id	sid	tid	token	lemma	pos
dem-4200	1	1	microsoft	microsoft	PROPN
dem-4200	1	2	word	word	NOUN
dem-4200	1	3	00_tresc.docx	00_tresc.docx	PRON
dem-4200	1	4	dynamic	dynamic	ADJ
dem-4200	1	5	econometric	econometric	ADJ
dem-4200	1	6	models	model	NOUN
dem-4200	1	7	vol	vol	NOUN
dem-4200	1	8	.	.	PROPN
dem-4200	1	9	9	9	NUM
dem-4200	1	10	–	–	PUNCT
dem-4200	1	11	nicolaus	nicolaus	PROPN
dem-4200	1	12	copernicus	copernicus	PROPN
dem-4200	1	13	university	university	PROPN
dem-4200	1	14	–	–	PUNCT
dem-4200	1	15	toruń	toruń	NOUN
dem-4200	1	16	–	–	PUNCT
dem-4200	1	17	2009	2009	NUM
dem-4200	1	18	mariola	mariola	PROPN
dem-4200	1	19	piłatowska	piłatowska	PROPN
dem-4200	1	20	nicolaus	nicolaus	PROPN
dem-4200	1	21	copernicus	copernicus	PROPN
dem-4200	1	22	university	university	PROPN
dem-4200	1	23	in	in	ADP
dem-4200	1	24	toruń	toruń	NOUN
dem-4200	1	25	combined	combine	VERB
dem-4200	1	26	forecasts	forecast	NOUN
dem-4200	1	27	using	use	VERB
dem-4200	1	28	the	the	DET
dem-4200	1	29	akaike	akaike	ADJ
dem-4200	1	30	weights	weight	NOUN
dem-4200	1	31	a	a	DET
dem-4200	1	32	b	b	PROPN
dem-4200	1	33	s	s	ADP
dem-4200	1	34	t	t	PROPN
dem-4200	1	35	r	r	NOUN
dem-4200	1	36	a	a	DET
dem-4200	1	37	c	c	NOUN
dem-4200	1	38	t.	t.	NOUN
dem-4200	1	39	the	the	DET
dem-4200	1	40	focus	focus	NOUN
dem-4200	1	41	in	in	ADP
dem-4200	1	42	the	the	DET
dem-4200	1	43	paper	paper	NOUN
dem-4200	1	44	is	be	AUX
dem-4200	1	45	on	on	ADP
dem-4200	1	46	the	the	DET
dem-4200	1	47	information	information	NOUN
dem-4200	1	48	criteria	criterion	NOUN
dem-4200	1	49	approach	approach	NOUN
dem-4200	1	50	and	and	CCONJ
dem-4200	1	51	especially	especially	ADV
dem-4200	1	52	the	the	DET
dem-4200	1	53	akaike	akaike	ADJ
dem-4200	1	54	information	information	NOUN
dem-4200	1	55	criterion	criterion	NOUN
dem-4200	1	56	which	which	PRON
dem-4200	1	57	is	be	AUX
dem-4200	1	58	used	use	VERB
dem-4200	1	59	to	to	PART
dem-4200	1	60	obtain	obtain	VERB
dem-4200	1	61	the	the	DET
dem-4200	1	62	akaike	akaike	ADJ
dem-4200	1	63	weights	weight	NOUN
dem-4200	1	64	.	.	PUNCT
dem-4200	2	1	this	this	DET
dem-4200	2	2	approach	approach	NOUN
dem-4200	2	3	enables	enable	VERB
dem-4200	2	4	to	to	PART
dem-4200	2	5	receive	receive	VERB
dem-4200	2	6	not	not	PART
dem-4200	2	7	one	one	NUM
dem-4200	2	8	best	good	ADJ
dem-4200	2	9	model	model	NOUN
dem-4200	2	10	,	,	PUNCT
dem-4200	2	11	but	but	CCONJ
dem-4200	2	12	several	several	ADJ
dem-4200	2	13	plausible	plausible	ADJ
dem-4200	2	14	models	model	NOUN
dem-4200	2	15	for	for	ADP
dem-4200	2	16	which	which	PRON
dem-4200	2	17	the	the	DET
dem-4200	2	18	ranking	ranking	NOUN
dem-4200	2	19	can	can	AUX
dem-4200	2	20	be	be	AUX
dem-4200	2	21	built	build	VERB
dem-4200	2	22	using	use	VERB
dem-4200	2	23	the	the	DET
dem-4200	2	24	akaike	akaike	ADJ
dem-4200	2	25	weights	weight	NOUN
dem-4200	2	26	.	.	PUNCT
dem-4200	3	1	this	this	DET
dem-4200	3	2	set	set	NOUN
dem-4200	3	3	of	of	ADP
dem-4200	3	4	candidate	candidate	NOUN
dem-4200	3	5	models	model	NOUN
dem-4200	3	6	is	be	AUX
dem-4200	3	7	the	the	DET
dem-4200	3	8	basis	basis	NOUN
dem-4200	3	9	of	of	ADP
dem-4200	3	10	calculating	calculate	VERB
dem-4200	3	11	individual	individual	ADJ
dem-4200	3	12	forecasts	forecast	NOUN
dem-4200	3	13	,	,	PUNCT
dem-4200	3	14	and	and	CCONJ
dem-4200	3	15	then	then	ADV
dem-4200	3	16	for	for	ADP
dem-4200	3	17	combining	combine	VERB
dem-4200	3	18	forecasts	forecast	NOUN
dem-4200	3	19	using	use	VERB
dem-4200	3	20	the	the	DET
dem-4200	3	21	akaike	akaike	ADJ
dem-4200	3	22	weights	weight	NOUN
dem-4200	3	23	.	.	PUNCT
dem-4200	4	1	the	the	DET
dem-4200	4	2	procedure	procedure	NOUN
dem-4200	4	3	of	of	ADP
dem-4200	4	4	obtaining	obtain	VERB
dem-4200	4	5	the	the	DET
dem-4200	4	6	combined	combine	VERB
dem-4200	4	7	forecasts	forecast	NOUN
dem-4200	4	8	using	use	VERB
dem-4200	4	9	the	the	DET
dem-4200	4	10	aic	aic	PROPN
dem-4200	4	11	weights	weight	NOUN
dem-4200	4	12	is	be	AUX
dem-4200	4	13	proposed	propose	VERB
dem-4200	4	14	.	.	PUNCT
dem-4200	5	1	the	the	DET
dem-4200	5	2	performance	performance	NOUN
dem-4200	5	3	of	of	ADP
dem-4200	5	4	combining	combine	VERB
dem-4200	5	5	forecasts	forecast	NOUN
dem-4200	5	6	with	with	ADP
dem-4200	5	7	the	the	DET
dem-4200	5	8	aic	aic	PROPN
dem-4200	5	9	weights	weight	NOUN
dem-4200	5	10	and	and	CCONJ
dem-4200	5	11	equal	equal	ADJ
dem-4200	5	12	weights	weight	NOUN
dem-4200	5	13	with	with	ADP
dem-4200	5	14	regard	regard	NOUN
dem-4200	5	15	to	to	ADP
dem-4200	5	16	individual	individual	ADJ
dem-4200	5	17	forecasts	forecast	NOUN
dem-4200	5	18	obtained	obtain	VERB
dem-4200	5	19	from	from	ADP
dem-4200	5	20	models	model	NOUN
dem-4200	5	21	selected	select	VERB
dem-4200	5	22	by	by	ADP
dem-4200	5	23	the	the	DET
dem-4200	5	24	aic	aic	PROPN
dem-4200	5	25	criterion	criterion	NOUN
dem-4200	5	26	and	and	CCONJ
dem-4200	5	27	the	the	DET
dem-4200	5	28	a	a	DET
dem-4200	5	29	posteriori	posteriori	NOUN
dem-4200	5	30	selection	selection	NOUN
dem-4200	5	31	method	method	NOUN
dem-4200	5	32	is	be	AUX
dem-4200	5	33	compared	compare	VERB
dem-4200	5	34	in	in	ADP
dem-4200	5	35	simulation	simulation	NOUN
dem-4200	5	36	experiment	experiment	NOUN
dem-4200	5	37	.	.	PUNCT
dem-4200	6	1	the	the	DET
dem-4200	6	2	conditions	condition	NOUN
dem-4200	6	3	when	when	SCONJ
dem-4200	6	4	the	the	DET
dem-4200	6	5	akaike	akaike	ADJ
dem-4200	6	6	weights	weight	NOUN
dem-4200	6	7	are	be	AUX
dem-4200	6	8	worth	worth	ADJ
dem-4200	6	9	to	to	PART
dem-4200	6	10	use	use	VERB
dem-4200	6	11	in	in	ADP
dem-4200	6	12	combining	combine	VERB
dem-4200	6	13	forecasts	forecast	NOUN
dem-4200	6	14	were	be	AUX
dem-4200	6	15	indicated	indicate	VERB
dem-4200	6	16	.	.	PUNCT
dem-4200	7	1	the	the	DET
dem-4200	7	2	use	use	NOUN
dem-4200	7	3	of	of	ADP
dem-4200	7	4	the	the	DET
dem-4200	7	5	information	information	NOUN
dem-4200	7	6	criteria	criterion	NOUN
dem-4200	7	7	approach	approach	VERB
dem-4200	7	8	to	to	PART
dem-4200	7	9	obtain	obtain	VERB
dem-4200	7	10	combined	combined	ADJ
dem-4200	7	11	forecasts	forecast	NOUN
dem-4200	7	12	as	as	SCONJ
dem-4200	7	13	an	an	DET
dem-4200	7	14	alternative	alternative	NOUN
dem-4200	7	15	to	to	ADP
dem-4200	7	16	formal	formal	ADJ
dem-4200	7	17	hypothesis	hypothesis	NOUN
dem-4200	7	18	testing	testing	NOUN
dem-4200	7	19	was	be	AUX
dem-4200	7	20	recommended	recommend	VERB
dem-4200	7	21	.	.	PUNCT
dem-4200	8	1	k	k	PROPN
dem-4200	8	2	e	e	PROPN
dem-4200	8	3	y	y	PROPN
dem-4200	8	4	w	w	NOUN
dem-4200	8	5	o	o	NOUN
dem-4200	8	6	r	r	NOUN
dem-4200	8	7	d	d	NOUN
dem-4200	8	8	s	s	X
dem-4200	8	9	:	:	PUNCT
dem-4200	8	10	combining	combine	VERB
dem-4200	8	11	forecasts	forecast	NOUN
dem-4200	8	12	,	,	PUNCT
dem-4200	8	13	weighting	weight	VERB
dem-4200	8	14	schemes	scheme	NOUN
dem-4200	8	15	,	,	PUNCT
dem-4200	8	16	information	information	NOUN
dem-4200	8	17	criteria	criterion	NOUN
dem-4200	8	18	.	.	PUNCT
dem-4200	9	1	1	1	X
dem-4200	9	2	.	.	X
dem-4200	9	3	introduction	introduction	NOUN
dem-4200	9	4	the	the	DET
dem-4200	9	5	development	development	NOUN
dem-4200	9	6	of	of	ADP
dem-4200	9	7	time	time	NOUN
dem-4200	9	8	series	series	NOUN
dem-4200	9	9	analysis	analysis	NOUN
dem-4200	9	10	and	and	CCONJ
dem-4200	9	11	computing	compute	VERB
dem-4200	9	12	power	power	NOUN
dem-4200	9	13	of	of	ADP
dem-4200	9	14	computers	computer	NOUN
dem-4200	9	15	made	make	VERB
dem-4200	9	16	that	that	SCONJ
dem-4200	9	17	many	many	ADJ
dem-4200	9	18	different	different	ADJ
dem-4200	9	19	forecasts	forecast	NOUN
dem-4200	9	20	can	can	AUX
dem-4200	9	21	be	be	AUX
dem-4200	9	22	obtained	obtain	VERB
dem-4200	9	23	when	when	SCONJ
dem-4200	9	24	forecasting	forecast	VERB
dem-4200	9	25	the	the	DET
dem-4200	9	26	same	same	ADJ
dem-4200	9	27	economic	economic	ADJ
dem-4200	9	28	variable	variable	NOUN
dem-4200	9	29	with	with	ADP
dem-4200	9	30	different	different	ADJ
dem-4200	9	31	methods	method	NOUN
dem-4200	9	32	.	.	PUNCT
dem-4200	10	1	many	many	ADJ
dem-4200	10	2	selection	selection	NOUN
dem-4200	10	3	criteria	criterion	NOUN
dem-4200	10	4	based	base	VERB
dem-4200	10	5	on	on	ADP
dem-4200	10	6	the	the	DET
dem-4200	10	7	performance	performance	NOUN
dem-4200	10	8	of	of	ADP
dem-4200	10	9	ex	ex	ADJ
dem-4200	10	10	post	post	NOUN
dem-4200	10	11	forecasts	forecast	NOUN
dem-4200	10	12	are	be	AUX
dem-4200	10	13	used	use	VERB
dem-4200	10	14	to	to	PART
dem-4200	10	15	choose	choose	VERB
dem-4200	10	16	the	the	DET
dem-4200	10	17	best	good	ADJ
dem-4200	10	18	forecast	forecast	NOUN
dem-4200	10	19	(	(	PUNCT
dem-4200	10	20	armstrong	armstrong	PROPN
dem-4200	10	21	,	,	PUNCT
dem-4200	10	22	2001	2001	NUM
dem-4200	10	23	)	)	PUNCT
dem-4200	10	24	.	.	PUNCT
dem-4200	11	1	combining	combine	VERB
dem-4200	11	2	forecasts	forecast	NOUN
dem-4200	11	3	can	can	AUX
dem-4200	11	4	be	be	AUX
dem-4200	11	5	treated	treat	VERB
dem-4200	11	6	as	as	ADP
dem-4200	11	7	an	an	DET
dem-4200	11	8	alternative	alternative	ADJ
dem-4200	11	9	approach	approach	NOUN
dem-4200	11	10	to	to	ADP
dem-4200	11	11	the	the	DET
dem-4200	11	12	selection	selection	NOUN
dem-4200	11	13	of	of	ADP
dem-4200	11	14	the	the	DET
dem-4200	11	15	best	good	ADJ
dem-4200	11	16	individual	individual	ADJ
dem-4200	11	17	forecast	forecast	NOUN
dem-4200	11	18	.	.	PUNCT
dem-4200	12	1	since	since	SCONJ
dem-4200	12	2	the	the	DET
dem-4200	12	3	seminal	seminal	ADJ
dem-4200	12	4	paper	paper	NOUN
dem-4200	12	5	of	of	ADP
dem-4200	12	6	bates	bate	NOUN
dem-4200	12	7	and	and	CCONJ
dem-4200	12	8	granger	granger	PROPN
dem-4200	12	9	(	(	PUNCT
dem-4200	12	10	1969	1969	NUM
dem-4200	12	11	)	)	PUNCT
dem-4200	12	12	has	have	AUX
dem-4200	12	13	been	be	AUX
dem-4200	12	14	known	know	VERB
dem-4200	12	15	that	that	SCONJ
dem-4200	12	16	combining	combine	VERB
dem-4200	12	17	forecasts	forecast	NOUN
dem-4200	12	18	can	can	AUX
dem-4200	12	19	produce	produce	VERB
dem-4200	12	20	a	a	DET
dem-4200	12	21	forecast	forecast	NOUN
dem-4200	12	22	superior	superior	ADJ
dem-4200	12	23	to	to	ADP
dem-4200	12	24	any	any	DET
dem-4200	12	25	element	element	NOUN
dem-4200	12	26	in	in	ADP
dem-4200	12	27	the	the	DET
dem-4200	12	28	combined	combine	VERB
dem-4200	12	29	set1	set1	PROPN
dem-4200	12	30	.	.	PUNCT
dem-4200	13	1	hence	hence	ADV
dem-4200	13	2	,	,	PUNCT
dem-4200	13	3	instead	instead	ADV
dem-4200	13	4	of	of	ADP
dem-4200	13	5	seeking	seek	VERB
dem-4200	13	6	the	the	DET
dem-4200	13	7	best	good	ADJ
dem-4200	13	8	forecasting	forecasting	NOUN
dem-4200	13	9	model	model	NOUN
dem-4200	13	10	the	the	DET
dem-4200	13	11	combined	combine	VERB
dem-4200	13	12	forecasts	forecast	NOUN
dem-4200	13	13	based	base	VERB
dem-4200	13	14	on	on	ADP
dem-4200	13	15	competing	compete	VERB
dem-4200	13	16	models	model	NOUN
dem-4200	13	17	are	be	AUX
dem-4200	13	18	received	receive	VERB
dem-4200	13	19	.	.	PUNCT
dem-4200	14	1	moreover	moreover	ADV
dem-4200	14	2	,	,	PUNCT
dem-4200	14	3	the	the	DET
dem-4200	14	4	reason	reason	NOUN
dem-4200	14	5	for	for	ADP
dem-4200	14	6	combining	combine	VERB
dem-4200	14	7	forecasts	forecast	NOUN
dem-4200	14	8	(	(	PUNCT
dem-4200	14	9	or	or	CCONJ
dem-4200	14	10	model	model	NOUN
dem-4200	14	11	averaging	averaging	NOUN
dem-4200	14	12	)	)	PUNCT
dem-4200	14	13	is	be	AUX
dem-4200	14	14	that	that	SCONJ
dem-4200	14	15	the	the	DET
dem-4200	14	16	data	data	NOUN
dem-4200	14	17	generating	generating	NOUN
dem-4200	14	18	model	model	NOUN
dem-4200	14	19	(	(	PUNCT
dem-4200	14	20	true	true	ADJ
dem-4200	14	21	model	model	NOUN
dem-4200	14	22	)	)	PUNCT
dem-4200	14	23	is	be	AUX
dem-4200	14	24	unknown	unknown	ADJ
dem-4200	14	25	.	.	PUNCT
dem-4200	15	1	therefore	therefore	ADV
dem-4200	15	2	each	each	DET
dem-4200	15	3	model	model	NOUN
dem-4200	15	4	1	1	NUM
dem-4200	15	5	the	the	DET
dem-4200	15	6	paper	paper	NOUN
dem-4200	15	7	of	of	ADP
dem-4200	15	8	bates	bate	NOUN
dem-4200	15	9	and	and	CCONJ
dem-4200	15	10	granger	granger	PROPN
dem-4200	15	11	(	(	PUNCT
dem-4200	15	12	1969	1969	NUM
dem-4200	15	13	)	)	PUNCT
dem-4200	15	14	caused	cause	VERB
dem-4200	15	15	the	the	DET
dem-4200	15	16	development	development	NOUN
dem-4200	15	17	of	of	ADP
dem-4200	15	18	research	research	NOUN
dem-4200	15	19	on	on	ADP
dem-4200	15	20	combining	combine	VERB
dem-4200	15	21	forecasts	forecast	NOUN
dem-4200	15	22	(	(	PUNCT
dem-4200	15	23	for	for	ADP
dem-4200	15	24	overview	overview	NOUN
dem-4200	15	25	see	see	NOUN
dem-4200	15	26	timmermann	timmermann	NOUN
dem-4200	15	27	,	,	PUNCT
dem-4200	15	28	2006	2006	NUM
dem-4200	15	29	)	)	PUNCT
dem-4200	15	30	.	.	PUNCT
dem-4200	16	1	mariola	mariola	PROPN
dem-4200	16	2	piłatowska	piłatowska	PROPN
dem-4200	16	3	6	6	NUM
dem-4200	16	4	should	should	AUX
dem-4200	16	5	be	be	AUX
dem-4200	16	6	treated	treat	VERB
dem-4200	16	7	as	as	ADP
dem-4200	16	8	an	an	DET
dem-4200	16	9	approximation	approximation	NOUN
dem-4200	16	10	of	of	ADP
dem-4200	16	11	unknown	unknown	ADJ
dem-4200	16	12	data	datum	NOUN
dem-4200	16	13	generating	generating	NOUN
dem-4200	16	14	model	model	NOUN
dem-4200	16	15	.	.	PUNCT
dem-4200	17	1	these	these	DET
dem-4200	17	2	models	model	NOUN
dem-4200	17	3	may	may	AUX
dem-4200	17	4	be	be	AUX
dem-4200	17	5	incomplete	incomplete	ADJ
dem-4200	17	6	(	(	PUNCT
dem-4200	17	7	or	or	CCONJ
dem-4200	17	8	incorrectly	incorrectly	ADV
dem-4200	17	9	specified	specify	VERB
dem-4200	17	10	)	)	PUNCT
dem-4200	17	11	in	in	ADP
dem-4200	17	12	different	different	ADJ
dem-4200	17	13	ways	way	NOUN
dem-4200	17	14	;	;	PUNCT
dem-4200	17	15	forecast	forecast	NOUN
dem-4200	17	16	based	base	VERB
dem-4200	17	17	on	on	ADP
dem-4200	17	18	them	they	PRON
dem-4200	17	19	might	might	AUX
dem-4200	17	20	be	be	AUX
dem-4200	17	21	biased	bias	VERB
dem-4200	17	22	.	.	PUNCT
dem-4200	18	1	even	even	ADV
dem-4200	18	2	if	if	SCONJ
dem-4200	18	3	forecasts	forecast	NOUN
dem-4200	18	4	are	be	AUX
dem-4200	18	5	unbiased	unbiased	ADJ
dem-4200	18	6	,	,	PUNCT
dem-4200	18	7	there	there	PRON
dem-4200	18	8	will	will	AUX
dem-4200	18	9	be	be	AUX
dem-4200	18	10	covariances	covariance	NOUN
dem-4200	18	11	between	between	ADP
dem-4200	18	12	forecasts	forecast	NOUN
dem-4200	18	13	which	which	PRON
dem-4200	18	14	should	should	AUX
dem-4200	18	15	be	be	AUX
dem-4200	18	16	taken	take	VERB
dem-4200	18	17	into	into	ADP
dem-4200	18	18	account	account	NOUN
dem-4200	18	19	.	.	PUNCT
dem-4200	19	1	then	then	ADV
dem-4200	19	2	,	,	PUNCT
dem-4200	19	3	combining	combine	VERB
dem-4200	19	4	forecasts	forecast	NOUN
dem-4200	19	5	produced	produce	VERB
dem-4200	19	6	by	by	ADP
dem-4200	19	7	misspecified	misspecified	ADJ
dem-4200	19	8	models	model	NOUN
dem-4200	19	9	may	may	AUX
dem-4200	19	10	improve	improve	VERB
dem-4200	19	11	the	the	DET
dem-4200	19	12	forecast	forecast	NOUN
dem-4200	19	13	in	in	ADP
dem-4200	19	14	comparison	comparison	NOUN
dem-4200	19	15	to	to	ADP
dem-4200	19	16	any	any	DET
dem-4200	19	17	individual	individual	ADJ
dem-4200	19	18	forecast	forecast	NOUN
dem-4200	19	19	obtained	obtain	VERB
dem-4200	19	20	from	from	ADP
dem-4200	19	21	the	the	DET
dem-4200	19	22	underlying	underlie	VERB
dem-4200	19	23	models	model	NOUN
dem-4200	19	24	.	.	PUNCT
dem-4200	20	1	as	as	ADP
dem-4200	20	2	a	a	DET
dem-4200	20	3	consequence	consequence	NOUN
dem-4200	20	4	,	,	PUNCT
dem-4200	20	5	the	the	DET
dem-4200	20	6	problem	problem	NOUN
dem-4200	20	7	of	of	ADP
dem-4200	20	8	selecting	select	VERB
dem-4200	20	9	the	the	DET
dem-4200	20	10	individual	individual	ADJ
dem-4200	20	11	forecasts	forecast	NOUN
dem-4200	20	12	over	over	ADP
dem-4200	20	13	the	the	DET
dem-4200	20	14	set	set	NOUN
dem-4200	20	15	of	of	ADP
dem-4200	20	16	available	available	ADJ
dem-4200	20	17	forecasts	forecast	NOUN
dem-4200	20	18	and	and	CCONJ
dem-4200	20	19	the	the	DET
dem-4200	20	20	weighting	weighting	NOUN
dem-4200	20	21	schemes	scheme	NOUN
dem-4200	20	22	is	be	AUX
dem-4200	20	23	occurred	occur	VERB
dem-4200	20	24	.	.	PUNCT
dem-4200	21	1	especially	especially	ADV
dem-4200	21	2	,	,	PUNCT
dem-4200	21	3	the	the	DET
dem-4200	21	4	selection	selection	NOUN
dem-4200	21	5	of	of	ADP
dem-4200	21	6	weighting	weight	VERB
dem-4200	21	7	scheme	scheme	NOUN
dem-4200	21	8	is	be	AUX
dem-4200	21	9	important	important	ADJ
dem-4200	21	10	.	.	PUNCT
dem-4200	22	1	most	most	ADV
dem-4200	22	2	frequently	frequently	ADV
dem-4200	22	3	the	the	DET
dem-4200	22	4	following	follow	VERB
dem-4200	22	5	weighting	weight	VERB
dem-4200	22	6	schemes	scheme	NOUN
dem-4200	22	7	can	can	AUX
dem-4200	22	8	be	be	AUX
dem-4200	22	9	distinguished	distinguish	VERB
dem-4200	22	10	:	:	PUNCT
dem-4200	22	11	equal	equal	ADJ
dem-4200	22	12	weights	weight	NOUN
dem-4200	22	13	(	(	PUNCT
dem-4200	22	14	stock	stock	NOUN
dem-4200	22	15	,	,	PUNCT
dem-4200	22	16	watson	watson	PROPN
dem-4200	22	17	,	,	PUNCT
dem-4200	22	18	2004	2004	NUM
dem-4200	22	19	,	,	PUNCT
dem-4200	22	20	2006	2006	NUM
dem-4200	22	21	;	;	PUNCT
dem-4200	22	22	marcellino	marcellino	NOUN
dem-4200	22	23	,	,	PUNCT
dem-4200	22	24	2004	2004	NUM
dem-4200	22	25	)	)	PUNCT
dem-4200	22	26	,	,	PUNCT
dem-4200	22	27	akaike	akaike	ADP
dem-4200	22	28	weights	weight	NOUN
dem-4200	22	29	(	(	PUNCT
dem-4200	22	30	atkinson	atkinson	PROPN
dem-4200	22	31	,	,	PUNCT
dem-4200	22	32	1980	1980	NUM
dem-4200	22	33	;	;	PUNCT
dem-4200	22	34	swanson	swanson	PROPN
dem-4200	22	35	,	,	PUNCT
dem-4200	22	36	zeng	zeng	PROPN
dem-4200	22	37	,	,	PUNCT
dem-4200	22	38	2001	2001	NUM
dem-4200	22	39	;	;	PUNCT
dem-4200	22	40	kapetanios	kapetanio	NOUN
dem-4200	22	41	et	et	PROPN
dem-4200	22	42	al	al	PROPN
dem-4200	22	43	.	.	PROPN
dem-4200	22	44	,	,	PUNCT
dem-4200	22	45	2008	2008	NUM
dem-4200	22	46	)	)	PUNCT
dem-4200	22	47	,	,	PUNCT
dem-4200	22	48	optimized	optimize	VERB
dem-4200	22	49	and	and	CCONJ
dem-4200	22	50	constrained	constrain	VERB
dem-4200	22	51	weights	weight	NOUN
dem-4200	22	52	(	(	PUNCT
dem-4200	22	53	jagammathan	jagammathan	PROPN
dem-4200	22	54	,	,	PUNCT
dem-4200	22	55	ma	ma	PROPN
dem-4200	22	56	,	,	PUNCT
dem-4200	22	57	2003	2003	NUM
dem-4200	22	58	)	)	PUNCT
dem-4200	22	59	,	,	PUNCT
dem-4200	22	60	bayesian	bayesian	NOUN
dem-4200	22	61	weights	weight	NOUN
dem-4200	22	62	(	(	PUNCT
dem-4200	22	63	min	min	NOUN
dem-4200	22	64	,	,	PUNCT
dem-4200	22	65	zellner	zellner	NOUN
dem-4200	22	66	,	,	PUNCT
dem-4200	22	67	1993	1993	NUM
dem-4200	22	68	;	;	PUNCT
dem-4200	22	69	diebold	diebold	PROPN
dem-4200	22	70	,	,	PUNCT
dem-4200	22	71	pauly	pauly	PROPN
dem-4200	22	72	,	,	PUNCT
dem-4200	22	73	1980	1980	NUM
dem-4200	22	74	;	;	PUNCT
dem-4200	22	75	wright	wright	PROPN
dem-4200	22	76	,	,	PUNCT
dem-4200	22	77	2003	2003	NUM
dem-4200	22	78	)	)	PUNCT
dem-4200	22	79	.	.	PUNCT
dem-4200	23	1	in	in	ADP
dem-4200	23	2	the	the	DET
dem-4200	23	3	paper	paper	NOUN
dem-4200	23	4	the	the	DET
dem-4200	23	5	focus	focus	NOUN
dem-4200	23	6	is	be	AUX
dem-4200	23	7	on	on	ADP
dem-4200	23	8	the	the	DET
dem-4200	23	9	information	information	NOUN
dem-4200	23	10	criteria	criterion	NOUN
dem-4200	23	11	approach	approach	NOUN
dem-4200	23	12	,	,	PUNCT
dem-4200	23	13	especially	especially	ADV
dem-4200	23	14	the	the	DET
dem-4200	23	15	akaike	akaike	ADJ
dem-4200	23	16	information	information	NOUN
dem-4200	23	17	criterion	criterion	NOUN
dem-4200	23	18	which	which	PRON
dem-4200	23	19	is	be	AUX
dem-4200	23	20	used	use	VERB
dem-4200	23	21	to	to	PART
dem-4200	23	22	produce	produce	VERB
dem-4200	23	23	the	the	DET
dem-4200	23	24	akaike	akaike	ADJ
dem-4200	23	25	weights	weight	NOUN
dem-4200	23	26	.	.	PUNCT
dem-4200	24	1	this	this	DET
dem-4200	24	2	approach	approach	NOUN
dem-4200	24	3	enables	enable	VERB
dem-4200	24	4	to	to	PART
dem-4200	24	5	obtain	obtain	VERB
dem-4200	24	6	not	not	PART
dem-4200	24	7	only	only	ADV
dem-4200	24	8	one	one	NUM
dem-4200	24	9	,	,	PUNCT
dem-4200	24	10	but	but	CCONJ
dem-4200	24	11	several	several	ADJ
dem-4200	24	12	plausible	plausible	ADJ
dem-4200	24	13	models	model	NOUN
dem-4200	24	14	for	for	ADP
dem-4200	24	15	which	which	PRON
dem-4200	24	16	the	the	DET
dem-4200	24	17	ranking	ranking	NOUN
dem-4200	24	18	can	can	AUX
dem-4200	24	19	be	be	AUX
dem-4200	24	20	built	build	VERB
dem-4200	24	21	using	use	VERB
dem-4200	24	22	the	the	DET
dem-4200	24	23	akaike	akaike	ADJ
dem-4200	24	24	weights	weight	NOUN
dem-4200	24	25	.	.	PUNCT
dem-4200	25	1	the	the	DET
dem-4200	25	2	individual	individual	ADJ
dem-4200	25	3	forecasts	forecast	NOUN
dem-4200	25	4	,	,	PUNCT
dem-4200	25	5	calculated	calculate	VERB
dem-4200	25	6	from	from	ADP
dem-4200	25	7	the	the	DET
dem-4200	25	8	considered	consider	VERB
dem-4200	25	9	models	model	NOUN
dem-4200	25	10	,	,	PUNCT
dem-4200	25	11	are	be	AUX
dem-4200	25	12	aggregated	aggregate	VERB
dem-4200	25	13	with	with	ADP
dem-4200	25	14	the	the	DET
dem-4200	25	15	akaike	akaike	ADJ
dem-4200	25	16	weights	weight	NOUN
