id	sid	tid	token	lemma	pos
dem-4197	1	1	microsoft	microsoft	PROPN
dem-4197	1	2	word	word	NOUN
dem-4197	1	3	00_tresc.docx	00_tresc.docx	PRON
dem-4197	1	4	dynamic	dynamic	ADJ
dem-4197	1	5	econometric	econometric	ADJ
dem-4197	1	6	models	model	NOUN
dem-4197	1	7	vol	vol	NOUN
dem-4197	1	8	.	.	PROPN
dem-4197	1	9	10	10	NUM
dem-4197	1	10	–	–	PUNCT
dem-4197	1	11	nicolaus	nicolaus	PROPN
dem-4197	1	12	copernicus	copernicus	PROPN
dem-4197	1	13	university	university	PROPN
dem-4197	1	14	–	–	PUNCT
dem-4197	1	15	toruń	toruń	NOUN
dem-4197	1	16	–	–	PUNCT
dem-4197	1	17	2010	2010	NUM
dem-4197	1	18	mariola	mariola	PROPN
dem-4197	1	19	piłatowska	piłatowska	PROPN
dem-4197	1	20	nicolaus	nicolaus	PROPN
dem-4197	1	21	copernicus	copernicus	PROPN
dem-4197	1	22	university	university	PROPN
dem-4197	1	23	in	in	ADP
dem-4197	1	24	toruń	toruń	NOUN
dem-4197	1	25	choosing	choose	VERB
dem-4197	1	26	a	a	DET
dem-4197	1	27	model	model	NOUN
dem-4197	1	28	and	and	CCONJ
dem-4197	1	29	strategy	strategy	NOUN
dem-4197	1	30	of	of	ADP
dem-4197	1	31	model	model	NOUN
dem-4197	1	32	selection	selection	NOUN
dem-4197	1	33	by	by	ADP
dem-4197	1	34	accumulated	accumulate	VERB
dem-4197	1	35	prediction	prediction	NOUN
dem-4197	1	36	error	error	NOUN
dem-4197	1	37	a	a	PRON
dem-4197	1	38	b	b	PROPN
dem-4197	1	39	s	s	ADP
dem-4197	1	40	t	t	PROPN
dem-4197	1	41	r	r	NOUN
dem-4197	1	42	a	a	DET
dem-4197	1	43	c	c	NOUN
dem-4197	1	44	t.	t.	NOUN
dem-4197	1	45	the	the	DET
dem-4197	1	46	purpose	purpose	NOUN
dem-4197	1	47	of	of	ADP
dem-4197	1	48	the	the	DET
dem-4197	1	49	paper	paper	NOUN
dem-4197	1	50	is	be	AUX
dem-4197	1	51	to	to	PART
dem-4197	1	52	present	present	VERB
dem-4197	1	53	and	and	CCONJ
dem-4197	1	54	apply	apply	VERB
dem-4197	1	55	the	the	DET
dem-4197	1	56	accumulative	accumulative	ADJ
dem-4197	1	57	one	one	NUM
dem-4197	1	58	-	-	PUNCT
dem-4197	1	59	step	step	NOUN
dem-4197	1	60	-	-	PUNCT
dem-4197	1	61	ahead	ahead	NOUN
dem-4197	1	62	prediction	prediction	NOUN
dem-4197	1	63	error	error	NOUN
dem-4197	1	64	(	(	PUNCT
dem-4197	1	65	ape	ape	NOUN
dem-4197	1	66	)	)	PUNCT
dem-4197	1	67	not	not	PART
dem-4197	1	68	only	only	ADV
dem-4197	1	69	as	as	ADP
dem-4197	1	70	a	a	DET
dem-4197	1	71	method	method	NOUN
dem-4197	1	72	(	(	PUNCT
dem-4197	1	73	strategy	strategy	NOUN
dem-4197	1	74	)	)	PUNCT
dem-4197	1	75	of	of	ADP
dem-4197	1	76	model	model	NOUN
dem-4197	1	77	selection	selection	NOUN
dem-4197	1	78	,	,	PUNCT
dem-4197	1	79	but	but	CCONJ
dem-4197	1	80	also	also	ADV
dem-4197	1	81	as	as	ADP
dem-4197	1	82	a	a	DET
dem-4197	1	83	tool	tool	NOUN
dem-4197	1	84	of	of	ADP
dem-4197	1	85	model	model	NOUN
dem-4197	1	86	selection	selection	NOUN
dem-4197	1	87	strategy	strategy	NOUN
dem-4197	1	88	(	(	PUNCT
dem-4197	1	89	meta	meta	NOUN
dem-4197	1	90	-	-	PUNCT
dem-4197	1	91	selection	selection	NOUN
dem-4197	1	92	)	)	PUNCT
dem-4197	1	93	.	.	PUNCT
dem-4197	2	1	the	the	DET
dem-4197	2	2	ape	ape	NOUN
dem-4197	2	3	method	method	NOUN
dem-4197	2	4	is	be	AUX
dem-4197	2	5	compared	compare	VERB
dem-4197	2	6	with	with	ADP
dem-4197	2	7	the	the	DET
dem-4197	2	8	information	information	NOUN
dem-4197	2	9	approach	approach	NOUN
dem-4197	2	10	to	to	ADP
dem-4197	2	11	model	model	NOUN
dem-4197	2	12	selection	selection	NOUN
dem-4197	2	13	(	(	PUNCT
dem-4197	2	14	aic	aic	PROPN
dem-4197	2	15	and	and	CCONJ
dem-4197	2	16	bic	bic	PROPN
dem-4197	2	17	information	information	NOUN
dem-4197	2	18	criteria	criterion	NOUN
dem-4197	2	19	)	)	PUNCT
dem-4197	2	20	,	,	PUNCT
dem-4197	2	21	supported	support	VERB
dem-4197	2	22	by	by	ADP
dem-4197	2	23	empirical	empirical	ADJ
dem-4197	2	24	examples	example	NOUN
dem-4197	2	25	.	.	PUNCT
dem-4197	3	1	obtained	obtain	VERB
dem-4197	3	2	results	result	NOUN
dem-4197	3	3	indicated	indicate	VERB
dem-4197	3	4	that	that	SCONJ
dem-4197	3	5	the	the	DET
dem-4197	3	6	ape	ape	NOUN
dem-4197	3	7	method	method	NOUN
dem-4197	3	8	may	may	AUX
dem-4197	3	9	be	be	AUX
dem-4197	3	10	of	of	ADP
dem-4197	3	11	considerable	considerable	ADJ
dem-4197	3	12	practical	practical	ADJ
dem-4197	3	13	importance	importance	NOUN
dem-4197	3	14	.	.	PUNCT
dem-4197	4	1	k	k	X
dem-4197	4	2	e	e	PROPN
dem-4197	4	3	y	y	PROPN
dem-4197	4	4	w	w	NOUN
dem-4197	4	5	o	o	NOUN
dem-4197	4	6	r	r	NOUN
dem-4197	4	7	d	d	PROPN
dem-4197	4	8	s	s	NOUN
dem-4197	4	9	:	:	PUNCT
dem-4197	4	10	model	model	NOUN
dem-4197	4	11	selection	selection	NOUN
dem-4197	4	12	,	,	PUNCT
dem-4197	4	13	meta	meta	ADJ
dem-4197	4	14	-	-	PUNCT
dem-4197	4	15	selection	selection	NOUN
dem-4197	4	16	,	,	PUNCT
dem-4197	4	17	information	information	NOUN
dem-4197	4	18	criteria	criterion	NOUN
dem-4197	4	19	,	,	PUNCT
dem-4197	4	20	accumulative	accumulative	ADJ
dem-4197	4	21	prediction	prediction	NOUN
dem-4197	4	22	error	error	NOUN
dem-4197	4	23	.	.	PUNCT
dem-4197	5	1	1	1	X
dem-4197	5	2	.	.	X
dem-4197	5	3	introduction	introduction	NOUN
dem-4197	5	4	in	in	ADP
dem-4197	5	5	the	the	DET
dem-4197	5	6	literature	literature	NOUN
dem-4197	5	7	different	different	ADJ
dem-4197	5	8	methods	method	NOUN
dem-4197	5	9	(	(	PUNCT
dem-4197	5	10	strategies	strategy	NOUN
dem-4197	5	11	)	)	PUNCT
dem-4197	5	12	of	of	ADP
dem-4197	5	13	model	model	NOUN
dem-4197	5	14	selection	selection	NOUN
dem-4197	5	15	are	be	AUX
dem-4197	5	16	available	available	ADJ
dem-4197	5	17	,	,	PUNCT
dem-4197	5	18	among	among	ADP
dem-4197	5	19	others	other	NOUN
dem-4197	5	20	:	:	PUNCT
dem-4197	5	21	strategies	strategy	NOUN
dem-4197	5	22	based	base	VERB
dem-4197	5	23	on	on	ADP
dem-4197	5	24	sequences	sequence	NOUN
dem-4197	5	25	of	of	ADP
dem-4197	5	26	tests	test	NOUN
dem-4197	5	27	(	(	PUNCT
dem-4197	5	28	forward	forward	ADV
dem-4197	5	29	/	/	SYM
dem-4197	5	30	backward	backward	ADJ
dem-4197	5	31	selection	selection	NOUN
dem-4197	5	32	)	)	PUNCT
dem-4197	5	33	,	,	PUNCT
dem-4197	5	34	strategies	strategy	NOUN
dem-4197	5	35	related	relate	VERB
dem-4197	5	36	to	to	ADP
dem-4197	5	37	information	information	NOUN
dem-4197	5	38	criteria	criterion	NOUN
dem-4197	5	39	of	of	ADP
dem-4197	5	40	akaike	akaike	ADJ
dem-4197	5	41	type	type	NOUN
dem-4197	5	42	,	,	PUNCT
dem-4197	5	43	strategies	strategy	NOUN
dem-4197	5	44	based	base	VERB
dem-4197	5	45	on	on	ADP
dem-4197	5	46	predictive	predictive	ADJ
dem-4197	5	47	criteria	criterion	NOUN
dem-4197	5	48	(	(	PUNCT
dem-4197	5	49	out	out	ADV
dem-4197	5	50	-	-	PUNCT
dem-4197	5	51	of	of	ADP
dem-4197	5	52	-	-	PUNCT
dem-4197	5	53	sample	sample	NOUN
dem-4197	5	54	validation	validation	NOUN
dem-4197	5	55	)	)	PUNCT
dem-4197	5	56	,	,	PUNCT
dem-4197	5	57	which	which	PRON
dem-4197	5	58	can	can	AUX
dem-4197	5	59	be	be	AUX
dem-4197	5	60	treated	treat	VERB
dem-4197	5	61	as	as	ADP
dem-4197	5	62	mainstream	mainstream	ADJ
dem-4197	5	63	directions	direction	NOUN
dem-4197	5	64	in	in	ADP
dem-4197	5	65	model	model	NOUN
dem-4197	5	66	selection	selection	NOUN
dem-4197	5	67	.	.	PUNCT
dem-4197	6	1	for	for	ADP
dem-4197	6	2	the	the	DET
dem-4197	6	3	reason	reason	NOUN
dem-4197	6	4	that	that	SCONJ
dem-4197	6	5	the	the	DET
dem-4197	6	6	true	true	ADJ
dem-4197	6	7	generating	generating	NOUN
dem-4197	6	8	model	model	NOUN
dem-4197	6	9	is	be	AUX
dem-4197	6	10	unknown	unknown	ADJ
dem-4197	6	11	in	in	ADP
dem-4197	6	12	practice	practice	NOUN
dem-4197	6	13	,	,	PUNCT
dem-4197	6	14	the	the	DET
dem-4197	6	15	focus	focus	NOUN
dem-4197	6	16	in	in	ADP
dem-4197	6	17	model	model	NOUN
dem-4197	6	18	selection	selection	NOUN
dem-4197	6	19	strategies	strategy	NOUN
dem-4197	6	20	is	be	AUX
dem-4197	6	21	being	be	AUX
dem-4197	6	22	moved	move	VERB
dem-4197	6	23	from	from	ADP
dem-4197	6	24	the	the	DET
dem-4197	6	25	issue	issue	NOUN
dem-4197	6	26	of	of	ADP
dem-4197	6	27	selection	selection	NOUN
dem-4197	6	28	the	the	DET
dem-4197	6	29	only	only	ADJ
dem-4197	6	30	one	one	NUM
dem-4197	6	31	,	,	PUNCT
dem-4197	6	32	true	true	ADJ
dem-4197	6	33	model	model	NOUN
dem-4197	6	34	to	to	ADP
dem-4197	6	35	the	the	DET
dem-4197	6	36	issue	issue	NOUN
dem-4197	6	37	of	of	ADP
dem-4197	6	38	selection	selection	NOUN
dem-4197	6	39	the	the	DET
dem-4197	6	40	best	good	ADJ
dem-4197	6	41	model	model	NOUN
dem-4197	6	42	among	among	ADP
dem-4197	6	43	the	the	DET
dem-4197	6	44	set	set	NOUN
dem-4197	6	45	of	of	ADP
dem-4197	6	46	candidate	candidate	NOUN
dem-4197	6	47	models	model	NOUN
dem-4197	6	48	fitted	fit	VERB
dem-4197	6	49	to	to	ADP
dem-4197	6	50	the	the	DET
dem-4197	6	51	data	datum	NOUN
dem-4197	6	52	or	or	CCONJ
dem-4197	6	53	selection	selection	NOUN
dem-4197	6	54	of	of	ADP
dem-4197	6	55	several	several	ADJ
dem-4197	6	56	plausible	plausible	ADJ
dem-4197	6	57	models	model	NOUN
dem-4197	6	58	,	,	PUNCT
dem-4197	6	59	where	where	SCONJ
dem-4197	6	60	the	the	DET
dem-4197	6	61	best	good	ADJ
dem-4197	6	62	model	model	NOUN
dem-4197	6	63	may	may	AUX
dem-4197	6	64	have	have	VERB
dem-4197	6	65	relatively	relatively	ADV
dem-4197	6	66	weak	weak	ADJ
dem-4197	6	67	support	support	NOUN
dem-4197	6	68	against	against	ADP
dem-4197	6	69	others	other	NOUN
dem-4197	6	70	models	model	NOUN
dem-4197	6	71	(	(	PUNCT
dem-4197	6	72	burnham	burnham	PROPN
dem-4197	6	73	,	,	PUNCT
dem-4197	6	74	anderson	anderson	PROPN
dem-4197	6	75	,	,	PUNCT
dem-4197	6	76	2002	2002	NUM
dem-4197	6	77	)	)	PUNCT
dem-4197	6	78	.	.	PUNCT
dem-4197	7	1	selection	selection	NOUN
dem-4197	7	2	of	of	ADP
dem-4197	7	3	the	the	DET
dem-4197	7	4	best	good	ADJ
dem-4197	7	5	model	model	NOUN
dem-4197	7	6	or	or	CCONJ
dem-4197	7	7	multi	multi	ADJ
dem-4197	7	8	-	-	ADJ
dem-4197	7	9	model	model	ADJ
dem-4197	7	10	inference	inference	NOUN
dem-4197	7	11	assumes	assume	VERB
dem-4197	7	12	that	that	SCONJ
dem-4197	7	13	the	the	DET
dem-4197	7	14	set	set	NOUN
dem-4197	7	15	of	of	ADP
dem-4197	7	16	models	model	NOUN
dem-4197	7	17	has	have	AUX
dem-4197	7	18	been	be	AUX
dem-4197	7	19	well	well	ADV
dem-4197	7	20	founded	found	VERB
dem-4197	7	21	,	,	PUNCT
dem-4197	7	22	because	because	SCONJ
dem-4197	7	23	even	even	ADV
dem-4197	7	24	the	the	DET
dem-4197	7	25	relatively	relatively	ADV
dem-4197	7	26	best	good	ADJ
dem-4197	7	27	model	model	NOUN
dem-4197	7	28	in	in	ADP
dem-4197	7	29	a	a	DET
dem-4197	7	30	set	set	NOUN
dem-4197	7	31	might	might	AUX
dem-4197	7	32	be	be	AUX
dem-4197	7	33	poor	poor	ADJ
dem-4197	7	34	in	in	ADP
dem-4197	7	35	an	an	DET
dem-4197	7	36	absolute	absolute	ADJ
dem-4197	7	37	sense	sense	NOUN
dem-4197	7	38	.	.	PUNCT
dem-4197	8	1	associated	associate	VERB
dem-4197	8	2	with	with	ADP
dem-4197	8	3	each	each	DET
dem-4197	8	4	strategy	strategy	NOUN
dem-4197	8	5	is	be	AUX
dem-4197	8	6	an	an	DET
dem-4197	8	7	algorithm	algorithm	NOUN
dem-4197	8	8	to	to	PART
dem-4197	8	9	be	be	AUX
dem-4197	8	10	specified	specify	VERB
dem-4197	8	11	which	which	PRON
dem-4197	8	12	within	within	ADP
dem-4197	8	13	given	give	VERB
dem-4197	8	14	data	datum	NOUN
dem-4197	8	15	enables	enable	NOUN
dem-4197	8	16	to	to	PART
dem-4197	8	17	choose	choose	VERB
dem-4197	8	18	the	the	DET
dem-4197	8	19	best	good	ADJ
dem-4197	8	20	(	(	PUNCT
dem-4197	8	21	in	in	ADP
dem-4197	8	22	some	some	DET
dem-4197	8	23	sense	sense	NOUN
dem-4197	8	24	)	)	PUNCT
dem-4197	8	25	model	model	NOUN
dem-4197	8	26	among	among	ADP
dem-4197	8	27	the	the	DET
dem-4197	8	28	candidate	candidate	NOUN
dem-4197	8	29	models	model	NOUN
dem-4197	8	30	(	(	PUNCT
dem-4197	8	31	generally	generally	ADV
dem-4197	8	32	they	they	PRON
dem-4197	8	33	may	may	AUX
dem-4197	8	34	be	be	AUX
dem-4197	8	35	nested	nest	VERB
dem-4197	8	36	or	or	CCONJ
dem-4197	8	37	non	non	ADJ
dem-4197	8	38	-	-	ADJ
dem-4197	8	39	nested	nested	ADJ
dem-4197	8	40	models	model	NOUN
dem-4197	8	41	,	,	PUNCT
dem-4197	8	42	different	different	ADJ
dem-4197	8	43	models	model	NOUN
dem-4197	8	44	based	base	VERB
dem-4197	8	45	on	on	ADP
dem-4197	8	46	different	different	ADJ
dem-4197	8	47	scientific	scientific	ADJ
dem-4197	8	48	theories	theory	NOUN
dem-4197	8	49	or	or	CCONJ
dem-4197	8	50	modeling	modeling	NOUN
dem-4197	8	51	assumptions	assumption	NOUN
dem-4197	8	52	)	)	PUNCT
dem-4197	8	53	.	.	PUNCT
dem-4197	9	1	howevmariola	howevmariola	PROPN
dem-4197	9	2	piłatowska	piłatowska	NOUN
dem-4197	9	3	108	108	NUM
dem-4197	9	4	er	er	INTJ
dem-4197	9	5	,	,	PUNCT
dem-4197	9	6	the	the	DET
dem-4197	9	7	problem	problem	NOUN
dem-4197	9	8	of	of	ADP
dem-4197	9	9	model	model	NOUN
dem-4197	9	10	selection	selection	NOUN
dem-4197	9	11	implies	imply	VERB
dem-4197	9	12	not	not	PART
dem-4197	9	13	only	only	ADV
dem-4197	9	14	the	the	DET
dem-4197	9	15	choice	choice	NOUN
dem-4197	9	16	of	of	ADP
dem-4197	9	17	model	model	NOUN
dem-4197	9	18	in	in	ADP
dem-4197	9	19	the	the	DET
dem-4197	9	20	framework	framework	NOUN
dem-4197	9	21	of	of	ADP
dem-4197	9	22	a	a	DET
dem-4197	9	23	given	give	VERB
dem-4197	9	24	strategy	strategy	NOUN
dem-4197	9	25	but	but	CCONJ
dem-4197	9	26	also	also	ADV
dem-4197	9	27	the	the	DET
dem-4197	9	28	choice	choice	NOUN
dem-4197	9	29	of	of	ADP
dem-4197	9	30	model	model	NOUN
dem-4197	9	31	selection	selection	NOUN
dem-4197	9	32	strategy	strategy	NOUN
dem-4197	9	33	.	.	PUNCT
dem-4197	10	1	the	the	DET
dem-4197	10	2	focus	focus	NOUN
dem-4197	10	3	in	in	ADP
dem-4197	10	4	the	the	DET
dem-4197	10	5	literature	literature	NOUN
dem-4197	10	6	is	be	AUX
dem-4197	10	7	mainly	mainly	ADV
dem-4197	10	8	on	on	ADP
dem-4197	10	9	the	the	DET
dem-4197	10	10	choice	choice	NOUN
dem-4197	10	11	of	of	ADP
dem-4197	10	12	model	model	NOUN
dem-4197	10	13	or	or	CCONJ
dem-4197	10	14	the	the	DET
dem-4197	10	15	comparison	comparison	NOUN
dem-4197	10	16	of	of	ADP
dem-4197	10	17	different	different	ADJ
dem-4197	10	18	model	model	NOUN
dem-4197	10	19	selection	selection	NOUN
dem-4197	10	20	strategies	strategy	NOUN
dem-4197	10	21	with	with	ADP
dem-4197	10	22	regard	regard	NOUN
dem-4197	10	23	to	to	ADP
dem-4197	10	24	the	the	DET
dem-4197	10	25	choice	choice	NOUN
dem-4197	10	26	of	of	ADP
dem-4197	10	27	the	the	DET
dem-4197	10	28	best	good	ADJ
dem-4197	10	29	model	model	NOUN
dem-4197	10	30	,	,	PUNCT
dem-4197	10	31	without	without	ADP
dem-4197	10	32	touching	touch	VERB
dem-4197	10	33	the	the	DET
dem-4197	10	34	issue	issue	NOUN
dem-4197	10	35	of	of	ADP
dem-4197	10	36	model	model	NOUN
dem-4197	10	37	selection	selection	NOUN
dem-4197	10	38	strategy	strategy	NOUN
dem-4197	10	39	.	.	PUNCT
dem-4197	11	1	the	the	DET
dem-4197	11	2	choice	choice	NOUN
dem-4197	11	3	of	of	ADP
dem-4197	11	4	model	model	NOUN
dem-4197	11	5	selection	selection	NOUN
dem-4197	11	6	strategy	strategy	NOUN
dem-4197	11	7	and	and	CCONJ
dem-4197	11	8	its	its	PRON
dem-4197	11	9	suitability	suitability	NOUN
dem-4197	11	10	and	and	CCONJ
dem-4197	11	11	properties	property	NOUN
dem-4197	11	12	may	may	AUX
dem-4197	11	13	depend	depend	VERB
dem-4197	11	14	on	on	ADP
dem-4197	11	15	the	the	DET
dem-4197	11	16	goals	goal	NOUN
dem-4197	11	17	of	of	ADP
dem-4197	11	18	an	an	DET
dem-4197	11	19	analysis	analysis	NOUN
dem-4197	11	20	(	(	PUNCT
dem-4197	11	21	estimation	estimation	NOUN
dem-4197	11	22	,	,	PUNCT
dem-4197	11	23	prediction	prediction	NOUN
dem-4197	11	24	)	)	PUNCT
dem-4197	11	25	,	,	PUNCT
dem-4197	11	26	sample	sample	NOUN
dem-4197	11	27	size	size	NOUN
dem-4197	11	28	(	(	PUNCT
dem-4197	11	29	some	some	DET
dem-4197	11	30	strategies	strategy	NOUN
dem-4197	11	31	perform	perform	VERB
dem-4197	11	32	in	in	ADP
dem-4197	11	33	different	different	ADJ
dem-4197	11	34	way	way	NOUN
dem-4197	11	35	in	in	ADP
dem-4197	11	36	small	small	ADJ
dem-4197	11	37	and	and	CCONJ
dem-4197	11	38	large	large	ADJ
dem-4197	11	39	samples	sample	NOUN
dem-4197	11	40	)	)	PUNCT
dem-4197	11	41	,	,	PUNCT
dem-4197	11	42	characteristics	characteristic	NOUN
dem-4197	11	43	of	of	ADP
dem-4197	11	44	the	the	DET
dem-4197	11	45	data	data	NOUN
dem-4197	11	46	generating	generating	NOUN
dem-4197	11	47	model	model	NOUN
dem-4197	11	48	(	(	PUNCT
dem-4197	11	49	dgm)1	dgm)1	PROPN
dem-4197	11	50	.	.	PROPN
dem-4197	12	1	in	in	ADP
dem-4197	12	2	practice	practice	NOUN
dem-4197	12	3	,	,	PUNCT
dem-4197	12	4	there	there	PRON
dem-4197	12	5	is	be	VERB
dem-4197	12	6	a	a	DET
dem-4197	12	7	need	need	NOUN
dem-4197	12	8	to	to	PART
dem-4197	12	9	propose	propose	VERB
dem-4197	12	10	a	a	DET
dem-4197	12	11	data	data	NOUN
dem-4197	12	12	-	-	PUNCT
dem-4197	12	13	driven	drive	VERB
dem-4197	12	14	framework	framework	NOUN
dem-4197	12	15	which	which	PRON
dem-4197	12	16	allows	allow	VERB
dem-4197	12	17	to	to	PART
dem-4197	12	18	help	help	VERB
dem-4197	12	19	choosing	choose	VERB
dem-4197	12	20	a	a	DET
dem-4197	12	21	model	model	NOUN
dem-4197	12	22	selection	selection	NOUN
dem-4197	12	23	strategy	strategy	NOUN
dem-4197	12	24	without	without	ADP
dem-4197	12	25	making	make	VERB
dem-4197	12	26	any	any	DET
dem-4197	12	27	reference	reference	NOUN
dem-4197	12	28	to	to	ADP
dem-4197	12	29	the	the	DET
dem-4197	12	30	actual	actual	ADJ
dem-4197	12	31	dgm	dgm	PROPN
dem-4197	12	32	.	.	PUNCT
dem-4197	13	1	this	this	DET
dem-4197	13	2	identification	identification	NOUN
dem-4197	13	3	is	be	AUX
dem-4197	13	4	called	call	VERB
dem-4197	13	5	the	the	DET
dem-4197	13	6	meta	meta	ADJ
dem-4197	13	7	-	-	PUNCT
dem-4197	13	8	selection	selection	NOUN
dem-4197	13	9	of	of	ADP
dem-4197	13	10	a	a	DET
dem-4197	13	11	model	model	NOUN
dem-4197	13	12	(	(	PUNCT
dem-4197	13	13	de	de	X
dem-4197	13	14	luna	luna	PROPN
dem-4197	13	15	,	,	PUNCT
dem-4197	13	16	skouras	skoura	NOUN
dem-4197	13	17	,	,	PUNCT
dem-4197	13	18	2003	2003	NUM
dem-4197	13	19	)	)	PUNCT
dem-4197	13	20	.	.	PUNCT
dem-4197	14	1	the	the	DET
dem-4197	14	2	metaselection	metaselection	NOUN
dem-4197	14	3	framework	framework	NOUN
dem-4197	14	4	obeys	obey	VERB
dem-4197	14	5	the	the	DET
dem-4197	14	6	‘	'	PUNCT
dem-4197	14	7	prequential	prequential	ADJ
dem-4197	14	8	’	'	PUNCT
dem-4197	14	9	principle	principle	NOUN
dem-4197	14	10	(	(	PUNCT
dem-4197	14	11	dawid	dawid	PROPN
dem-4197	14	12	,	,	PUNCT
dem-4197	14	13	1984)2	1984)2	NUM
dem-4197	14	14	which	which	PRON
dem-4197	14	15	abandons	abandon	VERB
dem-4197	14	16	the	the	DET
dem-4197	14	17	goal	goal	NOUN
dem-4197	14	18	of	of	ADP
dem-4197	14	19	selecting	select	VERB
dem-4197	14	20	the	the	DET
dem-4197	14	21	true	true	ADJ
dem-4197	14	22	model	model	NOUN
dem-4197	14	23	in	in	ADP
dem-4197	14	24	favor	favor	NOUN
dem-4197	14	25	of	of	ADP
dem-4197	14	26	seeking	seek	VERB
dem-4197	14	27	as	as	ADV
dem-4197	14	28	small	small	ADJ
dem-4197	14	29	a	a	DET
