id	sid	tid	token	lemma	pos
bae-8087	1	1	bio	bio	NOUN
bae-8087	1	2	-	-	PUNCT
bae-8087	1	3	based	base	VERB
bae-8087	1	4	and	and	CCONJ
bae-8087	1	5	applied	apply	VERB
bae-8087	1	6	economics	economic	NOUN
bae-8087	1	7	9(3	9(3	NUM
bae-8087	1	8	):	):	PUNCT
bae-8087	1	9	305	305	NUM
bae-8087	1	10	-	-	SYM
bae-8087	1	11	324	324	NUM
bae-8087	1	12	,	,	PUNCT
bae-8087	1	13	2020	2020	NUM
bae-8087	1	14	issn	issn	VERB
bae-8087	1	15	2280	2280	NUM
bae-8087	1	16	-	-	SYM
bae-8087	1	17	6180	6180	NUM
bae-8087	1	18	(	(	PUNCT
bae-8087	1	19	print	print	NOUN
bae-8087	1	20	)	)	PUNCT
bae-8087	1	21	©	©	PROPN
bae-8087	1	22	firenze	firenze	PROPN
bae-8087	1	23	university	university	PROPN
bae-8087	1	24	press	press	NOUN
bae-8087	1	25	issn	issn	VERB
bae-8087	1	26	2280	2280	NUM
bae-8087	1	27	-	-	SYM
bae-8087	1	28	6172	6172	NUM
bae-8087	1	29	(	(	PUNCT
bae-8087	1	30	online	online	ADJ
bae-8087	1	31	)	)	PUNCT
bae-8087	1	32	www.fupress.com/bae	www.fupress.com/bae	PROPN
bae-8087	1	33	full	full	ADJ
bae-8087	1	34	research	research	NOUN
bae-8087	1	35	article	article	NOUN
bae-8087	1	36	doi	doi	NOUN
bae-8087	1	37	:	:	PUNCT
bae-8087	1	38	10.13128	10.13128	NUM
bae-8087	1	39	/	/	SYM
bae-8087	1	40	bae-8087	bae-8087	NOUN
bae-8087	1	41	the	the	DET
bae-8087	1	42	use	use	NOUN
bae-8087	1	43	of	of	ADP
bae-8087	1	44	latent	latent	ADJ
bae-8087	1	45	variable	variable	ADJ
bae-8087	1	46	models	model	NOUN
bae-8087	1	47	in	in	ADP
bae-8087	1	48	policy	policy	NOUN
bae-8087	1	49	:	:	PUNCT
bae-8087	1	50	a	a	DET
bae-8087	1	51	road	road	NOUN
bae-8087	1	52	fraught	fraught	ADJ
bae-8087	1	53	with	with	ADP
bae-8087	1	54	peril	peril	NOUN
bae-8087	1	55	?	?	PUNCT
bae-8087	2	1	danny	danny	PROPN
bae-8087	2	2	campbell	campbell	PROPN
bae-8087	2	3	*	*	PROPN
bae-8087	2	4	,	,	PUNCT
bae-8087	2	5	erlend	erlend	VERB
bae-8087	2	6	dancke	dancke	PROPN
bae-8087	2	7	sandorf	sandorf	PROPN
bae-8087	2	8	university	university	PROPN
bae-8087	2	9	of	of	ADP
bae-8087	2	10	stirling	stirling	PROPN
bae-8087	2	11	,	,	PUNCT
bae-8087	2	12	stirling	stirling	NOUN
bae-8087	2	13	management	management	NOUN
bae-8087	2	14	school	school	NOUN
bae-8087	2	15	,	,	PUNCT
bae-8087	2	16	economics	economic	NOUN
bae-8087	2	17	division	division	NOUN
bae-8087	2	18	abstract	abstract	NOUN
bae-8087	2	19	.	.	PUNCT
bae-8087	3	1	this	this	DET
bae-8087	3	2	paper	paper	NOUN
bae-8087	3	3	explores	explore	VERB
bae-8087	3	4	the	the	DET
bae-8087	3	5	potential	potential	ADJ
bae-8087	3	6	usefulness	usefulness	NOUN
bae-8087	3	7	and	and	CCONJ
bae-8087	3	8	possible	possible	ADJ
bae-8087	3	9	pitfalls	pitfall	NOUN
bae-8087	3	10	of	of	ADP
bae-8087	3	11	using	use	VERB
bae-8087	3	12	integrated	integrated	ADJ
bae-8087	3	13	choice	choice	NOUN
bae-8087	3	14	and	and	CCONJ
bae-8087	3	15	latent	latent	NOUN
bae-8087	3	16	variable	variable	ADJ
bae-8087	3	17	models	model	NOUN
bae-8087	3	18	(	(	PUNCT
bae-8087	3	19	hybrid	hybrid	ADJ
bae-8087	3	20	choice	choice	NOUN
bae-8087	3	21	models	model	NOUN
bae-8087	3	22	)	)	PUNCT
bae-8087	3	23	on	on	ADP
bae-8087	3	24	stated	state	VERB
bae-8087	3	25	choice	choice	NOUN
bae-8087	3	26	data	datum	NOUN
bae-8087	3	27	to	to	PART
bae-8087	3	28	inform	inform	VERB
bae-8087	3	29	policy	policy	NOUN
bae-8087	3	30	.	.	PUNCT
bae-8087	4	1	using	use	VERB
bae-8087	4	2	a	a	DET
bae-8087	4	3	series	series	NOUN
bae-8087	4	4	of	of	ADP
bae-8087	4	5	monte	monte	PROPN
bae-8087	4	6	-	-	PUNCT
bae-8087	4	7	carlo	carlo	PROPN
bae-8087	4	8	simulations	simulation	NOUN
bae-8087	4	9	,	,	PUNCT
bae-8087	4	10	we	we	PRON
bae-8087	4	11	consider	consider	VERB
bae-8087	4	12	how	how	SCONJ
bae-8087	4	13	model	model	NOUN
bae-8087	4	14	selection	selection	NOUN
bae-8087	4	15	depends	depend	VERB
bae-8087	4	16	on	on	ADP
bae-8087	4	17	the	the	DET
bae-8087	4	18	strength	strength	NOUN
bae-8087	4	19	of	of	ADP
bae-8087	4	20	relationship	relationship	NOUN
bae-8087	4	21	between	between	ADP
bae-8087	4	22	the	the	DET
bae-8087	4	23	latent	latent	NOUN
bae-8087	4	24	variable	variable	NOUN
bae-8087	4	25	and	and	CCONJ
bae-8087	4	26	preferences	preference	NOUN
bae-8087	4	27	and	and	CCONJ
bae-8087	4	28	the	the	DET
bae-8087	4	29	strength	strength	NOUN
bae-8087	4	30	of	of	ADP
bae-8087	4	31	relationship	relationship	NOUN
bae-8087	4	32	between	between	ADP
bae-8087	4	33	the	the	DET
bae-8087	4	34	latent	latent	NOUN
bae-8087	4	35	variable	variable	NOUN
bae-8087	4	36	and	and	CCONJ
bae-8087	4	37	the	the	DET
bae-8087	4	38	indicator	indicator	NOUN
bae-8087	4	39	.	.	PUNCT
bae-8087	5	1	our	our	PRON
bae-8087	5	2	findings	finding	NOUN
bae-8087	5	3	show	show	VERB
bae-8087	5	4	that	that	SCONJ
bae-8087	5	5	integrated	integrated	ADJ
bae-8087	5	6	choice	choice	NOUN
bae-8087	5	7	and	and	CCONJ
bae-8087	5	8	latent	latent	NOUN
bae-8087	5	9	variable	variable	ADJ
bae-8087	5	10	models	model	NOUN
bae-8087	5	11	are	be	AUX
bae-8087	5	12	difficult	difficult	ADJ
bae-8087	5	13	to	to	PART
bae-8087	5	14	estimate	estimate	VERB
bae-8087	5	15	,	,	PUNCT
bae-8087	5	16	even	even	ADV
bae-8087	5	17	when	when	SCONJ
bae-8087	5	18	the	the	DET
bae-8087	5	19	data	data	NOUN
bae-8087	5	20	generating	generating	NOUN
bae-8087	5	21	process	process	NOUN
bae-8087	5	22	is	be	AUX
bae-8087	5	23	known	know	VERB
bae-8087	5	24	.	.	PUNCT
bae-8087	6	1	ultimately	ultimately	ADV
bae-8087	6	2	,	,	PUNCT
bae-8087	6	3	we	we	PRON
bae-8087	6	4	show	show	VERB
bae-8087	6	5	that	that	SCONJ
bae-8087	6	6	their	their	PRON
bae-8087	6	7	use	use	NOUN
bae-8087	6	8	should	should	AUX
bae-8087	6	9	be	be	AUX
bae-8087	6	10	driven	drive	VERB
bae-8087	6	11	by	by	ADP
bae-8087	6	12	the	the	DET
bae-8087	6	13	analyst	analyst	NOUN
bae-8087	6	14	’s	’s	PART
bae-8087	6	15	belief	belief	NOUN
bae-8087	6	16	about	about	ADP
bae-8087	6	17	the	the	DET
bae-8087	6	18	strength	strength	NOUN
bae-8087	6	19	of	of	ADP
bae-8087	6	20	correlations	correlation	NOUN
bae-8087	6	21	between	between	ADP
bae-8087	6	22	preferences	preference	NOUN
bae-8087	6	23	,	,	PUNCT
bae-8087	6	24	the	the	DET
bae-8087	6	25	latent	latent	NOUN
bae-8087	6	26	variable	variable	NOUN
bae-8087	6	27	and	and	CCONJ
bae-8087	6	28	indicator	indicator	NOUN
bae-8087	6	29	.	.	PUNCT
bae-8087	7	1	we	we	PRON
bae-8087	7	2	discuss	discuss	VERB
bae-8087	7	3	the	the	DET
bae-8087	7	4	implications	implication	NOUN
bae-8087	7	5	of	of	ADP
bae-8087	7	6	our	our	PRON
bae-8087	7	7	results	result	NOUN
bae-8087	7	8	for	for	ADP
bae-8087	7	9	policy	policy	NOUN
bae-8087	7	10	.	.	PUNCT
bae-8087	8	1	keywords	keyword	NOUN
bae-8087	8	2	.	.	PUNCT
bae-8087	9	1	stated	state	VERB
bae-8087	9	2	preferences	preference	NOUN
bae-8087	9	3	,	,	PUNCT
bae-8087	9	4	choice	choice	NOUN
bae-8087	9	5	modelling	modelling	NOUN
bae-8087	9	6	,	,	PUNCT
bae-8087	9	7	integrated	integrate	VERB
bae-8087	9	8	choice	choice	NOUN
bae-8087	9	9	and	and	CCONJ
bae-8087	9	10	latent	latent	NOUN
bae-8087	9	11	variables	variable	NOUN
bae-8087	9	12	,	,	PUNCT
bae-8087	9	13	hybrid	hybrid	ADJ
bae-8087	9	14	choice	choice	NOUN
bae-8087	9	15	model	model	NOUN
bae-8087	9	16	.	.	PUNCT
bae-8087	10	1	jel	jel	PROPN
bae-8087	10	2	codes	code	NOUN
bae-8087	10	3	.	.	PUNCT
bae-8087	11	1	c25	c25	PROPN
bae-8087	11	2	,	,	PUNCT
bae-8087	11	3	h41	h41	NOUN
bae-8087	11	4	,	,	PUNCT
bae-8087	11	5	q51	q51	NOUN
bae-8087	11	6	.	.	PUNCT
bae-8087	12	1	1	1	X
bae-8087	12	2	.	.	X
bae-8087	12	3	introduction	introduction	NOUN
bae-8087	12	4	many	many	ADJ
bae-8087	12	5	policies	policy	NOUN
bae-8087	12	6	affect	affect	VERB
bae-8087	12	7	the	the	DET
bae-8087	12	8	natural	natural	ADJ
bae-8087	12	9	environment	environment	NOUN
bae-8087	12	10	:	:	PUNCT
bae-8087	12	11	e.g.	e.g.	ADV
bae-8087	12	12	 	 	SPACE
bae-8087	12	13	a	a	DET
bae-8087	12	14	new	new	ADJ
bae-8087	12	15	hydro	hydro	NOUN
bae-8087	12	16	-	-	PUNCT
bae-8087	12	17	electric	electric	ADJ
bae-8087	12	18	dam	dam	NOUN
bae-8087	12	19	will	will	AUX
bae-8087	12	20	provide	provide	VERB
bae-8087	12	21	clean	clean	ADJ
bae-8087	12	22	renewable	renewable	ADJ
bae-8087	12	23	energy	energy	NOUN
bae-8087	12	24	and	and	CCONJ
bae-8087	12	25	jobs	job	NOUN
bae-8087	12	26	,	,	PUNCT
bae-8087	12	27	but	but	CCONJ
bae-8087	12	28	may	may	AUX
bae-8087	12	29	cause	cause	VERB
bae-8087	12	30	damage	damage	NOUN
bae-8087	12	31	to	to	ADP
bae-8087	12	32	the	the	DET
bae-8087	12	33	local	local	ADJ
bae-8087	12	34	river	river	NOUN
bae-8087	12	35	;	;	PUNCT
bae-8087	12	36	a	a	DET
bae-8087	12	37	new	new	ADJ
bae-8087	12	38	motorway	motorway	NOUN
bae-8087	12	39	will	will	AUX
bae-8087	12	40	reduce	reduce	VERB
bae-8087	12	41	travel	travel	NOUN
bae-8087	12	42	time	time	NOUN
bae-8087	12	43	,	,	PUNCT
bae-8087	12	44	but	but	CCONJ
bae-8087	12	45	may	may	AUX
bae-8087	12	46	be	be	AUX
bae-8087	12	47	built	build	VERB
bae-8087	12	48	in	in	ADP
bae-8087	12	49	a	a	DET
bae-8087	12	50	vulnerable	vulnerable	ADJ
bae-8087	12	51	natural	natural	ADJ
bae-8087	12	52	area	area	NOUN
bae-8087	12	53	;	;	PUNCT
bae-8087	12	54	and	and	CCONJ
bae-8087	12	55	,	,	PUNCT
bae-8087	12	56	a	a	DET
bae-8087	12	57	new	new	ADJ
bae-8087	12	58	conservation	conservation	NOUN
bae-8087	12	59	area	area	NOUN
bae-8087	12	60	will	will	AUX
bae-8087	12	61	protect	protect	VERB
bae-8087	12	62	a	a	DET
bae-8087	12	63	number	number	NOUN
bae-8087	12	64	of	of	ADP
bae-8087	12	65	vulnerable	vulnerable	ADJ
bae-8087	12	66	species	specie	NOUN
bae-8087	12	67	,	,	PUNCT
bae-8087	12	68	but	but	CCONJ
bae-8087	12	69	possibly	possibly	ADV
bae-8087	12	70	displace	displace	VERB
bae-8087	12	71	existing	exist	VERB
bae-8087	12	72	and	and	CCONJ
bae-8087	12	73	future	future	ADJ
bae-8087	12	74	industrial	industrial	ADJ
bae-8087	12	75	activity	activity	NOUN
bae-8087	12	76	and	and	CCONJ
bae-8087	12	77	development	development	NOUN
bae-8087	12	78	.	.	PUNCT
bae-8087	13	1	policy	policy	NOUN
bae-8087	13	2	makers	maker	NOUN
bae-8087	13	3	are	be	AUX
bae-8087	13	4	routinely	routinely	ADV
bae-8087	13	5	faced	face	VERB
bae-8087	13	6	with	with	ADP
bae-8087	13	7	these	these	DET
bae-8087	13	8	decisions	decision	NOUN
bae-8087	13	9	and	and	CCONJ
bae-8087	13	10	trade	trade	NOUN
bae-8087	13	11	-	-	PUNCT
bae-8087	13	12	offs	off	NOUN
bae-8087	13	13	,	,	PUNCT
bae-8087	13	14	and	and	CCONJ
bae-8087	13	15	in	in	ADP
bae-8087	13	16	many	many	ADJ
bae-8087	13	17	countries	country	NOUN
bae-8087	13	18	they	they	PRON
bae-8087	13	19	are	be	AUX
bae-8087	13	20	required	require	VERB
bae-8087	13	21	to	to	PART
bae-8087	13	22	undertake	undertake	VERB
bae-8087	13	23	cost	cost	NOUN
bae-8087	13	24	-	-	PUNCT
bae-8087	13	25	benefit	benefit	NOUN
bae-8087	13	26	analyses	analysis	NOUN
bae-8087	13	27	or	or	CCONJ
bae-8087	13	28	assessments	assessment	NOUN
bae-8087	13	29	.	.	PUNCT
bae-8087	14	1	problematically	problematically	ADV
bae-8087	14	2	,	,	PUNCT
bae-8087	14	3	many	many	ADJ
bae-8087	14	4	of	of	ADP
bae-8087	14	5	these	these	DET
bae-8087	14	6	costs	cost	NOUN
bae-8087	14	7	and	and	CCONJ
bae-8087	14	8	benefits	benefit	NOUN
bae-8087	14	9	are	be	AUX
bae-8087	14	10	not	not	PART
bae-8087	14	11	traded	trade	VERB
bae-8087	14	12	in	in	ADP
bae-8087	14	13	markets	market	NOUN
bae-8087	14	14	and	and	CCONJ
bae-8087	14	15	policy	policy	NOUN
bae-8087	14	16	makers	maker	NOUN
bae-8087	14	17	have	have	VERB
bae-8087	14	18	no	no	DET
bae-8087	14	19	information	information	NOUN
bae-8087	14	20	on	on	ADP
bae-8087	14	21	society	society	NOUN
bae-8087	14	22	’s	’s	PART
bae-8087	14	23	preferences	preference	NOUN
bae-8087	14	24	for	for	ADP
bae-8087	14	25	these	these	DET
bae-8087	14	26	non	non	ADJ
bae-8087	14	27	-	-	ADJ
bae-8087	14	28	market	market	ADJ
bae-8087	14	29	goods	good	NOUN
bae-8087	14	30	and	and	CCONJ
bae-8087	14	31	services	service	NOUN
bae-8087	14	32	.	.	PUNCT
bae-8087	15	1	stated	state	VERB
bae-8087	15	2	choice	choice	NOUN
bae-8087	15	3	experiments	experiment	NOUN
bae-8087	15	4	,	,	PUNCT
bae-8087	15	5	where	where	SCONJ
bae-8087	15	6	people	people	NOUN
bae-8087	15	7	are	be	AUX
bae-8087	15	8	asked	ask	VERB
bae-8087	15	9	to	to	PART
bae-8087	15	10	make	make	VERB
bae-8087	15	11	a	a	DET
bae-8087	15	12	choice	choice	NOUN
bae-8087	15	13	between	between	ADP
bae-8087	15	14	competing	compete	VERB
bae-8087	15	15	policy	policy	NOUN
bae-8087	15	16	alternatives	alternative	NOUN
bae-8087	15	17	,	,	PUNCT
bae-8087	15	18	are	be	AUX
bae-8087	15	19	a	a	DET
bae-8087	15	20	way	way	NOUN
bae-8087	15	21	to	to	PART
bae-8087	15	22	elicit	elicit	VERB
bae-8087	15	23	people	people	NOUN
bae-8087	15	24	’s	’s	PART
bae-8087	15	25	preferences	preference	NOUN
bae-8087	15	26	for	for	ADP
bae-8087	15	27	non	non	ADJ
bae-8087	15	28	-	-	ADJ
bae-8087	15	29	market	market	ADJ
bae-8087	15	30	goods	good	NOUN
bae-8087	15	31	and	and	CCONJ
bae-8087	15	32	services	service	NOUN
bae-8087	15	33	.	.	PUNCT
bae-8087	16	1	economists	economist	NOUN
bae-8087	16	2	have	have	AUX
bae-8087	16	3	long	long	ADV
bae-8087	16	4	recognized	recognize	VERB
bae-8087	16	5	that	that	SCONJ
bae-8087	16	6	people	people	NOUN
bae-8087	16	7	’s	’s	PART
bae-8087	16	8	choices	choice	NOUN
bae-8087	16	9	are	be	AUX
bae-8087	16	10	affected	affect	VERB
bae-8087	16	11	by	by	ADP
bae-8087	16	12	a	a	DET
bae-8087	16	13	multitude	multitude	NOUN
bae-8087	16	14	of	of	ADP
bae-8087	16	15	observable	observable	ADJ
bae-8087	16	16	(	(	PUNCT
bae-8087	16	17	e.g.	e.g.	ADV
bae-8087	16	18	 	 	SPACE
bae-8087	16	19	gender	gender	NOUN
bae-8087	16	20	,	,	PUNCT
bae-8087	16	21	age	age	NOUN
bae-8087	16	22	and	and	CCONJ
bae-8087	16	23	income	income	NOUN
bae-8087	16	24	)	)	PUNCT
bae-8087	16	25	and	and	CCONJ
bae-8087	16	26	unobservable	unobservable	ADJ
bae-8087	16	27	(	(	PUNCT
bae-8087	16	28	e.g.	e.g.	ADV
bae-8087	16	29	 	 	SPACE
bae-8087	16	30	attitudes	attitude	NOUN
bae-8087	16	31	and	and	CCONJ
bae-8087	16	32	beliefs	belief	NOUN
bae-8087	16	33	)	)	PUNCT
bae-8087	16	34	*	*	PUNCT
bae-8087	16	35	corresponding	correspond	VERB
bae-8087	16	36	author	author	NOUN
bae-8087	16	37	.	.	PUNCT
bae-8087	17	1	e	e	X
bae-8087	17	2	-	-	NOUN
bae-8087	17	3	mail	mail	NOUN
bae-8087	17	4	:	:	PUNCT
bae-8087	17	5	danny.campbell@stir.ac.uk	danny.campbell@stir.ac.uk	NUM
bae-8087	17	6	editor	editor	NOUN
bae-8087	17	7	:	:	PUNCT
bae-8087	17	8	meri	meri	PROPN
bae-8087	17	9	raggi	raggi	PROPN
bae-8087	17	10	.	.	PUNCT
bae-8087	18	1	306	306	NUM
bae-8087	18	2	danny	danny	PROPN
bae-8087	18	3	campbell	campbell	PROPN
bae-8087	18	4	,	,	PUNCT
bae-8087	18	5	erlend	erlend	VERB
bae-8087	18	6	dancke	dancke	PROPN
bae-8087	18	7	sandorf	sandorf	PROPN
bae-8087	18	8	individual	individual	PROPN
bae-8087	18	9	characteristics	characteristic	NOUN
bae-8087	18	10	in	in	ADP
bae-8087	18	11	addition	addition	NOUN
bae-8087	18	12	to	to	ADP
bae-8087	18	13	the	the	DET
bae-8087	18	14	characteristics	characteristic	NOUN
bae-8087	18	15	of	of	ADP
bae-8087	18	16	the	the	DET
bae-8087	18	17	options	option	NOUN
bae-8087	18	18	amongst	amongst	ADP
bae-8087	18	19	which	which	PRON
bae-8087	18	20	they	they	PRON
bae-8087	18	21	choose	choose	VERB
bae-8087	18	22	.	.	PUNCT
bae-8087	19	1	for	for	ADP
bae-8087	19	2	example	example	NOUN
bae-8087	19	3	,	,	PUNCT
bae-8087	19	4	when	when	SCONJ
bae-8087	19	5	asked	ask	VERB
bae-8087	19	6	to	to	PART
bae-8087	19	7	choose	choose	VERB
bae-8087	19	8	whether	whether	SCONJ
bae-8087	19	9	to	to	PART
bae-8087	19	10	support	support	VERB
bae-8087	19	11	a	a	DET
bae-8087	19	12	policy	policy	NOUN
bae-8087	19	13	to	to	PART
bae-8087	19	14	protect	protect	VERB
bae-8087	19	15	a	a	DET
bae-8087	19	16	river	river	NOUN
bae-8087	19	17	from	from	ADP
bae-8087	19	18	hydropower	hydropower	NOUN
bae-8087	19	19	development	development	NOUN
bae-8087	19	20	,	,	PUNCT
bae-8087	19	21	people	people	NOUN
bae-8087	19	22	’s	’s	PART
bae-8087	19	23	decision	decision	NOUN
bae-8087	19	24	will	will	AUX
bae-8087	19	25	likely	likely	ADV
bae-8087	19	26	depend	depend	VERB
bae-8087	19	27	on	on	ADP
bae-8087	19	28	their	their	PRON
bae-8087	19	29	income	income	NOUN
bae-8087	19	30	and	and	CCONJ
bae-8087	19	31	where	where	SCONJ
bae-8087	19	32	they	they	PRON
bae-8087	19	33	live	live	VERB
bae-8087	19	34	in	in	ADP
bae-8087	19	35	relation	relation	NOUN
bae-8087	19	36	to	to	ADP
bae-8087	19	37	the	the	DET
bae-8087	19	38	river	river	NOUN
bae-8087	19	39	,	,	PUNCT
bae-8087	19	40	but	but	CCONJ
bae-8087	19	41	also	also	ADV
bae-8087	19	42	their	their	PRON
bae-8087	19	43	attitudes	attitude	NOUN
bae-8087	19	44	towards	towards	ADP
bae-8087	19	45	development	development	NOUN
bae-8087	19	46	,	,	PUNCT
bae-8087	19	47	clean	clean	ADJ
bae-8087	19	48	energy	energy	NOUN
bae-8087	19	49	and	and	CCONJ
bae-8087	19	50	conservation	conservation	NOUN
bae-8087	19	51	.	.	PUNCT
bae-8087	20	1	testing	test	VERB
bae-8087	20	2	whether	whether	SCONJ
bae-8087	20	3	choices	choice	NOUN
bae-8087	20	4	are	be	AUX
bae-8087	20	5	different	different	ADJ
bae-8087	20	6	between	between	ADP
bae-8087	20	7	high	high	ADJ
bae-8087	20	8	and	and	CCONJ
bae-8087	20	9	low	low	ADJ
bae-8087	20	10	income	income	NOUN
bae-8087	20	11	people	people	NOUN
bae-8087	20	12	is	be	AUX
bae-8087	20	13	trivial	trivial	ADJ
bae-8087	20	14	and	and	CCONJ
bae-8087	20	15	straightforward	straightforward	ADJ
bae-8087	20	16	,	,	PUNCT
bae-8087	20	17	but	but	CCONJ
bae-8087	20	18	how	how	SCONJ
bae-8087	20	19	do	do	AUX
bae-8087	20	20	we	we	PRON
bae-8087	20	21	test	test	VERB
bae-8087	20	22	for	for	ADP
bae-8087	20	23	differences	difference	NOUN
bae-8087	20	24	in	in	ADP
bae-8087	20	25	attitudes	attitude	NOUN
bae-8087	20	26	and	and	CCONJ
bae-8087	20	27	beliefs	belief	NOUN
bae-8087	20	28	?	?	PUNCT
bae-8087	21	1	how	how	SCONJ
bae-8087	21	2	do	do	AUX
bae-8087	21	3	we	we	PRON
bae-8087	21	4	incorporate	incorporate	VERB
bae-8087	21	5	and	and	CCONJ
bae-8087	21	6	consider	consider	VERB
bae-8087	21	7	them	they	PRON
bae-8087	21	8	in	in	ADP
bae-8087	21	9	our	our	PRON
bae-8087	21	10	models	model	NOUN
bae-8087	21	11	?	?	PUNCT
bae-8087	22	1	the	the	DET
bae-8087	22	2	most	most	ADV
bae-8087	22	3	obvious	obvious	ADJ
bae-8087	22	4	,	,	PUNCT
bae-8087	22	5	and	and	CCONJ
bae-8087	22	6	perhaps	perhaps	ADV
bae-8087	22	7	most	most	ADV
bae-8087	22	8	intuitive	intuitive	ADJ
bae-8087	22	9	,	,	PUNCT
bae-8087	22	10	way	way	NOUN
bae-8087	22	11	to	to	PART
bae-8087	22	12	test	test	VERB
bae-8087	22	13	for	for	ADP
bae-8087	22	14	the	the	DET
bae-8087	22	15	marginal	marginal	ADJ
bae-8087	22	16	effect	effect	NOUN
bae-8087	22	17	of	of	ADP
bae-8087	22	18	an	an	DET
bae-8087	22	19	attitude	attitude	NOUN
bae-8087	22	20	or	or	CCONJ
bae-8087	22	21	belief	belief	NOUN
bae-8087	22	22	is	be	AUX
bae-8087	22	23	to	to	PART
bae-8087	22	24	use	use	VERB
bae-8087	22	25	an	an	DET
bae-8087	22	26	interaction	interaction	NOUN
bae-8087	22	27	term	term	NOUN
bae-8087	22	28	the	the	DET
bae-8087	22	29	same	same	ADJ
bae-8087	22	30	way	way	NOUN
bae-8087	22	31	we	we	PRON
bae-8087	22	32	would	would	AUX
bae-8087	22	33	when	when	SCONJ
bae-8087	22	34	exploring	explore	VERB
bae-8087	22	35	the	the	DET
bae-8087	22	36	marginal	marginal	ADJ
bae-8087	22	37	effects	effect	NOUN
bae-8087	22	38	of	of	ADP
bae-8087	22	39	age	age	NOUN
bae-8087	22	40	,	,	PUNCT
bae-8087	22	41	gender	gender	NOUN
bae-8087	22	42	or	or	CCONJ
bae-8087	22	43	income	income	NOUN
bae-8087	22	44	.	.	PUNCT
bae-8087	23	1	however	however	ADV
bae-8087	23	2	,	,	PUNCT
bae-8087	23	3	unlike	unlike	ADP
bae-8087	23	4	age	age	NOUN
bae-8087	23	5	,	,	PUNCT
bae-8087	23	6	gender	gender	NOUN
bae-8087	23	7	and	and	CCONJ
bae-8087	23	8	income	income	NOUN
bae-8087	23	9	,	,	PUNCT
bae-8087	23	10	attitudes	attitude	NOUN
bae-8087	23	11	and	and	CCONJ
bae-8087	23	12	beliefs	belief	NOUN
bae-8087	23	13	are	be	AUX
bae-8087	23	14	likely	likely	ADV
bae-8087	23	15	correlated	correlate	VERB
bae-8087	23	16	with	with	ADP
bae-8087	23	17	unobserved	unobserved	ADJ
bae-8087	23	18	factors	factor	NOUN
bae-8087	23	19	affecting	affect	VERB
bae-8087	23	20	choice	choice	NOUN
bae-8087	23	21	(	(	PUNCT
bae-8087	23	22	i.e.	i.e.	X
bae-8087	23	23	  	  	SPACE
bae-8087	23	24	the	the	DET
bae-8087	23	25	error	error	NOUN
bae-8087	23	26	term	term	NOUN
bae-8087	23	27	)	)	PUNCT
bae-8087	23	28	and	and	CCONJ
bae-8087	23	29	indicators	indicator	NOUN
bae-8087	23	30	of	of	ADP
bae-8087	23	31	attitudes	attitude	NOUN
bae-8087	23	32	and	and	CCONJ
bae-8087	23	33	beliefs	belief	NOUN
bae-8087	23	34	(	(	PUNCT
bae-8087	23	35	e.g.	e.g.	ADV
bae-8087	23	36	 	 	SPACE
bae-8087	23	37	likert	likert	ADJ
bae-8087	23	38	scale	scale	NOUN
bae-8087	23	39	survey	survey	NOUN
bae-8087	23	40	questions	question	NOUN
bae-8087	23	41	)	)	PUNCT
bae-8087	23	42	are	be	AUX
bae-8087	23	43	themselves	themselves	PRON
bae-8087	23	44	imperfect	imperfect	ADJ
bae-8087	23	45	measures	measure	NOUN
bae-8087	23	46	of	of	ADP
bae-8087	23	47	the	the	DET
bae-8087	23	48	true	true	ADJ
bae-8087	23	49	underlying	underlying	ADJ
bae-8087	23	50	attitude	attitude	NOUN
bae-8087	23	51	or	or	CCONJ
bae-8087	23	52	belief	belief	NOUN
bae-8087	23	53	.	.	PUNCT
bae-8087	24	1	if	if	SCONJ
bae-8087	24	2	either	either	PRON
bae-8087	24	3	of	of	ADP
bae-8087	24	4	these	these	PRON
bae-8087	24	5	are	be	AUX
bae-8087	24	6	true	true	ADJ
bae-8087	24	7	,	,	PUNCT
bae-8087	24	8	then	then	ADV
bae-8087	24	9	the	the	DET
bae-8087	24	10	model	model	NOUN
bae-8087	24	11	will	will	AUX
bae-8087	24	12	be	be	AUX
bae-8087	24	13	misspecified	misspecifie	VERB
bae-8087	24	14	and	and	CCONJ
bae-8087	24	15	the	the	DET
bae-8087	24	16	estimated	estimate	VERB
bae-8087	24	17	parameters	parameter	NOUN
bae-8087	24	18	may	may	AUX
bae-8087	24	19	be	be	AUX
bae-8087	24	20	biased	bias	VERB
bae-8087	24	21	(	(	PUNCT
bae-8087	24	22	endogeneity	endogeneity	NOUN
bae-8087	24	23	bias	bias	NOUN
bae-8087	24	24	and	and	CCONJ
bae-8087	24	25	measurement	measurement	NOUN
bae-8087	24	26	error	error	NOUN
bae-8087	24	27	)	)	PUNCT
bae-8087	24	28	(	(	PUNCT
bae-8087	24	29	ben	ben	PROPN
bae-8087	24	30	-	-	ADJ
bae-8087	24	31	akiva	akiva	NOUN
bae-8087	24	32	et	et	PROPN
bae-8087	24	33	al	al	PROPN
bae-8087	24	34	.	.	PROPN
bae-8087	24	35	,	,	PUNCT
bae-8087	24	36	2002	2002	NUM
bae-8087	24	37	;	;	PUNCT
bae-8087	24	38	hess	hess	NOUN
bae-8087	24	39	,	,	PUNCT
bae-8087	24	40	2012	2012	NUM
bae-8087	24	41	)	)	PUNCT
bae-8087	24	42	.	.	PUNCT
bae-8087	25	1	recently	recently	ADV
bae-8087	25	2	,	,	PUNCT
bae-8087	25	3	the	the	DET
bae-8087	25	4	integrated	integrated	ADJ
bae-8087	25	5	choice	choice	NOUN
bae-8087	25	6	and	and	CCONJ
bae-8087	25	7	latent	latent	NOUN
bae-8087	25	8	variable	variable	NOUN
bae-8087	25	9	(	(	PUNCT
bae-8087	25	10	iclv	iclv	NOUN
bae-8087	25	11	)	)	PUNCT
bae-8087	25	12	,	,	PUNCT
bae-8087	25	13	or	or	CCONJ
bae-8087	25	14	hybrid	hybrid	ADJ
bae-8087	25	15	choice	choice	NOUN
bae-8087	25	16	model	model	NOUN
bae-8087	25	17	(	(	PUNCT
bae-8087	25	18	ben	ben	PROPN
bae-8087	25	19	-	-	ADJ
bae-8087	25	20	akiva	akiva	NOUN
bae-8087	25	21	et	et	PROPN
bae-8087	25	22	al	al	PROPN
bae-8087	25	23	.	.	PROPN
bae-8087	25	24	,	,	PUNCT
bae-8087	25	25	2002	2002	NUM
bae-8087	25	26	;	;	PUNCT
bae-8087	25	27	mcfadden	mcfadden	PROPN
bae-8087	25	28	,	,	PUNCT
bae-8087	25	29	1986	1986	NUM
bae-8087	25	30	)	)	PUNCT
bae-8087	25	31	,	,	PUNCT
bae-8087	25	32	popularized	popularize	VERB
bae-8087	25	33	in	in	ADP
bae-8087	25	34	transport	transport	NOUN
bae-8087	25	35	(	(	PUNCT
bae-8087	25	36	bhat	bhat	PROPN
bae-8087	25	37	et	et	PROPN
bae-8087	25	38	al	al	PROPN
bae-8087	25	39	.	.	PROPN
bae-8087	25	40	,	,	PUNCT
bae-8087	25	41	2015	2015	NUM
bae-8087	25	42	;	;	PUNCT
bae-8087	25	43	hess	hess	NOUN
bae-8087	25	44	and	and	CCONJ
bae-8087	25	45	stathopoulos	stathopoulo	NOUN
bae-8087	25	46	,	,	PUNCT
bae-8087	25	47	2013	2013	NUM
bae-8087	25	48	)	)	PUNCT
bae-8087	25	49	,	,	PUNCT
bae-8087	25	50	has	have	AUX
bae-8087	25	51	gained	gain	VERB
bae-8087	25	52	traction	traction	NOUN
bae-8087	25	53	in	in	ADP
bae-8087	25	54	environmental	environmental	ADJ
bae-8087	25	55	economics	economic	NOUN
bae-8087	25	56	(	(	PUNCT
bae-8087	25	57	alemu	alemu	NOUN
bae-8087	25	58	and	and	CCONJ
bae-8087	25	59	olsen	olsen	NOUN
bae-8087	25	60	,	,	PUNCT
bae-8087	25	61	2019	2019	NUM
bae-8087	25	62	;	;	PUNCT
bae-8087	25	63	hoyos	hoyos	PROPN
bae-8087	25	64	et	et	PROPN
bae-8087	25	65	al	al	PROPN
bae-8087	25	66	.	.	PROPN
bae-8087	25	67	,	,	PUNCT
bae-8087	25	68	2015	2015	NUM
bae-8087	25	69	;	;	PUNCT
bae-8087	25	70	kassahun	kassahun	PROPN
bae-8087	25	71	et	et	PROPN
bae-8087	25	72	al	al	PROPN
bae-8087	25	73	.	.	PROPN
bae-8087	25	74	,	,	PUNCT
bae-8087	25	75	2016	2016	NUM
bae-8087	25	76	;	;	PUNCT
bae-8087	25	77	mariel	mariel	PROPN
bae-8087	25	78	and	and	CCONJ
bae-8087	25	79	meyerhoff	meyerhoff	NOUN
bae-8087	25	80	,	,	PUNCT
bae-8087	25	81	2016	2016	NUM
bae-8087	25	82	;	;	PUNCT
bae-8087	25	83	taye	taye	NOUN
bae-8087	25	84	et	et	NOUN
bae-8087	25	85	al	al	PROPN
bae-8087	25	86	.	.	PROPN
bae-8087	25	87	,	,	PUNCT
bae-8087	25	88	2018	2018	NUM
bae-8087	25	89	;	;	PUNCT
bae-8087	25	90	zawojska	zawojska	PROPN
bae-8087	25	91	et	et	PROPN
bae-8087	25	92	al	al	PROPN
bae-8087	25	93	.	.	PROPN
bae-8087	25	94	,	,	PUNCT
bae-8087	25	95	2019	2019	NUM
bae-8087	25	96	)	)	PUNCT
bae-8087	25	97	.	.	PUNCT
bae-8087	26	1	an	an	DET
bae-8087	26	2	iclv	iclv	ADJ
bae-8087	26	3	model	model	NOUN
bae-8087	26	4	combines	combine	VERB
bae-8087	26	5	structural	structural	ADJ
bae-8087	26	6	equation	equation	NOUN
bae-8087	26	7	modelling	model	VERB
bae-8087	26	8	with	with	ADP
bae-8087	26	9	discrete	discrete	ADJ
bae-8087	26	10	choice	choice	NOUN
bae-8087	26	11	modelling	modelling	NOUN
bae-8087	26	12	.	.	PUNCT
bae-8087	27	1	in	in	ADP
bae-8087	27	2	this	this	DET
bae-8087	27	3	modelling	modelling	NOUN
bae-8087	27	4	framework	framework	NOUN
bae-8087	27	5	,	,	PUNCT
bae-8087	27	6	we	we	PRON
bae-8087	27	7	assume	assume	VERB
bae-8087	27	8	that	that	SCONJ
bae-8087	27	9	(	(	PUNCT
bae-8087	27	10	unobserved	unobserved	ADJ
bae-8087	27	11	)	)	PUNCT
bae-8087	27	12	character	character	NOUN
bae-8087	27	13	traits	trait	NOUN
bae-8087	27	14	,	,	PUNCT
bae-8087	27	15	such	such	ADJ
bae-8087	27	16	as	as	ADP
bae-8087	27	17	pro	pro	ADJ
bae-8087	27	18	-	-	ADJ
bae-8087	27	19	environmental	environmental	ADJ
bae-8087	27	20	attitudes	attitude	NOUN
bae-8087	27	21	,	,	PUNCT
bae-8087	27	22	can	can	AUX
bae-8087	27	23	be	be	AUX
bae-8087	27	24	captured	capture	VERB
bae-8087	27	25	by	by	ADP
bae-8087	27	26	one	one	NUM
bae-8087	27	27	or	or	CCONJ
bae-8087	27	28	more	more	ADJ
bae-8087	27	29	latent	latent	NOUN
bae-8087	27	30	variables	variable	NOUN
bae-8087	27	31	defined	define	VERB
bae-8087	27	32	as	as	ADP
bae-8087	27	33	functions	function	NOUN
bae-8087	27	34	of	of	ADP
bae-8087	27	35	observable	observable	ADJ
bae-8087	27	36	characteristics	characteristic	NOUN
bae-8087	27	37	and	and	CCONJ
bae-8087	27	38	measures	measure	NOUN
bae-8087	27	39	intended	intend	VERB
bae-8087	27	40	to	to	PART
bae-8087	27	41	capture	capture	VERB
bae-8087	27	42	such	such	ADJ
bae-8087	27	43	attitudes	attitude	NOUN
bae-8087	27	44	,	,	PUNCT
bae-8087	27	45	e.g.	e.g.	ADV
bae-8087	27	46	 	 	SPACE
bae-8087	27	47	likert	likert	ADJ
bae-8087	27	48	scale	scale	NOUN
bae-8087	27	49	questions	question	NOUN
bae-8087	27	50	.	.	PUNCT
bae-8087	28	1	these	these	DET
bae-8087	28	2	latent	latent	NOUN
bae-8087	28	3	variables	variable	NOUN
bae-8087	28	4	can	can	AUX
bae-8087	28	5	be	be	AUX
bae-8087	28	6	included	include	VERB
bae-8087	28	7	directly	directly	ADV
bae-8087	28	8	in	in	ADP
bae-8087	28	9	our	our	PRON
bae-8087	28	10	choice	choice	NOUN
bae-8087	28	11	models	model	NOUN
bae-8087	28	12	to	to	PART
bae-8087	28	13	capture	capture	VERB
bae-8087	28	14	the	the	DET
bae-8087	28	15	effect	effect	NOUN
bae-8087	28	16	of	of	ADP
bae-8087	28	17	(	(	PUNCT
bae-8087	28	18	latent	latent	NOUN
bae-8087	28	19	)	)	PUNCT
bae-8087	28	20	attitudes	attitude	NOUN
bae-8087	28	21	and	and	CCONJ
bae-8087	28	22	beliefs	belief	NOUN
bae-8087	28	23	on	on	ADP
bae-8087	28	24	the	the	DET
bae-8087	28	25	probabilities	probability	NOUN
bae-8087	28	26	of	of	ADP
bae-8087	28	27	choice	choice	NOUN
bae-8087	28	28	(	(	PUNCT
bae-8087	28	29	ben	ben	PROPN
bae-8087	28	30	-	-	ADJ
bae-8087	28	31	akiva	akiva	NOUN
bae-8087	28	32	et	et	PROPN
bae-8087	28	33	al	al	PROPN
bae-8087	28	34	.	.	PROPN
bae-8087	28	35	,	,	PUNCT
bae-8087	28	36	2002	2002	NUM
bae-8087	28	37	)	)	PUNCT
bae-8087	28	38	.	.	PUNCT
bae-8087	29	1	the	the	DET
bae-8087	29	2	popularity	popularity	NOUN
bae-8087	29	3	of	of	ADP
bae-8087	29	4	iclv	iclv	NOUN
bae-8087	29	5	models	model	NOUN
bae-8087	29	6	stems	stem	VERB
bae-8087	29	7	from	from	ADP
bae-8087	29	8	claims	claim	NOUN
bae-8087	29	9	that	that	SCONJ
bae-8087	29	10	the	the	DET
bae-8087	29	11	inclusion	inclusion	NOUN
bae-8087	29	12	of	of	ADP
bae-8087	29	13	attitudes	attitude	NOUN
bae-8087	29	14	and	and	CCONJ
bae-8087	29	15	beliefs	belief	NOUN
bae-8087	29	16	through	through	ADP
bae-8087	29	17	latent	latent	NOUN
bae-8087	29	18	variables	variable	NOUN
bae-8087	29	19	leads	lead	VERB
bae-8087	29	20	to	to	ADP
bae-8087	29	21	improved	improved	ADJ
bae-8087	29	22	forecasts	forecast	NOUN
bae-8087	29	23	(	(	PUNCT
bae-8087	29	24	vij	vij	NOUN
bae-8087	29	25	and	and	CCONJ
bae-8087	29	26	walker	walker	NOUN
bae-8087	29	27	,	,	PUNCT
bae-8087	29	28	2016	2016	NUM
bae-8087	29	29	;	;	PUNCT
bae-8087	29	30	yáñez	yáñez	PROPN
bae-8087	29	31	et	et	PROPN
bae-8087	29	32	al	al	PROPN
bae-8087	29	33	.	.	PROPN
bae-8087	29	34	,	,	PUNCT
bae-8087	29	35	2010	2010	NUM
bae-8087	29	36	)	)	PUNCT
bae-8087	29	37	,	,	PUNCT
bae-8087	29	38	that	that	SCONJ
bae-8087	29	39	it	it	PRON
bae-8087	29	40	sheds	shed	VERB
bae-8087	29	41	more	more	ADJ
bae-8087	29	42	light	light	NOUN
bae-8087	29	43	on	on	ADP
bae-8087	29	44	preference	preference	NOUN
bae-8087	29	45	heterogeneity	heterogeneity	NOUN
bae-8087	29	46	(	(	PUNCT
bae-8087	29	47	kassahun	kassahun	PROPN
bae-8087	29	48	et	et	PROPN
bae-8087	29	49	al	al	PROPN
bae-8087	29	50	.	.	PROPN
bae-8087	29	51	,	,	PUNCT
bae-8087	29	52	2016	2016	NUM
bae-8087	29	53	;	;	PUNCT
bae-8087	29	54	mariel	mariel	PROPN
bae-8087	29	55	and	and	CCONJ
bae-8087	29	56	meyerhoff	meyerhoff	NOUN
bae-8087	29	57	,	,	PUNCT
bae-8087	29	58	2016	2016	NUM
bae-8087	29	59	)	)	PUNCT
bae-8087	29	60	,	,	PUNCT
bae-8087	29	61	and	and	CCONJ
bae-8087	29	62	that	that	SCONJ
bae-8087	29	63	it	it	PRON
bae-8087	29	64	allows	allow	VERB
bae-8087	29	65	for	for	ADP
bae-8087	29	66	the	the	DET
bae-8087	29	67	inclusion	inclusion	NOUN
bae-8087	29	68	of	of	ADP
bae-8087	29	69	attitudinal	attitudinal	ADJ
bae-8087	29	70	variables	variable	NOUN
bae-8087	29	71	and	and	CCONJ
bae-8087	29	72	beliefs	belief	NOUN
bae-8087	29	73	while	while	SCONJ
bae-8087	29	74	avoiding	avoid	VERB
bae-8087	29	75	issues	issue	NOUN
bae-8087	29	76	with	with	ADP
bae-8087	29	77	measurement	measurement	NOUN
bae-8087	29	78	error	error	NOUN
bae-8087	29	79	and	and	CCONJ
bae-8087	29	80	possible	possible	ADJ
bae-8087	29	81	endogeneity	endogeneity	NOUN
bae-8087	29	82	bias	bias	NOUN
bae-8087	29	83	(	(	PUNCT
bae-8087	29	84	ben	ben	PROPN
bae-8087	29	85	-	-	ADJ
bae-8087	29	86	akiva	akiva	PROPN
bae-8087	29	87	et	et	PROPN
bae-8087	29	88	al	al	PROPN
bae-8087	29	89	.	.	PROPN
bae-8087	29	90	,	,	PUNCT
bae-8087	29	91	2002	2002	NUM
bae-8087	29	92	;	;	PUNCT
bae-8087	29	93	guevara	guevara	PROPN
bae-8087	29	94	and	and	CCONJ
bae-8087	29	95	ben	ben	PROPN
bae-8087	29	96	-	-	PROPN
bae-8087	29	97	akiva	akiva	PROPN
bae-8087	29	98	,	,	PUNCT
bae-8087	29	99	2010).1	2010).1	ADV
bae-8087	29	100	the	the	DET
bae-8087	29	101	latter	latter	ADJ
bae-8087	29	102	is	be	AUX
bae-8087	29	103	only	only	ADV
bae-8087	29	104	true	true	ADJ
bae-8087	29	105	under	under	ADP
bae-8087	29	106	specific	specific	ADJ
bae-8087	29	107	conditions	condition	NOUN
bae-8087	29	108	(	(	PUNCT
bae-8087	29	109	vij	vij	NOUN
bae-8087	29	110	and	and	CCONJ
bae-8087	29	111	walker	walker	NOUN
bae-8087	29	112	,	,	PUNCT
bae-8087	29	113	2016	2016	NUM
bae-8087	29	114	)	)	PUNCT
bae-8087	29	115	.	.	PUNCT
bae-8087	30	1	measurement	measurement	NOUN
bae-8087	30	2	error	error	NOUN
bae-8087	30	3	and	and	CCONJ
bae-8087	30	4	endogeneity	endogeneity	NOUN
bae-8087	30	5	bias	bias	NOUN
bae-8087	30	6	aside	aside	ADV
bae-8087	30	7	,	,	PUNCT
bae-8087	30	8	the	the	DET
bae-8087	30	9	interpretability	interpretability	NOUN
bae-8087	30	10	of	of	ADP
bae-8087	30	11	the	the	DET
bae-8087	30	12	parameters	parameter	NOUN
bae-8087	30	13	in	in	ADP
bae-8087	30	14	iclv	iclv	NOUN
bae-8087	30	15	models	model	NOUN
bae-8087	30	16	remain	remain	VERB
bae-8087	30	17	a	a	DET
bae-8087	30	18	challenge	challenge	NOUN
bae-8087	30	19	,	,	PUNCT
bae-8087	30	20	especially	especially	ADV
bae-8087	30	21	if	if	SCONJ
bae-8087	30	22	we	we	PRON
bae-8087	30	23	seek	seek	VERB
bae-8087	30	24	to	to	PART
bae-8087	30	25	use	use	VERB
bae-8087	30	26	the	the	DET
bae-8087	30	27	model	model	NOUN
bae-8087	30	28	results	result	NOUN
bae-8087	30	29	to	to	PART
bae-8087	30	30	influence	influence	VERB
bae-8087	30	31	policy	policy	NOUN
bae-8087	30	32	.	.	PUNCT
bae-8087	31	1	in	in	ADP
bae-8087	31	2	an	an	DET
bae-8087	31	3	iclv	iclv	ADJ
bae-8087	31	4	model	model	NOUN
bae-8087	31	5	,	,	PUNCT
bae-8087	31	6	indicators	indicator	NOUN
bae-8087	31	7	only	only	ADV
bae-8087	31	8	affect	affect	VERB
bae-8087	31	9	choice	choice	NOUN
bae-8087	31	10	indirectly	indirectly	ADV
bae-8087	31	11	through	through	ADP
bae-8087	31	12	the	the	DET
bae-8087	31	13	latent	latent	NOUN
bae-8087	31	14	variable	variable	NOUN
bae-8087	31	15	.	.	PUNCT
bae-8087	32	1	the	the	DET
bae-8087	32	2	latent	latent	NOUN
bae-8087	32	3	variable	variable	NOUN
bae-8087	32	4	is	be	AUX
bae-8087	32	5	,	,	PUNCT
bae-8087	32	6	by	by	ADP
bae-8087	32	7	definition	definition	NOUN
bae-8087	32	8	,	,	PUNCT
bae-8087	32	9	unknown	unknown	ADJ
bae-8087	32	10	and	and	CCONJ
bae-8087	32	11	has	have	VERB
bae-8087	32	12	no	no	DET
bae-8087	32	13	direct	direct	ADJ
bae-8087	32	14	interpretability	interpretability	NOUN
bae-8087	32	15	.	.	PUNCT
bae-8087	33	1	as	as	ADP
bae-8087	33	2	such	such	ADJ
bae-8087	33	3	,	,	PUNCT
bae-8087	33	4	the	the	DET
bae-8087	33	5	indicators	indicator	NOUN
bae-8087	33	6	can	can	AUX
bae-8087	33	7	only	only	ADV
bae-8087	33	8	be	be	AUX
bae-8087	33	9	interpreted	interpret	VERB
bae-8087	33	10	in	in	ADP
bae-8087	33	11	relation	relation	NOUN
bae-8087	33	12	to	to	ADP
bae-8087	33	13	their	their	PRON
bae-8087	33	14	directional	directional	ADJ
bae-8087	33	15	impact	impact	NOUN
bae-8087	33	16	on	on	ADP
bae-8087	33	17	the	the	DET
bae-8087	33	18	latent	latent	NOUN
bae-8087	33	19	variable	variable	NOUN
bae-8087	33	20	and	and	CCONJ
bae-8087	33	21	its	its	PRON
bae-8087	33	22	directional	directional	ADJ
bae-8087	33	23	impact	impact	NOUN
bae-8087	33	24	on	on	ADP
bae-8087	33	25	utility	utility	NOUN
bae-8087	33	26	.	.	PUNCT
bae-8087	34	1	for	for	ADP
bae-8087	34	2	examples	example	NOUN
bae-8087	34	3	from	from	ADP
bae-8087	34	4	environmental	environmental	ADJ
bae-8087	34	5	economics	economic	NOUN
bae-8087	34	6	,	,	PUNCT
bae-8087	34	7	see	see	VERB
bae-8087	34	8	kassahun	kassahun	PROPN
bae-8087	34	9	et	et	PROPN
bae-8087	34	10	al	al	PROPN
bae-8087	34	11	.	.	PROPN
bae-8087	35	1	(	(	PUNCT
bae-8087	35	2	2016	2016	NUM
bae-8087	35	3	)	)	PUNCT
bae-8087	35	4	who	who	PRON
bae-8087	35	5	study	study	VERB
bae-8087	35	6	farmers	farmer	NOUN
bae-8087	35	7	’	’	PART
bae-8087	35	8	marginal	marginal	ADJ
bae-8087	35	9	willingness	willingness	NOUN
bae-8087	35	10	to	to	PART
bae-8087	35	11	pay	pay	VERB
bae-8087	35	12	(	(	PUNCT
bae-8087	35	13	mwtp	mwtp	NOUN
bae-8087	35	14	)	)	PUNCT
bae-8087	35	15	to	to	PART
bae-8087	35	16	adopt	adopt	VERB
bae-8087	35	17	irrigation	irrigation	NOUN
bae-8087	35	18	methods	method	NOUN
bae-8087	35	19	,	,	PUNCT
bae-8087	35	20	taye	taye	NOUN
bae-8087	35	21	et	et	NOUN
bae-8087	35	22	al	al	PROPN
bae-8087	35	23	.	.	PROPN
bae-8087	36	1	(	(	PUNCT
bae-8087	36	2	2018	2018	NUM
bae-8087	36	3	)	)	PUNCT
bae-8087	36	4	who	who	PRON
bae-8087	36	5	study	study	VERB
bae-8087	36	6	how	how	SCONJ
bae-8087	36	7	people	people	NOUN
bae-8087	36	8	’s	’s	PART
bae-8087	36	9	environmental	environmental	ADJ
bae-8087	36	10	attitudes	attitude	NOUN
bae-8087	36	11	affect	affect	VERB
bae-8087	36	12	their	their	PRON
bae-8087	36	13	mwtp	mwtp	NOUN
bae-8087	36	14	for	for	ADP
bae-8087	36	15	forest	forest	NOUN
bae-8087	36	16	management	management	NOUN
bae-8087	36	17	options	option	NOUN
bae-8087	36	18	,	,	PUNCT
bae-8087	36	19	alemu	alemu	NOUN
bae-8087	36	20	and	and	CCONJ
bae-8087	36	21	olsen	olsen	PROPN
bae-8087	36	22	(	(	PUNCT
bae-8087	36	23	2019	2019	NUM
bae-8087	36	24	)	)	PUNCT
bae-8087	36	25	who	who	PRON
bae-8087	36	26	try	try	VERB
bae-8087	36	27	to	to	PART
bae-8087	36	28	understand	understand	VERB
bae-8087	36	29	how	how	SCONJ
bae-8087	36	30	people	people	NOUN
bae-8087	36	31	’s	’s	PART
bae-8087	36	32	food	food	NOUN
bae-8087	36	33	choice	choice	NOUN
bae-8087	36	34	motives	motive	NOUN
bae-8087	36	35	affect	affect	VERB
bae-8087	36	36	their	their	PRON
bae-8087	36	37	mwtp	mwtp	NOUN
bae-8087	36	38	for	for	ADP
bae-8087	36	39	1	1	NUM
bae-8087	36	40	for	for	ADP
bae-8087	36	41	an	an	DET
bae-8087	36	42	overview	overview	NOUN
bae-8087	36	43	of	of	ADP
bae-8087	36	44	the	the	DET
bae-8087	36	45	historical	historical	ADJ
bae-8087	36	46	development	development	NOUN
bae-8087	36	47	of	of	ADP
bae-8087	36	48	hybrid	hybrid	ADJ
bae-8087	36	49	discrete	discrete	ADJ
bae-8087	36	50	choice	choice	NOUN
bae-8087	36	51	models	model	NOUN
bae-8087	36	52	,	,	PUNCT
bae-8087	36	53	we	we	PRON
bae-8087	36	54	refer	refer	VERB
bae-8087	36	55	the	the	DET
bae-8087	36	56	reader	reader	NOUN
bae-8087	36	57	to	to	ADP
bae-8087	36	58	(	(	PUNCT
bae-8087	36	59	bahamonde	bahamonde	VERB
bae-8087	36	60	-	-	PUNCT
bae-8087	36	61	birke	birke	NOUN
bae-8087	36	62	and	and	CCONJ
bae-8087	36	63	ortúzar	ortúzar	NOUN
bae-8087	36	64	,	,	PUNCT
bae-8087	36	65	2017	2017	NUM
bae-8087	36	66	)	)	PUNCT
bae-8087	36	67	.	.	PUNCT
bae-8087	37	1	307the	307the	DET
bae-8087	37	2	use	use	NOUN
bae-8087	37	3	of	of	ADP
bae-8087	37	4	latent	latent	ADJ
bae-8087	37	5	variable	variable	ADJ
bae-8087	37	6	models	model	NOUN
bae-8087	37	7	in	in	ADP
bae-8087	37	8	policy	policy	NOUN
bae-8087	37	9	:	:	PUNCT
bae-8087	37	10	a	a	DET
bae-8087	37	11	road	road	NOUN
bae-8087	37	12	fraught	fraught	ADJ
bae-8087	37	13	with	with	ADP
bae-8087	37	14	peril	peril	NOUN
bae-8087	37	15	?	?	PUNCT
bae-8087	38	1	insect	insect	NOUN
bae-8087	38	2	based	base	VERB
bae-8087	38	3	food	food	NOUN
bae-8087	38	4	products	product	NOUN
bae-8087	38	5	or	or	CCONJ
bae-8087	38	6	lundhede	lundhede	NOUN
bae-8087	38	7	et	et	PROPN
bae-8087	38	8	al	al	PROPN
bae-8087	38	9	.	.	PROPN
bae-8087	39	1	(	(	PUNCT
bae-8087	39	2	2015	2015	NUM
bae-8087	39	3	)	)	PUNCT
bae-8087	39	4	who	who	PRON
bae-8087	39	5	look	look	VERB
bae-8087	39	6	at	at	ADP
bae-8087	39	7	how	how	SCONJ
bae-8087	39	8	perceived	perceive	VERB
bae-8087	39	9	uncertainty	uncertainty	NOUN
bae-8087	39	10	about	about	ADP
bae-8087	39	11	policy	policy	NOUN
bae-8087	39	12	outcomes	outcome	NOUN
bae-8087	39	13	affect	affect	VERB
bae-8087	39	14	bird	bird	NOUN
bae-8087	39	15	conservation	conservation	NOUN
bae-8087	39	16	under	under	ADP
bae-8087	39	17	climate	climate	NOUN
bae-8087	39	18	change	change	NOUN
bae-8087	39	19	.	.	PUNCT
bae-8087	40	1	to	to	PART
bae-8087	40	2	aid	aid	VERB
bae-8087	40	3	interpretability	interpretability	NOUN
bae-8087	40	4	of	of	ADP
bae-8087	40	5	the	the	DET
bae-8087	40	6	latent	latent	NOUN
bae-8087	40	7	variable	variable	NOUN
bae-8087	40	8	and	and	CCONJ
bae-8087	40	9	to	to	PART
bae-8087	40	10	gain	gain	VERB
bae-8087	40	11	a	a	DET
bae-8087	40	12	better	well	ADJ
bae-8087	40	13	understanding	understanding	NOUN
bae-8087	40	14	of	of	ADP
bae-8087	40	15	what	what	PRON
bae-8087	40	16	drives	drive	VERB
bae-8087	40	17	heterogeneity	heterogeneity	NOUN
bae-8087	40	18	in	in	ADP
bae-8087	40	19	welfare	welfare	NOUN
bae-8087	40	20	measures	measure	NOUN
bae-8087	40	21	,	,	PUNCT
bae-8087	40	22	hoyos	hoyos	PROPN
bae-8087	40	23	et	et	PROPN
bae-8087	40	24	al	al	PROPN
bae-8087	40	25	.	.	PROPN
bae-8087	41	1	(	(	PUNCT
bae-8087	41	2	2015	2015	NUM
bae-8087	41	3	)	)	PUNCT
bae-8087	41	4	,	,	PUNCT
bae-8087	41	5	mariel	mariel	PROPN
bae-8087	41	6	and	and	CCONJ
bae-8087	41	7	meyerhoff	meyerhoff	NOUN
bae-8087	41	8	(	(	PUNCT
bae-8087	41	9	2016	2016	NUM
bae-8087	41	10	)	)	PUNCT
bae-8087	41	11	and	and	CCONJ
bae-8087	41	12	mariel	mariel	PROPN
bae-8087	41	13	et	et	PROPN
bae-8087	41	14	al	al	PROPN
bae-8087	41	15	.	.	PROPN
bae-8087	42	1	(	(	PUNCT
bae-8087	42	2	2018	2018	NUM
bae-8087	42	3	)	)	PUNCT
bae-8087	42	4	argue	argue	VERB
bae-8087	42	5	in	in	ADP
bae-8087	42	6	a	a	DET
bae-8087	42	7	series	series	NOUN
bae-8087	42	8	of	of	ADP
bae-8087	42	9	papers	paper	NOUN
bae-8087	42	10	,	,	PUNCT
bae-8087	42	11	all	all	PRON
bae-8087	42	12	in	in	ADP
bae-8087	42	13	environmental	environmental	ADJ
bae-8087	42	14	economics	economic	NOUN
bae-8087	42	15	,	,	PUNCT
bae-8087	42	16	that	that	SCONJ
bae-8087	42	17	practitioners	practitioner	NOUN
bae-8087	42	18	should	should	AUX
bae-8087	42	19	use	use	VERB
bae-8087	42	20	exploratory	exploratory	ADJ
bae-8087	42	21	factor	factor	NOUN
bae-8087	42	22	analysis	analysis	NOUN
bae-8087	42	23	to	to	PART
bae-8087	42	24	identify	identify	VERB
bae-8087	42	25	which	which	DET
bae-8087	42	26	indicators	indicator	NOUN
bae-8087	42	27	are	be	AUX
bae-8087	42	28	appropriate	appropriate	ADJ
bae-8087	42	29	for	for	ADP