dem-4200	25	17	.	.	PUNCT
dem-4200	26	1	the	the	DET
dem-4200	26	2	paper	paper	NOUN
dem-4200	26	3	propagates	propagate	VERB
dem-4200	26	4	the	the	DET
dem-4200	26	5	application	application	NOUN
dem-4200	26	6	of	of	ADP
dem-4200	26	7	the	the	DET
dem-4200	26	8	akaike	akaike	ADJ
dem-4200	26	9	weights	weight	NOUN
dem-4200	26	10	,	,	PUNCT
dem-4200	26	11	previously	previously	ADV
dem-4200	26	12	unknown	unknown	ADJ
dem-4200	26	13	in	in	ADP
dem-4200	26	14	polish	polish	ADJ
dem-4200	26	15	literature	literature	NOUN
dem-4200	26	16	,	,	PUNCT
dem-4200	26	17	and	and	CCONJ
dem-4200	26	18	evidence	evidence	NOUN
dem-4200	26	19	ratios	ratio	NOUN
dem-4200	26	20	in	in	ADP
dem-4200	26	21	selecting	select	VERB
dem-4200	26	22	a	a	DET
dem-4200	26	23	model	model	NOUN
dem-4200	26	24	over	over	ADP
dem-4200	26	25	the	the	DET
dem-4200	26	26	underlying	underlie	VERB
dem-4200	26	27	set	set	NOUN
dem-4200	26	28	of	of	ADP
dem-4200	26	29	models	model	NOUN
dem-4200	26	30	and	and	CCONJ
dem-4200	26	31	in	in	ADP
dem-4200	26	32	producing	produce	VERB
dem-4200	26	33	the	the	DET
dem-4200	26	34	combined	combine	VERB
dem-4200	26	35	forecasts	forecast	NOUN
dem-4200	26	36	.	.	PUNCT
dem-4200	27	1	the	the	DET
dem-4200	27	2	purpose	purpose	NOUN
dem-4200	27	3	of	of	ADP
dem-4200	27	4	the	the	DET
dem-4200	27	5	paper	paper	NOUN
dem-4200	27	6	is	be	AUX
dem-4200	27	7	to	to	PART
dem-4200	27	8	propose	propose	VERB
dem-4200	27	9	the	the	DET
dem-4200	27	10	procedure	procedure	NOUN
dem-4200	27	11	of	of	ADP
dem-4200	27	12	combining	combine	VERB
dem-4200	27	13	forecasts	forecast	NOUN
dem-4200	27	14	using	use	VERB
dem-4200	27	15	the	the	DET
dem-4200	27	16	akaike	akaike	ADJ
dem-4200	27	17	weights	weight	NOUN
dem-4200	27	18	,	,	PUNCT
dem-4200	27	19	and	and	CCONJ
dem-4200	27	20	also	also	ADV
dem-4200	27	21	to	to	PART
dem-4200	27	22	compare	compare	VERB
dem-4200	27	23	the	the	DET
dem-4200	27	24	combined	combine	VERB
dem-4200	27	25	forecasts	forecast	NOUN
dem-4200	27	26	(	(	PUNCT
dem-4200	27	27	with	with	ADP
dem-4200	27	28	the	the	DET
dem-4200	27	29	akaike	akaike	ADJ
dem-4200	27	30	weights	weight	NOUN
dem-4200	27	31	and	and	CCONJ
dem-4200	27	32	equal	equal	ADJ
dem-4200	27	33	weights	weight	NOUN
dem-4200	27	34	)	)	PUNCT
dem-4200	27	35	with	with	ADP
dem-4200	27	36	individual	individual	ADJ
dem-4200	27	37	forecasts	forecast	NOUN
dem-4200	27	38	obtained	obtain	VERB
dem-4200	27	39	from	from	ADP
dem-4200	27	40	the	the	DET
dem-4200	27	41	best	good	ADJ
dem-4200	27	42	model	model	NOUN
dem-4200	27	43	selected	select	VERB
dem-4200	27	44	according	accord	VERB
dem-4200	27	45	to	to	ADP
dem-4200	27	46	:	:	PUNCT
dem-4200	27	47	(	(	PUNCT
dem-4200	27	48	1	1	X
dem-4200	27	49	)	)	PUNCT
dem-4200	27	50	the	the	DET
dem-4200	27	51	akaike	akaike	ADJ
dem-4200	27	52	information	information	NOUN
dem-4200	27	53	criterion	criterion	NOUN
dem-4200	27	54	and	and	CCONJ
dem-4200	27	55	(	(	PUNCT
dem-4200	27	56	2	2	X
dem-4200	27	57	)	)	PUNCT
dem-4200	27	58	traditional	traditional	ADJ
dem-4200	27	59	hypothesis	hypothesis	NOUN
dem-4200	27	60	testing	testing	NOUN
dem-4200	27	61	.	.	PUNCT
dem-4200	28	1	the	the	DET
dem-4200	28	2	analysis	analysis	NOUN
dem-4200	28	3	will	will	AUX
dem-4200	28	4	be	be	AUX
dem-4200	28	5	conducted	conduct	VERB
dem-4200	28	6	in	in	ADP
dem-4200	28	7	the	the	DET
dem-4200	28	8	simulation	simulation	NOUN
dem-4200	28	9	study	study	NOUN
dem-4200	28	10	in	in	ADP
dem-4200	28	11	which	which	PRON
dem-4200	28	12	autoregressive	autoregressive	ADJ
dem-4200	28	13	models	model	NOUN
dem-4200	28	14	and	and	CCONJ
dem-4200	28	15	causal	causal	NOUN
dem-4200	28	16	models	model	NOUN
dem-4200	28	17	are	be	AUX
dem-4200	28	18	taken	take	VERB
dem-4200	28	19	as	as	ADP
dem-4200	28	20	approximating	approximate	VERB
dem-4200	28	21	models	model	NOUN
dem-4200	28	22	provided	provide	VERB
dem-4200	28	23	that	that	SCONJ
dem-4200	28	24	the	the	DET
dem-4200	28	25	data	data	NOUN
dem-4200	28	26	generating	generating	NOUN
dem-4200	28	27	model	model	NOUN
dem-4200	28	28	is	be	AUX
dem-4200	28	29	unknown	unknown	ADJ
dem-4200	28	30	.	.	PUNCT
dem-4200	29	1	the	the	DET
dem-4200	29	2	structure	structure	NOUN
dem-4200	29	3	of	of	ADP
dem-4200	29	4	the	the	DET
dem-4200	29	5	paper	paper	NOUN
dem-4200	29	6	is	be	AUX
dem-4200	29	7	as	as	SCONJ
dem-4200	29	8	follows	follow	VERB
dem-4200	29	9	.	.	PUNCT
dem-4200	30	1	in	in	ADP
dem-4200	30	2	section	section	NOUN
dem-4200	30	3	2	2	NUM
dem-4200	30	4	the	the	DET
dem-4200	30	5	construction	construction	NOUN
dem-4200	30	6	of	of	ADP
dem-4200	30	7	the	the	DET
dem-4200	30	8	akaike	akaike	ADJ
dem-4200	30	9	weights	weight	NOUN
dem-4200	30	10	will	will	AUX
dem-4200	30	11	be	be	AUX
dem-4200	30	12	presented	present	VERB
dem-4200	30	13	.	.	PUNCT
dem-4200	31	1	in	in	ADP
dem-4200	31	2	section	section	NOUN
dem-4200	31	3	3	3	NUM
dem-4200	31	4	the	the	DET
dem-4200	31	5	procedure	procedure	NOUN
dem-4200	31	6	of	of	ADP
dem-4200	31	7	combining	combine	VERB
dem-4200	31	8	forecasts	forecast	NOUN
dem-4200	31	9	using	use	VERB
dem-4200	31	10	the	the	DET
dem-4200	31	11	akaike	akaike	ADJ
dem-4200	31	12	weights	weight	NOUN
dem-4200	31	13	will	will	AUX
dem-4200	31	14	be	be	AUX
dem-4200	31	15	depicted	depict	VERB
dem-4200	31	16	.	.	PUNCT
dem-4200	32	1	next	next	ADV
dem-4200	32	2	,	,	PUNCT
dem-4200	32	3	the	the	DET
dem-4200	32	4	results	result	NOUN
dem-4200	32	5	of	of	ADP
dem-4200	32	6	simulation	simulation	NOUN
dem-4200	32	7	experiment	experiment	NOUN
dem-4200	32	8	will	will	AUX
dem-4200	32	9	be	be	AUX
dem-4200	32	10	showed	show	VERB
dem-4200	32	11	and	and	CCONJ
dem-4200	32	12	at	at	ADP
dem-4200	32	13	the	the	DET
dem-4200	32	14	very	very	ADJ
dem-4200	32	15	end	end	NOUN
dem-4200	32	16	–	–	PUNCT
dem-4200	32	17	some	some	DET
dem-4200	32	18	conclusions	conclusion	NOUN
dem-4200	32	19	.	.	PUNCT
dem-4200	33	1	2	2	X
dem-4200	33	2	.	.	X
dem-4200	33	3	the	the	DET
dem-4200	33	4	akaike	akaike	ADJ
dem-4200	33	5	weights	weight	NOUN
dem-4200	33	6	the	the	DET
dem-4200	33	7	akaike	akaike	ADJ
dem-4200	33	8	information	information	NOUN
dem-4200	33	9	criterion	criterion	NOUN
dem-4200	33	10	is	be	AUX
dem-4200	33	11	applied	apply	VERB
dem-4200	33	12	to	to	PART
dem-4200	33	13	select	select	VERB
dem-4200	33	14	the	the	DET
dem-4200	33	15	best	good	ADJ
dem-4200	33	16	model	model	NOUN
dem-4200	33	17	from	from	ADP
dem-4200	33	18	among	among	ADP
dem-4200	33	19	the	the	DET
dem-4200	33	20	candidate	candidate	NOUN
dem-4200	33	21	models	model	NOUN
dem-4200	33	22	considered	consider	VERB
dem-4200	33	23	.	.	PUNCT
dem-4200	34	1	the	the	DET
dem-4200	34	2	akaike	akaike	ADJ
dem-4200	34	3	’s	’s	X
dem-4200	34	4	(	(	PUNCT
dem-4200	34	5	1973	1973	NUM
dem-4200	34	6	)	)	PUNCT
dem-4200	34	7	seminal	seminal	ADJ
dem-4200	34	8	paper	paper	NOUN
dem-4200	34	9	proposed	propose	VERB
dem-4200	34	10	the	the	DET
dem-4200	34	11	use	use	NOUN
dem-4200	34	12	of	of	ADP
dem-4200	34	13	the	the	DET
dem-4200	34	14	kullback	kullback	NOUN
dem-4200	34	15	-	-	PUNCT
dem-4200	34	16	leibler	leibler	NOUN
dem-4200	34	17	information	information	NOUN
dem-4200	34	18	or	or	CCONJ
dem-4200	34	19	distance	distance	NOUN
dem-4200	34	20	as	as	ADP
dem-4200	34	21	a	a	DET
dem-4200	34	22	fundamental	fundamental	ADJ
dem-4200	34	23	basis	basis	NOUN
dem-4200	34	24	for	for	ADP
dem-4200	34	25	model	model	NOUN
dem-4200	34	26	selection	selection	NOUN
dem-4200	34	27	.	.	PUNCT
dem-4200	35	1	the	the	DET
dem-4200	35	2	kullback	kullback	NOUN
dem-4200	35	3	-	-	PUNCT
dem-4200	35	4	leibler	leibler	NOUN
dem-4200	35	5	(	(	PUNCT
dem-4200	35	6	k	k	NOUN
dem-4200	35	7	-	-	PUNCT
dem-4200	35	8	l	l	NOUN
dem-4200	35	9	)	)	PUNCT
dem-4200	35	10	information	information	NOUN
dem-4200	35	11	between	between	ADP
dem-4200	35	12	models	model	NOUN
dem-4200	35	13	f	f	X
dem-4200	35	14	(	(	PUNCT
dem-4200	35	15	true	true	ADJ
dem-4200	35	16	model	model	NOUN
dem-4200	35	17	or	or	CCONJ
dem-4200	35	18	probability	probability	NOUN
dem-4200	35	19	distribution	distribution	NOUN
dem-4200	35	20	)	)	PUNCT
dem-4200	35	21	and	and	CCONJ
dem-4200	35	22	g	g	NOUN
dem-4200	35	23	(	(	PUNCT
dem-4200	35	24	approximating	approximate	VERB
dem-4200	35	25	model	model	NOUN
dem-4200	35	26	in	in	ADP
dem-4200	35	27	terms	term	NOUN
dem-4200	35	28	of	of	ADP
dem-4200	35	29	a	a	DET
dem-4200	35	30	probability	probability	NOUN
dem-4200	35	31	distribution	distribution	NOUN
dem-4200	35	32	)	)	PUNCT
dem-4200	35	33	is	be	AUX
dem-4200	35	34	defined	define	VERB
dem-4200	35	35	for	for	ADP
dem-4200	35	36	continuous	continuous	ADJ
dem-4200	35	37	functions	function	NOUN
dem-4200	35	38	as	as	ADP
dem-4200	35	39	the	the	DET
dem-4200	35	40	integral	integral	ADJ
dem-4200	35	41	:	:	PUNCT
dem-4200	35	42	combined	combine	VERB
dem-4200	35	43	forecasts	forecast	NOUN
dem-4200	35	44	using	use	VERB
dem-4200	35	45	the	the	DET
dem-4200	35	46	akaike	akaike	ADJ
dem-4200	35	47	weights	weight	NOUN
dem-4200	35	48	7	7	NUM
dem-4200	35	49	∫=	∫=	PROPN
dem-4200	35	50	,	,	PUNCT
dem-4200	35	51	)	)	PUNCT
dem-4200	35	52	|	|	ADV
dem-4200	35	53	(	(	PUNCT
dem-4200	35	54	)	)	PUNCT
dem-4200	35	55	(	(	PUNCT
dem-4200	35	56	ln	ln	NOUN
dem-4200	35	57	)	)	PUNCT
dem-4200	35	58	(	(	PUNCT
dem-4200	35	59	)	)	PUNCT
dem-4200	35	60	,	,	PUNCT
dem-4200	35	61	(	(	PUNCT
dem-4200	35	62	dx	dx	PROPN
dem-4200	35	63	xg	xg	PROPN
dem-4200	36	1	xfxfgfi	xfxfgfi	PROPN
dem-4200	36	2	θ	θ	PROPN
dem-4200	36	3	(	(	PUNCT
dem-4200	36	4	1	1	NUM
dem-4200	36	5	)	)	PUNCT
dem-4200	36	6	where	where	SCONJ
dem-4200	36	7	,	,	PUNCT
dem-4200	36	8	0	0	NUM
dem-4200	36	9	)	)	PUNCT
dem-4200	36	10	,	,	PUNCT
dem-4200	36	11	(	(	PUNCT
dem-4200	36	12	≥gfi	≥gfi	PROPN
dem-4200	36	13	0	0	NUM
dem-4200	36	14	)	)	PUNCT
dem-4200	36	15	,	,	PUNCT
dem-4200	36	16	(	(	PUNCT
dem-4200	37	1	=	=	NOUN
dem-4200	37	2	gfi	gfi	PROPN
dem-4200	37	3	only	only	ADV
dem-4200	37	4	if	if	SCONJ
dem-4200	37	5	,	,	PUNCT
dem-4200	37	6	gf	gf	NOUN
dem-4200	37	7	=	=	PUNCT
dem-4200	37	8	)	)	PUNCT
dem-4200	37	9	.	.	PUNCT
dem-4200	37	10	,	,	PUNCT
dem-4200	37	11	(	(	PUNCT
dem-4200	37	12	)	)	PUNCT
dem-4200	37	13	,	,	PUNCT
dem-4200	37	14	(	(	PUNCT
dem-4200	37	15	fgigfi	fgigfi	NOUN
dem-4200	37	16	≠	≠	PROPN
dem-4200	37	17	)	)	PUNCT
dem-4200	37	18	,	,	PUNCT
dem-4200	37	19	(	(	PUNCT
dem-4200	37	20	gfi	gfi	PROPN
dem-4200	37	21	denotes	denote	VERB
dem-4200	37	22	the	the	DET
dem-4200	37	23	information	information	NOUN
dem-4200	37	24	lost	lose	VERB
dem-4200	37	25	when	when	SCONJ
dem-4200	37	26	the	the	DET
dem-4200	37	27	model	model	NOUN
dem-4200	37	28	g	g	PROPN
dem-4200	37	29	is	be	AUX
dem-4200	37	30	used	use	VERB
dem-4200	37	31	to	to	PART
dem-4200	37	32	approximate	approximate	VERB
dem-4200	37	33	the	the	DET
dem-4200	37	34	model	model	NOUN
dem-4200	37	35	f.	f.	PROPN
dem-4200	38	1	the	the	DET
dem-4200	38	2	purpose	purpose	NOUN
dem-4200	38	3	is	be	AUX
dem-4200	38	4	to	to	PART
dem-4200	38	5	seek	seek	VERB
dem-4200	38	6	an	an	DET
dem-4200	38	7	approximating	approximate	VERB
dem-4200	38	8	model	model	NOUN
dem-4200	38	9	that	that	PRON
dem-4200	38	10	loses	lose	VERB
dem-4200	38	11	as	as	ADP
dem-4200	38	12	little	little	ADJ
dem-4200	38	13	information	information	NOUN
dem-4200	38	14	as	as	ADP
dem-4200	38	15	possible	possible	ADJ
dem-4200	38	16	.	.	PUNCT
dem-4200	39	1	this	this	PRON
dem-4200	39	2	is	be	AUX
dem-4200	39	3	equivalent	equivalent	ADJ
dem-4200	39	4	to	to	ADP
dem-4200	39	5	minimizing	minimize	VERB
dem-4200	39	6	)	)	PUNCT
dem-4200	39	7	,	,	PUNCT
dem-4200	39	8	(	(	PUNCT
dem-4200	39	9	gfi	gfi	PROPN
dem-4200	39	10	over	over	ADP
dem-4200	39	11	g.	g.	PROPN
dem-4200	39	12	akaike	akaike	PROPN
dem-4200	39	13	(	(	PUNCT
dem-4200	39	14	1973	1973	NUM
dem-4200	39	15	)	)	PUNCT
dem-4200	39	16	found	find	VERB
dem-4200	39	17	a	a	DET
dem-4200	39	18	rigorous	rigorous	ADJ
dem-4200	39	19	way	way	NOUN
dem-4200	39	20	to	to	PART
dem-4200	39	21	estimate	estimate	VERB
dem-4200	39	22	k	k	ADJ
dem-4200	39	23	-	-	PUNCT
dem-4200	39	24	l	l	NOUN
dem-4200	39	25	information	information	NOUN
dem-4200	39	26	based	base	VERB
dem-4200	39	27	on	on	ADP
dem-4200	39	28	the	the	DET
dem-4200	39	29	empirical	empirical	ADJ
dem-4200	39	30	log	log	NOUN
dem-4200	39	31	-	-	PUNCT
dem-4200	39	32	likelihood	likelihood	NOUN
dem-4200	39	33	function	function	NOUN
dem-4200	39	34	at	at	ADP
dem-4200	39	35	its	its	PRON
dem-4200	39	36	maximum	maximum	ADJ
dem-4200	39	37	point	point	NOUN
dem-4200	39	38	.	.	PUNCT
dem-4200	40	1	this	this	DET
dem-4200	40	2	result	result	NOUN
dem-4200	40	3	took	take	VERB
dem-4200	40	4	the	the	DET
dem-4200	40	5	form	form	NOUN
dem-4200	40	6	of	of	ADP
dem-4200	40	7	an	an	DET
dem-4200	40	8	information	information	NOUN
dem-4200	40	9	criterion	criterion	NOUN
dem-4200	40	10	:	:	PUNCT
dem-4200	40	11	,	,	PUNCT
dem-4200	40	12	2)ˆ(ln2aic	2)ˆ(ln2aic	PROPN
dem-4200	40	13	kl	kl	PROPN
dem-4200	41	1	+	+	PROPN
dem-4200	41	2	−=	−=	VERB
dem-4200	41	3	θ	θ	NOUN
dem-4200	41	4	(	(	PUNCT
dem-4200	41	5	2	2	NUM
dem-4200	41	6	)	)	PUNCT
dem-4200	41	7	where	where	SCONJ
dem-4200	41	8	)	)	PUNCT
dem-4200	41	9	ˆ(θl	ˆ(θl	NOUN
dem-4200	41	10	is	be	AUX
dem-4200	41	11	the	the	DET
dem-4200	41	12	maximum	maximum	ADJ
dem-4200	41	13	likelihood	likelihood	NOUN
dem-4200	41	14	for	for	ADP
dem-4200	41	15	the	the	DET
dem-4200	41	16	candidate	candidate	NOUN
dem-4200	41	17	model	model	NOUN
dem-4200	41	18	,	,	PUNCT
dem-4200	41	19	i	i	PRON
dem-4200	41	20	which	which	PRON
dem-4200	41	21	is	be	AUX
dem-4200	41	22	corrected	correct	VERB
dem-4200	41	23	by	by	ADP
dem-4200	41	24	k	k	PROPN
dem-4200	41	25	the	the	DET
dem-4200	41	26	number	number	NOUN
dem-4200	41	27	of	of	ADP
dem-4200	41	28	estimated	estimate	VERB
dem-4200	41	29	parameters	parameter	NOUN
dem-4200	41	30	.	.	PUNCT
dem-4200	42	1	akaike	akaike	ADJ
dem-4200	42	2	has	have	AUX
dem-4200	42	3	showed	show	VERB
dem-4200	42	4	that	that	SCONJ
dem-4200	42	5	choosing	choose	VERB
dem-4200	42	6	the	the	DET
dem-4200	42	7	model	model	NOUN
dem-4200	42	8	with	with	ADP
dem-4200	42	9	the	the	DET
dem-4200	42	10	lowest	low	ADJ
dem-4200	42	11	expected	expect	VERB
dem-4200	42	12	information	information	NOUN
dem-4200	42	13	loss	loss	NOUN
dem-4200	42	14	(	(	PUNCT
dem-4200	42	15	i.e.	i.e.	X
dem-4200	42	16	the	the	DET
dem-4200	42	17	model	model	NOUN
dem-4200	42	18	which	which	PRON
dem-4200	42	19	minimizes	minimize	VERB
dem-4200	42	20	the	the	DET
dem-4200	42	21	expected	expect	VERB
dem-4200	42	22	kullback	kullback	NOUN
dem-4200	42	23	-	-	PUNCT
dem-4200	42	24	leibler	leibler	NOUN
dem-4200	42	25	discrepancy	discrepancy	NOUN
dem-4200	42	26	)	)	PUNCT
dem-4200	42	27	is	be	AUX
dem-4200	42	28	asymptotically	asymptotically	ADV
dem-4200	42	29	equivalent	equivalent	ADJ
dem-4200	42	30	to	to	ADP
dem-4200	42	31	choosing	choose	VERB
dem-4200	42	32	the	the	DET
dem-4200	42	33	model	model	NOUN
dem-4200	42	34	i	i	X
dem-4200	42	35	m	m	PROPN
dem-4200	42	36	)	)	PUNCT
dem-4200	42	37	,	,	PUNCT
dem-4200	42	38	...	...	PUNCT
dem-4200	42	39	,	,	PUNCT
dem-4200	42	40	2,1	2,1	NUM
dem-4200	42	41	(	(	PUNCT
dem-4200	42	42	ri	ri	NOUN
dem-4200	42	43	=	=	NOUN
dem-4200	42	44	that	that	PRON
dem-4200	42	45	has	have	VERB
dem-4200	42	46	the	the	DET
dem-4200	42	47	lowest	low	ADJ
dem-4200	42	48	aic	aic	PROPN
dem-4200	42	49	value	value	NOUN
dem-4200	42	50	.	.	PUNCT
dem-4200	43	1	to	to	PART
dem-4200	43	2	obtain	obtain	VERB
dem-4200	43	3	the	the	DET
dem-4200	43	4	akaike	akaike	ADJ
dem-4200	43	5	weights	weight	NOUN
dem-4200	43	6	a	a	DET
dem-4200	43	7	simple	simple	ADJ
dem-4200	43	8	transformation	transformation	NOUN
dem-4200	43	9	of	of	ADP
dem-4200	43	10	the	the	DET
dem-4200	43	11	raw	raw	ADJ
dem-4200	43	12	aic	aic	PROPN
dem-4200	43	13	values	value	NOUN
dem-4200	43	14	should	should	AUX
dem-4200	43	15	be	be	AUX
dem-4200	43	16	performed	perform	VERB
dem-4200	43	17	.	.	PUNCT
dem-4200	44	1	for	for	ADP
dem-4200	44	2	each	each	DET
dem-4200	44	3	model	model	NOUN
dem-4200	44	4	the	the	DET
dem-4200	44	5	difference	difference	NOUN
dem-4200	44	6	in	in	ADP
dem-4200	44	7	aic	aic	PROPN
dem-4200	44	8	with	with	ADP
dem-4200	44	9	respect	respect	NOUN
dem-4200	44	10	to	to	ADP
dem-4200	44	11	the	the	DET
dem-4200	44	12	aic	aic	PROPN
dem-4200	44	13	of	of	ADP
dem-4200	44	14	the	the	DET
dem-4200	44	15	best	good	ADJ
dem-4200	44	16	candidate	candidate	NOUN
dem-4200	44	17	model	model	NOUN
dem-4200	44	18	is	be	AUX
dem-4200	44	19	computed	compute	VERB
dem-4200	44	20	:	:	PUNCT
dem-4200	44	21	.aicaic	.aicaic	PROPN
dem-4200	44	22	min−=δ	min−=δ	PROPN
dem-4200	44	23	ii	ii	PROPN
dem-4200	44	24	(	(	PUNCT
dem-4200	44	25	3	3	X
dem-4200	44	26	)	)	PUNCT
dem-4200	44	27	these	these	DET
dem-4200	44	28	iδ	iδ	NOUN
dem-4200	44	29	are	be	AUX
dem-4200	44	30	easy	easy	ADJ
dem-4200	44	31	to	to	PART
dem-4200	44	32	interpret	interpret	VERB
dem-4200	44	33	and	and	CCONJ
dem-4200	44	34	allow	allow	VERB
dem-4200	44	35	a	a	DET
dem-4200	44	36	quick	quick	ADJ
dem-4200	44	37	comparison	comparison	NOUN
dem-4200	44	38	and	and	CCONJ
dem-4200	44	39	ranking	ranking	NOUN
dem-4200	44	40	of	of	ADP
dem-4200	44	41	candidate	candidate	NOUN
dem-4200	44	42	models	model	NOUN
dem-4200	44	43	.	.	PUNCT
dem-4200	45	1	the	the	DET
dem-4200	45	2	best	good	ADJ
dem-4200	45	3	model	model	NOUN
dem-4200	45	4	over	over	ADP
dem-4200	45	5	the	the	DET
dem-4200	45	6	candidate	candidate	NOUN
dem-4200	45	7	models	model	NOUN
dem-4200	45	8	has	have	VERB
dem-4200	45	9	0min	0min	NUM
dem-4200	45	10	=	=	NUM
dem-4200	45	11	δ≡δ	δ≡δ	PROPN
dem-4200	46	1	i	i	PRON
dem-4200	46	2	.	.	PUNCT
dem-4200	47	1	the	the	DET
dem-4200	47	2	larger	large	ADJ
dem-4200	47	3	iδ	iδ	NOUN
dem-4200	47	4	is	be	AUX
dem-4200	47	5	,	,	PUNCT
dem-4200	47	6	the	the	DET
dem-4200	47	7	less	less	ADV
dem-4200	47	8	plausible	plausible	ADJ
dem-4200	47	9	is	be	AUX
dem-4200	47	10	that	that	SCONJ
dem-4200	47	11	the	the	DET
dem-4200	47	12	fitted	fit	VERB
dem-4200	47	13	model	model	NOUN
dem-4200	47	14	i	i	PRON
dem-4200	47	15	m	m	VERB
dem-4200	47	16	is	be	AUX
dem-4200	47	17	the	the	DET
dem-4200	47	18	k	k	PROPN
dem-4200	47	19	-	-	PUNCT
dem-4200	47	20	l	l	ADJ
dem-4200	47	21	best	good	ADJ
dem-4200	47	22	model	model	NOUN
dem-4200	47	23	,	,	PUNCT
dem-4200	47	24	given	give	VERB
dem-4200	47	25	the	the	DET
dem-4200	47	26	data	datum	NOUN
dem-4200	47	27	.	.	PUNCT
dem-4200	48	1	for	for	ADP
dem-4200	48	2	nested	nested	ADJ
dem-4200	48	3	model	model	NOUN
dem-4200	48	4	some	some	DET
dem-4200	48	5	rough	rough	ADJ
dem-4200	48	6	rules	rule	NOUN
dem-4200	48	7	of	of	ADP
dem-4200	48	8	thumb	thumb	NOUN
dem-4200	48	9	are	be	AUX
dem-4200	48	10	available	available	ADJ
dem-4200	48	11	in	in	ADP
dem-4200	48	12	selecting	select	VERB
dem-4200	48	13	the	the	DET
dem-4200	48	14	model	model	NOUN
dem-4200	48	15	(	(	PUNCT
dem-4200	48	16	burnham	burnham	PROPN
dem-4200	48	17	,	,	PUNCT
dem-4200	48	18	anderson	anderson	PROPN
dem-4200	48	19	,	,	PUNCT
dem-4200	48	20	2002	2002	NUM
dem-4200	48	21	)	)	PUNCT
dem-4200	48	22	,	,	PUNCT
dem-4200	48	23	i.e.	i.e.	X
dem-4200	48	24	models	model	NOUN
dem-4200	48	25	with	with	ADP
dem-4200	48	26	2	2	NUM
dem-4200	48	27	<	<	NOUN
dem-4200	48	28	δ	δ	NOUN
dem-4200	48	29	i	i	PRON
dem-4200	48	30	have	have	VERB
dem-4200	48	31	substantial	substantial	ADJ
dem-4200	48	32	support	support	NOUN
dem-4200	48	33	,	,	PUNCT
dem-4200	48	34	models	model	NOUN
dem-4200	48	35	with	with	ADP
dem-4200	48	36	74	74	NUM
dem-4200	48	37	<	<	NOUN
dem-4200	48	38	δ	δ	X
dem-4200	48	39	<	<	X
dem-4200	48	40	i	i	PROPN
dem-4200	48	41	–	–	PUNCT
dem-4200	48	42	considerable	considerable	ADJ
dem-4200	48	43	less	less	ADJ
dem-4200	48	44	support	support	NOUN
dem-4200	48	45	.	.	PUNCT
dem-4200	49	1	models	model	NOUN
dem-4200	49	2	with	with	ADP
dem-4200	49	3	10	10	NUM
dem-4200	49	4	>	>	SYM
dem-4200	49	5	δ	δ	NOUN
dem-4200	50	1	i	i	PRON
dem-4200	50	2	have	have	VERB
dem-4200	50	3	either	either	CCONJ
dem-4200	50	4	essentially	essentially	ADV
dem-4200	50	5	no	no	DET
dem-4200	50	6	support	support	NOUN
dem-4200	50	7	and	and	CCONJ
dem-4200	50	8	might	might	AUX
dem-4200	50	9	be	be	AUX
dem-4200	50	10	omitted	omit	VERB
dem-4200	50	11	from	from	ADP
dem-4200	50	12	further	further	ADJ
dem-4200	50	13	consideration	consideration	NOUN
dem-4200	50	14	,	,	PUNCT
dem-4200	50	15	because	because	SCONJ
dem-4200	50	16	they	they	PRON
dem-4200	50	17	fail	fail	VERB
dem-4200	50	18	to	to	PART
dem-4200	50	19	explain	explain	VERB
dem-4200	50	20	some	some	DET
dem-4200	50	21	substantial	substantial	ADJ
dem-4200	50	22	explainable	explainable	ADJ
dem-4200	50	23	variation	variation	NOUN
dem-4200	50	24	in	in	ADP
dem-4200	50	25	the	the	DET
dem-4200	50	26	data	datum	NOUN
dem-4200	50	27	.	.	PUNCT
dem-4200	51	1	in	in	ADP