dem-4197	14	30	predictive	predictive	ADJ
dem-4197	14	31	error	error	NOUN
dem-4197	14	32	as	as	ADP
dem-4197	14	33	possible	possible	ADJ
dem-4197	14	34	by	by	ADP
dem-4197	14	35	comparing	compare	VERB
dem-4197	14	36	obtained	obtain	VERB
dem-4197	14	37	predictions	prediction	NOUN
dem-4197	14	38	from	from	ADP
dem-4197	14	39	each	each	DET
dem-4197	14	40	strategy	strategy	NOUN
dem-4197	14	41	and	and	CCONJ
dem-4197	14	42	the	the	DET
dem-4197	14	43	actual	actual	ADJ
dem-4197	14	44	values	value	NOUN
dem-4197	14	45	observed	observe	VERB
dem-4197	14	46	for	for	ADP
dem-4197	14	47	the	the	DET
dem-4197	14	48	data	datum	NOUN
dem-4197	14	49	independent	independent	ADJ
dem-4197	14	50	on	on	ADP
dem-4197	14	51	which	which	DET
dem-4197	14	52	model	model	NOUN
dem-4197	14	53	was	be	AUX
dem-4197	14	54	used	use	VERB
dem-4197	14	55	to	to	PART
dem-4197	14	56	forecast	forecast	VERB
dem-4197	14	57	(	(	PUNCT
dem-4197	14	58	clarke	clarke	PROPN
dem-4197	14	59	,	,	PUNCT
dem-4197	14	60	2001	2001	NUM
dem-4197	14	61	)	)	PUNCT
dem-4197	14	62	.	.	PUNCT
dem-4197	15	1	the	the	DET
dem-4197	15	2	essential	essential	ADJ
dem-4197	15	3	point	point	NOUN
dem-4197	15	4	for	for	ADP
dem-4197	15	5	this	this	DET
dem-4197	15	6	approach	approach	NOUN
dem-4197	15	7	is	be	AUX
dem-4197	15	8	that	that	SCONJ
dem-4197	15	9	the	the	DET
dem-4197	15	10	adequacy	adequacy	NOUN
dem-4197	15	11	of	of	ADP
dem-4197	15	12	a	a	DET
dem-4197	15	13	model	model	NOUN
dem-4197	15	14	must	must	AUX
dem-4197	15	15	be	be	AUX
dem-4197	15	16	reflected	reflect	VERB
dem-4197	15	17	in	in	ADP
dem-4197	15	18	accurate	accurate	ADJ
dem-4197	15	19	prediction	prediction	NOUN
dem-4197	15	20	regardless	regardless	ADV
dem-4197	15	21	of	of	ADP
dem-4197	15	22	the	the	DET
dem-4197	15	23	goals	goal	NOUN
dem-4197	15	24	of	of	ADP
dem-4197	15	25	an	an	DET
dem-4197	15	26	analysis	analysis	NOUN
dem-4197	15	27	,	,	PUNCT
dem-4197	15	28	i.e.	i.e.	X
dem-4197	15	29	if	if	SCONJ
dem-4197	15	30	the	the	DET
dem-4197	15	31	goal	goal	NOUN
dem-4197	15	32	of	of	ADP
dem-4197	15	33	analysis	analysis	NOUN
dem-4197	15	34	is	be	AUX
dem-4197	15	35	model	model	NOUN
dem-4197	15	36	estimation	estimation	NOUN
dem-4197	15	37	(	(	PUNCT
dem-4197	15	38	model	model	NOUN
dem-4197	15	39	identification	identification	NOUN
dem-4197	15	40	or	or	CCONJ
dem-4197	15	41	hypothesis	hypothesis	NOUN
dem-4197	15	42	testing	testing	NOUN
dem-4197	15	43	)	)	PUNCT
dem-4197	15	44	,	,	PUNCT
dem-4197	15	45	then	then	ADV
dem-4197	15	46	the	the	DET
dem-4197	15	47	best	good	ADJ
dem-4197	15	48	model	model	NOUN
dem-4197	15	49	should	should	AUX
dem-4197	15	50	give	give	VERB
dem-4197	15	51	the	the	DET
dem-4197	15	52	best	good	ADJ
dem-4197	15	53	predictions	prediction	NOUN
dem-4197	15	54	.	.	PUNCT
dem-4197	16	1	the	the	DET
dem-4197	16	2	purpose	purpose	NOUN
dem-4197	16	3	of	of	ADP
dem-4197	16	4	the	the	DET
dem-4197	16	5	paper	paper	NOUN
dem-4197	16	6	is	be	AUX
dem-4197	16	7	to	to	PART
dem-4197	16	8	present	present	VERB
dem-4197	16	9	and	and	CCONJ
dem-4197	16	10	apply	apply	VERB
dem-4197	16	11	the	the	DET
dem-4197	16	12	accumulative	accumulative	ADJ
dem-4197	16	13	one	one	NUM
dem-4197	16	14	-	-	PUNCT
dem-4197	16	15	stepahead	stepahead	NOUN
dem-4197	16	16	prediction	prediction	NOUN
dem-4197	16	17	error	error	NOUN
dem-4197	16	18	(	(	PUNCT
dem-4197	16	19	ape	ape	NOUN
dem-4197	16	20	)	)	PUNCT
dem-4197	16	21	not	not	PART
dem-4197	16	22	only	only	ADV
dem-4197	16	23	as	as	ADP
dem-4197	16	24	a	a	DET
dem-4197	16	25	method	method	NOUN
dem-4197	16	26	(	(	PUNCT
dem-4197	16	27	strategy	strategy	NOUN
dem-4197	16	28	)	)	PUNCT
dem-4197	16	29	of	of	ADP
dem-4197	16	30	model	model	NOUN
dem-4197	16	31	selection	selection	NOUN
dem-4197	16	32	,	,	PUNCT
dem-4197	16	33	but	but	CCONJ
dem-4197	16	34	also	also	ADV
dem-4197	16	35	as	as	ADP
dem-4197	16	36	a	a	DET
dem-4197	16	37	tool	tool	NOUN
dem-4197	16	38	of	of	ADP
dem-4197	16	39	model	model	NOUN
dem-4197	16	40	selection	selection	NOUN
dem-4197	16	41	strategy	strategy	NOUN
dem-4197	16	42	(	(	PUNCT
dem-4197	16	43	meta	meta	NOUN
dem-4197	16	44	-	-	PUNCT
dem-4197	16	45	selection	selection	NOUN
dem-4197	16	46	)	)	PUNCT
dem-4197	16	47	.	.	PUNCT
dem-4197	17	1	2	2	X
dem-4197	17	2	.	.	X
dem-4197	17	3	accumulative	accumulative	ADJ
dem-4197	17	4	one	one	NUM
dem-4197	17	5	-	-	PUNCT
dem-4197	17	6	step	step	NOUN
dem-4197	17	7	-	-	PUNCT
dem-4197	17	8	ahead	ahead	NOUN
dem-4197	17	9	prediction	prediction	NOUN
dem-4197	17	10	error	error	NOUN
dem-4197	17	11	the	the	DET
dem-4197	17	12	choice	choice	NOUN
dem-4197	17	13	of	of	ADP
dem-4197	17	14	model	model	NOUN
dem-4197	17	15	according	accord	VERB
dem-4197	17	16	to	to	ADP
dem-4197	17	17	the	the	DET
dem-4197	17	18	accumulative	accumulative	ADJ
dem-4197	17	19	prediction	prediction	NOUN
dem-4197	17	20	error	error	NOUN
dem-4197	17	21	(	(	PUNCT
dem-4197	17	22	ape	ape	NOUN
dem-4197	17	23	)	)	PUNCT
dem-4197	17	24	consists	consist	VERB
dem-4197	17	25	in	in	ADP
dem-4197	17	26	evaluating	evaluate	VERB
dem-4197	17	27	how	how	SCONJ
dem-4197	17	28	well	well	ADV
dem-4197	17	29	the	the	DET
dem-4197	17	30	models	model	NOUN
dem-4197	17	31	in	in	ADP
dem-4197	17	32	the	the	DET
dem-4197	17	33	set	set	NOUN
dem-4197	17	34	are	be	AUX
dem-4197	17	35	able	able	ADJ
dem-4197	17	36	to	to	PART
dem-4197	17	37	predict	predict	VERB
dem-4197	17	38	the	the	DET
dem-4197	17	39	next	next	ADJ
dem-4197	17	40	unseen	unseen	ADJ
dem-4197	17	41	data	datum	NOUN
dem-4197	17	42	point	point	NOUN
dem-4197	17	43	1+nx	1+nx	NUM
dem-4197	17	44	.	.	PUNCT
dem-4197	18	1	in	in	ADP
dem-4197	18	2	other	other	ADJ
dem-4197	18	3	words	word	NOUN
dem-4197	18	4	,	,	PUNCT
dem-4197	18	5	according	accord	VERB
dem-4197	18	6	to	to	ADP
dem-4197	18	7	the	the	DET
dem-4197	18	8	ape	ape	NOUN
dem-4197	18	9	method	method	NOUN
dem-4197	18	10	the	the	DET
dem-4197	18	11	most	most	ADV
dem-4197	18	12	useful	useful	ADJ
dem-4197	18	13	model	model	NOUN
dem-4197	18	14	is	be	AUX
dem-4197	18	15	the	the	DET
dem-4197	18	16	model	model	NOUN
dem-4197	18	17	with	with	ADP
dem-4197	18	18	the	the	DET
dem-4197	18	19	smallest	small	ADJ
dem-4197	18	20	out	out	ADP
dem-4197	18	21	-	-	PUNCT
dem-4197	18	22	of	of	ADP
dem-4197	18	23	-	-	PUNCT
dem-4197	18	24	sample	sample	NOUN
dem-4197	18	25	one	one	NUM
dem-4197	18	26	-	-	PUNCT
dem-4197	18	27	step	step	NOUN
dem-4197	18	28	-	-	PUNCT
dem-4197	18	29	ahead	ahead	NOUN
dem-4197	18	30	prediction	prediction	NOUN
dem-4197	18	31	error	error	NOUN
dem-4197	18	32	.	.	PUNCT
dem-4197	19	1	the	the	DET
dem-4197	19	2	prediction	prediction	NOUN
dem-4197	19	3	error	error	NOUN
dem-4197	19	4	can	can	AUX
dem-4197	19	5	not	not	PART
dem-4197	19	6	be	be	AUX
dem-4197	19	7	calculated	calculate	VERB
dem-4197	19	8	because	because	SCONJ
dem-4197	19	9	1+nx	1+nx	NUM
dem-4197	19	10	has	have	AUX
dem-4197	19	11	not	not	PART
dem-4197	19	12	been	be	AUX
dem-4197	19	13	observed	observe	VERB
dem-4197	19	14	.	.	PUNCT
dem-4197	20	1	what	what	PRON
dem-4197	20	2	can	can	AUX
dem-4197	20	3	be	be	AUX
dem-4197	20	4	calculated	calculate	VERB
dem-4197	20	5	,	,	PUNCT
dem-4197	20	6	however	however	ADV
dem-4197	20	7	,	,	PUNCT
dem-4197	20	8	are	be	AUX
dem-4197	20	9	the	the	DET
dem-4197	20	10	prediction	prediction	NOUN
dem-4197	20	11	error	error	NOUN
dem-4197	20	12	for	for	ADP
dem-4197	20	13	1+ix	1+ix	NUM
dem-4197	20	14	based	base	VERB
dem-4197	20	15	on	on	ADP
dem-4197	20	16	the	the	DET
dem-4197	20	17	previous	previous	ADJ
dem-4197	20	18	ix	ix	ADP
dem-4197	20	19	)	)	PUNCT
dem-4197	20	20	0	0	PROPN
dem-4197	20	21	(	(	PUNCT
dem-4197	20	22	ni	ni	NOUN
dem-4197	20	23	<	<	X
dem-4197	20	24	<	<	X
dem-4197	20	25	by	by	ADP
dem-4197	20	26	the	the	DET
dem-4197	20	27	sum	sum	NOUN
dem-4197	20	28	of	of	ADP
dem-4197	20	29	the	the	DET
dem-4197	20	30	previous	previous	ADJ
dem-4197	20	31	one	one	NUM
dem-4197	20	32	-	-	PUNCT
dem-4197	20	33	stepahead	stepahead	NOUN
dem-4197	20	34	prediction	prediction	NOUN
dem-4197	20	35	errors	error	NOUN
dem-4197	20	36	for	for	ADP
dem-4197	20	37	data	datum	NOUN
dem-4197	20	38	that	that	PRON
dem-4197	20	39	are	be	AUX
dem-4197	20	40	available	available	ADJ
dem-4197	20	41	.	.	PUNCT
dem-4197	21	1	let	let	VERB
dem-4197	21	2	us	we	PRON
dem-4197	21	3	consider	consider	VERB
dem-4197	21	4	a	a	DET
dem-4197	21	5	time	time	NOUN
dem-4197	21	6	series	series	NOUN
dem-4197	21	7	of	of	ADP
dem-4197	21	8	n	n	PROPN
dem-4197	21	9	observations	observation	NOUN
dem-4197	21	10	,	,	PUNCT
dem-4197	21	11	)	)	PUNCT
dem-4197	21	12	,	,	PUNCT
dem-4197	21	13	...	...	PUNCT
dem-4197	21	14	,	,	PUNCT
dem-4197	21	15	,	,	PUNCT
dem-4197	21	16	(	(	PUNCT
dem-4197	21	17	21	21	NUM
dem-4197	21	18	n	n	NOUN
dem-4197	21	19	n	n	NOUN
dem-4197	21	20	xxxx	xxxx	NOUN
dem-4197	21	21	=	=	PUNCT
dem-4197	21	22	.	.	PUNCT
dem-4197	22	1	1	1	NUM
dem-4197	22	2	some	some	DET
dem-4197	22	3	strategies	strategy	NOUN
dem-4197	22	4	are	be	AUX
dem-4197	22	5	optimal	optimal	ADJ
dem-4197	22	6	depending	depend	VERB
dem-4197	22	7	on	on	ADP
dem-4197	22	8	whether	whether	SCONJ
dem-4197	22	9	the	the	DET
dem-4197	22	10	data	data	NOUN
dem-4197	22	11	generating	generating	NOUN
dem-4197	22	12	model	model	NOUN
dem-4197	22	13	is	be	AUX
dem-4197	22	14	one	one	NUM
dem-4197	22	15	of	of	ADP
dem-4197	22	16	the	the	DET
dem-4197	22	17	candidate	candidate	NOUN
dem-4197	22	18	models	model	NOUN
dem-4197	22	19	or	or	CCONJ
dem-4197	22	20	not	not	PART
dem-4197	22	21	(	(	PUNCT
dem-4197	22	22	shao	shao	PROPN
dem-4197	22	23	,	,	PUNCT
dem-4197	22	24	1997	1997	NUM
dem-4197	22	25	)	)	PUNCT
dem-4197	22	26	.	.	PUNCT
dem-4197	23	1	2	2	NUM
dem-4197	23	2	‘	'	PUNCT
dem-4197	23	3	prequential	prequential	ADJ
dem-4197	23	4	’	'	PUNCT
dem-4197	23	5	is	be	AUX
dem-4197	23	6	from	from	ADP
dem-4197	23	7	predictive	predictive	ADJ
dem-4197	23	8	sequential	sequential	ADJ
dem-4197	23	9	(	(	PUNCT
dem-4197	23	10	dawid	dawid	NOUN
dem-4197	23	11	,	,	PUNCT
dem-4197	23	12	1984	1984	NUM
dem-4197	23	13	)	)	PUNCT
dem-4197	23	14	.	.	PUNCT
dem-4197	24	1	choosing	choose	VERB
dem-4197	24	2	a	a	DET
dem-4197	24	3	model	model	NOUN
dem-4197	24	4	and	and	CCONJ
dem-4197	24	5	model	model	NOUN
dem-4197	24	6	selection	selection	NOUN
dem-4197	24	7	strategy	strategy	NOUN
dem-4197	24	8	by	by	ADP
dem-4197	24	9	…	…	PUNCT
dem-4197	24	10	109	109	NUM
dem-4197	24	11	the	the	DET
dem-4197	24	12	ape	ape	NOUN
dem-4197	24	13	method	method	NOUN
dem-4197	24	14	proceeds	proceed	NOUN
dem-4197	24	15	by	by	ADP
dem-4197	24	16	calculating	calculate	VERB
dem-4197	24	17	sequential	sequential	ADJ
dem-4197	24	18	one	one	NUM
dem-4197	24	19	-	-	PUNCT
dem-4197	24	20	step	step	NOUN
dem-4197	24	21	-	-	PUNCT
dem-4197	24	22	ahead	ahead	NOUN
dem-4197	24	23	forecasts	forecast	NOUN
dem-4197	24	24	based	base	VERB
dem-4197	24	25	on	on	ADP
dem-4197	24	26	a	a	DET
dem-4197	24	27	gradually	gradually	ADV
dem-4197	24	28	increasing	increase	VERB
dem-4197	24	29	part	part	NOUN
dem-4197	24	30	of	of	ADP
dem-4197	24	31	the	the	DET
dem-4197	24	32	data	datum	NOUN
dem-4197	24	33	.	.	PUNCT
dem-4197	25	1	for	for	ADP
dem-4197	25	2	model	model	NOUN
dem-4197	25	3	jm	jm	PROPN
dem-4197	25	4	the	the	DET
dem-4197	25	5	ape	ape	NOUN
dem-4197	25	6	is	be	AUX
dem-4197	25	7	calculated	calculate	VERB
dem-4197	25	8	as	as	ADP
dem-4197	25	9	follows	follow	VERB
dem-4197	25	10	(	(	PUNCT
dem-4197	25	11	wagenmaker	wagenmaker	PROPN
dem-4197	25	12	,	,	PUNCT
dem-4197	25	13	grunwald	grunwald	NOUN
dem-4197	25	14	,	,	PUNCT
dem-4197	25	15	steyvers	steyver	NOUN
dem-4197	25	16	,	,	PUNCT
dem-4197	25	17	2006	2006	NUM
dem-4197	25	18	):	):	PUNCT
dem-4197	25	19	1	1	NUM
dem-4197	25	20	.	.	X
dem-4197	25	21	determine	determine	VERB
dem-4197	25	22	the	the	DET
dem-4197	25	23	smallest	small	ADJ
dem-4197	25	24	number	number	NOUN
dem-4197	25	25	s	s	VERB
dem-4197	25	26	of	of	ADP
dem-4197	25	27	observations	observation	NOUN
dem-4197	25	28	that	that	PRON
dem-4197	25	29	makes	make	VERB
dem-4197	25	30	the	the	DET
dem-4197	25	31	model	model	NOUN
dem-4197	25	32	identifiable	identifiable	ADJ
dem-4197	25	33	.	.	PUNCT
dem-4197	26	1	set	set	VERB
dem-4197	26	2	1+=	1+=	NUM
dem-4197	26	3	si	si	NOUN
dem-4197	26	4	,	,	PUNCT
dem-4197	26	5	so	so	SCONJ
dem-4197	26	6	that	that	SCONJ
dem-4197	26	7	si	si	PROPN
dem-4197	26	8	=	=	NOUN
dem-4197	26	9	−1	−1	NOUN
dem-4197	26	10	.	.	PUNCT
dem-4197	27	1	2	2	X
dem-4197	27	2	.	.	PUNCT
dem-4197	27	3	based	base	VERB
dem-4197	27	4	on	on	ADP
dem-4197	27	5	the	the	DET
dem-4197	27	6	first	first	ADJ
dem-4197	27	7	1−i	1−i	NUM
dem-4197	27	8	observations	observation	NOUN
dem-4197	27	9	,	,	PUNCT
dem-4197	27	10	calculate	calculate	VERB
dem-4197	27	11	a	a	DET
dem-4197	27	12	prediction	prediction	NOUN
dem-4197	27	13	ip̂	ip̂	VERB
dem-4197	27	14	for	for	ADP
dem-4197	27	15	the	the	DET
dem-4197	27	16	next	next	ADJ
dem-4197	27	17	observation	observation	NOUN
dem-4197	27	18	i	i	PRON
dem-4197	27	19	.	.	PUNCT
dem-4197	28	1	3	3	X
dem-4197	28	2	.	.	X
dem-4197	28	3	calculate	calculate	VERB
dem-4197	28	4	the	the	DET
dem-4197	28	5	prediction	prediction	NOUN
dem-4197	28	6	error	error	NOUN
dem-4197	28	7	for	for	ADP
dem-4197	28	8	observation	observation	NOUN
dem-4197	28	9	i	i	PRON
dem-4197	28	10	,	,	PUNCT
dem-4197	28	11	e.g.	e.g.	ADV
dem-4197	28	12	squared	square	VERB
dem-4197	28	13	difference	difference	NOUN
dem-4197	28	14	between	between	ADP
dem-4197	28	15	the	the	DET
dem-4197	28	16	predicted	predict	VERB
dem-4197	28	17	value	value	NOUN
dem-4197	28	18	ip̂	ip̂	VERB
dem-4197	28	19	and	and	CCONJ
dem-4197	28	20	the	the	DET
dem-4197	28	21	observed	observed	ADJ
dem-4197	28	22	value	value	NOUN
dem-4197	28	23	ix	ix	X
dem-4197	28	24	.	.	PUNCT
dem-4197	29	1	4	4	X
dem-4197	29	2	.	.	X
dem-4197	29	3	increase	increase	VERB
dem-4197	29	4	i	i	PRON
dem-4197	29	5	by	by	ADP
dem-4197	29	6	1	1	NUM
dem-4197	29	7	and	and	CCONJ
dem-4197	29	8	repeat	repeat	VERB
dem-4197	29	9	steps	step	NOUN
dem-4197	29	10	2	2	NUM
dem-4197	29	11	and	and	CCONJ
dem-4197	29	12	3	3	NUM
dem-4197	29	13	until	until	ADP
dem-4197	29	14	ni	ni	PROPN
dem-4197	29	15	=	=	PROPN
dem-4197	29	16	.	.	PUNCT
dem-4197	30	1	5	5	X
dem-4197	30	2	.	.	X
dem-4197	30	3	sum	sum	VERB
dem-4197	30	4	all	all	PRON
dem-4197	30	5	of	of	ADP
dem-4197	30	6	the	the	DET
dem-4197	30	7	one	one	NUM
dem-4197	30	8	-	-	PUNCT
dem-4197	30	9	step	step	NOUN
dem-4197	30	10	-	-	PUNCT
dem-4197	30	11	ahead	ahead	NOUN
dem-4197	30	12	prediction	prediction	NOUN
dem-4197	30	13	errors	error	NOUN
dem-4197	30	14	as	as	SCONJ
dem-4197	30	15	calculated	calculate	VERB
dem-4197	30	16	in	in	ADP
dem-4197	30	17	step	step	NOUN
dem-4197	30	18	3	3	NUM
dem-4197	30	19	.	.	PUNCT
dem-4197	31	1	the	the	DET
dem-4197	31	2	result	result	NOUN
dem-4197	31	3	is	be	AUX
dem-4197	31	4	the	the	DET
dem-4197	31	5	ape	ape	NOUN
dem-4197	31	6	.	.	PUNCT
dem-4197	32	1	for	for	ADP
dem-4197	32	2	model	model	NOUN
dem-4197	32	3	jm	jm	PROPN
dem-4197	32	4	the	the	DET
dem-4197	32	5	accumulative	accumulative	ADJ
dem-4197	32	6	prediction	prediction	NOUN
dem-4197	32	7	terror	terror	NOUN
dem-4197	32	8	is	be	AUX
dem-4197	32	9	given	give	VERB
dem-4197	32	10	by	by	ADP
dem-4197	32	11	:	:	PUNCT
dem-4197	32	12	1	1	NUM
dem-4197	32	13	1	1	NUM
dem-4197	32	14	ˆape	ˆape	NOUN
dem-4197	32	15	(	(	PUNCT
dem-4197	32	16	)	)	PUNCT
dem-4197	32	17	[	[	PUNCT
dem-4197	32	18	,	,	PUNCT
dem-4197	32	19	(	(	PUNCT
dem-4197	32	20	)	)	PUNCT
dem-4197	32	21	]	]	PUNCT
dem-4197	32	22	,	,	PUNCT
dem-4197	32	23	n	n	CCONJ
dem-4197	33	1	i	i	PRON
dem-4197	33	2	j	j	VERB
dem-4197	34	1	i	i	PRON
dem-4197	34	2	ii	ii	VERB
dem-4197	34	3	s	s	VERB
dem-4197	34	4	m	m	NOUN
dem-4197	34	5	d	d	NOUN
dem-4197	34	6	x	x	X
dem-4197	34	7	p	p	X
dem-4197	34	8	x	x	X
dem-4197	34	9	−	−	PROPN
dem-4197	34	10	=	=	SYM
dem-4197	35	1	+	+	PUNCT
dem-4197	35	2	=	=	NOUN
dem-4197	35	3	∑	∑	PROPN
dem-4197	35	4	where	where	SCONJ
dem-4197	35	5	d	d	PROPN
dem-4197	35	6	indicates	indicate	VERB
dem-4197	35	7	the	the	DET
dem-4197	35	8	specific	specific	ADJ
dem-4197	35	9	loss	loss	NOUN
dem-4197	35	10	function	function	NOUN
dem-4197	35	11	that	that	PRON
dem-4197	35	12	quantifies	quantify	VERB
dem-4197	35	13	the	the	DET
dem-4197	35	14	discrepancy	discrepancy	NOUN
dem-4197	35	15	between	between	ADP
dem-4197	35	16	observed	observed	ADJ
dem-4197	35	17	and	and	CCONJ
dem-4197	35	18	predicted	predict	VERB
dem-4197	35	19	values	value	NOUN
dem-4197	35	20	.	.	PUNCT
dem-4197	36	1	applying	apply	VERB
dem-4197	36	2	the	the	DET
dem-4197	36	3	ape	ape	NOUN
dem-4197	36	4	method	method	VERB
dem-4197	36	5	the	the	DET
dem-4197	36	6	form	form	NOUN
dem-4197	36	7	of	of	ADP
dem-4197	36	8	prediction	prediction	NOUN
dem-4197	36	9	should	should	AUX
dem-4197	36	10	be	be	AUX
dem-4197	36	11	considered	consider	VERB
dem-4197	36	12	:	:	PUNCT
dem-4197	36	13	whether	whether	SCONJ
dem-4197	36	14	to	to	PART
dem-4197	36	15	predict	predict	VERB
dem-4197	36	16	using	use	VERB
dem-4197	36	17	a	a	DET
dem-4197	36	18	single	single	ADJ
dem-4197	36	19	value	value	NOUN
dem-4197	36	20	(	(	PUNCT
dem-4197	36	21	skouras	skouras	PROPN
dem-4197	36	22	,	,	PUNCT
dem-4197	36	23	dawid	dawid	NOUN
dem-4197	36	24	,	,	PUNCT
dem-4197	36	25	1998	1998	NUM
dem-4197	36	26	)	)	PUNCT
dem-4197	36	27	or	or	CCONJ
dem-4197	36	28	a	a	DET
dem-4197	36	29	probability	probability	NOUN
dem-4197	36	30	distribution	distribution	NOUN
dem-4197	36	31	(	(	PUNCT
dem-4197	36	32	aitchison	aitchison	PROPN
dem-4197	36	33	,	,	PUNCT
dem-4197	36	34	dunsmore	dunsmore	NOUN
dem-4197	36	35	,	,	PUNCT
dem-4197	36	36	1975	1975	NUM
dem-4197	36	37	)	)	PUNCT
dem-4197	36	38	.	.	PUNCT
dem-4197	37	1	in	in	ADP
dem-4197	37	2	the	the	DET
dem-4197	37	3	first	first	ADJ
dem-4197	37	4	case	case	NOUN
dem-4197	37	5	,	,	PUNCT
dem-4197	37	6	the	the	DET
dem-4197	37	7	predictions	prediction	NOUN
dem-4197	37	8	ip̂	ip̂	VERB
dem-4197	37	9	are	be	AUX
dem-4197	37	10	predictions	prediction	NOUN
dem-4197	37	11	for	for	ADP
dem-4197	37	12	the	the	DET
dem-4197	37	13	mean	mean	ADJ
dem-4197	37	14	value	value	NOUN
dem-4197	37	15	of	of	ADP
dem-4197	37	16	ith	ith	PROPN
dem-4197	37	17	outcome	outcome	NOUN
dem-4197	37	18	ix	ix	X
dem-4197	37	19	.	.	PUNCT
dem-4197	38	1	in	in	ADP
dem-4197	38	2	the	the	DET
dem-4197	38	3	latter	latter	ADJ
dem-4197	38	4	case	case	NOUN
dem-4197	38	5	,	,	PUNCT
dem-4197	38	6	ip̂	ip̂	VERB
dem-4197	38	7	is	be	AUX