bae-8087	42	30	each	each	DET
bae-8087	42	31	latent	latent	NOUN
bae-8087	42	32	variable	variable	NOUN
bae-8087	42	33	.	.	PUNCT
bae-8087	43	1	this	this	DET
bae-8087	43	2	approach	approach	NOUN
bae-8087	43	3	can	can	AUX
bae-8087	43	4	also	also	ADV
bae-8087	43	5	be	be	AUX
bae-8087	43	6	helpful	helpful	ADJ
bae-8087	43	7	in	in	ADP
bae-8087	43	8	model	model	NOUN
bae-8087	43	9	estimation	estimation	NOUN
bae-8087	43	10	,	,	PUNCT
bae-8087	43	11	because	because	SCONJ
bae-8087	43	12	more	more	ADV
bae-8087	43	13	appropriate	appropriate	ADJ
bae-8087	43	14	indicators	indicator	NOUN
bae-8087	43	15	should	should	AUX
bae-8087	43	16	make	make	VERB
bae-8087	43	17	estimation	estimation	NOUN
bae-8087	43	18	of	of	ADP
bae-8087	43	19	the	the	DET
bae-8087	43	20	model	model	NOUN
bae-8087	43	21	easier	easy	ADJ
bae-8087	43	22	.	.	PUNCT
bae-8087	44	1	an	an	DET
bae-8087	44	2	alternative	alternative	NOUN
bae-8087	44	3	,	,	PUNCT
bae-8087	44	4	or	or	CCONJ
bae-8087	44	5	perhaps	perhaps	ADV
bae-8087	44	6	complement	complement	VERB
bae-8087	44	7	,	,	PUNCT
bae-8087	44	8	to	to	ADP
bae-8087	44	9	the	the	DET
bae-8087	44	10	exploratory	exploratory	ADJ
bae-8087	44	11	analysis	analysis	NOUN
bae-8087	44	12	is	be	AUX
bae-8087	44	13	to	to	PART
bae-8087	44	14	use	use	VERB
bae-8087	44	15	already	already	ADV
bae-8087	44	16	validated	validate	VERB
bae-8087	44	17	scales	scale	NOUN
bae-8087	44	18	to	to	PART
bae-8087	44	19	elicit	elicit	VERB
bae-8087	44	20	attitudes	attitude	NOUN
bae-8087	44	21	or	or	CCONJ
bae-8087	44	22	personality	personality	NOUN
bae-8087	44	23	traits	trait	NOUN
bae-8087	44	24	(	(	PUNCT
bae-8087	44	25	alemu	alemu	NOUN
bae-8087	44	26	and	and	CCONJ
bae-8087	44	27	olsen	olsen	NOUN
bae-8087	44	28	,	,	PUNCT
bae-8087	44	29	2019	2019	NUM
bae-8087	44	30	;	;	PUNCT
bae-8087	44	31	boyce	boyce	PROPN
bae-8087	44	32	et	et	PROPN
bae-8087	44	33	al	al	PROPN
bae-8087	44	34	.	.	PROPN
bae-8087	44	35	,	,	PUNCT
bae-8087	44	36	2019	2019	NUM
bae-8087	44	37	;	;	PUNCT
bae-8087	44	38	hoyos	hoyos	PROPN
bae-8087	44	39	et	et	PROPN
bae-8087	44	40	al	al	PROPN
bae-8087	44	41	.	.	PROPN
bae-8087	44	42	,	,	PUNCT
bae-8087	44	43	2015	2015	NUM
bae-8087	44	44	;	;	PUNCT
bae-8087	44	45	taye	taye	NOUN
bae-8087	44	46	et	et	NOUN
bae-8087	44	47	al	al	PROPN
bae-8087	44	48	.	.	PROPN
bae-8087	44	49	,	,	PUNCT
bae-8087	44	50	2018	2018	NUM
bae-8087	44	51	)	)	PUNCT
bae-8087	44	52	.	.	PUNCT
bae-8087	45	1	that	that	PRON
bae-8087	45	2	said	say	VERB
bae-8087	45	3	,	,	PUNCT
bae-8087	45	4	vij	vij	PROPN
bae-8087	45	5	and	and	CCONJ
bae-8087	45	6	walker	walker	PROPN
bae-8087	45	7	(	(	PUNCT
bae-8087	45	8	2016	2016	NUM
bae-8087	45	9	)	)	PUNCT
bae-8087	45	10	show	show	VERB
bae-8087	45	11	that	that	SCONJ
bae-8087	45	12	a	a	DET
bae-8087	45	13	reduced	reduce	VERB
bae-8087	45	14	form	form	NOUN
bae-8087	45	15	model	model	NOUN
bae-8087	45	16	without	without	ADP
bae-8087	45	17	latent	latent	NOUN
bae-8087	45	18	variables	variable	NOUN
bae-8087	45	19	may	may	AUX
bae-8087	45	20	fit	fit	VERB
bae-8087	45	21	the	the	DET
bae-8087	45	22	data	datum	NOUN
bae-8087	45	23	at	at	ADV
bae-8087	45	24	least	least	ADJ
bae-8087	45	25	as	as	ADV
bae-8087	45	26	well	well	ADV
bae-8087	45	27	as	as	ADP
bae-8087	45	28	a	a	DET
bae-8087	45	29	latent	latent	ADJ
bae-8087	45	30	variable	variable	ADJ
bae-8087	45	31	model	model	NOUN
bae-8087	45	32	if	if	SCONJ
bae-8087	45	33	the	the	DET
bae-8087	45	34	observable	observable	ADJ
bae-8087	45	35	explanatory	explanatory	ADJ
bae-8087	45	36	variables	variable	NOUN
bae-8087	45	37	are	be	AUX
bae-8087	45	38	good	good	ADJ
bae-8087	45	39	predictors	predictor	NOUN
bae-8087	45	40	of	of	ADP
bae-8087	45	41	the	the	DET
bae-8087	45	42	latent	latent	NOUN
bae-8087	45	43	variables	variable	NOUN
bae-8087	45	44	,	,	PUNCT
bae-8087	45	45	which	which	PRON
bae-8087	45	46	is	be	AUX
bae-8087	45	47	a	a	DET
bae-8087	45	48	specific	specific	ADJ
bae-8087	45	49	case	case	NOUN
bae-8087	45	50	of	of	ADP
bae-8087	45	51	the	the	DET
bae-8087	45	52	general	general	ADJ
bae-8087	45	53	result	result	NOUN
bae-8087	45	54	provided	provide	VERB
bae-8087	45	55	by	by	ADP
bae-8087	45	56	(	(	PUNCT
bae-8087	45	57	mcfadden	mcfadden	PROPN
bae-8087	45	58	and	and	CCONJ
bae-8087	45	59	train	train	PROPN
bae-8087	45	60	,	,	PUNCT
bae-8087	45	61	2000	2000	NUM
bae-8087	45	62	)	)	PUNCT
bae-8087	45	63	.	.	PUNCT
bae-8087	46	1	chorus	chorus	NOUN
bae-8087	46	2	and	and	CCONJ
bae-8087	46	3	kroesen	kroesen	PROPN
bae-8087	46	4	(	(	PUNCT
bae-8087	46	5	2014	2014	NUM
bae-8087	46	6	)	)	PUNCT
bae-8087	46	7	caution	caution	NOUN
bae-8087	46	8	that	that	SCONJ
bae-8087	46	9	using	use	VERB
bae-8087	46	10	the	the	DET
bae-8087	46	11	results	result	NOUN
bae-8087	46	12	of	of	ADP
bae-8087	46	13	an	an	DET
bae-8087	46	14	iclv	iclv	ADJ
bae-8087	46	15	model	model	NOUN
bae-8087	46	16	to	to	PART
bae-8087	46	17	inform	inform	VERB
bae-8087	46	18	policies	policy	NOUN
bae-8087	46	19	that	that	PRON
bae-8087	46	20	seek	seek	VERB
bae-8087	46	21	to	to	PART
bae-8087	46	22	influence	influence	VERB
bae-8087	46	23	choice	choice	NOUN
bae-8087	46	24	by	by	ADP
bae-8087	46	25	targeting	target	VERB
bae-8087	46	26	the	the	DET
bae-8087	46	27	latent	latent	NOUN
bae-8087	46	28	variable	variable	NOUN
bae-8087	46	29	is	be	AUX
bae-8087	46	30	inappropriate	inappropriate	ADJ
bae-8087	46	31	given	give	VERB
bae-8087	46	32	the	the	DET
bae-8087	46	33	cross	cross	ADJ
bae-8087	46	34	-	-	ADJ
bae-8087	46	35	sectional	sectional	ADJ
bae-8087	46	36	nature	nature	NOUN
bae-8087	46	37	of	of	ADP
bae-8087	46	38	the	the	DET
bae-8087	46	39	data	datum	NOUN
bae-8087	46	40	(	(	PUNCT
bae-8087	46	41	i.e.	i.e.	X
bae-8087	46	42	 	 	SPACE
bae-8087	46	43	only	only	ADV
bae-8087	46	44	between	between	ADP
bae-8087	46	45	-	-	PUNCT
bae-8087	46	46	individual	individual	ADJ
bae-8087	46	47	comparisons	comparison	NOUN
bae-8087	46	48	based	base	VERB
bae-8087	46	49	on	on	ADP
bae-8087	46	50	differences	difference	NOUN
bae-8087	46	51	in	in	ADP
bae-8087	46	52	the	the	DET
bae-8087	46	53	latent	latent	NOUN
bae-8087	46	54	variable	variable	NOUN
bae-8087	46	55	can	can	AUX
bae-8087	46	56	be	be	AUX
bae-8087	46	57	accommodated	accommodate	VERB
bae-8087	46	58	,	,	PUNCT
bae-8087	46	59	rather	rather	ADV
bae-8087	46	60	than	than	ADP
bae-8087	46	61	within	within	ADP
bae-8087	46	62	-	-	PUNCT
bae-8087	46	63	individual	individual	ADJ
bae-8087	46	64	comparisons	comparison	NOUN
bae-8087	46	65	based	base	VERB
bae-8087	46	66	on	on	ADP
bae-8087	46	67	changes	change	NOUN
bae-8087	46	68	in	in	ADP
bae-8087	46	69	the	the	DET
bae-8087	46	70	latent	latent	NOUN
bae-8087	46	71	variable	variable	NOUN
bae-8087	46	72	)	)	PUNCT
bae-8087	46	73	and	and	CCONJ
bae-8087	46	74	the	the	DET
bae-8087	46	75	possibly	possibly	ADV
bae-8087	46	76	endogenous	endogenous	ADJ
bae-8087	46	77	relationship	relationship	NOUN
bae-8087	46	78	between	between	ADP
bae-8087	46	79	the	the	DET
bae-8087	46	80	latent	latent	NOUN
bae-8087	46	81	variable	variable	NOUN
bae-8087	46	82	and	and	CCONJ
bae-8087	46	83	choice	choice	NOUN
bae-8087	46	84	.	.	PUNCT
bae-8087	47	1	it	it	PRON
bae-8087	47	2	is	be	AUX
bae-8087	47	3	also	also	ADV
bae-8087	47	4	important	important	ADJ
bae-8087	47	5	to	to	PART
bae-8087	47	6	keep	keep	VERB
bae-8087	47	7	in	in	ADP
bae-8087	47	8	mind	mind	NOUN
bae-8087	47	9	that	that	SCONJ
bae-8087	47	10	as	as	ADP
bae-8087	47	11	the	the	DET
bae-8087	47	12	complexity	complexity	NOUN
bae-8087	47	13	of	of	ADP
bae-8087	47	14	our	our	PRON
bae-8087	47	15	models	model	NOUN
bae-8087	47	16	–	–	PUNCT
bae-8087	47	17	and	and	CCONJ
bae-8087	47	18	our	our	PRON
bae-8087	47	19	ability	ability	NOUN
bae-8087	47	20	to	to	PART
bae-8087	47	21	capture	capture	VERB
bae-8087	47	22	more	more	ADJ
bae-8087	47	23	heterogeneity	heterogeneity	NOUN
bae-8087	47	24	–	–	PUNCT
bae-8087	47	25	increase	increase	NOUN
bae-8087	47	26	,	,	PUNCT
bae-8087	47	27	we	we	PRON
bae-8087	47	28	need	need	VERB
bae-8087	47	29	to	to	PART
bae-8087	47	30	be	be	AUX
bae-8087	47	31	careful	careful	ADJ
bae-8087	47	32	that	that	SCONJ
bae-8087	47	33	we	we	PRON
bae-8087	47	34	do	do	AUX
bae-8087	47	35	not	not	PART
bae-8087	47	36	tailor	tailor	VERB
bae-8087	47	37	our	our	PRON
bae-8087	47	38	model	model	NOUN
bae-8087	47	39	too	too	ADV
bae-8087	47	40	close	close	ADJ
bae-8087	47	41	to	to	ADP
bae-8087	47	42	the	the	DET
bae-8087	47	43	sample	sample	NOUN
bae-8087	47	44	data	datum	NOUN
bae-8087	47	45	.	.	PUNCT
bae-8087	48	1	this	this	PRON
bae-8087	48	2	may	may	AUX
bae-8087	48	3	compromise	compromise	VERB
bae-8087	48	4	our	our	PRON
bae-8087	48	5	ability	ability	NOUN
bae-8087	48	6	to	to	PART
bae-8087	48	7	generalize	generalize	VERB
bae-8087	48	8	our	our	PRON
bae-8087	48	9	model	model	NOUN
bae-8087	48	10	and	and	CCONJ
bae-8087	48	11	results	result	NOUN
bae-8087	48	12	beyond	beyond	ADP
bae-8087	48	13	the	the	DET
bae-8087	48	14	existing	exist	VERB
bae-8087	48	15	dataset	dataset	NOUN
bae-8087	48	16	and	and	CCONJ
bae-8087	48	17	limit	limit	VERB
bae-8087	48	18	the	the	DET
bae-8087	48	19	usefulness	usefulness	NOUN
bae-8087	48	20	to	to	ADP
bae-8087	48	21	policy	policy	NOUN
bae-8087	48	22	makers	maker	NOUN
bae-8087	48	23	.	.	PUNCT
bae-8087	49	1	while	while	SCONJ
bae-8087	49	2	end	end	NOUN
bae-8087	49	3	users	user	NOUN
bae-8087	49	4	will	will	AUX
bae-8087	49	5	often	often	ADV
bae-8087	49	6	want	want	VERB
bae-8087	49	7	to	to	PART
bae-8087	49	8	establish	establish	VERB
bae-8087	49	9	the	the	DET
bae-8087	49	10	relationship	relationship	NOUN
bae-8087	49	11	between	between	ADP
bae-8087	49	12	the	the	DET
bae-8087	49	13	dependent	dependent	ADJ
bae-8087	49	14	variable(s	variable(s	NOUN
bae-8087	49	15	)	)	PUNCT
bae-8087	49	16	and	and	CCONJ
bae-8087	49	17	a	a	DET
bae-8087	49	18	relatively	relatively	ADV
bae-8087	49	19	small	small	ADJ
bae-8087	49	20	number	number	NOUN
bae-8087	49	21	of	of	ADP
bae-8087	49	22	key	key	ADJ
bae-8087	49	23	independent	independent	ADJ
bae-8087	49	24	variables	variable	NOUN
bae-8087	49	25	,	,	PUNCT
bae-8087	49	26	increasing	increase	VERB
bae-8087	49	27	model	model	NOUN
bae-8087	49	28	complexity	complexity	NOUN
bae-8087	49	29	is	be	AUX
bae-8087	49	30	justified	justify	VERB
bae-8087	49	31	only	only	ADV
bae-8087	49	32	if	if	SCONJ
bae-8087	49	33	it	it	PRON
bae-8087	49	34	produces	produce	VERB
bae-8087	49	35	reasonably	reasonably	ADV
bae-8087	49	36	more	more	ADV
bae-8087	49	37	accurate	accurate	ADJ
bae-8087	49	38	results	result	NOUN
bae-8087	49	39	.	.	PUNCT
bae-8087	50	1	while	while	SCONJ
bae-8087	50	2	a	a	DET
bae-8087	50	3	familiar	familiar	ADJ
bae-8087	50	4	aphorism	aphorism	NOUN
bae-8087	50	5	among	among	ADP
bae-8087	50	6	econometricians	econometricians	PROPN
bae-8087	50	7	is	be	AUX
bae-8087	50	8	that	that	SCONJ
bae-8087	50	9	“	"	PUNCT
bae-8087	50	10	all	all	DET
bae-8087	50	11	models	model	NOUN
bae-8087	50	12	are	be	AUX
bae-8087	50	13	wrong	wrong	ADJ
bae-8087	50	14	”	"	PUNCT
bae-8087	50	15	,	,	PUNCT
bae-8087	50	16	some	some	DET
bae-8087	50	17	models	model	NOUN
bae-8087	50	18	are	be	AUX
bae-8087	50	19	more	more	ADV
bae-8087	50	20	wrong	wrong	ADJ
bae-8087	50	21	than	than	ADP
bae-8087	50	22	others	other	NOUN
bae-8087	50	23	,	,	PUNCT
bae-8087	50	24	and	and	CCONJ
bae-8087	50	25	to	to	PART
bae-8087	50	26	be	be	AUX
bae-8087	50	27	of	of	ADP
bae-8087	50	28	practical	practical	ADJ
bae-8087	50	29	use	use	NOUN
bae-8087	50	30	there	there	PRON
bae-8087	50	31	is	be	VERB
bae-8087	50	32	a	a	DET
bae-8087	50	33	need	need	NOUN
bae-8087	50	34	to	to	PART
bae-8087	50	35	ensure	ensure	VERB
bae-8087	50	36	that	that	SCONJ
bae-8087	50	37	our	our	PRON
bae-8087	50	38	results	result	NOUN
bae-8087	50	39	are	be	AUX
bae-8087	50	40	understandable	understandable	ADJ
bae-8087	50	41	and	and	CCONJ
bae-8087	50	42	meaningful	meaningful	ADJ
bae-8087	50	43	.	.	PUNCT
bae-8087	51	1	that	that	DET
bae-8087	51	2	responsibility	responsibility	NOUN
bae-8087	51	3	lies	lie	VERB
bae-8087	51	4	with	with	ADP
bae-8087	51	5	us	we	PRON
bae-8087	51	6	.	.	PUNCT
bae-8087	52	1	so	so	ADV
bae-8087	52	2	what	what	PRON
bae-8087	52	3	then	then	ADV
bae-8087	52	4	,	,	PUNCT
bae-8087	52	5	is	be	AUX
bae-8087	52	6	the	the	DET
bae-8087	52	7	additional	additional	ADJ
bae-8087	52	8	benefit	benefit	NOUN
bae-8087	52	9	of	of	ADP
bae-8087	52	10	developing	develop	VERB
bae-8087	52	11	an	an	DET
bae-8087	52	12	iclv	iclv	ADJ
bae-8087	52	13	model	model	NOUN
bae-8087	52	14	?	?	PUNCT
bae-8087	53	1	we	we	PRON
bae-8087	53	2	argue	argue	VERB
bae-8087	53	3	in	in	ADP
bae-8087	53	4	this	this	DET
bae-8087	53	5	paper	paper	NOUN
bae-8087	53	6	that	that	SCONJ
bae-8087	53	7	while	while	SCONJ
bae-8087	53	8	model	model	NOUN
bae-8087	53	9	fit	fit	NOUN
bae-8087	53	10	is	be	AUX
bae-8087	53	11	obviously	obviously	ADV
bae-8087	53	12	important	important	ADJ
bae-8087	53	13	,	,	PUNCT
bae-8087	53	14	it	it	PRON
bae-8087	53	15	is	be	AUX
bae-8087	53	16	not	not	PART
bae-8087	53	17	the	the	DET
bae-8087	53	18	be	be	AUX
bae-8087	53	19	all	all	PRON
bae-8087	53	20	and	and	CCONJ
bae-8087	53	21	end	end	VERB
bae-8087	53	22	all	all	PRON
bae-8087	53	23	of	of	ADP
bae-8087	53	24	model	model	NOUN
bae-8087	53	25	selection	selection	NOUN
bae-8087	53	26	;	;	PUNCT
bae-8087	53	27	and	and	CCONJ
bae-8087	53	28	that	that	SCONJ
bae-8087	53	29	while	while	SCONJ
bae-8087	53	30	using	use	VERB
bae-8087	53	31	hybrid	hybrid	ADJ
bae-8087	53	32	models	model	NOUN
bae-8087	53	33	to	to	PART
bae-8087	53	34	suggest	suggest	VERB
bae-8087	53	35	polices	police	NOUN
bae-8087	53	36	that	that	PRON
bae-8087	53	37	target	target	VERB
bae-8087	53	38	the	the	DET
bae-8087	53	39	latent	latent	NOUN
bae-8087	53	40	variable	variable	NOUN
bae-8087	53	41	itself	itself	PRON
bae-8087	53	42	is	be	AUX
bae-8087	53	43	inappropriate	inappropriate	ADJ
bae-8087	53	44	(	(	PUNCT
bae-8087	53	45	chorus	chorus	NOUN
bae-8087	53	46	and	and	CCONJ
bae-8087	53	47	kroesen	kroesen	NOUN
bae-8087	53	48	,	,	PUNCT
bae-8087	53	49	2014	2014	NUM
bae-8087	53	50	;	;	PUNCT
bae-8087	53	51	kroesen	kroesen	PROPN
bae-8087	53	52	et	et	PROPN
bae-8087	53	53	al	al	PROPN
bae-8087	53	54	.	.	PROPN
bae-8087	53	55	,	,	PUNCT
bae-8087	53	56	2017	2017	NUM
bae-8087	53	57	;	;	PUNCT
bae-8087	53	58	kroesen	kroesen	NOUN
bae-8087	53	59	and	and	CCONJ
bae-8087	53	60	chorus	chorus	NOUN
bae-8087	53	61	,	,	PUNCT
bae-8087	53	62	2018	2018	NUM
bae-8087	53	63	)	)	PUNCT
bae-8087	53	64	,	,	PUNCT
bae-8087	53	65	these	these	DET
bae-8087	53	66	models	model	NOUN
bae-8087	53	67	can	can	AUX
bae-8087	53	68	provide	provide	VERB
bae-8087	53	69	rich	rich	ADJ
bae-8087	53	70	insight	insight	NOUN
bae-8087	53	71	into	into	ADP
bae-8087	53	72	behaviour	behaviour	NOUN
bae-8087	53	73	(	(	PUNCT
bae-8087	53	74	hess	hess	NOUN
bae-8087	53	75	,	,	PUNCT
bae-8087	53	76	2012	2012	NUM
bae-8087	53	77	)	)	PUNCT
bae-8087	53	78	,	,	PUNCT
bae-8087	53	79	help	help	VERB
bae-8087	53	80	de	de	ADJ
bae-8087	53	81	-	-	NOUN
bae-8087	53	82	bias	bias	NOUN
bae-8087	53	83	estimates	estimate	NOUN
bae-8087	53	84	(	(	PUNCT
bae-8087	53	85	vij	vij	PROPN
bae-8087	53	86	and	and	CCONJ
bae-8087	53	87	walker	walker	NOUN
bae-8087	53	88	,	,	PUNCT
bae-8087	53	89	2016	2016	NUM
bae-8087	53	90	)	)	PUNCT
bae-8087	53	91	,	,	PUNCT
bae-8087	53	92	offer	offer	VERB
bae-8087	53	93	improvements	improvement	NOUN
bae-8087	53	94	in	in	ADP
bae-8087	53	95	prediction	prediction	NOUN
bae-8087	53	96	in	in	ADP
bae-8087	53	97	certain	certain	ADJ
bae-8087	53	98	contexts	context	NOUN
bae-8087	53	99	(	(	PUNCT
bae-8087	53	100	vij	vij	PROPN
bae-8087	53	101	and	and	CCONJ
bae-8087	53	102	walker	walker	NOUN
bae-8087	53	103	,	,	PUNCT
bae-8087	53	104	2016	2016	NUM
bae-8087	53	105	)	)	PUNCT
bae-8087	53	106	and	and	CCONJ
bae-8087	53	107	reveal	reveal	VERB
bae-8087	53	108	additional	additional	ADJ
bae-8087	53	109	layers	layer	NOUN
bae-8087	53	110	of	of	ADP
bae-8087	53	111	heterogeneity	heterogeneity	NOUN
bae-8087	53	112	(	(	PUNCT
bae-8087	53	113	hess	hess	NOUN
bae-8087	53	114	,	,	PUNCT
bae-8087	53	115	2012	2012	NUM
bae-8087	53	116	;	;	PUNCT
bae-8087	53	117	mariel	mariel	PROPN
bae-8087	53	118	and	and	CCONJ
bae-8087	53	119	meyerhoff	meyerhoff	NOUN
bae-8087	53	120	,	,	PUNCT
bae-8087	53	121	2016	2016	NUM
bae-8087	53	122	;	;	PUNCT
bae-8087	53	123	taye	taye	NOUN
bae-8087	53	124	et	et	NOUN
bae-8087	53	125	al	al	PROPN
bae-8087	53	126	.	.	PROPN
bae-8087	53	127	,	,	PUNCT
bae-8087	53	128	2018	2018	NUM
bae-8087	53	129	)	)	PUNCT
bae-8087	53	130	.	.	PUNCT
bae-8087	54	1	however	however	ADV
bae-8087	54	2	,	,	PUNCT
bae-8087	54	3	we	we	PRON
bae-8087	54	4	show	show	VERB
bae-8087	54	5	that	that	SCONJ
bae-8087	54	6	retrieving	retrieve	VERB
bae-8087	54	7	the	the	DET
bae-8087	54	8	true	true	ADJ
bae-8087	54	9	parameters	parameter	NOUN
bae-8087	54	10	of	of	ADP
bae-8087	54	11	iclv	iclv	NOUN
bae-8087	54	12	models	model	NOUN
bae-8087	54	13	can	can	AUX
bae-8087	54	14	be	be	AUX
bae-8087	54	15	challenging	challenge	VERB
bae-8087	54	16	,	,	PUNCT
bae-8087	54	17	and	and	CCONJ
bae-8087	54	18	that	that	SCONJ
bae-8087	54	19	the	the	DET
bae-8087	54	20	benefits	benefit	NOUN
bae-8087	54	21	of	of	ADP
bae-8087	54	22	developing	develop	VERB
bae-8087	54	23	and	and	CCONJ
bae-8087	54	24	using	use	VERB
bae-8087	54	25	them	they	PRON
bae-8087	54	26	are	be	AUX
bae-8087	54	27	not	not	PART
bae-8087	54	28	always	always	ADV
bae-8087	54	29	clear	clear	ADV
bae-8087	54	30	-	-	PUNCT
bae-8087	54	31	cut	cut	VERB
bae-8087	54	32	.	.	PUNCT
bae-8087	55	1	this	this	DET
bae-8087	55	2	paper	paper	NOUN
bae-8087	55	3	is	be	AUX
bae-8087	55	4	a	a	DET
bae-8087	55	5	practical	practical	ADJ
bae-8087	55	6	illustration	illustration	NOUN
bae-8087	55	7	of	of	ADP
bae-8087	55	8	the	the	DET
bae-8087	55	9	points	point	NOUN
bae-8087	55	10	outlined	outline	VERB
bae-8087	55	11	above	above	ADV
bae-8087	55	12	,	,	PUNCT
bae-8087	55	13	and	and	CCONJ
bae-8087	55	14	can	can	AUX
bae-8087	55	15	work	work	VERB
bae-8087	55	16	as	as	ADP
bae-8087	55	17	a	a	DET
bae-8087	55	18	clarification	clarification	NOUN
bae-8087	55	19	for	for	ADP
bae-8087	55	20	practitioners	practitioner	NOUN
bae-8087	55	21	and	and	CCONJ
bae-8087	55	22	policy	policy	NOUN
bae-8087	55	23	makers	maker	NOUN
bae-8087	55	24	alike	alike	ADV
bae-8087	55	25	.	.	PUNCT
bae-8087	56	1	using	use	VERB
bae-8087	56	2	monte	monte	PROPN
bae-8087	56	3	carlo	carlo	PROPN
bae-8087	56	4	simulations	simulation	NOUN
bae-8087	56	5	,	,	PUNCT
bae-8087	56	6	we	we	PRON
bae-8087	56	7	show	show	VERB
bae-8087	56	8	the	the	DET
bae-8087	56	9	important	important	ADJ
bae-8087	56	10	role	role	NOUN
bae-8087	56	11	that	that	PRON
bae-8087	56	12	correlation	correlation	NOUN
bae-8087	56	13	between	between	ADP
bae-8087	56	14	the	the	DET
bae-8087	56	15	attributes	attribute	NOUN
bae-8087	56	16	,	,	PUNCT
bae-8087	56	17	indicators	indicator	NOUN
bae-8087	56	18	and	and	CCONJ
bae-8087	56	19	latent	latent	NOUN
bae-8087	56	20	variables	variable	NOUN
bae-8087	56	21	play	play	VERB
bae-8087	56	22	in	in	ADP
bae-8087	56	23	model	model	NOUN
bae-8087	56	24	selection	selection	NOUN
bae-8087	56	25	and	and	CCONJ
bae-8087	56	26	that	that	SCONJ
bae-8087	56	27	the	the	DET
bae-8087	56	28	econometricians	econometrician	NOUN
bae-8087	56	29	belief	belief	NOUN
bae-8087	56	30	about	about	ADP
bae-8087	56	31	the	the	DET
bae-8087	56	32	strength	strength	NOUN
bae-8087	56	33	of	of	ADP
bae-8087	56	34	this	this	DET
bae-8087	56	35	correlation	correlation	NOUN
bae-8087	56	36	is	be	AUX
bae-8087	56	37	the	the	DET
bae-8087	56	38	main	main	ADJ
bae-8087	56	39	thing	thing	NOUN
bae-8087	56	40	to	to	PART
bae-8087	56	41	consider	consider	VERB
bae-8087	56	42	when	when	SCONJ
bae-8087	56	43	trying	try	VERB
bae-8087	56	44	to	to	PART
bae-8087	56	45	decide	decide	VERB
bae-8087	56	46	whether	whether	SCONJ
bae-8087	56	47	an	an	DET
bae-8087	56	48	iclv	iclv	NOUN
bae-8087	56	49	model	model	NOUN
bae-8087	56	50	is	be	AUX
bae-8087	56	51	appropriate	appropriate	ADJ
bae-8087	56	52	.	.	PUNCT
bae-8087	57	1	furthermore	furthermore	ADV
bae-8087	57	2	,	,	PUNCT
bae-8087	57	3	we	we	PRON
bae-8087	57	4	show	show	VERB
bae-8087	57	5	that	that	SCONJ
bae-8087	57	6	the	the	DET
bae-8087	57	7	bias	bias	NOUN
bae-8087	57	8	of	of	ADP
bae-8087	57	9	not	not	PART
bae-8087	57	10	accounting	account	VERB
bae-8087	57	11	for	for	ADP
bae-8087	57	12	these	these	DET
bae-8087	57	13	correlations	correlation	NOUN
bae-8087	57	14	in	in	ADP
bae-8087	57	15	308	308	NUM
bae-8087	57	16	danny	danny	PROPN
bae-8087	57	17	campbell	campbell	PROPN
bae-8087	57	18	,	,	PUNCT
bae-8087	57	19	erlend	erlend	VERB
bae-8087	57	20	dancke	dancke	PROPN
bae-8087	57	21	sandorf	sandorf	PROPN
bae-8087	57	22	parameters	parameter	NOUN
bae-8087	57	23	and	and	CCONJ
bae-8087	57	24	mwtp	mwtp	NOUN
bae-8087	57	25	is	be	AUX
bae-8087	57	26	generally	generally	ADV
bae-8087	57	27	increasing	increase	VERB
bae-8087	57	28	with	with	ADP
bae-8087	57	29	the	the	DET
bae-8087	57	30	strength	strength	NOUN
bae-8087	57	31	of	of	ADP
bae-8087	57	32	the	the	DET
bae-8087	57	33	correlations	correlation	NOUN
bae-8087	57	34	.	.	PUNCT
bae-8087	58	1	the	the	DET
bae-8087	58	2	practical	practical	ADJ
bae-8087	58	3	implication	implication	NOUN
bae-8087	58	4	is	be	AUX
bae-8087	58	5	that	that	SCONJ
bae-8087	58	6	the	the	DET
bae-8087	58	7	strength	strength	NOUN
bae-8087	58	8	of	of	ADP
bae-8087	58	9	the	the	DET
bae-8087	58	10	endogeneity	endogeneity	NOUN
bae-8087	58	11	bias	bias	NOUN
bae-8087	58	12	from	from	ADP
bae-8087	58	13	including	include	VERB
bae-8087	58	14	the	the	DET
bae-8087	58	15	indicator	indicator	NOUN
bae-8087	58	16	directly	directly	ADV
bae-8087	58	17	in	in	ADP
bae-8087	58	18	the	the	DET
bae-8087	58	19	choice	choice	NOUN
bae-8087	58	20	model	model	NOUN
bae-8087	58	21	is	be	AUX
bae-8087	58	22	related	relate	VERB
bae-8087	58	23	to	to	ADP
bae-8087	58	24	the	the	DET
bae-8087	58	25	strength	strength	NOUN
bae-8087	58	26	of	of	ADP
bae-8087	58	27	the	the	DET
bae-8087	58	28	correlation	correlation	NOUN
bae-8087	58	29	between	between	ADP
bae-8087	58	30	the	the	DET
bae-8087	58	31	indicator	indicator	NOUN
bae-8087	58	32	and	and	CCONJ
bae-8087	58	33	the	the	DET
bae-8087	58	34	latent	latent	NOUN
bae-8087	58	35	variable	variable	NOUN
bae-8087	58	36	.	.	PUNCT
bae-8087	59	1	for	for	ADP
bae-8087	59	2	low	low	ADJ
bae-8087	59	3	degrees	degree	NOUN
bae-8087	59	4	of	of	ADP
bae-8087	59	5	correlation	correlation	NOUN
bae-8087	59	6	,	,	PUNCT
bae-8087	59	7	omitting	omit	VERB
bae-8087	59	8	the	the	DET
bae-8087	59	9	latent	latent	NOUN
bae-8087	59	10	variable	variable	NOUN
bae-8087	59	11	or	or	CCONJ
bae-8087	59	12	using	use	VERB
bae-8087	59	13	a	a	DET
bae-8087	59	14	reduced	reduce	VERB
bae-8087	59	15	form	form	NOUN
bae-8087	59	16	model	model	NOUN
bae-8087	59	17	does	do	AUX
bae-8087	59	18	not	not	PART
bae-8087	59	19	lead	lead	VERB
bae-8087	59	20	to	to	ADP
bae-8087	59	21	substantial	substantial	ADJ
bae-8087	59	22	bias	bias	NOUN
bae-8087	59	23	in	in	ADP
bae-8087	59	24	mwtp	mwtp	NOUN
bae-8087	59	25	,	,	PUNCT
bae-8087	59	26	but	but	CCONJ
bae-8087	59	27	for	for	ADP
bae-8087	59	28	high	high	ADJ
bae-8087	59	29	degrees	degree	NOUN
bae-8087	59	30	of	of	ADP
bae-8087	59	31	correlation	correlation	NOUN
bae-8087	59	32	between	between	ADP
bae-8087	59	33	the	the	DET
bae-8087	59	34	indicator	indicator	NOUN
bae-8087	59	35	and	and	CCONJ
bae-8087	59	36	the	the	DET
bae-8087	59	37	latent	latent	NOUN
bae-8087	59	38	variable	variable	NOUN
bae-8087	59	39	,	,	PUNCT
bae-8087	59	40	the	the	DET
bae-8087	59	41	bias	bias	NOUN
bae-8087	59	42	in	in	ADP
bae-8087	59	43	mwtp	mwtp	NOUN
bae-8087	59	44	is	be	AUX
bae-8087	59	45	less	less	ADJ
bae-8087	59	46	than	than	ADP
bae-8087	59	47	the	the	DET
bae-8087	59	48	model	model	NOUN
bae-8087	59	49	without	without	ADP
bae-8087	59	50	indicators	indicator	NOUN
bae-8087	59	51	or	or	CCONJ
bae-8087	59	52	latent	latent	NOUN
bae-8087	59	53	variables	variable	NOUN
bae-8087	59	54	.	.	PUNCT
bae-8087	60	1	as	as	ADP
bae-8087	60	2	such	such	ADJ
bae-8087	60	3	,	,	PUNCT
bae-8087	60	4	our	our	PRON
bae-8087	60	5	results	result	NOUN
bae-8087	60	6	can	can	AUX
bae-8087	60	7	be	be	AUX
bae-8087	60	8	viewed	view	VERB
bae-8087	60	9	as	as	ADP
bae-8087	60	10	an	an	DET
bae-8087	60	11	illustration	illustration	NOUN
bae-8087	60	12	of	of	ADP
bae-8087	60	13	vij	vij	PROPN
bae-8087	60	14	and	and	CCONJ
bae-8087	60	15	walker	walker	PROPN
bae-8087	60	16	(	(	PUNCT
bae-8087	60	17	2016	2016	NUM
bae-8087	60	18	)	)	PUNCT
bae-8087	60	19	and	and	CCONJ
bae-8087	60	20	kroesen	kroesen	NOUN
bae-8087	60	21	and	and	CCONJ
bae-8087	60	22	chorus	chorus	NOUN
bae-8087	60	23	(	(	PUNCT
bae-8087	60	24	2018	2018	NUM
bae-8087	60	25	)	)	PUNCT
bae-8087	60	26	.	.	PUNCT
bae-8087	61	1	the	the	DET
bae-8087	61	2	rest	rest	NOUN
bae-8087	61	3	of	of	ADP
bae-8087	61	4	the	the	DET
bae-8087	61	5	paper	paper	NOUN
bae-8087	61	6	is	be	AUX
bae-8087	61	7	outlined	outline	VERB
bae-8087	61	8	as	as	SCONJ
bae-8087	61	9	follows	follow	VERB
bae-8087	61	10	:	:	PUNCT
bae-8087	61	11	section	section	NOUN
bae-8087	61	12	2	2	NUM
bae-8087	61	13	outlines	outline	VERB
bae-8087	61	14	our	our	PRON
bae-8087	61	15	econometric	econometric	ADJ
bae-8087	61	16	approach	approach	NOUN
bae-8087	61	17	,	,	PUNCT
bae-8087	61	18	section	section	NOUN
bae-8087	61	19	3	3	NUM
bae-8087	61	20	details	detail	NOUN
bae-8087	61	21	the	the	DET
bae-8087	61	22	monte	monte	PROPN
bae-8087	61	23	-	-	PUNCT
bae-8087	61	24	carlo	carlo	PROPN
bae-8087	61	25	data	data	NOUN
bae-8087	61	26	generation	generation	NOUN
bae-8087	61	27	processes	process	NOUN
bae-8087	61	28	,	,	PUNCT
bae-8087	61	29	section	section	NOUN
bae-8087	61	30	4	4	NUM
bae-8087	61	31	presents	present	VERB
bae-8087	61	32	the	the	DET
bae-8087	61	33	results	result	NOUN
bae-8087	61	34	from	from	ADP
bae-8087	61	35	the	the	DET
bae-8087	61	36	simulation	simulation	NOUN
bae-8087	61	37	study	study	NOUN
bae-8087	61	38	,	,	PUNCT
bae-8087	61	39	and	and	CCONJ
bae-8087	61	40	section	section	NOUN
bae-8087	61	41	5	5	NUM
bae-8087	61	42	discusses	discuss	VERB
bae-8087	61	43	the	the	DET
bae-8087	61	44	implications	implication	NOUN
bae-8087	61	45	of	of	ADP
bae-8087	61	46	our	our	PRON
bae-8087	61	47	results	result	NOUN
bae-8087	61	48	for	for	ADP
bae-8087	61	49	the	the	DET
bae-8087	61	50	use	use	NOUN
bae-8087	61	51	of	of	ADP
bae-8087	61	52	iclv	iclv	ADJ
bae-8087	61	53	models	model	NOUN
bae-8087	61	54	for	for	ADP
bae-8087	61	55	policy	policy	NOUN
bae-8087	61	56	and	and	CCONJ
bae-8087	61	57	concludes	conclude	VERB
bae-8087	61	58	the	the	DET
bae-8087	61	59	paper	paper	NOUN
bae-8087	61	60	.	.	PUNCT
bae-8087	62	1	2	2	X
bae-8087	62	2	.	.	NUM
bae-8087	62	3	econometric	econometric	ADJ
bae-8087	62	4	approach	approach	NOUN
bae-8087	62	5	to	to	PART
bae-8087	62	6	illustrate	illustrate	VERB
bae-8087	62	7	our	our	PRON
bae-8087	62	8	point	point	NOUN
bae-8087	62	9	and	and	CCONJ
bae-8087	62	10	substantiate	substantiate	VERB
bae-8087	62	11	our	our	PRON
bae-8087	62	12	conclusions	conclusion	NOUN
bae-8087	62	13	,	,	PUNCT
bae-8087	62	14	we	we	PRON
bae-8087	62	15	use	use	VERB
bae-8087	62	16	a	a	DET
bae-8087	62	17	straightforward	straightforward	ADJ
bae-8087	62	18	stated	state	VERB
bae-8087	62	19	choice	choice	NOUN
bae-8087	62	20	data	datum	NOUN
bae-8087	62	21	setup	setup	NOUN
bae-8087	62	22	.	.	PUNCT
bae-8087	63	1	we	we	PRON
bae-8087	63	2	generate	generate	VERB
bae-8087	63	3	synthetic	synthetic	ADJ
bae-8087	63	4	datasets	dataset	NOUN
bae-8087	63	5	and	and	CCONJ
bae-8087	63	6	show	show	VERB
bae-8087	63	7	through	through	ADP
bae-8087	63	8	monte	monte	PROPN
bae-8087	63	9	-	-	PUNCT
bae-8087	63	10	carlo	carlo	PROPN
bae-8087	63	11	simulation	simulation	NOUN
bae-8087	63	12	how	how	SCONJ
bae-8087	63	13	misspecification	misspecification	NOUN
bae-8087	63	14	of	of	ADP
bae-8087	63	15	the	the	DET
bae-8087	63	16	model	model	NOUN
bae-8087	63	17	can	can	AUX
bae-8087	63	18	lead	lead	VERB
bae-8087	63	19	to	to	PART
bae-8087	63	20	bias	bias	VERB
bae-8087	63	21	and	and	CCONJ
bae-8087	63	22	under	under	ADP
bae-8087	63	23	which	which	DET
bae-8087	63	24	circumstances	circumstance	NOUN
bae-8087	63	25	this	this	PRON
bae-8087	63	26	may	may	AUX
bae-8087	63	27	not	not	PART
bae-8087	63	28	be	be	AUX
bae-8087	63	29	the	the	DET
bae-8087	63	30	case	case	NOUN
bae-8087	63	31	.	.	PUNCT
bae-8087	64	1	in	in	ADP
bae-8087	64	2	the	the	DET
bae-8087	64	3	following	following	NOUN
bae-8087	64	4	,	,	PUNCT
bae-8087	64	5	we	we	PRON
bae-8087	64	6	assume	assume	VERB
bae-8087	64	7	that	that	SCONJ
bae-8087	64	8	the	the	DET
bae-8087	64	9	reader	reader	NOUN
bae-8087	64	10	is	be	AUX
bae-8087	64	11	somewhat	somewhat	ADV
bae-8087	64	12	familiar	familiar	ADJ
bae-8087	64	13	with	with	ADP
bae-8087	64	14	discrete	discrete	ADJ
bae-8087	64	15	choice	choice	NOUN
bae-8087	64	16	modelling	modelling	NOUN
bae-8087	64	17	.	.	PUNCT
bae-8087	65	1	to	to	PART
bae-8087	65	2	introduce	introduce	VERB
bae-8087	65	3	notation	notation	NOUN
bae-8087	65	4	,	,	PUNCT
bae-8087	65	5	and	and	CCONJ
bae-8087	65	6	to	to	PART
bae-8087	65	7	save	save	VERB
bae-8087	65	8	space	space	NOUN
bae-8087	65	9	,	,	PUNCT
bae-8087	65	10	we	we	PRON
bae-8087	65	11	start	start	VERB
bae-8087	65	12	with	with	ADP
bae-8087	65	13	a	a	DET
bae-8087	65	14	standard	standard	ADJ
bae-8087	65	15	random	random	ADJ
bae-8087	65	16	parameters	parameter	NOUN
bae-8087	65	17	mixed	mixed	ADJ
bae-8087	65	18	logit	logit	NOUN
bae-8087	65	19	model	model	NOUN
bae-8087	65	20	where	where	SCONJ
bae-8087	65	21	the	the	DET
bae-8087	65	22	probability	probability	NOUN
bae-8087	65	23	of	of	ADP
bae-8087	65	24	observing	observe	VERB
bae-8087	65	25	the	the	DET
bae-8087	65	26	sequence	sequence	NOUN
bae-8087	65	27	of	of	ADP
bae-8087	65	28	tn	tn	NOUN
bae-8087	65	29	choices	choice	NOUN
bae-8087	65	30	yn	yn	PRON
bae-8087	65	31	made	make	VERB
bae-8087	65	32	by	by	ADP
bae-8087	65	33	individual	individual	ADJ
bae-8087	65	34	n	n	X
bae-8087	65	35	is	be	AUX
bae-8087	65	36	a	a	DET
bae-8087	65	37	k	k	ADJ
bae-8087	65	38	dimensional	dimensional	ADJ
bae-8087	65	39	integral	integral	ADJ
bae-8087	65	40	of	of	ADP
bae-8087	65	41	the	the	DET
bae-8087	65	42	logit	logit	NOUN
bae-8087	65	43	formula	formula	NOUN
bae-8087	65	44	over	over	ADP
bae-8087	65	45	all	all	DET
bae-8087	65	46	possible	possible	ADJ
bae-8087	65	47	values	value	NOUN
bae-8087	65	48	of	of	ADP
bae-8087	65	49	:	:	PUNCT
bae-8087	65	50	2	2	NUM
bae-8087	65	51	(	(	PUNCT
bae-8087	65	52	1	1	NUM
bae-8087	65	53	)	)	PUNCT
bae-8087	65	54	where	where	SCONJ
bae-8087	65	55	xnjt	xnjt	PROPN
bae-8087	65	56	is	be	AUX
bae-8087	65	57	a	a	DET
bae-8087	65	58	column	column	NOUN
bae-8087	65	59	vector	vector	NOUN
bae-8087	65	60	of	of	ADP
bae-8087	65	61	attribute	attribute	NOUN
bae-8087	65	62	levels	level	NOUN
bae-8087	65	63	and	and	CCONJ
bae-8087	65	64	the	the	DET
bae-8087	65	65	joint	joint	ADJ
bae-8087	65	66	density	density	NOUN
bae-8087	65	67	of	of	ADP
bae-8087	65	68	the	the	DET
bae-8087	65	69	row	row	NOUN
bae-8087	65	70	vector	vector	NOUN
bae-8087	65	71	of	of	ADP
bae-8087	65	72	marginal	marginal	ADJ
bae-8087	65	73	utilities	utility	NOUN
bae-8087	65	74	is	be	AUX
bae-8087	65	75	given	give	VERB
bae-8087	65	76	by	by	ADP
bae-8087	65	77	f	f	PROPN
bae-8087	65	78	(	(	PUNCT
bae-8087	65	79	|	|	ADV
bae-8087	65	80	.	.	PUNCT
bae-8087	65	81	)	)	PUNCT
bae-8087	65	82	.	.	PUNCT
bae-8087	66	1	a	a	DET
bae-8087	66	2	key	key	ADJ
bae-8087	66	3	consideration	consideration	NOUN
bae-8087	66	4	when	when	SCONJ
bae-8087	66	5	specifying	specify	VERB
bae-8087	66	6	random	random	ADJ
bae-8087	66	7	parameters	parameter	NOUN
bae-8087	66	8	is	be	AUX
bae-8087	66	9	the	the	DET
bae-8087	66	10	assumption	assumption	NOUN
bae-8087	66	11	regarding	regard	VERB
bae-8087	66	12	their	their	PRON
bae-8087	66	13	distribution	distribution	NOUN
bae-8087	66	14	.	.	PUNCT
bae-8087	67	1	in	in	ADP
bae-8087	67	2	this	this	DET
bae-8087	67	3	paper	paper	NOUN
bae-8087	67	4	,	,	PUNCT
bae-8087	67	5	we	we	PRON
bae-8087	67	6	express	express	VERB
bae-8087	67	7	the	the	DET
bae-8087	67	8	individual	individual	ADJ
bae-8087	67	9	marginal	marginal	ADJ
bae-8087	67	10	utility	utility	NOUN
bae-8087	67	11	parameter	parameter	NOUN
bae-8087	67	12	for	for	ADP
bae-8087	67	13	attribute	attribute	NOUN
bae-8087	67	14	k	k	PROPN
bae-8087	67	15	,	,	PUNCT
bae-8087	67	16	,	,	PUNCT
bae-8087	67	17	as	as	SCONJ
bae-8087	67	18	follows	follow	VERB
bae-8087	67	19	:	:	PUNCT
bae-8087	67	20	(	(	PUNCT
bae-8087	67	21	2	2	X
bae-8087	67	22	)	)	PUNCT
bae-8087	67	23	where	where	SCONJ
bae-8087	67	24	is	be	AUX
bae-8087	67	25	the	the	DET
bae-8087	67	26	mean	mean	NOUN
bae-8087	67	27	of	of	ADP
bae-8087	67	28	the	the	DET
bae-8087	67	29	distribution	distribution	NOUN
bae-8087	67	30	for	for	ADP
bae-8087	67	31	attribute	attribute	NOUN
bae-8087	67	32	k	k	PROPN
bae-8087	67	33	,	,	PUNCT
bae-8087	67	34	zn	zn	PROPN
bae-8087	67	35	is	be	AUX
bae-8087	67	36	a	a	DET
bae-8087	67	37	column	column	NOUN
bae-8087	67	38	vector	vector	NOUN
bae-8087	67	39	of	of	ADP
bae-8087	67	40	regressors	regressor	NOUN
bae-8087	67	41	relating	relate	VERB
bae-8087	67	42	to	to	ADP
bae-8087	67	43	individual	individual	ADJ
bae-8087	67	44	-	-	PUNCT
bae-8087	67	45	specific	specific	ADJ
bae-8087	67	46	characteristics	characteristic	NOUN
bae-8087	67	47	,	,	PUNCT
bae-8087	67	48	e.g.	e.g.	ADV
bae-8087	67	49	 	 	SPACE
bae-8087	67	50	age	age	NOUN
bae-8087	67	51	,	,	PUNCT
bae-8087	67	52	gender	gender	NOUN
bae-8087	67	53	,	,	PUNCT
bae-8087	67	54	attitudinal	attitudinal	ADJ
bae-8087	67	55	responses	response	NOUN
bae-8087	67	56	or	or	CCONJ
bae-8087	67	57	latent	latent	NOUN
bae-8087	67	58	variables	variable	NOUN
bae-8087	67	59	,	,	PUNCT
bae-8087	67	60	is	be	AUX
bae-8087	67	61	a	a	DET
bae-8087	67	62	conformable	conformable	ADJ
bae-8087	67	63	row	row	NOUN
bae-8087	67	64	vector	vector	NOUN
bae-8087	67	65	of	of	ADP
bae-8087	67	66	estimated	estimate	VERB
bae-8087	67	67	mean	mean	ADJ
bae-8087	67	68	shifter	shifter	NOUN
bae-8087	67	69	parameters	parameter	NOUN
bae-8087	67	70	and	and	CCONJ
bae-8087	67	71	εnk	εnk	NOUN
bae-8087	67	72	is	be	AUX
bae-8087	67	73	a	a	DET
bae-8087	67	74	deviate	deviate	NOUN
bae-8087	67	75	from	from	ADP
bae-8087	67	76	a	a	DET
bae-8087	67	77	multivariate	multivariate	NOUN
bae-8087	67	78	normal	normal	ADJ
bae-8087	67	79	distribution	distribution	NOUN
bae-8087	67	80	with	with	ADP
bae-8087	67	81	zero	zero	NUM
bae-8087	67	82	mean	mean	NOUN
bae-8087	67	83	and	and	CCONJ
bae-8087	67	84	covariance	covariance	NOUN
bae-8087	67	85	.	.	PUNCT
bae-8087	68	1	introducing	introduce	VERB
bae-8087	68	2	individual	individual	ADJ
bae-8087	68	3	specific	specific	ADJ
bae-8087	68	4	characteristics	characteristic	NOUN
bae-8087	68	5	,	,	PUNCT
bae-8087	68	6	e.g.	e.g.	ADV
bae-8087	68	7	  	  	SPACE
bae-8087	68	8	responses	response	NOUN
bae-8087	68	9	to	to	ADP
bae-8087	68	10	an	an	DET
bae-8087	68	11	attitudinal	attitudinal	ADJ
bae-8087	68	12	question	question	NOUN
bae-8087	68	13	,	,	PUNCT
bae-8087	68	14	allows	allow	VERB
bae-8087	68	15	us	we	PRON
bae-8087	68	16	to	to	PART
bae-8087	68	17	assess	assess	VERB
bae-8087	68	18	and	and	CCONJ
bae-8087	68	19	interpret	interpret	VERB
bae-8087	68	20	the	the	DET
bae-8087	68	21	marginal	marginal	ADJ
bae-8087	68	22	effect	effect	NOUN
bae-8087	68	23	of	of	ADP
bae-8087	68	24	the	the	DET
bae-8087	68	25	attitudinal	attitudinal	ADJ
bae-8087	68	26	response	response	NOUN
bae-8087	68	27	on	on	ADP
bae-8087	68	28	margin2	margin2	PROPN
bae-8087	68	29	the	the	DET
bae-8087	68	30	iclv	iclv	PROPN
bae-8087	68	31	model	model	NOUN
bae-8087	68	32	can	can	AUX
bae-8087	68	33	be	be	AUX
bae-8087	68	34	specified	specify	VERB
bae-8087	68	35	with	with	ADP
bae-8087	68	36	other	other	ADJ
bae-8087	68	37	choice	choice	NOUN
bae-8087	68	38	kernels	kernel	NOUN
bae-8087	68	39	as	as	ADV
bae-8087	68	40	well	well	ADV
bae-8087	68	41	,	,	PUNCT
bae-8087	68	42	e.g.	e.g.	ADV
bae-8087	68	43	multinomial	multinomial	ADJ
bae-8087	68	44	logit	logit	NOUN
bae-8087	68	45	or	or	CCONJ
bae-8087	68	46	latent	latent	NOUN
bae-8087	68	47	class	class	NOUN
bae-8087	68	48	,	,	PUNCT
bae-8087	68	49	but	but	CCONJ
bae-8087	68	50	throughout	throughout	ADP
bae-8087	68	51	this	this	DET
bae-8087	68	52	paper	paper	NOUN
bae-8087	68	53	,	,	PUNCT
bae-8087	68	54	whenever	whenever	SCONJ
bae-8087	68	55	we	we	PRON
bae-8087	68	56	refer	refer	VERB
bae-8087	68	57	to	to	ADP
bae-8087	68	58	the	the	DET
bae-8087	68	59	iclv	iclv	PROPN
bae-8087	68	60	model	model	NOUN
bae-8087	68	61	it	it	PRON
bae-8087	68	62	is	be	AUX
bae-8087	68	63	one	one	NUM
bae-8087	68	64	specified	specify	VERB
bae-8087	68	65	with	with	ADP
bae-8087	68	66	a	a	DET
bae-8087	68	67	random	random	ADJ
bae-8087	68	68	parameters	parameter	NOUN
bae-8087	68	69	mixed	mixed	ADJ
bae-8087	68	70	logit	logit	PROPN
bae-8087	68	71	kernel	kernel	PROPN
bae-8087	68	72	.	.	PUNCT
bae-8087	69	1	309the	309the	DET
bae-8087	69	2	use	use	NOUN
bae-8087	69	3	of	of	ADP
bae-8087	69	4	latent	latent	ADJ
bae-8087	69	5	variable	variable	ADJ
bae-8087	69	6	models	model	NOUN
bae-8087	69	7	in	in	ADP
bae-8087	69	8	policy	policy	NOUN
bae-8087	69	9	:	:	PUNCT
bae-8087	69	10	a	a	DET
bae-8087	69	11	road	road	NOUN
bae-8087	69	12	fraught	fraught	ADJ
bae-8087	69	13	with	with	ADP
bae-8087	69	14	peril	peril	NOUN
bae-8087	69	15	?	?	PUNCT
bae-8087	70	1	al	al	PROPN
bae-8087	70	2	utility	utility	NOUN
bae-8087	70	3	in	in	ADP
bae-8087	70	4	the	the	DET
bae-8087	70	5	same	same	ADJ
bae-8087	70	6	way	way	NOUN
bae-8087	70	7	as	as	SCONJ
bae-8087	70	8	we	we	PRON
bae-8087	70	9	would	would	AUX
bae-8087	70	10	for	for	ADP
bae-8087	70	11	age	age	NOUN
bae-8087	70	12	,	,	PUNCT
bae-8087	70	13	gender	gender	NOUN
bae-8087	70	14	or	or	CCONJ
bae-8087	70	15	income	income	NOUN
bae-8087	70	16	.	.	PUNCT
bae-8087	71	1	however	however	ADV
bae-8087	71	2	,	,	PUNCT
bae-8087	71	3	as	as	SCONJ
bae-8087	71	4	discussed	discuss	VERB
bae-8087	71	5	above	above	ADV
bae-8087	71	6	,	,	PUNCT
bae-8087	71	7	by	by	ADP
bae-8087	71	8	including	include	VERB
bae-8087	71	9	attitudinal	attitudinal	ADJ
bae-8087	71	10	measures	measure	NOUN
bae-8087	71	11	directly	directly	ADV
bae-8087	71	12	in	in	ADP
bae-8087	71	13	the	the	DET
bae-8087	71	14	model	model	NOUN
bae-8087	71	15	,	,	PUNCT
bae-8087	71	16	we	we	PRON
bae-8087	71	17	assume	assume	VERB
bae-8087	71	18	that	that	SCONJ
bae-8087	71	19	responses	response	NOUN
bae-8087	71	20	to	to	ADP
bae-8087	71	21	these	these	DET
bae-8087	71	22	attitudinal	attitudinal	ADJ
bae-8087	71	23	questions	question	NOUN
bae-8087	71	24	are	be	AUX
bae-8087	71	25	direct	direct	ADJ
bae-8087	71	26	measures	measure	NOUN
bae-8087	71	27	of	of	ADP
bae-8087	71	28	attitudes	attitude	NOUN
bae-8087	71	29	,	,	PUNCT
bae-8087	71	30	e.g.	e.g.	ADV
bae-8087	71	31	 	 	SPACE
bae-8087	71	32	pro	pro	ADJ
bae-8087	71	33	-	-	ADJ
bae-8087	71	34	environmental	environmental	ADJ
bae-8087	71	35	attitudes	attitude	NOUN
bae-8087	71	36	,	,	PUNCT
bae-8087	71	37	and	and	CCONJ
bae-8087	71	38	that	that	SCONJ
bae-8087	71	39	they	they	PRON
bae-8087	71	40	are	be	AUX
bae-8087	71	41	exogenous	exogenous	ADJ
bae-8087	71	42	,	,	PUNCT
bae-8087	71	43	i.e.	i.e.	X
bae-8087	71	44	  	  	SPACE
bae-8087	71	45	that	that	SCONJ
bae-8087	71	46	the	the	DET
bae-8087	71	47	responses	response	NOUN
bae-8087	71	48	are	be	AUX
bae-8087	71	49	uncorrelated	uncorrelate	VERB
bae-8087	71	50	with	with	ADP
bae-8087	71	51	the	the	DET
bae-8087	71	52	error	error	NOUN
bae-8087	71	53	terms	term	NOUN
bae-8087	71	54	.	.	PUNCT
bae-8087	72	1	if	if	SCONJ
bae-8087	72	2	either	either	DET
bae-8087	72	3	assumption	assumption	NOUN
bae-8087	72	4	is	be	AUX
bae-8087	72	5	violated	violate	VERB
bae-8087	72	6	,	,	PUNCT
bae-8087	72	7	our	our	PRON
bae-8087	72	8	model	model	NOUN
bae-8087	72	9	is	be	AUX
bae-8087	72	10	misspecified	misspecifie	VERB
bae-8087	72	11	and	and	CCONJ
bae-8087	72	12	our	our	PRON
bae-8087	72	13	parameters	parameter	NOUN
bae-8087	72	14	may	may	AUX
bae-8087	72	15	be	be	AUX
bae-8087	72	16	biased	bias	VERB
bae-8087	72	17	.	.	PUNCT
bae-8087	73	1	to	to	PART
bae-8087	73	2	avoid	avoid	VERB
bae-8087	73	3	some	some	PRON
bae-8087	73	4	of	of	ADP
bae-8087	73	5	the	the	DET
bae-8087	73	6	issues	issue	NOUN
bae-8087	73	7	associated	associate	VERB
bae-8087	73	8	with	with	ADP
bae-8087	73	9	measurement	measurement	NOUN
bae-8087	73	10	error	error	NOUN
bae-8087	73	11	and	and	CCONJ
bae-8087	73	12	endogeneity	endogeneity	NOUN
bae-8087	73	13	bias	bias	NOUN
bae-8087	73	14	,	,	PUNCT
bae-8087	73	15	we	we	PRON
bae-8087	73	16	can	can	AUX
bae-8087	73	17	,	,	PUNCT
bae-8087	73	18	for	for	ADP
bae-8087	73	19	example	example	NOUN
bae-8087	73	20	,	,	PUNCT
bae-8087	73	21	use	use	VERB
bae-8087	73	22	a	a	DET
bae-8087	73	23	hybrid	hybrid	ADJ
bae-8087	73	24	choice	choice	NOUN
bae-8087	73	25	model	model	NOUN
bae-8087	73	26	.	.	PUNCT
bae-8087	74	1	in	in	ADP
bae-8087	74	2	this	this	DET
bae-8087	74	3	model	model	NOUN
bae-8087	74	4	,	,	PUNCT
bae-8087	74	5	we	we	PRON
bae-8087	74	6	assume	assume	VERB
bae-8087	74	7	that	that	SCONJ
bae-8087	74	8	the	the	DET
bae-8087	74	9	responses	response	NOUN
bae-8087	74	10	to	to	ADP
bae-8087	74	11	the	the	DET
bae-8087	74	12	attitudinal	attitudinal	ADJ
bae-8087	74	13	questions	question	NOUN
bae-8087	74	14	are	be	AUX
bae-8087	74	15	mapped	map	VERB
bae-8087	74	16	to	to	ADP
bae-8087	74	17	a	a	DET
bae-8087	74	18	latent	latent	ADJ