dem-4200	51	2	empirical	empirical	ADJ
dem-4200	51	3	data	datum	NOUN
dem-4200	51	4	analysis	analysis	NOUN
dem-4200	51	5	the	the	DET
dem-4200	51	6	models	model	NOUN
dem-4200	51	7	with	with	ADP
dem-4200	51	8	4	4	NUM
dem-4200	51	9	<	<	NOUN
dem-4200	51	10	δ	δ	NOUN
dem-4200	51	11	i	i	PRON
dem-4200	51	12	are	be	AUX
dem-4200	51	13	accepted	accept	VERB
dem-4200	51	14	.	.	PUNCT
dem-4200	52	1	from	from	ADP
dem-4200	52	2	the	the	DET
dem-4200	52	3	differences	difference	NOUN
dem-4200	52	4	iδ	iδ	INTJ
dem-4200	52	5	we	we	PRON
dem-4200	52	6	can	can	AUX
dem-4200	52	7	obtain	obtain	VERB
dem-4200	52	8	the	the	DET
dem-4200	52	9	relative	relative	ADJ
dem-4200	52	10	plausibility	plausibility	NOUN
dem-4200	52	11	of	of	ADP
dem-4200	52	12	model	model	NOUN
dem-4200	53	1	i	i	X
dem-4200	53	2	m	m	VERB
dem-4200	53	3	over	over	ADP
dem-4200	53	4	the	the	DET
dem-4200	53	5	set	set	NOUN
dem-4200	53	6	of	of	ADP
dem-4200	53	7	candidate	candidate	NOUN
dem-4200	53	8	models	model	NOUN
dem-4200	53	9	by	by	ADP
dem-4200	53	10	estimating	estimate	VERB
dem-4200	53	11	the	the	DET
dem-4200	53	12	relative	relative	ADJ
dem-4200	53	13	likelihood	likelihood	NOUN
dem-4200	53	14	)	)	PUNCT
dem-4200	54	1	|	|	ADV
dem-4200	54	2	(	(	PUNCT
dem-4200	54	3	xml	xml	VERB
dem-4200	54	4	i	i	PRON
dem-4200	54	5	of	of	ADP
dem-4200	54	6	model	model	NOUN
dem-4200	54	7	i	i	PRON
dem-4200	54	8	m	m	AUX
dem-4200	54	9	given	give	VERB
dem-4200	54	10	the	the	DET
dem-4200	54	11	data	datum	NOUN
dem-4200	54	12	x	x	SYM
dem-4200	54	13	(	(	PUNCT
dem-4200	54	14	akaike	akaike	ADJ
dem-4200	54	15	,	,	PUNCT
dem-4200	54	16	1983	1983	NUM
dem-4200	54	17	):	):	PUNCT
dem-4200	54	18	)	)	PUNCT
dem-4200	54	19	,	,	PUNCT
dem-4200	54	20	5.0exp()|	5.0exp()|	NUM
dem-4200	54	21	(	(	PUNCT
dem-4200	54	22	ii	ii	PROPN
dem-4200	54	23	xml	xml	PROPN
dem-4200	54	24	δ−∝	δ−∝	NUM
dem-4200	54	25	(	(	PUNCT
dem-4200	54	26	4	4	NUM
dem-4200	54	27	)	)	PUNCT
dem-4200	54	28	where	where	SCONJ
dem-4200	54	29	∝	∝	PROPN
dem-4200	54	30	stands	stand	VERB
dem-4200	54	31	for	for	ADP
dem-4200	54	32	„	„	PUNCT
dem-4200	54	33	is	be	AUX
dem-4200	54	34	proportional	proportional	ADJ
dem-4200	54	35	to	to	ADP
dem-4200	54	36	”	"	PUNCT
dem-4200	54	37	.	.	PUNCT
dem-4200	55	1	mariola	mariola	PROPN
dem-4200	55	2	piłatowska	piłatowska	PROPN
dem-4200	55	3	8	8	NUM
dem-4200	55	4	finally	finally	ADV
dem-4200	55	5	,	,	PUNCT
dem-4200	55	6	the	the	DET
dem-4200	55	7	relative	relative	ADJ
dem-4200	55	8	model	model	NOUN
dem-4200	55	9	likelihoods	likelihood	NOUN
dem-4200	55	10	are	be	AUX
dem-4200	55	11	normalized	normalize	VERB
dem-4200	55	12	(	(	PUNCT
dem-4200	55	13	divided	divide	VERB
dem-4200	55	14	by	by	ADP
dem-4200	55	15	the	the	DET
dem-4200	55	16	sum	sum	NOUN
dem-4200	55	17	of	of	ADP
dem-4200	55	18	the	the	DET
dem-4200	55	19	likelihoods	likelihood	NOUN
dem-4200	55	20	of	of	ADP
dem-4200	55	21	all	all	DET
dem-4200	55	22	models	model	NOUN
dem-4200	55	23	)	)	PUNCT
dem-4200	55	24	and	and	CCONJ
dem-4200	55	25	the	the	DET
dem-4200	55	26	akaike	akaike	ADJ
dem-4200	55	27	weights	weight	NOUN
dem-4200	55	28	iw	iw	INTJ
dem-4200	55	29	are	be	AUX
dem-4200	55	30	obtained	obtain	VERB
dem-4200	55	31	:	:	PUNCT
dem-4200	55	32	,	,	PUNCT
dem-4200	55	33	)	)	PUNCT
dem-4200	55	34	5.0exp	5.0exp	NUM
dem-4200	55	35	(	(	PUNCT
dem-4200	55	36	)	)	PUNCT
dem-4200	55	37	5.0exp	5.0exp	NUM
dem-4200	55	38	(	(	PUNCT
dem-4200	55	39	1	1	NUM
dem-4200	55	40	∑	∑	PROPN
dem-4200	55	41	=	=	NOUN
dem-4200	55	42	δ−	δ−	PROPN
dem-4200	55	43	δ−	δ−	PROPN
dem-4200	55	44	=	=	SYM
dem-4200	56	1	r	r	NOUN
dem-4200	56	2	r	r	NOUN
dem-4200	56	3	r	r	NOUN
dem-4200	56	4	i	i	PRON
dem-4200	56	5	iw	iw	VERB
dem-4200	56	6	.1	.1	NUM
dem-4200	56	7	1	1	NUM
dem-4200	56	8	=	=	NOUN
dem-4200	56	9	∑	∑	PUNCT
dem-4200	56	10	=	=	PUNCT
dem-4200	57	1	r	r	NOUN
dem-4200	57	2	i	i	PRON
dem-4200	57	3	iw	iw	INTJ
dem-4200	57	4	(	(	PUNCT
dem-4200	57	5	5	5	NUM
dem-4200	57	6	)	)	PUNCT
dem-4200	57	7	weight	weight	NOUN
dem-4200	57	8	iw	iw	NOUN
dem-4200	57	9	can	can	AUX
dem-4200	57	10	be	be	AUX
dem-4200	57	11	interpreted	interpret	VERB
dem-4200	57	12	as	as	ADP
dem-4200	57	13	the	the	DET
dem-4200	57	14	probability	probability	NOUN
dem-4200	57	15	that	that	SCONJ
dem-4200	57	16	i	i	PRON
dem-4200	57	17	m	m	VERB
dem-4200	57	18	is	be	AUX
dem-4200	57	19	the	the	DET
dem-4200	57	20	best	good	ADJ
dem-4200	57	21	model	model	NOUN
dem-4200	57	22	(	(	PUNCT
dem-4200	57	23	in	in	ADP
dem-4200	57	24	the	the	DET
dem-4200	57	25	aic	aic	PROPN
dem-4200	57	26	sense	sense	NOUN
dem-4200	57	27	,	,	PUNCT
dem-4200	57	28	i.e.	i.e.	X
dem-4200	57	29	the	the	DET
dem-4200	57	30	model	model	NOUN
dem-4200	57	31	minimizing	minimize	VERB
dem-4200	57	32	the	the	DET
dem-4200	57	33	k	k	ADJ
dem-4200	57	34	-	-	PUNCT
dem-4200	57	35	l	l	NOUN
dem-4200	57	36	information	information	NOUN
dem-4200	57	37	)	)	PUNCT
dem-4200	57	38	given	give	VERB
dem-4200	57	39	the	the	DET
dem-4200	57	40	data	datum	NOUN
dem-4200	57	41	and	and	CCONJ
dem-4200	57	42	the	the	DET
dem-4200	57	43	set	set	NOUN
dem-4200	57	44	of	of	ADP
dem-4200	57	45	candidate	candidate	NOUN
dem-4200	57	46	models	model	NOUN
dem-4200	57	47	.	.	PUNCT
dem-4200	58	1	additionally	additionally	ADV
dem-4200	58	2	weights	weight	VERB
dem-4200	58	3	iw	iw	PROPN
dem-4200	58	4	can	can	AUX
dem-4200	58	5	be	be	AUX
dem-4200	58	6	useful	useful	ADJ
dem-4200	58	7	in	in	ADP
dem-4200	58	8	evaluating	evaluate	VERB
dem-4200	58	9	the	the	DET
dem-4200	58	10	relative	relative	ADJ
dem-4200	58	11	strength	strength	NOUN
dem-4200	58	12	of	of	ADP
dem-4200	58	13	evidence	evidence	NOUN
dem-4200	58	14	for	for	ADP
dem-4200	58	15	the	the	DET
dem-4200	58	16	best	good	ADJ
dem-4200	58	17	model	model	NOUN
dem-4200	58	18	(	(	PUNCT
dem-4200	58	19	with	with	ADP
dem-4200	58	20	biggest	big	ADJ
dem-4200	58	21	weight	weight	NOUN
dem-4200	58	22	)	)	PUNCT
dem-4200	58	23	over	over	ADP
dem-4200	58	24	the	the	DET
dem-4200	58	25	other	other	ADJ
dem-4200	58	26	in	in	ADP
dem-4200	58	27	the	the	DET
dem-4200	58	28	set	set	NOUN
dem-4200	58	29	of	of	ADP
dem-4200	58	30	r	r	NOUN
dem-4200	58	31	models	model	NOUN
dem-4200	58	32	.	.	PUNCT
dem-4200	59	1	thus	thus	ADV
dem-4200	59	2	,	,	PUNCT
dem-4200	59	3	the	the	DET
dem-4200	59	4	evidence	evidence	NOUN
dem-4200	59	5	ratios	ratio	NOUN
dem-4200	59	6	or	or	CCONJ
dem-4200	59	7	the	the	DET
dem-4200	59	8	ratio	ratio	NOUN
dem-4200	59	9	of	of	ADP
dem-4200	59	10	akaike	akaike	ADJ
dem-4200	59	11	weights	weight	NOUN
dem-4200	59	12	ji	ji	PROPN
dem-4200	59	13	ww	ww	PROPN
dem-4200	59	14	/	/	PUNCT
dem-4200	59	15	(	(	PUNCT
dem-4200	59	16	in	in	ADP
dem-4200	59	17	particular	particular	ADJ
dem-4200	59	18	the	the	DET
dem-4200	59	19	ratio	ratio	NOUN
dem-4200	59	20	,	,	PUNCT
dem-4200	59	21	/1	/1	PROPN
dem-4200	59	22	jww	jww	PROPN
dem-4200	59	23	where	where	SCONJ
dem-4200	59	24	1w	1w	NOUN
dem-4200	59	25	is	be	AUX
dem-4200	59	26	the	the	DET
dem-4200	59	27	weight	weight	NOUN
dem-4200	59	28	for	for	ADP
dem-4200	59	29	the	the	DET
dem-4200	59	30	best	good	ADJ
dem-4200	59	31	model	model	NOUN
dem-4200	59	32	,	,	PUNCT
dem-4200	59	33	and	and	CCONJ
dem-4200	59	34	jw	jw	PROPN
dem-4200	59	35	–	–	PUNCT
dem-4200	59	36	weights	weight	NOUN
dem-4200	59	37	for	for	ADP
dem-4200	59	38	models	model	NOUN
dem-4200	59	39	in	in	ADP
dem-4200	59	40	the	the	DET
dem-4200	59	41	set	set	NOUN
dem-4200	59	42	)	)	PUNCT
dem-4200	59	43	are	be	AUX
dem-4200	59	44	calculated	calculate	VERB
dem-4200	59	45	.	.	PUNCT
dem-4200	60	1	it	it	PRON
dem-4200	60	2	is	be	AUX
dem-4200	60	3	worth	worth	ADJ
dem-4200	60	4	pointing	point	VERB
dem-4200	60	5	out	out	ADP
dem-4200	60	6	that	that	SCONJ
dem-4200	60	7	this	this	DET
dem-4200	60	8	approach	approach	NOUN
dem-4200	60	9	does	do	AUX
dem-4200	60	10	not	not	PART
dem-4200	60	11	assume	assume	VERB
dem-4200	60	12	that	that	SCONJ
dem-4200	60	13	any	any	PRON
dem-4200	60	14	of	of	ADP
dem-4200	60	15	the	the	DET
dem-4200	60	16	candidate	candidate	NOUN
dem-4200	60	17	models	model	NOUN
dem-4200	60	18	is	be	AUX
dem-4200	60	19	necessarily	necessarily	ADV
dem-4200	60	20	true	true	ADJ
dem-4200	60	21	,	,	PUNCT
dem-4200	60	22	but	but	CCONJ
dem-4200	60	23	rather	rather	ADV
dem-4200	60	24	the	the	DET
dem-4200	60	25	ranking	ranking	NOUN
dem-4200	60	26	of	of	ADP
dem-4200	60	27	models	model	NOUN
dem-4200	60	28	in	in	ADP
dem-4200	60	29	the	the	DET
dem-4200	60	30	sense	sense	NOUN
dem-4200	60	31	of	of	ADP
dem-4200	60	32	k	k	PROPN
dem-4200	60	33	-	-	PUNCT
dem-4200	60	34	l	l	NOUN
dem-4200	60	35	information	information	NOUN
dem-4200	60	36	is	be	AUX
dem-4200	60	37	considered2	considered2	NOUN
dem-4200	60	38	.	.	PUNCT
dem-4200	61	1	the	the	DET
dem-4200	61	2	aic	aic	PROPN
dem-4200	61	3	weights	weight	NOUN
dem-4200	61	4	(	(	PUNCT
dem-4200	61	5	5	5	NUM
dem-4200	61	6	)	)	PUNCT
dem-4200	61	7	can	can	AUX
dem-4200	61	8	be	be	AUX
dem-4200	61	9	generalized	generalize	VERB
dem-4200	61	10	into	into	ADP
dem-4200	61	11	the	the	DET
dem-4200	61	12	form	form	NOUN
dem-4200	61	13	(	(	PUNCT
dem-4200	61	14	burhnham	burhnham	PROPN
dem-4200	61	15	,	,	PUNCT
dem-4200	61	16	anderson	anderson	PROPN
dem-4200	61	17	,	,	PUNCT
dem-4200	61	18	2002	2002	NUM
dem-4200	61	19	,	,	PUNCT
dem-4200	61	20	2004	2004	NUM
dem-4200	61	21	):	):	PUNCT
dem-4200	61	22	,	,	PUNCT
dem-4200	61	23	)	)	PUNCT
dem-4200	61	24	5.0exp	5.0exp	NUM
dem-4200	61	25	(	(	PUNCT
dem-4200	61	26	)	)	PUNCT
dem-4200	61	27	5.0exp	5.0exp	NUM
dem-4200	61	28	(	(	PUNCT
dem-4200	61	29	1	1	NUM
dem-4200	61	30	r	r	NOUN
dem-4200	61	31	r	r	NOUN
dem-4200	61	32	r	r	NOUN
dem-4200	61	33	r	r	NOUN
dem-4200	61	34	ii	ii	NOUN
dem-4200	62	1	i	i	PRON
dem-4200	62	2	q	q	PROPN
dem-4200	62	3	qw	qw	ADP
dem-4200	62	4	∑	∑	PROPN
dem-4200	62	5	=	=	SYM
dem-4200	62	6	δ−	δ−	PROPN
dem-4200	62	7	δ−	δ−	PROPN
dem-4200	62	8	=	=	SYM
dem-4200	62	9	(	(	PUNCT
dem-4200	62	10	6	6	NUM
dem-4200	62	11	)	)	PUNCT
dem-4200	62	12	where	where	SCONJ
dem-4200	62	13	iq	iq	PROPN
dem-4200	62	14	is	be	AUX
dem-4200	62	15	a	a	DET
dem-4200	62	16	prior	prior	ADJ
dem-4200	62	17	probability	probability	NOUN
dem-4200	62	18	of	of	ADP
dem-4200	62	19	our	our	PRON
dem-4200	62	20	prior	prior	ADJ
dem-4200	62	21	information	information	NOUN
dem-4200	62	22	(	(	PUNCT
dem-4200	62	23	or	or	CCONJ
dem-4200	62	24	lack	lack	NOUN
dem-4200	62	25	thereof	thereof	ADV
dem-4200	62	26	)	)	PUNCT
dem-4200	62	27	about	about	ADP
dem-4200	62	28	which	which	PRON
dem-4200	62	29	of	of	ADP
dem-4200	62	30	the	the	DET
dem-4200	62	31	r	r	NOUN
dem-4200	62	32	models	model	NOUN
dem-4200	62	33	is	be	AUX
dem-4200	62	34	the	the	DET
dem-4200	62	35	k	k	PROPN
dem-4200	62	36	-	-	PUNCT
dem-4200	62	37	l	l	ADJ
dem-4200	62	38	best	good	ADJ
dem-4200	62	39	model	model	NOUN
dem-4200	62	40	for	for	ADP
dem-4200	62	41	the	the	DET
dem-4200	62	42	data	datum	NOUN
dem-4200	62	43	.	.	PUNCT
dem-4200	63	1	by	by	ADP
dem-4200	63	2	the	the	DET
dem-4200	63	3	aic	aic	PROPN
dem-4200	63	4	weights	weight	NOUN
dem-4200	63	5	we	we	PRON
dem-4200	63	6	mean	mean	VERB
dem-4200	63	7	the	the	DET
dem-4200	63	8	expression	expression	NOUN
dem-4200	63	9	(	(	PUNCT
dem-4200	63	10	6	6	NUM
dem-4200	63	11	)	)	PUNCT
dem-4200	63	12	with	with	ADP
dem-4200	63	13	the	the	DET
dem-4200	63	14	equal	equal	ADJ
dem-4200	63	15	prior	prior	ADJ
dem-4200	63	16	probabilities	probability	NOUN
dem-4200	63	17	,	,	PUNCT
dem-4200	63	18	i.e.	i.e.	X
dem-4200	63	19	./1	./1	X
dem-4200	63	20	rqi	rqi	NOUN
dem-4200	63	21	=	=	PUNCT
dem-4200	63	22	the	the	DET
dem-4200	63	23	inclusion	inclusion	NOUN
dem-4200	63	24	of	of	ADP
dem-4200	63	25	prior	prior	ADJ
dem-4200	63	26	probabilities	probability	NOUN
dem-4200	63	27	in	in	ADP
dem-4200	63	28	(	(	PUNCT
dem-4200	63	29	6	6	NUM
dem-4200	63	30	)	)	PUNCT
dem-4200	63	31	makes	make	VERB
dem-4200	63	32	that	that	SCONJ
dem-4200	63	33	the	the	DET
dem-4200	63	34	aic	aic	PROPN
dem-4200	63	35	weights	weight	NOUN
dem-4200	63	36	can	can	AUX
dem-4200	63	37	be	be	AUX
dem-4200	63	38	treated	treat	VERB
dem-4200	63	39	as	as	ADP
dem-4200	63	40	an	an	DET
dem-4200	63	41	approximation	approximation	NOUN
dem-4200	63	42	of	of	ADP
dem-4200	63	43	the	the	DET
dem-4200	63	44	bayesian	bayesian	ADJ
dem-4200	63	45	posterior	posterior	ADJ
dem-4200	63	46	model	model	NOUN
dem-4200	63	47	probability	probability	NOUN
dem-4200	63	48	(	(	PUNCT
dem-4200	63	49	burnham	burnham	PROPN
dem-4200	63	50	,	,	PUNCT
dem-4200	63	51	anderson	anderson	PROPN
dem-4200	63	52	,	,	PUNCT
dem-4200	63	53	2002	2002	NUM
dem-4200	63	54	,	,	PUNCT
dem-4200	63	55	2004	2004	NUM
dem-4200	63	56	)	)	PUNCT
dem-4200	63	57	.	.	PUNCT
dem-4200	64	1	however	however	ADV
dem-4200	64	2	,	,	PUNCT
dem-4200	64	3	it	it	PRON
dem-4200	64	4	is	be	AUX
dem-4200	64	5	not	not	PART
dem-4200	64	6	a	a	DET
dem-4200	64	7	true	true	ADJ
dem-4200	64	8	bayesian	bayesian	NOUN
dem-4200	64	9	approach	approach	NOUN
dem-4200	64	10	.	.	PUNCT
dem-4200	65	1	the	the	DET
dem-4200	65	2	full	full	ADJ
dem-4200	65	3	bayesian	bayesian	NOUN
dem-4200	65	4	approach	approach	NOUN
dem-4200	65	5	to	to	ADP
dem-4200	65	6	model	model	NOUN
dem-4200	65	7	selection	selection	NOUN
dem-4200	65	8	requires	require	VERB
dem-4200	65	9	both	both	CCONJ
dem-4200	65	10	the	the	DET
dem-4200	65	11	prior	prior	ADJ
dem-4200	65	12	iq	iq	NOUN
dem-4200	65	13	on	on	ADP
dem-4200	65	14	the	the	DET
dem-4200	65	15	model	model	NOUN
dem-4200	65	16	and	and	CCONJ
dem-4200	65	17	a	a	DET
dem-4200	65	18	prior	prior	ADJ
dem-4200	65	19	probability	probability	NOUN
dem-4200	65	20	distribution	distribution	NOUN
dem-4200	65	21	on	on	ADP
dem-4200	65	22	the	the	DET
dem-4200	65	23	parameter	parameter	NOUN
dem-4200	65	24	θ	θ	PROPN
dem-4200	65	25	in	in	ADP
dem-4200	65	26	model	model	NOUN
dem-4200	65	27	i	i	X
dem-4200	65	28	m	m	VERB
dem-4200	65	29	for	for	ADP
dem-4200	65	30	each	each	DET
dem-4200	65	31	model	model	NOUN
dem-4200	65	32	.	.	PUNCT
dem-4200	66	1	then	then	ADV
dem-4200	66	2	the	the	DET
dem-4200	66	3	derivation	derivation	NOUN
dem-4200	66	4	of	of	ADP
dem-4200	66	5	posterior	posterior	ADJ
dem-4200	66	6	results	result	NOUN
dem-4200	66	7	requires	require	VERB
dem-4200	66	8	integration	integration	NOUN
dem-4200	66	9	(	(	PUNCT
dem-4200	66	10	usually	usually	ADV
dem-4200	66	11	achievable	achievable	ADJ
dem-4200	66	12	only	only	ADV
dem-4200	66	13	by	by	ADP
dem-4200	66	14	markov	markov	NOUN
dem-4200	66	15	chain	chain	NOUN
dem-4200	66	16	monte	monte	PROPN
dem-4200	66	17	carlo	carlo	PROPN
dem-4200	66	18	methods	method	NOUN
dem-4200	66	19	)	)	PUNCT
dem-4200	66	20	.	.	PUNCT
dem-4200	67	1	in	in	ADP
dem-4200	67	2	that	that	DET
dem-4200	67	3	context	context	NOUN
dem-4200	67	4	the	the	DET
dem-4200	67	5	aic	aic	PROPN
dem-4200	67	6	weight	weight	NOUN
dem-4200	67	7	seem	seem	VERB
dem-4200	67	8	to	to	PART
dem-4200	67	9	be	be	AUX
dem-4200	67	10	useful	useful	ADJ
dem-4200	67	11	because	because	SCONJ
dem-4200	67	12	they	they	PRON
dem-4200	67	13	are	be	AUX
dem-4200	67	14	much	much	ADV
dem-4200	67	15	easier	easy	ADJ
dem-4200	67	16	to	to	PART
dem-4200	67	17	compute	compute	VERB
dem-4200	67	18	and	and	CCONJ
dem-4200	67	19	additionally	additionally	ADV
dem-4200	67	20	the	the	DET
dem-4200	67	21	researcher	researcher	NOUN
dem-4200	67	22	is	be	AUX
dem-4200	67	23	not	not	PART
dem-4200	67	24	required	require	VERB
dem-4200	67	25	to	to	PART
dem-4200	67	26	determine	determine	VERB
dem-4200	67	27	prior	prior	ADJ
dem-4200	67	28	densities	density	NOUN
dem-4200	67	29	for	for	ADP
dem-4200	67	30	the	the	DET
dem-4200	67	31	parameters	parameter	NOUN
dem-4200	67	32	.	.	PUNCT
dem-4200	68	1	2	2	NUM
dem-4200	68	2	it	it	PRON
dem-4200	68	3	is	be	AUX
dem-4200	68	4	the	the	DET
dem-4200	68	5	main	main	ADJ
dem-4200	68	6	difference	difference	NOUN
dem-4200	68	7	in	in	ADP
dem-4200	68	8	the	the	DET
dem-4200	68	9	comparison	comparison	NOUN
dem-4200	68	10	with	with	ADP
dem-4200	68	11	the	the	DET
dem-4200	68	12	bayesian	bayesian	NOUN
dem-4200	68	13	model	model	NOUN
dem-4200	68	14	averaging	averaging	NOUN
dem-4200	68	15	which	which	PRON
dem-4200	68	16	assumes	assume	VERB
dem-4200	68	17	that	that	SCONJ
dem-4200	68	18	the	the	DET
dem-4200	68	19	true	true	ADJ
dem-4200	68	20	generation	generation	NOUN
dem-4200	68	21	model	model	NOUN
dem-4200	68	22	is	be	AUX
dem-4200	68	23	in	in	ADP
dem-4200	68	24	the	the	DET
dem-4200	68	25	set	set	NOUN
dem-4200	68	26	of	of	ADP
dem-4200	68	27	candidate	candidate	NOUN
dem-4200	68	28	models	model	NOUN
dem-4200	68	29	and	and	CCONJ
dem-4200	68	30	measures	measure	NOUN
dem-4200	68	31	the	the	DET
dem-4200	68	32	degree	degree	NOUN
dem-4200	68	33	of	of	ADP
dem-4200	68	34	belief	belief	NOUN
dem-4200	68	35	that	that	SCONJ
dem-4200	68	36	a	a	DET
dem-4200	68	37	certain	certain	ADJ
dem-4200	68	38	model	model	NOUN
dem-4200	68	39	is	be	AUX
dem-4200	68	40	the	the	DET
dem-4200	68	41	true	true	ADJ
dem-4200	68	42	data	data	NOUN
dem-4200	68	43	-	-	PUNCT
dem-4200	68	44	generating	generate	VERB
dem-4200	68	45	model	model	NOUN
dem-4200	68	46	.	.	PUNCT
dem-4200	69	1	combined	combine	VERB
dem-4200	69	2	forecasts	forecast	NOUN
dem-4200	69	3	using	use	VERB
dem-4200	69	4	the	the	DET
dem-4200	69	5	akaike	akaike	ADJ
dem-4200	69	6	weights	weight	NOUN
dem-4200	69	7	9	9	NUM
dem-4200	69	8	3	3	NUM
dem-4200	69	9	.	.	PUNCT
dem-4200	70	1	the	the	DET
dem-4200	70	2	procedure	procedure	NOUN
dem-4200	70	3	of	of	ADP
dem-4200	70	4	obtaining	obtain	VERB
dem-4200	70	5	the	the	DET
dem-4200	70	6	combined	combine	VERB
dem-4200	70	7	forecasts	forecast	NOUN
dem-4200	70	8	using	use	VERB
dem-4200	70	9	the	the	DET
dem-4200	70	10	akaike	akaike	ADJ
dem-4200	70	11	weights	weight	NOUN
dem-4200	70	12	when	when	SCONJ
dem-4200	70	13	calculating	calculate	VERB
dem-4200	70	14	combined	combined	ADJ
dem-4200	70	15	forecasts	forecast	NOUN
dem-4200	70	16	using	use	VERB
dem-4200	70	17	the	the	DET
dem-4200	70	18	akaike	akaike	ADJ
dem-4200	70	19	weights	weight	NOUN
dem-4200	70	20	some	some	DET
dem-4200	70	21	conditions	condition	NOUN
dem-4200	70	22	should	should	AUX
dem-4200	70	23	be	be	AUX
dem-4200	70	24	satisfied	satisfied	ADJ
dem-4200	70	25	.	.	PUNCT
dem-4200	71	1	namely	namely	ADV
dem-4200	71	2	,	,	PUNCT
dem-4200	71	3	all	all	DET
dem-4200	71	4	models	model	NOUN
dem-4200	71	5	in	in	ADP
dem-4200	71	6	the	the	DET
dem-4200	71	7	set	set	NOUN
dem-4200	71	8	of	of	ADP
dem-4200	71	9	candidate	candidate	NOUN
dem-4200	71	10	models	model	NOUN
dem-4200	71	11	should	should	AUX
dem-4200	71	12	be	be	AUX
dem-4200	71	13	fitted	fit	VERB
dem-4200	71	14	to	to	ADP
dem-4200	71	15	exactly	exactly	ADV
dem-4200	71	16	the	the	DET
dem-4200	71	17	same	same	ADJ
dem-4200	71	18	set	set	NOUN
dem-4200	71	19	of	of	ADP
dem-4200	71	20	data	datum	NOUN
dem-4200	71	21	because	because	SCONJ
dem-4200	71	22	the	the	DET
dem-4200	71	23	inference	inference	NOUN
dem-4200	71	24	based	base	VERB
dem-4200	71	25	on	on	ADP
dem-4200	71	26	information	information	NOUN
dem-4200	71	27	criteria	criterion	NOUN
dem-4200	71	28	is	be	AUX
dem-4200	71	29	conditional	conditional	ADJ
dem-4200	71	30	on	on	ADP
dem-4200	71	31	the	the	DET
dem-4200	71	32	data	datum	NOUN
dem-4200	71	33	in	in	ADP
dem-4200	71	34	hand	hand	NOUN
dem-4200	71	35	.	.	PUNCT
dem-4200	72	1	moreover	moreover	ADV
dem-4200	72	2	,	,	PUNCT
dem-4200	72	3	all	all	DET
dem-4200	72	4	models	model	NOUN
dem-4200	72	5	in	in	ADP
dem-4200	72	6	the	the	DET
dem-4200	72	7	set	set	NOUN
dem-4200	72	8	should	should	AUX
dem-4200	72	9	represent	represent	VERB
dem-4200	72	10	the	the	DET
dem-4200	72	11	same	same	ADJ
dem-4200	72	12	response	response	NOUN
dem-4200	72	13	variable	variable	NOUN
dem-4200	72	14	.	.	PUNCT
dem-4200	73	1	a	a	DET
dem-4200	73	2	common	common	ADJ
dem-4200	73	3	type	type	NOUN
dem-4200	73	4	of	of	ADP
dem-4200	73	5	mistake	mistake	NOUN
dem-4200	73	6	is	be	AUX
dem-4200	73	7	to	to	PART
dem-4200	73	8	compare	compare	VERB
dem-4200	73	9	models	model	NOUN
dem-4200	73	10	of	of	ADP
dem-4200	73	11	ty	ty	NUM
dem-4200	73	12	with	with	ADP
dem-4200	73	13	models	model	NOUN
dem-4200	73	14	of	of	ADP
dem-4200	73	15	transformed	transform	VERB
dem-4200	73	16	variable	variable	NOUN
dem-4200	73	17	,	,	PUNCT
dem-4200	73	18	e.g.	e.g.	ADV
dem-4200	73	19	tyln	tyln	NOUN
dem-4200	73	20	or	or	CCONJ
dem-4200	73	21	.tyδ	.tyδ	NOUN
dem-4200	73	22	the	the	DET
dem-4200	73	23	steps	step	NOUN
dem-4200	73	24	in	in	ADP
dem-4200	73	25	the	the	DET
dem-4200	73	26	procedure	procedure	NOUN
dem-4200	73	27	of	of	ADP
dem-4200	73	28	obtaining	obtain	VERB
dem-4200	73	29	forecasts	forecast	NOUN
dem-4200	73	30	aggregated	aggregate	VERB
dem-4200	73	31	with	with	ADP
dem-4200	73	32	the	the	DET
dem-4200	73	33	akaike	akaike	ADJ
dem-4200	73	34	weights	weight	NOUN