dem-4197	38	8	a	a	DET
dem-4197	38	9	distribution	distribution	NOUN
dem-4197	38	10	on	on	ADP
dem-4197	38	11	the	the	DET
dem-4197	38	12	set	set	NOUN
dem-4197	38	13	of	of	ADP
dem-4197	38	14	possible	possible	ADJ
dem-4197	38	15	outcomes	outcome	NOUN
dem-4197	38	16	ix	ix	X
dem-4197	38	17	.	.	PUNCT
dem-4197	39	1	the	the	DET
dem-4197	39	2	choice	choice	NOUN
dem-4197	39	3	of	of	ADP
dem-4197	39	4	the	the	DET
dem-4197	39	5	loss	loss	NOUN
dem-4197	39	6	function	function	NOUN
dem-4197	39	7	should	should	AUX
dem-4197	39	8	be	be	AUX
dem-4197	39	9	considered	consider	VERB
dem-4197	39	10	in	in	ADP
dem-4197	39	11	order	order	NOUN
dem-4197	39	12	to	to	PART
dem-4197	39	13	quantify	quantify	VERB
dem-4197	39	14	the	the	DET
dem-4197	39	15	discrepancy	discrepancy	NOUN
dem-4197	39	16	between	between	ADP
dem-4197	39	17	predicted	predict	VERB
dem-4197	39	18	values	value	NOUN
dem-4197	39	19	and	and	CCONJ
dem-4197	39	20	observed	observed	ADJ
dem-4197	39	21	values	value	NOUN
dem-4197	39	22	.	.	PUNCT
dem-4197	40	1	this	this	PRON
dem-4197	40	2	can	can	AUX
dem-4197	40	3	be	be	AUX
dem-4197	40	4	measured	measure	VERB
dem-4197	40	5	in	in	ADP
dem-4197	40	6	a	a	DET
dem-4197	40	7	variety	variety	NOUN
dem-4197	40	8	of	of	ADP
dem-4197	40	9	different	different	ADJ
dem-4197	40	10	ways	way	NOUN
dem-4197	40	11	.	.	PUNCT
dem-4197	41	1	for	for	ADP
dem-4197	41	2	a	a	DET
dem-4197	41	3	single	single	ADJ
dem-4197	41	4	-	-	PUNCT
dem-4197	41	5	value	value	NOUN
dem-4197	41	6	predictions	prediction	NOUN
dem-4197	41	7	,	,	PUNCT
dem-4197	41	8	one	one	NUM
dem-4197	41	9	typically	typically	ADV
dem-4197	41	10	uses	use	VERB
dem-4197	41	11	the	the	DET
dem-4197	41	12	squared	square	VERB
dem-4197	41	13	error	error	NOUN
dem-4197	41	14	2)ˆ	2)ˆ	NOUN
dem-4197	41	15	(	(	PUNCT
dem-4197	41	16	ii	ii	NOUN
dem-4197	41	17	px	px	PROPN
dem-4197	41	18	−	−	PROPN
dem-4197	41	19	.	.	PUNCT
dem-4197	42	1	another	another	DET
dem-4197	42	2	choice	choice	NOUN
dem-4197	42	3	would	would	AUX
dem-4197	42	4	be	be	AUX
dem-4197	42	5	to	to	PART
dem-4197	42	6	compute	compute	VERB
dem-4197	42	7	the	the	DET
dem-4197	42	8	absolute	absolute	ADJ
dem-4197	42	9	value	value	NOUN
dem-4197	42	10	loss	loss	NOUN
dem-4197	42	11	ii	ii	NOUN
dem-4197	42	12	px	px	PROPN
dem-4197	42	13	ˆ−	ˆ−	PROPN
dem-4197	42	14	or	or	CCONJ
dem-4197	42	15	more	more	ADV
dem-4197	42	16	generally	generally	ADV
dem-4197	42	17	an	an	DET
dem-4197	42	18	α	α	NOUN
dem-4197	42	19	-	-	PUNCT
dem-4197	42	20	loss	loss	NOUN
dem-4197	42	21	function	function	NOUN
dem-4197	42	22	α	α	PROPN
dem-4197	42	23	ii	ii	NOUN
dem-4197	42	24	px	px	PROPN
dem-4197	42	25	ˆ−	ˆ−	PROPN
dem-4197	42	26	,	,	PUNCT
dem-4197	42	27	where	where	SCONJ
dem-4197	42	28	]	]	X
dem-4197	42	29	2,1[∈α	2,1[∈α	NUM
dem-4197	42	30	(	(	PUNCT
dem-4197	42	31	rissanen	rissanen	NOUN
dem-4197	42	32	,	,	PUNCT
dem-4197	42	33	2003	2003	NUM
dem-4197	42	34	)	)	PUNCT
dem-4197	42	35	.	.	PUNCT
dem-4197	43	1	for	for	ADP
dem-4197	43	2	probabilistic	probabilistic	ADJ
dem-4197	43	3	predictions	prediction	NOUN
dem-4197	43	4	,	,	PUNCT
dem-4197	43	5	one	one	NUM
dem-4197	43	6	typically	typically	ADV
dem-4197	43	7	uses	use	VERB
dem-4197	43	8	the	the	DET
dem-4197	43	9	logarithmic	logarithmic	ADJ
dem-4197	43	10	loss	loss	NOUN
dem-4197	43	11	function	function	NOUN
dem-4197	43	12	)	)	PUNCT
dem-4197	43	13	(	(	PUNCT
dem-4197	43	14	ˆln	ˆln	PROPN
dem-4197	43	15	ii	ii	PROPN
dem-4197	43	16	xp−	xp−	PROPN
dem-4197	43	17	,	,	PUNCT
dem-4197	43	18	thus	thus	ADV
dem-4197	43	19	the	the	DET
dem-4197	43	20	loss	loss	NOUN
dem-4197	43	21	depends	depend	VERB
dem-4197	43	22	on	on	ADP
dem-4197	43	23	the	the	DET
dem-4197	43	24	probability	probability	NOUN
dem-4197	43	25	mass	mass	NOUN
dem-4197	43	26	or	or	CCONJ
dem-4197	43	27	density	density	NOUN
dem-4197	43	28	that	that	PRON
dem-4197	43	29	ip̂	ip̂	VERB
dem-4197	43	30	assigns	assign	NOUN
dem-4197	43	31	to	to	ADP
dem-4197	43	32	the	the	DET
dem-4197	43	33	actually	actually	ADV
dem-4197	43	34	observed	observe	VERB
dem-4197	43	35	outcome	outcome	NOUN
dem-4197	43	36	.ix	.ix	PUNCT
dem-4197	44	1	the	the	PRON
dem-4197	44	2	larger	large	ADJ
dem-4197	44	3	the	the	DET
dem-4197	44	4	probability	probability	NOUN
dem-4197	44	5	,	,	PUNCT
dem-4197	44	6	the	the	PRON
dem-4197	44	7	smaller	small	ADJ
dem-4197	44	8	the	the	DET
dem-4197	44	9	loss3	loss3	NOUN
dem-4197	44	10	.	.	PUNCT
dem-4197	45	1	3	3	NUM
dem-4197	45	2	taking	take	VERB
dem-4197	45	3	the	the	DET
dem-4197	45	4	logarithmic	logarithmic	ADJ
dem-4197	45	5	loss	loss	NOUN
dem-4197	45	6	function	function	NOUN
dem-4197	45	7	makes	make	VERB
dem-4197	45	8	the	the	DET
dem-4197	45	9	ape	ape	NOUN
dem-4197	45	10	method	method	NOUN
dem-4197	45	11	compatible	compatible	ADJ
dem-4197	45	12	with	with	ADP
dem-4197	45	13	maximum	maximum	ADJ
dem-4197	45	14	likelihood	likelihood	NOUN
dem-4197	45	15	,	,	PUNCT
dem-4197	45	16	bayesian	bayesian	NOUN
dem-4197	45	17	inference	inference	NOUN
dem-4197	45	18	and	and	CCONJ
dem-4197	45	19	minimum	minimum	NOUN
dem-4197	45	20	description	description	NOUN
dem-4197	45	21	length	length	NOUN
dem-4197	45	22	(	(	PUNCT
dem-4197	45	23	mdl	mdl	PROPN
dem-4197	45	24	)	)	PUNCT
dem-4197	45	25	(	(	PUNCT
dem-4197	45	26	amongst	amongst	ADP
dem-4197	45	27	others	other	NOUN
dem-4197	45	28	:	:	PUNCT
dem-4197	45	29	wagenmaker	wagenmaker	NOUN
dem-4197	45	30	,	,	PUNCT
dem-4197	45	31	grünwald	grünwald	NOUN
dem-4197	45	32	,	,	PUNCT
dem-4197	45	33	steyvers	steyver	NOUN
dem-4197	45	34	,	,	PUNCT
dem-4197	45	35	2006	2006	NUM
dem-4197	45	36	)	)	PUNCT
dem-4197	45	37	.	.	PUNCT
dem-4197	46	1	mariola	mariola	PROPN
dem-4197	46	2	piłatowska	piłatowska	NOUN
dem-4197	46	3	110	110	NUM
dem-4197	46	4	the	the	DET
dem-4197	46	5	ape	ape	NOUN
dem-4197	46	6	method	method	NOUN
dem-4197	46	7	can	can	AUX
dem-4197	46	8	be	be	AUX
dem-4197	46	9	also	also	ADV
dem-4197	46	10	applied	apply	VERB
dem-4197	46	11	to	to	PART
dem-4197	46	12	select	select	VERB
dem-4197	46	13	the	the	DET
dem-4197	46	14	model	model	NOUN
dem-4197	46	15	selection	selection	NOUN
dem-4197	46	16	strategy	strategy	NOUN
dem-4197	46	17	(	(	PUNCT
dem-4197	46	18	de	de	X
dem-4197	46	19	luna	luna	PROPN
dem-4197	46	20	,	,	PUNCT
dem-4197	46	21	skouras	skoura	NOUN
dem-4197	46	22	,	,	PUNCT
dem-4197	46	23	2003	2003	NUM
dem-4197	46	24	)	)	PUNCT
dem-4197	46	25	.	.	PUNCT
dem-4197	47	1	let	let	VERB
dem-4197	47	2	qsss	qsss	VERB
dem-4197	47	3	,	,	PUNCT
dem-4197	47	4	...	...	PUNCT
dem-4197	47	5	,	,	PUNCT
dem-4197	47	6	,	,	PUNCT
dem-4197	47	7	21	21	NUM
dem-4197	47	8	qk	qk	NOUN
dem-4197	47	9	,	,	PUNCT
dem-4197	47	10	...	...	PUNCT
dem-4197	47	11	,	,	PUNCT
dem-4197	47	12	2,1=	2,1=	PROPN
dem-4197	47	13	be	be	AUX
dem-4197	47	14	q	q	ADJ
dem-4197	47	15	potential	potential	ADJ
dem-4197	47	16	model	model	NOUN
dem-4197	47	17	selection	selection	NOUN
dem-4197	47	18	strategies	strategy	NOUN
dem-4197	47	19	applicable	applicable	ADJ
dem-4197	47	20	to	to	ADP
dem-4197	47	21	a	a	DET
dem-4197	47	22	given	give	VERB
dem-4197	47	23	set	set	NOUN
dem-4197	47	24	of	of	ADP
dem-4197	47	25	model	model	NOUN
dem-4197	47	26	)	)	PUNCT
dem-4197	47	27	(	(	PUNCT
dem-4197	47	28	ppp	ppp	PROPN
dem-4197	47	29	θ	θ	PROPN
dem-4197	47	30	,	,	PUNCT
dem-4197	47	31	mp	mp	PROPN
dem-4197	47	32	,	,	PUNCT
dem-4197	47	33	...	...	PUNCT
dem-4197	47	34	,	,	PUNCT
dem-4197	47	35	2,1=	2,1=	NUM
dem-4197	47	36	which	which	PRON
dem-4197	47	37	approximate	approximate	VERB
dem-4197	47	38	the	the	DET
dem-4197	47	39	data	data	NOUN
dem-4197	47	40	generating	generating	NOUN
dem-4197	47	41	model	model	NOUN
dem-4197	47	42	.	.	PUNCT
dem-4197	48	1	the	the	DET
dem-4197	48	2	parameters	parameter	NOUN
dem-4197	48	3	pθ	pθ	VERB
dem-4197	48	4	assigned	assign	VERB
dem-4197	48	5	to	to	ADP
dem-4197	48	6	each	each	DET
dem-4197	48	7	model	model	NOUN
dem-4197	48	8	have	have	VERB
dem-4197	48	9	to	to	PART
dem-4197	48	10	be	be	AUX
dem-4197	48	11	estimated	estimate	VERB
dem-4197	48	12	.	.	PUNCT
dem-4197	49	1	if	if	SCONJ
dem-4197	49	2	each	each	DET
dem-4197	49	3	strategy	strategy	NOUN
dem-4197	49	4	leads	lead	VERB
dem-4197	49	5	to	to	ADP
dem-4197	49	6	an	an	DET
dem-4197	49	7	identical	identical	ADJ
dem-4197	49	8	choice	choice	NOUN
dem-4197	49	9	of	of	ADP
dem-4197	49	10	model	model	NOUN
dem-4197	49	11	p	p	NOUN
dem-4197	49	12	,	,	PUNCT
dem-4197	49	13	there	there	PRON
dem-4197	49	14	is	be	VERB
dem-4197	49	15	no	no	DET
dem-4197	49	16	real	real	ADJ
dem-4197	49	17	reason	reason	NOUN
dem-4197	49	18	for	for	ADP
dem-4197	49	19	selecting	select	VERB
dem-4197	49	20	a	a	DET
dem-4197	49	21	given	give	VERB
dem-4197	49	22	strategy	strategy	NOUN
dem-4197	49	23	.	.	PUNCT
dem-4197	50	1	in	in	ADP
dem-4197	50	2	the	the	DET
dem-4197	50	3	case	case	NOUN
dem-4197	50	4	of	of	ADP
dem-4197	50	5	disagreement	disagreement	NOUN
dem-4197	50	6	,	,	PUNCT
dem-4197	50	7	however	however	ADV
dem-4197	50	8	,	,	PUNCT
dem-4197	50	9	a	a	DET
dem-4197	50	10	strategy	strategy	NOUN
dem-4197	50	11	ks	ks	NOUN
dem-4197	50	12	,	,	PUNCT
dem-4197	50	13	qk	qk	INTJ
dem-4197	50	14	,	,	PUNCT
dem-4197	50	15	...	...	PUNCT
dem-4197	50	16	,	,	PUNCT
dem-4197	50	17	2,1=	2,1=	NUM
dem-4197	50	18	,	,	PUNCT
dem-4197	50	19	is	be	AUX
dem-4197	50	20	selected	select	VERB
dem-4197	50	21	for	for	ADP
dem-4197	50	22	which	which	PRON
dem-4197	50	23	the	the	DET
dem-4197	50	24	accumulated	accumulate	VERB
dem-4197	50	25	prediction	prediction	NOUN
dem-4197	50	26	error	error	NOUN
dem-4197	50	27	1ˆape	1ˆape	NOUN
dem-4197	50	28	(	(	PUNCT
dem-4197	50	29	)	)	PUNCT
dem-4197	50	30	(	(	PUNCT
dem-4197	50	31	,	,	PUNCT
dem-4197	50	32	(	(	PUNCT
dem-4197	50	33	)	)	PUNCT
dem-4197	50	34	,	,	PUNCT
dem-4197	51	1	n	n	CCONJ
dem-4197	52	1	i	i	PRON
dem-4197	52	2	k	k	VERB
dem-4197	53	1	i	i	PRON
dem-4197	53	2	ki	ki	PROPN
dem-4197	54	1	m	m	VERB
dem-4197	54	2	s	s	PART
dem-4197	54	3	l	l	NOUN
dem-4197	54	4	x	x	PUNCT
dem-4197	55	1	x	x	X
dem-4197	55	2	s−	s−	NOUN
dem-4197	55	3	=	=	PUNCT
dem-4197	56	1	=	=	NOUN
dem-4197	56	2	∑	∑	PUNCT
dem-4197	56	3	reaches	reach	VERB
dem-4197	56	4	the	the	DET
dem-4197	56	5	minimum	minimum	NOUN
dem-4197	56	6	,	,	PUNCT
dem-4197	56	7	where	where	SCONJ
dem-4197	56	8	)	)	PUNCT
dem-4197	56	9	(	(	PUNCT
dem-4197	56	10	ˆ	ˆ	NOUN
dem-4197	56	11	1	1	NUM
dem-4197	56	12	k	k	NOUN
dem-4197	57	1	i	i	PRON
dem-4197	57	2	sx	sx	PROPN
dem-4197	57	3	−	−	PROPN
dem-4197	57	4	is	be	AUX
dem-4197	57	5	the	the	DET
dem-4197	57	6	prediction	prediction	NOUN
dem-4197	57	7	)	)	PUNCT
dem-4197	57	8	(	(	PUNCT
dem-4197	57	9	ˆ	ˆ	ADV
dem-4197	57	10	1	1	NUM
dem-4197	57	11	pxi−	pxi−	NOUN
dem-4197	57	12	resulting	result	VERB
dem-4197	57	13	from	from	ADP
dem-4197	57	14	the	the	DET
dem-4197	57	15	choice	choice	NOUN
dem-4197	57	16	of	of	ADP
dem-4197	57	17	model	model	NOUN
dem-4197	57	18	p	p	NOUN
dem-4197	57	19	made	make	VERB
dem-4197	57	20	by	by	ADP
dem-4197	57	21	the	the	DET
dem-4197	57	22	ks	ks	PROPN
dem-4197	57	23	strategy	strategy	NOUN
dem-4197	57	24	based	base	VERB
dem-4197	57	25	on	on	ADP
dem-4197	57	26	the	the	DET
dem-4197	57	27	sub	sub	NOUN
dem-4197	57	28	-	-	NOUN
dem-4197	57	29	sample	sample	ADJ
dem-4197	57	30	121	121	NUM
dem-4197	57	31	,	,	PUNCT
dem-4197	57	32	...	...	PUNCT
dem-4197	57	33	,	,	PUNCT
dem-4197	57	34	,	,	PUNCT
dem-4197	57	35	−ixxx	−ixxx	NOUN
dem-4197	57	36	.	.	PUNCT
dem-4197	58	1	hence	hence	ADV
dem-4197	58	2	the	the	DET
dem-4197	58	3	ape	ape	NOUN
dem-4197	58	4	(	(	PUNCT
dem-4197	58	5	)	)	PUNCT
dem-4197	58	6	ks	ks	NOUN
dem-4197	58	7	measures	measure	VERB
dem-4197	58	8	the	the	DET
dem-4197	58	9	predictive	predictive	ADJ
dem-4197	58	10	performance	performance	NOUN
dem-4197	58	11	when	when	SCONJ
dem-4197	58	12	strategy	strategy	NOUN
dem-4197	58	13	ks	ks	PROPN
dem-4197	58	14	was	be	AUX
dem-4197	58	15	used	use	VERB
dem-4197	58	16	to	to	PART
dem-4197	58	17	form	form	VERB
dem-4197	58	18	predictions	prediction	NOUN
dem-4197	58	19	sequentially	sequentially	ADV
dem-4197	58	20	,	,	PUNCT
dem-4197	58	21	by	by	ADP
dem-4197	58	22	updating	update	VERB
dem-4197	58	23	not	not	PART
dem-4197	58	24	only	only	ADV
dem-4197	58	25	the	the	DET
dem-4197	58	26	estimated	estimate	VERB
dem-4197	58	27	parameters	parameter	NOUN
dem-4197	58	28	in	in	ADP
dem-4197	58	29	each	each	DET
dem-4197	58	30	step	step	NOUN
dem-4197	58	31	but	but	CCONJ
dem-4197	58	32	the	the	DET
dem-4197	58	33	choice	choice	NOUN
dem-4197	58	34	of	of	ADP
dem-4197	58	35	model	model	NOUN
dem-4197	58	36	as	as	ADV
dem-4197	58	37	well	well	ADV
dem-4197	58	38	(	(	PUNCT
dem-4197	58	39	the	the	DET
dem-4197	58	40	meta	meta	ADJ
dem-4197	58	41	-	-	PUNCT
dem-4197	58	42	selection	selection	NOUN
dem-4197	58	43	method	method	NOUN
dem-4197	58	44	computes	compute	VERB
dem-4197	58	45	ape	ape	NOUN
dem-4197	58	46	for	for	ADP
dem-4197	58	47	model	model	NOUN
dem-4197	58	48	selection	selection	NOUN
dem-4197	58	49	method	method	NOUN
dem-4197	58	50	instead	instead	ADV
dem-4197	58	51	of	of	ADP
dem-4197	58	52	models	model	NOUN
dem-4197	58	53	)	)	PUNCT
dem-4197	58	54	.	.	PUNCT
dem-4197	59	1	the	the	DET
dem-4197	59	2	metaselection	metaselection	NOUN
dem-4197	59	3	should	should	AUX
dem-4197	59	4	not	not	PART
dem-4197	59	5	just	just	ADV
dem-4197	59	6	focus	focus	VERB
dem-4197	59	7	on	on	ADP
dem-4197	59	8	the	the	DET
dem-4197	59	9	minimization	minimization	NOUN
dem-4197	59	10	of	of	ADP
dem-4197	59	11	ape	ape	NOUN
dem-4197	59	12	(	(	PUNCT
dem-4197	59	13	)	)	PUNCT
dem-4197	59	14	ks	ks	NOUN
dem-4197	59	15	,	,	PUNCT
dem-4197	59	16	but	but	CCONJ
dem-4197	59	17	also	also	ADV
dem-4197	59	18	on	on	ADP
dem-4197	59	19	its	its	PRON
dem-4197	59	20	evolution	evolution	NOUN
dem-4197	59	21	for	for	ADP
dem-4197	59	22	increasing	increase	VERB
dem-4197	59	23	sample	sample	NOUN
dem-4197	59	24	sizes	size	NOUN
dem-4197	59	25	.	.	PUNCT
dem-4197	60	1	3	3	X
dem-4197	60	2	.	.	X
dem-4197	60	3	empirical	empirical	ADJ
dem-4197	60	4	example	example	NOUN
dem-4197	60	5	to	to	PART
dem-4197	60	6	present	present	VERB
dem-4197	60	7	the	the	DET
dem-4197	60	8	predictive	predictive	ADJ
dem-4197	60	9	performance	performance	NOUN
dem-4197	60	10	of	of	ADP
dem-4197	60	11	accumulated	accumulate	VERB
dem-4197	60	12	one	one	NUM
dem-4197	60	13	-	-	PUNCT
dem-4197	60	14	step	step	NOUN
dem-4197	60	15	-	-	PUNCT
dem-4197	60	16	ahead	ahead	NOUN
dem-4197	60	17	prediction	prediction	NOUN
dem-4197	60	18	error	error	NOUN
dem-4197	60	19	(	(	PUNCT
dem-4197	60	20	ape	ape	NOUN
dem-4197	60	21	)	)	PUNCT
dem-4197	60	22	in	in	ADP
dem-4197	60	23	model	model	NOUN
dem-4197	60	24	selection	selection	NOUN
dem-4197	60	25	and	and	CCONJ
dem-4197	60	26	the	the	DET
dem-4197	60	27	choice	choice	NOUN
dem-4197	60	28	of	of	ADP
dem-4197	60	29	model	model	NOUN
dem-4197	60	30	selection	selection	NOUN
dem-4197	60	31	strategy	strategy	NOUN
dem-4197	60	32	the	the	DET
dem-4197	60	33	data	datum	NOUN
dem-4197	60	34	from	from	ADP
dem-4197	60	35	maddison	maddison	PROPN
dem-4197	60	36	base4	base4	PROPN
dem-4197	60	37	have	have	AUX
dem-4197	60	38	been	be	AUX
dem-4197	60	39	taken	take	VERB
dem-4197	60	40	.	.	PUNCT
dem-4197	61	1	it	it	PRON
dem-4197	61	2	includes	include	VERB
dem-4197	61	3	annual	annual	ADJ
dem-4197	61	4	time	time	NOUN
dem-4197	61	5	series	series	NOUN
dem-4197	61	6	of	of	ADP
dem-4197	61	7	gdp	gdp	NOUN
dem-4197	61	8	for	for	ADP
dem-4197	61	9	36	36	NUM
dem-4197	61	10	countries	country	NOUN
dem-4197	61	11	.	.	PUNCT
dem-4197	62	1	in	in	ADP
dem-4197	62	2	the	the	DET
dem-4197	62	3	study	study	NOUN
dem-4197	62	4	,	,	PUNCT
dem-4197	62	5	as	as	ADP
dem-4197	62	6	an	an	DET
dem-4197	62	7	example	example	NOUN
dem-4197	62	8	,	,	PUNCT
dem-4197	62	9	the	the	DET
dem-4197	62	10	gdp	gdp	NOUN
dem-4197	62	11	for	for	ADP
dem-4197	62	12	france	france	PROPN
dem-4197	62	13	(	(	PUNCT
dem-4197	62	14	1947	1947	NUM
dem-4197	62	15	-	-	SYM
dem-4197	62	16	2003	2003	NUM
dem-4197	62	17	)	)	PUNCT
dem-4197	62	18	and	and	CCONJ
dem-4197	62	19	poland	poland	PROPN
dem-4197	62	20	(	(	PUNCT
dem-4197	62	21	1952	1952	NUM
dem-4197	62	22	-	-	SYM
dem-4197	62	23	2003	2003	NUM
dem-4197	62	24	)	)	PUNCT
dem-4197	62	25	have	have	AUX
dem-4197	62	26	been	be	AUX
dem-4197	62	27	used	use	VERB
dem-4197	62	28	.	.	PUNCT
dem-4197	63	1	data	datum	NOUN
dem-4197	63	2	are	be	AUX
dem-4197	63	3	expressed	express	VERB
dem-4197	63	4	in	in	ADP
dem-4197	63	5	millions	million	NOUN
dem-4197	63	6	of	of	ADP
dem-4197	63	7	us	we	PRON
dem-4197	63	8	dollars	dollar	NOUN
dem-4197	63	9	in	in	ADP
dem-4197	63	10	constant	constant	ADJ
dem-4197	63	11	prices	price	NOUN
dem-4197	63	12	from	from	ADP
dem-4197	63	13	1990	1990	NUM
dem-4197	63	14	having	having	AUX
dem-4197	63	15	taken	take	VERB
dem-4197	63	16	into	into	ADP
dem-4197	63	17	account	account	NOUN
dem-4197	63	18	purchasing	purchasing	NOUN
dem-4197	63	19	power	power	NOUN
dem-4197	63	20	parity	parity	NOUN
dem-4197	63	21	.	.	PUNCT
dem-4197	64	1	the	the	DET
dem-4197	64	2	essential	essential	ADJ
dem-4197	64	3	point	point	NOUN
dem-4197	64	4	in	in	ADP
dem-4197	64	5	model	model	NOUN
dem-4197	64	6	selection	selection	NOUN
dem-4197	64	7	is	be	AUX
dem-4197	64	8	the	the	DET
dem-4197	64	9	identification	identification	NOUN
dem-4197	64	10	of	of	ADP
dem-4197	64	11	initial	initial	ADJ
dem-4197	64	12	set	set	NOUN
dem-4197	64	13	of	of	ADP
dem-4197	64	14	candidate	candidate	NOUN
dem-4197	64	15	models	model	NOUN
dem-4197	64	16	.	.	PUNCT
dem-4197	65	1	in	in	ADP
dem-4197	65	2	this	this	DET
dem-4197	65	3	study	study	NOUN
dem-4197	65	4	the	the	DET
dem-4197	65	5	set	set	NOUN
dem-4197	65	6	of	of	ADP
dem-4197	65	7	models	model	NOUN
dem-4197	65	8	consist	consist	VERB
dem-4197	65	9	of	of	ADP
dem-4197	65	10	two	two	NUM
dem-4197	65	11	models	model	NOUN
dem-4197	65	12	:	:	PUNCT
dem-4197	65	13	arima(1,1,0	arima(1,1,0	NUM
dem-4197	65	14	)	)	PUNCT
dem-4197	65	15	and	and	CCONJ
dem-4197	65	16	linear	linear	ADJ
dem-4197	65	17	trend	trend	NOUN
dem-4197	65	18	with	with	ADP
dem-4197	65	19	autoregression	autoregression	NOUN
dem-4197	65	20	of	of	ADP
dem-4197	65	21	second	second	ADJ
dem-4197	65	22	order	order	NOUN
dem-4197	65	23	(	(	PUNCT
dem-4197	65	24	t+ar(2	t+ar(2	NOUN
dem-4197	65	25	)	)	PUNCT
dem-4197	65	26	)	)	PUNCT
dem-4197	65	27	.	.	PUNCT
dem-4197	66	1	this	this	DET
dem-4197	66	2	choice	choice	NOUN
dem-4197	66	3	of	of	ADP
dem-4197	66	4	models	model	NOUN