bae-8087	74	19	variable	variable	NOUN
bae-8087	74	20	that	that	PRON
bae-8087	74	21	is	be	AUX
bae-8087	74	22	included	include	VERB
bae-8087	74	23	directly	directly	ADV
bae-8087	74	24	in	in	ADP
bae-8087	74	25	the	the	DET
bae-8087	74	26	marginal	marginal	ADJ
bae-8087	74	27	utility	utility	NOUN
bae-8087	74	28	expression	expression	NOUN
bae-8087	74	29	just	just	ADV
bae-8087	74	30	like	like	SCONJ
bae-8087	74	31	we	we	PRON
bae-8087	74	32	would	would	AUX
bae-8087	74	33	for	for	ADP
bae-8087	74	34	any	any	DET
bae-8087	74	35	other	other	ADJ
bae-8087	74	36	individual	individual	ADJ
bae-8087	74	37	characteristic	characteristic	NOUN
bae-8087	74	38	.	.	PUNCT
bae-8087	75	1	in	in	ADP
bae-8087	75	2	our	our	PRON
bae-8087	75	3	case	case	NOUN
bae-8087	75	4	,	,	PUNCT
bae-8087	75	5	the	the	DET
bae-8087	75	6	latent	latent	NOUN
bae-8087	75	7	variable	variable	NOUN
bae-8087	75	8	is	be	AUX
bae-8087	75	9	given	give	VERB
bae-8087	75	10	by	by	ADP
bae-8087	75	11	the	the	DET
bae-8087	75	12	following	follow	VERB
bae-8087	75	13	structural	structural	ADJ
bae-8087	75	14	equation	equation	NOUN
bae-8087	75	15	:	:	PUNCT
bae-8087	75	16	(	(	PUNCT
bae-8087	75	17	3	3	X
bae-8087	75	18	)	)	PUNCT
bae-8087	75	19	where	where	SCONJ
bae-8087	75	20	is	be	AUX
bae-8087	75	21	a	a	DET
bae-8087	75	22	normally	normally	ADV
bae-8087	75	23	distributed	distribute	VERB
bae-8087	75	24	random	random	ADJ
bae-8087	75	25	disturbance	disturbance	NOUN
bae-8087	75	26	with	with	ADP
bae-8087	75	27	zero	zero	NUM
bae-8087	75	28	mean	mean	NOUN
bae-8087	75	29	and	and	CCONJ
bae-8087	75	30	standard	standard	ADJ
bae-8087	75	31	deviation	deviation	NOUN
bae-8087	75	32	to	to	PART
bae-8087	75	33	be	be	AUX
bae-8087	75	34	estimated	estimate	VERB
bae-8087	75	35	.	.	PUNCT
bae-8087	76	1	responses	response	NOUN
bae-8087	76	2	to	to	ADP
bae-8087	76	3	our	our	PRON
bae-8087	76	4	pro	pro	ADJ
bae-8087	76	5	-	-	ADJ
bae-8087	76	6	environmental	environmental	ADJ
bae-8087	76	7	behaviour	behaviour	NOUN
bae-8087	76	8	question	question	NOUN
bae-8087	76	9	are	be	AUX
bae-8087	76	10	given	give	VERB
bae-8087	76	11	on	on	ADP
bae-8087	76	12	a	a	DET
bae-8087	76	13	three	three	NUM
bae-8087	76	14	-	-	PUNCT
bae-8087	76	15	point	point	NOUN
bae-8087	76	16	likert	likert	ADJ
bae-8087	76	17	scale	scale	NOUN
bae-8087	76	18	,	,	PUNCT
bae-8087	76	19	as	as	SCONJ
bae-8087	76	20	explained	explain	VERB
bae-8087	76	21	below	below	ADV
bae-8087	76	22	.	.	PUNCT
bae-8087	77	1	since	since	SCONJ
bae-8087	77	2	the	the	DET
bae-8087	77	3	response	response	NOUN
bae-8087	77	4	is	be	AUX
bae-8087	77	5	on	on	ADP
bae-8087	77	6	an	an	DET
bae-8087	77	7	ordered	order	VERB
bae-8087	77	8	scale	scale	NOUN
bae-8087	77	9	,	,	PUNCT
bae-8087	77	10	we	we	PRON
bae-8087	77	11	need	need	VERB
bae-8087	77	12	to	to	PART
bae-8087	77	13	use	use	VERB
bae-8087	77	14	an	an	DET
bae-8087	77	15	ordered	order	VERB
bae-8087	77	16	model	model	NOUN
bae-8087	77	17	for	for	ADP
bae-8087	77	18	the	the	DET
bae-8087	77	19	measurement	measurement	NOUN
bae-8087	77	20	equations	equation	NOUN
bae-8087	77	21	(	(	PUNCT
bae-8087	77	22	daly	daly	PROPN
bae-8087	77	23	et	et	PROPN
bae-8087	77	24	al	al	PROPN
bae-8087	77	25	.	.	PROPN
bae-8087	77	26	,	,	PUNCT
bae-8087	77	27	2012	2012	NUM
bae-8087	77	28	)	)	PUNCT
bae-8087	77	29	.	.	PUNCT
bae-8087	78	1	let	let	VERB
bae-8087	78	2	us	we	PRON
bae-8087	78	3	create	create	VERB
bae-8087	78	4	an	an	DET
bae-8087	78	5	underlying	underlie	VERB
bae-8087	78	6	continuous	continuous	ADJ
bae-8087	78	7	variable	variable	NOUN
bae-8087	78	8	,	,	PUNCT
bae-8087	78	9	i	i	PRON
bae-8087	78	10	*	*	NOUN
bae-8087	78	11	,	,	PUNCT
bae-8087	78	12	that	that	PRON
bae-8087	78	13	determines	determine	VERB
bae-8087	78	14	the	the	DET
bae-8087	78	15	observed	observed	ADJ
bae-8087	78	16	response	response	NOUN
bae-8087	78	17	to	to	ADP
bae-8087	78	18	the	the	DET
bae-8087	78	19	indicator	indicator	NOUN
bae-8087	78	20	question	question	NOUN
bae-8087	78	21	.	.	PUNCT
bae-8087	79	1	for	for	ADP
bae-8087	79	2	individual	individual	ADJ
bae-8087	79	3	n	n	CCONJ
bae-8087	79	4	,	,	PUNCT
bae-8087	79	5	we	we	PRON
bae-8087	79	6	assume	assume	VERB
bae-8087	79	7	the	the	DET
bae-8087	79	8	following	follow	VERB
bae-8087	79	9	relationship	relationship	NOUN
bae-8087	79	10	with	with	ADP
bae-8087	79	11	the	the	DET
bae-8087	79	12	latent	latent	NOUN
bae-8087	79	13	variable	variable	NOUN
bae-8087	79	14	:	:	PUNCT
bae-8087	79	15	(	(	PUNCT
bae-8087	79	16	4	4	X
bae-8087	79	17	)	)	PUNCT
bae-8087	79	18	where	where	SCONJ
bae-8087	79	19	is	be	AUX
bae-8087	79	20	a	a	DET
bae-8087	79	21	constant	constant	ADJ
bae-8087	79	22	to	to	PART
bae-8087	79	23	estimate	estimate	VERB
bae-8087	79	24	,	,	PUNCT
bae-8087	79	25	represents	represent	VERB
bae-8087	79	26	the	the	DET
bae-8087	79	27	variation	variation	NOUN
bae-8087	79	28	of	of	ADP
bae-8087	79	29	the	the	DET
bae-8087	79	30	underlying	underlie	VERB
bae-8087	79	31	continuous	continuous	ADJ
bae-8087	79	32	variable	variable	NOUN
bae-8087	79	33	for	for	ADP
bae-8087	79	34	a	a	DET
bae-8087	79	35	unitary	unitary	ADJ
bae-8087	79	36	variation	variation	NOUN
bae-8087	79	37	in	in	ADP
bae-8087	79	38	the	the	DET
bae-8087	79	39	latent	latent	NOUN
bae-8087	79	40	variable	variable	NOUN
bae-8087	79	41	and	and	CCONJ
bae-8087	79	42	εn	εn	ADJ
bae-8087	79	43	is	be	AUX
bae-8087	79	44	an	an	DET
bae-8087	79	45	idiosyncratic	idiosyncratic	ADJ
bae-8087	79	46	random	random	ADJ
bae-8087	79	47	disturbance	disturbance	NOUN
bae-8087	79	48	term	term	NOUN
bae-8087	79	49	assumed	assume	VERB
bae-8087	79	50	to	to	PART
bae-8087	79	51	be	be	AUX
bae-8087	79	52	a	a	DET
bae-8087	79	53	deviate	deviate	NOUN
bae-8087	79	54	from	from	ADP
bae-8087	79	55	an	an	DET
bae-8087	79	56	identically	identically	ADV
bae-8087	79	57	and	and	CCONJ
bae-8087	79	58	independently	independently	ADV
bae-8087	79	59	standard	standard	ADJ
bae-8087	79	60	logistic	logistic	ADJ
bae-8087	79	61	distribution	distribution	NOUN
bae-8087	79	62	.	.	PUNCT
bae-8087	80	1	now	now	ADV
bae-8087	80	2	,	,	PUNCT
bae-8087	80	3	we	we	PRON
bae-8087	80	4	can	can	AUX
bae-8087	80	5	map	map	VERB
bae-8087	80	6	the	the	DET
bae-8087	80	7	value	value	NOUN
bae-8087	80	8	of	of	ADP
bae-8087	80	9	to	to	ADP
bae-8087	80	10	the	the	DET
bae-8087	80	11	observed	observed	ADJ
bae-8087	80	12	cardinal	cardinal	ADJ
bae-8087	80	13	response	response	NOUN
bae-8087	80	14	to	to	ADP
bae-8087	80	15	the	the	DET
bae-8087	80	16	three	three	NUM
bae-8087	80	17	-	-	PUNCT
bae-8087	80	18	point	point	NOUN
bae-8087	80	19	indicator	indicator	NOUN
bae-8087	80	20	question	question	NOUN
bae-8087	80	21	.	.	PUNCT
bae-8087	81	1	specifically	specifically	ADV
bae-8087	81	2	,	,	PUNCT
bae-8087	81	3	with	with	ADP
bae-8087	81	4	l	l	NOUN
bae-8087	81	5	denoting	denote	VERB
bae-8087	81	6	the	the	DET
bae-8087	81	7	index	index	NOUN
bae-8087	81	8	for	for	ADP
bae-8087	81	9	the	the	DET
bae-8087	81	10	indicator	indicator	NOUN
bae-8087	81	11	response	response	NOUN
bae-8087	81	12	(	(	PUNCT
bae-8087	81	13	i.e.	i.e.	X
bae-8087	81	14	l∈{1,2,3	l∈{1,2,3	ADJ
bae-8087	81	15	}	}	PUNCT
bae-8087	81	16	)	)	PUNCT
bae-8087	81	17	,	,	PUNCT
bae-8087	81	18	we	we	PRON
bae-8087	81	19	have	have	VERB
bae-8087	81	20	:	:	PUNCT
bae-8087	81	21	(	(	PUNCT
bae-8087	81	22	5	5	X
bae-8087	81	23	)	)	PUNCT
bae-8087	81	24	where	where	SCONJ
bae-8087	81	25	and	and	CCONJ
bae-8087	81	26	are	be	AUX
bae-8087	81	27	threshold	threshold	NOUN
bae-8087	81	28	parameters	parameter	NOUN
bae-8087	81	29	to	to	PART
bae-8087	81	30	be	be	AUX
bae-8087	81	31	estimated	estimate	VERB
bae-8087	81	32	.	.	PUNCT
bae-8087	82	1	in	in	ADP
bae-8087	82	2	order	order	NOUN
bae-8087	82	3	to	to	PART
bae-8087	82	4	preserve	preserve	VERB
bae-8087	82	5	the	the	DET
bae-8087	82	6	positive	positive	ADJ
bae-8087	82	7	signs	sign	NOUN
bae-8087	82	8	of	of	ADP
bae-8087	82	9	all	all	PRON
bae-8087	82	10	of	of	ADP
bae-8087	82	11	the	the	DET
bae-8087	82	12	probabilities	probability	NOUN
bae-8087	82	13	and	and	CCONJ
bae-8087	82	14	ensure	ensure	VERB
bae-8087	82	15	that	that	SCONJ
bae-8087	82	16	the	the	DET
bae-8087	82	17	support	support	NOUN
bae-8087	82	18	is	be	AUX
bae-8087	82	19	over	over	ADP
bae-8087	82	20	the	the	DET
bae-8087	82	21	entire	entire	ADJ
bae-8087	82	22	real	real	ADJ
bae-8087	82	23	line	line	NOUN
bae-8087	82	24	,	,	PUNCT
bae-8087	82	25	there	there	PRON
bae-8087	82	26	is	be	VERB
bae-8087	82	27	a	a	DET
bae-8087	82	28	strict	strict	ADJ
bae-8087	82	29	ordering	ordering	NOUN
bae-8087	82	30	of	of	ADP
bae-8087	82	31	threshold	threshold	NOUN
bae-8087	82	32	values	value	NOUN
bae-8087	82	33	that	that	PRON
bae-8087	82	34	demarcate	demarcate	VERB
bae-8087	82	35	the	the	DET
bae-8087	82	36	observed	observed	ADJ
bae-8087	82	37	ordinal	ordinal	ADJ
bae-8087	82	38	levels	level	NOUN
bae-8087	82	39	of	of	ADP
bae-8087	82	40	the	the	DET
bae-8087	82	41	indicator	indicator	NOUN
bae-8087	82	42	question	question	NOUN
bae-8087	82	43	,	,	PUNCT
bae-8087	82	44	specifically	specifically	ADV
bae-8087	82	45	-∞	-∞	X
bae-8087	82	46	<	<	X
bae-8087	82	47	<	<	X
bae-8087	82	48	<	<	X
bae-8087	82	49	∞	∞	PROPN
bae-8087	82	50	,	,	PUNCT
bae-8087	82	51	with	with	ADP
bae-8087	82	52	τ0=-∞	τ0=-∞	NOUN
bae-8087	82	53	and	and	CCONJ
bae-8087	82	54	τl=∞.	τl=∞.	PUNCT
bae-8087	82	55	with	with	ADP
bae-8087	82	56	this	this	PRON
bae-8087	82	57	in	in	ADP
bae-8087	82	58	place	place	NOUN
bae-8087	82	59	,	,	PUNCT
bae-8087	82	60	the	the	DET
bae-8087	82	61	probability	probability	NOUN
bae-8087	82	62	for	for	ADP
bae-8087	82	63	the	the	DET
bae-8087	82	64	response	response	NOUN
bae-8087	82	65	to	to	ADP
bae-8087	82	66	the	the	DET
bae-8087	82	67	indicator	indicator	NOUN
bae-8087	82	68	question	question	NOUN
bae-8087	82	69	for	for	SCONJ
bae-8087	82	70	individual	individual	ADJ
bae-8087	82	71	n	n	NOUN
bae-8087	82	72	can	can	AUX
bae-8087	82	73	be	be	AUX
bae-8087	82	74	represented	represent	VERB
bae-8087	82	75	by	by	ADP
bae-8087	82	76	the	the	DET
bae-8087	82	77	ordered	order	VERB
bae-8087	82	78	logit	logit	PROPN
bae-8087	82	79	model	model	PROPN
bae-8087	82	80	:	:	PUNCT
bae-8087	82	81	(	(	PUNCT
bae-8087	82	82	6	6	NUM
bae-8087	82	83	)	)	PUNCT
bae-8087	82	84	where	where	SCONJ
bae-8087	82	85	λ	λ	X
bae-8087	82	86	(	(	PUNCT
bae-8087	82	87	.	.	PUNCT
bae-8087	82	88	)	)	PUNCT
bae-8087	82	89	represents	represent	VERB
bae-8087	82	90	the	the	DET
bae-8087	82	91	standard	standard	ADJ
bae-8087	82	92	logistic	logistic	ADJ
bae-8087	82	93	cumulative	cumulative	ADJ
bae-8087	82	94	distribution	distribution	NOUN
bae-8087	82	95	function	function	NOUN
bae-8087	82	96	and	and	CCONJ
bae-8087	82	97	is	be	AUX
bae-8087	82	98	a	a	DET
bae-8087	82	99	variable	variable	NOUN
bae-8087	82	100	equal	equal	ADJ
bae-8087	82	101	to	to	ADP
bae-8087	82	102	one	one	NUM
bae-8087	82	103	when	when	SCONJ
bae-8087	82	104	the	the	DET
bae-8087	82	105	indicator	indicator	NOUN
bae-8087	82	106	level	level	NOUN
bae-8087	82	107	l	l	NOUN
bae-8087	82	108	is	be	AUX
bae-8087	82	109	responded	respond	VERB
bae-8087	82	110	by	by	ADP
bae-8087	82	111	individual	individual	ADJ
bae-8087	82	112	n	n	PROPN
bae-8087	82	113	and	and	CCONJ
bae-8087	82	114	zero	zero	NUM
bae-8087	82	115	otherwise	otherwise	ADV
bae-8087	82	116	.	.	PUNCT
bae-8087	83	1	310	310	NUM
bae-8087	83	2	danny	danny	PROPN
bae-8087	83	3	campbell	campbell	PROPN
bae-8087	83	4	,	,	PUNCT
bae-8087	83	5	erlend	erlend	VERB
bae-8087	83	6	dancke	dancke	PROPN
bae-8087	83	7	sandorf	sandorf	PROPN
bae-8087	83	8	to	to	PART
bae-8087	83	9	estimate	estimate	VERB
bae-8087	83	10	the	the	DET
bae-8087	83	11	iclv	iclv	PROPN
bae-8087	83	12	model	model	NOUN
bae-8087	83	13	,	,	PUNCT
bae-8087	83	14	we	we	PRON
bae-8087	83	15	need	need	VERB
bae-8087	83	16	to	to	PART
bae-8087	83	17	maximize	maximize	VERB
bae-8087	83	18	the	the	DET
bae-8087	83	19	joint	joint	ADJ
bae-8087	83	20	likelihood	likelihood	NOUN
bae-8087	83	21	of	of	ADP
bae-8087	83	22	the	the	DET
bae-8087	83	23	observed	observe	VERB
bae-8087	83	24	sequence	sequence	NOUN
bae-8087	83	25	of	of	ADP
bae-8087	83	26	choices	choice	NOUN
bae-8087	83	27	and	and	CCONJ
bae-8087	83	28	the	the	DET
bae-8087	83	29	observed	observed	ADJ
bae-8087	83	30	responses	response	NOUN
bae-8087	83	31	to	to	ADP
bae-8087	83	32	the	the	DET
bae-8087	83	33	likert	likert	ADJ
bae-8087	83	34	scale	scale	NOUN
bae-8087	83	35	questions	question	NOUN
bae-8087	83	36	gauging	gauge	VERB
bae-8087	83	37	proenvironmental	proenvironmental	NOUN
bae-8087	83	38	behaviour	behaviour	NOUN
bae-8087	83	39	.	.	PUNCT
bae-8087	84	1	we	we	PRON
bae-8087	84	2	can	can	AUX
bae-8087	84	3	write	write	VERB
bae-8087	84	4	the	the	DET
bae-8087	84	5	overall	overall	ADJ
bae-8087	84	6	likelihood	likelihood	NOUN
bae-8087	84	7	function	function	NOUN
bae-8087	84	8	as	as	SCONJ
bae-8087	84	9	follows	follow	VERB
bae-8087	84	10	:	:	PUNCT
bae-8087	84	11	(	(	PUNCT
bae-8087	84	12	7	7	X
bae-8087	84	13	)	)	PUNCT
bae-8087	84	14	where	where	SCONJ
bae-8087	84	15	denotes	denote	VERB
bae-8087	84	16	the	the	DET
bae-8087	84	17	normal	normal	ADJ
bae-8087	84	18	density	density	NOUN
bae-8087	84	19	with	with	ADP
bae-8087	84	20	mean	mean	NOUN
bae-8087	84	21	zero	zero	NUM
bae-8087	84	22	and	and	CCONJ
bae-8087	84	23	variance	variance	NOUN
bae-8087	84	24	.	.	PUNCT
bae-8087	85	1	note	note	VERB
bae-8087	85	2	the	the	DET
bae-8087	85	3	probability	probability	NOUN
bae-8087	85	4	now	now	ADV
bae-8087	85	5	involves	involve	VERB
bae-8087	85	6	a	a	DET
bae-8087	85	7	k+1	k+1	X
bae-8087	85	8	dimensional	dimensional	ADJ
bae-8087	85	9	integral	integral	ADJ
bae-8087	85	10	.	.	PUNCT
bae-8087	86	1	3	3	X
bae-8087	86	2	.	.	X
bae-8087	86	3	synthetic	synthetic	ADJ
bae-8087	86	4	data	datum	NOUN
bae-8087	86	5	generating	generating	NOUN
bae-8087	86	6	process	process	NOUN
bae-8087	86	7	and	and	CCONJ
bae-8087	86	8	approach	approach	VERB
bae-8087	86	9	3.1	3.1	NUM
bae-8087	86	10	data	datum	NOUN
bae-8087	86	11	we	we	PRON
bae-8087	86	12	use	use	VERB
bae-8087	86	13	monte	monte	NOUN
bae-8087	86	14	-	-	PUNCT
bae-8087	86	15	carlo	carlo	NOUN
bae-8087	86	16	experiments	experiment	NOUN
bae-8087	86	17	to	to	PART
bae-8087	86	18	generate	generate	VERB
bae-8087	86	19	synthetic	synthetic	ADJ
bae-8087	86	20	datasets	dataset	NOUN
bae-8087	86	21	.	.	PUNCT
bae-8087	87	1	this	this	PRON
bae-8087	87	2	is	be	AUX
bae-8087	87	3	particularly	particularly	ADV
bae-8087	87	4	useful	useful	ADJ
bae-8087	87	5	because	because	SCONJ
bae-8087	87	6	we	we	PRON
bae-8087	87	7	know	know	VERB
bae-8087	87	8	the	the	DET
bae-8087	87	9	true	true	ADJ
bae-8087	87	10	parameters	parameter	NOUN
bae-8087	87	11	underlying	underlie	VERB
bae-8087	87	12	the	the	DET
bae-8087	87	13	data	data	NOUN
bae-8087	87	14	generating	generating	NOUN
bae-8087	87	15	process	process	NOUN
bae-8087	87	16	(	(	PUNCT
bae-8087	87	17	dgp	dgp	NOUN
bae-8087	87	18	)	)	PUNCT
bae-8087	87	19	and	and	CCONJ
bae-8087	87	20	will	will	AUX
bae-8087	87	21	enable	enable	VERB
bae-8087	87	22	us	we	PRON
bae-8087	87	23	to	to	PART
bae-8087	87	24	judge	judge	VERB
bae-8087	87	25	model	model	NOUN
bae-8087	87	26	performance	performance	NOUN
bae-8087	87	27	in	in	ADP
bae-8087	87	28	terms	term	NOUN
bae-8087	87	29	of	of	ADP
bae-8087	87	30	how	how	SCONJ
bae-8087	87	31	close	close	ADJ
bae-8087	87	32	the	the	DET
bae-8087	87	33	model	model	NOUN
bae-8087	87	34	estimates	estimate	NOUN
bae-8087	87	35	are	be	AUX
bae-8087	87	36	to	to	ADP
bae-8087	87	37	the	the	DET
bae-8087	87	38	true	true	ADJ
bae-8087	87	39	values	value	NOUN
bae-8087	87	40	.	.	PUNCT
bae-8087	88	1	for	for	ADP
bae-8087	88	2	this	this	DET
bae-8087	88	3	demonstration	demonstration	NOUN
bae-8087	88	4	,	,	PUNCT
bae-8087	88	5	we	we	PRON
bae-8087	88	6	construct	construct	VERB
bae-8087	88	7	a	a	DET
bae-8087	88	8	stated	state	VERB
bae-8087	88	9	choice	choice	NOUN
bae-8087	88	10	experiment	experiment	NOUN
bae-8087	88	11	characterized	characterize	VERB
bae-8087	88	12	by	by	ADP
bae-8087	88	13	three	three	NUM
bae-8087	88	14	environmental	environmental	ADJ
bae-8087	88	15	attributes	attribute	NOUN
bae-8087	88	16	:	:	PUNCT
bae-8087	88	17	“	"	PUNCT
bae-8087	88	18	area	area	NOUN
bae-8087	88	19	”	"	PUNCT
bae-8087	88	20	represents	represent	VERB
bae-8087	88	21	the	the	DET
bae-8087	88	22	protected	protect	VERB
bae-8087	88	23	area	area	NOUN
bae-8087	88	24	(	(	PUNCT
bae-8087	88	25	in	in	ADP
bae-8087	88	26	1,000	1,000	NUM
bae-8087	88	27	km2	km2	NOUN
bae-8087	88	28	)	)	PUNCT
bae-8087	88	29	with	with	ADP
bae-8087	88	30	levels	level	NOUN
bae-8087	88	31	2	2	NUM
bae-8087	88	32	,	,	PUNCT
bae-8087	88	33	4	4	NUM
bae-8087	88	34	,	,	PUNCT
bae-8087	88	35	6	6	NUM
bae-8087	88	36	,	,	PUNCT
bae-8087	88	37	8	8	NUM
bae-8087	88	38	,	,	PUNCT
bae-8087	88	39	10	10	NUM
bae-8087	88	40	and	and	CCONJ
bae-8087	88	41	12	12	NUM
bae-8087	88	42	;	;	PUNCT
bae-8087	88	43	“	"	PUNCT
bae-8087	88	44	broadleaf	broadleaf	NOUN
bae-8087	88	45	”	"	PUNCT
bae-8087	88	46	denotes	denote	VERB
bae-8087	88	47	the	the	DET
bae-8087	88	48	fraction	fraction	NOUN
bae-8087	88	49	of	of	ADP
bae-8087	88	50	newly	newly	ADV
bae-8087	88	51	planted	plant	VERB
bae-8087	88	52	trees	tree	NOUN
bae-8087	88	53	that	that	PRON
bae-8087	88	54	are	be	AUX
bae-8087	88	55	broad	broad	ADV
bae-8087	88	56	-	-	PUNCT
bae-8087	88	57	leafed	leaf	VERB
bae-8087	88	58	with	with	ADP
bae-8087	88	59	levels	level	NOUN
bae-8087	88	60	0.0	0.0	NUM
bae-8087	88	61	,	,	PUNCT
bae-8087	88	62	0.2	0.2	NUM
bae-8087	88	63	,	,	PUNCT
bae-8087	88	64	0.4	0.4	NUM
bae-8087	88	65	,	,	PUNCT
bae-8087	88	66	0.6	0.6	NUM
bae-8087	88	67	,	,	PUNCT
bae-8087	88	68	0.8	0.8	NUM
bae-8087	88	69	,	,	PUNCT
bae-8087	88	70	and	and	CCONJ
bae-8087	88	71	1.0	1.0	NUM
bae-8087	88	72	;	;	PUNCT
bae-8087	88	73	and	and	CCONJ
bae-8087	88	74	,	,	PUNCT
bae-8087	88	75	“	"	PUNCT
bae-8087	88	76	recreation	recreation	NOUN
bae-8087	88	77	”	"	PUNCT
bae-8087	88	78	is	be	AUX
bae-8087	88	79	a	a	DET
bae-8087	88	80	zero	zero	NUM
bae-8087	88	81	-	-	PUNCT
bae-8087	88	82	one	one	NUM
bae-8087	88	83	indicator	indicator	NOUN
bae-8087	88	84	variable	variable	NOUN
bae-8087	88	85	signifying	signify	VERB
bae-8087	88	86	if	if	SCONJ
bae-8087	88	87	recreation	recreation	NOUN
bae-8087	88	88	opportunities	opportunity	NOUN
bae-8087	88	89	are	be	AUX
bae-8087	88	90	available	available	ADJ
bae-8087	88	91	.	.	PUNCT
bae-8087	89	1	the	the	DET
bae-8087	89	2	“	"	PUNCT
bae-8087	89	3	cost	cost	NOUN
bae-8087	89	4	”	"	PUNCT
bae-8087	89	5	attribute	attribute	NOUN
bae-8087	89	6	is	be	AUX
bae-8087	89	7	specified	specify	VERB
bae-8087	89	8	as	as	ADP
bae-8087	89	9	having	have	VERB
bae-8087	89	10	six	six	NUM
bae-8087	89	11	levels	level	NOUN
bae-8087	89	12	:	:	PUNCT
bae-8087	89	13	€	€	SYM
bae-8087	89	14	5	5	NUM
bae-8087	89	15	,	,	PUNCT
bae-8087	89	16	€	€	SYM
bae-8087	89	17	10	10	NUM
bae-8087	89	18	,	,	PUNCT
bae-8087	89	19	€	€	SYM
bae-8087	89	20	15	15	NUM
bae-8087	89	21	,	,	PUNCT
bae-8087	89	22	€	€	SYM
bae-8087	89	23	20	20	NUM
bae-8087	89	24	,	,	PUNCT
bae-8087	89	25	€	€	SYM
bae-8087	89	26	25	25	NUM
bae-8087	89	27	and	and	CCONJ
bae-8087	89	28	€	€	SYM
bae-8087	89	29	30	30	NUM
bae-8087	89	30	.	.	PUNCT
bae-8087	90	1	next	next	ADV
bae-8087	90	2	we	we	PRON
bae-8087	90	3	generate	generate	VERB
bae-8087	90	4	a	a	DET
bae-8087	90	5	random	random	ADJ
bae-8087	90	6	experimental	experimental	ADJ
bae-8087	90	7	design	design	NOUN
bae-8087	90	8	consisting	consist	VERB
bae-8087	90	9	of	of	ADP
bae-8087	90	10	500	500	NUM
bae-8087	90	11	synthetic	synthetic	ADJ
bae-8087	90	12	individuals	individual	NOUN
bae-8087	90	13	completing	complete	VERB
bae-8087	90	14	six	six	NUM
bae-8087	90	15	choice	choice	NOUN
bae-8087	90	16	tasks	task	NOUN
bae-8087	90	17	comprising	comprise	VERB
bae-8087	90	18	two	two	NUM
bae-8087	90	19	alternatives.3	alternatives.3	NOUN
bae-8087	90	20	for	for	ADP
bae-8087	90	21	the	the	DET
bae-8087	90	22	indicator	indicator	NOUN
bae-8087	90	23	question	question	NOUN
bae-8087	90	24	we	we	PRON
bae-8087	90	25	make	make	VERB
bae-8087	90	26	use	use	NOUN
bae-8087	90	27	of	of	ADP
bae-8087	90	28	a	a	DET
bae-8087	90	29	three	three	NUM
bae-8087	90	30	-	-	PUNCT
bae-8087	90	31	point	point	NOUN
bae-8087	90	32	likert	likert	NOUN
bae-8087	90	33	-	-	NOUN
bae-8087	90	34	scale	scale	NOUN
bae-8087	90	35	indicating	indicate	VERB
bae-8087	90	36	environmental	environmental	ADJ
bae-8087	90	37	tendency	tendency	NOUN
bae-8087	90	38	:	:	PUNCT
bae-8087	90	39	anti	anti	ADJ
bae-8087	90	40	-	-	ADJ
bae-8087	90	41	environmental	environmental	ADJ
bae-8087	90	42	tendencies	tendency	NOUN
bae-8087	90	43	,	,	PUNCT
bae-8087	90	44	neutral	neutral	ADJ
bae-8087	90	45	-	-	PUNCT
bae-8087	90	46	environmental	environmental	ADJ
bae-8087	90	47	tendencies	tendency	NOUN
bae-8087	90	48	and	and	CCONJ
bae-8087	90	49	pro	pro	ADJ
bae-8087	90	50	-	-	ADJ
bae-8087	90	51	environmental	environmental	ADJ
bae-8087	90	52	tendencies	tendency	NOUN
bae-8087	90	53	.	.	PUNCT
bae-8087	91	1	our	our	PRON
bae-8087	91	2	monte	monte	PROPN
bae-8087	91	3	-	-	PUNCT
bae-8087	91	4	carlo	carlo	PROPN
bae-8087	91	5	strategy	strategy	NOUN
bae-8087	91	6	involves	involve	VERB
bae-8087	91	7	25	25	NUM
bae-8087	91	8	data	data	NOUN
bae-8087	91	9	generation	generation	NOUN
bae-8087	91	10	processes	process	NOUN
bae-8087	91	11	.	.	PUNCT
bae-8087	92	1	in	in	ADP
bae-8087	92	2	all	all	DET
bae-8087	92	3	settings	setting	NOUN
bae-8087	92	4	,	,	PUNCT
bae-8087	92	5	the	the	DET
bae-8087	92	6	model	model	NOUN
bae-8087	92	7	specification	specification	NOUN
bae-8087	92	8	used	use	VERB
bae-8087	92	9	in	in	ADP
bae-8087	92	10	the	the	DET
bae-8087	92	11	dgp	dgp	NOUN
bae-8087	92	12	is	be	AUX
bae-8087	92	13	based	base	VERB
bae-8087	92	14	on	on	ADP
bae-8087	92	15	the	the	DET
bae-8087	92	16	iclv	iclv	ADJ
bae-8087	92	17	model	model	NOUN
bae-8087	92	18	with	with	ADP
bae-8087	92	19	a	a	DET
bae-8087	92	20	random	random	ADJ
bae-8087	92	21	parameters	parameter	NOUN
bae-8087	92	22	mixed	mixed	ADJ
bae-8087	92	23	logit	logit	PROPN
bae-8087	92	24	kernel	kernel	PROPN
bae-8087	92	25	described	describe	VERB
bae-8087	92	26	above	above	ADV
bae-8087	92	27	.	.	PUNCT
bae-8087	93	1	specifically	specifically	ADV
bae-8087	93	2	,	,	PUNCT
bae-8087	93	3	we	we	PRON
bae-8087	93	4	assume	assume	VERB
bae-8087	93	5	:	:	PUNCT
bae-8087	93	6	βnk	βnk	PROPN
bae-8087	93	7	=	=	SYM
bae-8087	93	8	μk+γkln+σkυnk	μk+γkln+σkυnk	PROPN
bae-8087	93	9	,	,	PUNCT
bae-8087	93	10	(	(	PUNCT
bae-8087	93	11	8)	8)	NUM
bae-8087	93	12	where	where	SCONJ
bae-8087	93	13	υnk	υnk	PROPN
bae-8087	93	14	is	be	AUX
bae-8087	93	15	an	an	DET
bae-8087	93	16	independent	independent	ADJ
bae-8087	93	17	standard	standard	ADJ
bae-8087	93	18	normal	normal	ADJ
bae-8087	93	19	deviate	deviate	NOUN
bae-8087	93	20	,	,	PUNCT
bae-8087	93	21	meaning	mean	VERB
bae-8087	93	22	that	that	SCONJ
bae-8087	93	23	σk	σk	PROPN
bae-8087	93	24	can	can	AUX
bae-8087	93	25	be	be	AUX
bae-8087	93	26	interpreted	interpret	VERB
bae-8087	93	27	as	as	ADP
bae-8087	93	28	the	the	DET
bae-8087	93	29	standard	standard	ADJ
bae-8087	93	30	deviation	deviation	NOUN
bae-8087	93	31	of	of	ADP
bae-8087	93	32	the	the	DET
bae-8087	93	33	(	(	PUNCT
bae-8087	93	34	underlying	underlie	VERB
bae-8087	93	35	)	)	PUNCT
bae-8087	93	36	normal	normal	ADJ
bae-8087	93	37	distribution.4	distribution.4	NOUN
bae-8087	93	38	the	the	DET
bae-8087	93	39	parameter	parameter	NOUN
bae-8087	93	40	vector	vector	NOUN
bae-8087	93	41	γ	γ	PROPN
bae-8087	93	42	determines	determine	VERB
bae-8087	93	43	the	the	DET
bae-8087	93	44	direction	direction	NOUN
bae-8087	93	45	and	and	CCONJ
bae-8087	93	46	strength	strength	NOUN
bae-8087	93	47	of	of	ADP
bae-8087	93	48	the	the	DET
bae-8087	93	49	relationship	relationship	NOUN
bae-8087	93	50	between	between	ADP
bae-8087	93	51	the	the	DET
bae-8087	93	52	latent	latent	NOUN
bae-8087	93	53	variable	variable	NOUN
bae-8087	93	54	and	and	CCONJ
bae-8087	93	55	the	the	DET
bae-8087	93	56	marginal	marginal	ADJ
bae-8087	93	57	utilities	utility	NOUN
bae-8087	93	58	.	.	PUNCT
bae-8087	94	1	to	to	PART
bae-8087	94	2	asses	asse	VERB
bae-8087	94	3	how	how	SCONJ
bae-8087	94	4	findings	finding	NOUN
bae-8087	94	5	are	be	AUX
bae-8087	94	6	sensitive	sensitive	ADJ
bae-8087	94	7	to	to	ADP
bae-8087	94	8	different	different	ADJ
bae-8087	94	9	values	value	NOUN
bae-8087	94	10	of	of	ADP
bae-8087	94	11	γ	γ	NOUN
bae-8087	94	12	we	we	PRON
bae-8087	94	13	consider	consider	VERB
bae-8087	94	14	different	different	ADJ
bae-8087	94	15	vectors	vector	NOUN
bae-8087	94	16	.	.	PUNCT
bae-8087	95	1	this	this	PRON
bae-8087	95	2	goes	go	VERB
bae-8087	95	3	from	from	ADP
bae-8087	95	4	the	the	DET
bae-8087	95	5	case	case	NOUN
bae-8087	95	6	where	where	SCONJ
bae-8087	95	7	the	the	DET
bae-8087	95	8	latent	latent	NOUN
bae-8087	95	9	variable	variable	NOUN
bae-8087	95	10	has	have	VERB
bae-8087	95	11	no	no	DET
bae-8087	95	12	bearing	bearing	NOUN
bae-8087	95	13	on	on	ADP
bae-8087	95	14	any	any	PRON
bae-8087	95	15	of	of	ADP
bae-8087	95	16	the	the	DET
bae-8087	95	17	marginal	marginal	ADJ
bae-8087	95	18	utility	utility	NOUN
bae-8087	95	19	distributions	distribution	NOUN
bae-8087	95	20	(	(	PUNCT
bae-8087	95	21	i.e.	i.e.	X
bae-8087	95	22	 	 	SPACE
bae-8087	95	23	where	where	SCONJ
bae-8087	95	24	γk=0∀k	γk=0∀k	NOUN
bae-8087	95	25	)	)	PUNCT
bae-8087	95	26	to	to	ADP
bae-8087	95	27	one	one	NUM
bae-8087	95	28	in	in	ADP
bae-8087	95	29	which	which	PRON
bae-8087	95	30	it	it	PRON
bae-8087	95	31	plays	play	VERB
bae-8087	95	32	a	a	DET
bae-8087	95	33	3	3	NUM
bae-8087	95	34	while	while	SCONJ
bae-8087	95	35	this	this	DET
bae-8087	95	36	design	design	NOUN
bae-8087	95	37	ensures	ensure	VERB
bae-8087	95	38	that	that	SCONJ
bae-8087	95	39	all	all	DET
bae-8087	95	40	attribute	attribute	NOUN
bae-8087	95	41	levels	level	NOUN
bae-8087	95	42	can	can	AUX
bae-8087	95	43	be	be	AUX
bae-8087	95	44	estimated	estimate	VERB
bae-8087	95	45	independently	independently	ADV
bae-8087	95	46	of	of	ADP
bae-8087	95	47	each	each	DET
bae-8087	95	48	other	other	ADJ
bae-8087	95	49	,	,	PUNCT
bae-8087	95	50	we	we	PRON
bae-8087	95	51	recognise	recognise	VERB
bae-8087	95	52	that	that	SCONJ
bae-8087	95	53	a	a	DET
bae-8087	95	54	more	more	ADV
bae-8087	95	55	efficient	efficient	ADJ
bae-8087	95	56	experimental	experimental	ADJ
bae-8087	95	57	design	design	NOUN
bae-8087	95	58	could	could	AUX
bae-8087	95	59	have	have	AUX
bae-8087	95	60	been	be	AUX
bae-8087	95	61	used	use	VERB
bae-8087	95	62	to	to	PART
bae-8087	95	63	minimise	minimise	VERB
bae-8087	95	64	the	the	DET
bae-8087	95	65	variance	variance	NOUN
bae-8087	95	66	of	of	ADP
bae-8087	95	67	the	the	DET
bae-8087	95	68	parameters	parameter	NOUN
bae-8087	95	69	.	.	PUNCT
bae-8087	96	1	however	however	ADV
bae-8087	96	2	,	,	PUNCT
bae-8087	96	3	in	in	ADP
bae-8087	96	4	a	a	DET
bae-8087	96	5	monte	monte	PROPN
bae-8087	96	6	carlo	carlo	NOUN
bae-8087	96	7	experiment	experiment	NOUN
bae-8087	96	8	with	with	ADP
bae-8087	96	9	specified	specified	ADJ
bae-8087	96	10	parameters	parameter	NOUN
bae-8087	96	11	it	it	PRON
bae-8087	96	12	may	may	AUX
bae-8087	96	13	be	be	AUX
bae-8087	96	14	more	more	ADV
bae-8087	96	15	appropriate	appropriate	ADJ
bae-8087	96	16	to	to	PART
bae-8087	96	17	show	show	VERB
bae-8087	96	18	that	that	SCONJ
bae-8087	96	19	the	the	DET
bae-8087	96	20	results	result	NOUN
bae-8087	96	21	stand	stand	VERB
bae-8087	96	22	up	up	ADP
bae-8087	96	23	in	in	ADP
bae-8087	96	24	cases	case	NOUN
bae-8087	96	25	where	where	SCONJ
bae-8087	96	26	the	the	DET
bae-8087	96	27	experimental	experimental	ADJ
bae-8087	96	28	design	design	NOUN
bae-8087	96	29	is	be	AUX
bae-8087	96	30	not	not	PART
bae-8087	96	31	tailored	tailor	VERB
bae-8087	96	32	too	too	ADV
bae-8087	96	33	closely	closely	ADV
bae-8087	96	34	to	to	ADP
bae-8087	96	35	the	the	DET
bae-8087	96	36	data	data	NOUN
bae-8087	96	37	-	-	PUNCT
bae-8087	96	38	generating	generate	VERB
bae-8087	96	39	parameters	parameter	NOUN
bae-8087	96	40	.	.	PUNCT
bae-8087	97	1	indeed	indeed	ADV
bae-8087	97	2	,	,	PUNCT
bae-8087	97	3	this	this	PRON
bae-8087	97	4	would	would	AUX
bae-8087	97	5	be	be	AUX
bae-8087	97	6	the	the	DET
bae-8087	97	7	case	case	NOUN
bae-8087	97	8	in	in	ADP
bae-8087	97	9	a	a	DET
bae-8087	97	10	real	real	ADJ
bae-8087	97	11	-	-	PUNCT
bae-8087	97	12	life	life	NOUN
bae-8087	97	13	empirical	empirical	ADJ
bae-8087	97	14	application	application	NOUN
bae-8087	97	15	.	.	PUNCT
bae-8087	98	1	4	4	NUM
bae-8087	98	2	for	for	ADP
bae-8087	98	3	the	the	DET
bae-8087	98	4	cost	cost	NOUN
bae-8087	98	5	attribute	attribute	NOUN
bae-8087	98	6	,	,	PUNCT
bae-8087	98	7	we	we	PRON
bae-8087	98	8	specify	specify	VERB
bae-8087	98	9	βnk=-exp(μk+γkln+σkυnk	βnk=-exp(μk+γkln+σkυnk	NOUN
bae-8087	98	10	)	)	PUNCT
bae-8087	98	11	to	to	PART
bae-8087	98	12	ensure	ensure	VERB
bae-8087	98	13	strictly	strictly	ADV
bae-8087	98	14	negative	negative	ADJ
bae-8087	98	15	values	value	NOUN
bae-8087	98	16	.	.	PUNCT
bae-8087	99	1	311the	311the	DET
bae-8087	99	2	use	use	NOUN
bae-8087	99	3	of	of	ADP
bae-8087	99	4	latent	latent	ADJ
bae-8087	99	5	variable	variable	ADJ
bae-8087	99	6	models	model	NOUN
bae-8087	99	7	in	in	ADP
bae-8087	99	8	policy	policy	NOUN
bae-8087	99	9	:	:	PUNCT
bae-8087	99	10	a	a	DET
bae-8087	99	11	road	road	NOUN
bae-8087	99	12	fraught	fraught	ADJ
bae-8087	99	13	with	with	ADP
bae-8087	99	14	peril	peril	NOUN
bae-8087	99	15	?	?	PUNCT
bae-8087	100	1	large	large	ADJ
bae-8087	100	2	role	role	NOUN
bae-8087	100	3	.	.	PUNCT
bae-8087	101	1	given	give	VERB
bae-8087	101	2	our	our	PRON
bae-8087	101	3	dgp	dgp	NOUN
bae-8087	101	4	of	of	ADP
bae-8087	101	5	a	a	DET
bae-8087	101	6	positive	positive	ADJ
bae-8087	101	7	correlation	correlation	NOUN
bae-8087	101	8	between	between	ADP
bae-8087	101	9	the	the	DET
bae-8087	101	10	latent	latent	NOUN
bae-8087	101	11	variable	variable	NOUN
bae-8087	101	12	and	and	CCONJ
bae-8087	101	13	environmental	environmental	ADJ
bae-8087	101	14	tendency	tendency	NOUN
bae-8087	101	15	,	,	PUNCT
bae-8087	101	16	we	we	PRON
bae-8087	101	17	achieve	achieve	VERB
bae-8087	101	18	this	this	PRON
bae-8087	101	19	by	by	ADP
bae-8087	101	20	increasing	increase	VERB
bae-8087	101	21	the	the	DET
bae-8087	101	22	γk	γk	PROPN
bae-8087	101	23	values	value	NOUN
bae-8087	101	24	for	for	ADP
bae-8087	101	25	the	the	DET
bae-8087	101	26	non	non	ADJ
bae-8087	101	27	-	-	ADJ
bae-8087	101	28	cost	cost	ADJ
bae-8087	101	29	attributes	attribute	NOUN
bae-8087	101	30	and	and	CCONJ
bae-8087	101	31	decreasing	decrease	VERB
bae-8087	101	32	it	it	PRON
bae-8087	101	33	for	for	ADP
bae-8087	101	34	the	the	DET
bae-8087	101	35	cost	cost	NOUN
bae-8087	101	36	attribute	attribute	NOUN
bae-8087	101	37	.	.	PUNCT
bae-8087	102	1	furthermore	furthermore	ADV
bae-8087	102	2	,	,	PUNCT
bae-8087	102	3	we	we	PRON
bae-8087	102	4	consider	consider	VERB
bae-8087	102	5	different	different	ADJ
bae-8087	102	6	values	value	NOUN
bae-8087	102	7	of	of	ADP
bae-8087	102	8	ψ	ψ	NOUN
bae-8087	102	9	to	to	PART
bae-8087	102	10	contrast	contrast	VERB
bae-8087	102	11	the	the	DET
bae-8087	102	12	suitability	suitability	NOUN
bae-8087	102	13	of	of	ADP
bae-8087	102	14	the	the	DET
bae-8087	102	15	indicator	indicator	NOUN
bae-8087	102	16	question	question	NOUN
bae-8087	102	17	as	as	ADP
bae-8087	102	18	a	a	DET
bae-8087	102	19	manifestation	manifestation	NOUN
bae-8087	102	20	of	of	ADP
bae-8087	102	21	the	the	DET
bae-8087	102	22	underlying	underlying	ADJ
bae-8087	102	23	latent	latent	NOUN
bae-8087	102	24	environmental	environmental	ADJ
bae-8087	102	25	tendency	tendency	NOUN
bae-8087	102	26	,	,	PUNCT
bae-8087	102	27	respectively	respectively	ADV
bae-8087	102	28	,	,	PUNCT
bae-8087	102	29	from	from	ADP
bae-8087	102	30	the	the	DET
bae-8087	102	31	case	case	NOUN
bae-8087	102	32	where	where	SCONJ
bae-8087	102	33	the	the	DET
bae-8087	102	34	likert	likert	ADJ
bae-8087	102	35	responses	response	NOUN
bae-8087	102	36	are	be	AUX
bae-8087	102	37	independent	independent	ADJ
bae-8087	102	38	of	of	ADP
bae-8087	102	39	environmental	environmental	ADJ
bae-8087	102	40	tendencies	tendency	NOUN
bae-8087	102	41	to	to	ADP
bae-8087	102	42	one	one	NUM
bae-8087	102	43	in	in	ADP
bae-8087	102	44	which	which	PRON
bae-8087	102	45	they	they	PRON
bae-8087	102	46	are	be	AUX
bae-8087	102	47	,	,	PUNCT
bae-8087	102	48	for	for	ADP
bae-8087	102	49	all	all	DET
bae-8087	102	50	intents	intent	NOUN
bae-8087	102	51	and	and	CCONJ
bae-8087	102	52	purposes	purpose	NOUN
bae-8087	102	53	,	,	PUNCT
bae-8087	102	54	direct	direct	ADJ
bae-8087	102	55	measures	measure	NOUN
bae-8087	102	56	of	of	ADP
bae-8087	102	57	environmental	environmental	ADJ
bae-8087	102	58	tendency	tendency	NOUN
bae-8087	102	59	.	.	PUNCT
bae-8087	103	1	we	we	PRON
bae-8087	103	2	make	make	VERB
bae-8087	103	3	use	use	NOUN
bae-8087	103	4	of	of	ADP
bae-8087	103	5	an	an	DET
bae-8087	103	6	orthogonal	orthogonal	ADJ
bae-8087	103	7	setup	setup	NOUN
bae-8087	103	8	with	with	ADP
bae-8087	103	9	five	five	NUM
bae-8087	103	10	sets	set	NOUN
bae-8087	103	11	of	of	ADP
bae-8087	103	12	parameters	parameter	NOUN
bae-8087	103	13	to	to	PART
bae-8087	103	14	control	control	VERB
bae-8087	103	15	for	for	ADP
bae-8087	103	16	the	the	DET
bae-8087	103	17	strength	strength	NOUN
bae-8087	103	18	of	of	ADP
bae-8087	103	19	relationship	relationship	NOUN
bae-8087	103	20	between	between	ADP
bae-8087	103	21	the	the	DET
bae-8087	103	22	latent	latent	NOUN
bae-8087	103	23	variable	variable	NOUN
bae-8087	103	24	and	and	CCONJ
bae-8087	103	25	the	the	DET
bae-8087	103	26	marginal	marginal	ADJ
bae-8087	103	27	utility	utility	NOUN
bae-8087	103	28	parameters	parameter	NOUN
bae-8087	103	29	and	and	CCONJ
bae-8087	103	30	five	five	NUM
bae-8087	103	31	parameters	parameter	NOUN
bae-8087	103	32	to	to	PART
bae-8087	103	33	control	control	VERB
bae-8087	103	34	the	the	DET
bae-8087	103	35	strength	strength	NOUN
bae-8087	103	36	of	of	ADP
bae-8087	103	37	relationship	relationship	NOUN
bae-8087	103	38	between	between	ADP
bae-8087	103	39	the	the	DET
bae-8087	103	40	latent	latent	NOUN
bae-8087	103	41	variable	variable	NOUN
bae-8087	103	42	and	and	CCONJ
bae-8087	103	43	the	the	DET
bae-8087	103	44	indicator	indicator	NOUN
bae-8087	103	45	response	response	NOUN
bae-8087	103	46	,	,	PUNCT
bae-8087	103	47	thus	thus	ADV
bae-8087	103	48	producing	produce	VERB
bae-8087	103	49	25	25	NUM
bae-8087	103	50	different	different	ADJ
bae-8087	103	51	dgps	dgps	PROPN
bae-8087	103	52	enabling	enable	VERB
bae-8087	103	53	independent	independent	ADJ
bae-8087	103	54	evaluation	evaluation	NOUN
bae-8087	103	55	.	.	PUNCT
bae-8087	104	1	the	the	DET
bae-8087	104	2	respective	respective	ADJ
bae-8087	104	3	γk	γk	NOUN
bae-8087	104	4	and	and	CCONJ
bae-8087	104	5	ψ	ψ	X
bae-8087	104	6	for	for	ADP
bae-8087	104	7	each	each	DET
bae-8087	104	8	dgp	dgp	NOUN
bae-8087	104	9	is	be	AUX
bae-8087	104	10	reported	report	VERB
bae-8087	104	11	in	in	ADP
bae-8087	104	12	table	table	NOUN
bae-8087	104	13	1	1	NUM
bae-8087	104	14	.	.	PUNCT
bae-8087	105	1	the	the	DET
bae-8087	105	2	other	other	ADJ
bae-8087	105	3	parameters	parameter	NOUN
bae-8087	105	4	remain	remain	VERB
bae-8087	105	5	constant	constant	ADJ
bae-8087	105	6	across	across	ADP
bae-8087	105	7	all	all	DET
bae-8087	105	8	dgps	dgps	PROPN
bae-8087	105	9	.	.	PUNCT
bae-8087	106	1	respectively	respectively	ADV
bae-8087	106	2	,	,	PUNCT
bae-8087	106	3	for	for	ADP
bae-8087	106	4	the	the	DET
bae-8087	106	5	cost	cost	NOUN
bae-8087	106	6	,	,	PUNCT
bae-8087	106	7	area	area	NOUN
bae-8087	106	8	,	,	PUNCT
bae-8087	106	9	broadleaf	broadleaf	NOUN
bae-8087	106	10	and	and	CCONJ
bae-8087	106	11	recreation	recreation	NOUN
bae-8087	106	12	attributes	attribute	VERB
bae-8087	106	13	the	the	DET
bae-8087	106	14	values	value	NOUN
bae-8087	106	15	of	of	ADP
bae-8087	106	16	μk	μk	NOUN
bae-8087	106	17	are	be	AUX
bae-8087	106	18	-1.0	-1.0	PROPN
bae-8087	106	19	,	,	PUNCT
bae-8087	106	20	0.6	0.6	NUM
bae-8087	106	21	,	,	PUNCT
bae-8087	106	22	2.5	2.5	NUM
bae-8087	106	23	and	and	CCONJ
bae-8087	106	24	1.4	1.4	NUM
bae-8087	106	25	,	,	PUNCT
bae-8087	106	26	and	and	CCONJ
bae-8087	106	27	the	the	DET
bae-8087	106	28	values	value	NOUN
bae-8087	106	29	of	of	ADP
bae-8087	106	30	σk	σk	NOUN
bae-8087	106	31	are	be	AUX
bae-8087	106	32	0.4	0.4	NUM
bae-8087	106	33	,	,	PUNCT
bae-8087	106	34	0.1	0.1	NUM
bae-8087	106	35	,	,	PUNCT
bae-8087	106	36	0.8	0.8	NUM
bae-8087	106	37	and	and	CCONJ
bae-8087	106	38	0.4	0.4	NUM
bae-8087	106	39	.	.	PUNCT
bae-8087	107	1	for	for	ADP
bae-8087	107	2	σl	σl	ADP
bae-8087	107	3	,	,	PUNCT
bae-8087	107	4	ζ	ζ	NOUN
bae-8087	107	5	,	,	PUNCT
bae-8087	107	6	τ1	τ1	NOUN
bae-8087	107	7	and	and	CCONJ
bae-8087	107	8	τ1	τ1	NOUN
bae-8087	107	9	we	we	PRON
bae-8087	107	10	use	use	VERB
bae-8087	107	11	1.2	1.2	NUM
bae-8087	107	12	,	,	PUNCT
bae-8087	107	13	-0.6	-0.6	NOUN
bae-8087	107	14	,	,	PUNCT
bae-8087	107	15	-1.0	-1.0	PROPN
bae-8087	107	16	and	and	CCONJ
bae-8087	107	17	0.1	0.1	NUM
bae-8087	107	18	,	,	PUNCT
bae-8087	107	19	respectively	respectively	ADV
bae-8087	107	20	.	.	PUNCT
bae-8087	108	1	in	in	ADP
bae-8087	108	2	practice	practice	NOUN
bae-8087	108	3	,	,	PUNCT
bae-8087	108	4	we	we	PRON
bae-8087	108	5	generated	generate	VERB
bae-8087	108	6	a	a	DET
bae-8087	108	7	deviate	deviate	NOUN
bae-8087	108	8	for	for	ADP
bae-8087	108	9	each	each	DET
bae-8087	108	10	synthetic	synthetic	ADJ
bae-8087	108	11	individual	individual	NOUN
bae-8087	108	12	from	from	ADP
bae-8087	108	13	n~(0,σl	n~(0,σl	NOUN
bae-8087	108	14	2	2	NUM
bae-8087	108	15	)	)	PUNCT
bae-8087	108	16	to	to	PART
bae-8087	108	17	represent	represent	VERB
bae-8087	108	18	their	their	PRON
bae-8087	108	19	specific	specific	ADJ
bae-8087	108	20	latent	latent	NOUN
bae-8087	108	21	variable	variable	NOUN
bae-8087	108	22	,	,	PUNCT
bae-8087	108	23	and	and	CCONJ
bae-8087	108	24	independent	independent	ADJ
bae-8087	108	25	deviates	deviate	VERB
bae-8087	108	26	from	from	ADP
bae-8087	108	27	n~(0,σk	n~(0,σk	NOUN
bae-8087	108	28	2	2	NUM
bae-8087	108	29	)	)	PUNCT
bae-8087	108	30	to	to	PART
bae-8087	108	31	obtain	obtain	VERB
bae-8087	108	32	their	their	PRON
bae-8087	108	33	specific	specific	ADJ
bae-8087	108	34	marginal	marginal	ADJ
bae-8087	108	35	utility	utility	NOUN
bae-8087	108	36	.	.	PUNCT
bae-8087	109	1	additionally	additionally	ADV
bae-8087	109	2	,	,	PUNCT
bae-8087	109	3	for	for	SCONJ
bae-8087	109	4	each	each	DET
bae-8087	109	5	utility	utility	NOUN
bae-8087	109	6	function	function	NOUN
bae-8087	109	7	and	and	CCONJ
bae-8087	109	8	their	their	PRON
bae-8087	109	9	underlying	underlie	VERB
bae-8087	109	10	continuous	continuous	ADJ
bae-8087	109	11	variable	variable	NOUN
bae-8087	109	12	relating	relate	VERB
bae-8087	109	13	to	to	ADP
bae-8087	109	14	the	the	DET
bae-8087	109	15	indicator	indicator	NOUN
bae-8087	109	16	we	we	PRON
bae-8087	109	17	retrieved	retrieve	VERB
bae-8087	109	18	deviates	deviate	VERB
bae-8087	109	19	from	from	ADP
bae-8087	109	20	independently	independently	ADV
bae-8087	109	21	and	and	CCONJ
bae-8087	109	22	identically	identically	ADV
bae-8087	109	23	distributed	distribute	VERB
bae-8087	109	24	type	type	NOUN
bae-8087	109	25	i	i	PRON
bae-8087	109	26	extreme	extreme	ADJ
bae-8087	109	27	value	value	NOUN
bae-8087	109	28	distributions	distribution	NOUN
bae-8087	109	29	with	with	ADP
bae-8087	109	30	variance	variance	NOUN
bae-8087	109	31	π2/6	π2/6	PROPN
bae-8087	109	32	.	.	PUNCT
bae-8087	110	1	the	the	DET
bae-8087	110	2	choices	choice	NOUN
bae-8087	110	3	are	be	AUX
bae-8087	110	4	produced	produce	VERB
bae-8087	110	5	by	by	ADP
bae-8087	110	6	identifying	identify	VERB
bae-8087	110	7	the	the	DET
bae-8087	110	8	alternative	alternative	NOUN
bae-8087	110	9	associated	associate	VERB
bae-8087	110	10	with	with	ADP
bae-8087	110	11	the	the	DET
bae-8087	110	12	largest	large	ADJ
bae-8087	110	13	utility	utility	NOUN
bae-8087	110	14	value	value	NOUN
bae-8087	110	15	.	.	PUNCT
bae-8087	111	1	the	the	DET
bae-8087	111	2	individual	individual	ADJ
bae-8087	111	3	counterfactual	counterfactual	ADJ
bae-8087	111	4	response	response	NOUN
bae-8087	111	5	to	to	ADP
bae-8087	111	6	the	the	DET
bae-8087	111	7	three	three	NUM
bae-8087	111	8	-	-	PUNCT
bae-8087	111	9	point	point	NOUN
bae-8087	111	10	indicator	indicator	NOUN
bae-8087	111	11	question	question	NOUN
bae-8087	111	12	is	be	AUX
bae-8087	111	13	established	establish	VERB
bae-8087	111	14	by	by	ADP
bae-8087	111	15	comparing	compare	VERB
bae-8087	111	16	the	the	DET
bae-8087	111	17	simulated	simulated	ADJ
bae-8087	111	18	indicator	indicator	NOUN
bae-8087	111	19	distribution	distribution	NOUN
bae-8087	111	20	against	against	ADP
bae-8087	111	21	the	the	DET
bae-8087	111	22	demarcation	demarcation	NOUN
bae-8087	111	23	thresholds	threshold	NOUN
bae-8087	111	24	.	.	PUNCT
bae-8087	112	1	since	since	SCONJ
bae-8087	112	2	idiosyncratic	idiosyncratic	ADJ
bae-8087	112	3	results	result	NOUN
bae-8087	112	4	can	can	AUX
bae-8087	112	5	arise	arise	VERB
bae-8087	112	6	from	from	ADP
bae-8087	112	7	a	a	DET
bae-8087	112	8	single	single	ADJ
bae-8087	112	9	sample	sample	NOUN
bae-8087	112	10	of	of	ADP
bae-8087	112	11	individuals	individual	NOUN
bae-8087	112	12	,	,	PUNCT
bae-8087	112	13	we	we	PRON
bae-8087	112	14	generate	generate	VERB
bae-8087	112	15	100	100	NUM
bae-8087	112	16	replications	replication	NOUN
bae-8087	112	17	for	for	ADP
bae-8087	112	18	every	every	DET