dem-4200	73	35	are	be	AUX
dem-4200	73	36	following	follow	VERB
dem-4200	73	37	.	.	PUNCT
dem-4200	74	1	step	step	NOUN
dem-4200	74	2	1	1	NUM
dem-4200	74	3	.	.	PUNCT
dem-4200	75	1	establishing	establish	VERB
dem-4200	75	2	the	the	DET
dem-4200	75	3	initial	initial	ADJ
dem-4200	75	4	set	set	NOUN
dem-4200	75	5	of	of	ADP
dem-4200	75	6	r	r	NOUN
dem-4200	75	7	models	model	NOUN
dem-4200	75	8	describing	describe	VERB
dem-4200	75	9	a	a	DET
dem-4200	75	10	given	give	VERB
dem-4200	75	11	variable	variable	NOUN
dem-4200	75	12	and	and	CCONJ
dem-4200	75	13	their	their	PRON
dem-4200	75	14	specification	specification	NOUN
dem-4200	75	15	.	.	PUNCT
dem-4200	76	1	the	the	DET
dem-4200	76	2	guidelines	guideline	NOUN
dem-4200	76	3	on	on	ADP
dem-4200	76	4	specifying	specify	VERB
dem-4200	76	5	causal	causal	ADJ
dem-4200	76	6	models	model	NOUN
dem-4200	76	7	should	should	AUX
dem-4200	76	8	be	be	AUX
dem-4200	76	9	derived	derive	VERB
dem-4200	76	10	from	from	ADP
dem-4200	76	11	an	an	DET
dem-4200	76	12	economic	economic	ADJ
dem-4200	76	13	theory	theory	NOUN
dem-4200	76	14	explaining	explain	VERB
dem-4200	76	15	the	the	DET
dem-4200	76	16	phenomenon	phenomenon	NOUN
dem-4200	76	17	in	in	ADP
dem-4200	76	18	interest	interest	NOUN
dem-4200	76	19	.	.	PUNCT
dem-4200	77	1	in	in	ADP
dem-4200	77	2	the	the	DET
dem-4200	77	3	case	case	NOUN
dem-4200	77	4	of	of	ADP
dem-4200	77	5	large	large	ADJ
dem-4200	77	6	number	number	NOUN
dem-4200	77	7	of	of	ADP
dem-4200	77	8	variables	variable	NOUN
dem-4200	77	9	it	it	PRON
dem-4200	77	10	is	be	AUX
dem-4200	77	11	not	not	PART
dem-4200	77	12	recommended	recommend	VERB
dem-4200	77	13	to	to	PART
dem-4200	77	14	run	run	VERB
dem-4200	77	15	all	all	DET
dem-4200	77	16	possible	possible	ADJ
dem-4200	77	17	regressions	regression	NOUN
dem-4200	77	18	because	because	SCONJ
dem-4200	77	19	the	the	DET
dem-4200	77	20	set	set	NOUN
dem-4200	77	21	of	of	ADP
dem-4200	77	22	candidate	candidate	NOUN
dem-4200	77	23	models	model	NOUN
dem-4200	77	24	should	should	AUX
dem-4200	77	25	be	be	AUX
dem-4200	77	26	plausible	plausible	ADJ
dem-4200	77	27	with	with	ADP
dem-4200	77	28	respect	respect	NOUN
dem-4200	77	29	to	to	ADP
dem-4200	77	30	the	the	DET
dem-4200	77	31	economic	economic	ADJ
dem-4200	77	32	theory	theory	NOUN
dem-4200	77	33	,	,	PUNCT
dem-4200	77	34	and	and	CCONJ
dem-4200	77	35	not	not	PART
dem-4200	77	36	be	be	AUX
dem-4200	77	37	automatically	automatically	ADV
dem-4200	77	38	selected	select	VERB
dem-4200	77	39	.	.	PUNCT
dem-4200	78	1	the	the	DET
dem-4200	78	2	true	true	ADJ
dem-4200	78	3	generation	generation	NOUN
dem-4200	78	4	model	model	NOUN
dem-4200	78	5	does	do	AUX
dem-4200	78	6	not	not	PART
dem-4200	78	7	have	have	VERB
dem-4200	78	8	to	to	PART
dem-4200	78	9	be	be	AUX
dem-4200	78	10	included	include	VERB
dem-4200	78	11	in	in	ADP
dem-4200	78	12	the	the	DET
dem-4200	78	13	set	set	NOUN
dem-4200	78	14	of	of	ADP
dem-4200	78	15	models	model	NOUN
dem-4200	78	16	.	.	PUNCT
dem-4200	79	1	step	step	NOUN
dem-4200	79	2	2	2	NUM
dem-4200	79	3	.	.	PUNCT
dem-4200	80	1	fitting	fit	VERB
dem-4200	80	2	the	the	DET
dem-4200	80	3	models	model	NOUN
dem-4200	80	4	)	)	PUNCT
dem-4200	80	5	...	...	PUNCT
dem-4200	80	6	,	,	PUNCT
dem-4200	80	7	,	,	PUNCT
dem-4200	80	8	2,1	2,1	NUM
dem-4200	80	9	(	(	PUNCT
dem-4200	80	10	ri	ri	NOUN
dem-4200	80	11	=	=	PUNCT
dem-4200	80	12	to	to	ADP
dem-4200	80	13	the	the	DET
dem-4200	80	14	data	datum	NOUN
dem-4200	80	15	,	,	PUNCT
dem-4200	80	16	calculating	calculate	VERB
dem-4200	80	17	the	the	DET
dem-4200	80	18	aic	aic	PROPN
dem-4200	80	19	values	value	NOUN
dem-4200	80	20	and	and	CCONJ
dem-4200	80	21	differences	difference	NOUN
dem-4200	80	22	.iδ	.iδ	NUM
dem-4200	81	1	models	model	NOUN
dem-4200	81	2	should	should	AUX
dem-4200	81	3	satisfy	satisfy	VERB
dem-4200	81	4	statistical	statistical	ADJ
dem-4200	81	5	and	and	CCONJ
dem-4200	81	6	economic	economic	ADJ
dem-4200	81	7	requirements	requirement	NOUN
dem-4200	81	8	.	.	PUNCT
dem-4200	82	1	step	step	NOUN
dem-4200	82	2	3	3	NUM
dem-4200	82	3	.	.	PUNCT
dem-4200	83	1	creating	create	VERB
dem-4200	83	2	the	the	DET
dem-4200	83	3	reduced	reduce	VERB
dem-4200	83	4	set	set	NOUN
dem-4200	83	5	of	of	ADP
dem-4200	83	6	models	model	NOUN
dem-4200	83	7	)	)	PUNCT
dem-4200	83	8	...	...	PUNCT
dem-4200	84	1	,	,	PUNCT
dem-4200	84	2	,	,	PUNCT
dem-4200	84	3	2,1	2,1	NUM
dem-4200	84	4	(	(	PUNCT
dem-4200	84	5	*	*	NOUN
dem-4200	84	6	ri	ri	NOUN
dem-4200	84	7	=	=	PUNCT
dem-4200	84	8	for	for	ADP
dem-4200	84	9	which	which	PRON
dem-4200	84	10	,	,	PUNCT
dem-4200	84	11	4	4	NUM
dem-4200	84	12	<	<	X
dem-4200	84	13	δ	δ	X
dem-4200	84	14	i	i	PRON
dem-4200	84	15	i.e.	i.e.	X
dem-4200	84	16	models	model	NOUN
dem-4200	84	17	plausible	plausible	ADJ
dem-4200	84	18	in	in	ADP
dem-4200	84	19	the	the	DET
dem-4200	84	20	sense	sense	NOUN
dem-4200	84	21	of	of	ADP
dem-4200	84	22	k	k	PROPN
dem-4200	84	23	-	-	ADJ
dem-4200	84	24	l	l	NOUN
dem-4200	84	25	information	information	NOUN
dem-4200	84	26	.	.	PUNCT
dem-4200	85	1	step	step	NOUN
dem-4200	85	2	4	4	NUM
dem-4200	85	3	.	.	PUNCT
dem-4200	85	4	calculating	calculate	VERB
dem-4200	85	5	the	the	DET
dem-4200	85	6	akaike	akaike	ADJ
dem-4200	85	7	weights	weight	NOUN
dem-4200	85	8	(	(	PUNCT
dem-4200	85	9	eq	eq	NOUN
dem-4200	85	10	.	.	PUNCT
dem-4200	86	1	(	(	PUNCT
dem-4200	86	2	4	4	NUM
dem-4200	86	3	)	)	PUNCT
dem-4200	86	4	)	)	PUNCT
dem-4200	87	1	and	and	CCONJ
dem-4200	87	2	combined	combine	VERB
dem-4200	87	3	forecasts	forecast	NOUN
dem-4200	87	4	according	accord	VERB
dem-4200	87	5	to	to	ADP
dem-4200	87	6	formula	formula	NOUN
dem-4200	87	7	:	:	PUNCT
dem-4200	87	8	∑	∑	PUNCT
dem-4200	87	9	=	=	PUNCT
dem-4200	88	1	+	+	PROPN
dem-4200	88	2	+	+	NOUN
dem-4200	88	3	=	=	SYM
dem-4200	88	4	*	*	SYM
dem-4200	88	5	1	1	NUM
dem-4200	88	6	,	,	PUNCT
dem-4200	88	7	,	,	PUNCT
dem-4200	88	8	,	,	PUNCT
dem-4200	88	9	,	,	PUNCT
dem-4200	88	10	ˆ	ˆ	DET
dem-4200	88	11	r	r	NOUN
dem-4200	88	12	i	i	PRON
dem-4200	88	13	htihihtt	htihihtt	VERB
dem-4200	88	14	fwy	fwy	PROPN
dem-4200	88	15	,	,	PUNCT
dem-4200	88	16	1	1	NUM
dem-4200	88	17	*	*	SYM
dem-4200	88	18	1	1	NUM
dem-4200	88	19	,	,	PUNCT
dem-4200	88	20	=	=	NOUN
dem-4200	88	21	∑	∑	PUNCT
dem-4200	88	22	=	=	SYM
dem-4200	88	23	r	r	NOUN
dem-4200	88	24	i	i	PRON
dem-4200	88	25	hiw	hiw	NOUN
dem-4200	88	26	(	(	PUNCT
dem-4200	88	27	7	7	NUM
dem-4200	88	28	)	)	PUNCT
dem-4200	88	29	where	where	SCONJ
dem-4200	88	30	htty	htty	NOUN
dem-4200	88	31	+	+	PROPN
dem-4200	88	32	,	,	PUNCT
dem-4200	88	33	ˆ	ˆ	PROPN
dem-4200	88	34	–	–	PUNCT
dem-4200	88	35	combined	combine	VERB
dem-4200	88	36	forecast	forecast	NOUN
dem-4200	88	37	,	,	PUNCT
dem-4200	88	38	hiw	hiw	PROPN
dem-4200	88	39	,	,	PUNCT
dem-4200	88	40	–	–	PUNCT
dem-4200	88	41	the	the	DET
dem-4200	88	42	weight	weight	NOUN
dem-4200	88	43	assigned	assign	VERB
dem-4200	88	44	to	to	ADP
dem-4200	88	45	the	the	DET
dem-4200	88	46	forecast	forecast	NOUN
dem-4200	88	47	httif	httif	NOUN
dem-4200	89	1	+	+	ADV
dem-4200	89	2	,	,	PUNCT
dem-4200	89	3	,	,	PUNCT
dem-4200	89	4	based	base	VERB
dem-4200	89	5	on	on	ADP
dem-4200	89	6	the	the	DET
dem-4200	89	7	ith	ith	PROPN
dem-4200	89	8	individual	individual	ADJ
dem-4200	89	9	model	model	PROPN
dem-4200	89	10	.	.	PUNCT
dem-4200	90	1	when	when	SCONJ
dem-4200	90	2	combining	combine	VERB
dem-4200	90	3	forecasts	forecast	NOUN
dem-4200	90	4	the	the	DET
dem-4200	90	5	problem	problem	NOUN
dem-4200	90	6	is	be	AUX
dem-4200	90	7	to	to	PART
dem-4200	90	8	estimate	estimate	VERB
dem-4200	90	9	the	the	DET
dem-4200	90	10	weights	weight	NOUN
dem-4200	90	11	,	,	PUNCT
dem-4200	90	12	,	,	PUNCT
dem-4200	90	13	hiw	hiw	NOUN
dem-4200	90	14	so	so	SCONJ
dem-4200	90	15	as	as	SCONJ
dem-4200	90	16	to	to	PART
dem-4200	90	17	minimize	minimize	VERB
dem-4200	90	18	a	a	DET
dem-4200	90	19	penalty	penalty	NOUN
dem-4200	90	20	function	function	NOUN
dem-4200	90	21	depending	depend	VERB
dem-4200	90	22	on	on	ADP
dem-4200	90	23	the	the	DET
dem-4200	90	24	forecast	forecast	NOUN
dem-4200	90	25	errors	error	NOUN
dem-4200	90	26	.	.	PUNCT
dem-4200	91	1	very	very	ADV
dem-4200	91	2	often	often	ADV
dem-4200	91	3	,	,	PUNCT
dem-4200	91	4	the	the	DET
dem-4200	91	5	penalty	penalty	NOUN
dem-4200	91	6	function	function	NOUN
dem-4200	91	7	is	be	AUX
dem-4200	91	8	simply	simply	ADV
dem-4200	91	9	the	the	DET
dem-4200	91	10	mean	mean	ADJ
dem-4200	91	11	square	square	PROPN
dem-4200	91	12	forecast	forecast	NOUN
dem-4200	91	13	error	error	NOUN
dem-4200	91	14	(	(	PUNCT
dem-4200	91	15	msfe	msfe	PROPN
dem-4200	91	16	)	)	PUNCT
dem-4200	91	17	.	.	PUNCT
dem-4200	92	1	4	4	X
dem-4200	92	2	.	.	X
dem-4200	92	3	simulation	simulation	NOUN
dem-4200	92	4	experiment	experiment	NOUN
dem-4200	92	5	results	result	VERB
dem-4200	92	6	the	the	DET
dem-4200	92	7	purpose	purpose	NOUN
dem-4200	92	8	of	of	ADP
dem-4200	92	9	simulation	simulation	NOUN
dem-4200	92	10	experiment	experiment	NOUN
dem-4200	92	11	is	be	AUX
dem-4200	92	12	to	to	PART
dem-4200	92	13	compare	compare	VERB
dem-4200	92	14	combining	combine	VERB
dem-4200	92	15	forecasts	forecast	NOUN
dem-4200	92	16	(	(	PUNCT
dem-4200	92	17	using	use	VERB
dem-4200	92	18	the	the	DET
dem-4200	92	19	akaike	akaike	ADJ
dem-4200	92	20	weights	weight	NOUN
dem-4200	92	21	and	and	CCONJ
dem-4200	92	22	equal	equal	ADJ
dem-4200	92	23	weights	weight	NOUN
dem-4200	92	24	)	)	PUNCT
dem-4200	92	25	with	with	ADP
dem-4200	92	26	individual	individual	ADJ
dem-4200	92	27	forecasts	forecast	NOUN
dem-4200	92	28	obtained	obtain	VERB
dem-4200	92	29	from	from	ADP
dem-4200	92	30	the	the	DET
dem-4200	92	31	best	good	ADJ
dem-4200	92	32	model	model	NOUN
dem-4200	92	33	selected	select	VERB
dem-4200	92	34	according	accord	VERB
dem-4200	92	35	to	to	ADP
dem-4200	92	36	:	:	PUNCT
dem-4200	92	37	(	(	PUNCT
dem-4200	92	38	1	1	X
dem-4200	92	39	)	)	PUNCT
dem-4200	92	40	the	the	DET
dem-4200	92	41	akaike	akaike	ADJ
dem-4200	92	42	information	information	NOUN
dem-4200	92	43	criterion	criterion	NOUN
dem-4200	92	44	mariola	mariola	PROPN
dem-4200	92	45	piłatowska	piłatowska	PROPN
dem-4200	92	46	10	10	NUM
dem-4200	92	47	and	and	CCONJ
dem-4200	92	48	(	(	PUNCT
dem-4200	92	49	2	2	X
dem-4200	92	50	)	)	PUNCT
dem-4200	92	51	traditional	traditional	ADJ
dem-4200	92	52	hypothesis	hypothesis	NOUN
dem-4200	92	53	testing	testing	NOUN
dem-4200	92	54	.	.	PUNCT
dem-4200	93	1	in	in	ADP
dem-4200	93	2	experiment	experiment	NOUN
dem-4200	93	3	the	the	DET
dem-4200	93	4	autoregressive	autoregressive	ADJ
dem-4200	93	5	models	model	NOUN
dem-4200	93	6	and	and	CCONJ
dem-4200	93	7	causal	causal	NOUN
dem-4200	93	8	models	model	NOUN
dem-4200	93	9	are	be	AUX
dem-4200	93	10	taken	take	VERB
dem-4200	93	11	as	as	ADP
dem-4200	93	12	approximating	approximate	VERB
dem-4200	93	13	models	model	NOUN
dem-4200	93	14	provided	provide	VERB
dem-4200	93	15	that	that	SCONJ
dem-4200	93	16	the	the	DET
dem-4200	93	17	data	data	NOUN
dem-4200	93	18	generating	generating	NOUN
dem-4200	93	19	model	model	NOUN
dem-4200	93	20	is	be	AUX
dem-4200	93	21	unknown	unknown	ADJ
dem-4200	93	22	.	.	PUNCT
dem-4200	94	1	simulation	simulation	NOUN
dem-4200	94	2	scenario	scenario	PROPN
dem-4200	94	3	is	be	AUX
dem-4200	94	4	following	follow	VERB
dem-4200	94	5	.	.	PUNCT
dem-4200	95	1	the	the	DET
dem-4200	95	2	data	data	NOUN
dem-4200	95	3	-	-	PUNCT
dem-4200	95	4	generating	generate	VERB
dem-4200	95	5	model	model	NOUN
dem-4200	95	6	of	of	ADP
dem-4200	95	7	ty	ty	PRON
dem-4200	95	8	has	have	VERB
dem-4200	95	9	the	the	DET
dem-4200	95	10	form	form	NOUN
dem-4200	95	11	:	:	PUNCT
dem-4200	95	12	,	,	PUNCT
dem-4200	95	13	,	,	PUNCT
dem-4200	95	14	33,22,110	33,22,110	NUM
dem-4200	95	15	ttttt	ttttt	NOUN
dem-4200	95	16	xxxy	xxxy	PROPN
dem-4200	95	17	εββββ	εββββ	VERB
dem-4200	96	1	+	+	PROPN
dem-4200	97	1	+	+	ADJ
dem-4200	97	2	+	+	ADJ
dem-4200	97	3	+	+	NOUN
dem-4200	97	4	=	=	SYM
dem-4200	97	5	)	)	PUNCT
dem-4200	97	6	,	,	PUNCT
dem-4200	97	7	,	,	PUNCT
dem-4200	97	8	0(~	0(~	NUM
dem-4200	97	9	εσε	εσε	NOUN
dem-4200	97	10	nt	not	PART
dem-4200	97	11	,	,	PUNCT
dem-4200	97	12	3,2,1	3,2,1	NUM
dem-4200	97	13	=	=	NOUN
dem-4200	97	14	εσ	εσ	NOUN
dem-4200	97	15	with	with	ADP
dem-4200	97	16	parameters	parameter	NOUN
dem-4200	97	17	:	:	PUNCT
dem-4200	97	18	2,2.1,5.1,10	2,2.1,5.1,10	NUM
dem-4200	97	19	3210	3210	NUM
dem-4200	97	20	=	=	PUNCT
dem-4200	98	1	=	=	SYM
dem-4200	98	2	=	=	NOUN
dem-4200	98	3	=	=	NOUN
dem-4200	98	4	ββββ	ββββ	VERB
dem-4200	98	5	,	,	PUNCT
dem-4200	98	6	for	for	ADP
dem-4200	98	7	samples	sample	NOUN
dem-4200	98	8	:	:	PUNCT
dem-4200	98	9	50,100	50,100	NUM
dem-4200	98	10	=	=	SYM
dem-4200	98	11	n	n	PRON
dem-4200	98	12	(	(	PUNCT
dem-4200	98	13	number	number	NOUN
dem-4200	98	14	of	of	ADP
dem-4200	98	15	replications	replication	NOUN
dem-4200	98	16	1000	1000	NUM
dem-4200	98	17	=	=	NOUN
dem-4200	98	18	m	m	NOUN
dem-4200	98	19	)	)	PUNCT
dem-4200	98	20	.	.	PUNCT
dem-4200	99	1	processes	process	VERB
dem-4200	99	2	tt	tt	PROPN
dem-4200	99	3	xx	xx	NUM
dem-4200	99	4	,	,	PUNCT
dem-4200	99	5	2,1	2,1	NUM
dem-4200	99	6	,	,	PUNCT
dem-4200	99	7	and	and	CCONJ
dem-4200	99	8	tx	tx	PROPN
dem-4200	99	9	,	,	PUNCT
dem-4200	99	10	3	3	NUM
dem-4200	99	11	have	have	AUX
dem-4200	99	12	following	follow	VERB
dem-4200	99	13	structure	structure	NOUN
dem-4200	99	14	:	:	PUNCT
dem-4200	99	15	,	,	PUNCT
dem-4200	99	16	6.08.012	6.08.012	PROPN
dem-4200	99	17	11,1,1	11,1,1	NUM
dem-4200	99	18	−−	−−	NOUN
dem-4200	99	19	+	+	PROPN
dem-4200	100	1	+	+	ADJ
dem-4200	100	2	+	+	NOUN
dem-4200	100	3	=	=	SYM
dem-4200	100	4	tttt	tttt	X
dem-4200	100	5	xx	xx	NUM
dem-4200	100	6	ζζ	ζζ	PROPN
dem-4200	100	7	)	)	PUNCT
dem-4200	100	8	,	,	PUNCT
dem-4200	100	9	1,0(~	1,0(~	NUM
dem-4200	100	10	ntζ	ntζ	NOUN
dem-4200	100	11	,	,	PUNCT
dem-4200	100	12	8.07.014	8.07.014	PROPN
dem-4200	100	13	11,2,2	11,2,2	NUM
dem-4200	100	14	−−	−−	NOUN
dem-4200	100	15	+	+	PROPN
dem-4200	100	16	+	+	ADJ
dem-4200	100	17	+	+	NOUN
dem-4200	100	18	=	=	NOUN
dem-4200	100	19	tttt	tttt	X
dem-4200	100	20	xx	xx	NUM
dem-4200	100	21	ηη	ηη	PROPN
dem-4200	100	22	)	)	PUNCT
dem-4200	100	23	,	,	PUNCT
dem-4200	100	24	1,0(~	1,0(~	NUM
dem-4200	100	25	ntη	ntη	ADV
dem-4200	100	26	,	,	PUNCT
dem-4200	100	27	4.02.18	4.02.18	NUM
dem-4200	100	28	2,31,3,3	2,31,3,3	NOUN
dem-4200	100	29	tttt	tttt	VERB
dem-4200	100	30	xxx	xxx	PROPN
dem-4200	100	31	ξ+−+=	ξ+−+=	PROPN
dem-4200	100	32	−−	−−	NOUN
dem-4200	100	33	)	)	PUNCT
dem-4200	100	34	.1,0(~	.1,0(~	PUNCT
dem-4200	101	1	ntξ	ntξ	NOUN
dem-4200	101	2	as	as	SCONJ
dem-4200	101	3	approximating	approximate	VERB
dem-4200	101	4	models	model	NOUN
dem-4200	101	5	are	be	AUX
dem-4200	101	6	taken	take	VERB
dem-4200	101	7	:	:	PUNCT
dem-4200	101	8	the	the	DET
dem-4200	101	9	autoregressive	autoregressive	ADJ
dem-4200	101	10	models	model	NOUN
dem-4200	101	11	:	:	PUNCT
dem-4200	101	12	,	,	PUNCT
dem-4200	101	13	...	...	PUNCT
dem-4200	101	14	110	110	NUM
dem-4200	101	15	qtqtt	qtqtt	VERB
dem-4200	101	16	yyy	yyy	PROPN
dem-4200	101	17	−−	−−	PROPN
dem-4200	101	18	+	+	PROPN
dem-4200	102	1	+	+	PROPN
dem-4200	102	2	+	+	NOUN
dem-4200	102	3	=	=	ADJ
dem-4200	102	4	γγγ	γγγ	NUM
dem-4200	102	5	,	,	PUNCT
dem-4200	102	6	4,3,2,1	4,3,2,1	NUM
dem-4200	102	7	=	=	NOUN
dem-4200	102	8	q	q	NOUN
dem-4200	102	9	and	and	CCONJ
dem-4200	102	10	causal	causal	ADJ
dem-4200	102	11	models3	models3	NOUN
dem-4200	102	12	:	:	PUNCT
dem-4200	102	13	tttttttt	tttttttt	NOUN
dem-4200	102	14	vxxyyyyy	vxxyyyyy	PROPN
dem-4200	103	1	+	+	PROPN
dem-4200	103	2	+	+	PROPN
dem-4200	103	3	+	+	ADJ
dem-4200	103	4	+	+	ADJ
dem-4200	103	5	+	+	ADJ
dem-4200	103	6	+	+	ADJ
dem-4200	103	7	+	+	NOUN
dem-4200	103	8	=	=	NOUN
dem-4200	103	9	−−−−−	−−−−−	SYM
dem-4200	103	10	1,12,11443322110	1,12,11443322110	NUM
dem-4200	103	11	γγααααα	γγααααα	NOUN
dem-4200	103	12	(	(	PUNCT
dem-4200	103	13	m1	m1	NOUN
dem-4200	103	14	)	)	PUNCT
dem-4200	103	15	ttttttt	ttttttt	PROPN
dem-4200	103	16	vxxyyyy	vxxyyyy	VERB
dem-4200	103	17	+	+	PROPN
dem-4200	103	18	+	+	ADJ
dem-4200	103	19	+	+	ADJ
dem-4200	103	20	+	+	ADJ
dem-4200	103	21	+	+	ADJ
dem-4200	103	22	+	+	ADJ
dem-4200	103	23	=	=	ADJ
dem-4200	103	24	−−−−	−−−−	SYM
dem-4200	103	25	1,12,113322110	1,12,113322110	NUM
dem-4200	103	26	γγαααα	γγαααα	NOUN
dem-4200	103	27	(	(	PUNCT
dem-4200	103	28	m2	m2	PROPN
dem-4200	103	29	)	)	PUNCT
dem-4200	103	30	tttttt	tttttt	NOUN
dem-4200	103	31	vxxyyy	vxxyyy	NOUN
dem-4200	103	32	+	+	PROPN
dem-4200	103	33	+	+	ADJ
dem-4200	103	34	+	+	ADJ
dem-4200	103	35	+	+	ADJ
dem-4200	103	36	+	+	NOUN
dem-4200	103	37	=	=	NOUN
dem-4200	103	38	−−−	−−−	NOUN
dem-4200	103	39	1,12,1122110	1,12,1122110	NUM
dem-4200	103	40	γγααα	γγααα	ADV
dem-4200	103	41	(	(	PUNCT
dem-4200	103	42	m3	m3	PROPN
dem-4200	103	43	)	)	PUNCT
dem-4200	103	44	.1,12,11110	.1,12,11110	PUNCT
dem-4200	104	1	ttttt	ttttt	NOUN
dem-4200	104	2	vxxyy	vxxyy	VERB
dem-4200	104	3	+	+	PROPN
dem-4200	104	4	+	+	ADJ
dem-4200	104	5	+	+	ADJ
dem-4200	104	6	+	+	ADJ
dem-4200	104	7	=	=	ADJ
dem-4200	104	8	−−	−−	NOUN
dem-4200	104	9	γγαα	γγαα	NOUN
dem-4200	104	10	(	(	PUNCT
dem-4200	104	11	m4	m4	PROPN
dem-4200	104	12	)	)	PUNCT
dem-4200	104	13	,	,	PUNCT
dem-4200	104	14	,	,	PUNCT
dem-4200	104	15	1122110	1122110	NUM
dem-4200	104	16	ttttt	ttttt	NOUN
dem-4200	104	17	vxyyy	vxyyy	NOUN
dem-4200	104	18	+	+	PROPN
dem-4200	104	19	+	+	ADJ
dem-4200	104	20	+	+	ADJ
dem-4200	104	21	+	+	ADJ
dem-4200	104	22	=	=	ADJ
dem-4200	104	23	−−	−−	NOUN
dem-4200	104	24	γααα	γααα	ADJ
dem-4200	104	25	(	(	PUNCT
dem-4200	104	26	m5	m5	PROPN
dem-4200	104	27	)	)	PUNCT
dem-4200	104	28	.,11110	.,11110	PROPN
dem-4200	104	29	tttt	tttt	NOUN
dem-4200	104	30	vxyy	vxyy	VERB
dem-4200	105	1	+	+	PROPN
dem-4200	105	2	+	+	ADJ
dem-4200	105	3	+	+	NOUN
dem-4200	105	4	=	=	SYM
dem-4200	105	5	−	−	ADJ
dem-4200	105	6	γαα	γαα	NOUN
dem-4200	105	7	(	(	PUNCT
dem-4200	105	8	m6	m6	PROPN
dem-4200	105	9	)	)	PUNCT
dem-4200	105	10	it	it	PRON
dem-4200	105	11	is	be	AUX
dem-4200	105	12	assumed	assume	VERB
dem-4200	105	13	that	that	SCONJ
dem-4200	105	14	the	the	DET
dem-4200	105	15	true	true	ADJ
dem-4200	105	16	generation	generation	NOUN
dem-4200	105	17	model	model	NOUN
dem-4200	105	18	is	be	AUX
dem-4200	105	19	unknown	unknown	ADJ
dem-4200	105	20	,	,	PUNCT
dem-4200	105	21	therefore	therefore	ADV
dem-4200	105	22	specifying	specify	VERB
dem-4200	105	23	the	the	DET
dem-4200	105	24	causal	causal	NOUN
dem-4200	105	25	models	model	NOUN
dem-4200	105	26	the	the	DET
dem-4200	105	27	variables	variable	NOUN
dem-4200	105	28	tx	tx	VERB
dem-4200	105	29	,	,	PUNCT
dem-4200	105	30	2	2	NUM
dem-4200	105	31	and	and	CCONJ
dem-4200	105	32	tx	tx	PROPN
dem-4200	105	33	,	,	PUNCT
dem-4200	105	34	3	3	NUM
dem-4200	105	35	were	be	AUX
dem-4200	105	36	omitted	omit	VERB
dem-4200	105	37	.	.	PUNCT
dem-4200	106	1	the	the	DET
dem-4200	106	2	analysis	analysis	NOUN
dem-4200	106	3	was	be	AUX
dem-4200	106	4	carried	carry	VERB
dem-4200	106	5	out	out	ADP
dem-4200	106	6	separately	separately	ADV
dem-4200	106	7	for	for	ADP
dem-4200	106	8	autoregressive	autoregressive	ADJ
dem-4200	106	9	models	model	NOUN
dem-4200	106	10	and	and	CCONJ
dem-4200	106	11	causal	causal	ADJ
dem-4200	106	12	models	model	NOUN
dem-4200	106	13	.	.	PUNCT
dem-4200	107	1	in	in	ADP
dem-4200	107	2	each	each	DET
dem-4200	107	3	replication	replication	NOUN
dem-4200	107	4	only	only	ADV
dem-4200	107	5	the	the	DET
dem-4200	107	6	models	model	NOUN
dem-4200	107	7	with	with	ADP
dem-4200	107	8	4	4	NUM
dem-4200	107	9	<	<	NOUN
dem-4200	107	10	δ	δ	NOUN
dem-4200	107	11	i	i	PRON
dem-4200	107	12	were	be	AUX
dem-4200	107	13	taken	take	VERB
dem-4200	107	14	.	.	PUNCT
dem-4200	108	1	for	for	ADP
dem-4200	108	2	those	those	DET
dem-4200	108	3	models	model	NOUN
dem-4200	108	4	the	the	DET
dem-4200	108	5	akaike	akaike	ADJ
dem-4200	108	6	weights	weight	NOUN
dem-4200	108	7	and	and	CCONJ
dem-4200	108	8	equal	equal	ADJ
dem-4200	108	9	weight	weight	NOUN
dem-4200	108	10	)	)	PUNCT
dem-4200	108	11	/1	/1	PROPN
dem-4200	108	12	(	(	PUNCT
dem-4200	108	13	*	*	PUNCT
dem-4200	108	14	r	r	NOUN
dem-4200	108	15	were	be	AUX
dem-4200	108	16	received	receive	VERB
dem-4200	108	17	,	,	PUNCT
dem-4200	108	18	and	and	CCONJ
dem-4200	108	19	having	having	AUX
dem-4200	108	20	calculated	calculate	VERB
dem-4200	108	21	the	the	DET
dem-4200	108	22	individual4	individual4	NOUN
dem-4200	108	23	forecasts	forecast	NOUN
dem-4200	108	24	,	,	PUNCT
dem-4200	108	25	the	the	DET
dem-4200	108	26	h	h	NOUN
dem-4200	108	27	-	-	PUNCT
dem-4200	108	28	period	period	NOUN
dem-4200	108	29	ahead	ahead	ADV
dem-4200	108	30	combined	combine	VERB
dem-4200	108	31	forecasts	forecast	NOUN
dem-4200	108	32	were	be	AUX
dem-4200	108	33	obtained	obtain	VERB
dem-4200	108	34	.	.	PUNCT