dem-4197	66	5	is	be	AUX
dem-4197	66	6	justified	justify	VERB
dem-4197	66	7	by	by	ADP
dem-4197	66	8	the	the	DET
dem-4197	66	9	traditional	traditional	ADJ
dem-4197	66	10	approach	approach	NOUN
dem-4197	66	11	to	to	ADP
dem-4197	66	12	the	the	DET
dem-4197	66	13	analysis	analysis	NOUN
dem-4197	66	14	of	of	ADP
dem-4197	66	15	gdp	gdp	NOUN
dem-4197	66	16	fluctuations	fluctuation	NOUN
dem-4197	66	17	.	.	PUNCT
dem-4197	67	1	during	during	ADP
dem-4197	67	2	last	last	ADJ
dem-4197	67	3	thirty	thirty	NUM
dem-4197	67	4	years	year	NOUN
dem-4197	67	5	this	this	DET
dem-4197	67	6	analysis	analysis	NOUN
dem-4197	67	7	focused	focus	VERB
dem-4197	67	8	on	on	ADP
dem-4197	67	9	either	either	CCONJ
dem-4197	67	10	the	the	DET
dem-4197	67	11	verification	verification	NOUN
dem-4197	67	12	of	of	ADP
dem-4197	67	13	unit	unit	NOUN
dem-4197	67	14	root	root	NOUN
dem-4197	67	15	hypothesis	hypothesis	NOUN
dem-4197	67	16	(	(	PUNCT
dem-4197	67	17	what	what	PRON
dem-4197	67	18	means	mean	VERB
dem-4197	67	19	that	that	SCONJ
dem-4197	67	20	gdp	gdp	NOUN
dem-4197	67	21	is	be	AUX
dem-4197	67	22	nonstationary	nonstationary	ADJ
dem-4197	67	23	in	in	ADP
dem-4197	67	24	variance	variance	NOUN
dem-4197	67	25	or	or	CCONJ
dem-4197	67	26	has	have	VERB
dem-4197	67	27	stochastic	stochastic	ADJ
dem-4197	67	28	trend	trend	NOUN
dem-4197	67	29	and	and	CCONJ
dem-4197	67	30	the	the	DET
dem-4197	67	31	arima	arima	PROPN
dem-4197	67	32	model	model	NOUN
dem-4197	67	33	is	be	AUX
dem-4197	67	34	more	more	ADV
dem-4197	67	35	appropriate	appropriate	ADJ
dem-4197	67	36	)	)	PUNCT
dem-4197	67	37	or	or	CCONJ
dem-4197	67	38	testing	test	VERB
dem-4197	67	39	hypothesis	hypothesis	NOUN
dem-4197	67	40	of	of	ADP
dem-4197	67	41	stationary	stationary	ADJ
dem-4197	67	42	deviations	deviation	NOUN
dem-4197	67	43	around	around	ADP
dem-4197	67	44	deterministic	deterministic	ADJ
dem-4197	67	45	trend	trend	NOUN
dem-4197	67	46	(	(	PUNCT
dem-4197	67	47	what	what	PRON
dem-4197	67	48	4	4	NUM
dem-4197	67	49	in	in	ADP
dem-4197	67	50	the	the	DET
dem-4197	67	51	paper	paper	NOUN
dem-4197	67	52	the	the	DET
dem-4197	67	53	updated	update	VERB
dem-4197	67	54	maddison	maddison	NOUN
dem-4197	67	55	base	base	NOUN
dem-4197	67	56	is	be	AUX
dem-4197	67	57	used	use	VERB
dem-4197	67	58	which	which	PRON
dem-4197	67	59	is	be	AUX
dem-4197	67	60	available	available	ADJ
dem-4197	67	61	on	on	ADP
dem-4197	67	62	website	website	NOUN
dem-4197	67	63	www.ggdc.net	www.ggdc.net	PROPN
dem-4197	67	64	,	,	PUNCT
dem-4197	67	65	see	see	VERB
dem-4197	67	66	also	also	ADV
dem-4197	67	67	:	:	PUNCT
dem-4197	67	68	maddison	maddison	PROPN
dem-4197	67	69	(	(	PUNCT
dem-4197	67	70	2001	2001	NUM
dem-4197	67	71	)	)	PUNCT
dem-4197	67	72	.	.	PUNCT
dem-4197	68	1	choosing	choose	VERB
dem-4197	68	2	a	a	DET
dem-4197	68	3	model	model	NOUN
dem-4197	68	4	and	and	CCONJ
dem-4197	68	5	model	model	NOUN
dem-4197	68	6	selection	selection	NOUN
dem-4197	68	7	strategy	strategy	NOUN
dem-4197	68	8	by	by	ADP
dem-4197	68	9	…	…	SYM
dem-4197	68	10	111	111	NUM
dem-4197	68	11	means	mean	VERB
dem-4197	68	12	that	that	SCONJ
dem-4197	68	13	gdp	gdp	NOUN
dem-4197	68	14	is	be	AUX
dem-4197	68	15	nonstationary	nonstationary	ADJ
dem-4197	68	16	in	in	ADP
dem-4197	68	17	mean	mean	NOUN
dem-4197	68	18	and	and	CCONJ
dem-4197	68	19	model	model	NOUN
dem-4197	68	20	with	with	ADP
dem-4197	68	21	deterministic	deterministic	ADJ
dem-4197	68	22	trend	trend	NOUN
dem-4197	68	23	is	be	AUX
dem-4197	68	24	more	more	ADV
dem-4197	68	25	appropriate	appropriate	ADJ
dem-4197	68	26	)	)	PUNCT
dem-4197	68	27	.	.	PUNCT
dem-4197	69	1	in	in	ADP
dem-4197	69	2	spite	spite	NOUN
dem-4197	69	3	of	of	ADP
dem-4197	69	4	huge	huge	ADJ
dem-4197	69	5	literature	literature	NOUN
dem-4197	69	6	devoted	devote	VERB
dem-4197	69	7	to	to	ADP
dem-4197	69	8	the	the	DET
dem-4197	69	9	distinguishing	distinguishing	NOUN
dem-4197	69	10	of	of	ADP
dem-4197	69	11	these	these	DET
dem-4197	69	12	alternative	alternative	ADJ
dem-4197	69	13	hypothesizes	hypothesize	NOUN
dem-4197	69	14	,	,	PUNCT
dem-4197	69	15	this	this	DET
dem-4197	69	16	dispute	dispute	NOUN
dem-4197	69	17	has	have	AUX
dem-4197	69	18	not	not	PART
dem-4197	69	19	be	be	AUX
dem-4197	69	20	settled	settle	VERB
dem-4197	69	21	upon	upon	SCONJ
dem-4197	69	22	yet5	yet5	NOUN
dem-4197	69	23	.	.	PUNCT
dem-4197	70	1	model	model	PROPN
dem-4197	70	2	arima(1,1,0	arima(1,1,0	PROPN
dem-4197	70	3	)	)	PUNCT
dem-4197	70	4	was	be	AUX
dem-4197	70	5	selected	select	VERB
dem-4197	70	6	from	from	ADP
dem-4197	70	7	different	different	ADJ
dem-4197	70	8	specification	specification	NOUN
dem-4197	70	9	of	of	ADP
dem-4197	70	10	arima(p	arima(p	PROPN
dem-4197	70	11	,	,	PUNCT
dem-4197	70	12	d	d	PROPN
dem-4197	70	13	,	,	PUNCT
dem-4197	70	14	q	q	NOUN
dem-4197	70	15	)	)	PUNCT
dem-4197	70	16	model	model	NOUN
dem-4197	70	17	,	,	PUNCT
dem-4197	70	18	for	for	ADP
dem-4197	70	19	p	p	PRON
dem-4197	70	20	,	,	PUNCT
dem-4197	70	21	q	q	X
dem-4197	70	22	=	=	SYM
dem-4197	70	23	0	0	NUM
dem-4197	70	24	,	,	PUNCT
dem-4197	70	25	1	1	NUM
dem-4197	70	26	,	,	PUNCT
dem-4197	70	27	2	2	NUM
dem-4197	70	28	,	,	PUNCT
dem-4197	70	29	d	d	NOUN
dem-4197	70	30	=	=	SYM
dem-4197	70	31	0	0	NUM
dem-4197	70	32	,	,	PUNCT
dem-4197	70	33	1	1	NUM
dem-4197	70	34	,	,	PUNCT
dem-4197	70	35	by	by	ADP
dem-4197	70	36	the	the	DET
dem-4197	70	37	means	mean	NOUN
dem-4197	70	38	of	of	ADP
dem-4197	70	39	aic	aic	PROPN
dem-4197	70	40	differences6	differences6	PROPN
dem-4197	70	41	,	,	PUNCT
dem-4197	70	42	i.e.	i.e.	X
dem-4197	70	43	minaic	minaic	PROPN
dem-4197	70	44	aici	aici	PROPN
dem-4197	70	45	iδ	iδ	NOUN
dem-4197	70	46	=	=	SYM
dem-4197	70	47	−	−	PROPN
dem-4197	70	48	,	,	PUNCT
dem-4197	70	49	where	where	SCONJ
dem-4197	70	50	aici	aici	PROPN
dem-4197	70	51	denotes	denote	VERB
dem-4197	70	52	the	the	DET
dem-4197	70	53	aic	aic	PROPN
dem-4197	70	54	value	value	NOUN
dem-4197	70	55	for	for	ADP
dem-4197	70	56	i	i	PROPN
dem-4197	70	57	-	-	PUNCT
dem-4197	70	58	th	th	X
dem-4197	70	59	model	model	NOUN
dem-4197	70	60	,	,	PUNCT
dem-4197	70	61	minaic	minaic	ADV
dem-4197	70	62	–	–	PUNCT
dem-4197	70	63	aic	aic	PROPN
dem-4197	70	64	value	value	NOUN
dem-4197	70	65	for	for	ADP
dem-4197	70	66	the	the	DET
dem-4197	70	67	best	good	ADJ
dem-4197	70	68	model	model	NOUN
dem-4197	70	69	.	.	PUNCT
dem-4197	71	1	models	model	NOUN
dem-4197	71	2	were	be	AUX
dem-4197	71	3	estimated	estimate	VERB
dem-4197	71	4	on	on	ADP
dem-4197	71	5	the	the	DET
dem-4197	71	6	same	same	ADJ
dem-4197	71	7	sample	sample	NOUN
dem-4197	71	8	length	length	NOUN
dem-4197	71	9	,	,	PUNCT
dem-4197	71	10	i.e.	i.e.	X
dem-4197	71	11	1947	1947	NUM
dem-4197	71	12	-	-	SYM
dem-4197	71	13	2000	2000	NUM
dem-4197	71	14	(	(	PUNCT
dem-4197	71	15	gdp	gdp	NOUN
dem-4197	71	16	in	in	ADP
dem-4197	71	17	france	france	PROPN
dem-4197	71	18	)	)	PUNCT
dem-4197	71	19	and	and	CCONJ
dem-4197	71	20	1952	1952	NUM
dem-4197	71	21	-	-	SYM
dem-4197	71	22	200	200	NUM
dem-4197	71	23	(	(	PUNCT
dem-4197	71	24	gdp	gdp	NOUN
dem-4197	71	25	in	in	ADP
dem-4197	71	26	poland	poland	PROPN
dem-4197	71	27	)	)	PUNCT
dem-4197	71	28	.	.	PUNCT
dem-4197	72	1	the	the	DET
dem-4197	72	2	larger	large	ADJ
dem-4197	72	3	iδ	iδ	NOUN
dem-4197	72	4	is	be	AUX
dem-4197	72	5	,	,	PUNCT
dem-4197	72	6	the	the	PRON
dem-4197	72	7	less	less	ADV
dem-4197	72	8	plausible	plausible	ADJ
dem-4197	72	9	the	the	DET
dem-4197	72	10	fitted	fit	VERB
dem-4197	72	11	model	model	NOUN
dem-4197	72	12	is	be	AUX
dem-4197	72	13	the	the	DET
dem-4197	72	14	good	good	ADJ
dem-4197	72	15	model	model	NOUN
dem-4197	72	16	in	in	ADP
dem-4197	72	17	the	the	DET
dem-4197	72	18	k	k	PROPN
dem-4197	72	19	-	-	PUNCT
dem-4197	72	20	l	l	NOUN
dem-4197	72	21	information	information	NOUN
dem-4197	72	22	sense7	sense7	PROPN
dem-4197	72	23	,	,	PUNCT
dem-4197	72	24	given	give	VERB
dem-4197	72	25	the	the	DET
dem-4197	72	26	data	datum	NOUN
dem-4197	72	27	.	.	PUNCT
dem-4197	73	1	in	in	ADP
dem-4197	73	2	practice	practice	NOUN
dem-4197	73	3	,	,	PUNCT
dem-4197	73	4	the	the	DET
dem-4197	73	5	models	model	NOUN
dem-4197	73	6	with	with	ADP
dem-4197	73	7	4	4	NUM
dem-4197	73	8	<	<	NOUN
dem-4197	73	9	δ	δ	NOUN
dem-4197	73	10	i	i	PRON
dem-4197	73	11	are	be	AUX
dem-4197	73	12	accepted	accept	VERB
dem-4197	73	13	(	(	PUNCT
dem-4197	73	14	burnham	burnham	PROPN
dem-4197	73	15	,	,	PUNCT
dem-4197	73	16	anderson	anderson	PROPN
dem-4197	73	17	,	,	PUNCT
dem-4197	73	18	2002	2002	NUM
dem-4197	73	19	)	)	PUNCT
dem-4197	73	20	.	.	PUNCT
dem-4197	74	1	having	have	VERB
dem-4197	74	2	iδ	iδ	VERB
dem-4197	74	3	the	the	DET
dem-4197	74	4	akaike	akaike	ADJ
dem-4197	74	5	weights	weight	NOUN
dem-4197	74	6	(	(	PUNCT
dem-4197	74	7	evidence	evidence	NOUN
dem-4197	74	8	ratios	ratio	NOUN
dem-4197	74	9	)	)	PUNCT
dem-4197	74	10	can	can	AUX
dem-4197	74	11	be	be	AUX
dem-4197	74	12	obtained	obtain	VERB
dem-4197	74	13	which	which	PRON
dem-4197	74	14	are	be	AUX
dem-4197	74	15	useful	useful	ADJ
dem-4197	74	16	in	in	ADP
dem-4197	74	17	calculating	calculate	VERB
dem-4197	74	18	the	the	DET
dem-4197	74	19	relative	relative	ADJ
dem-4197	74	20	evidence	evidence	NOUN
dem-4197	74	21	for	for	ADP
dem-4197	74	22	the	the	DET
dem-4197	74	23	best	good	ADJ
dem-4197	74	24	model	model	NOUN
dem-4197	74	25	(	(	PUNCT
dem-4197	74	26	with	with	ADP
dem-4197	74	27	the	the	DET
dem-4197	74	28	biggest	big	ADJ
dem-4197	74	29	weight	weight	NOUN
dem-4197	74	30	)	)	PUNCT
dem-4197	74	31	versus	versus	ADP
dem-4197	74	32	the	the	DET
dem-4197	74	33	rest	rest	NOUN
dem-4197	74	34	of	of	ADP
dem-4197	74	35	r	r	NOUN
dem-4197	74	36	-	-	PUNCT
dem-4197	74	37	models	model	NOUN
dem-4197	74	38	in	in	ADP
dem-4197	74	39	the	the	DET
dem-4197	74	40	set	set	NOUN
dem-4197	74	41	.	.	PUNCT
dem-4197	75	1	the	the	DET
dem-4197	75	2	akaike	akaike	ADJ
dem-4197	75	3	weights	weight	NOUN
dem-4197	75	4	are	be	AUX
dem-4197	75	5	given	give	VERB
dem-4197	75	6	by	by	ADP
dem-4197	75	7	(	(	PUNCT
dem-4197	75	8	burnham	burnham	PROPN
dem-4197	75	9	,	,	PUNCT
dem-4197	75	10	anderson	anderson	PROPN
dem-4197	75	11	,	,	PUNCT
dem-4197	75	12	2002	2002	NUM
dem-4197	75	13	;	;	PUNCT
dem-4197	75	14	piłatowska	piłatowska	NOUN
dem-4197	75	15	,	,	PUNCT
dem-4197	75	16	2009	2009	NUM
dem-4197	75	17	,	,	PUNCT
dem-4197	75	18	2010	2010	NUM
dem-4197	75	19	):	):	PUNCT
dem-4197	75	20	,	,	PUNCT
dem-4197	75	21	)	)	PUNCT
dem-4197	75	22	5,0exp(/)5,0exp	5,0exp(/)5,0exp	NUM
dem-4197	75	23	(	(	PUNCT
dem-4197	75	24	1∑	1∑	NUM
dem-4197	75	25	=	=	SYM
dem-4197	75	26	δ−δ−=	δ−δ−=	NOUN
dem-4197	75	27	r	r	NOUN
dem-4197	75	28	r	r	NOUN
dem-4197	75	29	riiw	riiw	NOUN
dem-4197	75	30	∑	∑	PUNCT
dem-4197	75	31	=	=	PUNCT
dem-4197	76	1	=	=	PUNCT
dem-4197	76	2	r	r	NOUN
dem-4197	76	3	i	i	PRON
dem-4197	76	4	iw	iw	VERB
dem-4197	76	5	1	1	NUM
dem-4197	76	6	1	1	NUM
dem-4197	76	7	.	.	PUNCT
dem-4197	77	1	for	for	ADP
dem-4197	77	2	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	77	3	)	)	PUNCT
dem-4197	77	4	the	the	DET
dem-4197	77	5	difference	difference	NOUN
dem-4197	77	6	iδ	iδ	INTJ
dem-4197	77	7	was	be	AUX
dem-4197	77	8	equal	equal	ADJ
dem-4197	77	9	to	to	ADP
dem-4197	77	10	zero	zero	NUM
dem-4197	77	11	,	,	PUNCT
dem-4197	77	12	i.e.	i.e.	X
dem-4197	77	13	this	this	DET
dem-4197	77	14	model	model	NOUN
dem-4197	77	15	was	be	AUX
dem-4197	77	16	the	the	DET
dem-4197	77	17	best	good	ADJ
dem-4197	77	18	,	,	PUNCT
dem-4197	77	19	and	and	CCONJ
dem-4197	77	20	for	for	ADP
dem-4197	77	21	the	the	DET
dem-4197	77	22	rest	rest	NOUN
dem-4197	77	23	of	of	ADP
dem-4197	77	24	models	model	NOUN
dem-4197	77	25	3	3	NUM
dem-4197	77	26	<	<	X
dem-4197	77	27	δ	δ	X
dem-4197	77	28	i	i	PRON
dem-4197	77	29	,	,	PUNCT
dem-4197	77	30	so	so	ADV
dem-4197	77	31	,	,	PUNCT
dem-4197	77	32	they	they	PRON
dem-4197	77	33	were	be	AUX
dem-4197	77	34	plausible	plausible	ADJ
dem-4197	77	35	in	in	ADP
dem-4197	77	36	the	the	DET
dem-4197	77	37	k	k	PROPN
dem-4197	77	38	-	-	PUNCT
dem-4197	77	39	l	l	NOUN
dem-4197	77	40	information	information	NOUN
dem-4197	77	41	sense	sense	NOUN
dem-4197	77	42	.	.	PUNCT
dem-4197	78	1	however	however	ADV
dem-4197	78	2	,	,	PUNCT
dem-4197	78	3	the	the	DET
dem-4197	78	4	support	support	NOUN
dem-4197	78	5	for	for	ADP
dem-4197	78	6	the	the	DET
dem-4197	78	7	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	78	8	)	)	PUNCT
dem-4197	78	9	was	be	AUX
dem-4197	78	10	substantial	substantial	ADJ
dem-4197	78	11	(	(	PUNCT
dem-4197	78	12	i.e.	i.e.	X
dem-4197	78	13	it	it	PRON
dem-4197	78	14	had	have	AUX
dem-4197	78	15	the	the	DET
dem-4197	78	16	dominating	dominating	NOUN
dem-4197	78	17	weight	weight	NOUN
dem-4197	78	18	equal	equal	ADJ
dem-4197	78	19	to	to	ADP
dem-4197	78	20	0.55	0.55	NUM
dem-4197	78	21	)	)	PUNCT
dem-4197	78	22	.	.	PUNCT
dem-4197	79	1	5	5	NUM
dem-4197	79	2	to	to	ADP
dem-4197	79	3	papers	paper	NOUN
dem-4197	79	4	concerning	concern	VERB
dem-4197	79	5	the	the	DET
dem-4197	79	6	choice	choice	NOUN
dem-4197	79	7	of	of	ADP
dem-4197	79	8	stochastic	stochastic	ADJ
dem-4197	79	9	trend	trend	NOUN
dem-4197	79	10	(	(	PUNCT
dem-4197	79	11	nonstationarity	nonstationarity	NOUN
dem-4197	79	12	in	in	ADP
dem-4197	79	13	variance	variance	NOUN
dem-4197	79	14	)	)	PUNCT
dem-4197	79	15	versus	versus	ADP
dem-4197	79	16	deterministic	deterministic	ADJ
dem-4197	79	17	trend	trend	NOUN
dem-4197	79	18	(	(	PUNCT
dem-4197	79	19	nonstationarity	nonstationarity	NOUN
dem-4197	79	20	in	in	ADP
dem-4197	79	21	mean	mean	NOUN
dem-4197	79	22	)	)	PUNCT
dem-4197	79	23	for	for	ADP
dem-4197	79	24	gdp	gdp	PROPN
dem-4197	79	25	series	series	PROPN
dem-4197	79	26	belong	belong	VERB
dem-4197	79	27	among	among	ADP
dem-4197	79	28	others	other	NOUN
dem-4197	79	29	:	:	PUNCT
dem-4197	79	30	nelson	nelson	PROPN
dem-4197	79	31	,	,	PUNCT
dem-4197	79	32	plosser	plosser	NOUN
dem-4197	79	33	,	,	PUNCT
dem-4197	79	34	1982	1982	NUM
dem-4197	79	35	;	;	PUNCT
dem-4197	79	36	stock	stock	NOUN
dem-4197	79	37	,	,	PUNCT
dem-4197	79	38	watson	watson	PROPN
dem-4197	79	39	,	,	PUNCT
dem-4197	79	40	1986	1986	NUM
dem-4197	79	41	;	;	PUNCT
dem-4197	79	42	quah	quah	NOUN
dem-4197	79	43	,	,	PUNCT
dem-4197	79	44	1987	1987	NUM
dem-4197	79	45	;	;	PUNCT
dem-4197	79	46	perron	perron	PROPN
dem-4197	79	47	,	,	PUNCT
dem-4197	79	48	phillips,1987	phillips,1987	PROPN
dem-4197	79	49	;	;	PUNCT
dem-4197	79	50	christiano	christiano	PROPN
dem-4197	79	51	,	,	PUNCT
dem-4197	79	52	eichenbaum,1990	eichenbaum,1990	PROPN
dem-4197	79	53	;	;	PUNCT
dem-4197	79	54	rudebusch,1993	rudebusch,1993	NOUN
dem-4197	79	55	;	;	PUNCT
dem-4197	79	56	diebold	diebold	VERB
dem-4197	79	57	,	,	PUNCT
dem-4197	79	58	senhadji	senhadji	PROPN
dem-4197	79	59	,	,	PUNCT
dem-4197	79	60	1996	1996	NUM
dem-4197	79	61	;	;	PUNCT
dem-4197	79	62	murray	murray	PROPN
dem-4197	79	63	,	,	PUNCT
dem-4197	79	64	nelson	nelson	PROPN
dem-4197	79	65	,	,	PUNCT
dem-4197	79	66	1998	1998	NUM
dem-4197	79	67	.	.	PUNCT
dem-4197	80	1	it	it	PRON
dem-4197	80	2	is	be	AUX
dem-4197	80	3	pointed	point	VERB
dem-4197	80	4	out	out	ADP
dem-4197	80	5	(	(	PUNCT
dem-4197	80	6	(	(	PUNCT
dem-4197	80	7	haubrich	haubrich	X
dem-4197	80	8	,	,	PUNCT
dem-4197	80	9	lo	lo	PROPN
dem-4197	80	10	,	,	PUNCT
dem-4197	80	11	2001	2001	NUM
dem-4197	80	12	)	)	PUNCT
dem-4197	80	13	that	that	SCONJ
dem-4197	80	14	the	the	DET
dem-4197	80	15	reason	reason	NOUN
dem-4197	80	16	of	of	ADP
dem-4197	80	17	no	no	DET
dem-4197	80	18	settlement	settlement	NOUN
dem-4197	80	19	in	in	ADP
dem-4197	80	20	this	this	DET
dem-4197	80	21	dispute	dispute	NOUN
dem-4197	80	22	is	be	AUX
dem-4197	80	23	the	the	DET
dem-4197	80	24	false	false	ADJ
dem-4197	80	25	assumption	assumption	NOUN
dem-4197	80	26	that	that	SCONJ
dem-4197	80	27	one	one	NUM
dem-4197	80	28	of	of	ADP
dem-4197	80	29	the	the	DET
dem-4197	80	30	above	above	ADJ
dem-4197	80	31	hypothesizes	hypothesize	NOUN
dem-4197	80	32	is	be	AUX
dem-4197	80	33	true	true	ADJ
dem-4197	80	34	.	.	PUNCT
dem-4197	81	1	as	as	ADP
dem-4197	81	2	a	a	DET
dem-4197	81	3	result	result	NOUN
dem-4197	81	4	,	,	PUNCT
dem-4197	81	5	only	only	ADV
dem-4197	81	6	the	the	DET
dem-4197	81	7	possibility	possibility	NOUN
dem-4197	81	8	of	of	ADP
dem-4197	81	9	persistent	persistent	ADJ
dem-4197	81	10	fluctuations	fluctuation	NOUN
dem-4197	81	11	(	(	PUNCT
dem-4197	81	12	shocks	shock	NOUN
dem-4197	81	13	to	to	ADP
dem-4197	81	14	gdp	gdp	NOUN
dem-4197	81	15	are	be	AUX
dem-4197	81	16	persistent	persistent	ADJ
dem-4197	81	17	and	and	CCONJ
dem-4197	81	18	there	there	PRON
dem-4197	81	19	is	be	VERB
dem-4197	81	20	no	no	DET
dem-4197	81	21	trend	trend	NOUN
dem-4197	81	22	reversion	reversion	NOUN
dem-4197	81	23	at	at	ADV
dem-4197	81	24	all	all	ADV
dem-4197	81	25	)	)	PUNCT
dem-4197	81	26	or	or	CCONJ
dem-4197	81	27	transitory	transitory	ADJ
dem-4197	81	28	fluctuations	fluctuation	NOUN
dem-4197	81	29	(	(	PUNCT
dem-4197	81	30	shocks	shock	NOUN
dem-4197	81	31	are	be	AUX
dem-4197	81	32	transitory	transitory	ADJ
dem-4197	81	33	and	and	CCONJ
dem-4197	81	34	trend	trend	NOUN
dem-4197	81	35	reversion	reversion	NOUN
dem-4197	81	36	occurs	occur	VERB
dem-4197	81	37	)	)	PUNCT
dem-4197	81	38	is	be	AUX
dem-4197	81	39	taken	take	VERB
dem-4197	81	40	into	into	ADP
dem-4197	81	41	account	account	NOUN
dem-4197	81	42	,	,	PUNCT
dem-4197	81	43	but	but	CCONJ
dem-4197	81	44	the	the	DET
dem-4197	81	45	indirect	indirect	ADJ
dem-4197	81	46	fluctuations	fluctuation	NOUN
dem-4197	81	47	,	,	PUNCT
dem-4197	81	48	i.e.	i.e.	X
dem-4197	81	49	long	long	ADJ
dem-4197	81	50	memory	memory	NOUN
dem-4197	81	51	dependence	dependence	NOUN
dem-4197	81	52	,	,	PUNCT
dem-4197	81	53	are	be	AUX
dem-4197	81	54	omitted	omit	VERB
dem-4197	81	55	,	,	PUNCT
dem-4197	81	56	and	and	CCONJ
dem-4197	81	57	the	the	DET
dem-4197	81	58	latter	latter	ADJ
dem-4197	81	59	can	can	AUX
dem-4197	81	60	be	be	AUX
dem-4197	81	61	described	describe	VERB
dem-4197	81	62	by	by	ADP
dem-4197	81	63	different	different	ADJ
dem-4197	81	64	model	model	NOUN
dem-4197	81	65	than	than	ADP
dem-4197	81	66	previously	previously	ADV
dem-4197	81	67	,	,	PUNCT
dem-4197	81	68	i.e.	i.e.	X
dem-4197	81	69	arfima	arfima	PROPN
dem-4197	81	70	model	model	NOUN
dem-4197	81	71	.	.	PROPN
dem-4197	82	1	6	6	NUM
dem-4197	82	2	in	in	ADP
dem-4197	82	3	the	the	DET
dem-4197	82	4	paper	paper	NOUN
dem-4197	82	5	the	the	DET
dem-4197	82	6	modified	modified	ADJ