bae-8087	112	19	simulation	simulation	NOUN
bae-8087	112	20	setting	set	VERB
bae-8087	112	21	.	.	PUNCT
bae-8087	113	1	to	to	PART
bae-8087	113	2	determine	determine	VERB
bae-8087	113	3	how	how	SCONJ
bae-8087	113	4	well	well	ADV
bae-8087	113	5	the	the	DET
bae-8087	113	6	simulated	simulate	VERB
bae-8087	113	7	data	datum	NOUN
bae-8087	113	8	reflect	reflect	VERB
bae-8087	113	9	the	the	DET
bae-8087	113	10	dgp	dgp	NOUN
bae-8087	113	11	,	,	PUNCT
bae-8087	113	12	we	we	PRON
bae-8087	113	13	report	report	VERB
bae-8087	113	14	a	a	DET
bae-8087	113	15	number	number	NOUN
bae-8087	113	16	of	of	ADP
bae-8087	113	17	pearson	pearson	NOUN
bae-8087	113	18	correlation	correlation	NOUN
bae-8087	113	19	coefficients	coefficient	NOUN
bae-8087	113	20	for	for	ADP
bae-8087	113	21	each	each	DET
bae-8087	113	22	data	data	NOUN
bae-8087	113	23	generation	generation	NOUN
bae-8087	113	24	setting	set	VERB
bae-8087	113	25	in	in	ADP
bae-8087	113	26	table	table	NOUN
bae-8087	113	27	1	1	NUM
bae-8087	113	28	.	.	PUNCT
bae-8087	114	1	specifically	specifically	ADV
bae-8087	114	2	,	,	PUNCT
bae-8087	114	3	ρwk	ρwk	INTJ
bae-8087	114	4	,	,	PUNCT
bae-8087	114	5	l	l	PROPN
bae-8087	114	6	and	and	CCONJ
bae-8087	114	7	ρwk	ρwk	INTJ
bae-8087	114	8	,	,	PUNCT
bae-8087	114	9	i	i	PRON
bae-8087	114	10	*	*	VERB
bae-8087	114	11	denote	denote	VERB
bae-8087	114	12	the	the	DET
bae-8087	114	13	correlation	correlation	NOUN
bae-8087	114	14	between	between	ADP
bae-8087	114	15	the	the	DET
bae-8087	114	16	mwtp	mwtp	NOUN
bae-8087	114	17	for	for	ADP
bae-8087	114	18	attribute	attribute	NOUN
bae-8087	114	19	k	k	PROPN
bae-8087	114	20	and	and	CCONJ
bae-8087	114	21	the	the	DET
bae-8087	114	22	latent	latent	NOUN
bae-8087	114	23	variable	variable	NOUN
bae-8087	114	24	and	and	CCONJ
bae-8087	114	25	the	the	DET
bae-8087	114	26	underlying	underlie	VERB
bae-8087	114	27	continuous	continuous	ADJ
bae-8087	114	28	variable	variable	NOUN
bae-8087	114	29	relating	relate	VERB
bae-8087	114	30	to	to	ADP
bae-8087	114	31	the	the	DET
bae-8087	114	32	indicator	indicator	NOUN
bae-8087	114	33	,	,	PUNCT
bae-8087	114	34	respectively	respectively	ADV
bae-8087	114	35	.	.	PUNCT
bae-8087	115	1	the	the	DET
bae-8087	115	2	correlation	correlation	NOUN
bae-8087	115	3	between	between	ADP
bae-8087	115	4	the	the	DET
bae-8087	115	5	latent	latent	NOUN
bae-8087	115	6	variable	variable	NOUN
bae-8087	115	7	and	and	CCONJ
bae-8087	115	8	the	the	DET
bae-8087	115	9	underlying	underlie	VERB
bae-8087	115	10	continuous	continuous	ADJ
bae-8087	115	11	variable	variable	NOUN
bae-8087	115	12	relating	relate	VERB
bae-8087	115	13	to	to	ADP
bae-8087	115	14	the	the	DET
bae-8087	115	15	indicator	indicator	NOUN
bae-8087	115	16	is	be	AUX
bae-8087	115	17	signified	signify	VERB
bae-8087	115	18	by	by	ADP
bae-8087	115	19	ρl	ρl	ADP
bae-8087	115	20	,	,	PUNCT
bae-8087	115	21	i	i	PRON
bae-8087	115	22	*	*	NOUN
bae-8087	115	23	.	.	PUNCT
bae-8087	116	1	we	we	PRON
bae-8087	116	2	can	can	AUX
bae-8087	116	3	see	see	VERB
bae-8087	116	4	that	that	SCONJ
bae-8087	116	5	the	the	DET
bae-8087	116	6	correlations	correlation	NOUN
bae-8087	116	7	reflect	reflect	VERB
bae-8087	116	8	the	the	DET
bae-8087	116	9	dgp	dgp	NOUN
bae-8087	116	10	and	and	CCONJ
bae-8087	116	11	,	,	PUNCT
bae-8087	116	12	most	most	ADV
bae-8087	116	13	importantly	importantly	ADV
bae-8087	116	14	,	,	PUNCT
bae-8087	116	15	that	that	SCONJ
bae-8087	116	16	we	we	PRON
bae-8087	116	17	separately	separately	ADV
bae-8087	116	18	control	control	VERB
bae-8087	116	19	for	for	ADP
bae-8087	116	20	differences	difference	NOUN
bae-8087	116	21	in	in	ADP
bae-8087	116	22	the	the	DET
bae-8087	116	23	influence	influence	NOUN
bae-8087	116	24	of	of	ADP
bae-8087	116	25	the	the	DET
bae-8087	116	26	latent	latent	NOUN
bae-8087	116	27	variable	variable	NOUN
bae-8087	116	28	on	on	ADP
bae-8087	116	29	preferences	preference	NOUN
bae-8087	116	30	and	and	CCONJ
bae-8087	116	31	the	the	DET
bae-8087	116	32	indicator	indicator	NOUN
bae-8087	116	33	.	.	PUNCT
bae-8087	117	1	it	it	PRON
bae-8087	117	2	is	be	AUX
bae-8087	117	3	also	also	ADV
bae-8087	117	4	noticeable	noticeable	ADJ
bae-8087	117	5	that	that	SCONJ
bae-8087	117	6	the	the	DET
bae-8087	117	7	latent	latent	NOUN
bae-8087	117	8	variable	variable	NOUN
bae-8087	117	9	has	have	VERB
bae-8087	117	10	a	a	DET
bae-8087	117	11	relatively	relatively	ADV
bae-8087	117	12	stronger	strong	ADJ
bae-8087	117	13	influence	influence	NOUN
bae-8087	117	14	on	on	ADP
bae-8087	117	15	the	the	DET
bae-8087	117	16	area	area	NOUN
bae-8087	117	17	attribute	attribute	NOUN
bae-8087	117	18	,	,	PUNCT
bae-8087	117	19	followed	follow	VERB
bae-8087	117	20	by	by	ADP
bae-8087	117	21	broadleaf	broadleaf	NOUN
bae-8087	117	22	and	and	CCONJ
bae-8087	117	23	,	,	PUNCT
bae-8087	117	24	lastly	lastly	ADV
bae-8087	117	25	,	,	PUNCT
bae-8087	117	26	recreation	recreation	NOUN
bae-8087	117	27	.	.	PUNCT
bae-8087	118	1	this	this	PRON
bae-8087	118	2	is	be	AUX
bae-8087	118	3	a	a	DET
bae-8087	118	4	deliberate	deliberate	ADJ
bae-8087	118	5	artefact	artefact	NOUN
bae-8087	118	6	of	of	ADP
bae-8087	118	7	the	the	DET
bae-8087	118	8	parameters	parameter	NOUN
bae-8087	118	9	we	we	PRON
bae-8087	118	10	used	use	VERB
bae-8087	118	11	in	in	ADP
bae-8087	118	12	dgp	dgp	NOUN
bae-8087	118	13	,	,	PUNCT
bae-8087	118	14	since	since	SCONJ
bae-8087	118	15	it	it	PRON
bae-8087	118	16	allows	allow	VERB
bae-8087	118	17	us	we	PRON
bae-8087	118	18	to	to	PART
bae-8087	118	19	compare	compare	VERB
bae-8087	118	20	the	the	DET
bae-8087	118	21	implications	implication	NOUN
bae-8087	118	22	under	under	ADP
bae-8087	118	23	a	a	DET
bae-8087	118	24	wider	wide	ADJ
bae-8087	118	25	range	range	NOUN
bae-8087	118	26	of	of	ADP
bae-8087	118	27	settings	setting	NOUN
bae-8087	118	28	.	.	PUNCT
bae-8087	119	1	3.2	3.2	NUM
bae-8087	119	2	analysis	analysis	NOUN
bae-8087	119	3	for	for	ADP
bae-8087	119	4	each	each	DET
bae-8087	119	5	dataset	dataset	NOUN
bae-8087	119	6	generated	generate	VERB
bae-8087	119	7	,	,	PUNCT
bae-8087	119	8	we	we	PRON
bae-8087	119	9	estimate	estimate	VERB
bae-8087	119	10	six	six	NUM
bae-8087	119	11	candidate	candidate	NOUN
bae-8087	119	12	models	model	NOUN
bae-8087	119	13	.	.	PUNCT
bae-8087	120	1	this	this	PRON
bae-8087	120	2	includes	include	VERB
bae-8087	120	3	a	a	DET
bae-8087	120	4	random	random	ADJ
bae-8087	120	5	parameters	parameter	NOUN
bae-8087	120	6	mixed	mixed	ADJ
bae-8087	120	7	logit	logit	PROPN
bae-8087	120	8	model	model	NOUN
bae-8087	120	9	(	(	PUNCT
bae-8087	120	10	mxl	mxl	PROPN
bae-8087	120	11	)	)	PUNCT
bae-8087	120	12	,	,	PUNCT
bae-8087	120	13	a	a	DET
bae-8087	120	14	random	random	ADJ
bae-8087	120	15	parameters	parameter	NOUN
bae-8087	120	16	mixed	mixed	ADJ
bae-8087	120	17	logit	logit	PROPN
bae-8087	120	18	model	model	NOUN
bae-8087	120	19	with	with	ADP
bae-8087	120	20	the	the	DET
bae-8087	120	21	indicators	indicator	NOUN
bae-8087	120	22	mapping	map	VERB
bae-8087	120	23	directly	directly	ADV
bae-8087	120	24	to	to	ADP
bae-8087	120	25	the	the	DET
bae-8087	120	26	marginal	marginal	ADJ
bae-8087	120	27	utilities	utility	NOUN
bae-8087	120	28	(	(	PUNCT
bae-8087	120	29	mxlind	mxlind	NOUN
bae-8087	120	30	)	)	PUNCT
bae-8087	120	31	and	and	CCONJ
bae-8087	120	32	a	a	DET
bae-8087	120	33	hybrid	hybrid	ADJ
bae-8087	120	34	random	random	ADJ
bae-8087	120	35	parameters	parameter	NOUN
bae-8087	120	36	mixed	mixed	ADJ
bae-8087	120	37	logit	logit	PROPN
bae-8087	120	38	model	model	NOUN
bae-8087	120	39	(	(	PUNCT
bae-8087	120	40	lvmxl	lvmxl	PROPN
bae-8087	120	41	)	)	PUNCT
bae-8087	120	42	,	,	PUNCT
bae-8087	120	43	that	that	PRON
bae-8087	120	44	matches	match	VERB
bae-8087	120	45	the	the	DET
bae-8087	120	46	dgp	dgp	NOUN
bae-8087	120	47	,	,	PUNCT
bae-8087	120	48	where	where	SCONJ
bae-8087	120	49	the	the	DET
bae-8087	120	50	latent	latent	NOUN
bae-8087	120	51	variable	variable	NOUN
bae-8087	120	52	enters	enter	VERB
bae-8087	120	53	both	both	CCONJ
bae-8087	120	54	the	the	DET
bae-8087	120	55	marginal	marginal	ADJ
bae-8087	120	56	utility	utility	NOUN
bae-8087	120	57	expressions	expression	NOUN
bae-8087	120	58	and	and	CCONJ
bae-8087	120	59	measurement	measurement	NOUN
bae-8087	120	60	equation	equation	NOUN
bae-8087	120	61	relating	relate	VERB
bae-8087	120	62	to	to	ADP
bae-8087	120	63	environmental	environmental	ADJ
bae-8087	120	64	tendency	tendency	NOUN
bae-8087	120	65	.	.	PUNCT
bae-8087	121	1	it	it	PRON
bae-8087	121	2	is	be	AUX
bae-8087	121	3	widely	widely	ADV
bae-8087	121	4	acknowledged	acknowledge	VERB
bae-8087	121	5	that	that	SCONJ
bae-8087	121	6	models	model	NOUN
bae-8087	121	7	relying	rely	VERB
bae-8087	121	8	on	on	ADP
bae-8087	121	9	the	the	DET
bae-8087	121	10	strict	strict	ADJ
bae-8087	121	11	notion	notion	NOUN
bae-8087	121	12	of	of	ADP
bae-8087	121	13	312	312	NUM
bae-8087	121	14	danny	danny	PROPN
bae-8087	121	15	campbell	campbell	PROPN
bae-8087	121	16	,	,	PUNCT
bae-8087	121	17	erlend	erlend	VERB
bae-8087	121	18	dancke	dancke	PROPN
bae-8087	121	19	sandorf	sandorf	PROPN
bae-8087	121	20	ta	ta	X
bae-8087	121	21	bl	bl	PROPN
bae-8087	121	22	e	e	PROPN
bae-8087	121	23	1	1	NUM
bae-8087	121	24	.	.	PUNCT
bae-8087	122	1	p	p	PROPN
bae-8087	122	2	ar	ar	PROPN
bae-8087	122	3	am	be	AUX
bae-8087	122	4	et	et	NOUN
bae-8087	123	1	er	er	INTJ
bae-8087	123	2	s	s	VERB
bae-8087	123	3	us	we	PRON
bae-8087	123	4	ed	ed	NOUN
bae-8087	123	5	in	in	ADP
bae-8087	123	6	th	th	X
bae-8087	123	7	e	e	X
bae-8087	123	8	d	d	X
bae-8087	123	9	g	g	PROPN
bae-8087	123	10	ps	ps	PROPN
bae-8087	123	11	a	a	DET
bae-8087	123	12	nd	nd	NOUN
bae-8087	123	13	m	m	PROPN
bae-8087	123	14	ea	ea	PROPN
bae-8087	123	15	n	n	PROPN
bae-8087	123	16	co	co	PROPN
bae-8087	123	17	rr	rr	PROPN
bae-8087	123	18	el	el	PROPN
bae-8087	123	19	at	at	ADP
bae-8087	123	20	io	io	PROPN
bae-8087	123	21	ns	ns	PROPN
bae-8087	123	22	a	a	PRON
bae-8087	123	23	cr	cr	PROPN
bae-8087	123	24	os	os	PROPN
bae-8087	123	25	s	s	PART
bae-8087	123	26	th	th	X
bae-8087	123	27	e	e	NOUN
bae-8087	123	28	10	10	NUM
bae-8087	123	29	0	0	NUM
bae-8087	123	30	m	m	VERB
bae-8087	123	31	on	on	ADP
bae-8087	123	32	te	te	PROPN
bae-8087	123	33	-c	-c	PUNCT
bae-8087	123	34	ar	ar	PROPN
bae-8087	123	35	lo	lo	PROPN
bae-8087	123	36	s	s	VERB
bae-8087	124	1	i	i	PRON
bae-8087	124	2	m	m	VERB
bae-8087	124	3	ul	ul	INTJ
bae-8087	124	4	at	at	ADP
bae-8087	124	5	io	io	PROPN
bae-8087	124	6	ns	ns	INTJ
bae-8087	124	7	.	.	PUNCT
bae-8087	125	1	313the	313the	DET
bae-8087	125	2	use	use	NOUN
bae-8087	125	3	of	of	ADP
bae-8087	125	4	latent	latent	ADJ
bae-8087	125	5	variable	variable	ADJ
bae-8087	125	6	models	model	NOUN
bae-8087	125	7	in	in	ADP
bae-8087	125	8	policy	policy	NOUN
bae-8087	125	9	:	:	PUNCT
bae-8087	125	10	a	a	DET
bae-8087	125	11	road	road	NOUN
bae-8087	125	12	fraught	fraught	ADJ
bae-8087	125	13	with	with	ADP
bae-8087	125	14	peril	peril	NOUN
bae-8087	125	15	?	?	PUNCT
bae-8087	126	1	independent	independent	ADJ
bae-8087	126	2	random	random	ADJ
bae-8087	126	3	parameters	parameter	NOUN
bae-8087	126	4	can	can	AUX
bae-8087	126	5	be	be	AUX
bae-8087	126	6	inferior	inferior	ADJ
bae-8087	126	7	to	to	ADP
bae-8087	126	8	those	those	PRON
bae-8087	126	9	that	that	DET
bae-8087	126	10	accommodate	accommodate	ADJ
bae-8087	126	11	correlation	correlation	NOUN
bae-8087	126	12	(	(	PUNCT
bae-8087	126	13	mariel	mariel	PROPN
bae-8087	126	14	and	and	CCONJ
bae-8087	126	15	artabe	artabe	ADJ
bae-8087	126	16	,	,	PUNCT
bae-8087	126	17	2020	2020	NUM
bae-8087	126	18	;	;	PUNCT
bae-8087	126	19	mariel	mariel	PROPN
bae-8087	126	20	and	and	CCONJ
bae-8087	126	21	meyerhoff	meyerhoff	NOUN
bae-8087	126	22	,	,	PUNCT
bae-8087	126	23	2018	2018	NUM
bae-8087	126	24	)	)	PUNCT
bae-8087	126	25	.	.	PUNCT
bae-8087	127	1	while	while	SCONJ
bae-8087	127	2	this	this	DET
bae-8087	127	3	correlation	correlation	NOUN
bae-8087	127	4	can	can	AUX
bae-8087	127	5	stem	stem	VERB
bae-8087	127	6	from	from	ADP
bae-8087	127	7	observable	observable	ADJ
bae-8087	127	8	characteristics	characteristic	NOUN
bae-8087	127	9	(	(	PUNCT
bae-8087	127	10	e.g.	e.g.	ADV
bae-8087	127	11	 	 	SPACE
bae-8087	127	12	gender	gender	NOUN
bae-8087	127	13	,	,	PUNCT
bae-8087	127	14	age	age	NOUN
bae-8087	127	15	and	and	CCONJ
bae-8087	127	16	income	income	NOUN
bae-8087	127	17	)	)	PUNCT
bae-8087	127	18	,	,	PUNCT
bae-8087	127	19	it	it	PRON
bae-8087	127	20	may	may	AUX
bae-8087	127	21	also	also	ADV
bae-8087	127	22	be	be	AUX
bae-8087	127	23	an	an	DET
bae-8087	127	24	artefact	artefact	NOUN
bae-8087	127	25	of	of	ADP
bae-8087	127	26	unobserved	unobserved	ADJ
bae-8087	127	27	latent	latent	NOUN
bae-8087	127	28	variables	variable	NOUN
bae-8087	127	29	.	.	PUNCT
bae-8087	128	1	the	the	DET
bae-8087	128	2	importance	importance	NOUN
bae-8087	128	3	of	of	ADP
bae-8087	128	4	this	this	DET
bae-8087	128	5	latter	latter	ADJ
bae-8087	128	6	point	point	NOUN
bae-8087	128	7	is	be	AUX
bae-8087	128	8	often	often	ADV
bae-8087	128	9	not	not	PART
bae-8087	128	10	fully	fully	ADV
bae-8087	128	11	appreciated	appreciate	VERB
bae-8087	128	12	.	.	PUNCT
bae-8087	129	1	indeed	indeed	ADV
bae-8087	129	2	,	,	PUNCT
bae-8087	129	3	a	a	DET
bae-8087	129	4	pertinent	pertinent	ADJ
bae-8087	129	5	question	question	NOUN
bae-8087	129	6	is	be	AUX
bae-8087	129	7	whether	whether	SCONJ
bae-8087	129	8	or	or	CCONJ
bae-8087	129	9	not	not	PART
bae-8087	129	10	—	—	PUNCT
bae-8087	129	11	and	and	CCONJ
bae-8087	129	12	in	in	ADP
bae-8087	129	13	what	what	DET
bae-8087	129	14	settings	setting	NOUN
bae-8087	129	15	—	—	PUNCT
bae-8087	129	16	allowing	allow	VERB
bae-8087	129	17	for	for	ADP
bae-8087	129	18	correlation	correlation	NOUN
bae-8087	129	19	is	be	AUX
bae-8087	129	20	an	an	DET
bae-8087	129	21	acceptable	acceptable	ADJ
bae-8087	129	22	substitute	substitute	NOUN
bae-8087	129	23	for	for	ADP
bae-8087	129	24	hybrid	hybrid	ADJ
bae-8087	129	25	latent	latent	NOUN
bae-8087	129	26	variable	variable	NOUN
bae-8087	129	27	models	model	NOUN
bae-8087	129	28	and	and	CCONJ
bae-8087	129	29	,	,	PUNCT
bae-8087	129	30	conversely	conversely	ADV
bae-8087	129	31	,	,	PUNCT
bae-8087	129	32	if	if	SCONJ
bae-8087	129	33	it	it	PRON
bae-8087	129	34	is	be	AUX
bae-8087	129	35	possible	possible	ADJ
bae-8087	129	36	to	to	PART
bae-8087	129	37	say	say	VERB
bae-8087	129	38	anything	anything	PRON
bae-8087	129	39	about	about	ADP
bae-8087	129	40	the	the	DET
bae-8087	129	41	potential	potential	ADJ
bae-8087	129	42	aptness	aptness	NOUN
bae-8087	129	43	of	of	ADP
bae-8087	129	44	considering	consider	VERB
bae-8087	129	45	a	a	DET
bae-8087	129	46	hybrid	hybrid	ADJ
bae-8087	129	47	latent	latent	NOUN
bae-8087	129	48	variable	variable	ADJ
bae-8087	129	49	model	model	NOUN
bae-8087	129	50	based	base	VERB
bae-8087	129	51	on	on	ADP
bae-8087	129	52	an	an	DET
bae-8087	129	53	inspection	inspection	NOUN
bae-8087	129	54	of	of	ADP
bae-8087	129	55	the	the	DET
bae-8087	129	56	correlation	correlation	NOUN
bae-8087	129	57	structure	structure	NOUN
bae-8087	129	58	of	of	ADP
bae-8087	129	59	random	random	ADJ
bae-8087	129	60	parameters	parameter	NOUN
bae-8087	129	61	.	.	PUNCT
bae-8087	130	1	to	to	PART
bae-8087	130	2	explore	explore	VERB
bae-8087	130	3	these	these	DET
bae-8087	130	4	issues	issue	NOUN
bae-8087	130	5	we	we	PRON
bae-8087	130	6	also	also	ADV
bae-8087	130	7	estimate	estimate	VERB
bae-8087	130	8	the	the	DET
bae-8087	130	9	corresponding	correspond	VERB
bae-8087	130	10	models	model	NOUN
bae-8087	130	11	that	that	PRON
bae-8087	130	12	allow	allow	VERB
bae-8087	130	13	for	for	ADP
bae-8087	130	14	correlated	correlate	VERB
bae-8087	130	15	random	random	ADJ
bae-8087	130	16	parameters	parameter	NOUN
bae-8087	130	17	(	(	PUNCT
bae-8087	130	18	mxl	mxl	PROPN
bae-8087	130	19	-	-	PUNCT
bae-8087	130	20	corr	corr	PROPN
bae-8087	130	21	,	,	PUNCT
bae-8087	130	22	mxlind	mxlind	NOUN
bae-8087	130	23	-	-	PUNCT
bae-8087	130	24	corr	corr	PROPN
bae-8087	130	25	and	and	CCONJ
bae-8087	130	26	lvmxl	lvmxl	PROPN
bae-8087	130	27	-	-	PUNCT
bae-8087	130	28	corr	corr	PROPN
bae-8087	130	29	,	,	PUNCT
bae-8087	130	30	respectively	respectively	ADV
bae-8087	130	31	)	)	PUNCT
bae-8087	130	32	.	.	PUNCT
bae-8087	131	1	estimating	estimate	VERB
bae-8087	131	2	all	all	DET
bae-8087	131	3	six	six	NUM
bae-8087	131	4	candidate	candidate	NOUN
bae-8087	131	5	models	model	NOUN
bae-8087	131	6	allows	allow	VERB
bae-8087	131	7	us	we	PRON
bae-8087	131	8	to	to	PART
bae-8087	131	9	compare	compare	VERB
bae-8087	131	10	the	the	DET
bae-8087	131	11	effects	effect	NOUN
bae-8087	131	12	under	under	ADP
bae-8087	131	13	correctly	correctly	ADV
bae-8087	131	14	specified	specify	VERB
bae-8087	131	15	and	and	CCONJ
bae-8087	131	16	misspecified	misspecifie	VERB
bae-8087	131	17	cases	case	NOUN
bae-8087	131	18	and	and	CCONJ
bae-8087	131	19	to	to	PART
bae-8087	131	20	make	make	VERB
bae-8087	131	21	inferences	inference	NOUN
bae-8087	131	22	regarding	regard	VERB
bae-8087	131	23	the	the	DET
bae-8087	131	24	consequences	consequence	NOUN
bae-8087	131	25	of	of	ADP
bae-8087	131	26	the	the	DET
bae-8087	131	27	naïve	naïve	ADJ
bae-8087	131	28	assumption(s	assumption(s	NOUN
bae-8087	131	29	)	)	PUNCT
bae-8087	131	30	.	.	PUNCT
bae-8087	132	1	combined	combine	VERB
bae-8087	132	2	,	,	PUNCT
bae-8087	132	3	this	this	PRON
bae-8087	132	4	leads	lead	VERB
bae-8087	132	5	to	to	ADP
bae-8087	132	6	a	a	DET
bae-8087	132	7	total	total	NOUN
bae-8087	132	8	of	of	ADP
bae-8087	132	9	15,000	15,000	NUM
bae-8087	132	10	mixed	mixed	ADJ
bae-8087	132	11	logit	logit	NOUN
bae-8087	132	12	models	model	NOUN
bae-8087	132	13	to	to	PART
bae-8087	132	14	estimate	estimate	VERB
bae-8087	132	15	(	(	PUNCT
bae-8087	132	16	i.e.	i.e.	X
bae-8087	132	17	 	 	SPACE
bae-8087	132	18	25	25	NUM
bae-8087	132	19	simulation	simulation	NOUN
bae-8087	132	20	treatments	treatment	NOUN
bae-8087	132	21	times	time	NOUN
bae-8087	132	22	100	100	NUM
bae-8087	132	23	replications	replication	NOUN
bae-8087	132	24	times	time	NOUN
bae-8087	132	25	six	six	NUM
bae-8087	132	26	model	model	NOUN
bae-8087	132	27	specifications	specification	NOUN
bae-8087	132	28	)	)	PUNCT
bae-8087	132	29	.	.	PUNCT
bae-8087	133	1	all	all	DET
bae-8087	133	2	models	model	NOUN
bae-8087	133	3	are	be	AUX
bae-8087	133	4	coded	code	VERB
bae-8087	133	5	and	and	CCONJ
bae-8087	133	6	estimated	estimate	VERB
bae-8087	133	7	using	use	VERB
bae-8087	133	8	the	the	DET
bae-8087	133	9	maxlik	maxlik	ADJ
bae-8087	133	10	library	library	NOUN
bae-8087	133	11	in	in	ADP
bae-8087	133	12	r	r	NOUN
bae-8087	133	13	(	(	PUNCT
bae-8087	133	14	see	see	VERB
bae-8087	133	15	henningsen	henningsen	NOUN
bae-8087	133	16	and	and	CCONJ
bae-8087	133	17	toomet	toomet	VERB
bae-8087	133	18	(	(	PUNCT
bae-8087	133	19	2011	2011	NUM
bae-8087	133	20	)	)	PUNCT
bae-8087	133	21	and	and	CCONJ
bae-8087	133	22	r	r	NOUN
bae-8087	133	23	core	core	NOUN
bae-8087	133	24	team	team	NOUN
bae-8087	133	25	(	(	PUNCT
bae-8087	133	26	2020	2020	NUM
bae-8087	133	27	)	)	PUNCT
bae-8087	133	28	for	for	ADP
bae-8087	133	29	further	further	ADJ
bae-8087	133	30	details	detail	NOUN
bae-8087	133	31	)	)	PUNCT
bae-8087	133	32	.	.	PUNCT
bae-8087	134	1	we	we	PRON
bae-8087	134	2	used	use	VERB
bae-8087	134	3	maximum	maximum	ADJ
bae-8087	134	4	simulated	simulate	VERB
bae-8087	134	5	likelihood	likelihood	NOUN
bae-8087	134	6	estimation	estimation	NOUN
bae-8087	134	7	using	use	VERB
bae-8087	134	8	500	500	NUM
bae-8087	134	9	quasi	quasi	ADJ
bae-8087	134	10	-	-	ADJ
bae-8087	134	11	random	random	ADJ
bae-8087	134	12	scrambled	scramble	VERB
bae-8087	134	13	sobol	sobol	NOUN
bae-8087	134	14	sequences	sequence	NOUN
bae-8087	134	15	for	for	ADP
bae-8087	134	16	the	the	DET
bae-8087	134	17	simulation	simulation	NOUN
bae-8087	134	18	of	of	ADP
bae-8087	134	19	the	the	DET
bae-8087	134	20	random	random	ADJ
bae-8087	134	21	parameters	parameter	NOUN
bae-8087	134	22	and	and	CCONJ
bae-8087	134	23	latent	latent	NOUN
bae-8087	134	24	variable	variable	NOUN
bae-8087	134	25	.	.	PUNCT
bae-8087	135	1	for	for	ADP
bae-8087	135	2	all	all	DET
bae-8087	135	3	models	model	NOUN
bae-8087	135	4	,	,	PUNCT
bae-8087	135	5	we	we	PRON
bae-8087	135	6	started	start	VERB
bae-8087	135	7	the	the	DET
bae-8087	135	8	estimation	estimation	NOUN
bae-8087	135	9	iterations	iteration	NOUN
bae-8087	135	10	using	use	VERB
bae-8087	135	11	the	the	DET
bae-8087	135	12	parameters	parameter	NOUN
bae-8087	135	13	that	that	PRON
bae-8087	135	14	were	be	AUX
bae-8087	135	15	specified	specify	VERB
bae-8087	135	16	as	as	ADP
bae-8087	135	17	part	part	NOUN
bae-8087	135	18	of	of	ADP
bae-8087	135	19	the	the	DET
bae-8087	135	20	dgp	dgp	NOUN
bae-8087	135	21	.	.	PUNCT
bae-8087	136	1	4	4	NUM
bae-8087	136	2	.	.	NOUN
bae-8087	136	3	results	result	NOUN
bae-8087	136	4	in	in	ADP
bae-8087	136	5	table	table	NOUN
bae-8087	136	6	2	2	NUM
bae-8087	136	7	,	,	PUNCT
bae-8087	136	8	we	we	PRON
bae-8087	136	9	show	show	VERB
bae-8087	136	10	the	the	DET
bae-8087	136	11	mean	mean	ADJ
bae-8087	136	12	difference	difference	NOUN
bae-8087	136	13	in	in	ADP
bae-8087	136	14	log	log	NOUN
bae-8087	136	15	-	-	PUNCT
bae-8087	136	16	likelihood	likelihood	NOUN
bae-8087	136	17	for	for	ADP
bae-8087	136	18	all	all	DET
bae-8087	136	19	25	25	NUM
bae-8087	136	20	dgps	dgps	PROPN
bae-8087	136	21	over	over	ADP
bae-8087	136	22	the	the	DET
bae-8087	136	23	100	100	NUM
bae-8087	136	24	simulated	simulated	ADJ
bae-8087	136	25	monte	monte	PROPN
bae-8087	136	26	-	-	PUNCT
bae-8087	136	27	carlo	carlo	NOUN
bae-8087	136	28	datasets	dataset	NOUN
bae-8087	136	29	,	,	PUNCT
bae-8087	136	30	and	and	CCONJ
bae-8087	136	31	the	the	DET
bae-8087	136	32	corresponding	correspond	VERB
bae-8087	136	33	2.5th	2.5th	PROPN
bae-8087	136	34	and	and	CCONJ
bae-8087	136	35	97.5th	97.5th	ADJ
bae-8087	136	36	percentiles	percentile	NOUN
bae-8087	136	37	.	.	PUNCT
bae-8087	137	1	note	note	VERB
bae-8087	137	2	that	that	SCONJ
bae-8087	137	3	for	for	ADP
bae-8087	137	4	the	the	DET
bae-8087	137	5	latent	latent	ADJ
bae-8087	137	6	variable	variable	NOUN
bae-8087	137	7	models	model	NOUN
bae-8087	137	8	we	we	PRON
bae-8087	137	9	focus	focus	VERB
bae-8087	137	10	only	only	ADV
bae-8087	137	11	on	on	ADP
bae-8087	137	12	the	the	DET
bae-8087	137	13	fit	fit	NOUN
bae-8087	137	14	of	of	ADP
bae-8087	137	15	the	the	DET
bae-8087	137	16	choice	choice	NOUN
bae-8087	137	17	model	model	NOUN
bae-8087	137	18	component	component	NOUN
bae-8087	137	19	,	,	PUNCT
bae-8087	137	20	which	which	PRON
bae-8087	137	21	we	we	PRON
bae-8087	137	22	denote	denote	VERB
bae-8087	137	23	using	use	VERB
bae-8087	137	24	ll	ll	NOUN
bae-8087	137	25	*	*	PUNCT
bae-8087	137	26	.	.	PUNCT
bae-8087	138	1	first	first	ADV
bae-8087	138	2	,	,	PUNCT
bae-8087	138	3	and	and	CCONJ
bae-8087	138	4	unsurprisingly	unsurprisingly	ADV
bae-8087	138	5	,	,	PUNCT
bae-8087	138	6	in	in	ADP
bae-8087	138	7	accordance	accordance	NOUN
bae-8087	138	8	with	with	ADP
bae-8087	138	9	mariel	mariel	PROPN
bae-8087	138	10	and	and	CCONJ
bae-8087	138	11	meyerhoff	meyerhoff	NOUN
bae-8087	138	12	(	(	PUNCT
bae-8087	138	13	2018	2018	NUM
bae-8087	138	14	)	)	PUNCT
bae-8087	138	15	,	,	PUNCT
bae-8087	138	16	we	we	PRON
bae-8087	138	17	see	see	VERB
bae-8087	138	18	that	that	SCONJ
bae-8087	138	19	the	the	DET
bae-8087	138	20	models	model	NOUN
bae-8087	138	21	allowing	allow	VERB
bae-8087	138	22	for	for	ADP
bae-8087	138	23	correlations	correlation	NOUN
bae-8087	138	24	between	between	ADP
bae-8087	138	25	the	the	DET
bae-8087	138	26	random	random	ADJ
bae-8087	138	27	parameters	parameter	NOUN
bae-8087	138	28	fits	fit	VERB
bae-8087	138	29	the	the	DET
bae-8087	138	30	data	datum	NOUN
bae-8087	138	31	better	well	ADV
bae-8087	138	32	,	,	PUNCT
bae-8087	138	33	i.e.	i.e.	X
bae-8087	138	34	 	 	SPACE
bae-8087	138	35	produces	produce	VERB
bae-8087	138	36	higher	high	ADJ
bae-8087	138	37	log	log	NOUN
bae-8087	138	38	-	-	PUNCT
bae-8087	138	39	likelihood	likelihood	NOUN
bae-8087	138	40	values	value	NOUN
bae-8087	138	41	.	.	PUNCT
bae-8087	139	1	this	this	DET
bae-8087	139	2	result	result	NOUN
bae-8087	139	3	holds	hold	VERB
bae-8087	139	4	for	for	ADP
bae-8087	139	5	all	all	DET
bae-8087	139	6	three	three	NUM
bae-8087	139	7	model	model	NOUN
bae-8087	139	8	specifications	specification	NOUN
bae-8087	139	9	.	.	PUNCT
bae-8087	140	1	however	however	ADV
bae-8087	140	2	,	,	PUNCT
bae-8087	140	3	we	we	PRON
bae-8087	140	4	do	do	AUX
bae-8087	140	5	note	note	VERB
bae-8087	140	6	that	that	SCONJ
bae-8087	140	7	the	the	DET
bae-8087	140	8	improvements	improvement	NOUN
bae-8087	140	9	in	in	ADP
bae-8087	140	10	log	log	NOUN
bae-8087	140	11	-	-	PUNCT
bae-8087	140	12	likelihood	likelihood	NOUN
bae-8087	140	13	reported	report	VERB
bae-8087	140	14	here	here	ADV
bae-8087	140	15	do	do	AUX
bae-8087	140	16	not	not	PART
bae-8087	140	17	penalise	penalise	VERB
bae-8087	140	18	for	for	ADP
bae-8087	140	19	the	the	DET
bae-8087	140	20	increased	increase	VERB
bae-8087	140	21	number	number	NOUN
bae-8087	140	22	of	of	ADP
bae-8087	140	23	parameters	parameter	NOUN
bae-8087	140	24	.	.	PUNCT
bae-8087	141	1	second	second	ADJ
bae-8087	141	2	,	,	PUNCT
bae-8087	141	3	including	include	VERB
bae-8087	141	4	the	the	DET
bae-8087	141	5	indicator	indicator	NOUN
bae-8087	141	6	directly	directly	ADV
bae-8087	141	7	in	in	ADP
bae-8087	141	8	the	the	DET
bae-8087	141	9	utility	utility	NOUN
bae-8087	141	10	expression	expression	NOUN
bae-8087	141	11	leads	lead	VERB
bae-8087	141	12	to	to	ADP
bae-8087	141	13	better	well	ADJ
bae-8087	141	14	choice	choice	NOUN
bae-8087	141	15	predictions	prediction	NOUN
bae-8087	141	16	.	.	PUNCT
bae-8087	142	1	referring	refer	VERB
bae-8087	142	2	back	back	ADV
bae-8087	142	3	to	to	ADP
bae-8087	142	4	the	the	DET
bae-8087	142	5	correlations	correlation	NOUN
bae-8087	142	6	between	between	ADP
bae-8087	142	7	the	the	DET
bae-8087	142	8	indicator	indicator	NOUN
bae-8087	142	9	and	and	CCONJ
bae-8087	142	10	latent	latent	ADJ
bae-8087	142	11	variable	variable	NOUN
bae-8087	142	12	for	for	ADP
bae-8087	142	13	each	each	DET
bae-8087	142	14	dgp	dgp	NOUN
bae-8087	142	15	in	in	ADP
bae-8087	142	16	table	table	NOUN
bae-8087	142	17	1	1	NUM
bae-8087	142	18	,	,	PUNCT
bae-8087	142	19	we	we	PRON
bae-8087	142	20	see	see	VERB
bae-8087	142	21	that	that	SCONJ
bae-8087	142	22	this	this	DET
bae-8087	142	23	improvement	improvement	NOUN
bae-8087	142	24	in	in	ADP
bae-8087	142	25	model	model	NOUN
bae-8087	142	26	fit	fit	NOUN
bae-8087	142	27	is	be	AUX
bae-8087	142	28	increasing	increase	VERB
bae-8087	142	29	in	in	ADP
bae-8087	142	30	the	the	DET
bae-8087	142	31	degree	degree	NOUN
bae-8087	142	32	of	of	ADP
bae-8087	142	33	correlation	correlation	NOUN
bae-8087	142	34	between	between	ADP
bae-8087	142	35	the	the	DET
bae-8087	142	36	two	two	NUM
bae-8087	142	37	(	(	PUNCT
bae-8087	142	38	i.e.	i.e.	X
bae-8087	142	39	ρwk	ρwk	X
bae-8087	142	40	,	,	PUNCT
bae-8087	142	41	i	i	PRON
bae-8087	142	42	*	*	NOUN
bae-8087	142	43	)	)	PUNCT
bae-8087	142	44	.	.	PUNCT
bae-8087	143	1	the	the	DET
bae-8087	143	2	most	most	ADV
bae-8087	143	3	important	important	ADJ
bae-8087	143	4	take	take	NOUN
bae-8087	143	5	-	-	PUNCT
bae-8087	143	6	away	away	NOUN
bae-8087	143	7	from	from	ADP
bae-8087	143	8	this	this	PRON
bae-8087	143	9	is	be	AUX
bae-8087	143	10	that	that	SCONJ
bae-8087	143	11	we	we	PRON
bae-8087	143	12	find	find	VERB
bae-8087	143	13	that	that	SCONJ
bae-8087	143	14	the	the	DET
bae-8087	143	15	reduced	reduce	VERB
bae-8087	143	16	form	form	NOUN
bae-8087	143	17	model	model	NOUN
bae-8087	143	18	without	without	ADP
bae-8087	143	19	the	the	DET
bae-8087	143	20	latent	latent	NOUN
bae-8087	143	21	variable	variable	NOUN
bae-8087	143	22	fits	fit	VERB
bae-8087	143	23	the	the	DET
bae-8087	143	24	data	datum	NOUN
bae-8087	143	25	equally	equally	ADV
bae-8087	143	26	well	well	ADV
bae-8087	143	27	,	,	PUNCT
bae-8087	143	28	which	which	PRON
bae-8087	143	29	is	be	AUX
bae-8087	143	30	consistent	consistent	ADJ
bae-8087	143	31	with	with	ADP
bae-8087	143	32	vij	vij	PROPN
bae-8087	143	33	and	and	CCONJ
bae-8087	143	34	walker	walker	NOUN
bae-8087	143	35	(	(	PUNCT
bae-8087	143	36	2016	2016	NUM
bae-8087	143	37	)	)	PUNCT
bae-8087	143	38	.	.	PUNCT
bae-8087	144	1	this	this	DET
bae-8087	144	2	fact	fact	NOUN
bae-8087	144	3	really	really	ADV
bae-8087	144	4	brings	bring	VERB
bae-8087	144	5	the	the	DET
bae-8087	144	6	question	question	NOUN
bae-8087	144	7	of	of	ADP
bae-8087	144	8	what	what	PRON
bae-8087	144	9	the	the	DET
bae-8087	144	10	additional	additional	ADJ
bae-8087	144	11	benefit	benefit	NOUN
bae-8087	144	12	of	of	ADP
bae-8087	144	13	a	a	DET
bae-8087	144	14	hybrid	hybrid	ADJ
bae-8087	144	15	choice	choice	NOUN
bae-8087	144	16	model	model	NOUN
bae-8087	144	17	is	be	AUX
bae-8087	144	18	in	in	ADP
bae-8087	144	19	many	many	ADJ
bae-8087	144	20	contexts	context	NOUN
bae-8087	144	21	to	to	ADP
bae-8087	144	22	the	the	DET
bae-8087	144	23	forefront	forefront	NOUN
bae-8087	144	24	.	.	PUNCT
bae-8087	145	1	moving	move	VERB
bae-8087	145	2	beyond	beyond	ADP
bae-8087	145	3	model	model	NOUN
bae-8087	145	4	fit	fit	NOUN
bae-8087	145	5	is	be	AUX
bae-8087	145	6	necessary	necessary	ADJ
bae-8087	145	7	to	to	PART
bae-8087	145	8	fully	fully	ADV
bae-8087	145	9	understand	understand	VERB
bae-8087	145	10	what	what	PRON
bae-8087	145	11	is	be	AUX
bae-8087	145	12	going	go	VERB
bae-8087	145	13	on	on	ADP
bae-8087	145	14	.	.	PUNCT
bae-8087	146	1	while	while	SCONJ
bae-8087	146	2	the	the	DET
bae-8087	146	3	reduced	reduce	VERB
bae-8087	146	4	form	form	NOUN
bae-8087	146	5	models	model	NOUN
bae-8087	146	6	do	do	VERB
bae-8087	146	7	“	"	PUNCT
bae-8087	146	8	just	just	ADV
bae-8087	146	9	as	as	ADV
bae-8087	146	10	well	well	ADV
bae-8087	146	11	”	"	PUNCT
bae-8087	146	12	at	at	ADP
bae-8087	146	13	predicting	predict	VERB
bae-8087	146	14	the	the	DET
bae-8087	146	15	chosen	choose	VERB
bae-8087	146	16	alternative	alternative	NOUN
bae-8087	146	17	,	,	PUNCT
bae-8087	146	18	do	do	AUX
bae-8087	146	19	they	they	PRON
bae-8087	146	20	also	also	ADV
bae-8087	146	21	retrieve	retrieve	VERB
bae-8087	146	22	unbiased	unbiased	ADJ
bae-8087	146	23	and	and	CCONJ
bae-8087	146	24	consistent	consistent	ADJ
bae-8087	146	25	estimates	estimate	NOUN
bae-8087	146	26	of	of	ADP
bae-8087	146	27	the	the	DET
bae-8087	146	28	parameters	parameter	NOUN
bae-8087	146	29	and	and	CCONJ
bae-8087	146	30	welfare	welfare	NOUN
bae-8087	146	31	measures	measure	NOUN
bae-8087	146	32	?	?	PUNCT
bae-8087	147	1	to	to	PART
bae-8087	147	2	explore	explore	VERB
bae-8087	147	3	this	this	PRON
bae-8087	147	4	,	,	PUNCT
bae-8087	147	5	in	in	ADP
bae-8087	147	6	table	table	NOUN
bae-8087	147	7	3	3	NUM
bae-8087	147	8	and	and	CCONJ
bae-8087	147	9	table	table	NOUN
bae-8087	147	10	4	4	NUM
bae-8087	147	11	we	we	PRON
bae-8087	147	12	show	show	VERB
bae-8087	147	13	the	the	DET
bae-8087	147	14	degree	degree	NOUN
bae-8087	147	15	of	of	ADP
bae-8087	147	16	bias	bias	NOUN
bae-8087	147	17	in	in	ADP
bae-8087	147	18	the	the	DET
bae-8087	147	19	parameters	parameter	NOUN
bae-8087	147	20	associated	associate	VERB
bae-8087	147	21	with	with	ADP
bae-8087	147	22	the	the	DET
bae-8087	147	23	latent	latent	NOUN
bae-8087	147	24	variable	variable	NOUN
bae-8087	147	25	:	:	PUNCT
bae-8087	147	26	specifically	specifically	ADV
bae-8087	147	27	,	,	PUNCT
bae-8087	147	28	with	with	ADP
bae-8087	147	29	table	table	NOUN
bae-8087	147	30	3	3	NUM
bae-8087	147	31	and	and	CCONJ
bae-8087	147	32	table	table	NOUN
bae-8087	147	33	4	4	NUM
bae-8087	147	34	comparing	compare	VERB
bae-8087	147	35	the	the	DET
bae-8087	147	36	mean	mean	NOUN
bae-8087	147	37	error	error	NOUN
bae-8087	147	38	(	(	PUNCT
bae-8087	147	39	i.e.	i.e.	X
bae-8087	147	40	  	  	SPACE
bae-8087	147	41	the	the	DET
bae-8087	147	42	mean	mean	NOUN
bae-8087	147	43	of	of	ADP
bae-8087	147	44	all	all	DET
bae-8087	147	45	differences	difference	NOUN
bae-8087	147	46	between	between	ADP
bae-8087	147	47	the	the	DET
bae-8087	147	48	estimated	estimate	VERB
bae-8087	147	49	values	value	NOUN
bae-8087	147	50	and	and	CCONJ
bae-8087	147	51	the	the	DET
bae-8087	147	52	true	true	ADJ
bae-8087	147	53	value	value	NOUN
bae-8087	147	54	for	for	ADP
bae-8087	147	55	each	each	DET
bae-8087	147	56	data	datum	NOUN
bae-8087	147	57	generation	generation	NOUN
bae-8087	147	58	setting	setting	NOUN
bae-8087	147	59	)	)	PUNCT
bae-8087	147	60	and	and	CCONJ
bae-8087	147	61	the	the	DET
bae-8087	147	62	corresponding	correspond	VERB
bae-8087	147	63	2.5th	2.5th	PROPN
bae-8087	147	64	and	and	CCONJ
bae-8087	147	65	97.5th	97.5th	ADJ
bae-8087	147	66	percentiles	percentile	NOUN
bae-8087	147	67	for	for	ADP
bae-8087	147	68	the	the	DET
bae-8087	147	69	models	model	NOUN
bae-8087	147	70	without	without	ADP
bae-8087	147	71	and	and	CCONJ
bae-8087	147	72	with	with	ADP
bae-8087	147	73	correlations	correlation	NOUN
bae-8087	147	74	,	,	PUNCT
bae-8087	147	75	respectively	respectively	ADV
bae-8087	147	76	.	.	PUNCT
bae-8087	148	1	we	we	PRON
bae-8087	148	2	report	report	VERB
bae-8087	148	3	the	the	DET
bae-8087	148	4	absolute	absolute	ADJ
bae-8087	148	5	bias	bias	NOUN
bae-8087	148	6	,	,	PUNCT
bae-8087	148	7	but	but	CCONJ
bae-8087	148	8	rela314	rela314	PROPN
bae-8087	148	9	danny	danny	PROPN
bae-8087	148	10	campbell	campbell	PROPN
bae-8087	148	11	,	,	PUNCT
bae-8087	148	12	erlend	erlend	VERB
bae-8087	148	13	dancke	dancke	PROPN
bae-8087	148	14	sandorf	sandorf	PROPN
bae-8087	148	15	tive	tive	PROPN
bae-8087	148	16	bias	bias	NOUN
bae-8087	148	17	can	can	AUX
bae-8087	148	18	be	be	AUX
bae-8087	148	19	assessed	assess	VERB
bae-8087	148	20	by	by	ADP
bae-8087	148	21	referring	refer	VERB
bae-8087	148	22	back	back	ADV
bae-8087	148	23	to	to	ADP
bae-8087	148	24	the	the	DET
bae-8087	148	25	true	true	ADJ
bae-8087	148	26	parameters	parameter	NOUN
bae-8087	148	27	associated	associate	VERB
bae-8087	148	28	with	with	ADP
bae-8087	148	29	any	any	DET
bae-8087	148	30	given	give	VERB
bae-8087	148	31	dgp	dgp	NOUN
bae-8087	148	32	in	in	ADP
bae-8087	148	33	table	table	NOUN
bae-8087	148	34	1	1	NUM
bae-8087	148	35	.	.	PUNCT
bae-8087	149	1	nonetheless	nonetheless	ADV
bae-8087	149	2	,	,	PUNCT
bae-8087	149	3	the	the	DET
bae-8087	149	4	tables	table	NOUN
bae-8087	149	5	are	be	AUX
bae-8087	149	6	useful	useful	ADJ
bae-8087	149	7	to	to	PART
bae-8087	149	8	compare	compare	VERB
bae-8087	149	9	the	the	DET
bae-8087	149	10	different	different	ADJ
bae-8087	149	11	dgps	dgps	PROPN
bae-8087	149	12	and	and	CCONJ
bae-8087	149	13	signing	sign	VERB
bae-8087	149	14	the	the	DET
bae-8087	149	15	bias	bias	NOUN
bae-8087	149	16	.	.	PUNCT
bae-8087	150	1	first	first	ADV
bae-8087	150	2	,	,	PUNCT
bae-8087	150	3	looking	look	VERB
bae-8087	150	4	at	at	ADP
bae-8087	150	5	table	table	NOUN
bae-8087	150	6	3	3	NUM
bae-8087	150	7	,	,	PUNCT
bae-8087	150	8	the	the	DET
bae-8087	150	9	most	most	ADV
bae-8087	150	10	striking	striking	ADJ
bae-8087	150	11	result	result	NOUN
bae-8087	150	12	is	be	AUX
bae-8087	150	13	that	that	SCONJ
bae-8087	150	14	,	,	PUNCT
bae-8087	150	15	in	in	ADP
bae-8087	150	16	general	general	ADJ
bae-8087	150	17	,	,	PUNCT
bae-8087	150	18	the	the	DET
bae-8087	150	19	standard	standard	ADJ
bae-8087	150	20	deviation	deviation	NOUN
bae-8087	150	21	of	of	ADP
bae-8087	150	22	the	the	DET
bae-8087	150	23	latent	latent	NOUN
bae-8087	150	24	variable	variable	NOUN
bae-8087	150	25	is	be	AUX
bae-8087	150	26	underestimated	underestimate	VERB
bae-8087	150	27	(	(	PUNCT
bae-8087	150	28	first	first	ADJ
bae-8087	150	29	column	column	NOUN
bae-8087	150	30	)	)	PUNCT
bae-8087	150	31	,	,	PUNCT
bae-8087	150	32	the	the	DET
bae-8087	150	33	parameters	parameter	NOUN
bae-8087	150	34	for	for	ADP
bae-8087	150	35	cost	cost	NOUN
bae-8087	150	36	and	and	CCONJ
bae-8087	150	37	recreation	recreation	NOUN
bae-8087	150	38	are	be	AUX
bae-8087	150	39	overestimated	overestimate	VERB
bae-8087	150	40	while	while	SCONJ
bae-8087	150	41	those	those	PRON
bae-8087	150	42	for	for	ADP
bae-8087	150	43	area	area	NOUN
bae-8087	150	44	and	and	CCONJ
bae-8087	150	45	broadleaf	broadleaf	NOUN
bae-8087	150	46	are	be	AUX
bae-8087	150	47	(	(	PUNCT
bae-8087	150	48	for	for	ADP
bae-8087	150	49	the	the	DET
bae-8087	150	50	most	most	ADJ
bae-8087	150	51	part	part	NOUN
bae-8087	150	52	)	)	PUNCT
bae-8087	150	53	underestimated	underestimate	VERB
bae-8087	150	54	.	.	PUNCT
bae-8087	151	1	we	we	PRON
bae-8087	151	2	also	also	ADV
bae-8087	151	3	remark	remark	VERB
bae-8087	151	4	that	that	SCONJ
bae-8087	151	5	the	the	DET
bae-8087	151	6	latent	latent	ADJ
bae-8087	151	7	variable	variable	ADJ
bae-8087	151	8	interaction	interaction	NOUN
bae-8087	151	9	with	with	ADP
bae-8087	151	10	the	the	DET
bae-8087	151	11	indicator	indicator	NOUN
bae-8087	151	12	shows	show	VERB
bae-8087	151	13	a	a	DET
bae-8087	151	14	high	high	ADJ
bae-8087	151	15	degree	degree	NOUN
bae-8087	151	16	of	of	ADP
bae-8087	151	17	bias	bias	NOUN
bae-8087	151	18	for	for	ADP
bae-8087	151	19	all	all	DET
bae-8087	151	20	simulation	simulation	NOUN
bae-8087	151	21	settings	setting	NOUN
bae-8087	151	22	.	.	PUNCT
bae-8087	152	1	indeed	indeed	ADV
bae-8087	152	2	,	,	PUNCT
bae-8087	152	3	in	in	ADP
bae-8087	152	4	situations	situation	NOUN
bae-8087	152	5	where	where	SCONJ
bae-8087	152	6	ψ=0	ψ=0	NOUN
bae-8087	152	7	we	we	PRON
bae-8087	152	8	find	find	VERB
bae-8087	152	9	that	that	SCONJ
bae-8087	152	10	the	the	DET
bae-8087	152	11	interaction	interaction	NOUN
bae-8087	152	12	is	be	AUX
bae-8087	152	13	underestimated	underestimate	VERB
bae-8087	152	14	,	,	PUNCT
bae-8087	152	15	whereas	whereas	SCONJ
bae-8087	152	16	for	for	ADP
bae-8087	152	17	settings	setting	NOUN
bae-8087	152	18	where	where	SCONJ
bae-8087	152	19	ψ>0	ψ>0	ADV
bae-8087	152	20	we	we	PRON
bae-8087	152	21	find	find	VERB
bae-8087	152	22	that	that	SCONJ
bae-8087	152	23	they	they	PRON
bae-8087	152	24	are	be	AUX
bae-8087	152	25	overestimated	overestimate	VERB
bae-8087	152	26	.	.	PUNCT
bae-8087	153	1	furthermore	furthermore	ADV
bae-8087	153	2	,	,	PUNCT
bae-8087	153	3	while	while	SCONJ
bae-8087	153	4	the	the	DET
bae-8087	153	5	extent	extent	NOUN
bae-8087	153	6	of	of	ADP
bae-8087	153	7	the	the	DET
bae-8087	153	8	bias	bias	NOUN
bae-8087	153	9	is	be	AUX
bae-8087	153	10	increasing	increase	VERB
bae-8087	153	11	in	in	ADP
bae-8087	153	12	ψ	ψ	NOUN
bae-8087	153	13	,	,	PUNCT
bae-8087	153	14	we	we	PRON
bae-8087	153	15	see	see	VERB
bae-8087	153	16	no	no	DET
bae-8087	153	17	such	such	ADJ
bae-8087	153	18	pattern	pattern	NOUN
bae-8087	153	19	for	for	ADP
bae-8087	153	20	the	the	DET
bae-8087	153	21	standard	standard	ADJ
bae-8087	153	22	deviation	deviation	NOUN
bae-8087	153	23	of	of	ADP
bae-8087	153	24	the	the	DET
bae-8087	153	25	latent	latent	NOUN
bae-8087	153	26	variable	variable	NOUN
bae-8087	153	27	or	or	CCONJ
bae-8087	153	28	the	the	DET
bae-8087	153	29	other	other	ADJ
bae-8087	153	30	estimated	estimated	ADJ
bae-8087	153	31	parameters	parameter	NOUN
bae-8087	153	32	.	.	PUNCT
bae-8087	154	1	recall	recall	VERB
bae-8087	154	2	that	that	SCONJ
bae-8087	154	3	the	the	DET
bae-8087	154	4	dgp	dgp	NOUN
bae-8087	154	5	was	be	AUX
bae-8087	154	6	based	base	VERB
bae-8087	154	7	on	on	ADP
bae-8087	154	8	the	the	DET
bae-8087	154	9	lvmxl	lvmxl	PROPN
bae-8087	154	10	model	model	NOUN
bae-8087	154	11	.	.	PUNCT
bae-8087	155	1	while	while	SCONJ
bae-8087	155	2	we	we	PRON
bae-8087	155	3	can	can	AUX
bae-8087	155	4	normally	normally	ADV
bae-8087	155	5	expect	expect	VERB
bae-8087	155	6	to	to	PART
bae-8087	155	7	see	see	VERB
bae-8087	155	8	idiosyncratic	idiosyncratic	ADJ
bae-8087	155	9	bias	bias	NOUN
bae-8087	155	10	because	because	SCONJ
bae-8087	155	11	the	the	DET
bae-8087	155	12	integrals	integral	NOUN
bae-8087	155	13	are	be	AUX
bae-8087	155	14	simulated	simulate	VERB
bae-8087	155	15	and	and	CCONJ
bae-8087	155	16	the	the	DET
bae-8087	155	17	data	datum	NOUN
bae-8087	155	18	randomly	randomly	ADV
bae-8087	155	19	generated	generate	VERB
bae-8087	155	20	,	,	PUNCT
bae-8087	155	21	the	the	DET
bae-8087	155	22	fact	fact	NOUN
bae-8087	155	23	that	that	SCONJ
bae-8087	155	24	we	we	PRON
bae-8087	155	25	observe	observe	VERB
bae-8087	155	26	systematic	systematic	ADJ
bae-8087	155	27	bias	bias	NOUN
bae-8087	155	28	is	be	AUX
bae-8087	155	29	a	a	DET
bae-8087	155	30	cause	cause	NOUN
bae-8087	155	31	for	for	ADP
bae-8087	155	32	concern	concern	NOUN
bae-8087	155	33	and	and	CCONJ
bae-8087	155	34	should	should	AUX
bae-8087	155	35	make	make	VERB
bae-8087	155	36	any	any	DET
bae-8087	155	37	practitioner	practitioner	NOUN
bae-8087	155	38	think	think	VERB
bae-8087	155	39	twice	twice	ADV
bae-8087	155	40	about	about	ADP
bae-8087	155	41	using	use	VERB
bae-8087	155	42	hybrid	hybrid	ADJ
bae-8087	155	43	choice	choice	NOUN
bae-8087	155	44	models	model	NOUN
bae-8087	155	45	.	.	PUNCT
bae-8087	156	1	the	the	DET
bae-8087	156	2	inablity	inablity	NOUN
bae-8087	156	3	to	to	PART
bae-8087	156	4	recover	recover	VERB
bae-8087	156	5	the	the	DET
bae-8087	156	6	true	true	ADJ
bae-8087	156	7	parameters	parameter	NOUN
bae-8087	156	8	—	—	PUNCT
bae-8087	156	9	even	even	ADV
bae-8087	156	10	when	when	SCONJ
bae-8087	156	11	the	the	DET
bae-8087	156	12	dgp	dgp	NOUN
bae-8087	156	13	is	be	AUX
bae-8087	156	14	known	know	VERB
bae-8087	156	15	and	and	CCONJ
bae-8087	156	16	we	we	PRON
bae-8087	156	17	start	start	VERB
bae-8087	156	18	the	the	DET
bae-8087	156	19	estimation	estimation	NOUN
bae-8087	156	20	at	at	ADP
bae-8087	156	21	the	the	DET