dem-4200	109	1	to	to	PART
dem-4200	109	2	compare	compare	VERB
dem-4200	109	3	forecasts	forecast	NOUN
dem-4200	109	4	the	the	DET
dem-4200	109	5	mean	mean	ADJ
dem-4200	109	6	square	square	PROPN
dem-4200	109	7	forecast	forecast	NOUN
dem-4200	109	8	error	error	NOUN
dem-4200	109	9	(	(	PUNCT
dem-4200	109	10	msfe	msfe	PROPN
dem-4200	109	11	)	)	PUNCT
dem-4200	109	12	was	be	AUX
dem-4200	109	13	calculated	calculate	VERB
dem-4200	109	14	for	for	ADP
dem-4200	109	15	combined	combine	VERB
dem-4200	109	16	forecasts	forecast	NOUN
dem-4200	109	17	and	and	CCONJ
dem-4200	109	18	individual	individual	ADJ
dem-4200	109	19	forecasts	forecast	NOUN
dem-4200	109	20	obtained	obtain	VERB
dem-4200	109	21	from	from	ADP
dem-4200	109	22	the	the	DET
dem-4200	109	23	3	3	NUM
dem-4200	109	24	having	having	AUX
dem-4200	109	25	conducted	conduct	VERB
dem-4200	109	26	initial	initial	ADJ
dem-4200	109	27	simulation	simulation	NOUN
dem-4200	109	28	,	,	PUNCT
dem-4200	109	29	these	these	DET
dem-4200	109	30	models	model	NOUN
dem-4200	109	31	are	be	AUX
dem-4200	109	32	accepted	accept	VERB
dem-4200	109	33	as	as	ADP
dem-4200	109	34	plausible	plausible	ADJ
dem-4200	109	35	.	.	PUNCT
dem-4200	110	1	4	4	NUM
dem-4200	110	2	individual	individual	ADJ
dem-4200	110	3	forecasts	forecast	NOUN
dem-4200	110	4	were	be	AUX
dem-4200	110	5	dynamic	dynamic	ADJ
dem-4200	110	6	,	,	PUNCT
dem-4200	110	7	and	and	CCONJ
dem-4200	110	8	as	as	ADP
dem-4200	110	9	values	value	NOUN
dem-4200	110	10	of	of	ADP
dem-4200	110	11	explanatory	explanatory	ADJ
dem-4200	110	12	variables	variable	NOUN
dem-4200	110	13	x1	x1	PROPN
dem-4200	110	14	t	t	PROPN
dem-4200	110	15	in	in	ADP
dem-4200	110	16	forecast	forecast	NOUN
dem-4200	110	17	period	period	NOUN
dem-4200	110	18	the	the	DET
dem-4200	110	19	generated	generate	VERB
dem-4200	110	20	values	value	NOUN
dem-4200	110	21	are	be	AUX
dem-4200	110	22	taken	take	VERB
dem-4200	110	23	.	.	PUNCT
dem-4200	111	1	combined	combine	VERB
dem-4200	111	2	forecasts	forecast	NOUN
dem-4200	111	3	using	use	VERB
dem-4200	111	4	the	the	DET
dem-4200	111	5	akaike	akaike	ADJ
dem-4200	111	6	weights	weight	NOUN
dem-4200	111	7	11	11	NUM
dem-4200	111	8	best	good	ADJ
dem-4200	111	9	model	model	NOUN
dem-4200	111	10	(	(	PUNCT
dem-4200	111	11	selected	select	VERB
dem-4200	111	12	by	by	ADP
dem-4200	111	13	:	:	PUNCT
dem-4200	111	14	the	the	DET
dem-4200	111	15	aic	aic	PROPN
dem-4200	111	16	and	and	CCONJ
dem-4200	111	17	a	a	DET
dem-4200	111	18	posteriori	posteriori	NOUN
dem-4200	111	19	selection	selection	NOUN
dem-4200	111	20	method	method	NOUN
dem-4200	111	21	applied	apply	VERB
dem-4200	111	22	to	to	ADP
dem-4200	111	23	the	the	DET
dem-4200	111	24	causal	causal	ADJ
dem-4200	111	25	model5	model5	NOUN
dem-4200	111	26	m1	m1	PROPN
dem-4200	111	27	)	)	PUNCT
dem-4200	111	28	.	.	PUNCT
dem-4200	112	1	the	the	DET
dem-4200	112	2	results	result	NOUN
dem-4200	112	3	present	present	ADJ
dem-4200	112	4	table	table	NOUN
dem-4200	112	5	1	1	NUM
dem-4200	112	6	(	(	PUNCT
dem-4200	112	7	for	for	ADP
dem-4200	112	8	)	)	PUNCT
dem-4200	112	9	100	100	NUM
dem-4200	112	10	=	=	NUM
dem-4200	112	11	n	n	NUM
dem-4200	112	12	and	and	CCONJ
dem-4200	112	13	table	table	NOUN
dem-4200	112	14	2	2	NUM
dem-4200	112	15	(	(	PUNCT
dem-4200	112	16	for	for	ADP
dem-4200	112	17	)	)	PUNCT
dem-4200	112	18	.50	.50	NUM
dem-4200	112	19	=	=	NOUN
dem-4200	112	20	n	n	PRON
dem-4200	112	21	results	result	NOUN
dem-4200	112	22	presented	present	VERB
dem-4200	112	23	in	in	ADP
dem-4200	112	24	table	table	NOUN
dem-4200	112	25	1	1	NUM
dem-4200	112	26	and	and	CCONJ
dem-4200	112	27	2	2	NUM
dem-4200	112	28	show	show	VERB
dem-4200	112	29	that	that	SCONJ
dem-4200	112	30	the	the	DET
dem-4200	112	31	differences	difference	NOUN
dem-4200	112	32	between	between	ADP
dem-4200	112	33	msfe	msfe	PROPN
dem-4200	112	34	obtained	obtain	VERB
dem-4200	112	35	for	for	ADP
dem-4200	112	36	combined	combined	ADJ
dem-4200	112	37	forecasts	forecast	NOUN
dem-4200	112	38	(	(	PUNCT
dem-4200	112	39	using	use	VERB
dem-4200	112	40	aic	aic	PROPN
dem-4200	112	41	weights	weight	NOUN
dem-4200	112	42	and	and	CCONJ
dem-4200	112	43	equal	equal	ADJ
dem-4200	112	44	weights	weight	NOUN
dem-4200	112	45	)	)	PUNCT
dem-4200	112	46	and	and	CCONJ
dem-4200	112	47	individual	individual	ADJ
dem-4200	112	48	forecasts	forecast	NOUN
dem-4200	112	49	(	(	PUNCT
dem-4200	112	50	from	from	ADP
dem-4200	112	51	the	the	DET
dem-4200	112	52	best	good	ADJ
dem-4200	112	53	model	model	NOUN
dem-4200	112	54	selected	select	VERB
dem-4200	112	55	by	by	ADP
dem-4200	112	56	the	the	DET
dem-4200	112	57	minimum	minimum	NOUN
dem-4200	112	58	of	of	ADP
dem-4200	112	59	aic	aic	PROPN
dem-4200	112	60	and	and	CCONJ
dem-4200	112	61	by	by	ADP
dem-4200	112	62	a	a	DET
dem-4200	112	63	posteriori	posteriori	NOUN
dem-4200	112	64	selection	selection	NOUN
dem-4200	112	65	method	method	NOUN
dem-4200	112	66	)	)	PUNCT
dem-4200	112	67	are	be	AUX
dem-4200	112	68	small	small	ADJ
dem-4200	112	69	.	.	PUNCT
dem-4200	113	1	however	however	ADV
dem-4200	113	2	,	,	PUNCT
dem-4200	113	3	certain	certain	ADJ
dem-4200	113	4	regularities	regularity	NOUN
dem-4200	113	5	indicating	indicate	VERB
dem-4200	113	6	the	the	DET
dem-4200	113	7	usefulness	usefulness	NOUN
dem-4200	113	8	of	of	ADP
dem-4200	113	9	combined	combine	VERB
dem-4200	113	10	forecasts	forecast	NOUN
dem-4200	113	11	can	can	AUX
dem-4200	113	12	be	be	AUX
dem-4200	113	13	observed	observe	VERB
dem-4200	113	14	.	.	PUNCT
dem-4200	114	1	in	in	ADP
dem-4200	114	2	the	the	DET
dem-4200	114	3	case	case	NOUN
dem-4200	114	4	of	of	ADP
dem-4200	114	5	small	small	ADJ
dem-4200	114	6	size	size	NOUN
dem-4200	114	7	of	of	ADP
dem-4200	114	8	disturbance	disturbance	NOUN
dem-4200	114	9	(	(	PUNCT
dem-4200	114	10	σε	σε	NOUN
dem-4200	114	11	=	=	NOUN
dem-4200	114	12	1	1	NUM
dem-4200	114	13	)	)	PUNCT
dem-4200	114	14	the	the	DET
dem-4200	114	15	combined	combined	ADJ
dem-4200	114	16	forecasts	forecast	NOUN
dem-4200	114	17	(	(	PUNCT
dem-4200	114	18	with	with	ADP
dem-4200	114	19	the	the	DET
dem-4200	114	20	akaike	akaike	ADJ
dem-4200	114	21	weights	weight	NOUN
dem-4200	114	22	,	,	PUNCT
dem-4200	114	23	waic	waic	ADV
dem-4200	114	24	)	)	PUNCT
dem-4200	114	25	obtained	obtain	VERB
dem-4200	114	26	from	from	ADP
dem-4200	114	27	causal	causal	NOUN
dem-4200	114	28	models	model	NOUN
dem-4200	114	29	give	give	VERB
dem-4200	114	30	smaller	small	ADJ
dem-4200	114	31	mean	mean	ADJ
dem-4200	114	32	square	square	PROPN
dem-4200	114	33	forecast	forecast	NOUN
dem-4200	114	34	error	error	NOUN
dem-4200	114	35	(	(	PUNCT
dem-4200	114	36	msfe	msfe	NOUN
dem-4200	114	37	)	)	PUNCT
dem-4200	114	38	than	than	ADP
dem-4200	114	39	forecasts	forecast	NOUN
dem-4200	114	40	combined	combine	VERB
dem-4200	114	41	with	with	ADP
dem-4200	114	42	equal	equal	ADJ
dem-4200	114	43	weights	weight	NOUN
dem-4200	114	44	(	(	PUNCT
dem-4200	114	45	weq	weq	PROPN
dem-4200	114	46	.	.	PUNCT
dem-4200	114	47	)	)	PUNCT
dem-4200	115	1	at	at	ADP
dem-4200	115	2	the	the	DET
dem-4200	115	3	whole	whole	ADJ
dem-4200	115	4	forecast	forecast	NOUN
dem-4200	115	5	horizon	horizon	NOUN
dem-4200	115	6	(	(	PUNCT
dem-4200	115	7	table	table	NOUN
dem-4200	115	8	1	1	NUM
dem-4200	115	9	)	)	PUNCT
dem-4200	115	10	.	.	PUNCT
dem-4200	116	1	this	this	DET
dem-4200	116	2	slight	slight	ADJ
dem-4200	116	3	dominance	dominance	NOUN
dem-4200	116	4	of	of	ADP
dem-4200	116	5	combined	combined	ADJ
dem-4200	116	6	forecast	forecast	NOUN
dem-4200	116	7	with	with	ADP
dem-4200	116	8	the	the	DET
dem-4200	116	9	aic	aic	PROPN
dem-4200	116	10	weights	weight	NOUN
dem-4200	116	11	is	be	AUX
dem-4200	116	12	hold	hold	NOUN
dem-4200	116	13	for	for	ADP
dem-4200	116	14	σε	σε	NOUN
dem-4200	116	15	=	=	SYM
dem-4200	116	16	2	2	NUM
dem-4200	116	17	,	,	PUNCT
dem-4200	116	18	3	3	NUM
dem-4200	116	19	at	at	ADP
dem-4200	116	20	longer	long	ADJ
dem-4200	116	21	horizons	horizon	NOUN
dem-4200	116	22	(	(	PUNCT
dem-4200	116	23	h	h	NOUN
dem-4200	116	24	>	>	X
dem-4200	116	25	5	5	NUM
dem-4200	116	26	)	)	PUNCT
dem-4200	116	27	,	,	PUNCT
dem-4200	116	28	and	and	CCONJ
dem-4200	116	29	for	for	ADP
dem-4200	116	30	shorter	short	ADJ
dem-4200	116	31	horizons	horizon	NOUN
dem-4200	116	32	–	–	PUNCT
dem-4200	116	33	the	the	DET
dem-4200	116	34	forecasts	forecast	NOUN
dem-4200	116	35	combined	combine	VERB
dem-4200	116	36	with	with	ADP
dem-4200	116	37	equal	equal	ADJ
dem-4200	116	38	weights	weight	NOUN
dem-4200	116	39	(	(	PUNCT
dem-4200	116	40	weq	weq	PROPN
dem-4200	116	41	.	.	PUNCT
dem-4200	116	42	)	)	PUNCT
dem-4200	116	43	have	have	VERB
dem-4200	116	44	lower	low	ADJ
dem-4200	116	45	msfe	msfe	NOUN
dem-4200	116	46	.	.	PUNCT
dem-4200	117	1	in	in	ADP
dem-4200	117	2	general	general	ADJ
dem-4200	117	3	the	the	DET
dem-4200	117	4	combined	combined	ADJ
dem-4200	117	5	forecasts	forecast	NOUN
dem-4200	117	6	(	(	PUNCT
dem-4200	117	7	with	with	ADP
dem-4200	117	8	aic	aic	PROPN
dem-4200	117	9	weights	weight	NOUN
dem-4200	117	10	and	and	CCONJ
dem-4200	117	11	equal	equal	ADJ
dem-4200	117	12	weights	weight	NOUN
dem-4200	117	13	)	)	PUNCT
dem-4200	117	14	outperform	outperform	VERB
dem-4200	117	15	the	the	DET
dem-4200	117	16	individual	individual	ADJ
dem-4200	117	17	forecasts	forecast	NOUN
dem-4200	117	18	obtained	obtain	VERB
dem-4200	117	19	from	from	ADP
dem-4200	117	20	the	the	DET
dem-4200	117	21	best	good	ADJ
dem-4200	117	22	model	model	NOUN
dem-4200	117	23	(	(	PUNCT
dem-4200	117	24	selected	select	VERB
dem-4200	117	25	by	by	ADP
dem-4200	117	26	a	a	DET
dem-4200	117	27	posteriori	posteriori	NOUN
dem-4200	117	28	method	method	NOUN
dem-4200	117	29	,	,	PUNCT
dem-4200	117	30	msel	msel	NOUN
dem-4200	117	31	.	.	PUNCT
dem-4200	117	32	)	)	PUNCT
dem-4200	118	1	,	,	PUNCT
dem-4200	118	2	because	because	SCONJ
dem-4200	118	3	the	the	DET
dem-4200	118	4	msfe	msfe	NOUN
dem-4200	118	5	for	for	ADP
dem-4200	118	6	combined	combine	VERB
dem-4200	118	7	forecasts	forecast	NOUN
dem-4200	118	8	are	be	AUX
dem-4200	118	9	visibly	visibly	ADV
dem-4200	118	10	lower	low	ADJ
dem-4200	118	11	than	than	ADP
dem-4200	118	12	the	the	DET
dem-4200	118	13	msfe	msfe	NOUN
dem-4200	118	14	for	for	ADP
dem-4200	118	15	individual	individual	ADJ
dem-4200	118	16	forecasts	forecast	NOUN
dem-4200	118	17	;	;	PUNCT
dem-4200	118	18	this	this	PRON
dem-4200	118	19	occurs	occur	VERB
dem-4200	118	20	for	for	ADP
dem-4200	118	21	all	all	DET
dem-4200	118	22	sizes	size	NOUN
dem-4200	118	23	of	of	ADP
dem-4200	118	24	disturbance	disturbance	NOUN
dem-4200	118	25	σε	σε	PROPN
dem-4200	118	26	(	(	PUNCT
dem-4200	118	27	table	table	NOUN
dem-4200	118	28	1	1	NUM
dem-4200	118	29	)	)	PUNCT
dem-4200	118	30	.	.	PUNCT
dem-4200	119	1	such	such	ADJ
dem-4200	119	2	performance	performance	NOUN
dem-4200	119	3	indicates	indicate	VERB
dem-4200	119	4	the	the	DET
dem-4200	119	5	dominance	dominance	NOUN
dem-4200	119	6	of	of	ADP
dem-4200	119	7	combined	combined	ADJ
dem-4200	119	8	forecasts	forecast	NOUN
dem-4200	119	9	.	.	PUNCT
dem-4200	120	1	however	however	ADV
dem-4200	120	2	this	this	DET
dem-4200	120	3	dominance	dominance	NOUN
dem-4200	120	4	is	be	AUX
dem-4200	120	5	not	not	PART
dem-4200	120	6	complete	complete	ADJ
dem-4200	120	7	,	,	PUNCT
dem-4200	120	8	because	because	SCONJ
dem-4200	120	9	the	the	DET
dem-4200	120	10	lowest	low	ADJ
dem-4200	120	11	msfe	msfe	NOUN
dem-4200	120	12	are	be	AUX
dem-4200	120	13	obtained	obtain	VERB
dem-4200	120	14	for	for	ADP
dem-4200	120	15	individual	individual	ADJ
dem-4200	120	16	forecasts	forecast	NOUN
dem-4200	120	17	calculated	calculate	VERB
dem-4200	120	18	from	from	ADP
dem-4200	120	19	the	the	DET
dem-4200	120	20	best	good	ADJ
dem-4200	120	21	model	model	NOUN
dem-4200	120	22	selected	select	VERB
dem-4200	120	23	by	by	ADP
dem-4200	120	24	the	the	DET
dem-4200	120	25	minimum	minimum	NOUN
dem-4200	120	26	of	of	ADP
dem-4200	120	27	aic	aic	PROPN
dem-4200	120	28	(	(	PUNCT
dem-4200	120	29	for	for	ADP
dem-4200	120	30	σε	σε	NOUN
dem-4200	120	31	=	=	NOUN
dem-4200	120	32	1	1	NUM
dem-4200	120	33	)	)	PUNCT
dem-4200	120	34	.	.	PUNCT
dem-4200	121	1	for	for	ADP
dem-4200	121	2	bigger	big	ADJ
dem-4200	121	3	size	size	NOUN
dem-4200	121	4	of	of	ADP
dem-4200	121	5	disturbance	disturbance	NOUN
dem-4200	121	6	,	,	PUNCT
dem-4200	121	7	i.e.	i.e.	X
dem-4200	121	8	σε	σε	X
dem-4200	121	9	=	=	NOUN
dem-4200	121	10	2	2	NUM
dem-4200	121	11	and	and	CCONJ
dem-4200	121	12	3	3	NUM
dem-4200	121	13	,	,	PUNCT
dem-4200	121	14	the	the	DET
dem-4200	121	15	lower	low	ADJ
dem-4200	121	16	msfes	msfe	NOUN
dem-4200	121	17	at	at	ADP
dem-4200	121	18	the	the	DET
dem-4200	121	19	horizon	horizon	NOUN
dem-4200	121	20	h	h	NOUN
dem-4200	121	21	≤	≤	ADJ
dem-4200	121	22	5	5	NUM
dem-4200	121	23	give	give	VERB
dem-4200	121	24	the	the	DET
dem-4200	121	25	forecasts	forecast	NOUN
dem-4200	121	26	combined	combine	VERB
dem-4200	121	27	using	use	VERB
dem-4200	121	28	equal	equal	ADJ
dem-4200	121	29	weights	weight	NOUN
dem-4200	121	30	,	,	PUNCT
dem-4200	121	31	and	and	CCONJ
dem-4200	121	32	at	at	ADP
dem-4200	121	33	the	the	DET
dem-4200	121	34	horizon	horizon	NOUN
dem-4200	121	35	h	h	PROPN
dem-4200	121	36	≥	≥	PROPN
dem-4200	121	37	6	6	NUM
dem-4200	121	38	–	–	PUNCT
dem-4200	121	39	forecasts	forecast	NOUN
dem-4200	121	40	combined	combine	VERB
dem-4200	121	41	using	use	VERB
dem-4200	121	42	the	the	DET
dem-4200	121	43	aic	aic	PROPN
dem-4200	121	44	weights	weight	NOUN
dem-4200	121	45	.	.	PUNCT
dem-4200	122	1	these	these	DET
dem-4200	122	2	lower	low	ADJ
dem-4200	122	3	msfes	msfe	NOUN
dem-4200	122	4	for	for	ADP
dem-4200	122	5	forecasts	forecast	NOUN
dem-4200	122	6	from	from	ADP
dem-4200	122	7	models	model	NOUN
dem-4200	122	8	selected	select	VERB
dem-4200	122	9	by	by	ADP
dem-4200	122	10	the	the	DET
dem-4200	122	11	minimum	minimum	NOUN
dem-4200	122	12	of	of	ADP
dem-4200	122	13	aic	aic	PROPN
dem-4200	122	14	(	(	PUNCT
dem-4200	122	15	for	for	ADP
dem-4200	122	16	σε	σε	NOUN
dem-4200	122	17	=	=	NOUN
dem-4200	122	18	1	1	NUM
dem-4200	122	19	)	)	PUNCT
dem-4200	122	20	refer	refer	VERB
dem-4200	122	21	to	to	ADP
dem-4200	122	22	the	the	DET
dem-4200	122	23	cases	case	NOUN
dem-4200	122	24	when	when	SCONJ
dem-4200	122	25	the	the	DET
dem-4200	122	26	set	set	NOUN
dem-4200	122	27	of	of	ADP
dem-4200	122	28	candidate	candidate	NOUN
dem-4200	122	29	models	model	NOUN
dem-4200	122	30	is	be	AUX
dem-4200	122	31	small	small	ADJ
dem-4200	122	32	(	(	PUNCT
dem-4200	122	33	in	in	ADP
dem-4200	122	34	the	the	DET
dem-4200	122	35	considered	consider	VERB
dem-4200	122	36	experiment	experiment	NOUN
dem-4200	122	37	it	it	PRON
dem-4200	122	38	were	be	AUX
dem-4200	122	39	models	model	NOUN
dem-4200	122	40	m3	m3	PROPN
dem-4200	122	41	and	and	CCONJ
dem-4200	122	42	m4	m4	PROPN
dem-4200	122	43	)	)	PUNCT
dem-4200	122	44	,	,	PUNCT
dem-4200	122	45	and	and	CCONJ
dem-4200	122	46	additionally	additionally	ADV
dem-4200	122	47	one	one	NUM
dem-4200	122	48	model	model	NOUN
dem-4200	122	49	in	in	ADP
dem-4200	122	50	the	the	DET
dem-4200	122	51	set	set	NOUN
dem-4200	122	52	has	have	VERB
dem-4200	122	53	the	the	DET
dem-4200	122	54	dominating	dominating	NOUN
dem-4200	122	55	aic	aic	PROPN
dem-4200	122	56	weight	weight	NOUN
dem-4200	122	57	(	(	PUNCT
dem-4200	122	58	waic	waic	ADV
dem-4200	122	59	>	>	X
dem-4200	122	60	0.7	0.7	NUM
dem-4200	122	61	)	)	PUNCT
dem-4200	122	62	.	.	PUNCT
dem-4200	123	1	for	for	ADP
dem-4200	123	2	the	the	DET
dem-4200	123	3	bigger	big	ADJ
dem-4200	123	4	size	size	NOUN
dem-4200	123	5	of	of	ADP
dem-4200	123	6	disturbance	disturbance	NOUN
dem-4200	123	7	,	,	PUNCT
dem-4200	123	8	i.e.	i.e.	X
dem-4200	123	9	σε	σε	X
dem-4200	123	10	=	=	SYM
dem-4200	123	11	2	2	NUM
dem-4200	123	12	and	and	CCONJ
dem-4200	123	13	3	3	NUM
dem-4200	123	14	,	,	PUNCT
dem-4200	123	15	the	the	DET
dem-4200	123	16	set	set	NOUN
dem-4200	123	17	of	of	ADP
dem-4200	123	18	competing	compete	VERB
dem-4200	123	19	models	model	NOUN
dem-4200	123	20	,	,	PUNCT
dem-4200	123	21	being	be	AUX
dem-4200	123	22	used	use	VERB
dem-4200	123	23	in	in	ADP
dem-4200	123	24	combining	combine	VERB
dem-4200	123	25	forecasts	forecast	NOUN
dem-4200	123	26	,	,	PUNCT
dem-4200	123	27	consisted	consist	VERB
dem-4200	123	28	most	most	ADV
dem-4200	123	29	frequently	frequently	ADV
dem-4200	123	30	of	of	ADP
dem-4200	123	31	models	model	NOUN
dem-4200	123	32	m3	m3	PROPN
dem-4200	123	33	,	,	PUNCT
dem-4200	123	34	m4	m4	PROPN
dem-4200	123	35	,	,	PUNCT
dem-4200	123	36	m5	m5	PROPN
dem-4200	123	37	,	,	PUNCT
dem-4200	123	38	m6	m6	ADJ
dem-4200	123	39	,	,	PUNCT
dem-4200	123	40	and	and	CCONJ
dem-4200	123	41	none	none	NOUN
dem-4200	123	42	had	have	VERB
dem-4200	123	43	the	the	DET
dem-4200	123	44	dominating	dominating	NOUN
dem-4200	123	45	aic	aic	PROPN
dem-4200	123	46	weight	weight	PROPN
dem-4200	123	47	.	.	PUNCT
dem-4200	124	1	then	then	ADV
dem-4200	124	2	,	,	PUNCT
dem-4200	124	3	the	the	DET
dem-4200	124	4	combined	combined	ADJ
dem-4200	124	5	forecasts	forecast	NOUN
dem-4200	124	6	(	(	PUNCT
dem-4200	124	7	using	use	VERB
dem-4200	124	8	the	the	DET
dem-4200	124	9	aic	aic	PROPN
dem-4200	124	10	weights	weight	NOUN
dem-4200	124	11	or	or	CCONJ
dem-4200	124	12	equal	equal	ADJ
dem-4200	124	13	weights	weight	NOUN
dem-4200	124	14	)	)	PUNCT
dem-4200	124	15	outperformed	outperform	VERB
dem-4200	124	16	the	the	DET
dem-4200	124	17	individual	individual	ADJ
dem-4200	124	18	forecasts	forecast	NOUN
dem-4200	124	19	from	from	ADP
dem-4200	124	20	model	model	NOUN
dem-4200	124	21	selected	select	VERB
dem-4200	124	22	by	by	ADP
dem-4200	124	23	the	the	DET
dem-4200	124	24	minimum	minimum	NOUN
dem-4200	124	25	of	of	ADP
dem-4200	124	26	aic	aic	PROPN
dem-4200	124	27	,	,	PUNCT
dem-4200	124	28	i.e.	i.e.	X
dem-4200	124	29	they	they	PRON
dem-4200	124	30	gave	give	VERB
dem-4200	124	31	the	the	DET
dem-4200	124	32	lower	low	ADJ
dem-4200	124	33	msfes	msfe	NOUN
dem-4200	124	34	.	.	PUNCT
dem-4200	125	1	5	5	NUM
dem-4200	125	2	variables	variable	NOUN
dem-4200	125	3	elimination	elimination	NOUN
dem-4200	125	4	in	in	ADP
dem-4200	125	5	a	a	DET
dem-4200	125	6	posteriori	posteriori	NOUN
dem-4200	125	7	selection	selection	NOUN
dem-4200	125	8	method	method	NOUN
dem-4200	125	9	was	be	AUX
dem-4200	125	10	realized	realize	VERB
dem-4200	125	11	at	at	ADP
dem-4200	125	12	the	the	DET
dem-4200	125	13	5	5	NUM
dem-4200	125	14	%	%	NOUN
dem-4200	125	15	significance	significance	NOUN
dem-4200	125	16	level	level	NOUN
dem-4200	125	17	.	.	PUNCT
dem-4200	126	1	table	table	NOUN
dem-4200	126	2	1	1	NUM
dem-4200	126	3	.	.	PUNCT
dem-4200	127	1	mean	mean	PROPN
dem-4200	127	2	square	square	PROPN
dem-4200	127	3	forecast	forecast	NOUN
dem-4200	127	4	errors	error	NOUN
dem-4200	127	5	(	(	PUNCT
dem-4200	127	6	msfe	msfe	PROPN
dem-4200	127	7	)	)	PUNCT
dem-4200	127	8	for	for	ADP
dem-4200	127	9	sample	sample	NOUN
dem-4200	127	10	n	n	NOUN
dem-4200	127	11	=	=	SYM
dem-4200	127	12	100	100	NUM
dem-4200	127	13	h	h	NOUN
dem-4200	127	14	causal	causal	NOUN
dem-4200	127	15	models	model	NOUN
dem-4200	127	16	autoregressive	autoregressive	ADJ
dem-4200	127	17	models	model	NOUN
dem-4200	127	18	waic	waic	PROPN
dem-4200	127	19	weq	weq	PROPN
dem-4200	127	20	.	.	PUNCT
dem-4200	128	1	minaic	minaic	PROPN
dem-4200	128	2	msel	msel	PROPN
dem-4200	128	3	.	.	PUNCT
dem-4200	129	1	waic	waic	PROPN
dem-4200	129	2	weq	weq	PROPN
dem-4200	129	3	.	.	PUNCT
dem-4200	130	1	minaic	minaic	PROPN
dem-4200	130	2	σε	σε	X
dem-4200	130	3	=	=	SYM
dem-4200	130	4	1	1	NUM
dem-4200	130	5	1	1	NUM
dem-4200	130	6	2.950	2.950	NUM
dem-4200	130	7	2.973	2.973	NUM
dem-4200	130	8	2.935	2.935	NUM
dem-4200	130	9	3.050	3.050	NUM
dem-4200	130	10	3.102	3.102	NUM
dem-4200	130	11	3.117	3.117	NUM
dem-4200	130	12	3.096	3.096	NUM
dem-4200	130	13	2	2	NUM
dem-4200	130	14	2.290	2.290	NUM
dem-4200	130	15	2.301	2.301	NUM
dem-4200	130	16	2.287	2.287	NUM
dem-4200	130	17	2.357	2.357	NUM
dem-4200	130	18	2.530	2.530	NUM
dem-4200	130	19	2.547	2.547	NUM
dem-4200	130	20	2.523	2.523	NUM
dem-4200	130	21	3	3	NUM
dem-4200	130	22	2.471	2.471	NUM
dem-4200	130	23	2.500	2.500	NUM
dem-4200	130	24	2.456	2.456	NUM
dem-4200	130	25	2.604	2.604	NUM
dem-4200	130	26	2.568	2.568	NUM
dem-4200	130	27	2.595	2.595	NUM
dem-4200	130	28	2.548	2.548	NUM
dem-4200	130	29	4	4	NUM
dem-4200	130	30	3.280	3.280	NUM
dem-4200	130	31	3.320	3.320	NUM
dem-4200	130	32	3.254	3.254	NUM
dem-4200	130	33	3.436	3.436	NUM
dem-4200	130	34	2.569	2.569	NUM
dem-4200	130	35	2.602	2.602	NUM
dem-4200	130	36	2.537	2.537	NUM
dem-4200	130	37	5	5	NUM
dem-4200	130	38	4.064	4.064	NUM
dem-4200	130	39	4.097	4.097	NUM
dem-4200	130	40	4.043	4.043	NUM
dem-4200	130	41	4.192	4.192	NUM
dem-4200	130	42	3.706	3.706	NUM