dem-4197	82	7	aic	aic	PROPN
dem-4197	82	8	(	(	PUNCT
dem-4197	82	9	second	second	ADJ
dem-4197	82	10	-	-	PUNCT
dem-4197	82	11	order	order	NOUN
dem-4197	82	12	variant	variant	NOUN
dem-4197	82	13	of	of	ADP
dem-4197	82	14	aic	aic	PROPN
dem-4197	82	15	)	)	PUNCT
dem-4197	82	16	was	be	AUX
dem-4197	82	17	applied	apply	VERB
dem-4197	82	18	,	,	PUNCT
dem-4197	82	19	i.e.	i.e.	X
dem-4197	82	20	2	2	NUM
dem-4197	82	21	(	(	PUNCT
dem-4197	82	22	1)aic	1)aic	NUM
dem-4197	82	23	aic	aic	PROPN
dem-4197	82	24	,	,	PUNCT
dem-4197	82	25	1c	1c	NUM
dem-4197	83	1	k	k	PROPN
dem-4197	83	2	k	k	PROPN
dem-4197	83	3	n	n	PROPN
dem-4197	83	4	k	k	PROPN
dem-4197	83	5	+	+	CCONJ
dem-4197	83	6	=	=	SYM
dem-4197	84	1	+	+	NUM
dem-4197	85	1	−	−	PROPN
dem-4197	85	2	−	−	PROPN
dem-4197	85	3	where	where	SCONJ
dem-4197	85	4	aic	aic	PROPN
dem-4197	85	5	2ln	2ln	NOUN
dem-4197	85	6	2	2	NUM
dem-4197	85	7	,	,	PUNCT
dem-4197	85	8	l	l	NOUN
dem-4197	85	9	k=	k=	NOUN
dem-4197	86	1	−	−	PUNCT
dem-4197	87	1	+	+	CCONJ
dem-4197	87	2	k	k	PROPN
dem-4197	87	3	denotes	denote	VERB
dem-4197	87	4	the	the	DET
dem-4197	87	5	number	number	NOUN
dem-4197	87	6	of	of	ADP
dem-4197	87	7	estimated	estimate	VERB
dem-4197	87	8	parameters	parameter	NOUN
dem-4197	87	9	,	,	PUNCT
dem-4197	87	10	n	n	CCONJ
dem-4197	87	11	–	–	PUNCT
dem-4197	87	12	sample	sample	NOUN
dem-4197	87	13	size	size	NOUN
dem-4197	87	14	.	.	PUNCT
dem-4197	88	1	standard	standard	NOUN
dem-4197	88	2	aic	aic	PROPN
dem-4197	88	3	may	may	AUX
dem-4197	88	4	perform	perform	VERB
dem-4197	88	5	poorly	poorly	ADV
dem-4197	88	6	(	(	PUNCT
dem-4197	88	7	may	may	AUX
dem-4197	88	8	indicate	indicate	VERB
dem-4197	88	9	not	not	PART
dem-4197	88	10	parsimonious	parsimonious	ADJ
dem-4197	88	11	model	model	NOUN
dem-4197	88	12	)	)	PUNCT
dem-4197	88	13	,	,	PUNCT
dem-4197	88	14	if	if	SCONJ
dem-4197	88	15	there	there	PRON
dem-4197	88	16	are	be	VERB
dem-4197	88	17	too	too	ADV
dem-4197	88	18	many	many	ADJ
dem-4197	88	19	parameter	parameter	NOUN
dem-4197	88	20	in	in	ADP
dem-4197	88	21	relation	relation	NOUN
dem-4197	88	22	of	of	ADP
dem-4197	88	23	the	the	DET
dem-4197	88	24	size	size	NOUN
dem-4197	88	25	of	of	ADP
dem-4197	88	26	the	the	DET
dem-4197	88	27	sample	sample	NOUN
dem-4197	88	28	.	.	PUNCT
dem-4197	89	1	the	the	DET
dem-4197	89	2	use	use	NOUN
dem-4197	89	3	of	of	ADP
dem-4197	89	4	aicc	aicc	NOUN
dem-4197	89	5	is	be	AUX
dem-4197	89	6	advocated	advocate	VERB
dem-4197	89	7	when	when	SCONJ
dem-4197	89	8	the	the	DET
dem-4197	89	9	ratio	ratio	NOUN
dem-4197	89	10	kn	kn	PROPN
dem-4197	89	11	/	/	PUNCT
dem-4197	89	12	is	be	AUX
dem-4197	89	13	small	small	ADJ
dem-4197	89	14	,	,	PUNCT
dem-4197	89	15	say	say	VERB
dem-4197	89	16	<	<	X
dem-4197	89	17	40	40	NUM
dem-4197	89	18	,	,	PUNCT
dem-4197	89	19	(	(	PUNCT
dem-4197	89	20	sugiura	sugiura	NOUN
dem-4197	89	21	,	,	PUNCT
dem-4197	89	22	1978	1978	NUM
dem-4197	89	23	)	)	PUNCT
dem-4197	89	24	.	.	PUNCT
dem-4197	90	1	for	for	ADP
dem-4197	90	2	the	the	DET
dem-4197	90	3	purposes	purpose	NOUN
dem-4197	90	4	of	of	ADP
dem-4197	90	5	presentation	presentation	NOUN
dem-4197	90	6	further	far	ADV
dem-4197	90	7	only	only	ADV
dem-4197	90	8	‘	'	PUNCT
dem-4197	90	9	aic	aic	PROPN
dem-4197	90	10	’	'	PUNCT
dem-4197	90	11	notation	notation	NOUN
dem-4197	90	12	is	be	AUX
dem-4197	90	13	used	use	VERB
dem-4197	90	14	.	.	PUNCT
dem-4197	91	1	7	7	NUM
dem-4197	91	2	the	the	DET
dem-4197	91	3	kullback	kullback	NOUN
dem-4197	91	4	-	-	PUNCT
dem-4197	91	5	leibler	leibler	NOUN
dem-4197	91	6	(	(	PUNCT
dem-4197	91	7	k	k	NOUN
dem-4197	91	8	-	-	PUNCT
dem-4197	91	9	l	l	NOUN
dem-4197	91	10	)	)	PUNCT
dem-4197	91	11	distance	distance	NOUN
dem-4197	91	12	or	or	CCONJ
dem-4197	91	13	information	information	NOUN
dem-4197	91	14	is	be	AUX
dem-4197	91	15	the	the	DET
dem-4197	91	16	measure	measure	NOUN
dem-4197	91	17	of	of	ADP
dem-4197	91	18	discrepancy	discrepancy	NOUN
dem-4197	91	19	between	between	ADP
dem-4197	91	20	true	true	ADJ
dem-4197	91	21	(	(	PUNCT
dem-4197	91	22	but	but	CCONJ
dem-4197	91	23	unknown	unknown	ADJ
dem-4197	91	24	)	)	PUNCT
dem-4197	91	25	model	model	NOUN
dem-4197	91	26	and	and	CCONJ
dem-4197	91	27	fitted	fit	VERB
dem-4197	91	28	model	model	NOUN
dem-4197	91	29	.	.	PUNCT
dem-4197	92	1	akaike	akaike	ADJ
dem-4197	92	2	(	(	PUNCT
dem-4197	92	3	1973	1973	NUM
dem-4197	92	4	)	)	PUNCT
dem-4197	92	5	showed	show	VERB
dem-4197	92	6	that	that	SCONJ
dem-4197	92	7	the	the	DET
dem-4197	92	8	choice	choice	NOUN
dem-4197	92	9	of	of	ADP
dem-4197	92	10	model	model	NOUN
dem-4197	92	11	with	with	ADP
dem-4197	92	12	minimum	minimum	ADJ
dem-4197	92	13	relative	relative	ADJ
dem-4197	92	14	expected	expect	VERB
dem-4197	92	15	information	information	NOUN
dem-4197	92	16	loss	loss	NOUN
dem-4197	92	17	(	(	PUNCT
dem-4197	92	18	i.e.	i.e.	X
dem-4197	92	19	model	model	NOUN
dem-4197	92	20	with	with	ADP
dem-4197	92	21	minimum	minimum	ADJ
dem-4197	92	22	k	k	ADJ
dem-4197	92	23	-	-	ADJ
dem-4197	92	24	l	l	NOUN
dem-4197	92	25	information	information	NOUN
dem-4197	92	26	)	)	PUNCT
dem-4197	92	27	is	be	AUX
dem-4197	92	28	asymptotically	asymptotically	ADV
dem-4197	92	29	equivalent	equivalent	ADJ
dem-4197	92	30	to	to	ADP
dem-4197	92	31	the	the	DET
dem-4197	92	32	choice	choice	NOUN
dem-4197	92	33	of	of	ADP
dem-4197	92	34	model	model	NOUN
dem-4197	92	35	with	with	ADP
dem-4197	92	36	minimum	minimum	NOUN
dem-4197	92	37	aic	aic	PROPN
dem-4197	92	38	.	.	PUNCT
dem-4197	93	1	mariola	mariola	PROPN
dem-4197	93	2	piłatowska	piłatowska	PROPN
dem-4197	93	3	112	112	NUM
dem-4197	93	4	in	in	ADP
dem-4197	93	5	similar	similar	ADJ
dem-4197	93	6	way	way	NOUN
dem-4197	93	7	the	the	DET
dem-4197	93	8	specification	specification	NOUN
dem-4197	93	9	of	of	ADP
dem-4197	93	10	an	an	DET
dem-4197	93	11	alternative	alternative	ADJ
dem-4197	93	12	model	model	NOUN
dem-4197	93	13	to	to	ADP
dem-4197	93	14	arima	arima	PROPN
dem-4197	93	15	was	be	AUX
dem-4197	93	16	chosen	choose	VERB
dem-4197	93	17	,	,	PUNCT
dem-4197	93	18	i.e.	i.e.	X
dem-4197	93	19	model	model	NOUN
dem-4197	93	20	of	of	ADP
dem-4197	93	21	linear	linear	ADJ
dem-4197	93	22	trend	trend	NOUN
dem-4197	93	23	with	with	ADP
dem-4197	93	24	autoregression	autoregression	NOUN
dem-4197	93	25	of	of	ADP
dem-4197	93	26	second	second	ADJ
dem-4197	93	27	order	order	NOUN
dem-4197	93	28	t+ar(2	t+ar(2	NOUN
dem-4197	93	29	)	)	PUNCT
dem-4197	93	30	,	,	PUNCT
dem-4197	93	31	where	where	SCONJ
dem-4197	93	32	maximum	maximum	ADJ
dem-4197	93	33	lag	lag	NOUN
dem-4197	93	34	length	length	NOUN
dem-4197	93	35	was	be	AUX
dem-4197	93	36	equal	equal	ADJ
dem-4197	93	37	to	to	ADP
dem-4197	93	38	3	3	NUM
dem-4197	93	39	.	.	PUNCT
dem-4197	93	40	to	to	PART
dem-4197	93	41	make	make	VERB
dem-4197	93	42	a	a	DET
dem-4197	93	43	choice	choice	NOUN
dem-4197	93	44	between	between	ADP
dem-4197	93	45	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	93	46	)	)	PUNCT
dem-4197	93	47	model	model	NOUN
dem-4197	93	48	and	and	CCONJ
dem-4197	93	49	t+ar(2	t+ar(2	PROPN
dem-4197	93	50	)	)	PUNCT
dem-4197	93	51	model	model	NOUN
dem-4197	93	52	three	three	NUM
dem-4197	93	53	model	model	NOUN
dem-4197	93	54	selection	selection	NOUN
dem-4197	93	55	strategies	strategy	NOUN
dem-4197	93	56	were	be	AUX
dem-4197	93	57	used	use	VERB
dem-4197	93	58	:	:	PUNCT
dem-4197	93	59	information	information	NOUN
dem-4197	93	60	criteria	criterion	NOUN
dem-4197	93	61	:	:	PUNCT
dem-4197	93	62	aic	aic	PROPN
dem-4197	93	63	and	and	CCONJ
dem-4197	93	64	bic	bic	PROPN
dem-4197	93	65	,	,	PUNCT
dem-4197	93	66	and	and	CCONJ
dem-4197	93	67	also	also	ADV
dem-4197	93	68	accumulated	accumulate	VERB
dem-4197	93	69	one	one	NUM
dem-4197	93	70	-	-	PUNCT
dem-4197	93	71	step	step	NOUN
dem-4197	93	72	-	-	PUNCT
dem-4197	93	73	ahead	ahead	NOUN
dem-4197	93	74	prediction	prediction	NOUN
dem-4197	93	75	error	error	NOUN
dem-4197	93	76	(	(	PUNCT
dem-4197	93	77	ape	ape	NOUN
dem-4197	93	78	)	)	PUNCT
dem-4197	93	79	.	.	PUNCT
dem-4197	94	1	in	in	ADP
dem-4197	94	2	the	the	DET
dem-4197	94	3	latter	latter	ADJ
dem-4197	94	4	case	case	NOUN
dem-4197	94	5	the	the	DET
dem-4197	94	6	squared	square	VERB
dem-4197	94	7	error	error	NOUN
dem-4197	94	8	(	(	PUNCT
dem-4197	94	9	ape_se	ape_se	NUM
dem-4197	94	10	)	)	PUNCT
dem-4197	94	11	and	and	CCONJ
dem-4197	94	12	absolute	absolute	ADJ
dem-4197	94	13	error	error	NOUN
dem-4197	94	14	(	(	PUNCT
dem-4197	94	15	ape_ae	ape_ae	NUM
dem-4197	94	16	)	)	PUNCT
dem-4197	94	17	were	be	AUX
dem-4197	94	18	taken	take	VERB
dem-4197	94	19	as	as	ADP
dem-4197	94	20	a	a	DET
dem-4197	94	21	loss	loss	NOUN
dem-4197	94	22	function8	function8	NOUN
dem-4197	94	23	.	.	PUNCT
dem-4197	95	1	the	the	DET
dem-4197	95	2	estimation9	estimation9	PROPN
dem-4197	95	3	of	of	ADP
dem-4197	95	4	models	model	NOUN
dem-4197	95	5	has	have	AUX
dem-4197	95	6	been	be	AUX
dem-4197	95	7	starting	start	VERB
dem-4197	95	8	with	with	ADP
dem-4197	95	9	minimum	minimum	ADJ
dem-4197	95	10	sample	sample	NOUN
dem-4197	95	11	size	size	NOUN
dem-4197	95	12	equal	equal	ADJ
dem-4197	95	13	to	to	ADP
dem-4197	95	14	11	11	NUM
dem-4197	95	15	observations	observation	NOUN
dem-4197	95	16	,	,	PUNCT
dem-4197	95	17	then	then	ADV
dem-4197	95	18	the	the	DET
dem-4197	95	19	sample	sample	NOUN
dem-4197	95	20	size	size	NOUN
dem-4197	95	21	has	have	AUX
dem-4197	95	22	been	be	AUX
dem-4197	95	23	increased	increase	VERB
dem-4197	95	24	by	by	ADP
dem-4197	95	25	one	one	NUM
dem-4197	95	26	until	until	ADP
dem-4197	95	27	n	n	PROPN
dem-4197	95	28	(	(	PUNCT
dem-4197	95	29	until	until	ADP
dem-4197	95	30	the	the	DET
dem-4197	95	31	year	year	NOUN
dem-4197	95	32	2000	2000	NUM
dem-4197	95	33	)	)	PUNCT
dem-4197	95	34	and	and	CCONJ
dem-4197	95	35	the	the	DET
dem-4197	95	36	estimation	estimation	NOUN
dem-4197	95	37	was	be	AUX
dem-4197	95	38	repeated	repeat	VERB
dem-4197	95	39	.	.	PUNCT
dem-4197	96	1	at	at	ADP
dem-4197	96	2	each	each	DET
dem-4197	96	3	stage	stage	NOUN
dem-4197	96	4	criteria	criterion	NOUN
dem-4197	96	5	:	:	PUNCT
dem-4197	96	6	aic	aic	PROPN
dem-4197	96	7	and	and	CCONJ
dem-4197	96	8	bic	bic	PROPN
dem-4197	96	9	,	,	PUNCT
dem-4197	96	10	the	the	DET
dem-4197	96	11	forecasts	forecast	NOUN
dem-4197	96	12	from	from	ADP
dem-4197	96	13	both	both	DET
dem-4197	96	14	types	type	NOUN
dem-4197	96	15	of	of	ADP
dem-4197	96	16	models	model	NOUN
dem-4197	96	17	and	and	CCONJ
dem-4197	96	18	accumulated	accumulate	VERB
dem-4197	96	19	one	one	NUM
dem-4197	96	20	-	-	PUNCT
dem-4197	96	21	step	step	NOUN
dem-4197	96	22	-	-	PUNCT
dem-4197	96	23	ahead	ahead	NOUN
dem-4197	96	24	prediction	prediction	NOUN
dem-4197	96	25	error	error	NOUN
dem-4197	96	26	(	(	PUNCT
dem-4197	96	27	ape_se	ape_se	X
dem-4197	96	28	and	and	CCONJ
dem-4197	96	29	ape_ae	ape_ae	NUM
dem-4197	96	30	)	)	PUNCT
dem-4197	96	31	were	be	AUX
dem-4197	96	32	calculated	calculate	VERB
dem-4197	96	33	.	.	PUNCT
dem-4197	97	1	results	result	NOUN
dem-4197	97	2	in	in	ADP
dem-4197	97	3	form	form	NOUN
dem-4197	97	4	of	of	ADP
dem-4197	97	5	differences	difference	NOUN
dem-4197	97	6	among	among	ADP
dem-4197	97	7	aic	aic	PROPN
dem-4197	97	8	,	,	PUNCT
dem-4197	97	9	bic	bic	PROPN
dem-4197	97	10	and	and	CCONJ
dem-4197	97	11	ape	ape	NOUN
dem-4197	97	12	for	for	ADP
dem-4197	97	13	both	both	DET
dem-4197	97	14	types	type	NOUN
dem-4197	97	15	of	of	ADP
dem-4197	97	16	models	model	NOUN
dem-4197	97	17	depending	depend	VERB
dem-4197	97	18	on	on	ADP
dem-4197	97	19	sample	sample	NOUN
dem-4197	97	20	size	size	NOUN
dem-4197	97	21	are	be	AUX
dem-4197	97	22	presented	present	VERB
dem-4197	97	23	in	in	ADP
dem-4197	97	24	figures	figure	NOUN
dem-4197	97	25	1	1	NUM
dem-4197	97	26	(	(	PUNCT
dem-4197	97	27	gdp	gdp	NOUN
dem-4197	97	28	in	in	ADP
dem-4197	97	29	france	france	PROPN
dem-4197	97	30	)	)	PUNCT
dem-4197	97	31	and	and	CCONJ
dem-4197	97	32	2	2	NUM
dem-4197	97	33	(	(	PUNCT
dem-4197	97	34	gdp	gdp	NOUN
dem-4197	97	35	in	in	ADP
dem-4197	97	36	poland	poland	PROPN
dem-4197	97	37	)	)	PUNCT
dem-4197	97	38	.	.	PUNCT
dem-4197	98	1	figure	figure	NOUN
dem-4197	98	2	1	1	NUM
dem-4197	98	3	(	(	PUNCT
dem-4197	98	4	panel	panel	NOUN
dem-4197	98	5	a	a	PRON
dem-4197	98	6	and	and	CCONJ
dem-4197	98	7	b	b	NOUN
dem-4197	98	8	)	)	PUNCT
dem-4197	98	9	shows	show	VERB
dem-4197	98	10	that	that	SCONJ
dem-4197	98	11	as	as	SCONJ
dem-4197	98	12	the	the	DET
dem-4197	98	13	sample	sample	NOUN
dem-4197	98	14	size	size	NOUN
dem-4197	98	15	increases	increase	VERB
dem-4197	98	16	the	the	DET
dem-4197	98	17	criteria	criterion	NOUN
dem-4197	98	18	aic	aic	PROPN
dem-4197	98	19	and	and	CCONJ
dem-4197	98	20	bic	bic	PROPN
dem-4197	98	21	give	give	VERB
dem-4197	98	22	a	a	DET
dem-4197	98	23	general	general	ADJ
dem-4197	98	24	support	support	NOUN
dem-4197	98	25	for	for	ADP
dem-4197	98	26	the	the	DET
dem-4197	98	27	t+ar(2	t+ar(2	PROPN
dem-4197	98	28	)	)	PUNCT
dem-4197	98	29	model	model	NOUN
dem-4197	98	30	,	,	PUNCT
dem-4197	98	31	because	because	SCONJ
dem-4197	98	32	the	the	DET
dem-4197	98	33	difference	difference	NOUN
dem-4197	98	34	of	of	ADP
dem-4197	98	35	criteria	criterion	NOUN
dem-4197	98	36	:	:	PUNCT
dem-4197	98	37	aic(arima)-aic(t+ar(2	aic(arima)-aic(t+ar(2	NOUN
dem-4197	98	38	)	)	PUNCT
dem-4197	98	39	)	)	PUNCT
dem-4197	98	40	and	and	CCONJ
dem-4197	98	41	bic(arima)bic(t+ar(2	bic(arima)bic(t+ar(2	NOUN
dem-4197	98	42	)	)	PUNCT
dem-4197	98	43	)	)	PUNCT
dem-4197	98	44	is	be	AUX
dem-4197	98	45	positive	positive	ADJ
dem-4197	98	46	(	(	PUNCT
dem-4197	98	47	what	what	PRON
dem-4197	98	48	denotes	denote	VERB
dem-4197	98	49	smaller	small	ADJ
dem-4197	98	50	value	value	NOUN
dem-4197	98	51	of	of	ADP
dem-4197	98	52	aic	aic	PROPN
dem-4197	98	53	and	and	CCONJ
dem-4197	98	54	bic	bic	PROPN
dem-4197	98	55	for	for	ADP
dem-4197	98	56	model	model	NOUN
dem-4197	98	57	t+ar(2	t+ar(2	NOUN
dem-4197	98	58	)	)	PUNCT
dem-4197	98	59	)	)	PUNCT
dem-4197	98	60	;	;	PUNCT
dem-4197	98	61	only	only	ADV
dem-4197	98	62	for	for	ADP
dem-4197	98	63	a	a	DET
dem-4197	98	64	few	few	ADJ
dem-4197	98	65	periods	period	NOUN
dem-4197	98	66	:	:	PUNCT
dem-4197	98	67	18th	18th	ADJ
dem-4197	98	68	(	(	PUNCT
dem-4197	98	69	a	a	DET
dem-4197	98	70	year	year	NOUN
dem-4197	98	71	1975	1975	NUM
dem-4197	98	72	)	)	PUNCT
dem-4197	98	73	,	,	PUNCT
dem-4197	98	74	28th	28th	NOUN
dem-4197	98	75	and	and	CCONJ
dem-4197	98	76	29th	29th	ADJ
dem-4197	98	77	(	(	PUNCT
dem-4197	98	78	a	a	DET
dem-4197	98	79	year	year	NOUN
dem-4197	98	80	1985	1985	NUM
dem-4197	98	81	and	and	CCONJ
dem-4197	98	82	1986	1986	NUM
dem-4197	98	83	)	)	PUNCT
dem-4197	98	84	the	the	DET
dem-4197	98	85	difference	difference	NOUN
dem-4197	98	86	of	of	ADP
dem-4197	98	87	criteria	criterion	NOUN
dem-4197	98	88	is	be	AUX
dem-4197	98	89	negative	negative	ADJ
dem-4197	98	90	,	,	PUNCT
dem-4197	98	91	what	what	PRON
dem-4197	98	92	gives	give	VERB
dem-4197	98	93	a	a	DET
dem-4197	98	94	preference	preference	NOUN
dem-4197	98	95	for	for	ADP
dem-4197	98	96	the	the	DET
dem-4197	98	97	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	98	98	)	)	PUNCT
dem-4197	98	99	model	model	NOUN
dem-4197	98	100	in	in	ADP
dem-4197	98	101	these	these	DET
dem-4197	98	102	periods	period	NOUN
dem-4197	98	103	.	.	PUNCT
dem-4197	99	1	however	however	ADV
dem-4197	99	2	,	,	PUNCT
dem-4197	99	3	observing	observe	VERB
dem-4197	99	4	the	the	DET
dem-4197	99	5	evolution	evolution	NOUN
dem-4197	99	6	of	of	ADP
dem-4197	99	7	difference	difference	NOUN
dem-4197	99	8	in	in	ADP
dem-4197	99	9	ape	ape	NOUN
dem-4197	99	10	(	(	PUNCT
dem-4197	99	11	ape_se	ape_se	X
dem-4197	99	12	and	and	CCONJ
dem-4197	99	13	ape_ae	ape_ae	NUM
dem-4197	99	14	)	)	PUNCT
dem-4197	99	15	for	for	ADP
dem-4197	99	16	both	both	DET
dem-4197	99	17	types	type	NOUN
dem-4197	99	18	of	of	ADP
dem-4197	99	19	models	model	NOUN
dem-4197	99	20	no	no	DET
dem-4197	99	21	support	support	NOUN
dem-4197	99	22	for	for	ADP
dem-4197	99	23	the	the	DET
dem-4197	99	24	t+ar(2	t+ar(2	PROPN
dem-4197	99	25	)	)	PUNCT
dem-4197	99	26	model	model	NOUN
dem-4197	99	27	as	as	ADP
dem-4197	99	28	in	in	ADP
dem-4197	99	29	the	the	DET
dem-4197	99	30	case	case	NOUN
dem-4197	99	31	of	of	ADP
dem-4197	99	32	aic	aic	PROPN
dem-4197	99	33	and	and	CCONJ
dem-4197	99	34	bic	bic	PROPN
dem-4197	99	35	is	be	AUX
dem-4197	99	36	obtained	obtain	VERB
dem-4197	99	37	–	–	PUNCT
dem-4197	99	38	see	see	VERB
dem-4197	99	39	panel	panel	NOUN
dem-4197	99	40	c	c	PROPN
dem-4197	99	41	and	and	CCONJ
dem-4197	99	42	d.	d.	PROPN
dem-4197	99	43	almost	almost	ADV
dem-4197	99	44	in	in	ADP
dem-4197	99	45	the	the	DET
dem-4197	99	46	whole	whole	ADJ
dem-4197	99	47	forecast	forecast	NOUN
dem-4197	99	48	period	period	NOUN
dem-4197	99	49	the	the	DET
dem-4197	99	50	difference	difference	NOUN
dem-4197	99	51	in	in	ADP
dem-4197	99	52	ape_se	ape_se	X
dem-4197	99	53	for	for	ADP
dem-4197	99	54	both	both	DET
dem-4197	99	55	models10	models10	NOUN
dem-4197	99	56	is	be	AUX
dem-4197	99	57	negative	negative	ADJ
dem-4197	99	58	what	what	PRON
dem-4197	99	59	leads	lead	VERB
dem-4197	99	60	to	to	ADP
dem-4197	99	61	a	a	DET
dem-4197	99	62	general	general	ADJ
dem-4197	99	63	preference	preference	NOUN
dem-4197	99	64	for	for	ADP
dem-4197	99	65	the	the	DET
dem-4197	99	66	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	99	67	)	)	PUNCT
dem-4197	99	68	model	model	NOUN
dem-4197	99	69	when	when	SCONJ
dem-4197	99	70	the	the	DET
dem-4197	99	71	gdp	gdp	NOUN
dem-4197	99	72	for	for	ADP
dem-4197	99	73	france	france	PROPN
dem-4197	99	74	is	be	AUX
dem-4197	99	75	to	to	PART
dem-4197	99	76	be	be	AUX
dem-4197	99	77	forecast	forecast	VERB
dem-4197	99	78	–	–	PUNCT
dem-4197	99	79	see	see	VERB
dem-4197	99	80	panel	panel	NOUN
dem-4197	99	81	c	c	NOUN
dem-4197	99	82	(	(	PUNCT
dem-4197	99	83	with	with	ADP
dem-4197	99	84	exception	exception	NOUN
dem-4197	99	85	of	of	ADP
dem-4197	99	86	first	first	ADJ
dem-4197	99	87	3	3	NUM
dem-4197	99	88	observations	observation	NOUN
dem-4197	99	89	referring	refer	VERB
dem-4197	99	90	to	to	ADP
dem-4197	99	91	1958	1958	NUM
dem-4197	99	92	-	-	SYM
dem-4197	99	93	1960	1960	NUM
dem-4197	99	94	period	period	NOUN
dem-4197	99	95	,	,	PUNCT
dem-4197	99	96	12th	12th	ADJ
dem-4197	99	97	and	and	CCONJ
dem-4197	99	98	13th	13th	NOUN
dem-4197	99	99	observations	observation	NOUN
dem-4197	99	100	referring	refer	VERB
dem-4197	99	101	to	to	ADP
dem-4197	99	102	1969	1969	NUM