bae-8087	156	22	true	true	ADJ
bae-8087	156	23	parameters	parameter	NOUN
bae-8087	156	24	—	—	PUNCT
bae-8087	156	25	is	be	AUX
bae-8087	156	26	disconcerting	disconcert	VERB
bae-8087	156	27	and	and	CCONJ
bae-8087	156	28	underlines	underline	VERB
bae-8087	156	29	the	the	DET
bae-8087	156	30	point	point	NOUN
bae-8087	156	31	that	that	SCONJ
bae-8087	156	32	these	these	DET
bae-8087	156	33	models	model	NOUN
bae-8087	156	34	are	be	AUX
bae-8087	156	35	difficult	difficult	ADJ
bae-8087	156	36	to	to	PART
bae-8087	156	37	estimate	estimate	VERB
bae-8087	156	38	even	even	ADV
bae-8087	156	39	under	under	ADP
bae-8087	156	40	“	"	PUNCT
bae-8087	156	41	perfect	perfect	ADJ
bae-8087	156	42	”	"	PUNCT
bae-8087	156	43	conditions.5	conditions.5	NOUN
bae-8087	157	1	so	so	ADV
bae-8087	157	2	what	what	PRON
bae-8087	157	3	does	do	AUX
bae-8087	157	4	this	this	PRON
bae-8087	157	5	say	say	VERB
bae-8087	157	6	about	about	ADP
bae-8087	157	7	our	our	PRON
bae-8087	157	8	ability	ability	NOUN
bae-8087	157	9	to	to	ADP
bae-8087	157	10	5	5	NUM
bae-8087	157	11	we	we	PRON
bae-8087	157	12	recognise	recognise	VERB
bae-8087	157	13	that	that	SCONJ
bae-8087	157	14	500	500	NUM
bae-8087	157	15	quasi	quasi	ADJ
bae-8087	157	16	-	-	ADJ
bae-8087	157	17	random	random	ADJ
bae-8087	157	18	draws	draw	NOUN
bae-8087	157	19	may	may	AUX
bae-8087	157	20	not	not	PART
bae-8087	157	21	have	have	AUX
bae-8087	157	22	been	be	AUX
bae-8087	157	23	sufficient	sufficient	ADJ
bae-8087	157	24	and	and	CCONJ
bae-8087	157	25	that	that	SCONJ
bae-8087	157	26	increasing	increase	VERB
bae-8087	157	27	the	the	DET
bae-8087	157	28	number	number	NOUN
bae-8087	157	29	of	of	ADP
bae-8087	157	30	simulation	simulation	NOUN
bae-8087	157	31	draws	draw	VERB
bae-8087	157	32	may	may	AUX
bae-8087	157	33	have	have	AUX
bae-8087	157	34	led	lead	VERB
bae-8087	157	35	to	to	ADP
bae-8087	157	36	a	a	DET
bae-8087	157	37	more	more	ADV
bae-8087	157	38	stable	stable	ADJ
bae-8087	157	39	set	set	NOUN
bae-8087	157	40	of	of	ADP
bae-8087	157	41	parameter	parameter	NOUN
bae-8087	157	42	estimates	estimate	NOUN
bae-8087	157	43	.	.	PUNCT
bae-8087	158	1	we	we	PRON
bae-8087	158	2	justify	justify	VERB
bae-8087	158	3	this	this	PRON
bae-8087	158	4	on	on	ADP
bae-8087	158	5	the	the	DET
bae-8087	158	6	grounds	ground	NOUN
bae-8087	158	7	that	that	SCONJ
bae-8087	158	8	,	,	PUNCT
bae-8087	158	9	table	table	NOUN
bae-8087	158	10	2	2	NUM
bae-8087	158	11	.	.	PUNCT
bae-8087	158	12	mean	mean	ADJ
bae-8087	158	13	improvement	improvement	NOUN
bae-8087	158	14	in	in	ADP
bae-8087	158	15	log	log	NOUN
bae-8087	158	16	-	-	PUNCT
bae-8087	158	17	likelihood	likelihood	NOUN
bae-8087	158	18	(	(	PUNCT
bae-8087	158	19	choice	choice	NOUN
bae-8087	158	20	)	)	PUNCT
bae-8087	158	21	over	over	ADP
bae-8087	158	22	respective	respective	ADJ
bae-8087	158	23	dgp	dgp	PROPN
bae-8087	158	24	baseline	baseline	NOUN
bae-8087	158	25	mxl	mxl	PROPN
bae-8087	158	26	model	model	NOUN
bae-8087	158	27	across	across	ADP
bae-8087	158	28	the	the	DET
bae-8087	158	29	100	100	NUM
bae-8087	158	30	monte	monte	PROPN
bae-8087	158	31	-	-	PUNCT
bae-8087	158	32	carlo	carlo	NOUN
bae-8087	158	33	simulations	simulation	NOUN
bae-8087	158	34	.	.	PUNCT
bae-8087	159	1	315the	315the	DET
bae-8087	159	2	use	use	NOUN
bae-8087	159	3	of	of	ADP
bae-8087	159	4	latent	latent	ADJ
bae-8087	159	5	variable	variable	ADJ
bae-8087	159	6	models	model	NOUN
bae-8087	159	7	in	in	ADP
bae-8087	159	8	policy	policy	NOUN
bae-8087	159	9	:	:	PUNCT
bae-8087	159	10	a	a	DET
bae-8087	159	11	road	road	NOUN
bae-8087	159	12	fraught	fraught	ADJ
bae-8087	159	13	with	with	ADP
bae-8087	159	14	peril	peril	NOUN
bae-8087	159	15	?	?	PUNCT
bae-8087	160	1	retrieve	retrieve	VERB
bae-8087	160	2	unbiased	unbiased	ADJ
bae-8087	160	3	parameters	parameter	NOUN
bae-8087	160	4	in	in	ADP
bae-8087	160	5	empirical	empirical	ADJ
bae-8087	160	6	settings	setting	NOUN
bae-8087	160	7	when	when	SCONJ
bae-8087	160	8	the	the	DET
bae-8087	160	9	dgp	dgp	NOUN
bae-8087	160	10	and	and	CCONJ
bae-8087	160	11	its	its	PRON
bae-8087	160	12	parameters	parameter	NOUN
bae-8087	160	13	are	be	AUX
bae-8087	160	14	unknown	unknown	ADJ
bae-8087	160	15	?	?	PUNCT
bae-8087	161	1	in	in	ADP
bae-8087	161	2	total	total	NOUN
bae-8087	161	3	,	,	PUNCT
bae-8087	161	4	we	we	PRON
bae-8087	161	5	estimated	estimate	VERB
bae-8087	161	6	15,000	15,000	NUM
bae-8087	161	7	mixed	mixed	ADJ
bae-8087	161	8	logit	logit	NOUN
bae-8087	161	9	models	model	NOUN
bae-8087	161	10	.	.	PUNCT
bae-8087	162	1	increasing	increase	VERB
bae-8087	162	2	the	the	DET
bae-8087	162	3	number	number	NOUN
bae-8087	162	4	of	of	ADP
bae-8087	162	5	draws	draw	NOUN
bae-8087	162	6	would	would	AUX
bae-8087	162	7	have	have	AUX
bae-8087	162	8	entailed	entail	VERB
bae-8087	162	9	considerably	considerably	ADV
bae-8087	162	10	more	more	ADJ
bae-8087	162	11	estimation	estimation	NOUN
bae-8087	162	12	time	time	NOUN
bae-8087	162	13	.	.	PUNCT
bae-8087	163	1	table	table	NOUN
bae-8087	163	2	3	3	NUM
bae-8087	163	3	.	.	X
bae-8087	163	4	bias	bias	NOUN
bae-8087	163	5	for	for	ADP
bae-8087	163	6	parameters	parameter	NOUN
bae-8087	163	7	connected	connect	VERB
bae-8087	163	8	with	with	ADP
bae-8087	163	9	the	the	DET
bae-8087	163	10	latent	latent	NOUN
bae-8087	163	11	variable	variable	NOUN
bae-8087	163	12	in	in	ADP
bae-8087	163	13	the	the	DET
bae-8087	163	14	lvmxl	lvmxl	PROPN
bae-8087	163	15	model	model	NOUN
bae-8087	163	16	.	.	PUNCT
bae-8087	164	1	table	table	NOUN
bae-8087	164	2	4	4	NUM
bae-8087	164	3	.	.	PUNCT
bae-8087	164	4	bias	bias	NOUN
bae-8087	164	5	for	for	ADP
bae-8087	164	6	parameters	parameter	NOUN
bae-8087	164	7	connected	connect	VERB
bae-8087	164	8	with	with	ADP
bae-8087	164	9	the	the	DET
bae-8087	164	10	latent	latent	NOUN
bae-8087	164	11	variable	variable	NOUN
bae-8087	164	12	in	in	ADP
bae-8087	164	13	the	the	DET
bae-8087	164	14	lvmxl	lvmxl	PROPN
bae-8087	164	15	-	-	PUNCT
bae-8087	164	16	corr	corr	PROPN
bae-8087	164	17	model	model	NOUN
bae-8087	164	18	.	.	PUNCT
bae-8087	165	1	316	316	NUM
bae-8087	165	2	danny	danny	PROPN
bae-8087	165	3	campbell	campbell	PROPN
bae-8087	165	4	,	,	PUNCT
bae-8087	165	5	erlend	erlend	VERB
bae-8087	165	6	dancke	dancke	PROPN
bae-8087	165	7	sandorf	sandorf	PROPN
bae-8087	165	8	turning	turn	VERB
bae-8087	165	9	our	our	PRON
bae-8087	165	10	attention	attention	NOUN
bae-8087	165	11	to	to	ADP
bae-8087	165	12	the	the	DET
bae-8087	165	13	model	model	NOUN
bae-8087	165	14	with	with	ADP
bae-8087	165	15	correlation	correlation	NOUN
bae-8087	165	16	reported	report	VERB
bae-8087	165	17	in	in	ADP
bae-8087	165	18	table	table	NOUN
bae-8087	165	19	4	4	NUM
bae-8087	165	20	,	,	PUNCT
bae-8087	165	21	we	we	PRON
bae-8087	165	22	see	see	VERB
bae-8087	165	23	some	some	DET
bae-8087	165	24	stark	stark	ADJ
bae-8087	165	25	differences	difference	NOUN
bae-8087	165	26	compared	compare	VERB
bae-8087	165	27	to	to	ADP
bae-8087	165	28	the	the	DET
bae-8087	165	29	models	model	NOUN
bae-8087	165	30	without	without	ADP
bae-8087	165	31	correlation	correlation	NOUN
bae-8087	165	32	.	.	PUNCT
bae-8087	166	1	the	the	DET
bae-8087	166	2	most	most	ADV
bae-8087	166	3	notable	notable	ADJ
bae-8087	166	4	change	change	NOUN
bae-8087	166	5	is	be	AUX
bae-8087	166	6	the	the	DET
bae-8087	166	7	switching	switch	VERB
bae-8087	166	8	signs	sign	NOUN
bae-8087	166	9	and	and	CCONJ
bae-8087	166	10	larger	large	ADJ
bae-8087	166	11	magnitude	magnitude	NOUN
bae-8087	166	12	of	of	ADP
bae-8087	166	13	the	the	DET
bae-8087	166	14	bias	bias	NOUN
bae-8087	166	15	in	in	ADP
bae-8087	166	16	the	the	DET
bae-8087	166	17	standard	standard	ADJ
bae-8087	166	18	deviation	deviation	NOUN
bae-8087	166	19	of	of	ADP
bae-8087	166	20	the	the	DET
bae-8087	166	21	latent	latent	NOUN
bae-8087	166	22	variable	variable	NOUN
bae-8087	166	23	and	and	CCONJ
bae-8087	166	24	ψ	ψ	NOUN
bae-8087	166	25	.	.	PUNCT
bae-8087	167	1	this	this	PRON
bae-8087	167	2	shows	show	VERB
bae-8087	167	3	overwhelming	overwhelming	ADJ
bae-8087	167	4	evidence	evidence	NOUN
bae-8087	167	5	that	that	SCONJ
bae-8087	167	6	allowing	allow	VERB
bae-8087	167	7	for	for	ADP
bae-8087	167	8	correlation	correlation	NOUN
bae-8087	167	9	in	in	ADP
bae-8087	167	10	the	the	DET
bae-8087	167	11	random	random	ADJ
bae-8087	167	12	parameters	parameter	NOUN
bae-8087	167	13	when	when	SCONJ
bae-8087	167	14	this	this	PRON
bae-8087	167	15	was	be	AUX
bae-8087	167	16	not	not	PART
bae-8087	167	17	part	part	NOUN
bae-8087	167	18	of	of	ADP
bae-8087	167	19	the	the	DET
bae-8087	167	20	dgp	dgp	NOUN
bae-8087	167	21	leads	lead	VERB
bae-8087	167	22	to	to	ADP
bae-8087	167	23	severe	severe	ADJ
bae-8087	167	24	bias	bias	NOUN
bae-8087	167	25	in	in	ADP
bae-8087	167	26	the	the	DET
bae-8087	167	27	parameters	parameter	NOUN
bae-8087	167	28	associated	associate	VERB
bae-8087	167	29	with	with	ADP
bae-8087	167	30	the	the	DET
bae-8087	167	31	latent	latent	NOUN
bae-8087	167	32	variable	variable	NOUN
bae-8087	167	33	when	when	SCONJ
bae-8087	167	34	the	the	DET
bae-8087	167	35	latent	latent	NOUN
bae-8087	167	36	variable	variable	NOUN
bae-8087	167	37	is	be	AUX
bae-8087	167	38	the	the	DET
bae-8087	167	39	only	only	ADJ
bae-8087	167	40	source	source	NOUN
bae-8087	167	41	of	of	ADP
bae-8087	167	42	correlation	correlation	NOUN
bae-8087	167	43	in	in	ADP
bae-8087	167	44	the	the	DET
bae-8087	167	45	data	datum	NOUN
bae-8087	167	46	.	.	PUNCT
bae-8087	168	1	intuitively	intuitively	ADV
bae-8087	168	2	,	,	PUNCT
bae-8087	168	3	this	this	PRON
bae-8087	168	4	makes	make	VERB
bae-8087	168	5	sense	sense	NOUN
bae-8087	168	6	.	.	PUNCT
bae-8087	169	1	we	we	PRON
bae-8087	169	2	now	now	ADV
bae-8087	169	3	have	have	VERB
bae-8087	169	4	a	a	DET
bae-8087	169	5	whole	whole	ADJ
bae-8087	169	6	correlation	correlation	NOUN
bae-8087	169	7	structure	structure	NOUN
bae-8087	169	8	,	,	PUNCT
bae-8087	169	9	in	in	ADP
bae-8087	169	10	addition	addition	NOUN
bae-8087	169	11	to	to	ADP
bae-8087	169	12	the	the	DET
bae-8087	169	13	latent	latent	NOUN
bae-8087	169	14	variable	variable	NOUN
bae-8087	169	15	,	,	PUNCT
bae-8087	169	16	trying	try	VERB
bae-8087	169	17	to	to	PART
bae-8087	169	18	describe	describe	VERB
bae-8087	169	19	the	the	DET
bae-8087	169	20	influence	influence	NOUN
bae-8087	169	21	of	of	ADP
bae-8087	169	22	the	the	DET
bae-8087	169	23	latent	latent	NOUN
bae-8087	169	24	variable	variable	NOUN
bae-8087	169	25	.	.	PUNCT
bae-8087	170	1	crucially	crucially	ADV
bae-8087	170	2	,	,	PUNCT
bae-8087	170	3	the	the	DET
bae-8087	170	4	magnitude	magnitude	NOUN
bae-8087	170	5	of	of	ADP
bae-8087	170	6	the	the	DET
bae-8087	170	7	bias	bias	NOUN
bae-8087	170	8	of	of	ADP
bae-8087	170	9	ψ	ψ	NOUN
bae-8087	170	10	is	be	AUX
bae-8087	170	11	important	important	ADJ
bae-8087	170	12	because	because	SCONJ
bae-8087	170	13	it	it	PRON
bae-8087	170	14	can	can	AUX
bae-8087	170	15	lead	lead	VERB
bae-8087	170	16	to	to	ADP
bae-8087	170	17	an	an	DET
bae-8087	170	18	entirely	entirely	ADV
bae-8087	170	19	misleading	misleading	ADJ
bae-8087	170	20	interpretation	interpretation	NOUN
bae-8087	170	21	of	of	ADP
bae-8087	170	22	the	the	DET
bae-8087	170	23	latent	latent	NOUN
bae-8087	170	24	variable	variable	NOUN
bae-8087	170	25	.	.	PUNCT
bae-8087	171	1	note	note	VERB
bae-8087	171	2	that	that	SCONJ
bae-8087	171	3	given	give	VERB
bae-8087	171	4	the	the	DET
bae-8087	171	5	true	true	ADJ
bae-8087	171	6	parameters	parameter	NOUN
bae-8087	171	7	of	of	ADP
bae-8087	171	8	ψ	ψ	NOUN
bae-8087	171	9	in	in	ADP
bae-8087	171	10	table	table	NOUN
bae-8087	171	11	1	1	NUM
bae-8087	171	12	,	,	PUNCT
bae-8087	171	13	the	the	DET
bae-8087	171	14	magnitude	magnitude	NOUN
bae-8087	171	15	of	of	ADP
bae-8087	171	16	the	the	DET
bae-8087	171	17	bias	bias	NOUN
bae-8087	171	18	implies	imply	VERB
bae-8087	171	19	that	that	SCONJ
bae-8087	171	20	the	the	DET
bae-8087	171	21	estimated	estimate	VERB
bae-8087	171	22	value	value	NOUN
bae-8087	171	23	of	of	ADP
bae-8087	171	24	the	the	DET
bae-8087	171	25	impact	impact	NOUN
bae-8087	171	26	of	of	ADP
bae-8087	171	27	the	the	DET
bae-8087	171	28	latent	latent	NOUN
bae-8087	171	29	variable	variable	NOUN
bae-8087	171	30	will	will	AUX
bae-8087	171	31	be	be	AUX
bae-8087	171	32	negative	negative	ADJ
bae-8087	171	33	.	.	PUNCT
bae-8087	172	1	consequently	consequently	ADV
bae-8087	172	2	,	,	PUNCT
bae-8087	172	3	ceteris	ceteris	NOUN
bae-8087	172	4	paribus	paribus	NOUN
bae-8087	172	5	,	,	PUNCT
bae-8087	172	6	we	we	PRON
bae-8087	172	7	would	would	AUX
bae-8087	172	8	wrongly	wrongly	ADV
bae-8087	172	9	conclude	conclude	VERB
bae-8087	172	10	that	that	SCONJ
bae-8087	172	11	an	an	DET
bae-8087	172	12	increase	increase	NOUN
bae-8087	172	13	in	in	ADP
bae-8087	172	14	the	the	DET
bae-8087	172	15	latent	latent	NOUN
bae-8087	172	16	variable	variable	NOUN
bae-8087	172	17	is	be	AUX
bae-8087	172	18	associated	associate	VERB
bae-8087	172	19	with	with	ADP
bae-8087	172	20	an	an	DET
bae-8087	172	21	increase	increase	NOUN
bae-8087	172	22	in	in	ADP
bae-8087	172	23	the	the	DET
bae-8087	172	24	mwtp	mwtp	NOUN
bae-8087	172	25	for	for	ADP
bae-8087	172	26	the	the	DET
bae-8087	172	27	environmental	environmental	ADJ
bae-8087	172	28	attributes	attribute	NOUN
bae-8087	172	29	and	and	CCONJ
bae-8087	172	30	a	a	DET
bae-8087	172	31	decrease	decrease	NOUN
bae-8087	172	32	in	in	ADP
bae-8087	172	33	the	the	DET
bae-8087	172	34	tendency	tendency	NOUN
bae-8087	172	35	to	to	PART
bae-8087	172	36	report	report	VERB
bae-8087	172	37	pro	pro	ADJ
bae-8087	172	38	-	-	ADJ
bae-8087	172	39	environmental	environmental	ADJ
bae-8087	172	40	attitudes	attitude	NOUN
bae-8087	172	41	on	on	ADP
bae-8087	172	42	our	our	PRON
bae-8087	172	43	three	three	NUM
bae-8087	172	44	-	-	PUNCT
bae-8087	172	45	point	point	NOUN
bae-8087	172	46	likert	likert	ADJ
bae-8087	172	47	scale	scale	NOUN
bae-8087	172	48	question	question	NOUN
bae-8087	172	49	.	.	PUNCT
bae-8087	173	1	if	if	SCONJ
bae-8087	173	2	we	we	PRON
bae-8087	173	3	look	look	VERB
bae-8087	173	4	at	at	ADP
bae-8087	173	5	the	the	DET
bae-8087	173	6	bias	bias	NOUN
bae-8087	173	7	in	in	ADP
bae-8087	173	8	the	the	DET
bae-8087	173	9	γ	γ	PROPN
bae-8087	173	10	parameters	parameter	NOUN
bae-8087	173	11	,	,	PUNCT
bae-8087	173	12	we	we	PRON
bae-8087	173	13	see	see	VERB
bae-8087	173	14	that	that	SCONJ
bae-8087	173	15	this	this	PRON
bae-8087	173	16	is	be	AUX
bae-8087	173	17	much	much	ADV
bae-8087	173	18	smaller	small	ADJ
bae-8087	173	19	compared	compare	VERB
bae-8087	173	20	to	to	ADP
bae-8087	173	21	the	the	DET
bae-8087	173	22	lvmxl	lvmxl	PROPN
bae-8087	173	23	model	model	NOUN
bae-8087	173	24	.	.	PUNCT
bae-8087	174	1	while	while	SCONJ
bae-8087	174	2	the	the	DET
bae-8087	174	3	bias	bias	NOUN
bae-8087	174	4	for	for	ADP
bae-8087	174	5	the	the	DET
bae-8087	174	6	standard	standard	ADJ
bae-8087	174	7	deviation	deviation	NOUN
bae-8087	174	8	of	of	ADP
bae-8087	174	9	the	the	DET
bae-8087	174	10	latent	latent	NOUN
bae-8087	174	11	variable	variable	NOUN
bae-8087	174	12	and	and	CCONJ
bae-8087	174	13	the	the	DET
bae-8087	174	14	latent	latent	NOUN
bae-8087	174	15	variable	variable	ADJ
bae-8087	174	16	indicator	indicator	NOUN
bae-8087	174	17	interactions	interaction	NOUN
bae-8087	174	18	switch	switch	VERB
bae-8087	174	19	signs	sign	NOUN
bae-8087	174	20	and	and	CCONJ
bae-8087	174	21	are	be	AUX
bae-8087	174	22	considerably	considerably	ADV
bae-8087	174	23	larger	large	ADJ
bae-8087	174	24	,	,	PUNCT
bae-8087	174	25	the	the	DET
bae-8087	174	26	bias	bias	NOUN
bae-8087	174	27	for	for	ADP
bae-8087	174	28	γ	γ	X
bae-8087	174	29	is	be	AUX
bae-8087	174	30	much	much	ADV
bae-8087	174	31	smaller	small	ADJ
bae-8087	174	32	,	,	PUNCT
bae-8087	174	33	which	which	PRON
bae-8087	174	34	makes	make	VERB
bae-8087	174	35	it	it	PRON
bae-8087	174	36	difficult	difficult	ADJ
bae-8087	174	37	to	to	PART
bae-8087	174	38	ascertain	ascertain	VERB
bae-8087	174	39	the	the	DET
bae-8087	174	40	net	net	ADJ
bae-8087	174	41	effect	effect	NOUN
bae-8087	174	42	on	on	ADP
bae-8087	174	43	welfare	welfare	NOUN
bae-8087	174	44	estimates	estimate	NOUN
bae-8087	174	45	.	.	PUNCT
bae-8087	175	1	what	what	PRON
bae-8087	175	2	it	it	PRON
bae-8087	175	3	does	do	AUX
bae-8087	175	4	highlight	highlight	VERB
bae-8087	175	5	,	,	PUNCT
bae-8087	175	6	and	and	CCONJ
bae-8087	175	7	we	we	PRON
bae-8087	175	8	can	can	AUX
bae-8087	175	9	not	not	PART
bae-8087	175	10	stress	stress	VERB
bae-8087	175	11	this	this	PRON
bae-8087	175	12	enough	enough	ADV
bae-8087	175	13	,	,	PUNCT
bae-8087	175	14	is	be	AUX
bae-8087	175	15	that	that	SCONJ
bae-8087	175	16	there	there	PRON
bae-8087	175	17	appears	appear	VERB
bae-8087	175	18	to	to	PART
bae-8087	175	19	be	be	AUX
bae-8087	175	20	a	a	DET
bae-8087	175	21	dilemma	dilemma	NOUN
bae-8087	175	22	and	and	CCONJ
bae-8087	175	23	a	a	DET
bae-8087	175	24	set	set	NOUN
bae-8087	175	25	of	of	ADP
bae-8087	175	26	unforeseen	unforeseen	ADJ
bae-8087	175	27	trade	trade	NOUN
bae-8087	175	28	-	-	PUNCT
bae-8087	175	29	offs	off	NOUN
bae-8087	175	30	when	when	SCONJ
bae-8087	175	31	it	it	PRON
bae-8087	175	32	comes	come	VERB
bae-8087	175	33	to	to	ADP
bae-8087	175	34	hybrid	hybrid	ADJ
bae-8087	175	35	choice	choice	NOUN
bae-8087	175	36	model	model	NOUN
bae-8087	175	37	selection	selection	NOUN
bae-8087	175	38	.	.	PUNCT
bae-8087	176	1	the	the	DET
bae-8087	176	2	extent	extent	NOUN
bae-8087	176	3	to	to	PART
bae-8087	176	4	which	which	PRON
bae-8087	176	5	this	this	PRON
bae-8087	176	6	is	be	AUX
bae-8087	176	7	just	just	ADV
bae-8087	176	8	an	an	DET
bae-8087	176	9	artefact	artefact	NOUN
bae-8087	176	10	of	of	ADP
bae-8087	176	11	our	our	PRON
bae-8087	176	12	dgp	dgp	NOUN
bae-8087	176	13	parameters	parameter	NOUN
bae-8087	176	14	and	and	CCONJ
bae-8087	176	15	assumptions	assumption	NOUN
bae-8087	176	16	remain	remain	VERB
bae-8087	176	17	unclear	unclear	ADJ
bae-8087	176	18	,	,	PUNCT
bae-8087	176	19	as	as	SCONJ
bae-8087	176	20	this	this	PRON
bae-8087	176	21	would	would	AUX
bae-8087	176	22	require	require	VERB
bae-8087	176	23	further	further	ADJ
bae-8087	176	24	simulation	simulation	NOUN
bae-8087	176	25	work	work	NOUN
bae-8087	176	26	under	under	ADP
bae-8087	176	27	a	a	DET
bae-8087	176	28	broader	broad	ADJ
bae-8087	176	29	range	range	NOUN
bae-8087	176	30	of	of	ADP
bae-8087	176	31	settings	setting	NOUN
bae-8087	176	32	.	.	PUNCT
bae-8087	177	1	nonetheless	nonetheless	ADV
bae-8087	177	2	,	,	PUNCT
bae-8087	177	3	it	it	PRON
bae-8087	177	4	does	do	AUX
bae-8087	177	5	show	show	VERB
bae-8087	177	6	that	that	DET
bae-8087	177	7	model	model	NOUN
bae-8087	177	8	selection	selection	NOUN
bae-8087	177	9	comes	come	VERB
bae-8087	177	10	down	down	ADP
bae-8087	177	11	to	to	ADP
bae-8087	177	12	the	the	DET
bae-8087	177	13	analyst	analyst	NOUN
bae-8087	177	14	’s	’s	PART
bae-8087	177	15	belief	belief	NOUN
bae-8087	177	16	about	about	ADP
bae-8087	177	17	correlations	correlation	NOUN
bae-8087	177	18	and	and	CCONJ
bae-8087	177	19	that	that	DET
bae-8087	177	20	model	model	NOUN
bae-8087	177	21	selection	selection	NOUN
bae-8087	177	22	and	and	CCONJ
bae-8087	177	23	the	the	DET
bae-8087	177	24	use	use	NOUN
bae-8087	177	25	of	of	ADP
bae-8087	177	26	these	these	DET
bae-8087	177	27	models	model	NOUN
bae-8087	177	28	truly	truly	ADV
bae-8087	177	29	is	be	AUX
bae-8087	177	30	“	"	PUNCT
bae-8087	177	31	a	a	DET
bae-8087	177	32	road	road	NOUN
bae-8087	177	33	fraught	fraught	ADJ
bae-8087	177	34	with	with	ADP
bae-8087	177	35	peril	peril	NOUN
bae-8087	177	36	”	"	PUNCT
bae-8087	177	37	.	.	PUNCT
bae-8087	178	1	to	to	PART
bae-8087	178	2	determine	determine	VERB
bae-8087	178	3	how	how	SCONJ
bae-8087	178	4	the	the	DET
bae-8087	178	5	above	above	ADJ
bae-8087	178	6	results	result	NOUN
bae-8087	178	7	affect	affect	VERB
bae-8087	178	8	mwtp	mwtp	NOUN
bae-8087	178	9	,	,	PUNCT
bae-8087	178	10	we	we	PRON
bae-8087	178	11	compare	compare	VERB
bae-8087	178	12	the	the	DET
bae-8087	178	13	overlapped	overlapped	ADJ
bae-8087	178	14	estimated	estimate	VERB
bae-8087	178	15	area	area	NOUN
bae-8087	178	16	of	of	ADP
bae-8087	178	17	the	the	DET
bae-8087	178	18	actual	actual	ADJ
bae-8087	178	19	mwtp	mwtp	NOUN
bae-8087	178	20	kernel	kernel	PROPN
bae-8087	178	21	density	density	PROPN
bae-8087	178	22	estimates	estimate	NOUN
bae-8087	178	23	to	to	ADP
bae-8087	178	24	that	that	PRON
bae-8087	178	25	of	of	ADP
bae-8087	178	26	the	the	DET
bae-8087	178	27	kernel	kernel	PROPN
bae-8087	178	28	density	density	NOUN
bae-8087	178	29	of	of	ADP
bae-8087	178	30	the	the	DET
bae-8087	178	31	distribution	distribution	NOUN
bae-8087	178	32	of	of	ADP
bae-8087	178	33	the	the	DET
bae-8087	178	34	means	mean	NOUN
bae-8087	178	35	of	of	ADP
bae-8087	178	36	the	the	DET
bae-8087	178	37	individual	individual	ADJ
bae-8087	178	38	-	-	PUNCT
bae-8087	178	39	specific	specific	ADJ
bae-8087	178	40	posterior	posterior	ADJ
bae-8087	178	41	mwtp	mwtp	NOUN
bae-8087	178	42	.	.	PUNCT
bae-8087	179	1	this	this	PRON
bae-8087	179	2	is	be	AUX
bae-8087	179	3	an	an	DET
bae-8087	179	4	easy	easy	ADJ
bae-8087	179	5	way	way	NOUN
bae-8087	179	6	to	to	PART
bae-8087	179	7	quantify	quantify	VERB
bae-8087	179	8	the	the	DET
bae-8087	179	9	similarities	similarity	NOUN
bae-8087	179	10	or	or	CCONJ
bae-8087	179	11	differences	difference	NOUN
bae-8087	179	12	between	between	ADP
bae-8087	179	13	the	the	DET
bae-8087	179	14	actual	actual	ADJ
bae-8087	179	15	and	and	CCONJ
bae-8087	179	16	predicted	predict	VERB
bae-8087	179	17	mwtp	mwtp	NOUN
bae-8087	179	18	distributions	distribution	NOUN
bae-8087	179	19	.	.	PUNCT
bae-8087	180	1	to	to	PART
bae-8087	180	2	make	make	VERB
bae-8087	180	3	the	the	DET
bae-8087	180	4	comparison	comparison	NOUN
bae-8087	180	5	more	more	ADV
bae-8087	180	6	intuitive	intuitive	ADJ
bae-8087	180	7	,	,	PUNCT
bae-8087	180	8	we	we	PRON
bae-8087	180	9	consider	consider	VERB
bae-8087	180	10	the	the	DET
bae-8087	180	11	difference	difference	NOUN
bae-8087	180	12	in	in	ADP
bae-8087	180	13	the	the	DET
bae-8087	180	14	percentage	percentage	NOUN
bae-8087	180	15	overlap	overlap	NOUN
bae-8087	180	16	of	of	ADP
bae-8087	180	17	each	each	DET
bae-8087	180	18	model	model	NOUN
bae-8087	180	19	to	to	ADP
bae-8087	180	20	the	the	DET
bae-8087	180	21	basic	basic	ADJ
bae-8087	180	22	mxl	mxl	PROPN
bae-8087	180	23	model	model	NOUN
bae-8087	180	24	,	,	PUNCT
bae-8087	180	25	which	which	PRON
bae-8087	180	26	represents	represent	VERB
bae-8087	180	27	the	the	DET
bae-8087	180	28	most	most	ADV
bae-8087	180	29	naïve	naïve	ADJ
bae-8087	180	30	assumptions	assumption	NOUN
bae-8087	180	31	about	about	ADP
bae-8087	180	32	the	the	DET
bae-8087	180	33	dgp	dgp	NOUN
bae-8087	180	34	.	.	PUNCT
bae-8087	181	1	to	to	PART
bae-8087	181	2	illustrate	illustrate	VERB
bae-8087	181	3	how	how	SCONJ
bae-8087	181	4	this	this	DET
bae-8087	181	5	difference	difference	NOUN
bae-8087	181	6	is	be	AUX
bae-8087	181	7	sensitive	sensitive	ADJ
bae-8087	181	8	to	to	ADP
bae-8087	181	9	the	the	DET
bae-8087	181	10	correlation	correlation	NOUN
bae-8087	181	11	between	between	ADP
bae-8087	181	12	the	the	DET
bae-8087	181	13	dgp	dgp	NOUN
bae-8087	181	14	mwtp	mwtp	NOUN
bae-8087	181	15	and	and	CCONJ
bae-8087	181	16	the	the	DET
bae-8087	181	17	latent	latent	NOUN
bae-8087	181	18	variable	variable	NOUN
bae-8087	181	19	,	,	PUNCT
bae-8087	181	20	as	as	ADV
bae-8087	181	21	well	well	ADV
bae-8087	181	22	as	as	ADP
bae-8087	181	23	the	the	DET
bae-8087	181	24	indicator	indicator	NOUN
bae-8087	181	25	,	,	PUNCT
bae-8087	181	26	we	we	PRON
bae-8087	181	27	plot	plot	VERB
bae-8087	181	28	the	the	DET
bae-8087	181	29	differences	difference	NOUN
bae-8087	181	30	against	against	ADP
bae-8087	181	31	ρwk	ρwk	PROPN
bae-8087	181	32	,	,	PUNCT
bae-8087	181	33	l	l	PROPN
bae-8087	181	34	and	and	CCONJ
bae-8087	181	35	ρwk	ρwk	INTJ
bae-8087	181	36	,	,	PUNCT
bae-8087	181	37	i	i	PRON
bae-8087	181	38	*	*	NOUN
bae-8087	181	39	,	,	PUNCT
bae-8087	181	40	respectively	respectively	ADV
bae-8087	181	41	.	.	PUNCT
bae-8087	182	1	we	we	PRON
bae-8087	182	2	sort	sort	VERB
bae-8087	182	3	the	the	DET
bae-8087	182	4	corresponding	corresponding	ADJ
bae-8087	182	5	points	point	NOUN
bae-8087	182	6	by	by	ADP
bae-8087	182	7	the	the	DET
bae-8087	182	8	correlation	correlation	NOUN
bae-8087	182	9	measure	measure	NOUN
bae-8087	182	10	and	and	CCONJ
bae-8087	182	11	graph	graph	VERB
bae-8087	182	12	this	this	PRON
bae-8087	182	13	using	use	VERB
bae-8087	182	14	a	a	DET
bae-8087	182	15	technique	technique	NOUN
bae-8087	182	16	known	know	VERB
bae-8087	182	17	as	as	ADP
bae-8087	182	18	locally	locally	ADV
bae-8087	182	19	estimated	estimate	VERB
bae-8087	182	20	scatterplot	scatterplot	NOUN
bae-8087	182	21	smoothing	smoothing	NOUN
bae-8087	182	22	(	(	PUNCT
bae-8087	182	23	loess).6	loess).6	VERB
bae-8087	182	24	we	we	PRON
bae-8087	182	25	show	show	VERB
bae-8087	182	26	these	these	PRON
bae-8087	182	27	in	in	ADP
bae-8087	182	28	figure	figure	NOUN
bae-8087	182	29	1	1	NUM
bae-8087	182	30	,	,	PUNCT
bae-8087	182	31	figure	figure	NOUN
bae-8087	182	32	2	2	NUM
bae-8087	182	33	and	and	CCONJ
bae-8087	182	34	figure	figure	VERB
bae-8087	182	35	3	3	NUM
bae-8087	182	36	(	(	PUNCT
bae-8087	182	37	and	and	CCONJ
bae-8087	182	38	their	their	PRON
bae-8087	182	39	associated	associate	VERB
bae-8087	182	40	95	95	NUM
bae-8087	182	41	percent	percent	NOUN
bae-8087	182	42	confidence	confidence	NOUN
bae-8087	182	43	level	level	NOUN
bae-8087	182	44	)	)	PUNCT
bae-8087	182	45	for	for	ADP
bae-8087	182	46	the	the	DET
bae-8087	182	47	area	area	NOUN
bae-8087	182	48	,	,	PUNCT
bae-8087	182	49	broadleaf	broadleaf	NOUN
bae-8087	182	50	and	and	CCONJ
bae-8087	182	51	recreation	recreation	NOUN
bae-8087	182	52	attributes	attribute	NOUN
bae-8087	182	53	,	,	PUNCT
bae-8087	182	54	respectively	respectively	ADV
bae-8087	182	55	.	.	PUNCT
bae-8087	183	1	specifically	specifically	ADV
bae-8087	183	2	,	,	PUNCT
bae-8087	183	3	the	the	DET
bae-8087	183	4	locally	locally	ADV
bae-8087	183	5	regressed	regress	VERB
bae-8087	183	6	and	and	CCONJ
bae-8087	183	7	smoothed	smooth	VERB
bae-8087	183	8	percentage	percentage	NOUN
bae-8087	183	9	point	point	NOUN
bae-8087	183	10	differences	difference	NOUN
bae-8087	183	11	in	in	ADP
bae-8087	183	12	overlap	overlap	NOUN
bae-8087	183	13	of	of	ADP
bae-8087	183	14	each	each	DET
bae-8087	183	15	candidate	candidate	NOUN
bae-8087	183	16	model	model	NOUN
bae-8087	183	17	relative	relative	ADJ
bae-8087	183	18	to	to	ADP
bae-8087	183	19	the	the	DET
bae-8087	183	20	mxl	mxl	PROPN
bae-8087	183	21	model	model	NOUN
bae-8087	183	22	are	be	AUX
bae-8087	183	23	plotted	plot	VERB
bae-8087	183	24	against	against	ADP
bae-8087	183	25	:	:	PUNCT
bae-8087	183	26	(	(	PUNCT
bae-8087	183	27	i	i	NOUN
bae-8087	183	28	)	)	PUNCT
bae-8087	183	29	the	the	DET
bae-8087	183	30	correlation	correlation	NOUN
bae-8087	183	31	between	between	ADP
bae-8087	183	32	the	the	DET
bae-8087	183	33	actual	actual	ADJ
bae-8087	183	34	mwtp	mwtp	NOUN
bae-8087	183	35	and	and	CCONJ
bae-8087	183	36	the	the	DET
bae-8087	183	37	latent	latent	NOUN
bae-8087	183	38	variable	variable	NOUN
bae-8087	183	39	in	in	ADP
bae-8087	183	40	the	the	DET
bae-8087	183	41	left	left	ADJ
bae-8087	183	42	panel	panel	NOUN
bae-8087	183	43	;	;	PUNCT
bae-8087	183	44	and	and	CCONJ
bae-8087	183	45	,	,	PUNCT
bae-8087	183	46	(	(	PUNCT
bae-8087	183	47	ii	ii	NOUN
bae-8087	183	48	)	)	PUNCT
bae-8087	183	49	the	the	DET
bae-8087	183	50	correlation	correlation	NOUN
bae-8087	183	51	between	between	ADP
bae-8087	183	52	the	the	DET
bae-8087	183	53	actual	actual	ADJ
bae-8087	183	54	mwtp	mwtp	NOUN
bae-8087	183	55	and	and	CCONJ
bae-8087	183	56	the	the	DET
bae-8087	183	57	underlying	underlie	VERB
bae-8087	183	58	continuous	continuous	ADJ
bae-8087	183	59	variable	variable	ADJ
bae-8087	183	60	relat6	relat6	NOUN
bae-8087	183	61	the	the	DET
bae-8087	183	62	loess	loess	NOUN
bae-8087	183	63	method	method	NOUN
bae-8087	183	64	is	be	AUX
bae-8087	183	65	a	a	DET
bae-8087	183	66	non	non	ADJ
bae-8087	183	67	-	-	ADJ
bae-8087	183	68	parametric	parametric	ADJ
bae-8087	183	69	approach	approach	NOUN
bae-8087	183	70	where	where	SCONJ
bae-8087	183	71	fitting	fitting	ADJ
bae-8087	183	72	is	be	AUX
bae-8087	183	73	done	do	VERB
bae-8087	183	74	locally	locally	ADV
bae-8087	183	75	(	(	PUNCT
bae-8087	183	76	in	in	ADP
bae-8087	183	77	our	our	PRON
bae-8087	183	78	case	case	NOUN
bae-8087	183	79	with	with	ADP
bae-8087	183	80	a	a	DET
bae-8087	183	81	neighbourhood	neighbourhood	NOUN
bae-8087	183	82	proportion	proportion	NOUN
bae-8087	183	83	of	of	ADP
bae-8087	183	84	0.4	0.4	NUM
bae-8087	183	85	)	)	PUNCT
bae-8087	183	86	.	.	PUNCT
bae-8087	184	1	the	the	DET
bae-8087	184	2	result	result	NOUN
bae-8087	184	3	is	be	AUX
bae-8087	184	4	a	a	DET
bae-8087	184	5	smooth	smooth	ADJ
bae-8087	184	6	curve	curve	NOUN
bae-8087	184	7	,	,	PUNCT
bae-8087	184	8	which	which	PRON
bae-8087	184	9	makes	make	VERB
bae-8087	184	10	it	it	PRON
bae-8087	184	11	easier	easy	ADJ
bae-8087	184	12	to	to	PART
bae-8087	184	13	detect	detect	VERB
bae-8087	184	14	trends	trend	NOUN
bae-8087	184	15	.	.	PUNCT
bae-8087	185	1	this	this	PRON
bae-8087	185	2	was	be	AUX
bae-8087	185	3	achieved	achieve	VERB
bae-8087	185	4	using	use	VERB
bae-8087	185	5	the	the	DET
bae-8087	185	6	stats	stat	NOUN
bae-8087	185	7	library	library	NOUN
bae-8087	185	8	in	in	ADP
bae-8087	185	9	r	r	NOUN
bae-8087	185	10	.	.	PUNCT
bae-8087	186	1	317the	317the	DET
bae-8087	186	2	use	use	NOUN
bae-8087	186	3	of	of	ADP
bae-8087	186	4	latent	latent	ADJ
bae-8087	186	5	variable	variable	ADJ
bae-8087	186	6	models	model	NOUN
bae-8087	186	7	in	in	ADP
bae-8087	186	8	policy	policy	NOUN
bae-8087	186	9	:	:	PUNCT
bae-8087	186	10	a	a	DET
bae-8087	186	11	road	road	NOUN
bae-8087	186	12	fraught	fraught	ADJ
bae-8087	186	13	with	with	ADP
bae-8087	186	14	peril	peril	NOUN
bae-8087	186	15	?	?	PUNCT
bae-8087	187	1	ing	e	VERB
bae-8087	187	2	to	to	ADP
bae-8087	187	3	the	the	DET
bae-8087	187	4	indicator	indicator	NOUN
bae-8087	187	5	in	in	ADP
bae-8087	187	6	the	the	DET
bae-8087	187	7	right	right	ADJ
bae-8087	187	8	panel	panel	NOUN
bae-8087	187	9	.	.	PUNCT
bae-8087	188	1	as	as	SCONJ
bae-8087	188	2	we	we	PRON
bae-8087	188	3	move	move	VERB
bae-8087	188	4	from	from	ADP
bae-8087	188	5	the	the	DET
bae-8087	188	6	origin	origin	NOUN
bae-8087	188	7	to	to	ADP
bae-8087	188	8	the	the	DET
bae-8087	188	9	right	right	NOUN
bae-8087	188	10	,	,	PUNCT
bae-8087	188	11	the	the	DET
bae-8087	188	12	degree	degree	NOUN
bae-8087	188	13	of	of	ADP
bae-8087	188	14	correlation	correlation	NOUN
bae-8087	188	15	increases	increase	NOUN
bae-8087	188	16	.	.	PUNCT
bae-8087	189	1	the	the	DET
bae-8087	189	2	vertical	vertical	ADJ
bae-8087	189	3	axis	axis	NOUN
bae-8087	189	4	shows	show	VERB
bae-8087	189	5	the	the	DET
bae-8087	189	6	percentage	percentage	NOUN
bae-8087	189	7	point	point	NOUN
bae-8087	189	8	difference	difference	NOUN
bae-8087	189	9	in	in	ADP
bae-8087	189	10	overlap	overlap	NOUN
bae-8087	189	11	relative	relative	ADJ
bae-8087	189	12	to	to	ADP
bae-8087	189	13	the	the	DET
bae-8087	189	14	mxl	mxl	PROPN
bae-8087	189	15	model	model	NOUN
bae-8087	189	16	,	,	PUNCT
bae-8087	189	17	meaning	mean	VERB
bae-8087	189	18	that	that	SCONJ
bae-8087	189	19	a	a	DET
bae-8087	189	20	move	move	NOUN
bae-8087	189	21	up	up	ADP
bae-8087	189	22	this	this	DET
bae-8087	189	23	axis	axis	NOUN
bae-8087	189	24	signifies	signifie	NOUN
bae-8087	189	25	that	that	SCONJ
bae-8087	189	26	the	the	DET
bae-8087	189	27	candidate	candidate	NOUN
bae-8087	189	28	model	model	NOUN
bae-8087	189	29	does	do	VERB
bae-8087	189	30	better	well	ADV
bae-8087	189	31	at	at	ADP
bae-8087	189	32	predicting	predict	VERB
bae-8087	189	33	the	the	DET
bae-8087	189	34	true	true	ADJ
bae-8087	189	35	mwtp	mwtp	NOUN
bae-8087	189	36	distribution	distribution	NOUN
bae-8087	189	37	relative	relative	ADJ
bae-8087	189	38	to	to	ADP
bae-8087	189	39	the	the	DET
bae-8087	189	40	mxl	mxl	PROPN
bae-8087	189	41	model	model	NOUN
bae-8087	189	42	.	.	PUNCT
bae-8087	190	1	as	as	SCONJ
bae-8087	190	2	might	might	AUX
bae-8087	190	3	be	be	AUX
bae-8087	190	4	expected	expect	VERB
bae-8087	190	5	,	,	PUNCT
bae-8087	190	6	a	a	DET
bae-8087	190	7	visual	visual	ADJ
bae-8087	190	8	inspection	inspection	NOUN
bae-8087	190	9	of	of	ADP
bae-8087	190	10	figures	figure	NOUN
bae-8087	190	11	1	1	NUM
bae-8087	190	12	-	-	SYM
bae-8087	190	13	3	3	NUM
bae-8087	190	14	reveals	reveal	VERB
bae-8087	190	15	that	that	SCONJ
bae-8087	190	16	all	all	DET
bae-8087	190	17	models	model	NOUN
bae-8087	190	18	generally	generally	ADV
bae-8087	190	19	retrieve	retrieve	VERB
bae-8087	190	20	the	the	DET
bae-8087	190	21	same	same	ADJ
bae-8087	190	22	mwtp	mwtp	NOUN
bae-8087	190	23	distributions	distribution	NOUN
bae-8087	190	24	when	when	SCONJ
bae-8087	190	25	the	the	DET
bae-8087	190	26	correlation	correlation	NOUN
bae-8087	190	27	between	between	ADP
bae-8087	190	28	mwtp	mwtp	NOUN
bae-8087	190	29	and	and	CCONJ
bae-8087	190	30	either	either	CCONJ
bae-8087	190	31	the	the	DET
bae-8087	190	32	latent	latent	NOUN
bae-8087	190	33	variable	variable	NOUN
bae-8087	190	34	or	or	CCONJ
bae-8087	190	35	indicator	indicator	NOUN
bae-8087	190	36	is	be	AUX
bae-8087	190	37	low	low	ADJ
bae-8087	190	38	.	.	PUNCT
bae-8087	191	1	but	but	CCONJ
bae-8087	191	2	,	,	PUNCT
bae-8087	191	3	as	as	ADP
bae-8087	191	4	the	the	DET
bae-8087	191	5	degree	degree	NOUN
bae-8087	191	6	of	of	ADP
bae-8087	191	7	correlation	correlation	NOUN
bae-8087	191	8	increases	increase	NOUN
bae-8087	191	9	,	,	PUNCT
bae-8087	191	10	we	we	PRON
bae-8087	191	11	can	can	AUX
bae-8087	191	12	see	see	VERB
bae-8087	191	13	that	that	SCONJ
bae-8087	191	14	the	the	DET
bae-8087	191	15	models	model	NOUN
bae-8087	191	16	that	that	PRON
bae-8087	191	17	accommodate	accommodate	NOUN
bae-8087	191	18	correlated	correlate	VERB
bae-8087	191	19	random	random	ADJ
bae-8087	191	20	parameters	parameter	NOUN
bae-8087	191	21	and/or	and/or	CCONJ
bae-8087	191	22	environmental	environmental	ADJ
bae-8087	191	23	tendency	tendency	NOUN
bae-8087	191	24	(	(	PUNCT
bae-8087	191	25	either	either	CCONJ
bae-8087	191	26	directly	directly	ADV
bae-8087	191	27	or	or	CCONJ
bae-8087	191	28	indirectly	indirectly	ADV
bae-8087	191	29	)	)	PUNCT
bae-8087	191	30	are	be	AUX
bae-8087	191	31	better	well	ADJ
bae-8087	191	32	at	at	ADP
bae-8087	191	33	explaining	explain	VERB
bae-8087	191	34	the	the	DET
bae-8087	191	35	true	true	ADJ
bae-8087	191	36	mwtp	mwtp	NOUN
bae-8087	191	37	distributions	distribution	NOUN
bae-8087	191	38	.	.	PUNCT
bae-8087	192	1	recall	recall	VERB
bae-8087	192	2	the	the	DET
bae-8087	192	3	discussion	discussion	NOUN
bae-8087	192	4	relating	relate	VERB
bae-8087	192	5	to	to	ADP
bae-8087	192	6	the	the	DET
bae-8087	192	7	switching	switch	VERB
bae-8087	192	8	signs	sign	NOUN
bae-8087	192	9	for	for	ADP
bae-8087	192	10	the	the	DET
bae-8087	192	11	bias	bias	NOUN
bae-8087	192	12	in	in	ADP
bae-8087	192	13	the	the	DET
bae-8087	192	14	standard	standard	ADJ
bae-8087	192	15	deviation	deviation	NOUN
bae-8087	192	16	of	of	ADP
bae-8087	192	17	the	the	DET
bae-8087	192	18	latent	latent	NOUN
bae-8087	192	19	variable	variable	NOUN
bae-8087	192	20	and	and	CCONJ
bae-8087	192	21	the	the	DET
bae-8087	192	22	interaction	interaction	NOUN
bae-8087	192	23	of	of	ADP
bae-8087	192	24	the	the	DET
bae-8087	192	25	latent	latent	NOUN
bae-8087	192	26	variable	variable	NOUN
bae-8087	192	27	;	;	PUNCT
bae-8087	192	28	figure	figure	NOUN
bae-8087	192	29	1	1	NUM
bae-8087	192	30	.	.	PUNCT
bae-8087	192	31	percentage	percentage	NOUN
bae-8087	192	32	point	point	NOUN
bae-8087	192	33	difference	difference	NOUN
bae-8087	192	34	in	in	ADP
bae-8087	192	35	overlap	overlap	NOUN
bae-8087	192	36	of	of	ADP
bae-8087	192	37	mwtp	mwtp	NOUN
bae-8087	192	38	distributions	distribution	NOUN
bae-8087	192	39	relative	relative	ADJ
bae-8087	192	40	to	to	ADP
bae-8087	192	41	the	the	DET
bae-8087	192	42	true	true	ADJ
bae-8087	192	43	mwtp	mwtp	NOUN
bae-8087	192	44	distribution	distribution	NOUN
bae-8087	192	45	for	for	ADP
bae-8087	192	46	area	area	NOUN
bae-8087	192	47	.	.	PUNCT
bae-8087	193	1	figure	figure	NOUN
bae-8087	193	2	2	2	NUM
bae-8087	193	3	.	.	NOUN
bae-8087	193	4	percentage	percentage	NOUN
bae-8087	193	5	point	point	NOUN
bae-8087	193	6	difference	difference	NOUN
bae-8087	193	7	in	in	ADP
bae-8087	193	8	overlap	overlap	NOUN
bae-8087	193	9	of	of	ADP
bae-8087	193	10	mwtp	mwtp	NOUN
bae-8087	193	11	distributions	distribution	NOUN
bae-8087	193	12	relative	relative	ADJ
bae-8087	193	13	to	to	ADP
bae-8087	193	14	the	the	DET
bae-8087	193	15	true	true	ADJ
bae-8087	193	16	mwtp	mwtp	NOUN
bae-8087	193	17	distribution	distribution	NOUN
bae-8087	193	18	for	for	ADP
bae-8087	193	19	broadleaf	broadleaf	NOUN
bae-8087	193	20	.	.	PUNCT
bae-8087	194	1	318	318	NUM
bae-8087	194	2	danny	danny	PROPN
bae-8087	194	3	campbell	campbell	PROPN
bae-8087	194	4	,	,	PUNCT
bae-8087	194	5	erlend	erlend	VERB
bae-8087	194	6	dancke	dancke	PROPN
bae-8087	194	7	sandorf	sandorf	PROPN
bae-8087	194	8	this	this	DET
bae-8087	194	9	switch	switch	NOUN
bae-8087	194	10	does	do	AUX
bae-8087	194	11	not	not	PART
bae-8087	194	12	appear	appear	VERB
bae-8087	194	13	to	to	PART
bae-8087	194	14	affect	affect	VERB
bae-8087	194	15	the	the	DET
bae-8087	194	16	estimation	estimation	NOUN
bae-8087	194	17	of	of	ADP
bae-8087	194	18	mwtp	mwtp	NOUN
bae-8087	194	19	.	.	PUNCT
bae-8087	195	1	relatively	relatively	ADV
bae-8087	195	2	speaking	speak	VERB
bae-8087	195	3	,	,	PUNCT
bae-8087	195	4	for	for	ADP
bae-8087	195	5	the	the	DET
bae-8087	195	6	most	most	ADJ
bae-8087	195	7	part	part	NOUN
bae-8087	195	8	,	,	PUNCT
bae-8087	195	9	the	the	DET
bae-8087	195	10	lvmxl	lvmxl	PROPN
bae-8087	195	11	and	and	CCONJ
bae-8087	195	12	lvmxl	lvmxl	PROPN
bae-8087	195	13	-	-	PUNCT
bae-8087	195	14	corr	corr	NOUN
bae-8087	195	15	curves	curve	NOUN
bae-8087	195	16	are	be	AUX
bae-8087	195	17	closely	closely	ADV
bae-8087	195	18	aligned	align	VERB
bae-8087	195	19	.	.	PUNCT
bae-8087	196	1	focusing	focus	VERB
bae-8087	196	2	on	on	ADP
bae-8087	196	3	figure	figure	NOUN
bae-8087	196	4	1	1	NUM
bae-8087	196	5	,	,	PUNCT
bae-8087	196	6	we	we	PRON
bae-8087	196	7	see	see	VERB
bae-8087	196	8	that	that	SCONJ
bae-8087	196	9	as	as	SCONJ
bae-8087	196	10	the	the	DET
bae-8087	196	11	correlation	correlation	NOUN
bae-8087	196	12	with	with	ADP
bae-8087	196	13	the	the	DET
bae-8087	196	14	latent	latent	NOUN
bae-8087	196	15	variable	variable	NOUN
bae-8087	196	16	(	(	PUNCT
bae-8087	196	17	left	leave	VERB
bae-8087	196	18	panel	panel	NOUN
bae-8087	196	19	)	)	PUNCT
bae-8087	196	20	increases	increase	VERB
bae-8087	196	21	beyond	beyond	ADP
bae-8087	196	22	0.2	0.2	NUM
bae-8087	196	23	,	,	PUNCT
bae-8087	196	24	the	the	DET
bae-8087	196	25	models	model	NOUN
bae-8087	196	26	that	that	PRON
bae-8087	196	27	directly	directly	ADV
bae-8087	196	28	or	or	CCONJ
bae-8087	196	29	indirectly	indirectly	ADV
bae-8087	196	30	include	include	VERB
bae-8087	196	31	the	the	DET
bae-8087	196	32	indicator	indicator	NOUN
bae-8087	196	33	outperform	outperform	VERB
bae-8087	196	34	the	the	DET
bae-8087	196	35	mxl	mxl	PROPN
bae-8087	196	36	and	and	CCONJ
bae-8087	196	37	mxl	mxl	PROPN
bae-8087	196	38	-	-	PUNCT
bae-8087	196	39	corr	corr	PROPN
bae-8087	196	40	models	model	NOUN
bae-8087	196	41	.	.	PUNCT
bae-8087	197	1	this	this	PRON
bae-8087	197	2	is	be	AUX
bae-8087	197	3	an	an	DET
bae-8087	197	4	important	important	ADJ
bae-8087	197	5	finding	finding	NOUN
bae-8087	197	6	,	,	PUNCT
bae-8087	197	7	since	since	SCONJ
bae-8087	197	8	it	it	PRON
bae-8087	197	9	suggests	suggest	VERB
bae-8087	197	10	that	that	SCONJ
bae-8087	197	11	simply	simply	ADV
bae-8087	197	12	allowing	allow	VERB
bae-8087	197	13	for	for	ADP
bae-8087	197	14	correlation	correlation	NOUN
bae-8087	197	15	does	do	AUX
bae-8087	197	16	not	not	PART
bae-8087	197	17	,	,	PUNCT
bae-8087	197	18	in	in	ADP
bae-8087	197	19	itself	itself	PRON
bae-8087	197	20	,	,	PUNCT
bae-8087	197	21	allow	allow	VERB
bae-8087	197	22	us	we	PRON
bae-8087	197	23	to	to	PART
bae-8087	197	24	recover	recover	VERB
bae-8087	197	25	the	the	DET
bae-8087	197	26	correct	correct	ADJ
bae-8087	197	27	mwtp	mwtp	NOUN
bae-8087	197	28	distribution	distribution	NOUN
bae-8087	197	29	.	.	PUNCT
bae-8087	198	1	however	however	ADV
bae-8087	198	2	,	,	PUNCT
bae-8087	198	3	it	it	PRON
bae-8087	198	4	must	must	AUX
bae-8087	198	5	be	be	AUX
bae-8087	198	6	noted	note	VERB
bae-8087	198	7	that	that	SCONJ
bae-8087	198	8	this	this	DET
bae-8087	198	9	result	result	NOUN
bae-8087	198	10	is	be	AUX
bae-8087	198	11	strongest	strong	ADJ
bae-8087	198	12	in	in	ADP
bae-8087	198	13	cases	case	NOUN
bae-8087	198	14	where	where	SCONJ
bae-8087	198	15	the	the	DET
bae-8087	198	16	correlation	correlation	NOUN
bae-8087	198	17	with	with	ADP
bae-8087	198	18	the	the	DET
bae-8087	198	19	latent	latent	NOUN
bae-8087	198	20	variable	variable	NOUN
bae-8087	198	21	is	be	AUX
bae-8087	198	22	moderate	moderate	ADJ
bae-8087	198	23	.	.	PUNCT
bae-8087	199	1	as	as	SCONJ
bae-8087	199	2	the	the	DET
bae-8087	199	3	strength	strength	NOUN
bae-8087	199	4	of	of	ADP
bae-8087	199	5	the	the	DET
bae-8087	199	6	relationship	relationship	NOUN
bae-8087	199	7	gets	get	VERB
bae-8087	199	8	very	very	ADV
bae-8087	199	9	high	high	ADJ
bae-8087	199	10	(	(	PUNCT
bae-8087	199	11	ρ>0.6	ρ>0.6	NUM
bae-8087	199	12	)	)	PUNCT
bae-8087	199	13	there	there	PRON