dem-4200	130	43	3.748	3.748	NUM
dem-4200	130	44	3.653	3.653	NUM
dem-4200	130	45	6	6	NUM
dem-4200	130	46	3.949	3.949	NUM
dem-4200	130	47	3.985	3.985	NUM
dem-4200	130	48	3.926	3.926	NUM
dem-4200	130	49	4.092	4.092	NUM
dem-4200	130	50	3.413	3.413	NUM
dem-4200	130	51	3.452	3.452	NUM
dem-4200	130	52	3.367	3.367	NUM
dem-4200	130	53	7	7	NUM
dem-4200	130	54	3.807	3.807	NUM
dem-4200	130	55	3.842	3.842	NUM
dem-4200	130	56	3.785	3.785	NUM
dem-4200	130	57	3.944	3.944	NUM
dem-4200	130	58	3.192	3.192	NUM
dem-4200	130	59	3.225	3.225	NUM
dem-4200	130	60	3.156	3.156	NUM
dem-4200	130	61	8	8	NUM
dem-4200	130	62	3.589	3.589	NUM
dem-4200	130	63	3.622	3.622	NUM
dem-4200	130	64	3.568	3.568	NUM
dem-4200	130	65	3.717	3.717	NUM
dem-4200	130	66	3.038	3.038	NUM
dem-4200	130	67	3.073	3.073	NUM
dem-4200	130	68	3.001	3.001	NUM
dem-4200	130	69	9	9	NUM
dem-4200	130	70	3.503	3.503	NUM
dem-4200	130	71	3.528	3.528	NUM
dem-4200	130	72	3.488	3.488	NUM
dem-4200	130	73	3.607	3.607	NUM
dem-4200	130	74	2.931	2.931	NUM
dem-4200	130	75	2.960	2.960	NUM
dem-4200	130	76	2.906	2.906	NUM
dem-4200	130	77	10	10	NUM
dem-4200	130	78	3.903	3.903	NUM
dem-4200	130	79	3.915	3.915	NUM
dem-4200	130	80	3.900	3.900	NUM
dem-4200	130	81	3.961	3.961	NUM
dem-4200	130	82	3.266	3.266	NUM
dem-4200	130	83	3.280	3.280	NUM
dem-4200	130	84	3.265	3.265	NUM
dem-4200	130	85	σε	σε	NOUN
dem-4200	131	1	=	=	SYM
dem-4200	132	1	2	2	NUM
dem-4200	132	2	1	1	NUM
dem-4200	132	3	1.958	1.958	NUM
dem-4200	132	4	1.944	1.944	NUM
dem-4200	132	5	2.008	2.008	NUM
dem-4200	132	6	2.035	2.035	NUM
dem-4200	132	7	2.220	2.220	NUM
dem-4200	132	8	2.217	2.217	NUM
dem-4200	132	9	2.229	2.229	NUM
dem-4200	132	10	2	2	NUM
dem-4200	132	11	2.200	2.200	NUM
dem-4200	132	12	2.175	2.175	NUM
dem-4200	132	13	2.280	2.280	NUM
dem-4200	132	14	2.207	2.207	NUM
dem-4200	132	15	3.111	3.111	NUM
dem-4200	132	16	3.105	3.105	NUM
dem-4200	132	17	3.121	3.121	NUM
dem-4200	132	18	3	3	NUM
dem-4200	132	19	3.236	3.236	NUM
dem-4200	132	20	3.221	3.221	NUM
dem-4200	132	21	3.284	3.284	NUM
dem-4200	132	22	3.266	3.266	NUM
dem-4200	132	23	2.890	2.890	NUM
dem-4200	132	24	2.885	2.885	NUM
dem-4200	132	25	2.899	2.899	NUM
dem-4200	132	26	4	4	NUM
dem-4200	132	27	4.795	4.795	NUM
dem-4200	132	28	4.794	4.794	NUM
dem-4200	132	29	4.823	4.823	NUM
dem-4200	132	30	4.901	4.901	NUM
dem-4200	132	31	3.200	3.200	NUM
dem-4200	132	32	3.198	3.198	NUM
dem-4200	132	33	3.204	3.204	NUM
dem-4200	132	34	5	5	NUM
dem-4200	132	35	6.334	6.334	NUM
dem-4200	132	36	6.342	6.342	NUM
dem-4200	132	37	6.350	6.350	NUM
dem-4200	132	38	6.497	6.497	NUM
dem-4200	132	39	4.696	4.696	NUM
dem-4200	132	40	4.698	4.698	NUM
dem-4200	132	41	4.697	4.697	NUM
dem-4200	132	42	6	6	NUM
dem-4200	132	43	6.333	6.333	NUM
dem-4200	132	44	6.341	6.341	NUM
dem-4200	132	45	6.347	6.347	NUM
dem-4200	132	46	6.484	6.484	NUM
dem-4200	132	47	4.836	4.836	NUM
dem-4200	132	48	4.838	4.838	NUM
dem-4200	132	49	4.835	4.835	NUM
dem-4200	132	50	7	7	NUM
dem-4200	132	51	5.971	5.971	NUM
dem-4200	132	52	5.978	5.978	NUM
dem-4200	132	53	5.984	5.984	NUM
dem-4200	132	54	6.107	6.107	NUM
dem-4200	132	55	4.596	4.596	NUM
dem-4200	132	56	4.598	4.598	NUM
dem-4200	132	57	4.595	4.595	NUM
dem-4200	132	58	8	8	NUM
dem-4200	132	59	5.675	5.675	NUM
dem-4200	132	60	5.681	5.681	NUM
dem-4200	132	61	5.689	5.689	NUM
dem-4200	132	62	5.792	5.792	NUM
dem-4200	132	63	4.359	4.359	NUM
dem-4200	132	64	4.361	4.361	NUM
dem-4200	132	65	4.358	4.358	NUM
dem-4200	132	66	9	9	NUM
dem-4200	132	67	5.397	5.397	NUM
dem-4200	132	68	5.403	5.403	NUM
dem-4200	132	69	5.410	5.410	NUM
dem-4200	132	70	5.508	5.508	NUM
dem-4200	132	71	4.172	4.172	NUM
dem-4200	132	72	4.173	4.173	NUM
dem-4200	132	73	4.171	4.171	NUM
dem-4200	132	74	10	10	NUM
dem-4200	132	75	5.224	5.224	NUM
dem-4200	132	76	5.229	5.229	NUM
dem-4200	132	77	5.237	5.237	NUM
dem-4200	132	78	5.324	5.324	NUM
dem-4200	132	79	4.087	4.087	NUM
dem-4200	132	80	4.088	4.088	NUM
dem-4200	132	81	4.086	4.086	NUM
dem-4200	132	82	σε	σε	X
dem-4200	132	83	=	=	SYM
dem-4200	132	84	3	3	NUM
dem-4200	132	85	1	1	NUM
dem-4200	132	86	3.172	3.172	NUM
dem-4200	132	87	3.177	3.177	NUM
dem-4200	132	88	3.168	3.168	NUM
dem-4200	132	89	3.222	3.222	NUM
dem-4200	132	90	4.430	4.430	NUM
dem-4200	132	91	4.415	4.415	NUM
dem-4200	132	92	4.459	4.459	NUM
dem-4200	132	93	2	2	NUM
dem-4200	132	94	3.456	3.456	NUM
dem-4200	132	95	3.455	3.455	NUM
dem-4200	132	96	3.459	3.459	NUM
dem-4200	132	97	3.477	3.477	NUM
dem-4200	132	98	5.061	5.061	NUM
dem-4200	132	99	5.048	5.048	NUM
dem-4200	132	100	5.087	5.087	NUM
dem-4200	132	101	3	3	NUM
dem-4200	132	102	5.283	5.283	NUM
dem-4200	132	103	5.251	5.251	NUM
dem-4200	132	104	5.321	5.321	NUM
dem-4200	132	105	5.211	5.211	NUM
dem-4200	132	106	6.934	6.934	NUM
dem-4200	132	107	6.921	6.921	NUM
dem-4200	132	108	6.961	6.961	NUM
dem-4200	132	109	4	4	NUM
dem-4200	132	110	7.320	7.320	NUM
dem-4200	132	111	7.320	7.320	NUM
dem-4200	132	112	7.331	7.331	NUM
dem-4200	132	113	7.361	7.361	NUM
dem-4200	132	114	9.907	9.907	NUM
dem-4200	132	115	9.897	9.897	NUM
dem-4200	132	116	9.933	9.933	NUM
dem-4200	132	117	5	5	NUM
dem-4200	132	118	8.008	8.008	NUM
dem-4200	132	119	8.014	8.014	NUM
dem-4200	132	120	8.010	8.010	NUM
dem-4200	132	121	8.066	8.066	NUM
dem-4200	132	122	11.199	11.199	NUM
dem-4200	132	123	11.189	11.189	NUM
dem-4200	132	124	11.225	11.225	NUM
dem-4200	132	125	6	6	NUM
dem-4200	132	126	7.621	7.621	NUM
dem-4200	132	127	7.624	7.624	NUM
dem-4200	132	128	7.625	7.625	NUM
dem-4200	132	129	7.670	7.670	NUM
dem-4200	132	130	10.966	10.966	NUM
dem-4200	132	131	10.957	10.957	NUM
dem-4200	132	132	10.992	10.992	NUM
dem-4200	132	133	7	7	NUM
dem-4200	132	134	7.171	7.171	NUM
dem-4200	132	135	7.172	7.172	NUM
dem-4200	132	136	7.178	7.178	NUM
dem-4200	132	137	7.215	7.215	NUM
dem-4200	132	138	10.380	10.380	NUM
dem-4200	132	139	10.371	10.371	NUM
dem-4200	132	140	10.405	10.405	NUM
dem-4200	132	141	8	8	NUM
dem-4200	132	142	6.794	6.794	NUM
dem-4200	132	143	6.796	6.796	NUM
dem-4200	132	144	6.802	6.802	NUM
dem-4200	132	145	6.836	6.836	NUM
dem-4200	132	146	9.846	9.846	NUM
dem-4200	132	147	9.837	9.837	NUM
dem-4200	132	148	9.870	9.870	NUM
dem-4200	132	149	9	9	NUM
dem-4200	132	150	6.514	6.514	NUM
dem-4200	132	151	6.518	6.518	NUM
dem-4200	132	152	6.520	6.520	NUM
dem-4200	132	153	6.563	6.563	NUM
dem-4200	132	154	9.339	9.339	NUM
dem-4200	132	155	9.331	9.331	NUM
dem-4200	132	156	9.362	9.362	NUM
dem-4200	132	157	10	10	NUM
dem-4200	132	158	6.260	6.260	NUM
dem-4200	132	159	6.262	6.262	NUM
dem-4200	132	160	6.267	6.267	NUM
dem-4200	132	161	6.305	6.305	NUM
dem-4200	132	162	8.993	8.993	NUM
dem-4200	132	163	8.985	8.985	NUM
dem-4200	132	164	9.015	9.015	NUM
dem-4200	132	165	note	note	NOUN
dem-4200	132	166	:	:	PUNCT
dem-4200	132	167	in	in	ADP
dem-4200	132	168	columns	column	NOUN
dem-4200	132	169	waic	waic	ADJ
dem-4200	132	170	,	,	PUNCT
dem-4200	132	171	weq	weq	PROPN
dem-4200	132	172	.	.	PUNCT
dem-4200	133	1	are	be	AUX
dem-4200	133	2	the	the	DET
dem-4200	133	3	msfes	msfe	NOUN
dem-4200	133	4	for	for	ADP
dem-4200	133	5	forecasts	forecast	NOUN
dem-4200	133	6	combined	combine	VERB
dem-4200	133	7	using	use	VERB
dem-4200	133	8	the	the	DET
dem-4200	133	9	akaike	akaike	ADJ
dem-4200	133	10	weights	weight	NOUN
dem-4200	133	11	and	and	CCONJ
dem-4200	133	12	equal	equal	ADJ
dem-4200	133	13	weights	weight	NOUN
dem-4200	133	14	,	,	PUNCT
dem-4200	133	15	and	and	CCONJ
dem-4200	133	16	in	in	ADP
dem-4200	133	17	columns	column	NOUN
dem-4200	133	18	minaic	minaic	ADJ
dem-4200	133	19	.	.	PUNCT
dem-4200	133	20	,	,	PUNCT
dem-4200	133	21	msel	msel	NOUN
dem-4200	133	22	–	–	PUNCT
dem-4200	133	23	the	the	DET
dem-4200	133	24	msfes	msfe	NOUN
dem-4200	133	25	for	for	ADP
dem-4200	133	26	individual	individual	ADJ
dem-4200	133	27	forecasts	forecast	NOUN
dem-4200	133	28	obtained	obtain	VERB
dem-4200	133	29	from	from	ADP
dem-4200	133	30	model	model	NOUN
dem-4200	133	31	selected	select	VERB
dem-4200	133	32	by	by	ADP
dem-4200	133	33	the	the	DET
dem-4200	133	34	minimum	minimum	NOUN
dem-4200	133	35	of	of	ADP
dem-4200	133	36	aic	aic	PROPN
dem-4200	133	37	and	and	CCONJ
dem-4200	133	38	model	model	NOUN
dem-4200	133	39	received	receive	VERB
dem-4200	133	40	after	after	ADP
dem-4200	133	41	applying	apply	VERB
dem-4200	133	42	a	a	DET
dem-4200	133	43	posteriori	posteriori	NOUN
dem-4200	133	44	selection	selection	NOUN
dem-4200	133	45	method	method	NOUN
dem-4200	133	46	to	to	PART
dem-4200	133	47	model	model	VERB
dem-4200	133	48	m1	m1	PROPN
dem-4200	133	49	at	at	ADP
dem-4200	133	50	the	the	DET
dem-4200	133	51	5	5	NUM
dem-4200	133	52	%	%	NOUN
dem-4200	133	53	significance	significance	NOUN
dem-4200	133	54	level	level	NOUN
dem-4200	133	55	.	.	PUNCT
dem-4200	134	1	combined	combine	VERB
dem-4200	134	2	forecasts	forecast	NOUN
dem-4200	134	3	using	use	VERB
dem-4200	134	4	the	the	DET
dem-4200	134	5	akaike	akaike	ADJ
dem-4200	134	6	weights	weight	NOUN
dem-4200	134	7	13	13	NUM
dem-4200	134	8	table	table	NOUN
dem-4200	134	9	2	2	NUM
dem-4200	134	10	.	.	PUNCT
dem-4200	134	11	mean	mean	PROPN
dem-4200	134	12	square	square	PROPN
dem-4200	134	13	forecast	forecast	NOUN
dem-4200	134	14	errors	error	NOUN
dem-4200	134	15	(	(	PUNCT
dem-4200	134	16	msfe	msfe	PROPN
dem-4200	134	17	)	)	PUNCT
dem-4200	134	18	for	for	ADP
dem-4200	134	19	sample	sample	NOUN
dem-4200	134	20	n	n	NOUN
dem-4200	134	21	=	=	SYM
dem-4200	134	22	50	50	NUM
dem-4200	134	23	h	h	NOUN
dem-4200	134	24	causal	causal	NOUN
dem-4200	134	25	models	model	NOUN
dem-4200	134	26	autoregressive	autoregressive	ADJ
dem-4200	134	27	models	model	NOUN
dem-4200	134	28	waic	waic	PROPN
dem-4200	134	29	weq	weq	PROPN
dem-4200	134	30	.	.	PUNCT
dem-4200	135	1	minaic	minaic	PROPN
dem-4200	135	2	msel	msel	PROPN
dem-4200	135	3	.	.	PUNCT
dem-4200	136	1	waic	waic	PROPN
dem-4200	136	2	weq	weq	PROPN
dem-4200	136	3	.	.	PUNCT
dem-4200	137	1	minaic	minaic	PROPN
dem-4200	137	2	σε	σε	X
dem-4200	137	3	=	=	SYM
dem-4200	137	4	1	1	NUM
dem-4200	137	5	1	1	NUM
dem-4200	137	6	1.019	1.019	NUM
dem-4200	137	7	1.018	1.018	NUM
dem-4200	137	8	1.018	1.018	NUM
dem-4200	137	9	1.023	1.023	NUM
dem-4200	137	10	1.069	1.069	NUM
dem-4200	137	11	1.069	1.069	NUM
dem-4200	137	12	1.076	1.076	NUM
dem-4200	137	13	2	2	NUM
dem-4200	137	14	1.502	1.502	NUM
dem-4200	137	15	1.587	1.587	NUM
dem-4200	137	16	1.409	1.409	NUM
dem-4200	137	17	1.888	1.888	NUM
dem-4200	137	18	2.712	2.712	NUM
dem-4200	137	19	2.705	2.705	NUM
dem-4200	137	20	2.721	2.721	NUM
dem-4200	137	21	3	3	NUM
dem-4200	137	22	1.564	1.564	NUM
dem-4200	137	23	1.576	1.576	NUM
dem-4200	137	24	1.570	1.570	NUM
dem-4200	137	25	2.002	2.002	NUM
dem-4200	137	26	2.804	2.804	NUM
dem-4200	137	27	2.796	2.796	NUM
dem-4200	137	28	2.815	2.815	NUM
dem-4200	137	29	4	4	NUM
dem-4200	137	30	2.440	2.440	NUM
dem-4200	137	31	2.393	2.393	NUM
dem-4200	137	32	2.493	2.493	NUM
dem-4200	137	33	2.494	2.494	NUM
dem-4200	137	34	2.489	2.489	NUM
dem-4200	137	35	2.482	2.482	NUM
dem-4200	137	36	2.498	2.498	NUM
dem-4200	137	37	5	5	NUM
dem-4200	137	38	3.599	3.599	NUM
dem-4200	137	39	3.486	3.486	NUM
dem-4200	137	40	3.722	3.722	NUM
dem-4200	137	41	3.251	3.251	NUM
dem-4200	137	42	2.288	2.288	NUM
dem-4200	137	43	2.283	2.283	NUM
dem-4200	137	44	2.296	2.296	NUM
dem-4200	137	45	6	6	NUM
dem-4200	137	46	3.685	3.685	NUM
dem-4200	137	47	3.609	3.609	NUM
dem-4200	137	48	3.761	3.761	NUM
dem-4200	137	49	3.274	3.274	NUM
dem-4200	137	50	2.136	2.136	NUM
dem-4200	137	51	2.132	2.132	NUM
dem-4200	137	52	2.144	2.144	NUM
dem-4200	137	53	7	7	NUM
dem-4200	137	54	3.455	3.455	NUM
dem-4200	137	55	3.391	3.391	NUM
dem-4200	137	56	3.518	3.518	NUM
dem-4200	137	57	3.144	3.144	NUM
dem-4200	137	58	2.219	2.219	NUM
dem-4200	137	59	2.212	2.212	NUM
dem-4200	137	60	2.229	2.229	NUM
dem-4200	137	61	8	8	NUM
dem-4200	137	62	3.279	3.279	NUM
dem-4200	137	63	3.212	3.212	NUM
dem-4200	137	64	3.352	3.352	NUM
dem-4200	137	65	3.093	3.093	NUM
dem-4200	137	66	2.443	2.443	NUM
dem-4200	137	67	2.435	2.435	NUM
dem-4200	137	68	2.456	2.456	NUM
dem-4200	137	69	9	9	NUM
dem-4200	137	70	3.164	3.164	NUM
dem-4200	137	71	3.110	3.110	NUM
dem-4200	137	72	3.224	3.224	NUM
dem-4200	137	73	2.988	2.988	NUM
dem-4200	137	74	2.342	2.342	NUM
dem-4200	137	75	2.334	2.334	NUM
dem-4200	137	76	2.355	2.355	NUM
dem-4200	137	77	10	10	NUM
dem-4200	137	78	3.669	3.669	NUM
dem-4200	137	79	3.642	3.642	NUM
dem-4200	137	80	3.699	3.699	NUM
dem-4200	137	81	3.412	3.412	NUM
dem-4200	137	82	2.569	2.569	NUM
dem-4200	137	83	2.565	2.565	NUM
dem-4200	137	84	2.576	2.576	NUM
dem-4200	137	85	σε	σε	NOUN
dem-4200	137	86	=	=	SYM
dem-4200	137	87	2	2	NUM
dem-4200	137	88	1	1	NUM
dem-4200	137	89	3.522	3.522	NUM
dem-4200	137	90	3.508	3.508	NUM
dem-4200	137	91	3.539	3.539	NUM
dem-4200	137	92	4.230	4.230	NUM
dem-4200	137	93	5.419	5.419	NUM
dem-4200	137	94	5.399	5.399	NUM
dem-4200	137	95	5.414	5.414	NUM
dem-4200	137	96	2	2	NUM
dem-4200	137	97	3.854	3.854	NUM
dem-4200	137	98	3.803	3.803	NUM
dem-4200	137	99	3.918	3.918	NUM
dem-4200	137	100	4.644	4.644	NUM
dem-4200	137	101	5.739	5.739	NUM
dem-4200	137	102	5.711	5.711	NUM
dem-4200	137	103	5.744	5.744	NUM
dem-4200	137	104	3	3	NUM
dem-4200	137	105	4.199	4.199	NUM
dem-4200	137	106	4.100	4.100	NUM
dem-4200	137	107	4.318	4.318	NUM
dem-4200	137	108	4.900	4.900	NUM
dem-4200	137	109	5.669	5.669	NUM
dem-4200	137	110	5.641	5.641	NUM
dem-4200	137	111	5.677	5.677	NUM
dem-4200	137	112	4	4	NUM
dem-4200	137	113	4.832	4.832	NUM
dem-4200	137	114	4.671	4.671	NUM
dem-4200	137	115	5.018	5.018	NUM
dem-4200	137	116	5.261	5.261	NUM
dem-4200	137	117	5.483	5.483	NUM
dem-4200	137	118	5.458	5.458	NUM
dem-4200	137	119	5.489	5.489	NUM
dem-4200	137	120	5	5	NUM
dem-4200	137	121	5.379	5.379	NUM
dem-4200	137	122	5.222	5.222	NUM
dem-4200	137	123	5.555	5.555	NUM
dem-4200	137	124	5.668	5.668	NUM
dem-4200	137	125	5.679	5.679	NUM
dem-4200	137	126	5.660	5.660	NUM
dem-4200	137	127	5.685	5.685	NUM
dem-4200	137	128	6	6	NUM
dem-4200	137	129	5.493	5.493	NUM
dem-4200	137	130	5.324	5.324	NUM
dem-4200	137	131	5.683	5.683	NUM
dem-4200	137	132	5.616	5.616	NUM
dem-4200	137	133	5.356	5.356	NUM
dem-4200	137	134	5.340	5.340	NUM
dem-4200	137	135	5.362	5.362	NUM
dem-4200	137	136	7	7	NUM
dem-4200	137	137	6.133	6.133	NUM
dem-4200	137	138	5.955	5.955	NUM
dem-4200	137	139	6.329	6.329	NUM
dem-4200	137	140	5.949	5.949	NUM
dem-4200	137	141	5.273	5.273	NUM
dem-4200	137	142	5.262	5.262	NUM
dem-4200	137	143	5.280	5.280	NUM
dem-4200	137	144	8	8	NUM
dem-4200	137	145	6.171	6.171	NUM
dem-4200	137	146	6.016	6.016	NUM
dem-4200	137	147	6.346	6.346	NUM
dem-4200	137	148	5.890	5.890	NUM
dem-4200	137	149	5.139	5.139	NUM
dem-4200	137	150	5.130	5.130	NUM
dem-4200	137	151	5.146	5.146	NUM
dem-4200	137	152	9	9	NUM
dem-4200	137	153	6.311	6.311	NUM
dem-4200	137	154	6.195	6.195	NUM
dem-4200	137	155	6.456	6.456	NUM
dem-4200	137	156	6.048	6.048	NUM
dem-4200	137	157	5.362	5.362	NUM
dem-4200	137	158	5.357	5.357	NUM
dem-4200	137	159	5.369	5.369	NUM
dem-4200	137	160	10	10	NUM
dem-4200	137	161	6.286	6.286	NUM
dem-4200	137	162	6.189	6.189	NUM
dem-4200	137	163	6.411	6.411	NUM
dem-4200	137	164	6.034	6.034	NUM
dem-4200	137	165	5.380	5.380	NUM
dem-4200	137	166	5.376	5.376	NUM
dem-4200	137	167	5.387	5.387	NUM
dem-4200	137	168	σε	σε	NOUN
dem-4200	137	169	=	=	SYM
dem-4200	137	170	3	3	NUM
dem-4200	137	171	1	1	NUM
dem-4200	137	172	5.088	5.088	NUM
dem-4200	137	173	5.096	5.096	NUM
dem-4200	137	174	5.085	5.085	NUM
dem-4200	137	175	5.335	5.335	NUM
dem-4200	137	176	7.026	7.026	NUM
dem-4200	137	177	6.997	6.997	NUM
dem-4200	137	178	7.064	7.064	NUM
dem-4200	137	179	2	2	NUM
dem-4200	137	180	6.378	6.378	NUM
dem-4200	137	181	6.371	6.371	NUM
dem-4200	137	182	6.389	6.389	NUM
dem-4200	137	183	6.498	6.498	NUM
dem-4200	137	184	8.233	8.233	NUM
dem-4200	137	185	8.203	8.203	NUM
dem-4200	137	186	8.276	8.276	NUM
dem-4200	137	187	3	3	NUM
dem-4200	137	188	6.968	6.968	NUM
dem-4200	137	189	6.952	6.952	NUM
dem-4200	137	190	6.987	6.987	NUM
dem-4200	137	191	6.993	6.993	NUM
dem-4200	137	192	8.696	8.696	NUM
dem-4200	137	193	8.683	8.683	NUM
dem-4200	137	194	8.720	8.720	NUM
dem-4200	137	195	4	4	NUM
dem-4200	137	196	6.578	6.578	NUM
dem-4200	137	197	6.562	6.562	NUM
dem-4200	137	198	6.597	6.597	NUM
dem-4200	137	199	6.599	6.599	NUM
dem-4200	137	200	8.389	8.389	NUM
dem-4200	137	201	8.386	8.386	NUM
dem-4200	137	202	8.399	8.399	NUM
dem-4200	137	203	5	5	NUM
dem-4200	137	204	6.193	6.193	NUM
dem-4200	137	205	6.175	6.175	NUM
dem-4200	137	206	6.213	6.213	NUM
dem-4200	137	207	6.205	6.205	NUM
dem-4200	137	208	7.944	7.944	NUM
dem-4200	137	209	7.945	7.945	NUM
dem-4200	137	210	7.948	7.948	NUM
dem-4200	137	211	6	6	NUM
dem-4200	137	212	5.803	5.803	NUM
dem-4200	137	213	5.788	5.788	NUM
dem-4200	137	214	5.823	5.823	NUM
dem-4200	137	215	5.821	5.821	NUM
dem-4200	137	216	7.391	7.391	NUM
dem-4200	137	217	7.393	7.393	NUM
dem-4200	137	218	7.396	7.396	NUM
dem-4200	137	219	7	7	NUM
dem-4200	137	220	5.599	5.599	NUM
dem-4200	137	221	5.579	5.579	NUM
dem-4200	137	222	5.627	5.627	NUM
dem-4200	137	223	5.593	5.593	NUM
dem-4200	137	224	6.938	6.938	NUM
dem-4200	137	225	6.939	6.939	NUM
dem-4200	137	226	6.942	6.942	NUM
dem-4200	137	227	8	8	NUM
dem-4200	137	228	5.504	5.504	NUM
dem-4200	137	229	5.484	5.484	NUM
dem-4200	137	230	5.532	5.532	NUM
dem-4200	137	231	5.492	5.492	NUM
dem-4200	137	232	6.593	6.593	NUM
dem-4200	137	233	6.594	6.594	NUM
dem-4200	137	234	6.597	6.597	NUM
dem-4200	137	235	9	9	NUM
dem-4200	137	236	5.325	5.325	NUM
dem-4200	137	237	5.308	5.308	NUM
dem-4200	137	238	5.351	5.351	NUM
dem-4200	137	239	5.334	5.334	NUM
dem-4200	137	240	6.456	6.456	NUM
dem-4200	137	241	6.458	6.458	NUM
dem-4200	137	242	6.459	6.459	NUM
dem-4200	137	243	10	10	NUM
dem-4200	137	244	5.181	5.181	NUM
dem-4200	137	245	5.166	5.166	NUM
dem-4200	137	246	5.206	5.206	NUM
dem-4200	137	247	5.228	5.228	NUM
dem-4200	137	248	6.601	6.601	NUM
dem-4200	137	249	6.603	6.603	NUM
dem-4200	137	250	6.603	6.603	NUM
dem-4200	137	251	note	note	NOUN
dem-4200	137	252	:	:	PUNCT
dem-4200	137	253	see	see	VERB
dem-4200	137	254	table	table	NOUN
dem-4200	137	255	1	1	NUM
dem-4200	137	256	.	.	PUNCT
dem-4200	138	1	in	in	ADP
dem-4200	138	2	the	the	DET
dem-4200	138	3	case	case	NOUN
dem-4200	138	4	of	of	ADP
dem-4200	138	5	autoregressive	autoregressive	ADJ
dem-4200	138	6	models	model	NOUN
dem-4200	138	7	the	the	DET
dem-4200	138	8	forecasts	forecast	NOUN
dem-4200	138	9	from	from	ADP
dem-4200	138	10	models	model	NOUN
dem-4200	138	11	selected	select	VERB
dem-4200	138	12	by	by	ADP
dem-4200	138	13	the	the	DET
dem-4200	138	14	aic	aic	PROPN
dem-4200	138	15	gave	give	VERB
dem-4200	138	16	the	the	DET
dem-4200	138	17	lowest	low	ADJ
dem-4200	138	18	msfe	msfe	NOUN
dem-4200	138	19	for	for	ADP
dem-4200	138	20	small	small	ADJ
dem-4200	138	21	size	size	NOUN
dem-4200	138	22	of	of	ADP
dem-4200	138	23	disturbance	disturbance	NOUN
dem-4200	138	24	σε	σε	PROPN
dem-4200	139	1	=	=	NOUN
dem-4200	139	2	1	1	NUM
dem-4200	139	3	for	for	ADP
dem-4200	139	4	the	the	DET
dem-4200	139	5	same	same	ADJ
dem-4200	139	6	reasons	reason	NOUN
dem-4200	139	7	as	as	ADP
dem-4200	139	8	in	in	ADP
dem-4200	139	9	the	the	DET
dem-4200	139	10	case	case	NOUN
dem-4200	139	11	of	of	ADP
dem-4200	139	12	causal	causal	ADJ
dem-4200	139	13	models	model	NOUN
dem-4200	139	14	,	,	PUNCT
dem-4200	139	15	i.e.	i.e.	X
dem-4200	139	16	the	the	DET
dem-4200	139	17	set	set	NOUN
dem-4200	139	18	of	of	ADP
dem-4200	139	19	candidate	candidate	NOUN
dem-4200	139	20	models	model	NOUN
dem-4200	139	21	contained	contain	VERB
dem-4200	139	22	the	the	DET
dem-4200	139	23	small	small	ADJ
dem-4200	139	24	number	number	NOUN
dem-4200	139	25	of	of	ADP
dem-4200	139	26	models	model	NOUN
dem-4200	139	27	(	(	PUNCT
dem-4200	139	28	here	here	ADV
dem-4200	139	29	ar(2	ar(2	NOUN
dem-4200	139	30	)	)	PUNCT
dem-4200	139	31	,	,	PUNCT
dem-4200	139	32	ar(3	ar(3	NOUN
dem-4200	139	33	)	)	PUNCT
dem-4200	139	34	and	and	CCONJ
dem-4200	139	35	ar(4	ar(4	NOUN
dem-4200	139	36	)	)	PUNCT
dem-4200	139	37	)	)	PUNCT
dem-4200	140	1	and	and	CCONJ
dem-4200	140	2	one	one	NUM
dem-4200	140	3	mariola	mariola	PROPN
dem-4200	140	4	piłatowska	piłatowska	PROPN
dem-4200	140	5	14	14	NUM
dem-4200	140	6	model	model	NOUN
dem-4200	140	7	had	have	VERB
dem-4200	140	8	a	a	DET
dem-4200	140	9	dominating	dominating	NOUN
dem-4200	140	10	aic	aic	PROPN
dem-4200	140	11	weight	weight	NOUN
dem-4200	140	12	(	(	PUNCT
dem-4200	140	13	0.5	0.5	NUM
dem-4200	140	14	<	<	X
dem-4200	140	15	waic	waic	PROPN
dem-4200	140	16	<	<	X
dem-4200	140	17	0.6	0.6	NUM
dem-4200	140	18	)	)	PUNCT
dem-4200	140	19	.	.	PUNCT
dem-4200	141	1	hence	hence	ADV
dem-4200	141	2	,	,	PUNCT