dem-4197	99	103	-	-	SYM
dem-4197	99	104	1970	1970	NUM
dem-4197	99	105	)	)	PUNCT
dem-4197	99	106	.	.	PUNCT
dem-4197	100	1	different	different	ADJ
dem-4197	100	2	performance	performance	NOUN
dem-4197	100	3	shows	show	VERB
dem-4197	100	4	the	the	DET
dem-4197	100	5	difference	difference	NOUN
dem-4197	100	6	in	in	ADP
dem-4197	100	7	ape_ae	ape_ae	VERB
dem-4197	100	8	for	for	ADP
dem-4197	100	9	both	both	DET
dem-4197	100	10	models	model	NOUN
dem-4197	100	11	(	(	PUNCT
dem-4197	100	12	figure	figure	NOUN
dem-4197	100	13	1	1	NUM
dem-4197	100	14	,	,	PUNCT
dem-4197	100	15	panel	panel	NOUN
dem-4197	100	16	d	d	NOUN
dem-4197	100	17	)	)	PUNCT
dem-4197	100	18	,	,	PUNCT
dem-4197	100	19	i.e.	i.e.	X
dem-4197	100	20	it	it	PRON
dem-4197	100	21	favors	favor	VERB
dem-4197	100	22	the	the	DET
dem-4197	100	23	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	100	24	)	)	PUNCT
dem-4197	100	25	model	model	NOUN
dem-4197	100	26	from	from	ADP
dem-4197	100	27	4th	4th	ADJ
dem-4197	100	28	observation	observation	NOUN
dem-4197	100	29	up	up	ADP
dem-4197	100	30	until	until	SCONJ
dem-4197	100	31	the	the	DET
dem-4197	100	32	data	data	NOUN
dem-4197	100	33	set	set	NOUN
dem-4197	100	34	has	have	AUX
dem-4197	100	35	increased	increase	VERB
dem-4197	100	36	to	to	ADP
dem-4197	100	37	n	n	NOUN
dem-4197	100	38	=	=	SYM
dem-4197	100	39	35	35	NUM
dem-4197	100	40	(	(	PUNCT
dem-4197	100	41	what	what	PRON
dem-4197	100	42	refers	refer	VERB
dem-4197	100	43	to	to	ADP
dem-4197	100	44	1961	1961	NUM
dem-4197	100	45	-	-	SYM
dem-4197	100	46	1993	1993	NUM
dem-4197	100	47	period	period	NOUN
dem-4197	100	48	)	)	PUNCT
dem-4197	100	49	,	,	PUNCT
dem-4197	100	50	after	after	ADP
dem-4197	100	51	which	which	PRON
dem-4197	100	52	it	it	PRON
dem-4197	100	53	starts	start	VERB
dem-4197	100	54	to	to	PART
dem-4197	100	55	prefer	prefer	VERB
dem-4197	100	56	the	the	DET
dem-4197	100	57	t+ar(2	t+ar(2	NOUN
dem-4197	100	58	)	)	PUNCT
dem-4197	100	59	model11	model11	NOUN
dem-4197	100	60	.	.	PUNCT
dem-4197	101	1	this	this	PRON
dem-4197	101	2	means	mean	VERB
dem-4197	101	3	that	that	SCONJ
dem-4197	101	4	the	the	DET
dem-4197	101	5	8	8	NUM
dem-4197	101	6	accumulated	accumulate	VERB
dem-4197	101	7	prediction	prediction	NOUN
dem-4197	101	8	error	error	NOUN
dem-4197	101	9	(	(	PUNCT
dem-4197	101	10	ape	ape	NOUN
dem-4197	101	11	)	)	PUNCT
dem-4197	101	12	was	be	AUX
dem-4197	101	13	calculated	calculate	VERB
dem-4197	101	14	using	use	VERB
dem-4197	101	15	gretl	gretl	ADJ
dem-4197	101	16	script	script	NOUN
dem-4197	101	17	written	write	VERB
dem-4197	101	18	by	by	ADP
dem-4197	101	19	author	author	NOUN
dem-4197	101	20	for	for	ADP
dem-4197	101	21	that	that	DET
dem-4197	101	22	purpose	purpose	NOUN
dem-4197	101	23	.	.	PUNCT
dem-4197	102	1	9	9	NUM
dem-4197	102	2	model	model	NOUN
dem-4197	102	3	arima(1,1,0	arima(1,1,0	PROPN
dem-4197	102	4	)	)	PUNCT
dem-4197	102	5	has	have	AUX
dem-4197	102	6	been	be	AUX
dem-4197	102	7	estimated	estimate	VERB
dem-4197	102	8	by	by	ADP
dem-4197	102	9	maximum	maximum	ADJ
dem-4197	102	10	likelihood	likelihood	NOUN
dem-4197	102	11	method	method	NOUN
dem-4197	102	12	,	,	PUNCT
dem-4197	102	13	and	and	CCONJ
dem-4197	102	14	model	model	NOUN
dem-4197	102	15	t+ar(2	t+ar(2	NOUN
dem-4197	102	16	)	)	PUNCT
dem-4197	102	17	–	–	PUNCT
dem-4197	102	18	least	least	ADJ
dem-4197	102	19	squares	square	NOUN
dem-4197	102	20	method	method	VERB
dem-4197	102	21	.	.	PUNCT
dem-4197	103	1	10	10	NUM
dem-4197	103	2	the	the	DET
dem-4197	103	3	notion	notion	NOUN
dem-4197	103	4	ape_se(arima(1,1,0)-ape_se(t+ar(2	ape_se(arima(1,1,0)-ape_se(t+ar(2	NOUN
dem-4197	103	5	)	)	PUNCT
dem-4197	103	6	)	)	PUNCT
dem-4197	103	7	stands	stand	VERB
dem-4197	103	8	for	for	ADP
dem-4197	103	9	the	the	DET
dem-4197	103	10	difference	difference	NOUN
dem-4197	103	11	in	in	ADP
dem-4197	103	12	ape_se	ape_se	PRON
dem-4197	103	13	calculated	calculate	VERB
dem-4197	103	14	for	for	ADP
dem-4197	103	15	both	both	DET
dem-4197	103	16	models	model	NOUN
dem-4197	103	17	–	–	PUNCT
dem-4197	103	18	see	see	VERB
dem-4197	103	19	figure	figure	NOUN
dem-4197	103	20	1	1	NUM
dem-4197	103	21	.	.	NOUN
dem-4197	103	22	11	11	NUM
dem-4197	103	23	the	the	DET
dem-4197	103	24	negative	negative	ADJ
dem-4197	103	25	difference	difference	NOUN
dem-4197	103	26	in	in	ADP
dem-4197	103	27	ape_ae	ape_ae	PRON
dem-4197	103	28	denotes	denote	NOUN
dem-4197	103	29	better	well	ADJ
dem-4197	103	30	predictive	predictive	ADJ
dem-4197	103	31	performance	performance	NOUN
dem-4197	103	32	(	(	PUNCT
dem-4197	103	33	smaller	small	ADJ
dem-4197	103	34	onestep	onestep	NOUN
dem-4197	103	35	-	-	PUNCT
dem-4197	103	36	ahead	ahead	NOUN
dem-4197	103	37	prediction	prediction	NOUN
dem-4197	103	38	errors	error	NOUN
dem-4197	103	39	)	)	PUNCT
dem-4197	103	40	of	of	ADP
dem-4197	103	41	the	the	DET
dem-4197	103	42	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	103	43	)	)	PUNCT
dem-4197	103	44	model	model	NOUN
dem-4197	103	45	than	than	ADP
dem-4197	103	46	the	the	DET
dem-4197	103	47	t+ar(2	t+ar(2	PROPN
dem-4197	103	48	)	)	PUNCT
dem-4197	103	49	model	model	NOUN
dem-4197	103	50	,	,	PUNCT
dem-4197	103	51	and	and	CCONJ
dem-4197	103	52	the	the	DET
dem-4197	103	53	positive	positive	ADJ
dem-4197	103	54	difference	difference	NOUN
dem-4197	103	55	in	in	ADP
dem-4197	103	56	ape_ae	ape_ae	NUM
dem-4197	103	57	–	–	PUNCT
dem-4197	103	58	on	on	ADP
dem-4197	103	59	the	the	DET
dem-4197	103	60	contrary	contrary	NOUN
dem-4197	103	61	.	.	PUNCT
dem-4197	104	1	choosing	choose	VERB
dem-4197	104	2	a	a	DET
dem-4197	104	3	model	model	NOUN
dem-4197	104	4	and	and	CCONJ
dem-4197	104	5	model	model	NOUN
dem-4197	104	6	selection	selection	NOUN
dem-4197	104	7	strategy	strategy	NOUN
dem-4197	104	8	by	by	ADP
dem-4197	104	9	…	…	PUNCT
dem-4197	104	10	113	113	NUM
dem-4197	104	11	choice	choice	NOUN
dem-4197	104	12	of	of	ADP
dem-4197	104	13	model	model	NOUN
dem-4197	104	14	will	will	AUX
dem-4197	104	15	depend	depend	VERB
dem-4197	104	16	on	on	ADP
dem-4197	104	17	the	the	DET
dem-4197	104	18	loss	loss	NOUN
dem-4197	104	19	function	function	NOUN
dem-4197	104	20	taken	take	VERB
dem-4197	104	21	to	to	PART
dem-4197	104	22	calculate	calculate	VERB
dem-4197	104	23	the	the	DET
dem-4197	104	24	accumulated	accumulate	VERB
dem-4197	104	25	prediction	prediction	NOUN
dem-4197	104	26	error	error	NOUN
dem-4197	104	27	.	.	PUNCT
dem-4197	105	1	figure	figure	NOUN
dem-4197	105	2	1	1	NUM
dem-4197	105	3	.	.	NOUN
dem-4197	105	4	difference	difference	NOUN
dem-4197	105	5	between	between	ADP
dem-4197	105	6	choice	choice	NOUN
dem-4197	105	7	criteria	criterion	NOUN
dem-4197	105	8	for	for	ADP
dem-4197	105	9	the	the	DET
dem-4197	105	10	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	105	11	)	)	PUNCT
dem-4197	105	12	model	model	NOUN
dem-4197	105	13	and	and	CCONJ
dem-4197	105	14	the	the	DET
dem-4197	105	15	t+ar(2	t+ar(2	PROPN
dem-4197	105	16	)	)	PUNCT
dem-4197	105	17	model	model	NOUN
dem-4197	105	18	using	use	VERB
dem-4197	105	19	to	to	PART
dem-4197	105	20	obtain	obtain	VERB
dem-4197	105	21	forecasts	forecast	NOUN
dem-4197	105	22	of	of	ADP
dem-4197	105	23	gdp	gdp	NOUN
dem-4197	105	24	in	in	ADP
dem-4197	105	25	france	france	PROPN
dem-4197	105	26	.	.	PUNCT
dem-4197	106	1	panel	panel	NOUN
dem-4197	106	2	a	a	PRON
dem-4197	106	3	–	–	PUNCT
dem-4197	106	4	aic	aic	PROPN
dem-4197	106	5	,	,	PUNCT
dem-4197	106	6	panel	panel	NOUN
dem-4197	106	7	b	b	PROPN
dem-4197	106	8	–	–	PUNCT
dem-4197	106	9	bic	bic	PROPN
dem-4197	106	10	,	,	PUNCT
dem-4197	106	11	panel	panel	NOUN
dem-4197	106	12	c	c	PROPN
dem-4197	106	13	–	–	PUNCT
dem-4197	106	14	ape_se	ape_se	PROPN
dem-4197	106	15	,	,	PUNCT
dem-4197	106	16	panel	panel	NOUN
dem-4197	106	17	d	d	NOUN
dem-4197	106	18	–	–	PUNCT
dem-4197	106	19	ape_ae	ape_ae	PUNCT
dem-4197	106	20	figure	figure	NOUN
dem-4197	106	21	2	2	NUM
dem-4197	106	22	.	.	NOUN
dem-4197	106	23	difference	difference	NOUN
dem-4197	106	24	between	between	ADP
dem-4197	106	25	choice	choice	NOUN
dem-4197	106	26	criteria	criterion	NOUN
dem-4197	106	27	for	for	ADP
dem-4197	106	28	the	the	DET
dem-4197	106	29	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	106	30	)	)	PUNCT
dem-4197	106	31	model	model	NOUN
dem-4197	106	32	and	and	CCONJ
dem-4197	106	33	the	the	DET
dem-4197	106	34	t+ar(2	t+ar(2	PROPN
dem-4197	106	35	)	)	PUNCT
dem-4197	106	36	model	model	NOUN
dem-4197	106	37	using	use	VERB
dem-4197	106	38	to	to	PART
dem-4197	106	39	obtain	obtain	VERB
dem-4197	106	40	forecasts	forecast	NOUN
dem-4197	106	41	of	of	ADP
dem-4197	106	42	gdp	gdp	NOUN
dem-4197	106	43	in	in	ADP
dem-4197	106	44	poland	poland	PROPN
dem-4197	106	45	.	.	PUNCT
dem-4197	107	1	panel	panel	NOUN
dem-4197	107	2	a	a	PRON
dem-4197	107	3	–	–	PUNCT
dem-4197	107	4	aic	aic	PROPN
dem-4197	107	5	,	,	PUNCT
dem-4197	107	6	panel	panel	NOUN
dem-4197	107	7	b	b	PROPN
dem-4197	107	8	–	–	PUNCT
dem-4197	107	9	bic	bic	PROPN
dem-4197	107	10	,	,	PUNCT
dem-4197	107	11	panel	panel	NOUN
dem-4197	107	12	c	c	PROPN
dem-4197	107	13	–	–	PUNCT
dem-4197	107	14	ape_se	ape_se	PROPN
dem-4197	107	15	,	,	PUNCT
dem-4197	107	16	panel	panel	NOUN
dem-4197	107	17	d	d	NOUN
dem-4197	107	18	–	–	PUNCT
dem-4197	107	19	ape_ae	ape_ae	X
dem-4197	107	20	‐10	‐10	ADP
dem-4197	107	21	0	0	NUM
dem-4197	107	22	10	10	NUM
dem-4197	107	23	1	1	NUM
dem-4197	107	24	11	11	NUM
dem-4197	107	25	21	21	NUM
dem-4197	107	26	31	31	NUM
dem-4197	107	27	41	41	NUM
dem-4197	107	28	a	a	DET
dem-4197	107	29	ic	ic	PROPN
dem-4197	107	30	(	(	PUNCT
dem-4197	107	31	a	a	DET
dem-4197	107	32	ri	ri	NOUN
dem-4197	107	33	m	m	VERB
dem-4197	107	34	a	a	DET
dem-4197	107	35	(	(	PUNCT
dem-4197	107	36	1	1	NUM
dem-4197	107	37	,	,	PUNCT
dem-4197	107	38	1	1	NUM
dem-4197	107	39	,	,	PUNCT
dem-4197	107	40	0	0	NUM
dem-4197	107	41	)	)	PUNCT
dem-4197	107	42	)	)	PUNCT
dem-4197	108	1	‐	‐	ADP
dem-4197	108	2	a	a	DET
dem-4197	108	3	ic	ic	PROPN
dem-4197	108	4	(	(	PUNCT
dem-4197	108	5	t	t	PROPN
dem-4197	108	6	+	+	NOUN
dem-4197	108	7	a	a	DET
dem-4197	108	8	r	r	NOUN
dem-4197	108	9	(	(	PUNCT
dem-4197	108	10	2	2	NUM
dem-4197	108	11	)	)	PUNCT
dem-4197	108	12	)	)	PUNCT
dem-4197	109	1	n	n	CCONJ
dem-4197	109	2	a	a	X
dem-4197	109	3	)	)	PUNCT
dem-4197	109	4	                         	                         	SPACE
dem-4197	109	5	aic	aic	PROPN
dem-4197	109	6	‐10	‐10	ADP
dem-4197	109	7	0	0	NUM
dem-4197	109	8	10	10	NUM
dem-4197	109	9	1	1	NUM
dem-4197	109	10	11	11	NUM
dem-4197	109	11	21	21	NUM
dem-4197	109	12	31	31	NUM
dem-4197	109	13	41	41	NUM
dem-4197	109	14	bi	bi	NOUN
dem-4197	109	15	c	c	PROPN
dem-4197	109	16	(	(	PUNCT
dem-4197	109	17	a	a	DET
dem-4197	109	18	ri	ri	NOUN
dem-4197	109	19	m	m	VERB
dem-4197	109	20	a	a	DET
dem-4197	109	21	(	(	PUNCT
dem-4197	109	22	1	1	NUM
dem-4197	109	23	,	,	PUNCT
dem-4197	109	24	1	1	NUM
dem-4197	109	25	,	,	PUNCT
dem-4197	109	26	0	0	NUM
dem-4197	109	27	)	)	PUNCT
dem-4197	109	28	)	)	PUNCT
dem-4197	110	1	‐	‐	ADV
dem-4197	110	2	bi	bi	NOUN
dem-4197	110	3	c	c	X
dem-4197	110	4	(	(	PUNCT
dem-4197	110	5	t+	t+	X
dem-4197	110	6	a	a	DET
dem-4197	110	7	r	r	NOUN
dem-4197	110	8	(	(	PUNCT
dem-4197	110	9	2	2	NUM
dem-4197	110	10	)	)	PUNCT
dem-4197	110	11	)	)	PUNCT
dem-4197	110	12	n	n	PRON
dem-4197	110	13	b	b	X
dem-4197	110	14	)	)	PUNCT
dem-4197	110	15	                         	                         	SPACE
dem-4197	110	16	bic	bic	PROPN
dem-4197	110	17	‐1,e+09	‐1,e+09	NOUN
dem-4197	110	18	‐5,e+08	‐5,e+08	ADP
dem-4197	110	19	0,e+00	0,e+00	NUM
dem-4197	110	20	5,e+08	5,e+08	NUM
dem-4197	110	21	1	1	NUM
dem-4197	110	22	11	11	NUM
dem-4197	110	23	21	21	NUM
dem-4197	110	24	31	31	NUM
dem-4197	110	25	41	41	NUM
dem-4197	111	1	a	a	DET
dem-4197	111	2	pe	pe	NOUN
dem-4197	111	3	_	_	NOUN
dem-4197	111	4	s	s	PART
dem-4197	111	5	e	e	NOUN
dem-4197	111	6	(	(	PUNCT
dem-4197	111	7	a	a	DET
dem-4197	111	8	ri	ri	NOUN
dem-4197	111	9	m	m	VERB
dem-4197	111	10	a	a	DET
dem-4197	111	11	(	(	PUNCT
dem-4197	111	12	1	1	NUM
dem-4197	111	13	,	,	PUNCT
dem-4197	111	14	1	1	NUM
dem-4197	111	15	,	,	PUNCT
dem-4197	111	16	0	0	NUM
dem-4197	111	17	)	)	PUNCT
dem-4197	111	18	)	)	PUNCT
dem-4197	112	1	‐a	‐a	ADV
dem-4197	112	2	pe	pe	X
dem-4197	113	1	_	_	NOUN
dem-4197	113	2	s	s	PART
dem-4197	113	3	e	e	NOUN
dem-4197	113	4	(	(	PUNCT
dem-4197	113	5	t+	t+	X
dem-4197	113	6	a	a	DET
dem-4197	113	7	r	r	NOUN
dem-4197	113	8	(	(	PUNCT
dem-4197	113	9	2	2	NUM
dem-4197	113	10	)	)	PUNCT
dem-4197	113	11	)	)	PUNCT
dem-4197	113	12	n	n	PRON
dem-4197	113	13	c	c	X
dem-4197	113	14	)	)	PUNCT
dem-4197	113	15	                         	                         	SPACE
dem-4197	113	16	ape_se	ape_se	NOUN
dem-4197	113	17	‐20000	‐20000	NOUN
dem-4197	113	18	0	0	NUM
dem-4197	113	19	20000	20000	NUM
dem-4197	113	20	1	1	NUM
dem-4197	113	21	11	11	NUM
dem-4197	113	22	21	21	NUM
dem-4197	113	23	31	31	NUM
dem-4197	113	24	41	41	NUM
dem-4197	113	25	a	a	DET
dem-4197	113	26	pe	pe	X
dem-4197	113	27	_	_	PUNCT
dem-4197	113	28	a	a	DET
dem-4197	113	29	e	e	NOUN
dem-4197	113	30	(	(	PUNCT
dem-4197	113	31	a	a	DET
dem-4197	113	32	ri	ri	NOUN
dem-4197	113	33	m	m	VERB
dem-4197	113	34	a	a	DET
dem-4197	113	35	(	(	PUNCT
dem-4197	113	36	1	1	NUM
dem-4197	113	37	,	,	PUNCT
dem-4197	113	38	1	1	NUM
dem-4197	113	39	,	,	PUNCT
dem-4197	113	40	0	0	NUM
dem-4197	113	41	)	)	PUNCT
dem-4197	113	42	)	)	PUNCT
dem-4197	114	1	‐	‐	ADP
dem-4197	114	2	a	a	DET
dem-4197	114	3	pe	pe	NOUN
dem-4197	114	4	_	_	NOUN
dem-4197	114	5	a	a	DET
dem-4197	114	6	e	e	NOUN
dem-4197	114	7	(	(	PUNCT
dem-4197	114	8	t+	t+	X
dem-4197	114	9	a	a	DET
dem-4197	114	10	r	r	NOUN
dem-4197	114	11	(	(	PUNCT
dem-4197	114	12	2	2	NUM
dem-4197	114	13	)	)	PUNCT
dem-4197	114	14	)	)	PUNCT
dem-4197	114	15	n	n	PRON
dem-4197	114	16	d	d	NOUN
dem-4197	114	17	)	)	PUNCT
dem-4197	114	18	                       	                       	SPACE
dem-4197	114	19	ape_ae	ape_ae	X
dem-4197	114	20	0	0	NUM
dem-4197	114	21	5	5	NUM
dem-4197	114	22	10	10	NUM
dem-4197	114	23	15	15	NUM
dem-4197	114	24	1	1	NUM
dem-4197	114	25	11	11	NUM
dem-4197	114	26	21	21	NUM
dem-4197	114	27	31	31	NUM
dem-4197	114	28	41a	41a	NOUN
dem-4197	114	29	ic	ic	PROPN
dem-4197	114	30	(	(	PUNCT
dem-4197	114	31	a	a	DET
dem-4197	114	32	ri	ri	NOUN
dem-4197	114	33	m	m	VERB
dem-4197	114	34	a	a	DET
dem-4197	114	35	(	(	PUNCT
dem-4197	114	36	1	1	NUM
dem-4197	114	37	,	,	PUNCT
dem-4197	114	38	1	1	NUM
dem-4197	114	39	,	,	PUNCT
dem-4197	114	40	0	0	NUM
dem-4197	114	41	)	)	PUNCT
dem-4197	114	42	)	)	PUNCT
dem-4197	115	1	‐	‐	ADP
dem-4197	115	2	a	a	DET
dem-4197	115	3	ic	ic	PROPN
dem-4197	115	4	(	(	PUNCT
dem-4197	115	5	t	t	PROPN
dem-4197	115	6	+	+	NOUN
dem-4197	115	7	a	a	DET
dem-4197	115	8	r	r	NOUN
dem-4197	115	9	(	(	PUNCT
dem-4197	115	10	2	2	NUM
dem-4197	115	11	)	)	PUNCT
dem-4197	115	12	)	)	PUNCT
dem-4197	116	1	n	n	CCONJ
dem-4197	116	2	a	a	X
dem-4197	116	3	)	)	PUNCT
dem-4197	116	4	                         	                         	SPACE
dem-4197	116	5	aic	aic	PROPN
dem-4197	116	6	‐5	‐5	PROPN
dem-4197	116	7	0	0	NUM
dem-4197	116	8	5	5	NUM
dem-4197	116	9	10	10	NUM
dem-4197	116	10	15	15	NUM
dem-4197	116	11	20	20	NUM
dem-4197	116	12	1	1	NUM
dem-4197	116	13	11	11	NUM
dem-4197	116	14	21	21	NUM
dem-4197	116	15	31	31	NUM
dem-4197	116	16	41bi	41bi	NOUN
dem-4197	116	17	c	c	NOUN
dem-4197	116	18	(	(	PUNCT
dem-4197	116	19	a	a	DET
dem-4197	116	20	ri	ri	NOUN
dem-4197	116	21	m	m	VERB
dem-4197	116	22	a	a	DET
dem-4197	116	23	(	(	PUNCT
dem-4197	116	24	1	1	NUM
dem-4197	116	25	,	,	PUNCT
dem-4197	116	26	1	1	NUM
dem-4197	116	27	,	,	PUNCT
dem-4197	116	28	0	0	NUM
dem-4197	116	29	)	)	PUNCT
dem-4197	116	30	)	)	PUNCT
dem-4197	117	1	‐	‐	ADV
dem-4197	117	2	bi	bi	NOUN
dem-4197	117	3	c	c	X
dem-4197	117	4	(	(	PUNCT
dem-4197	117	5	t+	t+	X
dem-4197	117	6	a	a	DET
dem-4197	117	7	r	r	NOUN
dem-4197	117	8	(	(	PUNCT
dem-4197	117	9	2	2	NUM
dem-4197	117	10	)	)	PUNCT
dem-4197	117	11	)	)	PUNCT
dem-4197	117	12	n	n	PRON
dem-4197	117	13	b	b	X
dem-4197	117	14	)	)	PUNCT
dem-4197	117	15	                             	                             	SPACE
dem-4197	117	16	bic	bic	PROPN
dem-4197	117	17	‐1,e+09	‐1,e+09	NOUN
dem-4197	117	18	‐5,e+08	‐5,e+08	ADP
dem-4197	117	19	0,e+00	0,e+00	NUM
dem-4197	117	20	5,e+08	5,e+08	NUM
dem-4197	117	21	1	1	NUM
dem-4197	117	22	11	11	NUM
dem-4197	117	23	21	21	NUM
dem-4197	117	24	31	31	NUM
dem-4197	117	25	41	41	NUM
dem-4197	118	1	a	a	DET
dem-4197	118	2	pe	pe	NOUN
dem-4197	118	3	_	_	NOUN
dem-4197	118	4	s	s	PART
dem-4197	118	5	e	e	NOUN
dem-4197	118	6	(	(	PUNCT
dem-4197	118	7	a	a	DET
dem-4197	118	8	ri	ri	NOUN
dem-4197	118	9	m	m	VERB
dem-4197	118	10	a	a	DET
dem-4197	118	11	(	(	PUNCT
dem-4197	118	12	1	1	NUM
dem-4197	118	13	,	,	PUNCT
dem-4197	118	14	1	1	NUM
dem-4197	118	15	,	,	PUNCT
dem-4197	118	16	0	0	NUM
dem-4197	118	17	)	)	PUNCT
dem-4197	118	18	)	)	PUNCT
dem-4197	119	1	‐a	‐a	ADV
dem-4197	119	2	pe	pe	X
dem-4197	120	1	_	_	NOUN
dem-4197	120	2	s	s	PART
dem-4197	120	3	e	e	NOUN
dem-4197	120	4	(	(	PUNCT
dem-4197	120	5	t+	t+	X
dem-4197	120	6	a	a	DET
dem-4197	120	7	r	r	NOUN
dem-4197	120	8	(	(	PUNCT
dem-4197	120	9	2	2	NUM
dem-4197	120	10	)	)	PUNCT
dem-4197	120	11	)	)	PUNCT
dem-4197	120	12	n	n	PRON
dem-4197	120	13	c	c	X
dem-4197	120	14	)	)	PUNCT
dem-4197	120	15	                         	                         	SPACE
dem-4197	120	16	ape_se	ape_se	PROPN
dem-4197	120	17	‐80000	‐80000	PROPN
dem-4197	120	18	‐60000	‐60000	PROPN
dem-4197	120	19	‐40000	‐40000	PROPN
dem-4197	121	1	‐20000	‐20000	NOUN
dem-4197	121	2	0	0	NUM
dem-4197	121	3	20000	20000	NUM
dem-4197	121	4	1	1	NUM
dem-4197	121	5	11	11	NUM
dem-4197	121	6	21	21	NUM
dem-4197	121	7	31	31	NUM
dem-4197	121	8	41	41	NUM
dem-4197	121	9	a	a	DET
dem-4197	121	10	pe	pe	X
dem-4197	121	11	_	_	PUNCT
dem-4197	121	12	a	a	DET
dem-4197	121	13	e	e	NOUN
dem-4197	121	14	(	(	PUNCT
dem-4197	121	15	a	a	DET
dem-4197	121	16	ri	ri	NOUN
dem-4197	121	17	m	m	VERB
dem-4197	121	18	a	a	DET
dem-4197	121	19	(	(	PUNCT
dem-4197	121	20	1	1	NUM
dem-4197	121	21	,	,	PUNCT
dem-4197	121	22	1	1	NUM
dem-4197	121	23	,	,	PUNCT
dem-4197	121	24	0	0	NUM
dem-4197	121	25	)	)	PUNCT
dem-4197	121	26	)	)	PUNCT
dem-4197	121	27	‐	‐	ADP
dem-4197	121	28	a	a	DET
dem-4197	121	29	pe	pe	NOUN
dem-4197	121	30	_	_	NOUN
dem-4197	121	31	a	a	DET
dem-4197	121	32	e	e	NOUN
dem-4197	121	33	(	(	PUNCT
dem-4197	121	34	t+	t+	X
dem-4197	121	35	a	a	DET