bae-8087	199	14	is	be	VERB
bae-8087	199	15	a	a	DET
bae-8087	199	16	clear	clear	ADJ
bae-8087	199	17	turning	turning	NOUN
bae-8087	199	18	point	point	NOUN
bae-8087	199	19	,	,	PUNCT
bae-8087	199	20	indicating	indicate	VERB
bae-8087	199	21	that	that	SCONJ
bae-8087	199	22	the	the	DET
bae-8087	199	23	relative	relative	ADJ
bae-8087	199	24	importance	importance	NOUN
bae-8087	199	25	of	of	ADP
bae-8087	199	26	directly	directly	ADV
bae-8087	199	27	or	or	CCONJ
bae-8087	199	28	indirectly	indirectly	ADV
bae-8087	199	29	including	include	VERB
bae-8087	199	30	the	the	DET
bae-8087	199	31	indicator	indicator	NOUN
bae-8087	199	32	lessens	lessen	VERB
bae-8087	199	33	.	.	PUNCT
bae-8087	200	1	but	but	CCONJ
bae-8087	200	2	this	this	DET
bae-8087	200	3	same	same	ADJ
bae-8087	200	4	finding	finding	NOUN
bae-8087	200	5	is	be	AUX
bae-8087	200	6	not	not	PART
bae-8087	200	7	observed	observe	VERB
bae-8087	200	8	for	for	ADP
bae-8087	200	9	the	the	DET
bae-8087	200	10	mxl	mxl	PROPN
bae-8087	200	11	-	-	PUNCT
bae-8087	200	12	corr	corr	PROPN
bae-8087	200	13	model	model	NOUN
bae-8087	200	14	,	,	PUNCT
bae-8087	200	15	to	to	ADP
bae-8087	200	16	the	the	DET
bae-8087	200	17	extent	extent	NOUN
bae-8087	200	18	that	that	PRON
bae-8087	200	19	just	just	ADV
bae-8087	200	20	allowing	allow	VERB
bae-8087	200	21	for	for	ADP
bae-8087	200	22	correlated	correlate	VERB
bae-8087	200	23	random	random	ADJ
bae-8087	200	24	parameters	parameter	NOUN
bae-8087	200	25	does	do	VERB
bae-8087	200	26	all	all	PRON
bae-8087	200	27	most	most	ADV
bae-8087	200	28	just	just	ADV
bae-8087	200	29	as	as	ADV
bae-8087	200	30	well	well	ADV
bae-8087	200	31	at	at	ADP
bae-8087	200	32	retrieving	retrieve	VERB
bae-8087	200	33	the	the	DET
bae-8087	200	34	correct	correct	ADJ
bae-8087	200	35	mwtp	mwtp	NOUN
bae-8087	200	36	to	to	PART
bae-8087	200	37	pay	pay	VERB
bae-8087	200	38	distribution	distribution	NOUN
bae-8087	200	39	.	.	PUNCT
bae-8087	201	1	importantly	importantly	ADV
bae-8087	201	2	,	,	PUNCT
bae-8087	201	3	this	this	PRON
bae-8087	201	4	suggests	suggest	VERB
bae-8087	201	5	that	that	SCONJ
bae-8087	201	6	if	if	SCONJ
bae-8087	201	7	the	the	DET
bae-8087	201	8	analyst	analyst	NOUN
bae-8087	201	9	believes	believe	VERB
bae-8087	201	10	that	that	SCONJ
bae-8087	201	11	most	most	ADJ
bae-8087	201	12	,	,	PUNCT
bae-8087	201	13	if	if	SCONJ
bae-8087	201	14	not	not	PART
bae-8087	201	15	all	all	PRON
bae-8087	201	16	,	,	PUNCT
bae-8087	201	17	of	of	ADP
bae-8087	201	18	the	the	DET
bae-8087	201	19	correlation	correlation	NOUN
bae-8087	201	20	between	between	ADP
bae-8087	201	21	the	the	DET
bae-8087	201	22	random	random	ADJ
bae-8087	201	23	parameters	parameter	NOUN
bae-8087	201	24	are	be	AUX
bae-8087	201	25	caused	cause	VERB
bae-8087	201	26	by	by	ADP
bae-8087	201	27	a	a	DET
bae-8087	201	28	single	single	ADJ
bae-8087	201	29	unobserved	unobserved	ADJ
bae-8087	201	30	latent	latent	NOUN
bae-8087	201	31	variable	variable	NOUN
bae-8087	201	32	,	,	PUNCT
bae-8087	201	33	and	and	CCONJ
bae-8087	201	34	that	that	SCONJ
bae-8087	201	35	the	the	DET
bae-8087	201	36	effect	effect	NOUN
bae-8087	201	37	of	of	ADP
bae-8087	201	38	this	this	DET
bae-8087	201	39	variable	variable	NOUN
bae-8087	201	40	is	be	AUX
bae-8087	201	41	sufficiently	sufficiently	ADV
bae-8087	201	42	strong	strong	ADJ
bae-8087	201	43	,	,	PUNCT
bae-8087	201	44	then	then	ADV
bae-8087	201	45	simply	simply	ADV
bae-8087	201	46	estimating	estimate	VERB
bae-8087	201	47	a	a	DET
bae-8087	201	48	standard	standard	ADJ
bae-8087	201	49	mixed	mixed	ADJ
bae-8087	201	50	logit	logit	NOUN
bae-8087	201	51	model	model	NOUN
bae-8087	201	52	with	with	ADP
bae-8087	201	53	a	a	DET
bae-8087	201	54	full	full	ADJ
bae-8087	201	55	correlation	correlation	NOUN
bae-8087	201	56	structure	structure	NOUN
bae-8087	201	57	may	may	AUX
bae-8087	201	58	be	be	AUX
bae-8087	201	59	sufficient	sufficient	ADJ
bae-8087	201	60	if	if	SCONJ
bae-8087	201	61	mwtp	mwtp	NOUN
bae-8087	201	62	is	be	AUX
bae-8087	201	63	the	the	DET
bae-8087	201	64	key	key	ADJ
bae-8087	201	65	measure	measure	NOUN
bae-8087	201	66	of	of	ADP
bae-8087	201	67	interest	interest	NOUN
bae-8087	201	68	.	.	PUNCT
bae-8087	202	1	though	though	ADV
bae-8087	202	2	,	,	PUNCT
bae-8087	202	3	of	of	ADP
bae-8087	202	4	course	course	NOUN
bae-8087	202	5	,	,	PUNCT
bae-8087	202	6	this	this	PRON
bae-8087	202	7	comes	come	VERB
bae-8087	202	8	at	at	ADP
bae-8087	202	9	the	the	DET
bae-8087	202	10	expense	expense	NOUN
bae-8087	202	11	of	of	ADP
bae-8087	202	12	not	not	PART
bae-8087	202	13	knowing	know	VERB
bae-8087	202	14	the	the	DET
bae-8087	202	15	underlying	underlie	VERB
bae-8087	202	16	source	source	NOUN
bae-8087	202	17	of	of	ADP
bae-8087	202	18	heterogeneity	heterogeneity	NOUN
bae-8087	202	19	,	,	PUNCT
bae-8087	202	20	which	which	PRON
bae-8087	202	21	may	may	AUX
bae-8087	202	22	,	,	PUNCT
bae-8087	202	23	or	or	CCONJ
bae-8087	202	24	may	may	AUX
bae-8087	202	25	not	not	PART
bae-8087	202	26	,	,	PUNCT
bae-8087	202	27	be	be	AUX
bae-8087	202	28	of	of	ADP
bae-8087	202	29	interest	interest	NOUN
bae-8087	202	30	.	.	PUNCT
bae-8087	203	1	we	we	PRON
bae-8087	203	2	also	also	ADV
bae-8087	203	3	observe	observe	VERB
bae-8087	203	4	that	that	SCONJ
bae-8087	203	5	the	the	DET
bae-8087	203	6	mxlind	mxlind	NOUN
bae-8087	203	7	and	and	CCONJ
bae-8087	203	8	mxlind	mxlind	NOUN
bae-8087	203	9	-	-	PUNCT
bae-8087	203	10	corr	corr	PROPN
bae-8087	203	11	are	be	AUX
bae-8087	203	12	better	well	ADJ
bae-8087	203	13	able	able	ADJ
bae-8087	203	14	to	to	PART
bae-8087	203	15	uncover	uncover	VERB
bae-8087	203	16	the	the	DET
bae-8087	203	17	true	true	ADJ
bae-8087	203	18	mwtp	mwtp	NOUN
bae-8087	203	19	distribution	distribution	NOUN
bae-8087	203	20	compared	compare	VERB
bae-8087	203	21	to	to	ADP
bae-8087	203	22	the	the	DET
bae-8087	203	23	lvmxl	lvmxl	PROPN
bae-8087	203	24	and	and	CCONJ
bae-8087	203	25	lvmxl	lvmxl	PROPN
bae-8087	203	26	-	-	PUNCT
bae-8087	203	27	corr	corr	PROPN
bae-8087	203	28	,	,	PUNCT
bae-8087	203	29	respectively	respectively	ADV
bae-8087	203	30	,	,	PUNCT
bae-8087	203	31	when	when	SCONJ
bae-8087	203	32	the	the	DET
bae-8087	203	33	strength	strength	NOUN
bae-8087	203	34	of	of	ADP
bae-8087	203	35	relationship	relationship	NOUN
bae-8087	203	36	between	between	ADP
bae-8087	203	37	the	the	DET
bae-8087	203	38	latent	latent	NOUN
bae-8087	203	39	variable	variable	NOUN
bae-8087	203	40	and	and	CCONJ
bae-8087	203	41	mwtp	mwtp	NOUN
bae-8087	203	42	is	be	AUX
bae-8087	203	43	weak	weak	ADJ
bae-8087	203	44	or	or	CCONJ
bae-8087	203	45	moderate	moderate	ADJ
bae-8087	203	46	.	.	PUNCT
bae-8087	204	1	as	as	ADP
bae-8087	204	2	the	the	DET
bae-8087	204	3	strength	strength	NOUN
bae-8087	204	4	of	of	ADP
bae-8087	204	5	relationship	relationship	NOUN
bae-8087	204	6	increases	increase	NOUN
bae-8087	204	7	,	,	PUNCT
bae-8087	204	8	however	however	ADV
bae-8087	204	9	,	,	PUNCT
bae-8087	204	10	we	we	PRON
bae-8087	204	11	remark	remark	VERB
bae-8087	204	12	that	that	SCONJ
bae-8087	204	13	this	this	PRON
bae-8087	204	14	no	no	ADV
bae-8087	204	15	longer	long	ADV
bae-8087	204	16	holds	hold	VERB
bae-8087	204	17	.	.	PUNCT
bae-8087	205	1	this	this	DET
bae-8087	205	2	additional	additional	ADJ
bae-8087	205	3	insight	insight	NOUN
bae-8087	205	4	implies	imply	VERB
bae-8087	205	5	that	that	SCONJ
bae-8087	205	6	the	the	DET
bae-8087	205	7	relative	relative	ADJ
bae-8087	205	8	advantage	advantage	NOUN
bae-8087	205	9	of	of	ADP
bae-8087	205	10	iclv	iclv	ADJ
bae-8087	205	11	models	model	NOUN
bae-8087	205	12	over	over	ADP
bae-8087	205	13	simpler	simple	ADJ
bae-8087	205	14	models	model	NOUN
bae-8087	205	15	to	to	PART
bae-8087	205	16	retrieve	retrieve	VERB
bae-8087	205	17	the	the	DET
bae-8087	205	18	correct	correct	ADJ
bae-8087	205	19	mwtp	mwtp	NOUN
bae-8087	205	20	distribution	distribution	NOUN
bae-8087	205	21	is	be	AUX
bae-8087	205	22	dependent	dependent	ADJ
bae-8087	205	23	on	on	ADP
bae-8087	205	24	the	the	DET
bae-8087	205	25	strength	strength	NOUN
bae-8087	205	26	of	of	ADP
bae-8087	205	27	the	the	DET
bae-8087	205	28	role	role	NOUN
bae-8087	205	29	that	that	PRON
bae-8087	205	30	the	the	DET
bae-8087	205	31	latent	latent	NOUN
bae-8087	205	32	variable	variable	NOUN
bae-8087	205	33	plays	play	VERB
bae-8087	205	34	on	on	ADP
bae-8087	205	35	the	the	DET
bae-8087	205	36	distribution	distribution	NOUN
bae-8087	205	37	.	.	PUNCT
bae-8087	206	1	while	while	SCONJ
bae-8087	206	2	not	not	PART
bae-8087	206	3	a	a	DET
bae-8087	206	4	surprising	surprising	ADJ
bae-8087	206	5	finding	finding	NOUN
bae-8087	206	6	,	,	PUNCT
bae-8087	206	7	it	it	PRON
bae-8087	206	8	reinforces	reinforce	VERB
bae-8087	206	9	the	the	DET
bae-8087	206	10	need	need	NOUN
bae-8087	206	11	to	to	PART
bae-8087	206	12	think	think	VERB
bae-8087	206	13	twice	twice	ADV
bae-8087	206	14	about	about	ADP
bae-8087	206	15	using	use	VERB
bae-8087	206	16	hybrid	hybrid	ADJ
bae-8087	206	17	choice	choice	NOUN
bae-8087	206	18	models	model	NOUN
bae-8087	206	19	in	in	ADP
bae-8087	206	20	situations	situation	NOUN
bae-8087	206	21	where	where	SCONJ
bae-8087	206	22	it	it	PRON
bae-8087	206	23	is	be	AUX
bae-8087	206	24	believed	believe	VERB
bae-8087	206	25	that	that	SCONJ
bae-8087	206	26	the	the	DET
bae-8087	206	27	latent	latent	NOUN
bae-8087	206	28	variable	variable	NOUN
bae-8087	206	29	is	be	AUX
bae-8087	206	30	weakly	weakly	ADV
bae-8087	206	31	related	related	ADJ
bae-8087	206	32	.	.	PUNCT
bae-8087	207	1	these	these	DET
bae-8087	207	2	findings	finding	NOUN
bae-8087	207	3	are	be	AUX
bae-8087	207	4	perhaps	perhaps	ADV
bae-8087	207	5	better	well	ADV
bae-8087	207	6	illustrated	illustrate	VERB
bae-8087	207	7	when	when	SCONJ
bae-8087	207	8	the	the	DET
bae-8087	207	9	change	change	NOUN
bae-8087	207	10	in	in	ADP
bae-8087	207	11	overlap	overlap	NOUN
bae-8087	207	12	is	be	AUX
bae-8087	207	13	plotted	plot	VERB
bae-8087	207	14	against	against	ADP
bae-8087	207	15	the	the	DET
bae-8087	207	16	correlation	correlation	NOUN
bae-8087	207	17	with	with	ADP
bae-8087	207	18	the	the	DET
bae-8087	207	19	indicator	indicator	NOUN
bae-8087	207	20	.	.	PUNCT
bae-8087	208	1	the	the	DET
bae-8087	208	2	downward	downward	ADJ
bae-8087	208	3	turn	turn	NOUN
bae-8087	208	4	figure	figure	NOUN
bae-8087	208	5	3	3	NUM
bae-8087	208	6	.	.	NOUN
bae-8087	208	7	percentage	percentage	NOUN
bae-8087	208	8	point	point	NOUN
bae-8087	208	9	difference	difference	NOUN
bae-8087	208	10	in	in	ADP
bae-8087	208	11	overlap	overlap	NOUN
bae-8087	208	12	of	of	ADP
bae-8087	208	13	mwtp	mwtp	NOUN
bae-8087	208	14	distributions	distribution	NOUN
bae-8087	208	15	relative	relative	ADJ
bae-8087	208	16	to	to	ADP
bae-8087	208	17	the	the	DET
bae-8087	208	18	true	true	ADJ
bae-8087	208	19	mwtp	mwtp	NOUN
bae-8087	208	20	distribution	distribution	NOUN
bae-8087	208	21	for	for	ADP
bae-8087	208	22	recreation	recreation	NOUN
bae-8087	208	23	.	.	PUNCT
bae-8087	209	1	319the	319the	DET
bae-8087	209	2	use	use	NOUN
bae-8087	209	3	of	of	ADP
bae-8087	209	4	latent	latent	ADJ
bae-8087	209	5	variable	variable	ADJ
bae-8087	209	6	models	model	NOUN
bae-8087	209	7	in	in	ADP
bae-8087	209	8	policy	policy	NOUN
bae-8087	209	9	:	:	PUNCT
bae-8087	209	10	a	a	DET
bae-8087	209	11	road	road	NOUN
bae-8087	209	12	fraught	fraught	ADJ
bae-8087	209	13	with	with	ADP
bae-8087	209	14	peril	peril	NOUN
bae-8087	209	15	?	?	PUNCT
bae-8087	210	1	towards	towards	ADP
bae-8087	210	2	the	the	DET
bae-8087	210	3	mxl	mxl	PROPN
bae-8087	210	4	baseline	baseline	NOUN
bae-8087	210	5	is	be	AUX
bae-8087	210	6	even	even	ADV
bae-8087	210	7	more	more	ADV
bae-8087	210	8	pronounced	pronounce	VERB
bae-8087	210	9	at	at	ADP
bae-8087	210	10	higher	high	ADJ
bae-8087	210	11	levels	level	NOUN
bae-8087	210	12	of	of	ADP
bae-8087	210	13	correlation	correlation	NOUN
bae-8087	210	14	for	for	ADP
bae-8087	210	15	all	all	PRON
bae-8087	210	16	but	but	SCONJ
bae-8087	210	17	the	the	DET
bae-8087	210	18	mxl	mxl	PROPN
bae-8087	210	19	-	-	PUNCT
bae-8087	210	20	corr	corr	PROPN
bae-8087	210	21	model	model	NOUN
bae-8087	210	22	and	and	CCONJ
bae-8087	210	23	especially	especially	ADV
bae-8087	210	24	so	so	ADV
bae-8087	210	25	for	for	ADP
bae-8087	210	26	the	the	DET
bae-8087	210	27	models	model	NOUN
bae-8087	210	28	that	that	PRON
bae-8087	210	29	directly	directly	ADV
bae-8087	210	30	include	include	VERB
bae-8087	210	31	the	the	DET
bae-8087	210	32	indicator	indicator	NOUN
bae-8087	210	33	responses	response	NOUN
bae-8087	210	34	in	in	ADP
bae-8087	210	35	the	the	DET
bae-8087	210	36	utility	utility	NOUN
bae-8087	210	37	function	function	NOUN
bae-8087	210	38	.	.	PUNCT
bae-8087	211	1	at	at	ADP
bae-8087	211	2	this	this	DET
bae-8087	211	3	point	point	NOUN
bae-8087	211	4	,	,	PUNCT
bae-8087	211	5	recall	recall	VERB
bae-8087	211	6	that	that	SCONJ
bae-8087	211	7	the	the	DET
bae-8087	211	8	“	"	PUNCT
bae-8087	211	9	area	area	NOUN
bae-8087	211	10	”	"	PUNCT
bae-8087	211	11	attribute	attribute	NOUN
bae-8087	211	12	is	be	AUX
bae-8087	211	13	also	also	ADV
bae-8087	211	14	the	the	DET
bae-8087	211	15	one	one	NOUN
bae-8087	211	16	that	that	PRON
bae-8087	211	17	is	be	AUX
bae-8087	211	18	linked	link	VERB
bae-8087	211	19	the	the	DET
bae-8087	211	20	strongest	strong	ADJ
bae-8087	211	21	to	to	ADP
bae-8087	211	22	the	the	DET
bae-8087	211	23	latent	latent	NOUN
bae-8087	211	24	variable	variable	NOUN
bae-8087	211	25	and	and	CCONJ
bae-8087	211	26	the	the	DET
bae-8087	211	27	indicator	indicator	NOUN
bae-8087	211	28	.	.	PUNCT
bae-8087	212	1	this	this	PRON
bae-8087	212	2	explains	explain	VERB
bae-8087	212	3	why	why	SCONJ
bae-8087	212	4	the	the	DET
bae-8087	212	5	difference	difference	NOUN
bae-8087	212	6	between	between	ADP
bae-8087	212	7	the	the	DET
bae-8087	212	8	models	model	NOUN
bae-8087	212	9	are	be	AUX
bae-8087	212	10	so	so	ADV
bae-8087	212	11	stark	stark	ADJ
bae-8087	212	12	and	and	CCONJ
bae-8087	212	13	why	why	SCONJ
bae-8087	212	14	we	we	PRON
bae-8087	212	15	see	see	VERB
bae-8087	212	16	that	that	SCONJ
bae-8087	212	17	this	this	DET
bae-8087	212	18	result	result	NOUN
bae-8087	212	19	is	be	AUX
bae-8087	212	20	mitigated	mitigate	VERB
bae-8087	212	21	as	as	SCONJ
bae-8087	212	22	the	the	DET
bae-8087	212	23	relationship	relationship	NOUN
bae-8087	212	24	between	between	ADP
bae-8087	212	25	mwtp	mwtp	NOUN
bae-8087	212	26	and	and	CCONJ
bae-8087	212	27	the	the	DET
bae-8087	212	28	latent	latent	NOUN
bae-8087	212	29	variable	variable	NOUN
bae-8087	212	30	and	and	CCONJ
bae-8087	212	31	indicator	indicator	NOUN
bae-8087	212	32	becomes	become	VERB
bae-8087	212	33	weaker	weak	ADJ
bae-8087	212	34	.	.	PUNCT
bae-8087	213	1	for	for	ADP
bae-8087	213	2	example	example	NOUN
bae-8087	213	3	,	,	PUNCT
bae-8087	213	4	looking	look	VERB
bae-8087	213	5	at	at	ADP
bae-8087	213	6	the	the	DET
bae-8087	213	7	figures	figure	NOUN
bae-8087	213	8	2	2	NUM
bae-8087	213	9	and	and	CCONJ
bae-8087	213	10	3	3	NUM
bae-8087	213	11	,	,	PUNCT
bae-8087	213	12	where	where	SCONJ
bae-8087	213	13	the	the	DET
bae-8087	213	14	strengths	strength	NOUN
bae-8087	213	15	of	of	ADP
bae-8087	213	16	association	association	NOUN
bae-8087	213	17	are	be	AUX
bae-8087	213	18	lower	low	ADJ
bae-8087	213	19	,	,	PUNCT
bae-8087	213	20	we	we	PRON
bae-8087	213	21	see	see	VERB
bae-8087	213	22	that	that	SCONJ
bae-8087	213	23	the	the	DET
bae-8087	213	24	predicted	predict	VERB
bae-8087	213	25	curves	curve	NOUN
bae-8087	213	26	are	be	AUX
bae-8087	213	27	more	more	ADV
bae-8087	213	28	closely	closely	ADV
bae-8087	213	29	aligned	align	VERB
bae-8087	213	30	and	and	CCONJ
bae-8087	213	31	do	do	AUX
bae-8087	213	32	not	not	PART
bae-8087	213	33	exhibit	exhibit	VERB
bae-8087	213	34	an	an	DET
bae-8087	213	35	inverted	inverted	ADJ
bae-8087	213	36	u	u	NOUN
bae-8087	213	37	-	-	NOUN
bae-8087	213	38	shape	shape	NOUN
bae-8087	213	39	.	.	PUNCT
bae-8087	214	1	this	this	PRON
bae-8087	214	2	implies	imply	VERB
bae-8087	214	3	that	that	SCONJ
bae-8087	214	4	,	,	PUNCT
bae-8087	214	5	for	for	ADP
bae-8087	214	6	these	these	DET
bae-8087	214	7	attributes	attribute	NOUN
bae-8087	214	8	,	,	PUNCT
bae-8087	214	9	models	model	NOUN
bae-8087	214	10	that	that	PRON
bae-8087	214	11	include	include	VERB
bae-8087	214	12	the	the	DET
bae-8087	214	13	indicator	indicator	NOUN
bae-8087	214	14	(	(	PUNCT
bae-8087	214	15	either	either	CCONJ
bae-8087	214	16	directly	directly	ADV
bae-8087	214	17	or	or	CCONJ
bae-8087	214	18	indirectly	indirectly	ADV
bae-8087	214	19	)	)	PUNCT
bae-8087	214	20	do	do	AUX
bae-8087	214	21	not	not	PART
bae-8087	214	22	produce	produce	VERB
bae-8087	214	23	markedly	markedly	ADV
bae-8087	214	24	better	well	ADJ
bae-8087	214	25	predictions	prediction	NOUN
bae-8087	214	26	of	of	ADP
bae-8087	214	27	the	the	DET
bae-8087	214	28	mwtp	mwtp	NOUN
bae-8087	214	29	distribution	distribution	NOUN
bae-8087	214	30	compared	compare	VERB
bae-8087	214	31	to	to	ADP
bae-8087	214	32	the	the	DET
bae-8087	214	33	mxl	mxl	PROPN
bae-8087	214	34	-	-	PUNCT
bae-8087	214	35	corr	corr	PROPN
bae-8087	214	36	model	model	NOUN
bae-8087	214	37	,	,	PUNCT
bae-8087	214	38	and	and	CCONJ
bae-8087	214	39	this	this	PRON
bae-8087	214	40	holds	hold	VERB
bae-8087	214	41	irrespective	irrespective	ADV
bae-8087	214	42	of	of	ADP
bae-8087	214	43	the	the	DET
bae-8087	214	44	correlation	correlation	NOUN
bae-8087	214	45	between	between	ADP
bae-8087	214	46	mwtp	mwtp	NOUN
bae-8087	214	47	and	and	CCONJ
bae-8087	214	48	either	either	CCONJ
bae-8087	214	49	the	the	DET
bae-8087	214	50	latent	latent	NOUN
bae-8087	214	51	variable	variable	NOUN
bae-8087	214	52	or	or	CCONJ
bae-8087	214	53	indicator	indicator	NOUN
bae-8087	214	54	.	.	PUNCT
bae-8087	215	1	for	for	ADP
bae-8087	215	2	the	the	DET
bae-8087	215	3	recreation	recreation	NOUN
bae-8087	215	4	attribute	attribute	NOUN
bae-8087	215	5	(	(	PUNCT
bae-8087	215	6	figure	figure	NOUN
bae-8087	215	7	3	3	NUM
bae-8087	215	8	)	)	PUNCT
bae-8087	215	9	,	,	PUNCT
bae-8087	215	10	which	which	PRON
bae-8087	215	11	had	have	VERB
bae-8087	215	12	the	the	DET
bae-8087	215	13	lowest	low	ADJ
bae-8087	215	14	association	association	NOUN
bae-8087	215	15	with	with	ADP
bae-8087	215	16	the	the	DET
bae-8087	215	17	latent	latent	NOUN
bae-8087	215	18	variable	variable	NOUN
bae-8087	215	19	and	and	CCONJ
bae-8087	215	20	indicator	indicator	NOUN
bae-8087	215	21	response	response	NOUN
bae-8087	215	22	,	,	PUNCT
bae-8087	215	23	the	the	DET
bae-8087	215	24	predicted	predict	VERB
bae-8087	215	25	curves	curve	NOUN
bae-8087	215	26	are	be	AUX
bae-8087	215	27	relatively	relatively	ADV
bae-8087	215	28	flat	flat	ADJ
bae-8087	215	29	,	,	PUNCT
bae-8087	215	30	suggesting	suggest	VERB
bae-8087	215	31	that	that	SCONJ
bae-8087	215	32	the	the	DET
bae-8087	215	33	prediction	prediction	NOUN
bae-8087	215	34	of	of	ADP
bae-8087	215	35	the	the	DET
bae-8087	215	36	mwtp	mwtp	NOUN
bae-8087	215	37	distribution	distribution	NOUN
bae-8087	215	38	is	be	AUX
bae-8087	215	39	less	less	ADV
bae-8087	215	40	sensitive	sensitive	ADJ
bae-8087	215	41	to	to	ADP
bae-8087	215	42	which	which	PRON
bae-8087	215	43	of	of	ADP
bae-8087	215	44	candidate	candidate	NOUN
bae-8087	215	45	models	model	NOUN
bae-8087	215	46	is	be	AUX
bae-8087	215	47	used	use	VERB
bae-8087	215	48	.	.	PUNCT
bae-8087	216	1	while	while	SCONJ
bae-8087	216	2	these	these	PRON
bae-8087	216	3	are	be	AUX
bae-8087	216	4	also	also	ADV
bae-8087	216	5	obvious	obvious	ADJ
bae-8087	216	6	findings	finding	NOUN
bae-8087	216	7	,	,	PUNCT
bae-8087	216	8	the	the	DET
bae-8087	216	9	fact	fact	NOUN
bae-8087	216	10	that	that	SCONJ
bae-8087	216	11	we	we	PRON
bae-8087	216	12	are	be	AUX
bae-8087	216	13	able	able	ADJ
bae-8087	216	14	to	to	PART
bae-8087	216	15	retrieve	retrieve	VERB
bae-8087	216	16	,	,	PUNCT
bae-8087	216	17	show	show	VERB
bae-8087	216	18	and	and	CCONJ
bae-8087	216	19	prove	prove	VERB
bae-8087	216	20	them	they	PRON
bae-8087	216	21	through	through	ADP
bae-8087	216	22	our	our	PRON
bae-8087	216	23	simulation	simulation	NOUN
bae-8087	216	24	is	be	AUX
bae-8087	216	25	reassuring	reassure	VERB
bae-8087	216	26	.	.	PUNCT
bae-8087	217	1	in	in	ADP
bae-8087	217	2	generating	generate	VERB
bae-8087	217	3	the	the	DET
bae-8087	217	4	results	result	NOUN
bae-8087	217	5	illustrated	illustrate	VERB
bae-8087	217	6	in	in	ADP
bae-8087	217	7	figures	figure	NOUN
bae-8087	217	8	1	1	NUM
bae-8087	217	9	-	-	SYM
bae-8087	217	10	3	3	NUM
bae-8087	217	11	we	we	PRON
bae-8087	217	12	took	take	VERB
bae-8087	217	13	account	account	NOUN
bae-8087	217	14	of	of	ADP
bae-8087	217	15	all	all	DET
bae-8087	217	16	synthetic	synthetic	ADJ
bae-8087	217	17	individuals	individual	NOUN
bae-8087	217	18	per	per	ADP
bae-8087	217	19	dgp	dgp	NOUN
bae-8087	217	20	.	.	PUNCT
bae-8087	218	1	however	however	ADV
bae-8087	218	2	,	,	PUNCT
bae-8087	218	3	this	this	PRON
bae-8087	218	4	may	may	AUX
bae-8087	218	5	mask	mask	VERB
bae-8087	218	6	the	the	DET
bae-8087	218	7	relative	relative	ADJ
bae-8087	218	8	performance	performance	NOUN
bae-8087	218	9	of	of	ADP
bae-8087	218	10	each	each	DET
bae-8087	218	11	candidate	candidate	NOUN
bae-8087	218	12	model	model	NOUN
bae-8087	218	13	to	to	PART
bae-8087	218	14	correctly	correctly	ADV
bae-8087	218	15	predict	predict	VERB
bae-8087	218	16	mwtp	mwtp	NOUN
bae-8087	218	17	for	for	ADP
bae-8087	218	18	individuals	individual	NOUN
bae-8087	218	19	who	who	PRON
bae-8087	218	20	hold	hold	VERB
bae-8087	218	21	a	a	DET
bae-8087	218	22	particular	particular	ADJ
bae-8087	218	23	environmental	environmental	ADJ
bae-8087	218	24	tendency	tendency	NOUN
bae-8087	218	25	.	.	PUNCT
bae-8087	219	1	indeed	indeed	ADV
bae-8087	219	2	,	,	PUNCT
bae-8087	219	3	one	one	NUM
bae-8087	219	4	of	of	ADP
bae-8087	219	5	the	the	DET
bae-8087	219	6	often	often	ADV
bae-8087	219	7	-	-	PUNCT
bae-8087	219	8	purported	purport	VERB
bae-8087	219	9	advantages	advantage	NOUN
bae-8087	219	10	of	of	ADP
bae-8087	219	11	iclv	iclv	NOUN
bae-8087	219	12	models	model	NOUN
bae-8087	219	13	is	be	AUX
bae-8087	219	14	their	their	PRON
bae-8087	219	15	ability	ability	NOUN
bae-8087	219	16	to	to	PART
bae-8087	219	17	provide	provide	VERB
bae-8087	219	18	additional	additional	ADJ
bae-8087	219	19	insight	insight	NOUN
bae-8087	219	20	on	on	ADP
bae-8087	219	21	preference	preference	NOUN
bae-8087	219	22	heterogeneity	heterogeneity	NOUN
bae-8087	219	23	,	,	PUNCT
bae-8087	219	24	particular	particular	ADJ
bae-8087	219	25	among	among	ADP
bae-8087	219	26	those	those	PRON
bae-8087	219	27	with	with	ADP
bae-8087	219	28	different	different	ADJ
bae-8087	219	29	latent	latent	NOUN
bae-8087	219	30	attitudes	attitude	NOUN
bae-8087	219	31	.	.	PUNCT
bae-8087	220	1	while	while	SCONJ
bae-8087	220	2	,	,	PUNCT
bae-8087	220	3	as	as	SCONJ
bae-8087	220	4	stated	state	VERB
bae-8087	220	5	earlier	early	ADV
bae-8087	220	6	,	,	PUNCT
bae-8087	220	7	we	we	PRON
bae-8087	220	8	should	should	AUX
bae-8087	220	9	be	be	AUX
bae-8087	220	10	prudent	prudent	ADJ
bae-8087	220	11	about	about	ADP
bae-8087	220	12	making	make	VERB
bae-8087	220	13	policy	policy	NOUN
bae-8087	220	14	recommendations	recommendation	NOUN
bae-8087	220	15	on	on	ADP
bae-8087	220	16	the	the	DET
bae-8087	220	17	basis	basis	NOUN
bae-8087	220	18	of	of	ADP
bae-8087	220	19	a	a	DET
bae-8087	220	20	latent	latent	NOUN
bae-8087	220	21	variable	variable	NOUN
bae-8087	220	22	–	–	PUNCT
bae-8087	220	23	as	as	ADV
bae-8087	220	24	well	well	ADV
bae-8087	220	25	as	as	ADP
bae-8087	220	26	the	the	DET
bae-8087	220	27	,	,	PUNCT
bae-8087	220	28	obvious	obvious	ADJ
bae-8087	220	29	,	,	PUNCT
bae-8087	220	30	impracticality	impracticality	NOUN
bae-8087	220	31	,	,	PUNCT
bae-8087	220	32	and	and	CCONJ
bae-8087	220	33	futility	futility	NOUN
bae-8087	220	34	,	,	PUNCT
bae-8087	220	35	of	of	ADP
bae-8087	220	36	targeting	target	VERB
bae-8087	220	37	policy	policy	NOUN
bae-8087	220	38	on	on	ADP
bae-8087	220	39	the	the	DET
bae-8087	220	40	basis	basis	NOUN
bae-8087	220	41	of	of	ADP
bae-8087	220	42	an	an	DET
bae-8087	220	43	indicator	indicator	NOUN
bae-8087	220	44	response	response	NOUN
bae-8087	220	45	–	–	PUNCT
bae-8087	220	46	policy	policy	NOUN
bae-8087	220	47	makers	maker	NOUN
bae-8087	220	48	may	may	AUX
bae-8087	220	49	still	still	ADV
bae-8087	220	50	be	be	AUX
bae-8087	220	51	interested	interested	ADJ
bae-8087	220	52	in	in	ADP
bae-8087	220	53	knowing	know	VERB
bae-8087	220	54	how	how	SCONJ
bae-8087	220	55	members	member	NOUN
bae-8087	220	56	of	of	ADP
bae-8087	220	57	society	society	NOUN
bae-8087	220	58	with	with	ADP
bae-8087	220	59	different	different	ADJ
bae-8087	220	60	environmental	environmental	ADJ
bae-8087	220	61	tendencies	tendency	NOUN
bae-8087	220	62	judge	judge	VERB
bae-8087	220	63	their	their	PRON
bae-8087	220	64	policies	policy	NOUN
bae-8087	220	65	.	.	PUNCT
bae-8087	221	1	for	for	ADP
bae-8087	221	2	this	this	DET
bae-8087	221	3	reason	reason	NOUN
bae-8087	221	4	,	,	PUNCT
bae-8087	221	5	in	in	ADP
bae-8087	221	6	figures	figure	NOUN
bae-8087	221	7	4	4	NUM
bae-8087	221	8	-	-	SYM
bae-8087	221	9	5	5	NUM
bae-8087	221	10	,	,	PUNCT
bae-8087	221	11	we	we	PRON
bae-8087	221	12	plot	plot	VERB
bae-8087	221	13	the	the	DET
bae-8087	221	14	locally	locally	ADV
bae-8087	221	15	regressed	regress	VERB
bae-8087	221	16	and	and	CCONJ
bae-8087	221	17	smoothed	smooth	VERB
bae-8087	221	18	mean	mean	ADJ
bae-8087	221	19	bias	bias	NOUN
bae-8087	221	20	in	in	ADP
bae-8087	221	21	mwtp	mwtp	NOUN
bae-8087	221	22	for	for	ADP
bae-8087	221	23	each	each	DET
bae-8087	221	24	attribute	attribute	NOUN
bae-8087	221	25	against	against	ADP
bae-8087	221	26	the	the	DET
bae-8087	221	27	correlation	correlation	NOUN
bae-8087	221	28	between	between	ADP
bae-8087	221	29	the	the	DET
bae-8087	221	30	attribute	attribute	NOUN
bae-8087	221	31	and	and	CCONJ
bae-8087	221	32	the	the	DET
bae-8087	221	33	latent	latent	NOUN
bae-8087	221	34	variable	variable	NOUN
bae-8087	221	35	broken	break	VERB
bae-8087	221	36	down	down	ADP
bae-8087	221	37	by	by	ADP
bae-8087	221	38	whether	whether	SCONJ
bae-8087	221	39	an	an	DET
bae-8087	221	40	individual	individual	NOUN
bae-8087	221	41	holds	hold	VERB
bae-8087	221	42	anti	anti	ADJ
bae-8087	221	43	,	,	PUNCT
bae-8087	221	44	neutral	neutral	ADJ
bae-8087	221	45	or	or	CCONJ
bae-8087	221	46	pro	pro	ADJ
bae-8087	221	47	-	-	ADJ
bae-8087	221	48	environmental	environmental	ADJ
bae-8087	221	49	tendencies	tendency	NOUN
bae-8087	221	50	,	,	PUNCT
bae-8087	221	51	depicted	depict	VERB
bae-8087	221	52	on	on	ADP
bae-8087	221	53	the	the	DET
bae-8087	221	54	first	first	ADJ
bae-8087	221	55	,	,	PUNCT
bae-8087	221	56	second	second	ADJ
bae-8087	221	57	and	and	CCONJ
bae-8087	221	58	third	third	ADJ
bae-8087	221	59	panel	panel	NOUN
bae-8087	221	60	,	,	PUNCT
bae-8087	221	61	respectively.7	respectively.7	VERB
bae-8087	221	62	for	for	ADP
bae-8087	221	63	comparison	comparison	NOUN
bae-8087	221	64	,	,	PUNCT
bae-8087	221	65	in	in	ADP
bae-8087	221	66	the	the	DET
bae-8087	221	67	fourth	fourth	ADJ
bae-8087	221	68	panel	panel	NOUN
bae-8087	221	69	,	,	PUNCT
bae-8087	221	70	we	we	PRON
bae-8087	221	71	also	also	ADV
bae-8087	221	72	present	present	VERB
bae-8087	221	73	this	this	PRON
bae-8087	221	74	for	for	ADP
bae-8087	221	75	all	all	DET
bae-8087	221	76	individuals	individual	NOUN
bae-8087	221	77	.	.	PUNCT
bae-8087	222	1	looking	look	VERB
bae-8087	222	2	firstly	firstly	ADV
bae-8087	222	3	at	at	ADP
bae-8087	222	4	this	this	DET
bae-8087	222	5	fourth	fourth	ADJ
bae-8087	222	6	panel	panel	NOUN
bae-8087	222	7	,	,	PUNCT
bae-8087	222	8	we	we	PRON
bae-8087	222	9	see	see	VERB
bae-8087	222	10	that	that	SCONJ
bae-8087	222	11	the	the	DET
bae-8087	222	12	curves	curve	NOUN
bae-8087	222	13	essentially	essentially	ADV
bae-8087	222	14	overlap	overlap	VERB
bae-8087	222	15	and	and	CCONJ
bae-8087	222	16	are	be	AUX
bae-8087	222	17	not	not	PART
bae-8087	222	18	significantly	significantly	ADV
bae-8087	222	19	different	different	ADJ
bae-8087	222	20	from	from	ADP
bae-8087	222	21	zero	zero	NUM
bae-8087	222	22	when	when	SCONJ
bae-8087	222	23	the	the	DET
bae-8087	222	24	correlation	correlation	NOUN
bae-8087	222	25	between	between	ADP
bae-8087	222	26	mwtp	mwtp	NOUN
bae-8087	222	27	and	and	CCONJ
bae-8087	222	28	the	the	DET
bae-8087	222	29	latent	latent	NOUN
bae-8087	222	30	variable	variable	NOUN
bae-8087	222	31	is	be	AUX
bae-8087	222	32	weak	weak	ADJ
bae-8087	222	33	or	or	CCONJ
bae-8087	222	34	moderate	moderate	ADJ
bae-8087	222	35	.	.	PUNCT
bae-8087	223	1	in	in	ADP
bae-8087	223	2	these	these	DET
bae-8087	223	3	cases	case	NOUN
bae-8087	223	4	,	,	PUNCT
bae-8087	223	5	the	the	DET
bae-8087	223	6	ability	ability	NOUN
bae-8087	223	7	to	to	PART
bae-8087	223	8	retrieve	retrieve	VERB
bae-8087	223	9	the	the	DET
bae-8087	223	10	mean	mean	ADJ
bae-8087	223	11	mwtp	mwtp	NOUN
bae-8087	223	12	(	(	PUNCT
bae-8087	223	13	across	across	ADP
bae-8087	223	14	all	all	DET
bae-8087	223	15	individuals	individual	NOUN
bae-8087	223	16	)	)	PUNCT
bae-8087	223	17	does	do	AUX
bae-8087	223	18	not	not	PART
bae-8087	223	19	appear	appear	VERB
bae-8087	223	20	to	to	PART
bae-8087	223	21	be	be	AUX
bae-8087	223	22	affected	affect	VERB
bae-8087	223	23	by	by	ADP
bae-8087	223	24	the	the	DET
bae-8087	223	25	degree	degree	NOUN
bae-8087	223	26	of	of	ADP
bae-8087	223	27	correlation	correlation	NOUN
bae-8087	223	28	with	with	ADP
bae-8087	223	29	the	the	DET
bae-8087	223	30	latent	latent	NOUN
bae-8087	223	31	variable	variable	NOUN
bae-8087	223	32	nor	nor	CCONJ
bae-8087	223	33	by	by	ADP
bae-8087	223	34	which	which	PRON
bae-8087	223	35	of	of	ADP
bae-8087	223	36	the	the	DET
bae-8087	223	37	candidate	candidate	NOUN
bae-8087	223	38	models	model	NOUN
bae-8087	223	39	we	we	PRON
bae-8087	223	40	use	use	VERB
bae-8087	223	41	.	.	PUNCT
bae-8087	224	1	as	as	SCONJ
bae-8087	224	2	can	can	AUX
bae-8087	224	3	be	be	AUX
bae-8087	224	4	seen	see	VERB
bae-8087	224	5	in	in	ADP
bae-8087	224	6	figures	figure	NOUN
bae-8087	224	7	4	4	NUM
bae-8087	224	8	-	-	SYM
bae-8087	224	9	5	5	NUM
bae-8087	224	10	,	,	PUNCT
bae-8087	224	11	however	however	ADV
bae-8087	224	12	,	,	PUNCT
bae-8087	224	13	these	these	DET
bae-8087	224	14	curves	curve	NOUN
bae-8087	224	15	begin	begin	VERB
bae-8087	224	16	to	to	PART
bae-8087	224	17	diverge	diverge	VERB
bae-8087	224	18	as	as	ADP
bae-8087	224	19	the	the	DET
bae-8087	224	20	degree	degree	NOUN
bae-8087	224	21	of	of	ADP
bae-8087	224	22	correlation	correlation	NOUN
bae-8087	224	23	increases	increase	NOUN
bae-8087	224	24	(	(	PUNCT
bae-8087	224	25	ρ>0.5	ρ>0.5	NOUN
bae-8087	224	26	)	)	PUNCT
bae-8087	224	27	to	to	ADP
bae-8087	224	28	the	the	DET
bae-8087	224	29	extent	extent	NOUN
bae-8087	224	30	that	that	SCONJ
bae-8087	224	31	some	some	PRON
bae-8087	224	32	are	be	AUX
bae-8087	224	33	significantly	significantly	ADV
bae-8087	224	34	different	different	ADJ
bae-8087	224	35	from	from	ADP
bae-8087	224	36	zero	zero	NUM
bae-8087	224	37	.	.	PUNCT
bae-8087	225	1	this	this	DET
bae-8087	225	2	insight	insight	NOUN
bae-8087	225	3	suggests	suggest	VERB
bae-8087	225	4	that	that	SCONJ
bae-8087	225	5	if	if	SCONJ
bae-8087	225	6	the	the	DET
bae-8087	225	7	main	main	ADJ
bae-8087	225	8	interest	interest	NOUN
bae-8087	225	9	is	be	AUX
bae-8087	225	10	on	on	ADP
bae-8087	225	11	describing	describe	VERB
bae-8087	225	12	the	the	DET
bae-8087	225	13	means	mean	NOUN
bae-8087	225	14	of	of	ADP
bae-8087	225	15	the	the	DET
bae-8087	225	16	posterior	posterior	ADJ
bae-8087	225	17	mwtp	mwtp	NOUN
bae-8087	225	18	distributions	distribution	NOUN
bae-8087	225	19	at	at	ADP
bae-8087	225	20	the	the	DET
bae-8087	225	21	sample	sample	NOUN
bae-8087	225	22	level	level	NOUN
bae-8087	225	23	,	,	PUNCT
bae-8087	225	24	model	model	NOUN
bae-8087	225	25	choice	choice	NOUN
bae-8087	225	26	is	be	AUX
bae-8087	225	27	perhaps	perhaps	ADV
bae-8087	225	28	only	only	ADV
bae-8087	225	29	consequential	consequential	ADJ
bae-8087	225	30	when	when	SCONJ
bae-8087	225	31	the	the	DET
bae-8087	225	32	mwtp	mwtp	NOUN
bae-8087	225	33	distribution	distribution	NOUN
bae-8087	225	34	7	7	NUM
bae-8087	225	35	for	for	ADP
bae-8087	225	36	this	this	PRON
bae-8087	225	37	,	,	PUNCT
bae-8087	225	38	we	we	PRON
bae-8087	225	39	subtract	subtract	VERB
bae-8087	225	40	the	the	DET
bae-8087	225	41	actual	actual	ADJ
bae-8087	225	42	individual	individual	ADJ
bae-8087	225	43	-	-	PUNCT
bae-8087	225	44	specific	specific	ADJ
bae-8087	225	45	mwtp	mwtp	NOUN
bae-8087	225	46	from	from	ADP
bae-8087	225	47	the	the	DET
bae-8087	225	48	mean	mean	NOUN
bae-8087	225	49	of	of	ADP
bae-8087	225	50	the	the	DET
bae-8087	225	51	predicted	predict	VERB
bae-8087	225	52	individual	individual	ADJ
bae-8087	225	53	-	-	PUNCT
bae-8087	225	54	specific	specific	ADJ
bae-8087	225	55	posterior	posterior	ADJ
bae-8087	225	56	mwtp	mwtp	NOUN
bae-8087	225	57	and	and	CCONJ
bae-8087	225	58	take	take	VERB
bae-8087	225	59	the	the	DET
bae-8087	225	60	arithmetic	arithmetic	ADJ
bae-8087	225	61	mean	mean	NOUN
bae-8087	225	62	for	for	ADP
bae-8087	225	63	each	each	DET
bae-8087	225	64	data	data	NOUN
bae-8087	225	65	generation	generation	NOUN
bae-8087	225	66	setting	setting	NOUN
bae-8087	225	67	and	and	CCONJ
bae-8087	225	68	model	model	NOUN
bae-8087	225	69	and	and	CCONJ
bae-8087	225	70	,	,	PUNCT
bae-8087	225	71	again	again	ADV
bae-8087	225	72	,	,	PUNCT
bae-8087	225	73	apply	apply	VERB
bae-8087	225	74	the	the	DET
bae-8087	225	75	loess	loess	NOUN
bae-8087	225	76	method	method	NOUN
bae-8087	225	77	with	with	ADP
bae-8087	225	78	a	a	DET
bae-8087	225	79	smoothing	smooth	VERB
bae-8087	225	80	parameter	parameter	NOUN
bae-8087	225	81	of	of	ADP
bae-8087	225	82	0.4	0.4	NUM
bae-8087	225	83	.	.	PUNCT
bae-8087	226	1	the	the	DET
bae-8087	226	2	results	result	NOUN
bae-8087	226	3	are	be	AUX
bae-8087	226	4	qualitatively	qualitatively	ADV
bae-8087	226	5	similar	similar	ADJ
bae-8087	226	6	for	for	ADP
bae-8087	226	7	correlations	correlation	NOUN
bae-8087	226	8	between	between	ADP
bae-8087	226	9	the	the	DET
bae-8087	226	10	attribute	attribute	NOUN
bae-8087	226	11	and	and	CCONJ
bae-8087	226	12	the	the	DET
bae-8087	226	13	indicator	indicator	NOUN
bae-8087	226	14	and	and	CCONJ
bae-8087	226	15	is	be	AUX
bae-8087	226	16	omitted	omit	VERB
bae-8087	226	17	from	from	ADP
bae-8087	226	18	the	the	DET
bae-8087	226	19	paper	paper	NOUN
bae-8087	226	20	for	for	ADP
bae-8087	226	21	brevity	brevity	NOUN
bae-8087	226	22	,	,	PUNCT
bae-8087	226	23	but	but	CCONJ
bae-8087	226	24	are	be	AUX
bae-8087	226	25	available	available	ADJ
bae-8087	226	26	from	from	ADP
bae-8087	226	27	the	the	DET
bae-8087	226	28	corresponding	corresponding	ADJ
bae-8087	226	29	author	author	NOUN
bae-8087	226	30	upon	upon	SCONJ
bae-8087	226	31	request	request	NOUN
bae-8087	226	32	.	.	PUNCT
bae-8087	227	1	320	320	NUM
bae-8087	227	2	danny	danny	PROPN
bae-8087	227	3	campbell	campbell	PROPN
bae-8087	227	4	,	,	PUNCT
bae-8087	227	5	erlend	erlend	VERB
bae-8087	227	6	dancke	dancke	PROPN
bae-8087	227	7	sandorf	sandorf	PROPN
bae-8087	227	8	is	be	AUX
bae-8087	227	9	believed	believe	VERB
bae-8087	227	10	to	to	PART
bae-8087	227	11	be	be	AUX
bae-8087	227	12	strongly	strongly	ADV
bae-8087	227	13	correlated	correlate	VERB
bae-8087	227	14	with	with	ADP
bae-8087	227	15	the	the	DET
bae-8087	227	16	latent	latent	NOUN
bae-8087	227	17	variable	variable	NOUN
bae-8087	227	18	.	.	PUNCT
bae-8087	228	1	this	this	PRON
bae-8087	228	2	is	be	AUX
bae-8087	228	3	expected	expect	VERB
bae-8087	228	4	given	give	VERB
bae-8087	228	5	the	the	DET
bae-8087	228	6	results	result	NOUN
bae-8087	228	7	above	above	ADV
bae-8087	228	8	and	and	CCONJ
bae-8087	228	9	that	that	SCONJ
bae-8087	228	10	more	more	ADV
bae-8087	228	11	flexible	flexible	ADJ
bae-8087	228	12	models	model	NOUN
bae-8087	228	13	are	be	AUX
bae-8087	228	14	preferred	prefer	VERB
bae-8087	228	15	if	if	SCONJ
bae-8087	228	16	you	you	PRON
bae-8087	228	17	suspect	suspect	VERB
bae-8087	228	18	high	high	ADJ
bae-8087	228	19	degrees	degree	NOUN
bae-8087	228	20	of	of	ADP
bae-8087	228	21	correlation	correlation	NOUN
bae-8087	228	22	between	between	ADP
bae-8087	228	23	mwtp	mwtp	NOUN
bae-8087	228	24	and	and	CCONJ
bae-8087	228	25	the	the	DET
bae-8087	228	26	latent	latent	NOUN
bae-8087	228	27	variable	variable	NOUN
bae-8087	228	28	.	.	PUNCT
bae-8087	229	1	however	however	ADV
bae-8087	229	2	,	,	PUNCT
bae-8087	229	3	the	the	DET
bae-8087	229	4	corresponding	corresponding	ADJ
bae-8087	229	5	curves	curve	NOUN
bae-8087	229	6	produced	produce	VERB
bae-8087	229	7	for	for	ADP
bae-8087	229	8	individuals	individual	NOUN
bae-8087	229	9	who	who	PRON
bae-8087	229	10	hold	hold	VERB
bae-8087	229	11	anti-	anti-	NOUN
bae-8087	229	12	,	,	PUNCT
bae-8087	229	13	neutral	neutral	ADJ
bae-8087	229	14	or	or	CCONJ
bae-8087	229	15	pro	pro	ADJ
bae-8087	229	16	-	-	ADJ
bae-8087	229	17	environmental	environmental	ADJ
bae-8087	229	18	tendencies	tendency	NOUN
bae-8087	229	19	tell	tell	VERB
bae-8087	229	20	a	a	DET
bae-8087	229	21	somewhat	somewhat	ADV
bae-8087	229	22	different	different	ADJ
bae-8087	229	23	story	story	NOUN
bae-8087	229	24	.	.	PUNCT
bae-8087	230	1	only	only	ADV
bae-8087	230	2	when	when	SCONJ
bae-8087	230	3	the	the	DET
bae-8087	230	4	mwtp	mwtp	NOUN
bae-8087	230	5	and	and	CCONJ
bae-8087	230	6	latent	latent	NOUN
bae-8087	230	7	variable	variable	ADJ
bae-8087	230	8	distributions	distribution	NOUN
bae-8087	230	9	are	be	AUX
bae-8087	230	10	uncorrelated	uncorrelated	ADJ
bae-8087	230	11	do	do	AUX
bae-8087	230	12	we	we	PRON
bae-8087	230	13	find	find	VERB
bae-8087	230	14	that	that	SCONJ
bae-8087	230	15	all	all	DET
bae-8087	230	16	models	model	NOUN
bae-8087	230	17	produce	produce	VERB
bae-8087	230	18	relatively	relatively	ADV
bae-8087	230	19	unbiased	unbiased	ADJ
bae-8087	230	20	estimates	estimate	NOUN
bae-8087	230	21	of	of	ADP
bae-8087	230	22	mwtp	mwtp	NOUN
bae-8087	230	23	irrespective	irrespective	ADV
bae-8087	230	24	of	of	ADP
bae-8087	230	25	environmental	environmental	ADJ
bae-8087	230	26	tendency	tendency	NOUN
bae-8087	230	27	.	.	PUNCT
bae-8087	231	1	however	however	ADV
bae-8087	231	2	,	,	PUNCT
bae-8087	231	3	with	with	ADP
bae-8087	231	4	any	any	DET
bae-8087	231	5	degree	degree	NOUN
bae-8087	231	6	of	of	ADP
bae-8087	231	7	correlation	correlation	NOUN
bae-8087	231	8	we	we	PRON
bae-8087	231	9	see	see	VERB
bae-8087	231	10	that	that	SCONJ
bae-8087	231	11	the	the	DET
bae-8087	231	12	mxl	mxl	PROPN
bae-8087	231	13	and	and	CCONJ
bae-8087	231	14	mxl	mxl	PROPN
bae-8087	231	15	-	-	PUNCT
bae-8087	231	16	corr	corr	PROPN
bae-8087	231	17	models	model	NOUN
bae-8087	231	18	produce	produce	VERB
bae-8087	231	19	biased	biased	ADJ
bae-8087	231	20	mwtp	mwtp	NOUN
bae-8087	231	21	estimates	estimate	NOUN
bae-8087	231	22	for	for	ADP
bae-8087	231	23	each	each	DET
bae-8087	231	24	subgroup	subgroup	NOUN
bae-8087	231	25	.	.	PUNCT
bae-8087	232	1	specifically	specifically	ADV
bae-8087	232	2	,	,	PUNCT
bae-8087	232	3	these	these	DET
bae-8087	232	4	models	model	NOUN
bae-8087	232	5	overestimate	overestimate	VERB
bae-8087	232	6	individual	individual	ADJ
bae-8087	232	7	-	-	PUNCT
bae-8087	232	8	specific	specific	ADJ
bae-8087	232	9	mwtp	mwtp	NOUN
bae-8087	232	10	for	for	ADP
bae-8087	232	11	individuals	individual	NOUN
bae-8087	232	12	who	who	PRON
bae-8087	232	13	hold	hold	VERB
bae-8087	232	14	antiand	antiand	CCONJ
bae-8087	232	15	(	(	PUNCT
bae-8087	232	16	albeit	albeit	SCONJ
bae-8087	232	17	to	to	ADP
bae-8087	232	18	a	a	DET
bae-8087	232	19	lesser	less	ADJ
bae-8087	232	20	extent	extent	NOUN
bae-8087	232	21	)	)	PUNCT
bae-8087	232	22	neutral	neutral	ADJ
bae-8087	232	23	environmental	environmental	ADJ
bae-8087	232	24	tendencies	tendency	NOUN
bae-8087	232	25	,	,	PUNCT
bae-8087	232	26	whereas	whereas	SCONJ
bae-8087	232	27	they	they	PRON
bae-8087	232	28	underestimate	underestimate	VERB
bae-8087	232	29	for	for	ADP
bae-8087	232	30	the	the	DET
bae-8087	232	31	subgroup	subgroup	NOUN
bae-8087	232	32	with	with	ADP
bae-8087	232	33	pro	pro	ADJ
bae-8087	232	34	-	-	ADJ
bae-8087	232	35	environmental	environmental	ADJ
bae-8087	232	36	tendencies	tendency	NOUN
bae-8087	232	37	.	.	PUNCT
bae-8087	233	1	an	an	DET
bae-8087	233	2	important	important	ADJ
bae-8087	233	3	figure	figure	NOUN
bae-8087	233	4	4	4	NUM
bae-8087	233	5	.	.	PUNCT
bae-8087	233	6	mean	mean	ADJ
bae-8087	233	7	bias	bias	NOUN
bae-8087	233	8	in	in	ADP
bae-8087	233	9	mwtp	mwtp	NOUN
bae-8087	233	10	broken	break	VERB
bae-8087	233	11	down	down	ADP
bae-8087	233	12	by	by	ADP
bae-8087	233	13	anti-	anti-	NOUN
bae-8087	233	14	,	,	PUNCT
bae-8087	233	15	neutral	neutral	ADJ
bae-8087	233	16	and	and	CCONJ
bae-8087	233	17	pro	pro	ADJ
bae-8087	233	18	-	-	ADJ
bae-8087	233	19	environmental	environmental	ADJ
bae-8087	233	20	tendencies	tendency	NOUN
bae-8087	233	21	for	for	ADP
bae-8087	233	22	area	area	NOUN
bae-8087	233	23	.	.	PUNCT
bae-8087	234	1	figure	figure	NOUN
bae-8087	234	2	5	5	NUM
bae-8087	234	3	.	.	PUNCT
bae-8087	235	1	mean	mean	ADJ
bae-8087	235	2	bias	bias	NOUN
bae-8087	235	3	in	in	ADP
bae-8087	235	4	mwtp	mwtp	NOUN
bae-8087	235	5	broken	break	VERB
bae-8087	235	6	down	down	ADP
bae-8087	235	7	by	by	ADP
bae-8087	235	8	anti-	anti-	NOUN
bae-8087	235	9	,	,	PUNCT
bae-8087	235	10	neutral	neutral	ADJ
bae-8087	235	11	and	and	CCONJ
bae-8087	235	12	pro	pro	ADJ
bae-8087	235	13	-	-	ADJ
bae-8087	235	14	environmental	environmental	ADJ
bae-8087	235	15	tendencies	tendency	NOUN
bae-8087	235	16	for	for	ADP