dem-4200	141	3	in	in	ADP
dem-4200	141	4	the	the	DET
dem-4200	141	5	sense	sense	NOUN
dem-4200	141	6	of	of	ADP
dem-4200	141	7	the	the	DET
dem-4200	141	8	msfe	msfe	PROPN
dem-4200	141	9	,	,	PUNCT
dem-4200	141	10	the	the	DET
dem-4200	141	11	individual	individual	ADJ
dem-4200	141	12	forecasts	forecast	NOUN
dem-4200	141	13	outperformed	outperform	VERB
dem-4200	141	14	the	the	DET
dem-4200	141	15	combined	combine	VERB
dem-4200	141	16	forecasts	forecast	NOUN
dem-4200	141	17	.	.	PUNCT
dem-4200	142	1	for	for	ADP
dem-4200	142	2	the	the	DET
dem-4200	142	3	bigger	big	ADJ
dem-4200	142	4	size	size	NOUN
dem-4200	142	5	of	of	ADP
dem-4200	142	6	disturbance	disturbance	NOUN
dem-4200	142	7	,	,	PUNCT
dem-4200	142	8	i.e.	i.e.	X
dem-4200	142	9	σε	σε	X
dem-4200	142	10	=	=	SYM
dem-4200	142	11	2	2	NUM
dem-4200	142	12	(	(	PUNCT
dem-4200	142	13	and	and	CCONJ
dem-4200	142	14	bigger	big	ADJ
dem-4200	142	15	uncertainty	uncertainty	NOUN
dem-4200	142	16	)	)	PUNCT
dem-4200	142	17	and	and	CCONJ
dem-4200	142	18	at	at	ADP
dem-4200	142	19	the	the	DET
dem-4200	142	20	shorter	short	ADJ
dem-4200	142	21	horizon	horizon	NOUN
dem-4200	142	22	(	(	PUNCT
dem-4200	142	23	h	h	NOUN
dem-4200	142	24	≤	≤	NOUN
dem-4200	142	25	5	5	NUM
dem-4200	142	26	)	)	PUNCT
dem-4200	142	27	the	the	DET
dem-4200	142	28	dominance	dominance	NOUN
dem-4200	142	29	of	of	ADP
dem-4200	142	30	forecasts	forecast	NOUN
dem-4200	142	31	combined	combine	VERB
dem-4200	142	32	using	use	VERB
dem-4200	142	33	equal	equal	ADJ
dem-4200	142	34	weights	weight	NOUN
dem-4200	142	35	is	be	AUX
dem-4200	142	36	observed	observe	VERB
dem-4200	142	37	,	,	PUNCT
dem-4200	142	38	and	and	CCONJ
dem-4200	142	39	at	at	ADP
dem-4200	142	40	the	the	DET
dem-4200	142	41	longer	long	ADJ
dem-4200	142	42	horizons	horizon	NOUN
dem-4200	142	43	(	(	PUNCT
dem-4200	142	44	h	h	NOUN
dem-4200	142	45	≥	≥	NOUN
dem-4200	142	46	6	6	NUM
dem-4200	142	47	)	)	PUNCT
dem-4200	142	48	the	the	DET
dem-4200	142	49	dominance	dominance	NOUN
dem-4200	142	50	of	of	ADP
dem-4200	142	51	forecasts	forecast	NOUN
dem-4200	142	52	combined	combine	VERB
dem-4200	142	53	using	use	VERB
dem-4200	142	54	the	the	DET
dem-4200	142	55	aic	aic	PROPN
dem-4200	142	56	weights	weight	NOUN
dem-4200	142	57	occurs	occur	VERB
dem-4200	142	58	.	.	PUNCT
dem-4200	143	1	for	for	ADP
dem-4200	143	2	the	the	DET
dem-4200	143	3	disturbance	disturbance	NOUN
dem-4200	143	4	σε	σε	NOUN
dem-4200	143	5	=	=	SYM
dem-4200	143	6	3	3	NUM
dem-4200	143	7	the	the	DET
dem-4200	143	8	forecasts	forecast	NOUN
dem-4200	143	9	combined	combine	VERB
dem-4200	143	10	using	use	VERB
dem-4200	143	11	equal	equal	ADJ
dem-4200	143	12	weights	weight	NOUN
dem-4200	143	13	slightly	slightly	ADV
dem-4200	143	14	outperform	outperform	VERB
dem-4200	143	15	the	the	DET
dem-4200	143	16	forecast	forecast	NOUN
dem-4200	143	17	combined	combine	VERB
dem-4200	143	18	using	use	VERB
dem-4200	143	19	the	the	DET
dem-4200	143	20	aic	aic	PROPN
dem-4200	143	21	weights	weight	NOUN
dem-4200	143	22	and	and	CCONJ
dem-4200	143	23	individual	individual	ADJ
dem-4200	143	24	forecast	forecast	NOUN
dem-4200	143	25	(	(	PUNCT
dem-4200	143	26	minaic	minaic	PROPN
dem-4200	143	27	)	)	PUNCT
dem-4200	143	28	–	–	PUNCT
dem-4200	143	29	see	see	VERB
dem-4200	143	30	table	table	NOUN
dem-4200	143	31	1	1	NUM
dem-4200	143	32	.	.	PUNCT
dem-4200	144	1	generally	generally	ADV
dem-4200	144	2	,	,	PUNCT
dem-4200	144	3	the	the	DET
dem-4200	144	4	combined	combine	VERB
dem-4200	144	5	forecasts	forecast	NOUN
dem-4200	144	6	gave	give	VERB
dem-4200	144	7	the	the	DET
dem-4200	144	8	lower	low	ADJ
dem-4200	144	9	msfe	msfe	NOUN
dem-4200	144	10	than	than	ADP
dem-4200	144	11	the	the	DET
dem-4200	144	12	individual	individual	ADJ
dem-4200	144	13	forecasts	forecast	NOUN
dem-4200	144	14	.	.	PUNCT
dem-4200	145	1	this	this	PRON
dem-4200	145	2	refers	refer	VERB
dem-4200	145	3	to	to	ADP
dem-4200	145	4	the	the	DET
dem-4200	145	5	cases	case	NOUN
dem-4200	145	6	when	when	SCONJ
dem-4200	145	7	the	the	DET
dem-4200	145	8	set	set	NOUN
dem-4200	145	9	of	of	ADP
dem-4200	145	10	models	model	NOUN
dem-4200	145	11	consisted	consist	VERB
dem-4200	145	12	of	of	ADP
dem-4200	145	13	many	many	ADJ
dem-4200	145	14	autoregressive	autoregressive	ADJ
dem-4200	145	15	models	model	NOUN
dem-4200	145	16	of	of	ADP
dem-4200	145	17	different	different	ADJ
dem-4200	145	18	order	order	NOUN
dem-4200	145	19	and	and	CCONJ
dem-4200	145	20	none	none	NOUN
dem-4200	145	21	of	of	ADP
dem-4200	145	22	them	they	PRON
dem-4200	145	23	had	have	VERB
dem-4200	145	24	the	the	DET
dem-4200	145	25	dominating	dominating	NOUN
dem-4200	145	26	aic	aic	PROPN
dem-4200	145	27	weight	weight	PROPN
dem-4200	145	28	.	.	PUNCT
dem-4200	146	1	then	then	ADV
dem-4200	146	2	,	,	PUNCT
dem-4200	146	3	the	the	DET
dem-4200	146	4	lower	low	ADJ
dem-4200	146	5	msfes	msfe	NOUN
dem-4200	146	6	are	be	AUX
dem-4200	146	7	received	receive	VERB
dem-4200	146	8	for	for	ADP
dem-4200	146	9	combined	combine	VERB
dem-4200	146	10	forecasts	forecast	NOUN
dem-4200	146	11	.	.	PUNCT
dem-4200	147	1	the	the	DET
dem-4200	147	2	results	result	NOUN
dem-4200	147	3	tabulated	tabulate	VERB
dem-4200	147	4	in	in	ADP
dem-4200	147	5	table	table	NOUN
dem-4200	147	6	2	2	NUM
dem-4200	147	7	,	,	PUNCT
dem-4200	147	8	for	for	ADP
dem-4200	147	9	sample	sample	NOUN
dem-4200	147	10	n	n	NOUN
dem-4200	147	11	=	=	SYM
dem-4200	147	12	50	50	NUM
dem-4200	147	13	indicate	indicate	VERB
dem-4200	147	14	that	that	SCONJ
dem-4200	147	15	for	for	ADP
dem-4200	147	16	the	the	DET
dem-4200	147	17	causal	causal	NOUN
dem-4200	147	18	models	model	NOUN
dem-4200	147	19	the	the	DET
dem-4200	147	20	msfes	msfe	NOUN
dem-4200	147	21	are	be	AUX
dem-4200	147	22	lower	low	ADJ
dem-4200	147	23	for	for	ADP
dem-4200	147	24	forecasts	forecast	NOUN
dem-4200	147	25	combined	combine	VERB
dem-4200	147	26	using	use	VERB
dem-4200	147	27	equal	equal	ADJ
dem-4200	147	28	weights	weight	NOUN
dem-4200	147	29	than	than	ADP
dem-4200	147	30	those	those	PRON
dem-4200	147	31	using	use	VERB
dem-4200	147	32	the	the	DET
dem-4200	147	33	aic	aic	PROPN
dem-4200	147	34	weights	weight	NOUN
dem-4200	147	35	for	for	ADP
dem-4200	147	36	all	all	DET
dem-4200	147	37	size	size	NOUN
dem-4200	147	38	of	of	ADP
dem-4200	147	39	disturbance	disturbance	NOUN
dem-4200	147	40	(	(	PUNCT
dem-4200	147	41	except	except	SCONJ
dem-4200	147	42	σε	σε	PROPN
dem-4200	147	43	=	=	SYM
dem-4200	147	44	1	1	NUM
dem-4200	147	45	and	and	CCONJ
dem-4200	147	46	h	h	NOUN
dem-4200	147	47	=	=	NOUN
dem-4200	147	48	1	1	NUM
dem-4200	147	49	,	,	PUNCT
dem-4200	147	50	2	2	NUM
dem-4200	147	51	)	)	PUNCT
dem-4200	147	52	.	.	PUNCT
dem-4200	148	1	the	the	DET
dem-4200	148	2	dominance	dominance	NOUN
dem-4200	148	3	of	of	ADP
dem-4200	148	4	combined	combined	ADJ
dem-4200	148	5	forecasts	forecast	NOUN
dem-4200	148	6	(	(	PUNCT
dem-4200	148	7	waic	waic	ADJ
dem-4200	148	8	,	,	PUNCT
dem-4200	148	9	weq	weq	PROPN
dem-4200	148	10	.	.	PUNCT
dem-4200	148	11	)	)	PUNCT
dem-4200	149	1	or	or	CCONJ
dem-4200	149	2	individual	individual	ADJ
dem-4200	149	3	forecasts	forecast	NOUN
dem-4200	149	4	(	(	PUNCT
dem-4200	149	5	minaic	minaic	ADJ
dem-4200	149	6	,	,	PUNCT
dem-4200	149	7	msel	msel	NOUN
dem-4200	149	8	.	.	PUNCT
dem-4200	149	9	)	)	PUNCT
dem-4200	149	10	depends	depend	VERB
dem-4200	149	11	on	on	ADP
dem-4200	149	12	the	the	DET
dem-4200	149	13	forecast	forecast	NOUN
dem-4200	149	14	horizon	horizon	NOUN
dem-4200	149	15	and	and	CCONJ
dem-4200	149	16	size	size	NOUN
dem-4200	149	17	of	of	ADP
dem-4200	149	18	disturbance	disturbance	NOUN
dem-4200	149	19	σε	σε	PROPN
dem-4200	149	20	.	.	PUNCT
dem-4200	150	1	for	for	ADP
dem-4200	150	2	horizon	horizon	NOUN
dem-4200	150	3	h	h	NOUN
dem-4200	150	4	≤	≤	ADV
dem-4200	150	5	4	4	NUM
dem-4200	150	6	and	and	CCONJ
dem-4200	150	7	disturbance	disturbance	NOUN
dem-4200	150	8	σε	σε	NOUN
dem-4200	150	9	=	=	SYM
dem-4200	150	10	1	1	NUM
dem-4200	150	11	(	(	PUNCT
dem-4200	150	12	also	also	ADV
dem-4200	150	13	σε	σε	X
dem-4200	150	14	=	=	SYM
dem-4200	150	15	2	2	NUM
dem-4200	150	16	and	and	CCONJ
dem-4200	150	17	h	h	NOUN
dem-4200	150	18	≤	≤	ADV
dem-4200	150	19	7	7	NUM
dem-4200	150	20	;	;	PUNCT
dem-4200	150	21	σε	σε	X
dem-4200	150	22	=	=	NOUN
dem-4200	150	23	3	3	X
dem-4200	150	24	)	)	PUNCT
dem-4200	150	25	the	the	DET
dem-4200	150	26	msfes	msfe	NOUN
dem-4200	150	27	for	for	ADP
dem-4200	150	28	combined	combined	ADJ
dem-4200	150	29	forecasts	forecast	NOUN
dem-4200	150	30	are	be	AUX
dem-4200	150	31	lower	low	ADJ
dem-4200	150	32	than	than	ADP
dem-4200	150	33	for	for	ADP
dem-4200	150	34	forecasts	forecast	NOUN
dem-4200	150	35	from	from	ADP
dem-4200	150	36	the	the	DET
dem-4200	150	37	best	good	ADJ
dem-4200	150	38	model	model	NOUN
dem-4200	150	39	selected	select	VERB
dem-4200	150	40	by	by	ADP
dem-4200	150	41	a	a	DET
dem-4200	150	42	posteriori	posteriori	NOUN
dem-4200	150	43	method	method	NOUN
dem-4200	150	44	(	(	PUNCT
dem-4200	150	45	msel	msel	NOUN
dem-4200	150	46	.	.	PUNCT
dem-4200	150	47	)	)	PUNCT
dem-4200	150	48	,	,	PUNCT
dem-4200	150	49	but	but	CCONJ
dem-4200	150	50	for	for	ADP
dem-4200	150	51	longer	long	ADJ
dem-4200	150	52	horizon	horizon	PROPN
dem-4200	150	53	h	h	PROPN
dem-4200	150	54	≥	≥	PROPN
dem-4200	150	55	5	5	NUM
dem-4200	150	56	(	(	PUNCT
dem-4200	150	57	for	for	ADP
dem-4200	150	58	σε	σε	NOUN
dem-4200	150	59	=	=	SYM
dem-4200	150	60	1	1	NUM
dem-4200	150	61	)	)	PUNCT
dem-4200	150	62	and	and	CCONJ
dem-4200	150	63	h	h	PROPN
dem-4200	150	64	≥	≥	PROPN
dem-4200	150	65	7	7	NUM
dem-4200	150	66	(	(	PUNCT
dem-4200	150	67	for	for	ADP
dem-4200	150	68	σε	σε	NOUN
dem-4200	150	69	=	=	SYM
dem-4200	150	70	2	2	NUM
dem-4200	150	71	)	)	PUNCT
dem-4200	150	72	the	the	DET
dem-4200	150	73	msfes	msfe	NOUN
dem-4200	150	74	are	be	AUX
dem-4200	150	75	lower	low	ADJ
dem-4200	150	76	for	for	ADP
dem-4200	150	77	forecasts	forecast	NOUN
dem-4200	150	78	from	from	ADP
dem-4200	150	79	msel	msel	NOUN
dem-4200	150	80	..	..	PUNCT
dem-4200	150	81	forecasts	forecast	NOUN
dem-4200	150	82	from	from	ADP
dem-4200	150	83	models	model	NOUN
dem-4200	150	84	selected	select	VERB
dem-4200	150	85	by	by	ADP
dem-4200	150	86	the	the	DET
dem-4200	150	87	minimum	minimum	NOUN
dem-4200	150	88	of	of	ADP
dem-4200	150	89	aic	aic	PROPN
dem-4200	150	90	have	have	VERB
dem-4200	150	91	the	the	DET
dem-4200	150	92	higher	high	ADJ
dem-4200	150	93	msfes	msfe	NOUN
dem-4200	150	94	than	than	ADP
dem-4200	150	95	combined	combine	VERB
dem-4200	150	96	forecasts	forecast	NOUN
dem-4200	150	97	and	and	CCONJ
dem-4200	150	98	in	in	ADP
dem-4200	150	99	general	general	ADJ
dem-4200	150	100	also	also	ADV
dem-4200	150	101	higher	high	ADJ
dem-4200	150	102	than	than	ADP
dem-4200	150	103	forecasts	forecast	NOUN
dem-4200	150	104	from	from	ADP
dem-4200	150	105	msel	msel	NOUN
dem-4200	150	106	..	..	PUNCT
dem-4200	150	107	in	in	ADP
dem-4200	150	108	the	the	DET
dem-4200	150	109	case	case	NOUN
dem-4200	150	110	of	of	ADP
dem-4200	150	111	autoregressive	autoregressive	ADJ
dem-4200	150	112	models	model	NOUN
dem-4200	150	113	the	the	DET
dem-4200	150	114	msfes	msfe	NOUN
dem-4200	150	115	for	for	ADP
dem-4200	150	116	combined	combined	ADJ
dem-4200	150	117	forecasts	forecast	NOUN
dem-4200	150	118	are	be	AUX
dem-4200	150	119	always	always	ADV
dem-4200	150	120	lower	low	ADJ
dem-4200	150	121	than	than	ADP
dem-4200	150	122	for	for	ADP
dem-4200	150	123	individual	individual	ADJ
dem-4200	150	124	forecasts	forecast	NOUN
dem-4200	150	125	(	(	PUNCT
dem-4200	150	126	minaic	minaic	ADJ
dem-4200	150	127	)	)	PUNCT
dem-4200	150	128	–	–	PUNCT
dem-4200	150	129	see	see	VERB
dem-4200	150	130	table	table	NOUN
dem-4200	150	131	2	2	NUM
dem-4200	150	132	.	.	PUNCT
dem-4200	150	133	simultaneously	simultaneously	ADV
dem-4200	150	134	the	the	DET
dem-4200	150	135	combined	combine	VERB
dem-4200	150	136	forecasts	forecast	NOUN
dem-4200	150	137	using	use	VERB
dem-4200	150	138	equal	equal	ADJ
dem-4200	150	139	weights	weight	NOUN
dem-4200	150	140	(	(	PUNCT
dem-4200	150	141	weq	weq	NOUN
dem-4200	150	142	.	.	PUNCT
dem-4200	150	143	)	)	PUNCT
dem-4200	151	1	outperform	outperform	VERB
dem-4200	151	2	those	those	PRON
dem-4200	151	3	using	use	VERB
dem-4200	151	4	the	the	DET
dem-4200	151	5	aic	aic	PROPN
dem-4200	151	6	weights	weight	NOUN
dem-4200	151	7	(	(	PUNCT
dem-4200	151	8	waic	waic	ADJ
dem-4200	151	9	)	)	PUNCT
dem-4200	151	10	.	.	PUNCT
dem-4200	152	1	5	5	X
dem-4200	152	2	.	.	X
dem-4200	152	3	summary	summary	NOUN
dem-4200	152	4	from	from	ADP
dem-4200	152	5	comparison	comparison	NOUN
dem-4200	152	6	of	of	ADP
dem-4200	152	7	forecasts	forecast	NOUN
dem-4200	152	8	combined	combine	VERB
dem-4200	152	9	using	use	VERB
dem-4200	152	10	the	the	DET
dem-4200	152	11	aic	aic	PROPN
dem-4200	152	12	weights	weight	NOUN
dem-4200	152	13	and	and	CCONJ
dem-4200	152	14	equal	equal	ADJ
dem-4200	152	15	weights	weight	NOUN
dem-4200	152	16	results	result	NOUN
dem-4200	153	1	that	that	SCONJ
dem-4200	153	2	in	in	ADP
dem-4200	153	3	the	the	DET
dem-4200	153	4	case	case	NOUN
dem-4200	153	5	when	when	SCONJ
dem-4200	153	6	the	the	DET
dem-4200	153	7	set	set	NOUN
dem-4200	153	8	of	of	ADP
dem-4200	153	9	candidate	candidate	NOUN
dem-4200	153	10	models	model	NOUN
dem-4200	153	11	contains	contain	VERB
dem-4200	153	12	the	the	DET
dem-4200	153	13	model	model	NOUN
dem-4200	153	14	with	with	ADP
dem-4200	153	15	dominating	dominate	VERB
dem-4200	153	16	aic	aic	PROPN
dem-4200	153	17	weight	weight	NOUN
dem-4200	153	18	(	(	PUNCT
dem-4200	153	19	waic	waic	ADV
dem-4200	153	20	>	>	X
dem-4200	153	21	0.7	0.7	NUM
dem-4200	153	22	)	)	PUNCT
dem-4200	153	23	the	the	DET
dem-4200	153	24	combination	combination	NOUN
dem-4200	153	25	of	of	ADP
dem-4200	153	26	forecasts	forecast	NOUN
dem-4200	153	27	using	use	VERB
dem-4200	153	28	the	the	DET
dem-4200	153	29	aic	aic	PROPN
dem-4200	153	30	weights	weight	NOUN
dem-4200	153	31	is	be	AUX
dem-4200	153	32	not	not	PART
dem-4200	153	33	effective	effective	ADJ
dem-4200	153	34	.	.	PUNCT
dem-4200	154	1	then	then	ADV
dem-4200	154	2	the	the	DET
dem-4200	154	3	msfes	msfe	NOUN
dem-4200	154	4	are	be	AUX
dem-4200	154	5	higher	high	ADJ
dem-4200	154	6	than	than	ADP
dem-4200	154	7	those	those	PRON
dem-4200	154	8	for	for	ADP
dem-4200	154	9	forecasts	forecast	NOUN
dem-4200	154	10	combined	combine	VERB
dem-4200	154	11	using	use	VERB
dem-4200	154	12	equal	equal	ADJ
dem-4200	154	13	weights	weight	NOUN
dem-4200	154	14	.	.	PUNCT
dem-4200	155	1	however	however	ADV
dem-4200	155	2	,	,	PUNCT
dem-4200	155	3	in	in	ADP
dem-4200	155	4	such	such	ADJ
dem-4200	155	5	case	case	NOUN
dem-4200	155	6	the	the	DET
dem-4200	155	7	aic	aic	PROPN
dem-4200	155	8	weights	weight	NOUN
dem-4200	155	9	can	can	AUX
dem-4200	155	10	be	be	AUX
dem-4200	155	11	useful	useful	ADJ
dem-4200	155	12	in	in	ADP
dem-4200	155	13	building	build	VERB
dem-4200	155	14	ranking	rank	VERB
dem-4200	155	15	of	of	ADP
dem-4200	155	16	models	model	NOUN
dem-4200	155	17	,	,	PUNCT
dem-4200	155	18	and	and	CCONJ
dem-4200	155	19	additionally	additionally	ADV
dem-4200	155	20	in	in	ADP
dem-4200	155	21	calculating	calculate	VERB
dem-4200	155	22	the	the	DET
dem-4200	155	23	evidence	evidence	NOUN
dem-4200	155	24	ratios	ratio	NOUN
dem-4200	155	25	informing	inform	VERB
dem-4200	155	26	about	about	ADP
dem-4200	155	27	the	the	DET
dem-4200	155	28	relative	relative	ADJ
dem-4200	155	29	strength	strength	NOUN
dem-4200	155	30	of	of	ADP
dem-4200	155	31	evidence	evidence	NOUN
dem-4200	155	32	for	for	ADP
dem-4200	155	33	the	the	DET
dem-4200	155	34	best	good	ADJ
dem-4200	155	35	model	model	NOUN
dem-4200	155	36	(	(	PUNCT
dem-4200	155	37	with	with	ADP
dem-4200	155	38	biggest	big	ADJ
dem-4200	155	39	weight	weight	NOUN
dem-4200	155	40	)	)	PUNCT
dem-4200	155	41	in	in	ADP
dem-4200	155	42	the	the	DET
dem-4200	155	43	sense	sense	NOUN
dem-4200	155	44	of	of	ADP
dem-4200	155	45	aic	aic	PROPN
dem-4200	155	46	over	over	ADP
dem-4200	155	47	the	the	DET
dem-4200	155	48	other	other	ADJ
dem-4200	155	49	models	model	NOUN
dem-4200	155	50	in	in	ADP
dem-4200	155	51	the	the	DET
dem-4200	155	52	set	set	NOUN
dem-4200	155	53	of	of	ADP
dem-4200	155	54	candidate	candidate	NOUN
dem-4200	155	55	models	model	NOUN
dem-4200	155	56	.	.	PUNCT
dem-4200	156	1	the	the	DET
dem-4200	156	2	benefits	benefit	NOUN
dem-4200	156	3	from	from	ADP
dem-4200	156	4	applying	apply	VERB
dem-4200	156	5	the	the	DET
dem-4200	156	6	aic	aic	PROPN
dem-4200	156	7	weights	weight	NOUN
dem-4200	156	8	occur	occur	VERB
dem-4200	156	9	when	when	SCONJ
dem-4200	156	10	the	the	DET
dem-4200	156	11	number	number	NOUN
dem-4200	156	12	of	of	ADP
dem-4200	156	13	candidate	candidate	NOUN
dem-4200	156	14	models	model	NOUN
dem-4200	156	15	in	in	ADP
dem-4200	156	16	the	the	DET
dem-4200	156	17	set	set	NOUN
dem-4200	156	18	is	be	AUX
dem-4200	156	19	big	big	ADJ
dem-4200	156	20	and	and	CCONJ
dem-4200	156	21	none	none	NOUN
dem-4200	156	22	has	have	VERB
dem-4200	156	23	the	the	DET
dem-4200	156	24	dominating	dominating	NOUN
dem-4200	156	25	weight	weight	NOUN
dem-4200	156	26	waic	waic	ADV
dem-4200	156	27	.	.	PUNCT
dem-4200	157	1	the	the	DET
dem-4200	157	2	results	result	NOUN
dem-4200	157	3	of	of	ADP
dem-4200	157	4	experiment	experiment	NOUN
dem-4200	157	5	indicate	indicate	VERB
dem-4200	157	6	that	that	SCONJ
dem-4200	157	7	the	the	DET
dem-4200	157	8	combined	combine	VERB
dem-4200	157	9	forecasts	forecast	NOUN
dem-4200	157	10	outperform	outperform	VERB
dem-4200	157	11	the	the	DET
dem-4200	157	12	individual	individual	ADJ
dem-4200	157	13	forecasts	forecast	NOUN
dem-4200	157	14	in	in	ADP
dem-4200	157	15	the	the	DET
dem-4200	157	16	case	case	NOUN
dem-4200	157	17	of	of	ADP
dem-4200	157	18	autoregressive	autoregressive	ADJ
dem-4200	157	19	models	model	NOUN
dem-4200	157	20	.	.	PUNCT
dem-4200	158	1	for	for	ADP
dem-4200	158	2	causal	causal	ADJ
dem-4200	158	3	models	model	NOUN
dem-4200	158	4	combined	combine	VERB
dem-4200	158	5	forecasts	forecast	NOUN
dem-4200	158	6	using	use	VERB
dem-4200	158	7	the	the	DET
dem-4200	158	8	akaike	akaike	ADJ
dem-4200	158	9	weights	weight	NOUN
dem-4200	158	10	15	15	NUM
dem-4200	158	11	this	this	DET
dem-4200	158	12	dominance	dominance	NOUN
dem-4200	158	13	of	of	ADP
dem-4200	158	14	combined	combine	VERB
dem-4200	158	15	forecasts	forecast	NOUN
dem-4200	158	16	is	be	AUX
dem-4200	158	17	hold	hold	VERB
dem-4200	158	18	at	at	ADP
dem-4200	158	19	the	the	DET
dem-4200	158	20	shorter	short	ADJ
dem-4200	158	21	horizon	horizon	NOUN
dem-4200	158	22	for	for	ADP
dem-4200	158	23	disturbance	disturbance	NOUN
dem-4200	158	24	σε	σε	NOUN
dem-4200	158	25	=	=	NOUN
dem-4200	158	26	1	1	NUM
dem-4200	158	27	,	,	PUNCT
dem-4200	158	28	2	2	NUM
dem-4200	158	29	and	and	CCONJ
dem-4200	158	30	at	at	ADP
dem-4200	158	31	the	the	DET
dem-4200	158	32	whole	whole	ADJ
dem-4200	158	33	horizon	horizon	NOUN
dem-4200	158	34	for	for	ADP
dem-4200	158	35	bigger	big	ADJ
dem-4200	158	36	size	size	NOUN
dem-4200	158	37	of	of	ADP
dem-4200	158	38	disturbance	disturbance	NOUN
dem-4200	158	39	σε	σε	NOUN
dem-4200	158	40	=	=	NOUN
dem-4200	158	41	3	3	X
dem-4200	158	42	.	.	PUNCT
dem-4200	158	43	summing	sum	VERB
dem-4200	158	44	up	up	ADP
dem-4200	158	45	,	,	PUNCT
dem-4200	158	46	the	the	DET
dem-4200	158	47	information	information	NOUN
dem-4200	158	48	criteria	criterion	NOUN
dem-4200	158	49	approach	approach	NOUN
dem-4200	158	50	,	,	PUNCT
dem-4200	158	51	particularly	particularly	ADV
dem-4200	158	52	the	the	DET
dem-4200	158	53	use	use	NOUN
dem-4200	158	54	of	of	ADP
dem-4200	158	55	aic	aic	PROPN
dem-4200	158	56	weights	weight	NOUN
dem-4200	158	57	to	to	PART
dem-4200	158	58	build	build	VERB
dem-4200	158	59	the	the	DET
dem-4200	158	60	ranking	ranking	NOUN
dem-4200	158	61	of	of	ADP
dem-4200	158	62	models	model	NOUN
dem-4200	158	63	and	and	CCONJ
dem-4200	158	64	to	to	PART
dem-4200	158	65	calculate	calculate	VERB
dem-4200	158	66	the	the	DET
dem-4200	158	67	combined	combine	VERB
dem-4200	158	68	forecasts	forecast	NOUN
dem-4200	158	69	,	,	PUNCT
dem-4200	158	70	can	can	AUX
dem-4200	158	71	be	be	AUX
dem-4200	158	72	treated	treat	VERB
dem-4200	158	73	as	as	ADP
dem-4200	158	74	alternative	alternative	ADJ
dem-4200	158	75	to	to	ADP
dem-4200	158	76	the	the	DET
dem-4200	158	77	traditional	traditional	ADJ
dem-4200	158	78	hypothesis	hypothesis	NOUN
dem-4200	158	79	testing	testing	NOUN
dem-4200	158	80	approach	approach	NOUN
dem-4200	158	81	directed	direct	VERB
dem-4200	158	82	to	to	PART
dem-4200	158	83	select	select	VERB
dem-4200	158	84	the	the	DET
dem-4200	158	85	best	good	ADJ
dem-4200	158	86	model	model	NOUN
dem-4200	158	87	and	and	CCONJ