dem-4197	121	36	r	r	NOUN
dem-4197	121	37	(	(	PUNCT
dem-4197	121	38	2	2	NUM
dem-4197	121	39	)	)	PUNCT
dem-4197	121	40	)	)	PUNCT
dem-4197	121	41	n	n	PRON
dem-4197	121	42	d	d	X
dem-4197	121	43	)	)	PUNCT
dem-4197	121	44	                       	                       	SPACE
dem-4197	121	45	ape_ae	ape_ae	PUNCT
dem-4197	121	46	mariola	mariola	PROPN
dem-4197	121	47	piłatowska	piłatowska	NOUN
dem-4197	121	48	114	114	NUM
dem-4197	121	49	when	when	SCONJ
dem-4197	121	50	forecasting	forecast	VERB
dem-4197	121	51	the	the	DET
dem-4197	121	52	gdp	gdp	NOUN
dem-4197	121	53	in	in	ADP
dem-4197	121	54	poland	poland	PROPN
dem-4197	121	55	–	–	PUNCT
dem-4197	121	56	see	see	VERB
dem-4197	121	57	figure	figure	NOUN
dem-4197	121	58	2	2	NUM
dem-4197	121	59	,	,	PUNCT
dem-4197	121	60	panel	panel	NOUN
dem-4197	121	61	a	a	PRON
dem-4197	121	62	and	and	CCONJ
dem-4197	121	63	b	b	NOUN
dem-4197	121	64	–	–	PUNCT
dem-4197	121	65	the	the	DET
dem-4197	121	66	positive	positive	ADJ
dem-4197	121	67	difference	difference	NOUN
dem-4197	121	68	of	of	ADP
dem-4197	121	69	aic	aic	PROPN
dem-4197	121	70	and	and	CCONJ
dem-4197	121	71	bic	bic	PROPN
dem-4197	121	72	criteria	criterion	NOUN
dem-4197	121	73	for	for	ADP
dem-4197	121	74	alternative	alternative	ADJ
dem-4197	121	75	models	model	NOUN
dem-4197	121	76	indicates	indicate	VERB
dem-4197	121	77	that	that	SCONJ
dem-4197	121	78	the	the	DET
dem-4197	121	79	t+ar(2	t+ar(2	PROPN
dem-4197	121	80	)	)	PUNCT
dem-4197	121	81	model	model	NOUN
dem-4197	121	82	is	be	AUX
dem-4197	121	83	to	to	PART
dem-4197	121	84	be	be	AUX
dem-4197	121	85	preferred	prefer	VERB
dem-4197	121	86	over	over	ADP
dem-4197	121	87	the	the	DET
dem-4197	121	88	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	121	89	)	)	PUNCT
dem-4197	121	90	model	model	NOUN
dem-4197	121	91	.	.	PUNCT
dem-4197	122	1	however	however	ADV
dem-4197	122	2	,	,	PUNCT
dem-4197	122	3	in	in	ADP
dem-4197	122	4	the	the	DET
dem-4197	122	5	case	case	NOUN
dem-4197	122	6	of	of	ADP
dem-4197	122	7	bic	bic	PROPN
dem-4197	122	8	the	the	DET
dem-4197	122	9	support	support	NOUN
dem-4197	122	10	for	for	ADP
dem-4197	122	11	the	the	DET
dem-4197	122	12	t+ar(2	t+ar(2	PROPN
dem-4197	122	13	)	)	PUNCT
dem-4197	122	14	model	model	NOUN
dem-4197	122	15	decreases	decrease	NOUN
dem-4197	122	16	as	as	SCONJ
dem-4197	122	17	the	the	DET
dem-4197	122	18	sample	sample	NOUN
dem-4197	122	19	size	size	NOUN
dem-4197	122	20	increases	increase	VERB
dem-4197	122	21	what	what	PRON
dem-4197	122	22	is	be	AUX
dem-4197	122	23	seen	see	VERB
dem-4197	122	24	in	in	ADP
dem-4197	122	25	decreasing	decrease	VERB
dem-4197	122	26	difference	difference	NOUN
dem-4197	122	27	in	in	ADP
dem-4197	122	28	bic	bic	NOUN
dem-4197	122	29	for	for	ADP
dem-4197	122	30	both	both	DET
dem-4197	122	31	models	model	NOUN
dem-4197	122	32	.	.	PUNCT
dem-4197	123	1	the	the	DET
dem-4197	123	2	opposite	opposite	ADJ
dem-4197	123	3	pattern	pattern	NOUN
dem-4197	123	4	shows	show	VERB
dem-4197	123	5	the	the	DET
dem-4197	123	6	difference	difference	NOUN
dem-4197	123	7	in	in	ADP
dem-4197	123	8	ape	ape	NOUN
dem-4197	123	9	for	for	ADP
dem-4197	123	10	both	both	DET
dem-4197	123	11	models	model	NOUN
dem-4197	123	12	(	(	PUNCT
dem-4197	123	13	ape_se	ape_se	NUM
dem-4197	123	14	,	,	PUNCT
dem-4197	123	15	ape_ae	ape_ae	X
dem-4197	123	16	–	–	PUNCT
dem-4197	123	17	see	see	VERB
dem-4197	123	18	panel	panel	NOUN
dem-4197	123	19	c	c	PROPN
dem-4197	123	20	and	and	CCONJ
dem-4197	123	21	d	d	NOUN
dem-4197	123	22	)	)	PUNCT
dem-4197	123	23	,	,	PUNCT
dem-4197	123	24	i.e.	i.e.	X
dem-4197	123	25	it	it	PRON
dem-4197	123	26	indicates	indicate	VERB
dem-4197	123	27	the	the	DET
dem-4197	123	28	substantial	substantial	ADJ
dem-4197	123	29	preference	preference	NOUN
dem-4197	123	30	for	for	ADP
dem-4197	123	31	the	the	DET
dem-4197	123	32	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	123	33	)	)	PUNCT
dem-4197	123	34	model	model	NOUN
dem-4197	123	35	(	(	PUNCT
dem-4197	123	36	negative	negative	ADJ
dem-4197	123	37	difference	difference	NOUN
dem-4197	123	38	in	in	ADP
dem-4197	123	39	ape_se	ape_se	PROPN
dem-4197	123	40	and	and	CCONJ
dem-4197	123	41	also	also	ADV
dem-4197	123	42	ape_ae	ape_ae	VERB
dem-4197	123	43	for	for	ADP
dem-4197	123	44	both	both	DET
dem-4197	123	45	models	model	NOUN
dem-4197	123	46	)	)	PUNCT
dem-4197	123	47	and	and	CCONJ
dem-4197	123	48	better	well	ADJ
dem-4197	123	49	predictive	predictive	ADJ
dem-4197	123	50	performance	performance	NOUN
dem-4197	123	51	(	(	PUNCT
dem-4197	123	52	smaller	small	ADJ
dem-4197	123	53	one	one	NUM
dem-4197	123	54	-	-	PUNCT
dem-4197	123	55	step	step	NOUN
dem-4197	123	56	-	-	PUNCT
dem-4197	123	57	ahead	ahead	NOUN
dem-4197	123	58	prediction	prediction	NOUN
dem-4197	123	59	errors	error	NOUN
dem-4197	123	60	)	)	PUNCT
dem-4197	123	61	almost	almost	ADV
dem-4197	123	62	in	in	ADP
dem-4197	123	63	entire	entire	ADJ
dem-4197	123	64	data	datum	NOUN
dem-4197	123	65	set	set	VERB
dem-4197	123	66	except	except	SCONJ
dem-4197	123	67	the	the	DET
dem-4197	123	68	2nd	2nd	ADJ
dem-4197	123	69	and	and	CCONJ
dem-4197	123	70	9th	9th	ADJ
dem-4197	123	71	observations	observation	NOUN
dem-4197	123	72	(	(	PUNCT
dem-4197	123	73	1960	1960	NUM
dem-4197	123	74	and	and	CCONJ
dem-4197	123	75	1968	1968	NUM
dem-4197	123	76	periods	period	NOUN
dem-4197	123	77	)	)	PUNCT
dem-4197	123	78	.	.	PUNCT
dem-4197	124	1	an	an	DET
dem-4197	124	2	alternative	alternative	ADJ
dem-4197	124	3	method	method	NOUN
dem-4197	124	4	in	in	ADP
dem-4197	124	5	assessing	assess	VERB
dem-4197	124	6	the	the	DET
dem-4197	124	7	performance	performance	NOUN
dem-4197	124	8	for	for	ADP
dem-4197	124	9	model	model	NOUN
dem-4197	124	10	selection	selection	NOUN
dem-4197	124	11	methods	method	NOUN
dem-4197	124	12	is	be	AUX
dem-4197	124	13	to	to	PART
dem-4197	124	14	quantify	quantify	VERB
dem-4197	124	15	their	their	PRON
dem-4197	124	16	predictive	predictive	ADJ
dem-4197	124	17	performance	performance	NOUN
dem-4197	124	18	through	through	ADP
dem-4197	124	19	a	a	DET
dem-4197	124	20	model	model	NOUN
dem-4197	124	21	metaselection	metaselection	NOUN
dem-4197	124	22	procedure	procedure	NOUN
dem-4197	124	23	.	.	PUNCT
dem-4197	125	1	the	the	DET
dem-4197	125	2	aim	aim	NOUN
dem-4197	125	3	of	of	ADP
dem-4197	125	4	this	this	DET
dem-4197	125	5	procedure	procedure	NOUN
dem-4197	125	6	is	be	AUX
dem-4197	125	7	to	to	PART
dem-4197	125	8	evaluate	evaluate	VERB
dem-4197	125	9	predictive	predictive	ADJ
dem-4197	125	10	value	value	NOUN
dem-4197	125	11	not	not	PART
dem-4197	125	12	of	of	ADP
dem-4197	125	13	the	the	DET
dem-4197	125	14	models	model	NOUN
dem-4197	125	15	(	(	PUNCT
dem-4197	125	16	e.g.	e.g.	ADV
dem-4197	125	17	arima	arima	NOUN
dem-4197	125	18	,	,	PUNCT
dem-4197	125	19	arma	arma	PROPN
dem-4197	125	20	)	)	PUNCT
dem-4197	125	21	,	,	PUNCT
dem-4197	125	22	but	but	CCONJ
dem-4197	125	23	the	the	DET
dem-4197	125	24	model	model	NOUN
dem-4197	125	25	selection	selection	NOUN
dem-4197	125	26	methods	method	NOUN
dem-4197	125	27	(	(	PUNCT
dem-4197	125	28	aic	aic	PROPN
dem-4197	125	29	,	,	PUNCT
dem-4197	125	30	bic	bic	PROPN
dem-4197	125	31	,	,	PUNCT
dem-4197	125	32	ape	ape	NOUN
dem-4197	125	33	)	)	PUNCT
dem-4197	125	34	.	.	PUNCT
dem-4197	126	1	just	just	ADV
dem-4197	126	2	as	as	SCONJ
dem-4197	126	3	in	in	ADP
dem-4197	126	4	the	the	DET
dem-4197	126	5	calculation	calculation	NOUN
dem-4197	126	6	of	of	ADP
dem-4197	126	7	ape	ape	NOUN
dem-4197	126	8	earlier	early	ADV
dem-4197	126	9	,	,	PUNCT
dem-4197	126	10	the	the	DET
dem-4197	126	11	meta	meta	ADJ
dem-4197	126	12	-	-	PUNCT
dem-4197	126	13	selection	selection	NOUN
dem-4197	126	14	procedure	procedure	NOUN
dem-4197	126	15	requires	require	VERB
dem-4197	126	16	to	to	PART
dem-4197	126	17	fit	fit	VERB
dem-4197	126	18	the	the	DET
dem-4197	126	19	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	126	20	)	)	PUNCT
dem-4197	126	21	and	and	CCONJ
dem-4197	126	22	t+ar(2	t+ar(2	PROPN
dem-4197	126	23	)	)	PUNCT
dem-4197	126	24	models	model	NOUN
dem-4197	126	25	(	(	PUNCT
dem-4197	126	26	in	in	ADP
dem-4197	126	27	above	above	ADP
dem-4197	126	28	case	case	NOUN
dem-4197	126	29	)	)	PUNCT
dem-4197	126	30	for	for	ADP
dem-4197	126	31	each	each	PRON
dem-4197	126	32	of	of	ADP
dem-4197	126	33	an	an	DET
dem-4197	126	34	increasing	increase	VERB
dem-4197	126	35	(	(	PUNCT
dem-4197	126	36	by	by	ADP
dem-4197	126	37	one	one	NUM
dem-4197	126	38	)	)	PUNCT
dem-4197	126	39	number	number	NOUN
dem-4197	126	40	of	of	ADP
dem-4197	126	41	observations	observation	NOUN
dem-4197	126	42	.	.	PUNCT
dem-4197	127	1	the	the	DET
dem-4197	127	2	predictive	predictive	ADJ
dem-4197	127	3	value	value	NOUN
dem-4197	127	4	of	of	ADP
dem-4197	127	5	,	,	PUNCT
dem-4197	127	6	say	say	VERB
dem-4197	127	7	aic	aic	PROPN
dem-4197	127	8	,	,	PUNCT
dem-4197	127	9	is	be	AUX
dem-4197	127	10	then	then	ADV
dem-4197	127	11	quantified	quantify	VERB
dem-4197	127	12	by	by	ADP
dem-4197	127	13	the	the	DET
dem-4197	127	14	accumulative	accumulative	ADJ
dem-4197	127	15	prediction	prediction	NOUN
dem-4197	127	16	error	error	NOUN
dem-4197	127	17	for	for	ADP
dem-4197	127	18	the	the	DET
dem-4197	127	19	models	model	NOUN
dem-4197	127	20	chosen	choose	VERB
dem-4197	127	21	by	by	ADP
dem-4197	127	22	aic	aic	PROPN
dem-4197	127	23	.	.	PUNCT
dem-4197	128	1	for	for	ADP
dem-4197	128	2	instance	instance	NOUN
dem-4197	128	3	,	,	PUNCT
dem-4197	128	4	suppose	suppose	VERB
dem-4197	128	5	that	that	SCONJ
dem-4197	128	6	for	for	ADP
dem-4197	128	7	a	a	DET
dem-4197	128	8	particular	particular	ADJ
dem-4197	128	9	time	time	NOUN
dem-4197	128	10	series	series	NOUN
dem-4197	128	11	,	,	PUNCT
dem-4197	128	12	aic	aic	PROPN
dem-4197	128	13	prefers	prefer	VERB
dem-4197	128	14	the	the	DET
dem-4197	128	15	arima	arima	PROPN
dem-4197	128	16	model	model	NOUN
dem-4197	128	17	up	up	ADP
dem-4197	128	18	until	until	SCONJ
dem-4197	128	19	the	the	DET
dem-4197	128	20	data	data	NOUN
dem-4197	128	21	set	set	NOUN
dem-4197	128	22	has	have	AUX
dem-4197	128	23	increased	increase	VERB
dem-4197	128	24	to	to	ADP
dem-4197	128	25	n	n	NOUN
dem-4197	128	26	=	=	NUM
dem-4197	128	27	20	20	NUM
dem-4197	128	28	,	,	PUNCT
dem-4197	128	29	after	after	ADP
dem-4197	128	30	which	which	PRON
dem-4197	128	31	aic	aic	PROPN
dem-4197	128	32	starts	start	VERB
dem-4197	128	33	to	to	PART
dem-4197	128	34	prefer	prefer	VERB
dem-4197	128	35	the	the	DET
dem-4197	128	36	t+ar(q	t+ar(q	NOUN
dem-4197	128	37	)	)	PUNCT
dem-4197	128	38	model	model	NOUN
dem-4197	128	39	.	.	PUNCT
dem-4197	129	1	then	then	ADV
dem-4197	129	2	the	the	DET
dem-4197	129	3	accumulative	accumulative	ADJ
dem-4197	129	4	prediction	prediction	NOUN
dem-4197	129	5	error	error	NOUN
dem-4197	129	6	for	for	ADP
dem-4197	129	7	the	the	DET
dem-4197	129	8	aic	aic	PROPN
dem-4197	129	9	model	model	NOUN
dem-4197	129	10	selection	selection	NOUN
dem-4197	129	11	procedure	procedure	NOUN
dem-4197	129	12	is	be	AUX
dem-4197	129	13	a	a	DET
dem-4197	129	14	sum	sum	NOUN
dem-4197	129	15	of	of	ADP
dem-4197	129	16	the	the	DET
dem-4197	129	17	prediction	prediction	NOUN
dem-4197	129	18	errors	error	NOUN
dem-4197	129	19	made	make	VERB
dem-4197	129	20	by	by	ADP
dem-4197	129	21	the	the	DET
dem-4197	129	22	arima	arima	PROPN
dem-4197	129	23	and	and	CCONJ
dem-4197	129	24	t+ar(q	t+ar(q	NOUN
dem-4197	129	25	)	)	PUNCT
dem-4197	129	26	models	model	NOUN
dem-4197	129	27	(	(	PUNCT
dem-4197	129	28	for	for	ADP
dem-4197	129	29	the	the	DET
dem-4197	129	30	first	first	ADJ
dem-4197	129	31	and	and	CCONJ
dem-4197	129	32	second	second	ADJ
dem-4197	129	33	half	half	NOUN
dem-4197	129	34	of	of	ADP
dem-4197	129	35	the	the	DET
dem-4197	129	36	time	time	NOUN
dem-4197	129	37	series	series	NOUN
dem-4197	129	38	respectively	respectively	ADV
dem-4197	129	39	)	)	PUNCT
dem-4197	129	40	.	.	PUNCT
dem-4197	130	1	having	having	AUX
dem-4197	130	2	calculated	calculate	VERB
dem-4197	130	3	the	the	DET
dem-4197	130	4	difference	difference	NOUN
dem-4197	130	5	in	in	ADP
dem-4197	130	6	ape	ape	NOUN
dem-4197	130	7	for	for	ADP
dem-4197	130	8	different	different	ADJ
dem-4197	130	9	model	model	NOUN
dem-4197	130	10	selection	selection	NOUN
dem-4197	130	11	procedures	procedure	NOUN
dem-4197	130	12	(	(	PUNCT
dem-4197	130	13	strategies	strategy	NOUN
dem-4197	130	14	)	)	PUNCT
dem-4197	130	15	,	,	PUNCT
dem-4197	130	16	the	the	DET
dem-4197	130	17	relative	relative	ADJ
dem-4197	130	18	value	value	NOUN
dem-4197	130	19	of	of	ADP
dem-4197	130	20	model	model	NOUN
dem-4197	130	21	selection	selection	NOUN
dem-4197	130	22	tools	tool	NOUN
dem-4197	130	23	as	as	SCONJ
dem-4197	130	24	e.g.	e.g.	ADV
dem-4197	130	25	aic	aic	PROPN
dem-4197	130	26	is	be	AUX
dem-4197	130	27	obtained	obtain	VERB
dem-4197	130	28	.	.	PUNCT
dem-4197	131	1	figure	figure	VERB
dem-4197	131	2	3	3	NUM
dem-4197	131	3	depicts	depict	VERB
dem-4197	131	4	the	the	DET
dem-4197	131	5	differences	difference	NOUN
dem-4197	131	6	in	in	ADP
dem-4197	131	7	accumulated	accumulate	VERB
dem-4197	131	8	prediction	prediction	NOUN
dem-4197	131	9	errors	error	NOUN
dem-4197	131	10	(	(	PUNCT
dem-4197	131	11	ape	ape	NOUN
dem-4197	131	12	)	)	PUNCT
dem-4197	131	13	for	for	ADP
dem-4197	131	14	various	various	ADJ
dem-4197	131	15	model	model	NOUN
dem-4197	131	16	selection	selection	NOUN
dem-4197	131	17	procedures	procedure	NOUN
dem-4197	131	18	,	,	PUNCT
dem-4197	131	19	i.e.	i.e.	X
dem-4197	131	20	aic	aic	PROPN
dem-4197	131	21	,	,	PUNCT
dem-4197	131	22	bic	bic	PROPN
dem-4197	131	23	,	,	PUNCT
dem-4197	131	24	ape_se	ape_se	PROPN
dem-4197	131	25	,	,	PUNCT
dem-4197	131	26	ape_ae	ape_ae	NUM
dem-4197	131	27	.	.	PUNCT
dem-4197	132	1	for	for	ADP
dem-4197	132	2	particular	particular	ADJ
dem-4197	132	3	time	time	NOUN
dem-4197	132	4	series	series	PROPN
dem-4197	132	5	(	(	PUNCT
dem-4197	132	6	gdp	gdp	NOUN
dem-4197	132	7	in	in	ADP
dem-4197	132	8	france	france	PROPN
dem-4197	132	9	)	)	PUNCT
dem-4197	132	10	panel	panel	NOUN
dem-4197	132	11	a	a	PRON
dem-4197	132	12	in	in	ADP
dem-4197	132	13	figure	figure	NOUN
dem-4197	132	14	3	3	NUM
dem-4197	132	15	demonstrates	demonstrate	VERB
dem-4197	132	16	that	that	SCONJ
dem-4197	132	17	the	the	DET
dem-4197	132	18	use	use	NOUN
dem-4197	132	19	of	of	ADP
dem-4197	132	20	aic	aic	PROPN
dem-4197	132	21	for	for	ADP
dem-4197	132	22	model	model	NOUN
dem-4197	132	23	selection	selection	NOUN
dem-4197	132	24	results	result	NOUN
dem-4197	132	25	in	in	ADP
dem-4197	132	26	smaller	small	ADJ
dem-4197	132	27	one	one	NUM
dem-4197	132	28	-	-	PUNCT
dem-4197	132	29	step	step	NOUN
dem-4197	132	30	-	-	PUNCT
dem-4197	132	31	ahead	ahead	NOUN
dem-4197	132	32	prediction	prediction	NOUN
dem-4197	132	33	error	error	NOUN
dem-4197	132	34	than	than	ADP
dem-4197	132	35	the	the	DET
dem-4197	132	36	use	use	NOUN
dem-4197	132	37	of	of	ADP
dem-4197	132	38	bic	bic	PROPN
dem-4197	132	39	(	(	PUNCT
dem-4197	132	40	because	because	SCONJ
dem-4197	132	41	the	the	DET
dem-4197	132	42	difference	difference	NOUN
dem-4197	132	43	in	in	ADP
dem-4197	132	44	ape_se	ape_se	PROPN
dem-4197	132	45	for	for	ADP
dem-4197	132	46	aic	aic	PROPN
dem-4197	132	47	and	and	CCONJ
dem-4197	132	48	bic	bic	PROPN
dem-4197	132	49	model	model	NOUN
dem-4197	132	50	selection	selection	NOUN
dem-4197	132	51	methods	method	NOUN
dem-4197	132	52	(	(	PUNCT
dem-4197	132	53	ape_se(aic)-ape_se(bic	ape_se(aic)-ape_se(bic	ADJ
dem-4197	132	54	)	)	PUNCT
dem-4197	132	55	)	)	PUNCT
dem-4197	132	56	is	be	AUX
dem-4197	132	57	negative)12	negative)12	NOUN
dem-4197	132	58	.	.	PUNCT
dem-4197	133	1	note	note	VERB
dem-4197	133	2	that	that	SCONJ
dem-4197	133	3	horizontal	horizontal	ADJ
dem-4197	133	4	stretches	stretch	NOUN
dem-4197	133	5	in	in	ADP
dem-4197	133	6	figure	figure	NOUN
dem-4197	133	7	3	3	NUM
dem-4197	133	8	indicate	indicate	VERB
dem-4197	133	9	that	that	SCONJ
dem-4197	133	10	the	the	DET
dem-4197	133	11	difference	difference	NOUN
dem-4197	133	12	in	in	ADP
dem-4197	133	13	accumulated	accumulate	VERB
dem-4197	133	14	prediction	prediction	NOUN
dem-4197	133	15	errors	error	NOUN
dem-4197	133	16	between	between	ADP
dem-4197	133	17	two	two	NUM
dem-4197	133	18	model	model	NOUN
dem-4197	133	19	selection	selection	NOUN
dem-4197	133	20	strategies	strategy	NOUN
dem-4197	133	21	does	do	AUX
dem-4197	133	22	not	not	PART
dem-4197	133	23	change	change	VERB
dem-4197	133	24	(	(	PUNCT
dem-4197	133	25	e.g.	e.g.	ADV
dem-4197	133	26	aic	aic	PROPN
dem-4197	133	27	and	and	CCONJ
dem-4197	133	28	bic	bic	PROPN
dem-4197	133	29	,	,	PUNCT
dem-4197	133	30	panel	panel	NOUN
dem-4197	133	31	a	a	PRON
dem-4197	133	32	)	)	PUNCT
dem-4197	133	33	.	.	PUNCT
dem-4197	134	1	this	this	PRON
dem-4197	134	2	occurs	occur	VERB
dem-4197	134	3	when	when	SCONJ
dem-4197	134	4	two	two	NUM
dem-4197	134	5	model	model	NOUN
dem-4197	134	6	selection	selection	NOUN
dem-4197	134	7	strategies	strategy	NOUN
dem-4197	134	8	prefer	prefer	VERB
dem-4197	134	9	the	the	DET
dem-4197	134	10	same	same	ADJ
dem-4197	134	11	model	model	NOUN
dem-4197	134	12	.	.	PUNCT
dem-4197	135	1	the	the	DET
dem-4197	135	2	results	result	NOUN
dem-4197	135	3	are	be	AUX
dem-4197	135	4	about	about	ADV
dem-4197	135	5	the	the	DET
dem-4197	135	6	same	same	ADJ
dem-4197	135	7	when	when	SCONJ
dem-4197	135	8	the	the	DET
dem-4197	135	9	absolute	absolute	ADJ
dem-4197	135	10	error	error	NOUN
dem-4197	135	11	(	(	PUNCT
dem-4197	135	12	ae	ae	PROPN
dem-4197	135	13	)	)	PUNCT
dem-4197	135	14	was	be	AUX
dem-4197	135	15	used	use	VERB
dem-4197	135	16	as	as	ADP
dem-4197	135	17	a	a	DET
dem-4197	135	18	loss	loss	NOUN
dem-4197	135	19	function	function	NOUN
dem-4197	135	20	(	(	PUNCT
dem-4197	135	21	panel	panel	NOUN
dem-4197	135	22	d	d	NOUN
dem-4197	135	23	)	)	PUNCT
dem-4197	135	24	.	.	PUNCT
dem-4197	136	1	12	12	NUM
dem-4197	136	2	the	the	DET
dem-4197	136	3	abbreviation	abbreviation	NOUN
dem-4197	136	4	,	,	PUNCT
dem-4197	136	5	e.g.	e.g.	ADV
dem-4197	136	6	ape_se(aic	ape_se(aic	X
dem-4197	136	7	)	)	PUNCT
dem-4197	136	8	stands	stand	VERB
dem-4197	136	9	for	for	ADP
dem-4197	136	10	the	the	DET
dem-4197	136	11	accumulated	accumulate	VERB
dem-4197	136	12	prediction	prediction	NOUN
dem-4197	136	13	error	error	NOUN
dem-4197	136	14	(	(	PUNCT
dem-4197	136	15	with	with	ADP
dem-4197	136	16	squared	square	VERB
dem-4197	136	17	error	error	NOUN