bae-8087	235	17	broadleaf	broadleaf	NOUN
bae-8087	235	18	.	.	PUNCT
bae-8087	236	1	321the	321the	DET
bae-8087	236	2	use	use	NOUN
bae-8087	236	3	of	of	ADP
bae-8087	236	4	latent	latent	ADJ
bae-8087	236	5	variable	variable	ADJ
bae-8087	236	6	models	model	NOUN
bae-8087	236	7	in	in	ADP
bae-8087	236	8	policy	policy	NOUN
bae-8087	236	9	:	:	PUNCT
bae-8087	236	10	a	a	DET
bae-8087	236	11	road	road	NOUN
bae-8087	236	12	fraught	fraught	ADJ
bae-8087	236	13	with	with	ADP
bae-8087	236	14	peril	peril	NOUN
bae-8087	236	15	?	?	PUNCT
bae-8087	237	1	finding	find	VERB
bae-8087	237	2	for	for	ADP
bae-8087	237	3	analysts	analyst	NOUN
bae-8087	237	4	who	who	PRON
bae-8087	237	5	make	make	VERB
bae-8087	237	6	use	use	NOUN
bae-8087	237	7	of	of	ADP
bae-8087	237	8	individual	individual	ADJ
bae-8087	237	9	-	-	PUNCT
bae-8087	237	10	specific	specific	ADJ
bae-8087	237	11	posterior	posterior	ADJ
bae-8087	237	12	mwtp	mwtp	NOUN
bae-8087	237	13	estimates	estimate	NOUN
bae-8087	237	14	is	be	AUX
bae-8087	237	15	that	that	SCONJ
bae-8087	237	16	the	the	DET
bae-8087	237	17	extent	extent	NOUN
bae-8087	237	18	of	of	ADP
bae-8087	237	19	these	these	DET
bae-8087	237	20	biases	bias	NOUN
bae-8087	237	21	increase	increase	VERB
bae-8087	237	22	with	with	ADP
bae-8087	237	23	the	the	DET
bae-8087	237	24	degree	degree	NOUN
bae-8087	237	25	of	of	ADP
bae-8087	237	26	correlation	correlation	NOUN
bae-8087	237	27	.	.	PUNCT
bae-8087	238	1	while	while	SCONJ
bae-8087	238	2	this	this	DET
bae-8087	238	3	trend	trend	NOUN
bae-8087	238	4	of	of	ADP
bae-8087	238	5	overestimating	overestimate	VERB
bae-8087	238	6	mwtp	mwtp	NOUN
bae-8087	238	7	for	for	ADP
bae-8087	238	8	antias	antias	NOUN
bae-8087	238	9	well	well	ADV
bae-8087	238	10	as	as	ADP
bae-8087	238	11	neutral	neutral	ADJ
bae-8087	238	12	environmental	environmental	ADJ
bae-8087	238	13	tendencies	tendency	NOUN
bae-8087	238	14	and	and	CCONJ
bae-8087	238	15	underestimating	underestimate	VERB
bae-8087	238	16	for	for	ADP
bae-8087	238	17	pro	pro	ADJ
bae-8087	238	18	-	-	ADJ
bae-8087	238	19	environmental	environmental	ADJ
bae-8087	238	20	tendencies	tendency	NOUN
bae-8087	238	21	still	still	ADV
bae-8087	238	22	largely	largely	ADV
bae-8087	238	23	holds	hold	VERB
bae-8087	238	24	for	for	ADP
bae-8087	238	25	the	the	DET
bae-8087	238	26	other	other	ADJ
bae-8087	238	27	candidate	candidate	NOUN
bae-8087	238	28	models	model	NOUN
bae-8087	238	29	,	,	PUNCT
bae-8087	238	30	it	it	PRON
bae-8087	238	31	is	be	AUX
bae-8087	238	32	less	less	ADV
bae-8087	238	33	evident	evident	ADJ
bae-8087	238	34	and	and	CCONJ
bae-8087	238	35	we	we	PRON
bae-8087	238	36	observe	observe	VERB
bae-8087	238	37	it	it	PRON
bae-8087	238	38	to	to	PART
bae-8087	238	39	be	be	AUX
bae-8087	238	40	less	less	ADV
bae-8087	238	41	sensitive	sensitive	ADJ
bae-8087	238	42	to	to	ADP
bae-8087	238	43	the	the	DET
bae-8087	238	44	degree	degree	NOUN
bae-8087	238	45	of	of	ADP
bae-8087	238	46	correlation	correlation	NOUN
bae-8087	238	47	.	.	PUNCT
bae-8087	239	1	nonetheless	nonetheless	ADV
bae-8087	239	2	,	,	PUNCT
bae-8087	239	3	there	there	PRON
bae-8087	239	4	appears	appear	VERB
bae-8087	239	5	to	to	PART
bae-8087	239	6	be	be	AUX
bae-8087	239	7	systematic	systematic	ADJ
bae-8087	239	8	differences	difference	NOUN
bae-8087	239	9	between	between	ADP
bae-8087	239	10	the	the	DET
bae-8087	239	11	models	model	NOUN
bae-8087	239	12	where	where	SCONJ
bae-8087	239	13	we	we	PRON
bae-8087	239	14	have	have	AUX
bae-8087	239	15	included	include	VERB
bae-8087	239	16	the	the	DET
bae-8087	239	17	indicators	indicator	NOUN
bae-8087	239	18	directly	directly	ADV
bae-8087	239	19	and	and	CCONJ
bae-8087	239	20	their	their	PRON
bae-8087	239	21	analogous	analogous	ADJ
bae-8087	239	22	latent	latent	ADJ
bae-8087	239	23	variable	variable	ADJ
bae-8087	239	24	models	model	NOUN
bae-8087	239	25	.	.	PUNCT
bae-8087	240	1	for	for	ADP
bae-8087	240	2	example	example	NOUN
bae-8087	240	3	,	,	PUNCT
bae-8087	240	4	in	in	ADP
bae-8087	240	5	figures	figure	NOUN
bae-8087	240	6	4	4	NUM
bae-8087	240	7	-	-	SYM
bae-8087	240	8	5	5	NUM
bae-8087	240	9	,	,	PUNCT
bae-8087	240	10	relative	relative	ADJ
bae-8087	240	11	to	to	ADP
bae-8087	240	12	the	the	DET
bae-8087	240	13	mxlind	mxlind	NOUN
bae-8087	240	14	and	and	CCONJ
bae-8087	240	15	mxlind	mxlind	ADJ
bae-8087	240	16	-	-	PUNCT
bae-8087	240	17	corr	corr	NOUN
bae-8087	240	18	models	model	NOUN
bae-8087	240	19	,	,	PUNCT
bae-8087	240	20	the	the	DET
bae-8087	240	21	lvmxl	lvmxl	PROPN
bae-8087	240	22	and	and	CCONJ
bae-8087	240	23	lvmxl	lvmxl	PROPN
bae-8087	240	24	-	-	PUNCT
bae-8087	240	25	corr	corr	PROPN
bae-8087	240	26	models	model	NOUN
bae-8087	240	27	,	,	PUNCT
bae-8087	240	28	respectively	respectively	ADV
bae-8087	240	29	,	,	PUNCT
bae-8087	240	30	produce	produce	VERB
bae-8087	240	31	higher	high	ADJ
bae-8087	240	32	mwtp	mwtp	NOUN
bae-8087	240	33	estimates	estimate	NOUN
bae-8087	240	34	for	for	ADP
bae-8087	240	35	the	the	DET
bae-8087	240	36	antiand	antiand	CCONJ
bae-8087	240	37	pro	pro	ADJ
bae-8087	240	38	-	-	ADJ
bae-8087	240	39	environmental	environmental	ADJ
bae-8087	240	40	tendency	tendency	NOUN
bae-8087	240	41	subgroups	subgroup	NOUN
bae-8087	240	42	,	,	PUNCT
bae-8087	240	43	but	but	CCONJ
bae-8087	240	44	lower	low	ADJ
bae-8087	240	45	estimates	estimate	NOUN
bae-8087	240	46	for	for	ADP
bae-8087	240	47	the	the	DET
bae-8087	240	48	neutral	neutral	ADJ
bae-8087	240	49	subgroup	subgroup	NOUN
bae-8087	240	50	.	.	PUNCT
bae-8087	241	1	furthermore	furthermore	ADV
bae-8087	241	2	,	,	PUNCT
bae-8087	241	3	these	these	DET
bae-8087	241	4	differences	difference	NOUN
bae-8087	241	5	become	become	VERB
bae-8087	241	6	more	more	ADV
bae-8087	241	7	apparent	apparent	ADJ
bae-8087	241	8	as	as	ADP
bae-8087	241	9	the	the	DET
bae-8087	241	10	degree	degree	NOUN
bae-8087	241	11	of	of	ADP
bae-8087	241	12	correlation	correlation	NOUN
bae-8087	241	13	between	between	ADP
bae-8087	241	14	the	the	DET
bae-8087	241	15	mwtp	mwtp	NOUN
bae-8087	241	16	and	and	CCONJ
bae-8087	241	17	latent	latent	NOUN
bae-8087	241	18	variable	variable	ADJ
bae-8087	241	19	distributions	distribution	NOUN
bae-8087	241	20	increase	increase	VERB
bae-8087	241	21	.	.	PUNCT
bae-8087	242	1	while	while	SCONJ
bae-8087	242	2	the	the	DET
bae-8087	242	3	extent	extent	NOUN
bae-8087	242	4	to	to	PART
bae-8087	242	5	which	which	PRON
bae-8087	242	6	this	this	DET
bae-8087	242	7	finding	finding	NOUN
bae-8087	242	8	can	can	AUX
bae-8087	242	9	be	be	AUX
bae-8087	242	10	generalized	generalize	VERB
bae-8087	242	11	beyond	beyond	ADP
bae-8087	242	12	our	our	PRON
bae-8087	242	13	data	data	NOUN
bae-8087	242	14	generation	generation	NOUN
bae-8087	242	15	settings	setting	NOUN
bae-8087	242	16	is	be	AUX
bae-8087	242	17	unclear	unclear	ADJ
bae-8087	242	18	,	,	PUNCT
bae-8087	242	19	it	it	PRON
bae-8087	242	20	does	do	AUX
bae-8087	242	21	,	,	PUNCT
bae-8087	242	22	nonetheless	nonetheless	ADV
bae-8087	242	23	,	,	PUNCT
bae-8087	242	24	further	far	ADV
bae-8087	242	25	emphasise	emphasise	VERB
bae-8087	242	26	the	the	DET
bae-8087	242	27	difficultly	difficultly	ADV
bae-8087	242	28	associated	associate	VERB
bae-8087	242	29	with	with	ADP
bae-8087	242	30	model	model	NOUN
bae-8087	242	31	selection	selection	NOUN
bae-8087	242	32	when	when	SCONJ
bae-8087	242	33	latent	latent	NOUN
bae-8087	242	34	attitudes	attitude	NOUN
bae-8087	242	35	are	be	AUX
bae-8087	242	36	believed	believe	VERB
bae-8087	242	37	to	to	PART
bae-8087	242	38	play	play	VERB
bae-8087	242	39	an	an	DET
bae-8087	242	40	important	important	ADJ
bae-8087	242	41	role	role	NOUN
bae-8087	242	42	on	on	ADP
bae-8087	242	43	mwtp	mwtp	NOUN
bae-8087	242	44	.	.	PUNCT
bae-8087	243	1	5	5	X
bae-8087	243	2	.	.	X
bae-8087	243	3	discussion	discussion	NOUN
bae-8087	243	4	and	and	CCONJ
bae-8087	243	5	concluding	conclude	VERB
bae-8087	243	6	remarks	remark	NOUN
bae-8087	243	7	in	in	ADP
bae-8087	243	8	this	this	DET
bae-8087	243	9	paper	paper	NOUN
bae-8087	243	10	,	,	PUNCT
bae-8087	243	11	we	we	PRON
bae-8087	243	12	generate	generate	VERB
bae-8087	243	13	a	a	DET
bae-8087	243	14	series	series	NOUN
bae-8087	243	15	of	of	ADP
bae-8087	243	16	monte	monte	PROPN
bae-8087	243	17	-	-	PUNCT
bae-8087	243	18	carlo	carlo	PROPN
bae-8087	243	19	simulations	simulation	NOUN
bae-8087	243	20	that	that	PRON
bae-8087	243	21	separately	separately	ADV
bae-8087	243	22	control	control	NOUN
bae-8087	243	23	for	for	ADP
bae-8087	243	24	the	the	DET
bae-8087	243	25	strength	strength	NOUN
bae-8087	243	26	of	of	ADP
bae-8087	243	27	relationship	relationship	NOUN
bae-8087	243	28	between	between	ADP
bae-8087	243	29	the	the	DET
bae-8087	243	30	latent	latent	NOUN
bae-8087	243	31	variable	variable	NOUN
bae-8087	243	32	and	and	CCONJ
bae-8087	243	33	preferences	preference	NOUN
bae-8087	243	34	and	and	CCONJ
bae-8087	243	35	the	the	DET
bae-8087	243	36	strength	strength	NOUN
bae-8087	243	37	of	of	ADP
bae-8087	243	38	relationship	relationship	NOUN
bae-8087	243	39	between	between	ADP
bae-8087	243	40	the	the	DET
bae-8087	243	41	latent	latent	NOUN
bae-8087	243	42	variable	variable	NOUN
bae-8087	243	43	and	and	CCONJ
bae-8087	243	44	the	the	DET
bae-8087	243	45	indicator	indicator	NOUN
bae-8087	243	46	.	.	PUNCT
bae-8087	244	1	in	in	ADP
bae-8087	244	2	the	the	DET
bae-8087	244	3	real	real	ADJ
bae-8087	244	4	world	world	NOUN
bae-8087	244	5	,	,	PUNCT
bae-8087	244	6	structural	structural	ADJ
bae-8087	244	7	equations	equation	NOUN
bae-8087	244	8	usually	usually	ADV
bae-8087	244	9	comprise	comprise	VERB
bae-8087	244	10	standard	standard	ADJ
bae-8087	244	11	socio	socio	NOUN
bae-8087	244	12	-	-	PUNCT
bae-8087	244	13	demographic	demographic	ADJ
bae-8087	244	14	characteristics	characteristic	NOUN
bae-8087	244	15	and	and	CCONJ
bae-8087	244	16	are	be	AUX
bae-8087	244	17	often	often	ADV
bae-8087	244	18	weak	weak	ADJ
bae-8087	244	19	.	.	PUNCT
bae-8087	245	1	to	to	PART
bae-8087	245	2	mimic	mimic	VERB
bae-8087	245	3	this	this	PRON
bae-8087	245	4	in	in	ADP
bae-8087	245	5	the	the	DET
bae-8087	245	6	present	present	ADJ
bae-8087	245	7	paper	paper	NOUN
bae-8087	245	8	,	,	PUNCT
bae-8087	245	9	without	without	ADP
bae-8087	245	10	complicating	complicate	VERB
bae-8087	245	11	the	the	DET
bae-8087	245	12	dgp	dgp	NOUN
bae-8087	245	13	more	more	ADJ
bae-8087	245	14	than	than	ADP
bae-8087	245	15	necessary	necessary	ADJ
bae-8087	245	16	,	,	PUNCT
bae-8087	245	17	we	we	PRON
bae-8087	245	18	treat	treat	VERB
bae-8087	245	19	the	the	DET
bae-8087	245	20	latent	latent	NOUN
bae-8087	245	21	variable	variable	NOUN
bae-8087	245	22	as	as	SCONJ
bae-8087	245	23	normally	normally	ADV
bae-8087	245	24	distributed	distribute	VERB
bae-8087	245	25	with	with	ADP
bae-8087	245	26	zero	zero	NUM
bae-8087	245	27	mean	mean	NOUN
bae-8087	245	28	and	and	CCONJ
bae-8087	245	29	estimated	estimate	VERB
bae-8087	245	30	standard	standard	ADJ
bae-8087	245	31	deviation	deviation	NOUN
bae-8087	245	32	.	.	PUNCT
bae-8087	246	1	this	this	PRON
bae-8087	246	2	is	be	AUX
bae-8087	246	3	exactly	exactly	ADV
bae-8087	246	4	identical	identical	ADJ
bae-8087	246	5	to	to	ADP
bae-8087	246	6	a	a	DET
bae-8087	246	7	structural	structural	ADJ
bae-8087	246	8	equation	equation	NOUN
bae-8087	246	9	containing	contain	VERB
bae-8087	246	10	only	only	ADV
bae-8087	246	11	an	an	DET
bae-8087	246	12	error	error	NOUN
bae-8087	246	13	-	-	PUNCT
bae-8087	246	14	term	term	NOUN
bae-8087	246	15	.	.	PUNCT
bae-8087	247	1	this	this	PRON
bae-8087	247	2	also	also	ADV
bae-8087	247	3	means	mean	VERB
bae-8087	247	4	that	that	SCONJ
bae-8087	247	5	our	our	PRON
bae-8087	247	6	reduced	reduce	VERB
bae-8087	247	7	form	form	NOUN
bae-8087	247	8	model	model	NOUN
bae-8087	247	9	is	be	AUX
bae-8087	247	10	a	a	DET
bae-8087	247	11	mixed	mixed	ADJ
bae-8087	247	12	logit	logit	NOUN
bae-8087	247	13	model	model	NOUN
bae-8087	247	14	with	with	ADP
bae-8087	247	15	an	an	DET
bae-8087	247	16	additional	additional	ADJ
bae-8087	247	17	random	random	ADJ
bae-8087	247	18	error	error	NOUN
bae-8087	247	19	component	component	NOUN
bae-8087	247	20	(	(	PUNCT
bae-8087	247	21	vij	vij	NOUN
bae-8087	247	22	and	and	CCONJ
bae-8087	247	23	walker	walker	NOUN
bae-8087	247	24	,	,	PUNCT
bae-8087	247	25	2016	2016	NUM
bae-8087	247	26	)	)	PUNCT
bae-8087	247	27	.	.	PUNCT
bae-8087	248	1	in	in	ADP
bae-8087	248	2	the	the	DET
bae-8087	248	3	present	present	ADJ
bae-8087	248	4	paper	paper	NOUN
bae-8087	248	5	,	,	PUNCT
bae-8087	248	6	we	we	PRON
bae-8087	248	7	used	use	VERB
bae-8087	248	8	a	a	DET
bae-8087	248	9	simple	simple	ADJ
bae-8087	248	10	three	three	NUM
bae-8087	248	11	-	-	PUNCT
bae-8087	248	12	point	point	NOUN
bae-8087	248	13	likert	likert	ADJ
bae-8087	248	14	scale	scale	NOUN
bae-8087	248	15	question	question	NOUN
bae-8087	248	16	as	as	ADP
bae-8087	248	17	an	an	DET
bae-8087	248	18	indicator	indicator	NOUN
bae-8087	248	19	of	of	ADP
bae-8087	248	20	environmental	environmental	ADJ
bae-8087	248	21	tendency	tendency	NOUN
bae-8087	248	22	.	.	PUNCT
bae-8087	249	1	this	this	DET
bae-8087	249	2	indicator	indicator	NOUN
bae-8087	249	3	was	be	AUX
bae-8087	249	4	included	include	VERB
bae-8087	249	5	in	in	ADP
bae-8087	249	6	an	an	DET
bae-8087	249	7	ordered	order	VERB
bae-8087	249	8	logit	logit	NOUN
bae-8087	249	9	measurement	measurement	NOUN
bae-8087	249	10	equation	equation	NOUN
bae-8087	249	11	.	.	PUNCT
bae-8087	250	1	for	for	SCONJ
bae-8087	250	2	each	each	DET
bae-8087	250	3	dataset	dataset	NOUN
bae-8087	250	4	generated	generate	VERB
bae-8087	250	5	,	,	PUNCT
bae-8087	250	6	we	we	PRON
bae-8087	250	7	estimate	estimate	VERB
bae-8087	250	8	a	a	DET
bae-8087	250	9	random	random	ADJ
bae-8087	250	10	parameters	parameter	NOUN
bae-8087	250	11	mixed	mixed	ADJ
bae-8087	250	12	logit	logit	PROPN
bae-8087	250	13	model	model	NOUN
bae-8087	250	14	,	,	PUNCT
bae-8087	250	15	a	a	DET
bae-8087	250	16	random	random	ADJ
bae-8087	250	17	parameters	parameter	NOUN
bae-8087	250	18	mixed	mixed	ADJ
bae-8087	250	19	logit	logit	PROPN
bae-8087	250	20	model	model	NOUN
bae-8087	250	21	with	with	ADP
bae-8087	250	22	the	the	DET
bae-8087	250	23	indicators	indicator	NOUN
bae-8087	250	24	mapping	map	VERB
bae-8087	250	25	directly	directly	ADV
bae-8087	250	26	to	to	ADP
bae-8087	250	27	the	the	DET
bae-8087	250	28	marginal	marginal	ADJ
bae-8087	250	29	utilities	utility	NOUN
bae-8087	250	30	and	and	CCONJ
bae-8087	250	31	an	an	DET
bae-8087	250	32	iclv	iclv	ADJ
bae-8087	250	33	random	random	ADJ
bae-8087	250	34	parameters	parameter	NOUN
bae-8087	250	35	mixed	mixed	ADJ
bae-8087	250	36	logit	logit	PROPN
bae-8087	250	37	model	model	NOUN
bae-8087	250	38	,	,	PUNCT
bae-8087	250	39	each	each	PRON
bae-8087	250	40	with	with	ADP
bae-8087	250	41	and	and	CCONJ
bae-8087	250	42	without	without	ADP
bae-8087	250	43	allowing	allow	VERB
bae-8087	250	44	for	for	ADP
bae-8087	250	45	correlation	correlation	NOUN
bae-8087	250	46	among	among	ADP
bae-8087	250	47	the	the	DET
bae-8087	250	48	random	random	ADJ
bae-8087	250	49	parameters	parameter	NOUN
bae-8087	250	50	.	.	PUNCT
bae-8087	251	1	from	from	ADP
bae-8087	251	2	our	our	PRON
bae-8087	251	3	results	result	NOUN
bae-8087	251	4	,	,	PUNCT
bae-8087	251	5	it	it	PRON
bae-8087	251	6	is	be	AUX
bae-8087	251	7	clear	clear	ADJ
bae-8087	251	8	that	that	SCONJ
bae-8087	251	9	if	if	SCONJ
bae-8087	251	10	you	you	PRON
bae-8087	251	11	are	be	AUX
bae-8087	251	12	only	only	ADV
bae-8087	251	13	interested	interested	ADJ
bae-8087	251	14	in	in	ADP
bae-8087	251	15	choice	choice	NOUN
bae-8087	251	16	prediction	prediction	NOUN
bae-8087	251	17	,	,	PUNCT
bae-8087	251	18	then	then	ADV
bae-8087	251	19	a	a	DET
bae-8087	251	20	mixed	mixed	ADJ
bae-8087	251	21	logit	logit	NOUN
bae-8087	251	22	model	model	NOUN
bae-8087	251	23	with	with	ADP
bae-8087	251	24	correlation	correlation	NOUN
bae-8087	251	25	may	may	AUX
bae-8087	251	26	perform	perform	VERB
bae-8087	251	27	equally	equally	ADV
bae-8087	251	28	well	well	ADV
bae-8087	251	29	to	to	ADP
bae-8087	251	30	a	a	DET
bae-8087	251	31	hybrid	hybrid	ADJ
bae-8087	251	32	choice	choice	NOUN
bae-8087	251	33	model	model	NOUN
bae-8087	251	34	.	.	PUNCT
bae-8087	252	1	while	while	SCONJ
bae-8087	252	2	this	this	PRON
bae-8087	252	3	is	be	AUX
bae-8087	252	4	consistent	consistent	ADJ
bae-8087	252	5	with	with	ADP
bae-8087	252	6	the	the	DET
bae-8087	252	7	general	general	ADJ
bae-8087	252	8	result	result	NOUN
bae-8087	252	9	of	of	ADP
bae-8087	252	10	vij	vij	PROPN
bae-8087	252	11	and	and	CCONJ
bae-8087	252	12	walker	walker	PROPN
bae-8087	252	13	(	(	PUNCT
bae-8087	252	14	2016	2016	NUM
bae-8087	252	15	)	)	PUNCT
bae-8087	252	16	,	,	PUNCT
bae-8087	252	17	who	who	PRON
bae-8087	252	18	suggest	suggest	VERB
bae-8087	252	19	that	that	SCONJ
bae-8087	252	20	a	a	DET
bae-8087	252	21	reduced	reduce	VERB
bae-8087	252	22	form	form	NOUN
bae-8087	252	23	model	model	NOUN
bae-8087	252	24	will	will	AUX
bae-8087	252	25	fit	fit	VERB
bae-8087	252	26	the	the	DET
bae-8087	252	27	data	datum	NOUN
bae-8087	252	28	at	at	ADV
bae-8087	252	29	least	least	ADJ
bae-8087	252	30	as	as	ADV
bae-8087	252	31	well	well	ADV
bae-8087	252	32	,	,	PUNCT
bae-8087	252	33	this	this	PRON
bae-8087	252	34	is	be	AUX
bae-8087	252	35	not	not	PART
bae-8087	252	36	in	in	ADP
bae-8087	252	37	and	and	CCONJ
bae-8087	252	38	of	of	ADP
bae-8087	252	39	itself	itself	PRON
bae-8087	252	40	a	a	DET
bae-8087	252	41	reason	reason	NOUN
bae-8087	252	42	to	to	PART
bae-8087	252	43	not	not	PART
bae-8087	252	44	use	use	VERB
bae-8087	252	45	iclv	iclv	ADJ
bae-8087	252	46	models	model	NOUN
bae-8087	252	47	.	.	PUNCT
bae-8087	253	1	as	as	SCONJ
bae-8087	253	2	we	we	PRON
bae-8087	253	3	,	,	PUNCT
bae-8087	253	4	and	and	CCONJ
bae-8087	253	5	others	other	NOUN
bae-8087	253	6	,	,	PUNCT
bae-8087	253	7	have	have	AUX
bae-8087	253	8	shown	show	VERB
bae-8087	253	9	,	,	PUNCT
bae-8087	253	10	such	such	ADJ
bae-8087	253	11	models	model	NOUN
bae-8087	253	12	can	can	AUX
bae-8087	253	13	offer	offer	VERB
bae-8087	253	14	greater	great	ADJ
bae-8087	253	15	insight	insight	NOUN
bae-8087	253	16	into	into	ADP
bae-8087	253	17	underling	underle	VERB
bae-8087	253	18	behavioural	behavioural	ADJ
bae-8087	253	19	phenomena	phenomenon	NOUN
bae-8087	253	20	and	and	CCONJ
bae-8087	253	21	contribute	contribute	VERB
bae-8087	253	22	to	to	ADP
bae-8087	253	23	decomposing	decompose	VERB
bae-8087	253	24	marginal	marginal	ADJ
bae-8087	253	25	effects	effect	NOUN
bae-8087	253	26	of	of	ADP
bae-8087	253	27	the	the	DET
bae-8087	253	28	latent	latent	ADJ
bae-8087	253	29	attitude	attitude	NOUN
bae-8087	253	30	on	on	ADP
bae-8087	253	31	welfare	welfare	NOUN
bae-8087	253	32	estimates	estimate	NOUN
bae-8087	253	33	.	.	PUNCT
bae-8087	254	1	but	but	CCONJ
bae-8087	254	2	whether	whether	SCONJ
bae-8087	254	3	or	or	CCONJ
bae-8087	254	4	not	not	PART
bae-8087	254	5	these	these	DET
bae-8087	254	6	additional	additional	ADJ
bae-8087	254	7	behavioural	behavioural	ADJ
bae-8087	254	8	insights	insight	NOUN
bae-8087	254	9	outweigh	outweigh	VERB
bae-8087	254	10	the	the	DET
bae-8087	254	11	costs	cost	NOUN
bae-8087	254	12	of	of	ADP
bae-8087	254	13	estimating	estimate	VERB
bae-8087	254	14	them	they	PRON
bae-8087	254	15	remains	remain	VERB
bae-8087	254	16	an	an	DET
bae-8087	254	17	empirical	empirical	ADJ
bae-8087	254	18	question	question	NOUN
bae-8087	254	19	and	and	CCONJ
bae-8087	254	20	will	will	AUX
bae-8087	254	21	be	be	AUX
bae-8087	254	22	entirely	entirely	ADV
bae-8087	254	23	context	context	NOUN
bae-8087	254	24	dependent	dependent	ADJ
bae-8087	254	25	.	.	PUNCT
bae-8087	255	1	in	in	ADP
bae-8087	255	2	our	our	PRON
bae-8087	255	3	simulations	simulation	NOUN
bae-8087	255	4	,	,	PUNCT
bae-8087	255	5	we	we	PRON
bae-8087	255	6	show	show	VERB
bae-8087	255	7	that	that	SCONJ
bae-8087	255	8	if	if	SCONJ
bae-8087	255	9	the	the	DET
bae-8087	255	10	structural	structural	ADJ
bae-8087	255	11	and	and	CCONJ
bae-8087	255	12	measurement	measurement	NOUN
bae-8087	255	13	equations	equation	NOUN
bae-8087	255	14	are	be	AUX
bae-8087	255	15	weak	weak	ADJ
bae-8087	255	16	(	(	PUNCT
bae-8087	255	17	i.e.	i.e.	X
bae-8087	255	18	  	  	SPACE
bae-8087	255	19	if	if	SCONJ
bae-8087	255	20	observable	observable	ADJ
bae-8087	255	21	characteristics	characteristic	NOUN
bae-8087	255	22	are	be	AUX
bae-8087	255	23	poor	poor	ADJ
bae-8087	255	24	predictors	predictor	NOUN
bae-8087	255	25	of	of	ADP
bae-8087	255	26	the	the	DET
bae-8087	255	27	latent	latent	NOUN
bae-8087	255	28	variables	variable	NOUN
bae-8087	255	29	,	,	PUNCT
bae-8087	255	30	if	if	SCONJ
bae-8087	255	31	appropriate	appropriate	ADJ
bae-8087	255	32	indicators	indicator	NOUN
bae-8087	255	33	are	be	AUX
bae-8087	255	34	not	not	PART
bae-8087	255	35	available	available	ADJ
bae-8087	255	36	and/or	and/or	CCONJ
bae-8087	255	37	if	if	SCONJ
bae-8087	255	38	the	the	DET
bae-8087	255	39	correlation	correlation	NOUN
bae-8087	255	40	between	between	ADP
bae-8087	255	41	preferences	preference	NOUN
bae-8087	255	42	,	,	PUNCT
bae-8087	255	43	the	the	DET
bae-8087	255	44	latent	latent	NOUN
bae-8087	255	45	construct	construct	VERB
bae-8087	255	46	and	and	CCONJ
bae-8087	255	47	the	the	DET
bae-8087	255	48	indicator	indicator	NOUN
bae-8087	255	49	is	be	AUX
bae-8087	255	50	weak	weak	ADJ
bae-8087	255	51	)	)	PUNCT
bae-8087	255	52	,	,	PUNCT
bae-8087	255	53	then	then	ADV
bae-8087	255	54	322	322	NUM
bae-8087	255	55	danny	danny	PROPN
bae-8087	255	56	campbell	campbell	PROPN
bae-8087	255	57	,	,	PUNCT
bae-8087	255	58	erlend	erlend	VERB
bae-8087	255	59	dancke	dancke	PROPN
bae-8087	255	60	sandorf	sandorf	PROPN
bae-8087	255	61	the	the	DET
bae-8087	255	62	model	model	NOUN
bae-8087	255	63	’s	’s	PART
bae-8087	255	64	ability	ability	NOUN
bae-8087	255	65	to	to	PART
bae-8087	255	66	separately	separately	ADV
bae-8087	255	67	identify	identify	VERB
bae-8087	255	68	the	the	DET
bae-8087	255	69	marginal	marginal	ADJ
bae-8087	255	70	effects	effect	NOUN
bae-8087	255	71	are	be	AUX
bae-8087	255	72	likely	likely	ADV
bae-8087	255	73	limited	limited	ADJ
bae-8087	255	74	and	and	CCONJ
bae-8087	255	75	the	the	DET
bae-8087	255	76	benefits	benefit	NOUN
bae-8087	255	77	of	of	ADP
bae-8087	255	78	developing	develop	VERB
bae-8087	255	79	and	and	CCONJ
bae-8087	255	80	using	use	VERB
bae-8087	255	81	an	an	DET
bae-8087	255	82	iclv	iclv	ADJ
bae-8087	255	83	model	model	NOUN
bae-8087	255	84	are	be	AUX
bae-8087	255	85	less	less	ADV
bae-8087	255	86	clear	clear	ADV
bae-8087	255	87	-	-	PUNCT
bae-8087	255	88	cut	cut	VERB
bae-8087	255	89	.	.	PUNCT
bae-8087	256	1	in	in	ADP
bae-8087	256	2	the	the	DET
bae-8087	256	3	cases	case	NOUN
bae-8087	256	4	where	where	SCONJ
bae-8087	256	5	we	we	PRON
bae-8087	256	6	do	do	AUX
bae-8087	256	7	have	have	VERB
bae-8087	256	8	weak	weak	ADJ
bae-8087	256	9	structural	structural	ADJ
bae-8087	256	10	equations	equation	NOUN
bae-8087	256	11	,	,	PUNCT
bae-8087	256	12	the	the	DET
bae-8087	256	13	use	use	NOUN
bae-8087	256	14	of	of	ADP
bae-8087	256	15	measurement	measurement	NOUN
bae-8087	256	16	equations	equation	NOUN
bae-8087	256	17	can	can	AUX
bae-8087	256	18	help	help	VERB
bae-8087	256	19	explain	explain	VERB
bae-8087	256	20	the	the	DET
bae-8087	256	21	latent	latent	NOUN
bae-8087	256	22	variable	variable	NOUN
bae-8087	256	23	and	and	CCONJ
bae-8087	256	24	improve	improve	VERB
bae-8087	256	25	the	the	DET
bae-8087	256	26	fit	fit	NOUN
bae-8087	256	27	of	of	ADP
bae-8087	256	28	our	our	PRON
bae-8087	256	29	choice	choice	NOUN
bae-8087	256	30	model	model	NOUN
bae-8087	256	31	.	.	PUNCT
bae-8087	257	1	unfortunately	unfortunately	ADV
bae-8087	257	2	,	,	PUNCT
bae-8087	257	3	in	in	ADP
bae-8087	257	4	real	real	ADJ
bae-8087	257	5	world	world	NOUN
bae-8087	257	6	applications	application	NOUN
bae-8087	257	7	we	we	PRON
bae-8087	257	8	do	do	AUX
bae-8087	257	9	not	not	PART
bae-8087	257	10	know	know	VERB
bae-8087	257	11	a	a	DET
bae-8087	257	12	priori	priori	NOUN
bae-8087	257	13	whether	whether	SCONJ
bae-8087	257	14	an	an	DET
bae-8087	257	15	indicator	indicator	NOUN
bae-8087	257	16	is	be	AUX
bae-8087	257	17	good	good	ADJ
bae-8087	257	18	or	or	CCONJ
bae-8087	257	19	bad	bad	ADJ
bae-8087	257	20	,	,	PUNCT
bae-8087	257	21	nor	nor	CCONJ
bae-8087	257	22	is	be	AUX
bae-8087	257	23	there	there	PRON
bae-8087	257	24	much	much	ADJ
bae-8087	257	25	guidance	guidance	NOUN
bae-8087	257	26	on	on	ADP
bae-8087	257	27	the	the	DET
bae-8087	257	28	strengths	strength	NOUN
bae-8087	257	29	of	of	ADP
bae-8087	257	30	correlation	correlation	NOUN
bae-8087	257	31	.	.	PUNCT
bae-8087	258	1	but	but	CCONJ
bae-8087	258	2	there	there	PRON
bae-8087	258	3	are	be	VERB
bae-8087	258	4	ways	way	NOUN
bae-8087	258	5	to	to	PART
bae-8087	258	6	identify	identify	VERB
bae-8087	258	7	better	well	ADJ
bae-8087	258	8	indicators	indicator	NOUN
bae-8087	258	9	using	use	VERB
bae-8087	258	10	,	,	PUNCT
bae-8087	258	11	for	for	ADP
bae-8087	258	12	example	example	NOUN
bae-8087	258	13	,	,	PUNCT
bae-8087	258	14	exploratory	exploratory	ADJ
bae-8087	258	15	factor	factor	NOUN
bae-8087	258	16	analysis	analysis	NOUN
bae-8087	258	17	(	(	PUNCT
bae-8087	258	18	hoyos	hoyos	PROPN
bae-8087	258	19	et	et	PROPN
bae-8087	258	20	al	al	PROPN
bae-8087	258	21	.	.	PROPN
bae-8087	258	22	,	,	PUNCT
bae-8087	258	23	2015	2015	NUM
bae-8087	258	24	;	;	PUNCT
bae-8087	258	25	mariel	mariel	PROPN
bae-8087	258	26	et	et	PROPN
bae-8087	258	27	al	al	PROPN
bae-8087	258	28	.	.	PROPN
bae-8087	258	29	,	,	PUNCT
bae-8087	258	30	2018	2018	NUM
bae-8087	258	31	;	;	PUNCT
bae-8087	258	32	mariel	mariel	PROPN
bae-8087	258	33	and	and	CCONJ
bae-8087	258	34	meyerhoff	meyerhoff	NOUN
bae-8087	258	35	,	,	PUNCT
bae-8087	258	36	2016	2016	NUM
bae-8087	258	37	)	)	PUNCT
bae-8087	258	38	.	.	PUNCT
bae-8087	259	1	ultimately	ultimately	ADV
bae-8087	259	2	,	,	PUNCT
bae-8087	259	3	however	however	ADV
bae-8087	259	4	,	,	PUNCT
bae-8087	259	5	we	we	PRON
bae-8087	259	6	show	show	VERB
bae-8087	259	7	that	that	SCONJ
bae-8087	259	8	model	model	NOUN
bae-8087	259	9	selection	selection	NOUN
bae-8087	259	10	should	should	AUX
bae-8087	259	11	be	be	AUX
bae-8087	259	12	driven	drive	VERB
bae-8087	259	13	by	by	ADP
bae-8087	259	14	the	the	DET
bae-8087	259	15	analyst	analyst	NOUN
bae-8087	259	16	’s	’s	PART
bae-8087	259	17	belief	belief	NOUN
bae-8087	259	18	about	about	ADP
bae-8087	259	19	the	the	DET
bae-8087	259	20	strength	strength	NOUN
bae-8087	259	21	of	of	ADP
bae-8087	259	22	correlations	correlation	NOUN
bae-8087	259	23	between	between	ADP
bae-8087	259	24	preferences	preference	NOUN
bae-8087	259	25	,	,	PUNCT
bae-8087	259	26	the	the	DET
bae-8087	259	27	latent	latent	NOUN
bae-8087	259	28	variable	variable	NOUN
bae-8087	259	29	and	and	CCONJ
bae-8087	259	30	indicator	indicator	NOUN
bae-8087	259	31	.	.	PUNCT
bae-8087	260	1	in	in	ADP
bae-8087	260	2	any	any	DET
bae-8087	260	3	case	case	NOUN
bae-8087	260	4	,	,	PUNCT
bae-8087	260	5	we	we	PRON
bae-8087	260	6	need	need	VERB
bae-8087	260	7	to	to	PART
bae-8087	260	8	be	be	AUX
bae-8087	260	9	careful	careful	ADJ
bae-8087	260	10	and	and	CCONJ
bae-8087	260	11	mindful	mindful	ADJ
bae-8087	260	12	of	of	ADP
bae-8087	260	13	the	the	DET
bae-8087	260	14	criticisms	criticism	NOUN
bae-8087	260	15	of	of	ADP
bae-8087	260	16	chorus	chorus	NOUN
bae-8087	260	17	and	and	CCONJ
bae-8087	260	18	kroesen	kroesen	PROPN
bae-8087	260	19	(	(	PUNCT
bae-8087	260	20	2014	2014	NUM
bae-8087	260	21	)	)	PUNCT
bae-8087	260	22	and	and	CCONJ
bae-8087	260	23	kroesen	kroesen	NOUN
bae-8087	260	24	and	and	CCONJ
bae-8087	260	25	chorus	chorus	NOUN
bae-8087	260	26	(	(	PUNCT
bae-8087	260	27	2018	2018	NUM
bae-8087	260	28	):	):	PUNCT
bae-8087	260	29	given	give	VERB
bae-8087	260	30	the	the	DET
bae-8087	260	31	potential	potential	ADJ
bae-8087	260	32	endogenous	endogenous	ADJ
bae-8087	260	33	relationship	relationship	NOUN
bae-8087	260	34	between	between	ADP
bae-8087	260	35	the	the	DET
bae-8087	260	36	latent	latent	NOUN
bae-8087	260	37	variable	variable	NOUN
bae-8087	260	38	and	and	CCONJ
bae-8087	260	39	choice	choice	NOUN
bae-8087	260	40	and	and	CCONJ
bae-8087	260	41	the	the	DET
bae-8087	260	42	crosssectional	crosssectional	ADJ
bae-8087	260	43	nature	nature	NOUN
bae-8087	260	44	of	of	ADP
bae-8087	260	45	the	the	DET
bae-8087	260	46	data	datum	NOUN
bae-8087	260	47	,	,	PUNCT
bae-8087	260	48	it	it	PRON
bae-8087	260	49	is	be	AUX
bae-8087	260	50	impossible	impossible	ADJ
bae-8087	260	51	to	to	PART
bae-8087	260	52	ascertain	ascertain	VERB
bae-8087	260	53	a	a	DET
bae-8087	260	54	causal	causal	ADJ
bae-8087	260	55	relationship	relationship	NOUN
bae-8087	260	56	between	between	ADP
bae-8087	260	57	attitudes	attitude	NOUN
bae-8087	260	58	and	and	CCONJ
bae-8087	260	59	behaviour	behaviour	NOUN
bae-8087	260	60	meaning	mean	VERB
bae-8087	260	61	that	that	SCONJ
bae-8087	260	62	we	we	PRON
bae-8087	260	63	should	should	AUX
bae-8087	260	64	be	be	AUX
bae-8087	260	65	very	very	ADV
bae-8087	260	66	careful	careful	ADJ
bae-8087	260	67	recommending	recommend	VERB
bae-8087	260	68	policies	policy	NOUN
bae-8087	260	69	that	that	PRON
bae-8087	260	70	target	target	VERB
bae-8087	260	71	the	the	DET
bae-8087	260	72	latent	latent	NOUN
bae-8087	260	73	variable	variable	NOUN
bae-8087	260	74	itself	itself	PRON
bae-8087	260	75	.	.	PUNCT
bae-8087	261	1	while	while	SCONJ
bae-8087	261	2	we	we	PRON
bae-8087	261	3	have	have	AUX
bae-8087	261	4	not	not	PART
bae-8087	261	5	spent	spend	VERB
bae-8087	261	6	significant	significant	ADJ
bae-8087	261	7	time	time	NOUN
bae-8087	261	8	talking	talk	VERB
bae-8087	261	9	about	about	ADP
bae-8087	261	10	prediction	prediction	NOUN
bae-8087	261	11	in	in	ADP
bae-8087	261	12	the	the	DET
bae-8087	261	13	present	present	ADJ
bae-8087	261	14	paper	paper	NOUN
bae-8087	261	15	,	,	PUNCT
bae-8087	261	16	we	we	PRON
bae-8087	261	17	do	do	AUX
bae-8087	261	18	feel	feel	VERB
bae-8087	261	19	it	it	PRON
bae-8087	261	20	is	be	AUX
bae-8087	261	21	prudent	prudent	ADJ
bae-8087	261	22	to	to	PART
bae-8087	261	23	reiterate	reiterate	VERB
bae-8087	261	24	that	that	SCONJ
bae-8087	261	25	hybrid	hybrid	ADJ
bae-8087	261	26	choice	choice	NOUN
bae-8087	261	27	models	model	NOUN
bae-8087	261	28	can	can	AUX
bae-8087	261	29	lead	lead	VERB
bae-8087	261	30	to	to	ADP
bae-8087	261	31	improved	improved	ADJ
bae-8087	261	32	predictions	prediction	NOUN
bae-8087	261	33	,	,	PUNCT
bae-8087	261	34	but	but	CCONJ
bae-8087	261	35	that	that	SCONJ
bae-8087	261	36	any	any	DET
bae-8087	261	37	improvements	improvement	NOUN
bae-8087	261	38	are	be	AUX
bae-8087	261	39	only	only	ADV
bae-8087	261	40	likely	likely	ADJ
bae-8087	261	41	in	in	ADP
bae-8087	261	42	the	the	DET
bae-8087	261	43	case	case	NOUN
bae-8087	261	44	where	where	SCONJ
bae-8087	261	45	it	it	PRON
bae-8087	261	46	would	would	AUX
bae-8087	261	47	be	be	AUX
bae-8087	261	48	possible	possible	ADJ
bae-8087	261	49	to	to	PART
bae-8087	261	50	predict	predict	VERB
bae-8087	261	51	the	the	DET
bae-8087	261	52	future	future	ADJ
bae-8087	261	53	state	state	NOUN
bae-8087	261	54	of	of	ADP
bae-8087	261	55	the	the	DET
bae-8087	261	56	latent	latent	NOUN
bae-8087	261	57	variable	variable	NOUN
bae-8087	261	58	itself	itself	PRON
bae-8087	261	59	(	(	PUNCT
bae-8087	261	60	vij	vij	PROPN
bae-8087	261	61	and	and	CCONJ
bae-8087	261	62	walker	walker	NOUN
bae-8087	261	63	,	,	PUNCT
bae-8087	261	64	2016	2016	NUM
bae-8087	261	65	;	;	PUNCT
bae-8087	261	66	yáñez	yáñez	PROPN
bae-8087	261	67	et	et	PROPN
bae-8087	261	68	al	al	PROPN
bae-8087	261	69	.	.	PROPN
bae-8087	261	70	,	,	PUNCT
bae-8087	261	71	2010	2010	NUM
bae-8087	261	72	)	)	PUNCT
bae-8087	261	73	.	.	PUNCT
bae-8087	262	1	more	more	ADV
bae-8087	262	2	likely	likely	ADJ
bae-8087	262	3	than	than	ADP
bae-8087	262	4	not	not	PART
bae-8087	262	5	,	,	PUNCT
bae-8087	262	6	this	this	DET
bae-8087	262	7	type	type	NOUN
bae-8087	262	8	of	of	ADP
bae-8087	262	9	data	datum	NOUN
bae-8087	262	10	will	will	AUX
bae-8087	262	11	not	not	PART
bae-8087	262	12	be	be	AUX
bae-8087	262	13	available	available	ADJ
bae-8087	262	14	.	.	PUNCT
bae-8087	263	1	this	this	PRON
bae-8087	263	2	is	be	AUX
bae-8087	263	3	also	also	ADV
bae-8087	263	4	possibly	possibly	ADV
bae-8087	263	5	why	why	SCONJ
bae-8087	263	6	we	we	PRON
bae-8087	263	7	see	see	VERB
bae-8087	263	8	that	that	SCONJ
bae-8087	263	9	our	our	PRON
bae-8087	263	10	models	model	NOUN
bae-8087	263	11	fit	fit	VERB
bae-8087	263	12	the	the	DET
bae-8087	263	13	data	datum	NOUN
bae-8087	263	14	equally	equally	ADV
bae-8087	263	15	well	well	ADV
bae-8087	263	16	,	,	PUNCT
bae-8087	263	17	i.e.	i.e.	X
bae-8087	263	18	  	  	SPACE
bae-8087	263	19	in	in	ADP
bae-8087	263	20	terms	term	NOUN
bae-8087	263	21	of	of	ADP
bae-8087	263	22	explaining	explain	VERB
bae-8087	263	23	the	the	DET
bae-8087	263	24	sequence	sequence	NOUN
bae-8087	263	25	of	of	ADP
bae-8087	263	26	choices	choice	NOUN
bae-8087	263	27	made	make	VERB
bae-8087	263	28	by	by	ADP
bae-8087	263	29	individuals	individual	NOUN
bae-8087	263	30	.	.	PUNCT
bae-8087	264	1	that	that	PRON
bae-8087	264	2	said	say	VERB
bae-8087	264	3	,	,	PUNCT
bae-8087	264	4	the	the	DET
bae-8087	264	5	conclusions	conclusion	NOUN
bae-8087	264	6	in	in	ADP
bae-8087	264	7	this	this	DET
bae-8087	264	8	paper	paper	NOUN
bae-8087	264	9	echo	echo	VERB
bae-8087	264	10	those	those	PRON
bae-8087	264	11	of	of	ADP
bae-8087	264	12	many	many	ADJ
bae-8087	264	13	others	other	NOUN
bae-8087	264	14	(	(	PUNCT
bae-8087	264	15	chorus	chorus	NOUN
bae-8087	264	16	and	and	CCONJ
bae-8087	264	17	kroesen	kroesen	NOUN
bae-8087	264	18	,	,	PUNCT
bae-8087	264	19	2014	2014	NUM
bae-8087	264	20	;	;	PUNCT
bae-8087	264	21	kroesen	kroesen	NOUN
bae-8087	264	22	and	and	CCONJ
bae-8087	264	23	chorus	chorus	NOUN
bae-8087	264	24	,	,	PUNCT
bae-8087	264	25	2018	2018	NUM
bae-8087	264	26	;	;	PUNCT
bae-8087	264	27	vij	vij	PROPN
bae-8087	264	28	and	and	CCONJ
bae-8087	264	29	walker	walker	NOUN
bae-8087	264	30	,	,	PUNCT
bae-8087	264	31	2016	2016	NUM
bae-8087	264	32	)	)	PUNCT
bae-8087	264	33	,	,	PUNCT
bae-8087	264	34	that	that	SCONJ
bae-8087	264	35	we	we	PRON
bae-8087	264	36	need	need	VERB
bae-8087	264	37	to	to	PART
bae-8087	264	38	take	take	VERB
bae-8087	264	39	better	well	ADJ
bae-8087	264	40	heed	heed	NOUN
bae-8087	264	41	of	of	ADP
bae-8087	264	42	the	the	DET
bae-8087	264	43	quality	quality	NOUN
bae-8087	264	44	of	of	ADP
bae-8087	264	45	our	our	PRON
bae-8087	264	46	data	datum	NOUN
bae-8087	264	47	and	and	CCONJ
bae-8087	264	48	recognize	recognize	VERB
bae-8087	264	49	the	the	DET
bae-8087	264	50	limitations	limitation	NOUN
bae-8087	264	51	of	of	ADP
bae-8087	264	52	it	it	PRON
bae-8087	264	53	.	.	PUNCT
bae-8087	265	1	the	the	DET
bae-8087	265	2	usefulness	usefulness	NOUN
bae-8087	265	3	of	of	ADP
bae-8087	265	4	iclv	iclv	NOUN
bae-8087	265	5	models	model	NOUN
bae-8087	265	6	hinge	hinge	VERB
bae-8087	265	7	on	on	ADP
bae-8087	265	8	the	the	DET
bae-8087	265	9	quality	quality	NOUN
bae-8087	265	10	of	of	ADP
bae-8087	265	11	the	the	DET
bae-8087	265	12	data	datum	NOUN
bae-8087	265	13	,	,	PUNCT
bae-8087	265	14	and	and	CCONJ
bae-8087	265	15	an	an	DET
bae-8087	265	16	iclv	iclv	ADJ
bae-8087	265	17	model	model	NOUN
bae-8087	265	18	applied	apply	VERB
bae-8087	265	19	to	to	ADP
bae-8087	265	20	poor	poor	ADJ
bae-8087	265	21	data	datum	NOUN
bae-8087	265	22	may	may	AUX
bae-8087	265	23	add	add	VERB
bae-8087	265	24	nothing	nothing	PRON
bae-8087	265	25	to	to	PART
bae-8087	265	26	explanatory	explanatory	ADJ
bae-8087	265	27	power	power	NOUN
bae-8087	265	28	and	and	CCONJ
bae-8087	265	29	even	even	ADV
bae-8087	265	30	less	less	ADJ
bae-8087	265	31	to	to	ADP
bae-8087	265	32	policy	policy	NOUN
bae-8087	265	33	.	.	PUNCT
bae-8087	266	1	furthermore	furthermore	ADV
bae-8087	266	2	,	,	PUNCT
bae-8087	266	3	it	it	PRON
bae-8087	266	4	is	be	AUX
bae-8087	266	5	clear	clear	ADJ
bae-8087	266	6	from	from	ADP
bae-8087	266	7	our	our	PRON
bae-8087	266	8	simulation	simulation	NOUN
bae-8087	266	9	work	work	NOUN
bae-8087	266	10	that	that	SCONJ
bae-8087	266	11	even	even	ADV
bae-8087	266	12	under	under	ADP
bae-8087	266	13	“	"	PUNCT
bae-8087	266	14	perfect	perfect	ADJ
bae-8087	266	15	”	"	PUNCT
bae-8087	266	16	conditions	condition	NOUN
bae-8087	266	17	,	,	PUNCT
bae-8087	266	18	we	we	PRON
bae-8087	266	19	struggled	struggle	VERB
bae-8087	266	20	to	to	PART
bae-8087	266	21	retrieve	retrieve	VERB
bae-8087	266	22	the	the	DET
bae-8087	266	23	true	true	ADJ
bae-8087	266	24	parameters	parameter	NOUN
bae-8087	266	25	of	of	ADP
bae-8087	266	26	the	the	DET
bae-8087	266	27	model	model	NOUN
bae-8087	266	28	,	,	PUNCT
bae-8087	266	29	and	and	CCONJ
bae-8087	266	30	the	the	DET
bae-8087	266	31	appropriateness	appropriateness	NOUN
bae-8087	266	32	of	of	ADP
bae-8087	266	33	the	the	DET
bae-8087	266	34	model	model	NOUN
bae-8087	266	35	itself	itself	PRON
bae-8087	266	36	came	come	VERB
bae-8087	266	37	down	down	ADP
bae-8087	266	38	to	to	ADP
bae-8087	266	39	the	the	DET
bae-8087	266	40	degree	degree	NOUN
bae-8087	266	41	of	of	ADP
bae-8087	266	42	correlation	correlation	NOUN
bae-8087	266	43	between	between	ADP
bae-8087	266	44	our	our	PRON
bae-8087	266	45	attributes	attribute	NOUN
bae-8087	266	46	,	,	PUNCT
bae-8087	266	47	latent	latent	ADJ
bae-8087	266	48	variable	variable	NOUN
bae-8087	266	49	and	and	CCONJ
bae-8087	266	50	indicator	indicator	NOUN
bae-8087	266	51	.	.	PUNCT
bae-8087	267	1	taken	take	VERB
bae-8087	267	2	together	together	ADV
bae-8087	267	3	,	,	PUNCT
bae-8087	267	4	this	this	PRON
bae-8087	267	5	makes	make	VERB
bae-8087	267	6	the	the	DET
bae-8087	267	7	use	use	NOUN
bae-8087	267	8	of	of	ADP
bae-8087	267	9	latent	latent	ADJ
bae-8087	267	10	variable	variable	ADJ
bae-8087	267	11	models	model	NOUN
bae-8087	267	12	,	,	PUNCT
bae-8087	267	13	perhaps	perhaps	ADV
bae-8087	267	14	especially	especially	ADV
bae-8087	267	15	to	to	PART
bae-8087	267	16	inform	inform	VERB
bae-8087	267	17	policy	policy	NOUN
bae-8087	267	18	,	,	PUNCT
bae-8087	267	19	a	a	DET
bae-8087	267	20	road	road	NOUN
bae-8087	267	21	fraught	fraught	ADJ
bae-8087	267	22	with	with	ADP
bae-8087	267	23	peril	peril	NOUN
bae-8087	267	24	.	.	PUNCT
bae-8087	268	1	acknowledgements	acknowledgement	NOUN
bae-8087	268	2	erlend	erlend	VERB
bae-8087	268	3	dancke	dancke	PROPN
bae-8087	268	4	sandorf	sandorf	PROPN
bae-8087	268	5	acknowledges	acknowledge	VERB
bae-8087	268	6	funding	funding	NOUN
bae-8087	268	7	from	from	ADP
bae-8087	268	8	the	the	DET
bae-8087	268	9	european	european	PROPN
bae-8087	268	10	union	union	PROPN
bae-8087	268	11	’s	’s	PART
bae-8087	268	12	horizon	horizon	NOUN
bae-8087	268	13	2020	2020	NUM
bae-8087	268	14	research	research	NOUN
bae-8087	268	15	and	and	CCONJ
bae-8087	268	16	innovation	innovation	NOUN
bae-8087	268	17	programme	programme	NOUN
bae-8087	268	18	under	under	ADP
bae-8087	268	19	the	the	DET
bae-8087	268	20	marie	marie	PROPN
bae-8087	268	21	sklodowska	sklodowska	PROPN
bae-8087	268	22	-	-	PUNCT
bae-8087	268	23	curie	curie	PROPN
bae-8087	268	24	grant	grant	NOUN
bae-8087	268	25	agreement	agreement	NOUN
bae-8087	268	26	no	no	DET
bae-8087	268	27	793163	793163	NUM
bae-8087	268	28	.	.	PUNCT
bae-8087	269	1	any	any	DET
bae-8087	269	2	remaining	remain	VERB
bae-8087	269	3	errors	error	NOUN
bae-8087	269	4	are	be	AUX
bae-8087	269	5	the	the	DET
bae-8087	269	6	sole	sole	ADJ
bae-8087	269	7	responsibility	responsibility	NOUN
bae-8087	269	8	of	of	ADP
bae-8087	269	9	the	the	DET
bae-8087	269	10	authors	author	NOUN
bae-8087	269	11	.	.	PUNCT
bae-8087	270	1	references	reference	NOUN
bae-8087	270	2	alemu	alemu	PROPN
bae-8087	270	3	,	,	PUNCT
bae-8087	270	4	m.h	m.h	PROPN
bae-8087	270	5	.	.	PROPN
bae-8087	270	6	,	,	PUNCT
bae-8087	270	7	olsen	olsen	PROPN
bae-8087	270	8	,	,	PUNCT
bae-8087	270	9	s.b	s.b	PROPN
bae-8087	270	10	.	.	PROPN
bae-8087	270	11	,	,	PUNCT
bae-8087	270	12	2019	2019	NUM
bae-8087	270	13	.	.	PUNCT
bae-8087	271	1	linking	link	VERB
bae-8087	271	2	consumers	consumer	NOUN
bae-8087	271	3	’	’	PART
bae-8087	271	4	food	food	NOUN
bae-8087	271	5	choice	choice	NOUN
bae-8087	271	6	motives	motive	NOUN
bae-8087	271	7	to	to	ADP
bae-8087	271	8	their	their	PRON
bae-8087	271	9	preferences	preference	NOUN
bae-8087	271	10	for	for	ADP
bae-8087	271	11	insect	insect	NOUN
bae-8087	271	12	-	-	PUNCT
bae-8087	271	13	based	base	VERB
bae-8087	271	14	food	food	NOUN
bae-8087	271	15	products	product	NOUN
bae-8087	271	16	:	:	PUNCT
bae-8087	271	17	an	an	DET
bae-8087	271	18	application	application	NOUN
bae-8087	271	19	of	of	ADP
bae-8087	271	20	integrated	integrate	VERB
bae-8087	271	21	choice	choice	NOUN
bae-8087	271	22	and	and	CCONJ
bae-8087	271	23	latent	latent	ADJ
bae-8087	271	24	variable	variable	ADJ
bae-8087	271	25	model	model	NOUN
bae-8087	271	26	in	in	ADP
bae-8087	271	27	an	an	DET
bae-8087	271	28	african	african	ADJ
bae-8087	271	29	context	context	NOUN
bae-8087	271	30	.	.	PUNCT
bae-8087	272	1	journal	journal	NOUN
bae-8087	272	2	of	of	ADP
bae-8087	272	3	agricultural	agricultural	ADJ
bae-8087	272	4	economics	economic	NOUN
bae-8087	272	5	70	70	NUM
bae-8087	272	6	,	,	PUNCT
bae-8087	272	7	241–258	241–258	NUM
bae-8087	272	8	.	.	PUNCT
bae-8087	273	1	https://doi.org/10.1111/1477-9552.12285	https://doi.org/10.1111/1477-9552.12285	PROPN
bae-8087	273	2	323the	323the	DET
bae-8087	273	3	use	use	NOUN
bae-8087	273	4	of	of	ADP
bae-8087	273	5	latent	latent	ADJ
bae-8087	273	6	variable	variable	ADJ
bae-8087	273	7	models	model	NOUN