dem-4200	158	88	calculate	calculate	VERB
dem-4200	158	89	individual	individual	ADJ
dem-4200	158	90	forecasts	forecast	NOUN
dem-4200	158	91	.	.	PUNCT
dem-4200	159	1	references	reference	NOUN
dem-4200	159	2	akaike	akaike	ADJ
dem-4200	159	3	,	,	PUNCT
dem-4200	159	4	h.	h.	PROPN
dem-4200	159	5	(	(	PUNCT
dem-4200	159	6	1973	1973	NUM
dem-4200	159	7	)	)	PUNCT
dem-4200	159	8	,	,	PUNCT
dem-4200	159	9	information	information	NOUN
dem-4200	159	10	theory	theory	NOUN
dem-4200	159	11	as	as	ADP
dem-4200	159	12	an	an	DET
dem-4200	159	13	extension	extension	NOUN
dem-4200	159	14	of	of	ADP
dem-4200	159	15	the	the	DET
dem-4200	159	16	maximum	maximum	ADJ
dem-4200	159	17	likelihood	likelihood	NOUN
dem-4200	159	18	principle	principle	NOUN
dem-4200	159	19	,	,	PUNCT
dem-4200	159	20	[	[	X
dem-4200	159	21	in	in	ADP
dem-4200	159	22	:]	:]	PROPN
dem-4200	159	23	petrov	petrov	PROPN
dem-4200	159	24	,	,	PUNCT
dem-4200	159	25	b.	b.	PROPN
dem-4200	159	26	n.	n.	PROPN
dem-4200	159	27	,	,	PUNCT
dem-4200	159	28	csaki	csaki	PROPN
dem-4200	159	29	,	,	PUNCT
dem-4200	159	30	f.	f.	PROPN
dem-4200	159	31	,	,	PUNCT
dem-4200	159	32	second	second	ADJ
dem-4200	159	33	international	international	ADJ
dem-4200	159	34	symposium	symposium	NOUN
dem-4200	159	35	on	on	ADP
dem-4200	159	36	information	information	NOUN
dem-4200	159	37	theory	theory	NOUN
dem-4200	159	38	,	,	PUNCT
dem-4200	159	39	akademia	akademia	ADJ
dem-4200	159	40	kiado	kiado	PROPN
dem-4200	159	41	,	,	PUNCT
dem-4200	159	42	budapest	budapest	PROPN
dem-4200	159	43	.	.	PUNCT
dem-4200	160	1	akaike	akaike	PROPN
dem-4200	160	2	,	,	PUNCT
dem-4200	160	3	h.	h.	PROPN
dem-4200	160	4	(	(	PUNCT
dem-4200	160	5	1978	1978	NUM
dem-4200	160	6	)	)	PUNCT
dem-4200	160	7	,	,	PUNCT
dem-4200	160	8	on	on	ADP
dem-4200	160	9	the	the	DET
dem-4200	160	10	likelihood	likelihood	NOUN
dem-4200	160	11	of	of	ADP
dem-4200	160	12	a	a	DET
dem-4200	160	13	time	time	NOUN
dem-4200	160	14	series	series	PROPN
dem-4200	160	15	model	model	PROPN
dem-4200	160	16	,	,	PUNCT
dem-4200	160	17	the	the	DET
dem-4200	160	18	statistician	statistician	NOUN
dem-4200	160	19	,	,	PUNCT
dem-4200	160	20	27	27	NUM
dem-4200	160	21	,	,	PUNCT
dem-4200	160	22	217–235	217–235	NUM
dem-4200	160	23	.	.	PUNCT
dem-4200	161	1	armstrong	armstrong	PROPN
dem-4200	161	2	,	,	PUNCT
dem-4200	161	3	j.	j.	PROPN
dem-4200	161	4	s.	s.	PROPN
dem-4200	161	5	(	(	PUNCT
dem-4200	161	6	2001	2001	NUM
dem-4200	161	7	)	)	PUNCT
dem-4200	161	8	,	,	PUNCT
dem-4200	161	9	principles	principle	NOUN
dem-4200	161	10	of	of	ADP
dem-4200	161	11	forecasting	forecasting	NOUN
dem-4200	161	12	,	,	PUNCT
dem-4200	161	13	springer	springer	NOUN
dem-4200	161	14	.	.	PUNCT
dem-4200	162	1	atkinson	atkinson	PROPN
dem-4200	162	2	,	,	PUNCT
dem-4200	162	3	a.	a.	PROPN
dem-4200	162	4	c.	c.	PROPN
dem-4200	162	5	(	(	PUNCT
dem-4200	162	6	1980	1980	NUM
dem-4200	162	7	)	)	PUNCT
dem-4200	162	8	,	,	PUNCT
dem-4200	162	9	a	a	DET
dem-4200	162	10	note	note	NOUN
dem-4200	162	11	on	on	ADP
dem-4200	162	12	the	the	DET
dem-4200	162	13	generalized	generalize	VERB
dem-4200	162	14	information	information	NOUN
dem-4200	162	15	criteria	criterion	NOUN
dem-4200	162	16	for	for	ADP
dem-4200	162	17	choice	choice	NOUN
dem-4200	162	18	of	of	ADP
dem-4200	162	19	a	a	DET
dem-4200	162	20	model	model	NOUN
dem-4200	162	21	,	,	PUNCT
dem-4200	162	22	biometrika	biometrika	NOUN
dem-4200	162	23	,	,	PUNCT
dem-4200	162	24	67	67	NUM
dem-4200	162	25	(	(	PUNCT
dem-4200	162	26	2	2	NUM
dem-4200	162	27	)	)	PUNCT
dem-4200	162	28	,	,	PUNCT
dem-4200	162	29	413–418	413–418	NUM
dem-4200	162	30	.	.	PUNCT
dem-4200	163	1	bates	bates	PROPN
dem-4200	163	2	,	,	PUNCT
dem-4200	163	3	j.	j.	PROPN
dem-4200	163	4	m.	m.	PROPN
dem-4200	163	5	,	,	PUNCT
dem-4200	163	6	granger	granger	PROPN
dem-4200	163	7	,	,	PUNCT
dem-4200	163	8	c.	c.	PROPN
dem-4200	163	9	w.	w.	PROPN
dem-4200	163	10	j.	j.	PROPN
dem-4200	163	11	(	(	PUNCT
dem-4200	163	12	1969	1969	NUM
dem-4200	163	13	)	)	PUNCT
dem-4200	163	14	,	,	PUNCT
dem-4200	163	15	the	the	DET
dem-4200	163	16	combinations	combination	NOUN
dem-4200	163	17	of	of	ADP
dem-4200	163	18	forecasts	forecast	NOUN
dem-4200	163	19	,	,	PUNCT
dem-4200	163	20	operations	operation	NOUN
dem-4200	163	21	research	research	VERB
dem-4200	163	22	quarterly	quarterly	ADV
dem-4200	163	23	,	,	PUNCT
dem-4200	163	24	20	20	NUM
dem-4200	163	25	,	,	PUNCT
dem-4200	163	26	415–468	415–468	NUM
dem-4200	163	27	.	.	PUNCT
dem-4200	164	1	burnham	burnham	PROPN
dem-4200	164	2	,	,	PUNCT
dem-4200	164	3	k.	k.	PROPN
dem-4200	164	4	p.	p.	PROPN
dem-4200	164	5	,	,	PUNCT
dem-4200	164	6	anderson	anderson	PROPN
dem-4200	164	7	,	,	PUNCT
dem-4200	164	8	d.	d.	PROPN
dem-4200	164	9	r.	r.	PROPN
dem-4200	164	10	(	(	PUNCT
dem-4200	164	11	2002	2002	NUM
dem-4200	164	12	)	)	PUNCT
dem-4200	164	13	,	,	PUNCT
dem-4200	164	14	model	model	NOUN
dem-4200	164	15	selection	selection	NOUN
dem-4200	164	16	and	and	CCONJ
dem-4200	164	17	multimodel	multimodel	PROPN
dem-4200	164	18	inference	inference	PROPN
dem-4200	164	19	,	,	PUNCT
dem-4200	164	20	springer	springer	NOUN
dem-4200	164	21	.	.	PUNCT
dem-4200	165	1	burnham	burnham	PROPN
dem-4200	165	2	,	,	PUNCT
dem-4200	165	3	k.	k.	PROPN
dem-4200	165	4	p.	p.	PROPN
dem-4200	165	5	,	,	PUNCT
dem-4200	165	6	anderson	anderson	PROPN
dem-4200	165	7	,	,	PUNCT
dem-4200	165	8	d.	d.	PROPN
dem-4200	165	9	r.	r.	PROPN
dem-4200	165	10	(	(	PUNCT
dem-4200	165	11	2004	2004	NUM
dem-4200	165	12	)	)	PUNCT
dem-4200	165	13	,	,	PUNCT
dem-4200	165	14	multimodel	multimodel	PROPN
dem-4200	165	15	inference	inference	PROPN
dem-4200	165	16	.	.	PUNCT
dem-4200	166	1	understanding	understand	VERB
dem-4200	166	2	aic	aic	PROPN
dem-4200	166	3	and	and	CCONJ
dem-4200	166	4	bic	bic	PROPN
dem-4200	166	5	in	in	ADP
dem-4200	166	6	model	model	NOUN
dem-4200	166	7	selection	selection	NOUN
dem-4200	166	8	,	,	PUNCT
dem-4200	166	9	sociological	sociological	ADJ
dem-4200	166	10	methods	method	NOUN
dem-4200	166	11	and	and	CCONJ
dem-4200	166	12	research	research	NOUN
dem-4200	166	13	,	,	PUNCT
dem-4200	166	14	vol	vol	NOUN
dem-4200	166	15	.	.	PROPN
dem-4200	167	1	33	33	NUM
dem-4200	167	2	(	(	PUNCT
dem-4200	167	3	2	2	NUM
dem-4200	167	4	)	)	PUNCT
dem-4200	167	5	,	,	PUNCT
dem-4200	167	6	261–304	261–304	NUM
dem-4200	167	7	.	.	PUNCT
dem-4200	167	8	jagannathan	jagannathan	PROPN
dem-4200	167	9	,	,	PUNCT
dem-4200	167	10	r.	r.	PROPN
dem-4200	167	11	ma	ma	PROPN
dem-4200	167	12	,	,	PUNCT
dem-4200	167	13	t.	t.	PROPN
dem-4200	167	14	(	(	PUNCT
dem-4200	167	15	2003	2003	NUM
dem-4200	167	16	)	)	PUNCT
dem-4200	167	17	,	,	PUNCT
dem-4200	167	18	risk	risk	NOUN
dem-4200	167	19	reduction	reduction	NOUN
dem-4200	167	20	in	in	ADP
dem-4200	167	21	large	large	ADJ
dem-4200	167	22	portfolios	portfolio	NOUN
dem-4200	167	23	:	:	PUNCT
dem-4200	167	24	why	why	SCONJ
dem-4200	167	25	imposing	impose	VERB
dem-4200	167	26	the	the	DET
dem-4200	167	27	wrong	wrong	ADJ
dem-4200	167	28	constraints	constraint	NOUN
dem-4200	167	29	helps	help	VERB
dem-4200	167	30	,	,	PUNCT
dem-4200	167	31	the	the	DET
dem-4200	167	32	journal	journal	NOUN
dem-4200	167	33	of	of	ADP
dem-4200	167	34	finance	finance	NOUN
dem-4200	167	35	,	,	PUNCT
dem-4200	167	36	58	58	NUM
dem-4200	167	37	(	(	PUNCT
dem-4200	167	38	4	4	NUM
dem-4200	167	39	)	)	PUNCT
dem-4200	167	40	,	,	PUNCT
dem-4200	167	41	1651–1684	1651–1684	NUM
dem-4200	167	42	.	.	PUNCT
dem-4200	168	1	kapetanios	kapetanios	PROPN
dem-4200	168	2	,	,	PUNCT
dem-4200	168	3	g.	g.	PROPN
dem-4200	168	4	,	,	PUNCT
dem-4200	168	5	labhard	labhard	PROPN
dem-4200	168	6	,	,	PUNCT
dem-4200	168	7	v.	v.	ADV
dem-4200	168	8	,	,	PUNCT
dem-4200	168	9	price	price	NOUN
dem-4200	168	10	,	,	PUNCT
dem-4200	168	11	s.	s.	PROPN
dem-4200	168	12	(	(	PUNCT
dem-4200	168	13	2008	2008	NUM
dem-4200	168	14	)	)	PUNCT
dem-4200	168	15	,	,	PUNCT
dem-4200	168	16	forecasting	forecast	VERB
dem-4200	168	17	using	use	VERB
dem-4200	168	18	bayesian	bayesian	NOUN
dem-4200	168	19	and	and	CCONJ
dem-4200	168	20	informationtheoretic	informationtheoretic	ADJ
dem-4200	168	21	model	model	NOUN
dem-4200	168	22	averaging	averaging	NOUN
dem-4200	168	23	:	:	PUNCT
dem-4200	168	24	an	an	DET
dem-4200	168	25	application	application	NOUN
dem-4200	168	26	to	to	ADP
dem-4200	168	27	u.k	u.k	PROPN
dem-4200	168	28	.	.	PROPN
dem-4200	168	29	inflation	inflation	PROPN
dem-4200	168	30	,	,	PUNCT
dem-4200	168	31	journal	journal	NOUN
dem-4200	168	32	of	of	ADP
dem-4200	168	33	business	business	NOUN
dem-4200	168	34	and	and	CCONJ
dem-4200	168	35	economics	economic	NOUN
dem-4200	168	36	statistics	statistic	NOUN
dem-4200	168	37	,	,	PUNCT
dem-4200	168	38	26	26	NUM
dem-4200	168	39	(	(	PUNCT
dem-4200	168	40	1	1	NUM
dem-4200	168	41	)	)	PUNCT
dem-4200	168	42	,	,	PUNCT
dem-4200	168	43	33–41	33–41	NUM
dem-4200	168	44	.	.	PUNCT
dem-4200	169	1	kitchen	kitchen	NOUN
dem-4200	169	2	,	,	PUNCT
dem-4200	169	3	j.	j.	PROPN
dem-4200	169	4	,	,	PUNCT
dem-4200	169	5	monaco	monaco	PROPN
dem-4200	169	6	,	,	PUNCT
dem-4200	169	7	r.	r.	PROPN
dem-4200	169	8	(	(	PUNCT
dem-4200	169	9	2003	2003	NUM
dem-4200	169	10	)	)	PUNCT
dem-4200	169	11	,	,	PUNCT
dem-4200	169	12	real	real	ADJ
dem-4200	169	13	-	-	PUNCT
dem-4200	169	14	time	time	NOUN
dem-4200	169	15	forecasting	forecasting	NOUN
dem-4200	169	16	in	in	ADP
dem-4200	169	17	practice	practice	NOUN
dem-4200	169	18	,	,	PUNCT
dem-4200	169	19	business	business	NOUN
dem-4200	169	20	economics	economic	NOUN
dem-4200	169	21	,	,	PUNCT
dem-4200	169	22	38	38	NUM
dem-4200	169	23	(	(	PUNCT
dem-4200	169	24	4	4	NUM
dem-4200	169	25	)	)	PUNCT
dem-4200	169	26	,	,	PUNCT
dem-4200	169	27	10–19	10–19	NUM
dem-4200	169	28	.	.	PUNCT
dem-4200	170	1	marcellino	marcellino	NOUN
dem-4200	170	2	,	,	PUNCT
dem-4200	170	3	m.	m.	NOUN
dem-4200	170	4	(	(	PUNCT
dem-4200	170	5	2004	2004	NUM
dem-4200	170	6	)	)	PUNCT
dem-4200	170	7	,	,	PUNCT
dem-4200	170	8	forecast	forecast	NOUN
dem-4200	170	9	pooling	pool	VERB
dem-4200	170	10	for	for	ADP
dem-4200	170	11	short	short	ADJ
dem-4200	170	12	time	time	NOUN
dem-4200	170	13	series	series	NOUN
dem-4200	170	14	of	of	ADP
dem-4200	170	15	macroeconomic	macroeconomic	ADJ
dem-4200	170	16	variables	variable	NOUN
dem-4200	170	17	,	,	PUNCT
dem-4200	170	18	oxford	oxford	ADJ
dem-4200	170	19	bulletin	bulletin	NOUN
dem-4200	170	20	of	of	ADP
dem-4200	170	21	economic	economic	ADJ
dem-4200	170	22	and	and	CCONJ
dem-4200	170	23	statistics	statistic	NOUN
dem-4200	170	24	,	,	PUNCT
dem-4200	170	25	66	66	NUM
dem-4200	170	26	,	,	PUNCT
dem-4200	170	27	91–112	91–112	PROPN
dem-4200	170	28	.	.	PUNCT
dem-4200	170	29	min	min	PROPN
dem-4200	170	30	,	,	PUNCT
dem-4200	170	31	c.	c.	PROPN
dem-4200	170	32	k.	k.	PROPN
dem-4200	170	33	,	,	PUNCT
dem-4200	170	34	zellner	zellner	NOUN
dem-4200	170	35	,	,	PUNCT
dem-4200	170	36	a.	a.	NOUN
dem-4200	170	37	(	(	PUNCT
dem-4200	170	38	1993	1993	NUM
dem-4200	170	39	)	)	PUNCT
dem-4200	170	40	,	,	PUNCT
dem-4200	170	41	bayesian	bayesian	NOUN
dem-4200	170	42	and	and	CCONJ
dem-4200	170	43	non	non	ADJ
dem-4200	170	44	-	-	ADJ
dem-4200	170	45	bayesian	bayesian	ADJ
dem-4200	170	46	methods	method	NOUN
dem-4200	170	47	for	for	ADP
dem-4200	170	48	combining	combine	VERB
dem-4200	170	49	models	model	NOUN
dem-4200	170	50	and	and	CCONJ
dem-4200	170	51	forecasts	forecast	NOUN
dem-4200	170	52	with	with	ADP
dem-4200	170	53	applications	application	NOUN
dem-4200	170	54	to	to	ADP
dem-4200	170	55	forecasting	forecast	VERB
dem-4200	170	56	international	international	ADJ
dem-4200	170	57	growth	growth	NOUN
dem-4200	170	58	rates	rate	NOUN
dem-4200	170	59	,	,	PUNCT
dem-4200	170	60	journal	journal	NOUN
dem-4200	170	61	of	of	ADP
dem-4200	170	62	econometrics	econometric	NOUN
dem-4200	170	63	,	,	PUNCT
dem-4200	170	64	53	53	NUM
dem-4200	170	65	(	(	PUNCT
dem-4200	170	66	1–2	1–2	NUM
dem-4200	170	67	)	)	PUNCT
dem-4200	170	68	,	,	PUNCT
dem-4200	170	69	89–118	89–118	PROPN
dem-4200	170	70	.	.	PUNCT
dem-4200	170	71	stock	stock	PROPN
dem-4200	170	72	,	,	PUNCT
dem-4200	170	73	j.	j.	PROPN
dem-4200	170	74	h.	h.	PROPN
dem-4200	170	75	,	,	PUNCT
dem-4200	170	76	watson	watson	PROPN
dem-4200	170	77	,	,	PUNCT
dem-4200	170	78	m.	m.	NOUN
dem-4200	170	79	(	(	PUNCT
dem-4200	170	80	2004	2004	NUM
dem-4200	170	81	)	)	PUNCT
dem-4200	170	82	,	,	PUNCT
dem-4200	170	83	combination	combination	NOUN
dem-4200	170	84	forecasts	forecast	NOUN
dem-4200	170	85	of	of	ADP
dem-4200	170	86	output	output	NOUN
dem-4200	170	87	growth	growth	NOUN
dem-4200	170	88	in	in	ADP
dem-4200	170	89	a	a	DET
dem-4200	170	90	seven	seven	NUM
dem-4200	170	91	-	-	PUNCT
dem-4200	170	92	country	country	NOUN
dem-4200	170	93	data	datum	NOUN
dem-4200	170	94	set	set	VERB
dem-4200	170	95	,	,	PUNCT
dem-4200	170	96	journal	journal	NOUN
dem-4200	170	97	of	of	ADP
dem-4200	170	98	forecasting	forecasting	NOUN
dem-4200	170	99	,	,	PUNCT
dem-4200	170	100	8	8	NUM
dem-4200	170	101	,	,	PUNCT
dem-4200	170	102	230–251	230–251	NUM
dem-4200	170	103	.	.	PUNCT
dem-4200	171	1	stock	stock	NOUN
dem-4200	171	2	,	,	PUNCT
dem-4200	171	3	j.	j.	PROPN
dem-4200	171	4	h.	h.	PROPN
dem-4200	171	5	,	,	PUNCT
dem-4200	171	6	watson	watson	PROPN
dem-4200	171	7	,	,	PUNCT
dem-4200	171	8	m.	m.	NOUN
dem-4200	171	9	(	(	PUNCT
dem-4200	171	10	2006	2006	NUM
dem-4200	171	11	)	)	PUNCT
dem-4200	171	12	,	,	PUNCT
dem-4200	171	13	forecasting	forecast	VERB
dem-4200	171	14	with	with	ADP
dem-4200	171	15	many	many	ADJ
dem-4200	171	16	predictors	predictor	NOUN
dem-4200	171	17	,	,	PUNCT
dem-4200	171	18	[	[	X
dem-4200	171	19	in	in	ADP
dem-4200	171	20	:]	:]	PROPN
dem-4200	171	21	elliott	elliott	PROPN
dem-4200	171	22	,	,	PUNCT
dem-4200	171	23	g.	g.	PROPN
dem-4200	171	24	,	,	PUNCT
dem-4200	171	25	granger	granger	PROPN
dem-4200	171	26	,	,	PUNCT
dem-4200	171	27	c.	c.	PROPN
dem-4200	171	28	w.	w.	PROPN
dem-4200	171	29	j.	j.	PROPN
dem-4200	171	30	,	,	PUNCT
dem-4200	171	31	timmermann	timmermann	PROPN
dem-4200	171	32	,	,	PUNCT
dem-4200	171	33	a.	a.	NOUN
dem-4200	171	34	(	(	PUNCT
dem-4200	171	35	ed	ed	NOUN
dem-4200	171	36	.	.	PUNCT
dem-4200	171	37	)	)	PUNCT
dem-4200	171	38	,	,	PUNCT
dem-4200	171	39	handbook	handbook	NOUN
dem-4200	171	40	of	of	ADP
dem-4200	171	41	economic	economic	ADJ
dem-4200	171	42	forecasting	forecasting	NOUN
dem-4200	171	43	,	,	PUNCT
dem-4200	171	44	elsevier	elsevier	PROPN
dem-4200	171	45	.	.	PUNCT
dem-4200	171	46	swanson	swanson	PROPN
dem-4200	171	47	,	,	PUNCT
dem-4200	171	48	n.	n.	PROPN
dem-4200	171	49	r.	r.	PROPN
dem-4200	171	50	,	,	PUNCT
dem-4200	171	51	zeng	zeng	PROPN
dem-4200	171	52	,	,	PUNCT
dem-4200	171	53	t.	t.	PROPN
dem-4200	171	54	(	(	PUNCT
dem-4200	171	55	2001	2001	NUM
dem-4200	171	56	)	)	PUNCT
dem-4200	171	57	,	,	PUNCT
dem-4200	171	58	choosing	choose	VERB
dem-4200	171	59	among	among	ADP
dem-4200	171	60	competing	compete	VERB
dem-4200	171	61	econometric	econometric	ADJ
dem-4200	171	62	forecasts	forecast	NOUN
dem-4200	171	63	:	:	PUNCT
dem-4200	171	64	regression	regression	NOUN
dem-4200	171	65	-	-	PUNCT
dem-4200	171	66	based	base	VERB
dem-4200	171	67	forecast	forecast	NOUN
dem-4200	171	68	combination	combination	NOUN
dem-4200	171	69	using	use	VERB
dem-4200	171	70	model	model	NOUN
dem-4200	171	71	selection	selection	NOUN
dem-4200	171	72	,	,	PUNCT
dem-4200	171	73	journal	journal	NOUN
dem-4200	171	74	of	of	ADP
dem-4200	171	75	forecasting	forecasting	NOUN
dem-4200	171	76	,	,	PUNCT
dem-4200	171	77	20	20	NUM
dem-4200	171	78	,	,	PUNCT
dem-4200	171	79	425	425	NUM
dem-4200	171	80	–	–	SYM
dem-4200	171	81	440	440	NUM
dem-4200	171	82	.	.	PUNCT
dem-4200	172	1	timmermann	timmermann	NOUN
dem-4200	172	2	,	,	PUNCT
dem-4200	172	3	a.	a.	NOUN
dem-4200	172	4	(	(	PUNCT
dem-4200	172	5	2006	2006	NUM
dem-4200	172	6	)	)	PUNCT
dem-4200	172	7	,	,	PUNCT
dem-4200	172	8	forecast	forecast	NOUN
dem-4200	172	9	combinations	combination	NOUN
dem-4200	172	10	,	,	PUNCT
dem-4200	172	11	[	[	X
dem-4200	172	12	in	in	ADP
dem-4200	172	13	:]	:]	PROPN
dem-4200	172	14	elliott	elliott	PROPN
dem-4200	172	15	g.	g.	PROPN
dem-4200	172	16	,	,	PUNCT
dem-4200	172	17	granger	granger	PROPN
dem-4200	172	18	c.	c.	PROPN
dem-4200	172	19	w.	w.	PROPN
dem-4200	172	20	j.	j.	PROPN
dem-4200	172	21	,	,	PUNCT
dem-4200	172	22	timmermann	timmermann	VERB
dem-4200	172	23	a.	a.	NOUN
dem-4200	172	24	(	(	PUNCT
dem-4200	172	25	ed	ed	NOUN
dem-4200	172	26	.	.	PUNCT
dem-4200	172	27	)	)	PUNCT
dem-4200	172	28	,	,	PUNCT
dem-4200	172	29	handbook	handbook	NOUN
dem-4200	172	30	of	of	ADP
dem-4200	172	31	economic	economic	ADJ
dem-4200	172	32	forecasting	forecasting	NOUN
dem-4200	172	33	,	,	PUNCT
dem-4200	172	34	ch	ch	NOUN
dem-4200	172	35	.	.	PROPN
dem-4200	172	36	4	4	NUM
dem-4200	172	37	,	,	PUNCT
dem-4200	172	38	elsevier	elsevier	NOUN
dem-4200	172	39	.	.	PUNCT
dem-4200	173	1	prognozy	prognozy	PROPN
dem-4200	173	2	kombinowane	kombinowane	PROPN
dem-4200	173	3	z	z	PROPN
dem-4200	173	4	wykorzystaniem	wykorzystaniem	PROPN
dem-4200	173	5	wag	wag	NOUN
dem-4200	173	6	akaike’a	akaike’a	PRON
dem-4200	174	1	z	z	NOUN
dem-4200	175	1	a	a	DET
dem-4200	175	2	r	r	NOUN
dem-4200	175	3	y	y	PROPN
dem-4200	175	4	s	s	PROPN
dem-4200	175	5	t	t	NOUN
dem-4200	175	6	r	r	NOUN
dem-4200	175	7	e	e	PROPN
dem-4200	175	8	ś	ś	PROPN
dem-4200	175	9	c	c	PROPN
dem-4200	175	10	i.	i.	PROPN
dem-4200	175	11	w	w	PROPN
dem-4200	175	12	artykule	artykule	PROPN
dem-4200	175	13	uwaga	uwaga	PROPN
dem-4200	175	14	jest	jest	NOUN
dem-4200	175	15	skupiona	skupiona	NOUN
dem-4200	175	16	na	na	PART
dem-4200	175	17	podejściu	podejściu	VERB
dem-4200	175	18	wykorzystującym	wykorzystującym	PROPN
dem-4200	175	19	kryteria	kryteria	PROPN
dem-4200	175	20	informacyjne	informacyjne	PROPN
dem-4200	175	21	,	,	PUNCT
dem-4200	175	22	a	a	DET
dem-4200	175	23	w	w	PROPN
dem-4200	175	24	szczególności	szczególności	NOUN
dem-4200	175	25	kryterium	kryterium	PROPN
dem-4200	175	26	akaike’a	akaike’a	PROPN
dem-4200	175	27	,	,	PUNCT
dem-4200	175	28	które	które	PROPN
dem-4200	175	29	jest	jest	PROPN
dem-4200	175	30	wykorzystywane	wykorzystywane	PROPN
dem-4200	175	31	do	do	AUX
dem-4200	175	32	wyznaczenia	wyznaczenia	NOUN
dem-4200	175	33	wag	wag	VERB
dem-4200	175	34	akaike’a	akaike’a	NOUN
dem-4200	175	35	.	.	PUNCT
dem-4200	176	1	podejście	podejście	PROPN
dem-4200	176	2	to	to	PART
dem-4200	176	3	umożliwia	umożliwia	VERB
dem-4200	176	4	otrzymanie	otrzymanie	PROPN
dem-4200	176	5	nie	nie	PROPN
dem-4200	176	6	jednego	jednego	PROPN
dem-4200	176	7	,	,	PUNCT
dem-4200	176	8	a	a	DET
dem-4200	176	9	kilku	kilku	PROPN
dem-4200	176	10	wiarygodnych	wiarygodnych	PROPN
dem-4200	176	11	modeli	modeli	ADJ
dem-4200	176	12	,	,	PUNCT
dem-4200	176	13	dla	dla	NOUN
dem-4200	176	14	których	których	PROPN
dem-4200	176	15	można	można	PROPN
dem-4200	176	16	stworzyć	stworzyć	NOUN
dem-4200	176	17	ranking	rank	VERB
dem-4200	176	18	stosując	stosując	NOUN
dem-4200	176	19	wagi	wagi	NOUN
dem-4200	176	20	akaike’a	akaike’a	NOUN
dem-4200	176	21	.	.	PUNCT
dem-4200	177	1	modele	modele	PROPN
dem-4200	177	2	te	te	PROPN
dem-4200	177	3	stanowią	stanowią	PROPN
dem-4200	177	4	podstawę	podstawę	PROPN
dem-4200	177	5	obliczemariola	obliczemariola	PROPN
dem-4200	177	6	piłatowska	piłatowska	PROPN
dem-4200	177	7	16	16	NUM
dem-4200	177	8	nia	nia	PROPN
dem-4200	177	9	prognoz	prognoz	PROPN
dem-4200	177	10	indywidualnych	indywidualnych	PROPN
dem-4200	177	11	,	,	PUNCT
dem-4200	177	12	a	a	DET
dem-4200	177	13	te	te	PROPN
dem-4200	177	14	z	z	PROPN
dem-4200	177	15	kolei	kolei	X
dem-4200	177	16	służą	służą	VERB
dem-4200	177	17	do	do	AUX
dem-4200	177	18	wyznaczenia	wyznaczenia	NOUN
dem-4200	177	19	ostatecznej	ostatecznej	ADJ
dem-4200	177	20	prognozy	prognozy	PROPN
dem-4200	177	21	kombinowanej	kombinowanej	PROPN
dem-4200	177	22	,	,	PUNCT
dem-4200	177	23	przy	przy	PROPN
dem-4200	177	24	formułowaniu	formułowaniu	PROPN
dem-4200	177	25	której	której	PROPN
dem-4200	177	26	wykorzystuje	wykorzystuje	PROPN
dem-4200	177	27	się	się	PROPN
dem-4200	177	28	wagi	wagi	PROPN
dem-4200	177	29	akaike’a	akaike’a	NOUN
dem-4200	177	30	.	.	PUNCT
dem-4200	178	1	s	s	PROPN
dem-4200	179	1	ł	ł	PROPN
dem-4200	179	2	o	o	X
dem-4200	179	3	w	w	NOUN
dem-4200	179	4	a	a	DET
dem-4200	179	5	k	k	X
dem-4200	179	6	l	l	NOUN
dem-4200	179	7	u	u	NOUN
dem-4200	180	1	c	c	NOUN
dem-4200	180	2	z	z	NOUN
dem-4200	180	3	o	o	X
dem-4200	180	4	w	w	PROPN
dem-4200	180	5	e	e	NOUN
dem-4200	180	6	:	:	PUNCT
dem-4200	180	7	prognozy	prognozy	PROPN
dem-4200	180	8	kombinowane	kombinowane	PROPN
dem-4200	180	9	,	,	PUNCT
dem-4200	180	10	systemy	systemy	NOUN
dem-4200	180	11	wag	wag	NOUN
dem-4200	180	12	,	,	PUNCT
dem-4200	180	13	kryteria	kryteria	PROPN
dem-4200	180	14	informacyjne	informacyjne	PROPN
dem-4200	180	15	.	.	PUNCT