bae-8087	273	8	in	in	ADP
bae-8087	273	9	policy	policy	NOUN
bae-8087	273	10	:	:	PUNCT
bae-8087	273	11	a	a	DET
bae-8087	273	12	road	road	NOUN
bae-8087	273	13	fraught	fraught	ADJ
bae-8087	273	14	with	with	ADP
bae-8087	273	15	peril	peril	NOUN
bae-8087	273	16	?	?	PUNCT
bae-8087	273	17	bahamonde	bahamonde	VERB
bae-8087	273	18	-	-	PUNCT
bae-8087	273	19	birke	birke	NOUN
bae-8087	273	20	,	,	PUNCT
bae-8087	273	21	f.j	f.j	PROPN
bae-8087	273	22	.	.	PROPN
bae-8087	273	23	,	,	PUNCT
bae-8087	273	24	ortúzar	ortúzar	PROPN
bae-8087	273	25	,	,	PUNCT
bae-8087	273	26	j.	j.	PROPN
bae-8087	273	27	de	de	PROPN
bae-8087	273	28	d.	d.	PROPN
bae-8087	273	29	,	,	PUNCT
bae-8087	273	30	2017	2017	NUM
bae-8087	273	31	.	.	PUNCT
bae-8087	274	1	analyzing	analyze	VERB
bae-8087	274	2	the	the	DET
bae-8087	274	3	continuity	continuity	NOUN
bae-8087	274	4	of	of	ADP
bae-8087	274	5	attitudinal	attitudinal	ADJ
bae-8087	274	6	and	and	CCONJ
bae-8087	274	7	perceptual	perceptual	ADJ
bae-8087	274	8	indicators	indicator	NOUN
bae-8087	274	9	in	in	ADP
bae-8087	274	10	hybrid	hybrid	ADJ
bae-8087	274	11	choice	choice	NOUN
bae-8087	274	12	models	model	NOUN
bae-8087	274	13	.	.	PUNCT
bae-8087	275	1	journal	journal	NOUN
bae-8087	275	2	of	of	ADP
bae-8087	275	3	choice	choice	NOUN
bae-8087	275	4	modelling	modelling	NOUN
bae-8087	275	5	,	,	PUNCT
bae-8087	275	6	iatbr	iatbr	NOUN
bae-8087	275	7	2015	2015	NUM
bae-8087	275	8	14th	14th	ADJ
bae-8087	275	9	international	international	ADJ
bae-8087	275	10	conference	conference	NOUN
bae-8087	275	11	on	on	ADP
bae-8087	275	12	travel	travel	NOUN
bae-8087	275	13	behaviour	behaviour	NOUN
bae-8087	275	14	research	research	NOUN
bae-8087	275	15	(	(	PUNCT
bae-8087	275	16	iatbr	iatbr	NOUN
bae-8087	275	17	)	)	PUNCT
bae-8087	275	18	25	25	NUM
bae-8087	275	19	,	,	PUNCT
bae-8087	275	20	28–39	28–39	NUM
bae-8087	275	21	.	.	PUNCT
bae-8087	276	1	https://doi.org/10.1016/j.jocm.2017.01.003	https://doi.org/10.1016/j.jocm.2017.01.003	PROPN
bae-8087	276	2	ben	ben	PROPN
bae-8087	276	3	-	-	PUNCT
bae-8087	276	4	akiva	akiva	ADJ
bae-8087	276	5	,	,	PUNCT
bae-8087	276	6	m.	m.	NOUN
bae-8087	276	7	,	,	PUNCT
bae-8087	276	8	mcfadden	mcfadden	PROPN
bae-8087	276	9	,	,	PUNCT
bae-8087	276	10	d.	d.	PROPN
bae-8087	276	11	,	,	PUNCT
bae-8087	276	12	train	train	NOUN
bae-8087	276	13	,	,	PUNCT
bae-8087	276	14	k.	k.	PROPN
bae-8087	276	15	,	,	PUNCT
bae-8087	276	16	walker	walker	PROPN
bae-8087	276	17	,	,	PUNCT
bae-8087	276	18	j.	j.	PROPN
bae-8087	276	19	,	,	PUNCT
bae-8087	276	20	bhat	bhat	PROPN
bae-8087	276	21	,	,	PUNCT
bae-8087	276	22	c.	c.	NOUN
bae-8087	276	23	,	,	PUNCT
bae-8087	276	24	bierlaire	bierlaire	ADV
bae-8087	276	25	,	,	PUNCT
bae-8087	276	26	m.	m.	NOUN
bae-8087	276	27	,	,	PUNCT
bae-8087	276	28	bolduc	bolduc	PROPN
bae-8087	276	29	,	,	PUNCT
bae-8087	276	30	d.	d.	PROPN
bae-8087	276	31	,	,	PUNCT
bae-8087	276	32	boersch	boersch	PROPN
bae-8087	276	33	-	-	PUNCT
bae-8087	276	34	supan	supan	NOUN
bae-8087	276	35	,	,	PUNCT
bae-8087	276	36	a.	a.	NOUN
bae-8087	276	37	,	,	PUNCT
bae-8087	276	38	brownstone	brownstone	NOUN
bae-8087	276	39	,	,	PUNCT
bae-8087	276	40	d.	d.	PROPN
bae-8087	276	41	,	,	PUNCT
bae-8087	276	42	bunch	bunch	PROPN
bae-8087	276	43	,	,	PUNCT
bae-8087	276	44	d.s	d.s	PROPN
bae-8087	276	45	.	.	PROPN
bae-8087	276	46	,	,	PUNCT
bae-8087	276	47	daly	daly	PROPN
bae-8087	276	48	,	,	PUNCT
bae-8087	276	49	a.	a.	PROPN
bae-8087	276	50	,	,	PUNCT
bae-8087	276	51	de	de	X
bae-8087	276	52	palma	palma	NOUN
bae-8087	276	53	,	,	PUNCT
bae-8087	276	54	a.	a.	NOUN
bae-8087	276	55	,	,	PUNCT
bae-8087	276	56	gopinath	gopinath	PROPN
bae-8087	276	57	,	,	PUNCT
bae-8087	276	58	d.	d.	PROPN
bae-8087	276	59	,	,	PUNCT
bae-8087	276	60	karlstrom	karlstrom	PROPN
bae-8087	276	61	,	,	PUNCT
bae-8087	276	62	a.	a.	NOUN
bae-8087	276	63	,	,	PUNCT
bae-8087	276	64	munizaga	munizaga	NOUN
bae-8087	276	65	,	,	PUNCT
bae-8087	276	66	m.a	m.a	PROPN
bae-8087	276	67	.	.	PROPN
bae-8087	276	68	,	,	PUNCT
bae-8087	276	69	2002	2002	NUM
bae-8087	276	70	.	.	PUNCT
bae-8087	277	1	hybrid	hybrid	ADJ
bae-8087	277	2	choice	choice	NOUN
bae-8087	277	3	models	model	NOUN
bae-8087	277	4	:	:	PUNCT
bae-8087	277	5	progress	progress	NOUN
bae-8087	277	6	and	and	CCONJ
bae-8087	277	7	challenges	challenge	NOUN
bae-8087	277	8	.	.	PUNCT
bae-8087	278	1	marketing	marketing	NOUN
bae-8087	278	2	letters	letter	NOUN
bae-8087	278	3	13	13	NUM
bae-8087	278	4	,	,	PUNCT
bae-8087	278	5	163–175	163–175	NUM
bae-8087	278	6	.	.	PUNCT
bae-8087	279	1	https://doi.org/10.1023/a:1020254301302	https://doi.org/10.1023/a:1020254301302	PROPN
bae-8087	279	2	bhat	bhat	PROPN
bae-8087	279	3	,	,	PUNCT
bae-8087	279	4	c.r	c.r	PROPN
bae-8087	279	5	.	.	PROPN
bae-8087	279	6	,	,	PUNCT
bae-8087	279	7	dubey	dubey	PROPN
bae-8087	279	8	,	,	PUNCT
bae-8087	279	9	s.k	s.k	PROPN
bae-8087	279	10	.	.	PROPN
bae-8087	279	11	,	,	PUNCT
bae-8087	279	12	nagel	nagel	PROPN
bae-8087	279	13	,	,	PUNCT
bae-8087	279	14	k.	k.	PROPN
bae-8087	279	15	,	,	PUNCT
bae-8087	279	16	2015	2015	NUM
bae-8087	279	17	.	.	PUNCT
bae-8087	280	1	introducing	introduce	VERB
bae-8087	280	2	non	non	ADJ
bae-8087	280	3	-	-	NOUN
bae-8087	280	4	normality	normality	NOUN
bae-8087	280	5	of	of	ADP
bae-8087	280	6	latent	latent	NOUN
bae-8087	280	7	psychological	psychological	ADJ
bae-8087	280	8	constructs	construct	NOUN
bae-8087	280	9	in	in	ADP
bae-8087	280	10	choice	choice	NOUN
bae-8087	280	11	modeling	modeling	NOUN
bae-8087	280	12	with	with	ADP
bae-8087	280	13	an	an	DET
bae-8087	280	14	application	application	NOUN
bae-8087	280	15	to	to	PART
bae-8087	280	16	bicyclist	bicyclist	VERB
bae-8087	280	17	route	route	PROPN
bae-8087	280	18	choice	choice	NOUN
bae-8087	280	19	.	.	PUNCT
bae-8087	281	1	transportation	transportation	NOUN
bae-8087	281	2	research	research	NOUN
bae-8087	281	3	part	part	NOUN
bae-8087	281	4	b	b	NOUN
bae-8087	281	5	:	:	PUNCT
bae-8087	281	6	methodological	methodological	ADJ
bae-8087	281	7	78	78	NUM
bae-8087	281	8	,	,	PUNCT
bae-8087	281	9	341–363	341–363	NUM
bae-8087	281	10	.	.	PUNCT
bae-8087	282	1	https://doi	https://doi	X
bae-8087	282	2	.	.	PUNCT
bae-8087	283	1	org/10.1016	org/10.1016	PROPN
bae-8087	283	2	/	/	SYM
bae-8087	283	3	j.trb.2015.04.005	j.trb.2015.04.005	PROPN
bae-8087	283	4	boyce	boyce	PROPN
bae-8087	283	5	,	,	PUNCT
bae-8087	283	6	c.	c.	PROPN
bae-8087	283	7	,	,	PUNCT
bae-8087	283	8	czajkowski	czajkowski	ADJ
bae-8087	283	9	,	,	PUNCT
bae-8087	283	10	m.	m.	NOUN
bae-8087	283	11	,	,	PUNCT
bae-8087	283	12	hanley	hanley	PROPN
bae-8087	283	13	,	,	PUNCT
bae-8087	283	14	n.	n.	NOUN
bae-8087	283	15	,	,	PUNCT
bae-8087	283	16	2019	2019	NUM
bae-8087	283	17	.	.	PUNCT
bae-8087	284	1	personality	personality	NOUN
bae-8087	284	2	and	and	CCONJ
bae-8087	284	3	economic	economic	ADJ
bae-8087	284	4	choices	choice	NOUN
bae-8087	284	5	.	.	PUNCT
bae-8087	285	1	journal	journal	NOUN
bae-8087	285	2	of	of	ADP
bae-8087	285	3	environmental	environmental	ADJ
bae-8087	285	4	economics	economic	NOUN
bae-8087	285	5	and	and	CCONJ
bae-8087	285	6	management	management	NOUN
bae-8087	285	7	94	94	NUM
bae-8087	285	8	,	,	PUNCT
bae-8087	285	9	82–100	82–100	NUM
bae-8087	285	10	.	.	PUNCT
bae-8087	286	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
bae-8087	286	2	.	.	PUNCT
bae-8087	287	1	jeem.2018.12.004	jeem.2018.12.004	PROPN
bae-8087	288	1	chorus	chorus	NOUN
bae-8087	288	2	,	,	PUNCT
bae-8087	288	3	c.g	c.g	PROPN
bae-8087	288	4	.	.	PROPN
bae-8087	288	5	,	,	PUNCT
bae-8087	288	6	kroesen	kroesen	PROPN
bae-8087	288	7	,	,	PUNCT
bae-8087	288	8	m.	m.	NOUN
bae-8087	288	9	,	,	PUNCT
bae-8087	288	10	2014	2014	NUM
bae-8087	288	11	.	.	PUNCT
bae-8087	289	1	on	on	ADP
bae-8087	289	2	the	the	DET
bae-8087	289	3	(	(	PUNCT
bae-8087	289	4	im-)possibility	im-)possibility	NOUN
bae-8087	289	5	of	of	ADP
bae-8087	289	6	deriving	derive	VERB
bae-8087	289	7	transport	transport	NOUN
bae-8087	289	8	policy	policy	NOUN
bae-8087	289	9	implications	implication	NOUN
bae-8087	289	10	from	from	ADP
bae-8087	289	11	hybrid	hybrid	ADJ
bae-8087	289	12	choice	choice	NOUN
bae-8087	289	13	models	model	NOUN
bae-8087	289	14	.	.	PUNCT
bae-8087	290	1	transport	transport	NOUN
bae-8087	290	2	policy	policy	NOUN
bae-8087	290	3	36	36	NUM
bae-8087	290	4	,	,	PUNCT
bae-8087	290	5	217–222	217–222	NUM
bae-8087	290	6	.	.	PUNCT
bae-8087	291	1	https://doi	https://doi	X
bae-8087	291	2	.	.	PUNCT
bae-8087	291	3	org/10.1016	org/10.1016	PROPN
bae-8087	291	4	/	/	SYM
bae-8087	291	5	j.tranpol.2014.09.001	j.tranpol.2014.09.001	PROPN
bae-8087	291	6	daly	daly	PROPN
bae-8087	291	7	,	,	PUNCT
bae-8087	291	8	a.	a.	PROPN
bae-8087	291	9	,	,	PUNCT
bae-8087	291	10	hess	hess	PROPN
bae-8087	291	11	,	,	PUNCT
bae-8087	291	12	s.	s.	PROPN
bae-8087	291	13	,	,	PUNCT
bae-8087	291	14	patruni	patruni	PROPN
bae-8087	291	15	,	,	PUNCT
bae-8087	291	16	b.	b.	PROPN
bae-8087	291	17	,	,	PUNCT
bae-8087	291	18	potoglou	potoglou	PROPN
bae-8087	291	19	,	,	PUNCT
bae-8087	291	20	d.	d.	PROPN
bae-8087	291	21	,	,	PUNCT
bae-8087	291	22	rohr	rohr	PROPN
bae-8087	291	23	,	,	PUNCT
bae-8087	291	24	c.	c.	NOUN
bae-8087	291	25	,	,	PUNCT
bae-8087	291	26	2012	2012	NUM
bae-8087	291	27	.	.	PUNCT
bae-8087	292	1	using	use	VERB
bae-8087	292	2	ordered	order	VERB
bae-8087	292	3	attitudinal	attitudinal	ADJ
bae-8087	292	4	indicators	indicator	NOUN
bae-8087	292	5	in	in	ADP
bae-8087	292	6	a	a	DET
bae-8087	292	7	latent	latent	ADJ
bae-8087	292	8	variable	variable	ADJ
bae-8087	292	9	choice	choice	NOUN
bae-8087	292	10	model	model	NOUN
bae-8087	292	11	:	:	PUNCT
bae-8087	292	12	a	a	DET
bae-8087	292	13	study	study	NOUN
bae-8087	292	14	of	of	ADP
bae-8087	292	15	the	the	DET
bae-8087	292	16	impact	impact	NOUN
bae-8087	292	17	of	of	ADP
bae-8087	292	18	security	security	NOUN
bae-8087	292	19	on	on	ADP
bae-8087	292	20	rail	rail	NOUN
bae-8087	292	21	travel	travel	NOUN
bae-8087	292	22	behaviour	behaviour	NOUN
bae-8087	292	23	.	.	PUNCT
bae-8087	293	1	transportation	transportation	NOUN
bae-8087	293	2	39	39	NUM
bae-8087	293	3	,	,	PUNCT
bae-8087	293	4	267–297	267–297	NUM
bae-8087	293	5	.	.	PUNCT
bae-8087	294	1	https://doi.org/10.1007/s11116-011-9351-z	https://doi.org/10.1007/s11116-011-9351-z	PROPN
bae-8087	294	2	guevara	guevara	PROPN
bae-8087	294	3	,	,	PUNCT
bae-8087	294	4	c.a	c.a	PROPN
bae-8087	294	5	.	.	PROPN
bae-8087	294	6	,	,	PUNCT
bae-8087	294	7	ben	ben	PROPN
bae-8087	294	8	-	-	ADJ
bae-8087	294	9	akiva	akiva	ADJ
bae-8087	294	10	,	,	PUNCT
bae-8087	294	11	m.	m.	NOUN
bae-8087	294	12	,	,	PUNCT
bae-8087	294	13	2010	2010	NUM
bae-8087	294	14	.	.	PUNCT
bae-8087	295	1	addressing	address	VERB
bae-8087	295	2	endogeneity	endogeneity	NOUN
bae-8087	295	3	in	in	ADP
bae-8087	295	4	discrete	discrete	ADJ
bae-8087	295	5	choice	choice	NOUN
bae-8087	295	6	models	model	NOUN
bae-8087	295	7	:	:	PUNCT
bae-8087	295	8	assessing	assess	VERB
bae-8087	295	9	control	control	NOUN
bae-8087	295	10	-	-	PUNCT
bae-8087	295	11	function	function	NOUN
bae-8087	295	12	and	and	CCONJ
bae-8087	295	13	latent	latent	ADJ
bae-8087	295	14	-	-	PUNCT
bae-8087	295	15	variable	variable	ADJ
bae-8087	295	16	methods	method	NOUN
bae-8087	295	17	,	,	PUNCT
bae-8087	295	18	in	in	ADP
bae-8087	295	19	:	:	PUNCT
bae-8087	295	20	hess	hess	PROPN
bae-8087	295	21	,	,	PUNCT
bae-8087	295	22	s.	s.	PROPN
bae-8087	295	23	,	,	PUNCT
bae-8087	295	24	daly	daly	PROPN
bae-8087	295	25	,	,	PUNCT
bae-8087	295	26	a.	a.	PROPN
bae-8087	295	27	(	(	PUNCT
bae-8087	295	28	eds	eds	PROPN
bae-8087	295	29	.	.	PUNCT
bae-8087	295	30	)	)	PUNCT
bae-8087	295	31	,	,	PUNCT
bae-8087	295	32	choice	choice	NOUN
bae-8087	295	33	modelling	modelling	NOUN
bae-8087	295	34	:	:	PUNCT
bae-8087	295	35	the	the	DET
bae-8087	295	36	state	state	NOUN
bae-8087	295	37	-	-	PUNCT
bae-8087	295	38	of	of	ADP
bae-8087	295	39	-	-	PUNCT
bae-8087	295	40	the	the	DET
bae-8087	295	41	-	-	PUNCT
bae-8087	295	42	art	art	NOUN
bae-8087	295	43	and	and	CCONJ
bae-8087	295	44	the	the	DET
bae-8087	295	45	state	state	NOUN
bae-8087	295	46	-	-	PUNCT
bae-8087	295	47	of	of	ADP
bae-8087	295	48	-	-	PUNCT
bae-8087	295	49	practice	practice	NOUN
bae-8087	295	50	.	.	PUNCT
bae-8087	296	1	emerald	emerald	NOUN
bae-8087	296	2	group	group	PROPN
bae-8087	296	3	publishing	publishing	PROPN
bae-8087	296	4	limited	limit	VERB
bae-8087	296	5	,	,	PUNCT
bae-8087	296	6	pp	pp	ADJ
bae-8087	296	7	.	.	PUNCT
bae-8087	297	1	353–370	353–370	NUM
bae-8087	297	2	.	.	PUNCT
bae-8087	298	1	https://doi.org/10.1108/9781849507738-016	https://doi.org/10.1108/9781849507738-016	PROPN
bae-8087	298	2	henningsen	henningsen	PROPN
bae-8087	298	3	,	,	PUNCT
bae-8087	298	4	a.	a.	NOUN
bae-8087	298	5	,	,	PUNCT
bae-8087	298	6	toomet	toomet	NOUN
bae-8087	298	7	,	,	PUNCT
bae-8087	298	8	o.	o.	NOUN
bae-8087	298	9	,	,	PUNCT
bae-8087	298	10	2011	2011	NUM
bae-8087	298	11	.	.	PUNCT
bae-8087	299	1	maxlik	maxlik	PROPN
bae-8087	299	2	:	:	PUNCT
bae-8087	299	3	a	a	DET
bae-8087	299	4	package	package	NOUN
bae-8087	299	5	for	for	ADP
bae-8087	299	6	maximum	maximum	ADJ
bae-8087	299	7	likelihood	likelihood	NOUN
bae-8087	299	8	estimation	estimation	NOUN
bae-8087	299	9	in	in	ADP
bae-8087	299	10	r.	r.	PROPN
bae-8087	299	11	computational	computational	PROPN
bae-8087	299	12	statistics	statistic	NOUN
bae-8087	299	13	,	,	PUNCT
bae-8087	299	14	computational	computational	PROPN
bae-8087	299	15	s	s	NOUN
bae-8087	299	16	26	26	NUM
bae-8087	299	17	,	,	PUNCT
bae-8087	299	18	443–458	443–458	NUM
bae-8087	299	19	.	.	PUNCT
bae-8087	300	1	https://doi	https://doi	NOUN
bae-8087	300	2	.	.	PUNCT
bae-8087	300	3	org/10.1007	org/10.1007	PROPN
bae-8087	300	4	/	/	SYM
bae-8087	300	5	s00180	s00180	PROPN
bae-8087	300	6	-	-	PUNCT
bae-8087	300	7	010	010	NUM
bae-8087	300	8	-	-	PUNCT
bae-8087	300	9	0217	0217	NUM
bae-8087	300	10	-	-	SYM
bae-8087	300	11	1	1	NUM
bae-8087	300	12	hess	hess	NOUN
bae-8087	300	13	,	,	PUNCT
bae-8087	300	14	s.	s.	PROPN
bae-8087	300	15	,	,	PUNCT
bae-8087	300	16	2012	2012	NUM
bae-8087	300	17	.	.	PUNCT
bae-8087	301	1	rethinking	rethink	VERB
bae-8087	301	2	heterogeneity	heterogeneity	NOUN
bae-8087	301	3	:	:	PUNCT
bae-8087	301	4	the	the	DET
bae-8087	301	5	role	role	NOUN
bae-8087	301	6	of	of	ADP
bae-8087	301	7	attitudes	attitude	NOUN
bae-8087	301	8	,	,	PUNCT
bae-8087	301	9	decision	decision	NOUN
bae-8087	301	10	rules	rule	NOUN
bae-8087	301	11	and	and	CCONJ
bae-8087	301	12	information	information	NOUN
bae-8087	301	13	processing	processing	NOUN
bae-8087	301	14	strategies	strategy	NOUN
bae-8087	301	15	.	.	PUNCT
bae-8087	302	1	transportation	transportation	NOUN
bae-8087	302	2	letters	letter	NOUN
bae-8087	302	3	4	4	NUM
bae-8087	302	4	,	,	PUNCT
bae-8087	302	5	105–113	105–113	NUM
bae-8087	302	6	.	.	PUNCT
bae-8087	303	1	https://doi.org/10.3328/	https://doi.org/10.3328/	PROPN
bae-8087	303	2	tl.2012.04.02.105	tl.2012.04.02.105	PROPN
bae-8087	303	3	-	-	PUNCT
bae-8087	303	4	113	113	NUM
bae-8087	303	5	hess	hess	NOUN
bae-8087	303	6	,	,	PUNCT
bae-8087	303	7	s.	s.	PROPN
bae-8087	303	8	,	,	PUNCT
bae-8087	303	9	stathopoulos	stathopoulos	PROPN
bae-8087	303	10	,	,	PUNCT
bae-8087	303	11	a.	a.	NOUN
bae-8087	303	12	,	,	PUNCT
bae-8087	303	13	2013	2013	NUM
bae-8087	303	14	.	.	PUNCT
bae-8087	304	1	linking	link	VERB
bae-8087	304	2	response	response	NOUN
bae-8087	304	3	quality	quality	NOUN
bae-8087	304	4	to	to	PART
bae-8087	304	5	survey	survey	VERB
bae-8087	304	6	engagement	engagement	NOUN
bae-8087	304	7	:	:	PUNCT
bae-8087	304	8	a	a	DET
bae-8087	304	9	combined	combine	VERB
bae-8087	304	10	random	random	ADJ
bae-8087	304	11	scale	scale	NOUN
bae-8087	304	12	and	and	CCONJ
bae-8087	304	13	latent	latent	ADJ
bae-8087	304	14	variable	variable	ADJ
bae-8087	304	15	approach	approach	NOUN
bae-8087	304	16	.	.	PUNCT
bae-8087	305	1	journal	journal	NOUN
bae-8087	305	2	of	of	ADP
bae-8087	305	3	choice	choice	NOUN
bae-8087	305	4	modelling	model	VERB
bae-8087	305	5	7	7	NUM
bae-8087	305	6	,	,	PUNCT
bae-8087	305	7	1–12	1–12	NOUN
bae-8087	305	8	.	.	PUNCT
bae-8087	306	1	https://doi.org/10.1016/j.jocm.2013.03.005	https://doi.org/10.1016/j.jocm.2013.03.005	PROPN
bae-8087	306	2	hoyos	hoyos	PROPN
bae-8087	306	3	,	,	PUNCT
bae-8087	306	4	d.	d.	PROPN
bae-8087	306	5	,	,	PUNCT
bae-8087	306	6	mariel	mariel	PROPN
bae-8087	306	7	,	,	PUNCT
bae-8087	306	8	p.	p.	PROPN
bae-8087	306	9	,	,	PUNCT
bae-8087	306	10	hess	hess	PROPN
bae-8087	306	11	,	,	PUNCT
bae-8087	306	12	s.	s.	PROPN
bae-8087	306	13	,	,	PUNCT
bae-8087	306	14	2015	2015	NUM
bae-8087	306	15	.	.	PUNCT
bae-8087	307	1	incorporating	incorporate	VERB
bae-8087	307	2	environmental	environmental	ADJ
bae-8087	307	3	attitudes	attitude	NOUN
bae-8087	307	4	in	in	ADP
bae-8087	307	5	discrete	discrete	ADJ
bae-8087	307	6	choice	choice	NOUN
bae-8087	307	7	models	model	NOUN
bae-8087	307	8	:	:	PUNCT
bae-8087	307	9	an	an	DET
bae-8087	307	10	exploration	exploration	NOUN
bae-8087	307	11	of	of	ADP
bae-8087	307	12	the	the	DET
bae-8087	307	13	utility	utility	NOUN
bae-8087	307	14	of	of	ADP
bae-8087	307	15	the	the	DET
bae-8087	307	16	awareness	awareness	NOUN
bae-8087	307	17	of	of	ADP
bae-8087	307	18	consequences	consequence	NOUN
bae-8087	307	19	scale	scale	NOUN
bae-8087	307	20	.	.	PUNCT
bae-8087	308	1	science	science	NOUN
bae-8087	308	2	of	of	ADP
bae-8087	308	3	the	the	DET
bae-8087	308	4	total	total	ADJ
bae-8087	308	5	environment	environment	NOUN
bae-8087	308	6	505	505	NUM
bae-8087	308	7	,	,	PUNCT
bae-8087	308	8	1100–1111	1100–1111	NUM
bae-8087	308	9	.	.	PUNCT
bae-8087	309	1	https://doi.org/10.1016/j.scitotenv.2014.10.066	https://doi.org/10.1016/j.scitotenv.2014.10.066	PROPN
bae-8087	309	2	kassahun	kassahun	PROPN
bae-8087	309	3	,	,	PUNCT
bae-8087	309	4	h.t	h.t	PROPN
bae-8087	309	5	.	.	PROPN
bae-8087	309	6	,	,	PUNCT
bae-8087	309	7	nicholson	nicholson	PROPN
bae-8087	309	8	,	,	PUNCT
bae-8087	309	9	c.f	c.f	PROPN
bae-8087	309	10	.	.	PROPN
bae-8087	309	11	,	,	PUNCT
bae-8087	309	12	jacobsen	jacobsen	PROPN
bae-8087	309	13	,	,	PUNCT
bae-8087	309	14	j.b	j.b	PROPN
bae-8087	309	15	.	.	PROPN
bae-8087	309	16	,	,	PUNCT
bae-8087	309	17	steenhuis	steenhuis	PROPN
bae-8087	309	18	,	,	PUNCT
bae-8087	309	19	t.s	t.s	PROPN
bae-8087	309	20	.	.	PROPN
bae-8087	309	21	,	,	PUNCT
bae-8087	309	22	2016	2016	NUM
bae-8087	309	23	.	.	PUNCT
bae-8087	310	1	accounting	account	VERB
bae-8087	310	2	for	for	ADP
bae-8087	310	3	user	user	NOUN
bae-8087	310	4	expectations	expectation	NOUN
bae-8087	310	5	in	in	ADP
bae-8087	310	6	the	the	DET
bae-8087	310	7	valuation	valuation	NOUN
bae-8087	310	8	of	of	ADP
bae-8087	310	9	reliable	reliable	ADJ
bae-8087	310	10	irrigation	irrigation	NOUN
bae-8087	310	11	water	water	NOUN
bae-8087	310	12	access	access	NOUN
bae-8087	310	13	in	in	ADP
bae-8087	310	14	the	the	DET
bae-8087	310	15	ethiopian	ethiopian	PROPN
bae-8087	310	16	highlands	highlands	PROPN
bae-8087	310	17	.	.	PUNCT
bae-8087	311	1	agricultural	agricultural	ADJ
bae-8087	311	2	water	water	NOUN
bae-8087	311	3	management	management	NOUN
bae-8087	311	4	168	168	NUM
bae-8087	311	5	,	,	PUNCT
bae-8087	311	6	45–55	45–55	NUM
bae-8087	311	7	.	.	PUNCT
bae-8087	312	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
bae-8087	312	2	.	.	PUNCT
bae-8087	313	1	agwat.2016.01.017	agwat.2016.01.017	ADV
bae-8087	313	2	kroesen	kroesen	VERB
bae-8087	313	3	,	,	PUNCT
bae-8087	313	4	m.	m.	NOUN
bae-8087	313	5	,	,	PUNCT
bae-8087	313	6	chorus	chorus	NOUN
bae-8087	313	7	,	,	PUNCT
bae-8087	313	8	c.	c.	NOUN
bae-8087	313	9	,	,	PUNCT
bae-8087	313	10	2018	2018	NUM
bae-8087	313	11	.	.	PUNCT
bae-8087	314	1	the	the	DET
bae-8087	314	2	role	role	NOUN
bae-8087	314	3	of	of	ADP
bae-8087	314	4	general	general	ADJ
bae-8087	314	5	and	and	CCONJ
bae-8087	314	6	specific	specific	ADJ
bae-8087	314	7	attitudes	attitude	NOUN
bae-8087	314	8	in	in	ADP
bae-8087	314	9	predicting	predict	VERB
bae-8087	314	10	travel	travel	NOUN
bae-8087	314	11	behavior	behavior	NOUN
bae-8087	314	12	–	–	PUNCT
bae-8087	314	13	a	a	DET
bae-8087	314	14	fatal	fatal	ADJ
bae-8087	314	15	dilemma	dilemma	NOUN
bae-8087	314	16	?	?	PUNCT
bae-8087	315	1	travel	travel	NOUN
bae-8087	315	2	behaviour	behaviour	NOUN
bae-8087	315	3	and	and	CCONJ
bae-8087	315	4	society	society	NOUN
bae-8087	315	5	10	10	NUM
bae-8087	315	6	,	,	PUNCT
bae-8087	315	7	33–41	33–41	NUM
bae-8087	315	8	.	.	PUNCT
bae-8087	316	1	https://	https://	PROPN
bae-8087	316	2	doi.org/10.1016/j.tbs.2017.09.004	doi.org/10.1016/j.tbs.2017.09.004	VERB
bae-8087	316	3	324	324	NUM
bae-8087	316	4	danny	danny	PROPN
bae-8087	316	5	campbell	campbell	PROPN
bae-8087	316	6	,	,	PUNCT
bae-8087	316	7	erlend	erlend	VERB
bae-8087	316	8	dancke	dancke	PROPN
bae-8087	316	9	sandorf	sandorf	PROPN
bae-8087	316	10	kroesen	kroesen	PROPN
bae-8087	316	11	,	,	PUNCT
bae-8087	316	12	m.	m.	NOUN
bae-8087	316	13	,	,	PUNCT
bae-8087	316	14	handy	handy	ADJ
bae-8087	316	15	,	,	PUNCT
bae-8087	316	16	s.	s.	PROPN
bae-8087	316	17	,	,	PUNCT
bae-8087	316	18	chorus	chorus	NOUN
bae-8087	316	19	,	,	PUNCT
bae-8087	316	20	c.	c.	NOUN
bae-8087	316	21	,	,	PUNCT
bae-8087	316	22	2017	2017	NUM
bae-8087	316	23	.	.	PUNCT
bae-8087	317	1	do	do	AUX
bae-8087	317	2	attitudes	attitude	NOUN
bae-8087	317	3	cause	cause	VERB
bae-8087	317	4	behavior	behavior	NOUN
bae-8087	317	5	or	or	CCONJ
bae-8087	317	6	vice	vice	NOUN
bae-8087	317	7	versa	versa	ADV
bae-8087	317	8	?	?	PUNCT
bae-8087	318	1	an	an	DET
bae-8087	318	2	alternative	alternative	ADJ
bae-8087	318	3	conceptualization	conceptualization	NOUN
bae-8087	318	4	of	of	ADP
bae-8087	318	5	the	the	DET
bae-8087	318	6	attitude	attitude	NOUN
bae-8087	318	7	-	-	PUNCT
bae-8087	318	8	behavior	behavior	NOUN
bae-8087	318	9	relationship	relationship	NOUN
bae-8087	318	10	in	in	ADP
bae-8087	318	11	travel	travel	NOUN
bae-8087	318	12	behavior	behavior	NOUN
bae-8087	318	13	modeling	modeling	NOUN
bae-8087	318	14	.	.	PUNCT
bae-8087	319	1	transportation	transportation	NOUN
bae-8087	319	2	research	research	NOUN
bae-8087	319	3	part	part	NOUN
bae-8087	319	4	a	a	DET
bae-8087	319	5	:	:	PUNCT
bae-8087	319	6	policy	policy	NOUN
bae-8087	319	7	and	and	CCONJ
bae-8087	319	8	practice	practice	NOUN
bae-8087	319	9	101	101	NUM
bae-8087	319	10	,	,	PUNCT
bae-8087	319	11	190–202	190–202	NUM
bae-8087	319	12	.	.	PUNCT
bae-8087	320	1	https://	https://	PROPN
bae-8087	320	2	doi.org/10.1016/j.tra.2017.05.013	doi.org/10.1016/j.tra.2017.05.013	PROPN
bae-8087	320	3	lundhede	lundhede	NOUN
bae-8087	320	4	,	,	PUNCT
bae-8087	320	5	t.	t.	PROPN
bae-8087	320	6	,	,	PUNCT
bae-8087	320	7	jacobsen	jacobsen	PROPN
bae-8087	320	8	,	,	PUNCT
bae-8087	320	9	j.b	j.b	PROPN
bae-8087	320	10	.	.	PROPN
bae-8087	320	11	,	,	PUNCT
bae-8087	320	12	hanley	hanley	PROPN
bae-8087	320	13	,	,	PUNCT
bae-8087	320	14	n.	n.	NOUN
bae-8087	320	15	,	,	PUNCT
bae-8087	320	16	strange	strange	ADJ
bae-8087	320	17	,	,	PUNCT
bae-8087	320	18	n.	n.	NOUN
bae-8087	320	19	,	,	PUNCT
bae-8087	320	20	thorsen	thorsen	PROPN
bae-8087	320	21	,	,	PUNCT
bae-8087	320	22	b.j	b.j	PROPN
bae-8087	320	23	.	.	PROPN
bae-8087	320	24	,	,	PUNCT
bae-8087	320	25	2015	2015	NUM
bae-8087	320	26	.	.	PUNCT
bae-8087	321	1	incorporating	incorporate	VERB
bae-8087	321	2	outcome	outcome	NOUN
bae-8087	321	3	uncertainty	uncertainty	NOUN
bae-8087	321	4	and	and	CCONJ
bae-8087	321	5	prior	prior	ADJ
bae-8087	321	6	outcome	outcome	NOUN
bae-8087	321	7	beliefs	belief	NOUN
bae-8087	321	8	in	in	ADP
bae-8087	321	9	stated	stated	ADJ
bae-8087	321	10	preferences	preference	NOUN
bae-8087	321	11	.	.	PUNCT
bae-8087	322	1	land	land	NOUN
bae-8087	322	2	economics	economic	NOUN
bae-8087	322	3	91	91	NUM
bae-8087	322	4	,	,	PUNCT
bae-8087	322	5	296–316	296–316	NUM
bae-8087	322	6	.	.	PUNCT
bae-8087	323	1	https://doi.org/10.3368/le.91.2.296	https://doi.org/10.3368/le.91.2.296	NOUN
bae-8087	323	2	mariel	mariel	PROPN
bae-8087	323	3	,	,	PUNCT
bae-8087	323	4	p.	p.	PROPN
bae-8087	323	5	,	,	PUNCT
bae-8087	323	6	artabe	artabe	PROPN
bae-8087	323	7	,	,	PUNCT
bae-8087	323	8	a.	a.	NOUN
bae-8087	323	9	,	,	PUNCT
bae-8087	323	10	2020	2020	NUM
bae-8087	323	11	.	.	PUNCT
bae-8087	324	1	interpreting	interpret	VERB
bae-8087	324	2	correlated	correlate	VERB
bae-8087	324	3	random	random	ADJ
bae-8087	324	4	parameters	parameter	NOUN
bae-8087	324	5	in	in	ADP
bae-8087	324	6	choice	choice	NOUN
bae-8087	324	7	experiments	experiment	NOUN
bae-8087	324	8	.	.	PUNCT
bae-8087	325	1	journal	journal	NOUN
bae-8087	325	2	of	of	ADP
bae-8087	325	3	environmental	environmental	ADJ
bae-8087	325	4	economics	economic	NOUN
bae-8087	325	5	and	and	CCONJ
bae-8087	325	6	management	management	NOUN
bae-8087	325	7	103	103	NUM
bae-8087	325	8	,	,	PUNCT
bae-8087	325	9	102363	102363	NUM
bae-8087	325	10	.	.	PUNCT
bae-8087	326	1	https://	https://	PROPN
bae-8087	326	2	doi.org/10.1016/j.jeem.2020.102363	doi.org/10.1016/j.jeem.2020.102363	PROPN
bae-8087	326	3	mariel	mariel	PROPN
bae-8087	326	4	,	,	PUNCT
bae-8087	326	5	p.	p.	PROPN
bae-8087	326	6	,	,	PUNCT
bae-8087	326	7	hoyos	hoyos	PROPN
bae-8087	326	8	,	,	PUNCT
bae-8087	326	9	d.	d.	PROPN
bae-8087	326	10	,	,	PUNCT
bae-8087	326	11	artabe	artabe	PROPN
bae-8087	326	12	,	,	PUNCT
bae-8087	326	13	a.	a.	NOUN
bae-8087	326	14	,	,	PUNCT
bae-8087	326	15	guevara	guevara	PROPN
bae-8087	326	16	,	,	PUNCT
bae-8087	326	17	c.a	c.a	PROPN
bae-8087	326	18	.	.	PROPN
bae-8087	326	19	,	,	PUNCT
bae-8087	326	20	2018	2018	NUM
bae-8087	326	21	.	.	PUNCT
bae-8087	327	1	a	a	DET
bae-8087	327	2	multiple	multiple	ADJ
bae-8087	327	3	indicator	indicator	NOUN
bae-8087	327	4	solution	solution	NOUN
bae-8087	327	5	approach	approach	NOUN
bae-8087	327	6	to	to	ADP
bae-8087	327	7	endogeneity	endogeneity	NOUN
bae-8087	327	8	in	in	ADP
bae-8087	327	9	discrete	discrete	ADJ
bae-8087	327	10	-	-	PUNCT
bae-8087	327	11	choice	choice	NOUN
bae-8087	327	12	models	model	NOUN
bae-8087	327	13	for	for	ADP
bae-8087	327	14	environmental	environmental	ADJ
bae-8087	327	15	valuation	valuation	NOUN
bae-8087	327	16	.	.	PUNCT
bae-8087	328	1	science	science	NOUN
bae-8087	328	2	of	of	ADP
bae-8087	328	3	the	the	DET
bae-8087	328	4	total	total	ADJ
bae-8087	328	5	environment	environment	NOUN
bae-8087	328	6	633	633	NUM
bae-8087	328	7	,	,	PUNCT
bae-8087	328	8	967–980	967–980	NUM
bae-8087	328	9	.	.	PUNCT
bae-8087	329	1	https://doi.org/10.1016/j.scitotenv.2018.03.254	https://doi.org/10.1016/j.scitotenv.2018.03.254	PROPN
bae-8087	329	2	mariel	mariel	PROPN
bae-8087	329	3	,	,	PUNCT
bae-8087	329	4	p.	p.	PROPN
bae-8087	329	5	,	,	PUNCT
bae-8087	329	6	meyerhoff	meyerhoff	NOUN
bae-8087	329	7	,	,	PUNCT
bae-8087	329	8	j.	j.	PROPN
bae-8087	329	9	,	,	PUNCT
bae-8087	329	10	2018	2018	NUM
bae-8087	329	11	.	.	PUNCT
bae-8087	330	1	a	a	DET
bae-8087	330	2	more	more	ADV
bae-8087	330	3	flexible	flexible	ADJ
bae-8087	330	4	model	model	NOUN
bae-8087	330	5	or	or	CCONJ
bae-8087	330	6	simply	simply	ADV
bae-8087	330	7	more	more	ADJ
bae-8087	330	8	effort	effort	NOUN
bae-8087	330	9	?	?	PUNCT
bae-8087	331	1	on	on	ADP
bae-8087	331	2	the	the	DET
bae-8087	331	3	use	use	NOUN
bae-8087	331	4	of	of	ADP
bae-8087	331	5	correlated	correlate	VERB
bae-8087	331	6	random	random	ADJ
bae-8087	331	7	parameters	parameter	NOUN
bae-8087	331	8	in	in	ADP
bae-8087	331	9	applied	apply	VERB
bae-8087	331	10	choice	choice	NOUN
bae-8087	331	11	studies	study	NOUN
bae-8087	331	12	.	.	PUNCT
bae-8087	332	1	ecological	ecological	ADJ
bae-8087	332	2	economics	economic	NOUN
bae-8087	332	3	154	154	NUM
bae-8087	332	4	,	,	PUNCT
bae-8087	332	5	419–429	419–429	NUM
bae-8087	332	6	.	.	PUNCT
bae-8087	333	1	https://doi.org/10.1016/j.ecolecon.2018.08.020	https://doi.org/10.1016/j.ecolecon.2018.08.020	PROPN
bae-8087	333	2	mariel	mariel	PROPN
bae-8087	333	3	,	,	PUNCT
bae-8087	333	4	p.	p.	PROPN
bae-8087	333	5	,	,	PUNCT
bae-8087	333	6	meyerhoff	meyerhoff	NOUN
bae-8087	333	7	,	,	PUNCT
bae-8087	333	8	j.	j.	PROPN
bae-8087	333	9	,	,	PUNCT
bae-8087	333	10	2016	2016	NUM
bae-8087	333	11	.	.	PUNCT
bae-8087	334	1	hybrid	hybrid	ADJ
bae-8087	334	2	discrete	discrete	ADJ
bae-8087	334	3	choice	choice	NOUN
bae-8087	334	4	models	model	NOUN
bae-8087	334	5	:	:	PUNCT
bae-8087	334	6	gained	gain	VERB
bae-8087	334	7	insights	insight	NOUN
bae-8087	334	8	versus	versus	ADP
bae-8087	334	9	increasing	increase	VERB
bae-8087	334	10	effort	effort	NOUN
bae-8087	334	11	.	.	PUNCT
bae-8087	335	1	science	science	NOUN
bae-8087	335	2	of	of	ADP
bae-8087	335	3	the	the	DET
bae-8087	335	4	total	total	ADJ
bae-8087	335	5	environment	environment	NOUN
bae-8087	335	6	568	568	NUM
bae-8087	335	7	,	,	PUNCT
bae-8087	335	8	433–443	433–443	NUM
bae-8087	335	9	.	.	PUNCT
bae-8087	336	1	https://doi	https://doi	X
bae-8087	336	2	.	.	PUNCT
bae-8087	336	3	org/10.1016	org/10.1016	PROPN
bae-8087	336	4	/	/	SYM
bae-8087	336	5	j.scitotenv.2016.06.019	j.scitotenv.2016.06.019	PROPN
bae-8087	336	6	mcfadden	mcfadden	PROPN
bae-8087	336	7	,	,	PUNCT
bae-8087	336	8	d.	d.	PROPN
bae-8087	336	9	,	,	PUNCT
bae-8087	336	10	1986	1986	NUM
bae-8087	336	11	.	.	PUNCT
bae-8087	337	1	the	the	DET
bae-8087	337	2	choice	choice	NOUN
bae-8087	337	3	theory	theory	NOUN
bae-8087	337	4	approach	approach	NOUN
bae-8087	337	5	to	to	ADP
bae-8087	337	6	market	market	NOUN
bae-8087	337	7	research	research	NOUN
bae-8087	337	8	.	.	PUNCT
bae-8087	338	1	marketing	marketing	NOUN
bae-8087	338	2	science	science	NOUN
bae-8087	338	3	5	5	NUM
bae-8087	338	4	,	,	PUNCT
bae-8087	338	5	275–297	275–297	NUM
bae-8087	338	6	.	.	PUNCT
bae-8087	339	1	https://doi.org/10.1287/mksc.5.4.275	https://doi.org/10.1287/mksc.5.4.275	PROPN
bae-8087	339	2	mcfadden	mcfadden	PROPN
bae-8087	339	3	,	,	PUNCT
bae-8087	339	4	d.	d.	PROPN
bae-8087	339	5	,	,	PUNCT
bae-8087	339	6	train	train	NOUN
bae-8087	339	7	,	,	PUNCT
bae-8087	339	8	k.	k.	PROPN
bae-8087	339	9	,	,	PUNCT
bae-8087	339	10	2000	2000	NUM
bae-8087	339	11	.	.	PUNCT
bae-8087	340	1	mixed	mixed	ADJ
bae-8087	340	2	mnl	mnl	NOUN
bae-8087	340	3	models	model	NOUN
bae-8087	340	4	for	for	ADP
bae-8087	340	5	discrete	discrete	ADJ
bae-8087	340	6	response	response	NOUN
bae-8087	340	7	.	.	PUNCT
bae-8087	341	1	journal	journal	NOUN
bae-8087	341	2	of	of	ADP
bae-8087	341	3	applied	apply	VERB
bae-8087	341	4	econometrics	econometric	NOUN
bae-8087	341	5	15	15	NUM
bae-8087	341	6	,	,	PUNCT
bae-8087	341	7	447–470	447–470	NUM
bae-8087	341	8	.	.	PUNCT
bae-8087	342	1	https://doi.org/10.1002/10991255(200009/10)15:5<447::aid-jae570>3.0.co;2-1	https://doi.org/10.1002/10991255(200009/10)15:5<447::aid-jae570>3.0.co;2-1	NUM
bae-8087	342	2	r	r	NOUN
bae-8087	342	3	core	core	NOUN
bae-8087	342	4	team	team	NOUN
bae-8087	342	5	,	,	PUNCT
bae-8087	342	6	2020	2020	NUM
bae-8087	342	7	.	.	PUNCT
bae-8087	343	1	r	r	X
bae-8087	343	2	:	:	PUNCT
bae-8087	343	3	a	a	DET
bae-8087	343	4	language	language	NOUN
bae-8087	343	5	and	and	CCONJ
bae-8087	343	6	environment	environment	NOUN
bae-8087	343	7	for	for	ADP
bae-8087	343	8	statistical	statistical	ADJ
bae-8087	343	9	computing	computing	NOUN
bae-8087	343	10	.	.	PUNCT
bae-8087	344	1	r	r	NOUN
bae-8087	344	2	foundation	foundation	NOUN
bae-8087	344	3	for	for	ADP
bae-8087	344	4	statistical	statistical	ADJ
bae-8087	344	5	computing	computing	NOUN
bae-8087	344	6	,	,	PUNCT
bae-8087	344	7	vienna	vienna	PROPN
bae-8087	344	8	,	,	PUNCT
bae-8087	344	9	austria	austria	PROPN
bae-8087	344	10	.	.	PUNCT
bae-8087	345	1	taye	taye	PROPN
bae-8087	345	2	,	,	PUNCT
bae-8087	345	3	f.a	f.a	PROPN
bae-8087	345	4	.	.	PROPN
bae-8087	345	5	,	,	PUNCT
bae-8087	345	6	vedel	vedel	PROPN
bae-8087	345	7	,	,	PUNCT
bae-8087	345	8	s.e	s.e	PROPN
bae-8087	345	9	.	.	PROPN
bae-8087	345	10	,	,	PUNCT
bae-8087	345	11	jacobsen	jacobsen	PROPN
bae-8087	345	12	,	,	PUNCT
bae-8087	345	13	j.b	j.b	PROPN
bae-8087	345	14	.	.	PROPN
bae-8087	345	15	,	,	PUNCT
bae-8087	345	16	2018	2018	NUM
bae-8087	345	17	.	.	PUNCT
bae-8087	346	1	accounting	account	VERB
bae-8087	346	2	for	for	ADP
bae-8087	346	3	environmental	environmental	ADJ
bae-8087	346	4	attitude	attitude	NOUN
bae-8087	346	5	to	to	PART
bae-8087	346	6	explain	explain	VERB
bae-8087	346	7	variations	variation	NOUN
bae-8087	346	8	in	in	ADP
bae-8087	346	9	willingness	willingness	NOUN
bae-8087	346	10	to	to	PART
bae-8087	346	11	pay	pay	VERB
bae-8087	346	12	for	for	ADP
bae-8087	346	13	forest	forest	NOUN
bae-8087	346	14	ecosystem	ecosystem	NOUN
bae-8087	346	15	services	service	NOUN
bae-8087	346	16	using	use	VERB
bae-8087	346	17	the	the	DET
bae-8087	346	18	new	new	ADJ
bae-8087	346	19	environmental	environmental	ADJ
bae-8087	346	20	paradigm	paradigm	NOUN
bae-8087	346	21	.	.	PUNCT
bae-8087	347	1	journal	journal	NOUN
bae-8087	347	2	of	of	ADP
bae-8087	347	3	environmental	environmental	ADJ
bae-8087	347	4	economics	economic	NOUN
bae-8087	347	5	and	and	CCONJ
bae-8087	347	6	policy	policy	NOUN
bae-8087	347	7	7	7	NUM
bae-8087	347	8	,	,	PUNCT
bae-8087	347	9	420–440	420–440	NUM
bae-8087	347	10	.	.	PUNCT
bae-8087	348	1	https://doi.org/10.1080/21606544.2018.1467346	https://doi.org/10.1080/21606544.2018.1467346	PROPN
bae-8087	348	2	vij	vij	PROPN
bae-8087	348	3	,	,	PUNCT
bae-8087	348	4	a.	a.	PROPN
bae-8087	348	5	,	,	PUNCT
bae-8087	348	6	walker	walker	PROPN
bae-8087	348	7	,	,	PUNCT
bae-8087	348	8	j.l	j.l	PROPN
bae-8087	348	9	.	.	PROPN
bae-8087	348	10	,	,	PUNCT
bae-8087	348	11	2016	2016	NUM
bae-8087	348	12	.	.	PUNCT
bae-8087	349	1	how	how	SCONJ
bae-8087	349	2	,	,	PUNCT
bae-8087	349	3	when	when	SCONJ
bae-8087	349	4	and	and	CCONJ
bae-8087	349	5	why	why	SCONJ
bae-8087	349	6	integrated	integrated	ADJ
bae-8087	349	7	choice	choice	NOUN
bae-8087	349	8	and	and	CCONJ
bae-8087	349	9	latent	latent	NOUN
bae-8087	349	10	variable	variable	ADJ
bae-8087	349	11	models	model	NOUN
bae-8087	349	12	are	be	AUX
bae-8087	349	13	latently	latently	ADV
bae-8087	349	14	useful	useful	ADJ
bae-8087	349	15	.	.	PUNCT
bae-8087	350	1	transportation	transportation	NOUN
bae-8087	350	2	research	research	NOUN
bae-8087	350	3	part	part	NOUN
bae-8087	350	4	b	b	NOUN
bae-8087	350	5	:	:	PUNCT
bae-8087	350	6	methodological	methodological	ADJ
bae-8087	350	7	90	90	NUM
bae-8087	350	8	,	,	PUNCT
bae-8087	350	9	192–217	192–217	NUM
bae-8087	350	10	.	.	PUNCT
bae-8087	351	1	https://doi.org/10.1016/j.trb.2016.04.021	https://doi.org/10.1016/j.trb.2016.04.021	PROPN
bae-8087	351	2	yáñez	yáñez	PROPN
bae-8087	351	3	,	,	PUNCT
bae-8087	351	4	m.f	m.f	PROPN
bae-8087	351	5	.	.	PROPN
bae-8087	351	6	,	,	PUNCT
bae-8087	351	7	raveau	raveau	PROPN
bae-8087	351	8	,	,	PUNCT
bae-8087	351	9	s.	s.	PROPN
bae-8087	351	10	,	,	PUNCT
bae-8087	351	11	ortúzar	ortúzar	PROPN
bae-8087	351	12	,	,	PUNCT
bae-8087	351	13	j.	j.	PROPN
bae-8087	351	14	de	de	PROPN
bae-8087	351	15	d.	d.	PROPN
bae-8087	351	16	,	,	PUNCT
bae-8087	351	17	2010	2010	NUM
bae-8087	351	18	.	.	PUNCT
bae-8087	352	1	inclusion	inclusion	NOUN
bae-8087	352	2	of	of	ADP
bae-8087	352	3	latent	latent	NOUN
bae-8087	352	4	variables	variable	NOUN
bae-8087	352	5	in	in	ADP
bae-8087	352	6	mixed	mixed	ADJ
bae-8087	352	7	logit	logit	NOUN
bae-8087	352	8	models	model	NOUN
bae-8087	352	9	:	:	PUNCT
bae-8087	352	10	modelling	modelling	NOUN
bae-8087	352	11	and	and	CCONJ
bae-8087	352	12	forecasting	forecasting	NOUN
bae-8087	352	13	.	.	PUNCT
bae-8087	353	1	transportation	transportation	NOUN
bae-8087	353	2	research	research	NOUN
bae-8087	353	3	part	part	NOUN
bae-8087	353	4	a	a	DET
bae-8087	353	5	:	:	PUNCT
bae-8087	353	6	policy	policy	NOUN
bae-8087	353	7	and	and	CCONJ
bae-8087	353	8	practice	practice	NOUN
bae-8087	353	9	44	44	NUM
bae-8087	353	10	,	,	PUNCT
bae-8087	353	11	744–753	744–753	NUM
bae-8087	353	12	.	.	PUNCT
bae-8087	354	1	https://doi.org/10.1016/j.tra.2010.07.007	https://doi.org/10.1016/j.tra.2010.07.007	VERB
bae-8087	354	2	zawojska	zawojska	PROPN
bae-8087	354	3	,	,	PUNCT
bae-8087	354	4	e.	e.	PROPN
bae-8087	354	5	,	,	PUNCT
bae-8087	354	6	bartczak	bartczak	PROPN
bae-8087	354	7	,	,	PUNCT
bae-8087	354	8	a.	a.	NOUN
bae-8087	354	9	,	,	PUNCT
bae-8087	354	10	czajkowski	czajkowski	NOUN
bae-8087	354	11	,	,	PUNCT
bae-8087	354	12	m.	m.	NOUN
bae-8087	354	13	,	,	PUNCT
bae-8087	354	14	2019	2019	NUM
bae-8087	354	15	.	.	PUNCT
bae-8087	355	1	disentangling	disentangle	VERB
bae-8087	355	2	the	the	DET
bae-8087	355	3	effects	effect	NOUN
bae-8087	355	4	of	of	ADP
bae-8087	355	5	policy	policy	NOUN
bae-8087	355	6	and	and	CCONJ
bae-8087	355	7	payment	payment	NOUN
bae-8087	355	8	consequentiality	consequentiality	NOUN
bae-8087	355	9	and	and	CCONJ
bae-8087	355	10	risk	risk	NOUN
bae-8087	355	11	attitudes	attitude	NOUN
bae-8087	355	12	on	on	ADP
bae-8087	355	13	stated	state	VERB
bae-8087	355	14	preferences	preference	NOUN
bae-8087	355	15	.	.	PUNCT
bae-8087	356	1	journal	journal	PROPN
bae-8087	356	2	of	of	ADP
bae-8087	356	3	environmental	environmental	ADJ
bae-8087	356	4	economics	economic	NOUN
bae-8087	356	5	and	and	CCONJ
bae-8087	356	6	management	management	NOUN
bae-8087	356	7	93	93	NUM
bae-8087	356	8	,	,	PUNCT
bae-8087	356	9	63–84	63–84	NOUN
bae-8087	356	10	.	.	PUNCT
bae-8087	357	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
bae-8087	357	2	.	.	PUNCT
bae-8087	358	1	jeem.2018.11.007	jeem.2018.11.007	VERB
bae-8087	358	2	investigating	investigate	VERB
bae-8087	358	3	determinants	determinant	NOUN
bae-8087	358	4	of	of	ADP
bae-8087	358	5	choice	choice	NOUN
bae-8087	358	6	and	and	CCONJ
bae-8087	358	7	predicting	predict	VERB
bae-8087	358	8	market	market	NOUN
bae-8087	358	9	shares	share	NOUN
bae-8087	358	10	of	of	ADP
bae-8087	358	11	renewable	renewable	ADJ
bae-8087	358	12	-	-	PUNCT
bae-8087	358	13	based	base	VERB
bae-8087	358	14	heating	heating	NOUN
bae-8087	358	15	systems	system	NOUN
bae-8087	358	16	under	under	ADP
bae-8087	358	17	alternative	alternative	ADJ
bae-8087	358	18	policy	policy	NOUN
bae-8087	358	19	scenarios	scenario	NOUN
bae-8087	358	20	cristiano	cristiano	NOUN
bae-8087	358	21	franceschinis	franceschinis	PROPN
bae-8087	358	22	,	,	PUNCT
bae-8087	358	23	mara	mara	PROPN
bae-8087	358	24	thiene	thiene	PROPN
bae-8087	358	25	multi	multi	PROPN
bae-8087	358	26	-	-	ADJ
bae-8087	358	27	country	country	NOUN
bae-8087	358	28	stated	state	VERB
bae-8087	358	29	preferences	preference	NOUN
bae-8087	358	30	choice	choice	VERB
bae-8087	358	31	analysis	analysis	NOUN
bae-8087	358	32	for	for	ADP
bae-8087	358	33	fresh	fresh	ADJ
bae-8087	358	34	tomatoes	tomato	NOUN
bae-8087	358	35	maria	maria	PROPN
bae-8087	358	36	de	de	X
bae-8087	358	37	salvo1	salvo1	PROPN
bae-8087	358	38	,	,	PUNCT
bae-8087	358	39	*	*	PUNCT
bae-8087	358	40	,	,	PUNCT
bae-8087	358	41	riccardo	riccardo	PROPN
bae-8087	358	42	scarpa2,3,4	scarpa2,3,4	ADJ
bae-8087	358	43	,	,	PUNCT
bae-8087	358	44	roberta	roberta	PROPN
bae-8087	358	45	capitello2	capitello2	PROPN
bae-8087	358	46	,	,	PUNCT
bae-8087	358	47	diego	diego	PROPN
bae-8087	358	48	begalli2	begalli2	PROPN
bae-8087	358	49	“	"	PUNCT
bae-8087	358	50	not	not	PART
bae-8087	358	51	my	my	PRON
bae-8087	358	52	cup	cup	NOUN
bae-8087	358	53	of	of	ADP
bae-8087	358	54	coffee	coffee	NOUN
bae-8087	358	55	”	"	PUNCT
bae-8087	358	56	.	.	PUNCT
bae-8087	359	1	farmers	farmer	NOUN
bae-8087	359	2	’	'	PUNCT
bae-8087	359	3	preferences	preference	NOUN
bae-8087	359	4	for	for	ADP
bae-8087	359	5	coffee	coffee	NOUN
bae-8087	359	6	variety	variety	NOUN
bae-8087	359	7	traits	trait	NOUN
bae-8087	359	8	.	.	PUNCT
bae-8087	360	1	lessons	lesson	NOUN
bae-8087	360	2	for	for	ADP
bae-8087	360	3	crop	crop	NOUN
bae-8087	360	4	breeding	breeding	NOUN
bae-8087	360	5	in	in	ADP
bae-8087	360	6	the	the	DET
bae-8087	360	7	age	age	NOUN
bae-8087	360	8	of	of	ADP
bae-8087	360	9	climate	climate	NOUN
bae-8087	360	10	change	change	NOUN
bae-8087	360	11	abrha	abrha	PROPN
bae-8087	360	12	megos	megos	PROPN
bae-8087	360	13	meressa	meressa	NOUN
bae-8087	360	14	,	,	PUNCT
bae-8087	360	15	ståle	ståle	ADJ
bae-8087	360	16	navrud	navrud	NOUN
bae-8087	360	17	*	*	PUNCT
bae-8087	360	18	does	do	AUX
bae-8087	360	19	the	the	DET
bae-8087	360	20	place	place	NOUN
bae-8087	360	21	of	of	ADP
bae-8087	360	22	residence	residence	NOUN
bae-8087	360	23	affect	affect	VERB
bae-8087	360	24	land	land	NOUN
bae-8087	360	25	use	use	NOUN
bae-8087	360	26	preferences	preference	NOUN
bae-8087	360	27	?	?	PUNCT
bae-8087	361	1	evidence	evidence	NOUN
bae-8087	361	2	from	from	ADP
bae-8087	361	3	a	a	DET
bae-8087	361	4	choice	choice	NOUN
bae-8087	361	5	experiment	experiment	NOUN
bae-8087	361	6	in	in	ADP
bae-8087	361	7	germany	germany	PROPN
bae-8087	361	8	julian	julian	PROPN
bae-8087	361	9	sagebiel1	sagebiel1	PROPN
bae-8087	361	10	,	,	PUNCT
bae-8087	361	11	*	*	PROPN
bae-8087	361	12	,	,	PUNCT
bae-8087	361	13	klaus	klaus	PROPN
bae-8087	361	14	glenk2	glenk2	PROPN
bae-8087	361	15	,	,	PUNCT
bae-8087	361	16	jürgen	jürgen	PROPN
bae-8087	361	17	meyerhoff3	meyerhoff3	PROPN
bae-8087	361	18	the	the	DET
bae-8087	361	19	use	use	NOUN
bae-8087	361	20	of	of	ADP
bae-8087	361	21	latent	latent	ADJ
bae-8087	361	22	variable	variable	ADJ
bae-8087	361	23	models	model	NOUN
bae-8087	361	24	in	in	ADP
bae-8087	361	25	policy	policy	NOUN
bae-8087	361	26	:	:	PUNCT
bae-8087	361	27	a	a	DET
bae-8087	361	28	road	road	NOUN
bae-8087	361	29	fraught	fraught	ADJ
bae-8087	361	30	with	with	ADP
bae-8087	361	31	peril	peril	NOUN
bae-8087	361	32	?	?	PUNCT
bae-8087	362	1	danny	danny	PROPN
bae-8087	362	2	campbell	campbell	PROPN
bae-8087	362	3	*	*	PROPN
bae-8087	362	4	,	,	PUNCT
bae-8087	362	5	erlend	erlend	VERB
bae-8087	362	6	dancke	dancke	PROPN
bae-8087	362	7	sandorf	sandorf	PROPN