dem-4197	136	18	,	,	PUNCT
dem-4197	136	19	se	se	X
dem-4197	136	20	,	,	PUNCT
dem-4197	136	21	as	as	ADP
dem-4197	136	22	a	a	DET
dem-4197	136	23	loss	loss	NOUN
dem-4197	136	24	function	function	NOUN
dem-4197	136	25	)	)	PUNCT
dem-4197	136	26	calculated	calculate	VERB
dem-4197	136	27	when	when	SCONJ
dem-4197	136	28	the	the	DET
dem-4197	136	29	aic	aic	PROPN
dem-4197	136	30	procedure	procedure	NOUN
dem-4197	136	31	was	be	AUX
dem-4197	136	32	used	use	VERB
dem-4197	136	33	to	to	PART
dem-4197	136	34	select	select	VERB
dem-4197	136	35	a	a	DET
dem-4197	136	36	model	model	NOUN
dem-4197	136	37	from	from	ADP
dem-4197	136	38	two	two	NUM
dem-4197	136	39	ones	one	NOUN
dem-4197	136	40	:	:	PUNCT
dem-4197	136	41	arima	arima	NOUN
dem-4197	136	42	or	or	CCONJ
dem-4197	136	43	t+ar(2	t+ar(2	PROPN
dem-4197	136	44	)	)	PUNCT
dem-4197	136	45	in	in	ADP
dem-4197	136	46	the	the	DET
dem-4197	136	47	example	example	NOUN
dem-4197	136	48	at	at	ADP
dem-4197	136	49	hand	hand	NOUN
dem-4197	136	50	.	.	PUNCT
dem-4197	137	1	choosing	choose	VERB
dem-4197	137	2	a	a	DET
dem-4197	137	3	model	model	NOUN
dem-4197	137	4	and	and	CCONJ
dem-4197	137	5	model	model	NOUN
dem-4197	137	6	selection	selection	NOUN
dem-4197	137	7	strategy	strategy	NOUN
dem-4197	137	8	by	by	ADP
dem-4197	137	9	…	…	SYM
dem-4197	137	10	115	115	NUM
dem-4197	137	11	figure	figure	NOUN
dem-4197	137	12	3	3	NUM
dem-4197	137	13	.	.	PUNCT
dem-4197	137	14	model	model	NOUN
dem-4197	137	15	meta	meta	ADJ
dem-4197	137	16	-	-	PUNCT
dem-4197	137	17	selection	selection	NOUN
dem-4197	137	18	as	as	ADP
dem-4197	137	19	a	a	DET
dem-4197	137	20	function	function	NOUN
dem-4197	137	21	of	of	ADP
dem-4197	137	22	the	the	DET
dem-4197	137	23	number	number	NOUN
dem-4197	137	24	of	of	ADP
dem-4197	137	25	observations	observation	NOUN
dem-4197	137	26	.	.	PUNCT
dem-4197	138	1	each	each	DET
dem-4197	138	2	panels	panel	NOUN
dem-4197	138	3	shows	show	VERB
dem-4197	138	4	the	the	DET
dem-4197	138	5	difference	difference	NOUN
dem-4197	138	6	in	in	ADP
dem-4197	138	7	ape	ape	NOUN
dem-4197	138	8	for	for	ADP
dem-4197	138	9	pairs	pair	NOUN
dem-4197	138	10	of	of	ADP
dem-4197	138	11	various	various	ADJ
dem-4197	138	12	model	model	NOUN
dem-4197	138	13	selection	selection	NOUN
dem-4197	138	14	methods	method	NOUN
dem-4197	138	15	:	:	PUNCT
dem-4197	138	16	aic	aic	PROPN
dem-4197	138	17	,	,	PUNCT
dem-4197	138	18	bic	bic	PROPN
dem-4197	138	19	,	,	PUNCT
dem-4197	138	20	ape_se	ape_se	X
dem-4197	138	21	and	and	CCONJ
dem-4197	138	22	ape_ae	ape_ae	X
dem-4197	138	23	for	for	ADP
dem-4197	138	24	gdp	gdp	NOUN
dem-4197	138	25	in	in	ADP
dem-4197	138	26	france	france	PROPN
dem-4197	138	27	comparing	compare	VERB
dem-4197	138	28	the	the	DET
dem-4197	138	29	performance	performance	NOUN
dem-4197	138	30	for	for	ADP
dem-4197	138	31	pairs	pair	NOUN
dem-4197	138	32	of	of	ADP
dem-4197	138	33	model	model	NOUN
dem-4197	138	34	selection	selection	NOUN
dem-4197	138	35	strategies	strategy	NOUN
dem-4197	138	36	,	,	PUNCT
dem-4197	138	37	i.e.	i.e.	X
dem-4197	138	38	aic	aic	PROPN
dem-4197	138	39	and	and	CCONJ
dem-4197	138	40	ape_se	ape_se	PROPN
dem-4197	138	41	,	,	PUNCT
dem-4197	138	42	bic	bic	PROPN
dem-4197	138	43	and	and	CCONJ
dem-4197	138	44	ape_se	ape_se	PROPN
dem-4197	139	1	(	(	PUNCT
dem-4197	139	2	panel	panel	NOUN
dem-4197	139	3	b	b	PROPN
dem-4197	139	4	and	and	CCONJ
dem-4197	139	5	c	c	NOUN
dem-4197	139	6	,	,	PUNCT
dem-4197	139	7	figure	figure	VERB
dem-4197	139	8	3	3	NUM
dem-4197	139	9	)	)	PUNCT
dem-4197	139	10	evidently	evidently	ADV
dem-4197	139	11	smaller	small	ADJ
dem-4197	139	12	prediction	prediction	NOUN
dem-4197	139	13	error	error	NOUN
dem-4197	139	14	are	be	AUX
dem-4197	139	15	obtained	obtain	VERB
dem-4197	139	16	when	when	SCONJ
dem-4197	139	17	the	the	DET
dem-4197	139	18	ape_se	ape_se	NOUN
dem-4197	139	19	strategy	strategy	NOUN
dem-4197	139	20	was	be	AUX
dem-4197	139	21	used	use	VERB
dem-4197	139	22	to	to	PART
dem-4197	139	23	select	select	VERB
dem-4197	139	24	a	a	DET
dem-4197	139	25	model	model	NOUN
dem-4197	139	26	than	than	ADP
dem-4197	139	27	aic	aic	PROPN
dem-4197	139	28	and	and	CCONJ
dem-4197	139	29	bic	bic	PROPN
dem-4197	139	30	strategies13	strategies13	NOUN
dem-4197	139	31	.	.	PUNCT
dem-4197	140	1	similar	similar	ADJ
dem-4197	140	2	results	result	NOUN
dem-4197	140	3	are	be	AUX
dem-4197	140	4	observed	observe	VERB
dem-4197	140	5	when	when	SCONJ
dem-4197	140	6	the	the	DET
dem-4197	140	7	absolute	absolute	ADJ
dem-4197	140	8	error	error	NOUN
dem-4197	140	9	was	be	AUX
dem-4197	140	10	taken	take	VERB
dem-4197	140	11	as	as	ADP
dem-4197	140	12	a	a	DET
dem-4197	140	13	loss	loss	NOUN
dem-4197	140	14	function	function	NOUN
dem-4197	140	15	(	(	PUNCT
dem-4197	140	16	panel	panel	NOUN
dem-4197	140	17	e	e	NOUN
dem-4197	140	18	and	and	CCONJ
dem-4197	140	19	f	f	NUM
dem-4197	140	20	)	)	PUNCT
dem-4197	140	21	except	except	SCONJ
dem-4197	140	22	first	first	ADJ
dem-4197	140	23	ten	ten	NUM
dem-4197	140	24	periods	period	NOUN
dem-4197	140	25	when	when	SCONJ
dem-4197	140	26	the	the	DET
dem-4197	140	27	difference	difference	NOUN
dem-4197	140	28	in	in	ADP
dem-4197	140	29	ape_ae	ape_ae	X
dem-4197	140	30	is	be	AUX
dem-4197	140	31	constant	constant	ADJ
dem-4197	140	32	what	what	PRON
dem-4197	140	33	denotes	denote	VERB
dem-4197	140	34	that	that	SCONJ
dem-4197	140	35	both	both	DET
dem-4197	140	36	strategies	strategy	NOUN
dem-4197	140	37	(	(	PUNCT
dem-4197	140	38	aic	aic	PROPN
dem-4197	140	39	vs.	vs.	X
dem-4197	140	40	ape_ae	ape_ae	NUM
dem-4197	140	41	and	and	CCONJ
dem-4197	140	42	bic	bic	PROPN
dem-4197	140	43	vs.	vs.	X
dem-4197	140	44	ape_ae	ape_ae	X
dem-4197	140	45	)	)	PUNCT
dem-4197	140	46	perform	perform	VERB
dem-4197	140	47	about	about	ADV
dem-4197	140	48	the	the	DET
dem-4197	140	49	same	same	ADJ
dem-4197	140	50	.	.	PUNCT
dem-4197	141	1	generally	generally	ADV
dem-4197	141	2	,	,	PUNCT
dem-4197	141	3	the	the	DET
dem-4197	141	4	use	use	NOUN
dem-4197	141	5	of	of	ADP
dem-4197	141	6	ape_se	ape_se	PROPN
dem-4197	141	7	(	(	PUNCT
dem-4197	141	8	or	or	CCONJ
dem-4197	141	9	ape_ae	ape_ae	NUM
dem-4197	141	10	)	)	PUNCT
dem-4197	141	11	strategy	strategy	NOUN
dem-4197	141	12	leads	lead	VERB
dem-4197	141	13	to	to	ADP
dem-4197	141	14	smaller	small	ADJ
dem-4197	141	15	accumulated	accumulate	VERB
dem-4197	141	16	prediction	prediction	NOUN
dem-4197	141	17	error	error	NOUN
dem-4197	141	18	than	than	ADP
dem-4197	141	19	aic	aic	PROPN
dem-4197	141	20	or	or	CCONJ
dem-4197	141	21	bic	bic	PROPN
dem-4197	141	22	strategy	strategy	NOUN
dem-4197	141	23	.	.	PUNCT
dem-4197	142	1	13	13	NUM
dem-4197	143	1	the	the	DET
dem-4197	143	2	differences	difference	NOUN
dem-4197	143	3	ape_se(aic)-ape_se(ape_se	ape_se(aic)-ape_se(ape_se	NUM
dem-4197	143	4	)	)	PUNCT
dem-4197	143	5	are	be	AUX
dem-4197	143	6	positive	positive	ADJ
dem-4197	143	7	in	in	ADP
dem-4197	143	8	entire	entire	ADJ
dem-4197	143	9	data	datum	NOUN
dem-4197	143	10	set	set	VERB
dem-4197	143	11	what	what	PRON
dem-4197	143	12	leads	lead	VERB
dem-4197	143	13	to	to	ADP
dem-4197	143	14	a	a	DET
dem-4197	143	15	preference	preference	NOUN
dem-4197	143	16	of	of	ADP
dem-4197	143	17	ape_se	ape_se	NOUN
dem-4197	143	18	strategy	strategy	NOUN
dem-4197	143	19	.	.	PUNCT
dem-4197	144	1	‐2,0e+08	‐2,0e+08	PUNCT
dem-4197	144	2	‐1,0e+08	‐1,0e+08	NUM
dem-4197	144	3	0,0e+00	0,0e+00	NUM
dem-4197	144	4	1,0e+08	1,0e+08	NUM
dem-4197	144	5	1	1	NUM
dem-4197	144	6	11	11	NUM
dem-4197	144	7	21	21	NUM
dem-4197	144	8	31	31	NUM
dem-4197	144	9	41	41	NUM
dem-4197	144	10	a	a	DET
dem-4197	144	11	pe	pe	NOUN
dem-4197	145	1	_	_	NOUN
dem-4197	145	2	s	s	PART
dem-4197	145	3	e	e	NOUN
dem-4197	145	4	(	(	PUNCT
dem-4197	145	5	a	a	DET
dem-4197	145	6	ic	ic	PROPN
dem-4197	145	7	)	)	PUNCT
dem-4197	145	8	‐	‐	ADV
dem-4197	145	9	a	a	DET
dem-4197	145	10	pe	pe	NOUN
dem-4197	146	1	_	_	NOUN
dem-4197	146	2	s	s	PART
dem-4197	146	3	e	e	NOUN
dem-4197	146	4	(	(	PUNCT
dem-4197	146	5	bi	bi	NOUN
dem-4197	146	6	c	c	PROPN
dem-4197	146	7	)	)	PUNCT
dem-4197	146	8	n	n	PRON
dem-4197	146	9	a	a	X
dem-4197	146	10	)	)	PUNCT
dem-4197	146	11	                	                	SPACE
dem-4197	146	12	aic	aic	PROPN
dem-4197	146	13	 	 	SPACE
dem-4197	146	14	vs.	vs.	PROPN
dem-4197	146	15	 	 	SPACE
dem-4197	146	16	bic	bic	NOUN
dem-4197	146	17	0,0e+00	0,0e+00	NUM
dem-4197	146	18	5,0e+08	5,0e+08	NUM
dem-4197	146	19	1,0e+09	1,0e+09	NUM
dem-4197	146	20	1,5e+09	1,5e+09	NUM
dem-4197	146	21	1	1	NUM
dem-4197	146	22	11	11	NUM
dem-4197	146	23	21	21	NUM
dem-4197	146	24	31	31	NUM
dem-4197	146	25	41	41	NUM
dem-4197	146	26	a	a	DET
dem-4197	146	27	pe	pe	NOUN
dem-4197	147	1	_	_	NOUN
dem-4197	147	2	s	s	PART
dem-4197	147	3	e	e	NOUN
dem-4197	147	4	(	(	PUNCT
dem-4197	147	5	a	a	DET
dem-4197	147	6	ic	ic	PROPN
dem-4197	147	7	)	)	PUNCT
dem-4197	147	8	‐	‐	ADV
dem-4197	147	9	a	a	DET
dem-4197	147	10	pe	pe	NOUN
dem-4197	148	1	_	_	NOUN
dem-4197	148	2	s	s	PART
dem-4197	148	3	e	e	NOUN
dem-4197	148	4	(	(	PUNCT
dem-4197	148	5	a	a	PRON
dem-4197	148	6	pe	pe	NOUN
dem-4197	149	1	_	_	NOUN
dem-4197	149	2	s	s	NOUN
dem-4197	149	3	e	e	NOUN
dem-4197	149	4	n	n	PROPN
dem-4197	149	5	b	b	NOUN
dem-4197	149	6	)	)	PUNCT
dem-4197	149	7	             	             	SPACE
dem-4197	149	8	aic	aic	PROPN
dem-4197	149	9	 	 	SPACE
dem-4197	149	10	vs.	vs.	PROPN
dem-4197	149	11	 	 	SPACE
dem-4197	149	12	ape_se	ape_se	X
dem-4197	150	1	0,0e+00	0,0e+00	NUM
dem-4197	150	2	5,0e+08	5,0e+08	NUM
dem-4197	150	3	1,0e+09	1,0e+09	NUM
dem-4197	150	4	1,5e+09	1,5e+09	NUM
dem-4197	150	5	1	1	NUM
dem-4197	150	6	11	11	NUM
dem-4197	150	7	21	21	NUM
dem-4197	150	8	31	31	NUM
dem-4197	150	9	41	41	NUM
dem-4197	150	10	a	a	DET
dem-4197	150	11	pe	pe	NOUN
dem-4197	151	1	_	_	NOUN
dem-4197	151	2	s	s	PART
dem-4197	151	3	e	e	NOUN
dem-4197	151	4	(	(	PUNCT
dem-4197	151	5	bi	bi	NOUN
dem-4197	151	6	c	c	PROPN
dem-4197	151	7	)	)	PUNCT
dem-4197	151	8	‐	‐	ADP
dem-4197	151	9	a	a	DET
dem-4197	151	10	pe	pe	NOUN
dem-4197	152	1	_	_	NOUN
dem-4197	152	2	s	s	PART
dem-4197	152	3	e	e	NOUN
dem-4197	152	4	(	(	PUNCT
dem-4197	152	5	a	a	PRON
dem-4197	152	6	pe	pe	X
dem-4197	153	1	_	_	NOUN
dem-4197	153	2	s	s	PART
dem-4197	153	3	e	e	NOUN
dem-4197	153	4	)	)	PUNCT
dem-4197	153	5	n	n	PRON
dem-4197	153	6	c	c	NOUN
dem-4197	153	7	)	)	PUNCT
dem-4197	153	8	                	                	SPACE
dem-4197	153	9	bic	bic	PROPN
dem-4197	153	10	 	 	SPACE
dem-4197	153	11	vs.	vs.	NOUN
dem-4197	153	12	 	 	SPACE
dem-4197	153	13	ape_se	ape_se	PROPN
dem-4197	153	14	‐15000	‐15000	PROPN
dem-4197	153	15	‐10000	‐10000	PROPN
dem-4197	153	16	‐5000	‐5000	NOUN
dem-4197	153	17	0	0	NUM
dem-4197	153	18	5000	5000	NUM
dem-4197	153	19	1	1	NUM
dem-4197	153	20	11	11	NUM
dem-4197	153	21	21	21	NUM
dem-4197	153	22	31	31	NUM
dem-4197	153	23	41	41	NUM
dem-4197	153	24	a	a	DET
dem-4197	153	25	pe	pe	X
dem-4197	153	26	_	_	PUNCT
dem-4197	153	27	a	a	DET
dem-4197	153	28	e	e	NOUN
dem-4197	153	29	(	(	PUNCT
dem-4197	153	30	a	a	DET
dem-4197	153	31	ic	ic	PROPN
dem-4197	153	32	)	)	PUNCT
dem-4197	153	33	‐	‐	ADV
dem-4197	153	34	a	a	DET
dem-4197	153	35	pe	pe	NOUN
dem-4197	153	36	_	_	NOUN
dem-4197	153	37	a	a	DET
dem-4197	153	38	e	e	NOUN
dem-4197	153	39	(	(	PUNCT
dem-4197	153	40	bi	bi	NOUN
dem-4197	153	41	c	c	PROPN
dem-4197	153	42	n	n	PROPN
dem-4197	153	43	d	d	PROPN
dem-4197	153	44	)	)	PUNCT
dem-4197	153	45	                 	                 	SPACE
dem-4197	153	46	aic	aic	PROPN
dem-4197	153	47	 	 	SPACE
dem-4197	153	48	vs.	vs.	PROPN
dem-4197	153	49	 	 	SPACE
dem-4197	153	50	bic	bic	PROPN
dem-4197	153	51	0	0	NUM
dem-4197	153	52	20000	20000	NUM
dem-4197	153	53	40000	40000	NUM
dem-4197	153	54	60000	60000	NUM
dem-4197	153	55	1	1	NUM
dem-4197	153	56	11	11	NUM
dem-4197	153	57	21	21	NUM
dem-4197	153	58	31	31	NUM
dem-4197	153	59	41	41	NUM
dem-4197	153	60	a	a	DET
dem-4197	153	61	pe	pe	X
dem-4197	153	62	_	_	PUNCT
dem-4197	153	63	a	a	DET
dem-4197	153	64	e	e	NOUN
dem-4197	153	65	(	(	PUNCT
dem-4197	153	66	a	a	DET
dem-4197	153	67	ic	ic	PROPN
dem-4197	153	68	)	)	PUNCT
dem-4197	153	69	‐	‐	ADV
dem-4197	153	70	a	a	DET
dem-4197	153	71	pe	pe	NOUN
dem-4197	153	72	_	_	NOUN
dem-4197	153	73	a	a	DET
dem-4197	153	74	e	e	NOUN
dem-4197	153	75	(	(	PUNCT
dem-4197	153	76	a	a	PRON
dem-4197	153	77	pe	pe	X
dem-4197	153	78	_	_	PUNCT
dem-4197	153	79	a	a	DET
dem-4197	153	80	e	e	NOUN
dem-4197	153	81	)	)	PUNCT
dem-4197	153	82	n	n	PRON
dem-4197	153	83	e	e	NOUN
dem-4197	153	84	)	)	PUNCT
dem-4197	153	85	               	               	SPACE
dem-4197	153	86	aic	aic	PROPN
dem-4197	153	87	 	 	SPACE
dem-4197	153	88	vs.	vs.	NOUN
dem-4197	153	89	 	 	SPACE
dem-4197	153	90	ape_ae	ape_ae	X
dem-4197	153	91	0	0	NUM
dem-4197	153	92	20000	20000	NUM
dem-4197	153	93	40000	40000	NUM
dem-4197	153	94	60000	60000	NUM
dem-4197	153	95	1	1	NUM
dem-4197	153	96	11	11	NUM
dem-4197	153	97	21	21	NUM
dem-4197	153	98	31	31	NUM
dem-4197	153	99	41	41	NUM
dem-4197	153	100	a	a	DET
dem-4197	153	101	pe	pe	X
dem-4197	153	102	_	_	PUNCT
dem-4197	153	103	a	a	DET
dem-4197	153	104	e	e	NOUN
dem-4197	153	105	(	(	PUNCT
dem-4197	153	106	bi	bi	NOUN
dem-4197	153	107	c	c	PROPN
dem-4197	153	108	)	)	PUNCT
dem-4197	153	109	‐	‐	ADP
dem-4197	153	110	a	a	DET
dem-4197	153	111	pe	pe	NOUN
dem-4197	153	112	_	_	NOUN
dem-4197	153	113	a	a	DET
dem-4197	153	114	e	e	NOUN
dem-4197	153	115	(	(	PUNCT
dem-4197	153	116	a	a	PRON
dem-4197	153	117	pe	pe	X
dem-4197	153	118	_	_	PUNCT
dem-4197	153	119	a	a	DET
dem-4197	153	120	e	e	NOUN
dem-4197	153	121	)	)	PUNCT
dem-4197	153	122	n	n	PRON
dem-4197	153	123	f	f	X
dem-4197	153	124	)	)	PUNCT
dem-4197	153	125	              	              	SPACE
dem-4197	153	126	bic	bic	PROPN
dem-4197	153	127	 	 	SPACE
dem-4197	153	128	vs.	vs.	NOUN
dem-4197	153	129	 	 	SPACE
dem-4197	153	130	ape_ae	ape_ae	X
dem-4197	153	131	mariola	mariola	PROPN
dem-4197	153	132	piłatowska	piłatowska	PROPN
dem-4197	153	133	116	116	NUM
dem-4197	153	134	figure	figure	NOUN
dem-4197	153	135	4	4	NUM
dem-4197	153	136	.	.	PUNCT
dem-4197	153	137	model	model	VERB
dem-4197	153	138	meta	meta	ADJ
dem-4197	153	139	-	-	PUNCT
dem-4197	153	140	selection	selection	NOUN
dem-4197	153	141	for	for	ADP
dem-4197	153	142	various	various	ADJ
dem-4197	153	143	model	model	NOUN
dem-4197	153	144	selection	selection	NOUN
dem-4197	153	145	methods	method	NOUN
dem-4197	153	146	:	:	PUNCT
dem-4197	153	147	aic	aic	PROPN
dem-4197	153	148	,	,	PUNCT
dem-4197	153	149	bic	bic	PROPN
dem-4197	153	150	,	,	PUNCT
dem-4197	153	151	ape_se	ape_se	X
dem-4197	153	152	and	and	CCONJ
dem-4197	153	153	ape_ae	ape_ae	X
dem-4197	153	154	for	for	ADP
dem-4197	153	155	gdp	gdp	NOUN
dem-4197	153	156	in	in	ADP
dem-4197	153	157	poland	poland	PROPN
dem-4197	153	158	for	for	ADP
dem-4197	153	159	another	another	DET
dem-4197	153	160	series	series	NOUN
dem-4197	153	161	,	,	PUNCT
dem-4197	153	162	gdp	gdp	NOUN
dem-4197	153	163	in	in	ADP
dem-4197	153	164	poland	poland	PROPN
dem-4197	153	165	,	,	PUNCT
dem-4197	153	166	the	the	DET
dem-4197	153	167	performance	performance	NOUN
dem-4197	153	168	of	of	ADP
dem-4197	153	169	aic	aic	PROPN
dem-4197	153	170	and	and	CCONJ
dem-4197	153	171	bic	bic	PROPN
dem-4197	153	172	strategies	strategy	NOUN
dem-4197	153	173	is	be	AUX
dem-4197	153	174	the	the	DET
dem-4197	153	175	same	same	ADJ
dem-4197	153	176	for	for	ADP
dem-4197	153	177	the	the	DET
dem-4197	153	178	first	first	ADJ
dem-4197	153	179	30	30	NUM
dem-4197	153	180	periods	period	NOUN
dem-4197	153	181	of	of	ADP
dem-4197	153	182	data	datum	NOUN
dem-4197	153	183	set	set	VERB
dem-4197	153	184	(	(	PUNCT
dem-4197	153	185	referring	refer	VERB
dem-4197	153	186	to	to	ADP
dem-4197	153	187	1960	1960	NUM
dem-4197	153	188	-	-	SYM
dem-4197	153	189	1990	1990	NUM
dem-4197	153	190	period	period	NOUN
dem-4197	153	191	)	)	PUNCT
dem-4197	153	192	because	because	SCONJ
dem-4197	153	193	the	the	DET
dem-4197	153	194	difference	difference	NOUN
dem-4197	153	195	ape_se(aic)-ape_se(bic	ape_se(aic)-ape_se(bic	ADJ
dem-4197	153	196	)	)	PUNCT
dem-4197	153	197	is	be	AUX
dem-4197	153	198	equal	equal	ADJ
dem-4197	153	199	to	to	ADP
dem-4197	153	200	zero	zero	NUM
dem-4197	153	201	(	(	PUNCT
dem-4197	153	202	figure	figure	NOUN
dem-4197	153	203	4	4	NUM
dem-4197	153	204	)	)	PUNCT
dem-4197	153	205	–	–	PUNCT
dem-4197	153	206	but	but	CCONJ
dem-4197	153	207	for	for	ADP
dem-4197	153	208	the	the	DET
dem-4197	153	209	rest	rest	NOUN
dem-4197	153	210	of	of	ADP
dem-4197	153	211	data	datum	NOUN
dem-4197	153	212	set	set	VERB
dem-4197	153	213	the	the	DET
dem-4197	153	214	use	use	NOUN
dem-4197	153	215	of	of	ADP
dem-4197	153	216	bic	bic	PROPN
dem-4197	153	217	strategy	strategy	NOUN
dem-4197	153	218	for	for	ADP
dem-4197	153	219	model	model	NOUN
dem-4197	153	220	selection	selection	NOUN
dem-4197	153	221	results	result	NOUN
dem-4197	153	222	in	in	ADP
dem-4197	153	223	relatively	relatively	ADV
dem-4197	153	224	smaller	small	ADJ
dem-4197	153	225	one	one	NUM
dem-4197	153	226	-	-	PUNCT
dem-4197	153	227	step	step	NOUN
dem-4197	153	228	-	-	PUNCT
dem-4197	153	229	ahead	ahead	NOUN
dem-4197	153	230	prediction	prediction	NOUN
dem-4197	153	231	errors	error	NOUN
dem-4197	153	232	than	than	ADP
dem-4197	153	233	in	in	ADP
dem-4197	153	234	the	the	DET
dem-4197	153	235	case	case	NOUN
dem-4197	153	236	of	of	ADP
dem-4197	153	237	aic	aic	PROPN
dem-4197	153	238	strategy	strategy	NOUN
dem-4197	153	239	(	(	PUNCT
dem-4197	153	240	panel	panel	NOUN
dem-4197	153	241	a	a	PRON
dem-4197	153	242	,	,	PUNCT
dem-4197	153	243	figure	figure	NOUN
dem-4197	153	244	4	4	NUM
dem-4197	153	245	)	)	PUNCT
dem-4197	153	246	,	,	PUNCT
dem-4197	153	247	because	because	SCONJ
dem-4197	153	248	the	the	DET
dem-4197	153	249	difference	difference	NOUN
dem-4197	153	250	in	in	ADP
dem-4197	153	251	ape_se	ape_se	PROPN
dem-4197	153	252	for	for	ADP
dem-4197	153	253	aic	aic	PROPN
dem-4197	153	254	and	and	CCONJ
dem-4197	153	255	bic	bic	PROPN
dem-4197	153	256	strategies	strategy	NOUN
dem-4197	153	257	is	be	AUX
dem-4197	153	258	positive	positive	ADJ
dem-4197	153	259	.	.	PUNCT
dem-4197	154	1	however	however	ADV
dem-4197	154	2	,	,	PUNCT
dem-4197	154	3	when	when	SCONJ
dem-4197	154	4	the	the	DET
dem-4197	154	5	absolute	absolute	ADJ
dem-4197	154	6	error	error	NOUN
dem-4197	154	7	(	(	PUNCT
dem-4197	154	8	ae	ae	PROPN
dem-4197	154	9	)	)	PUNCT
dem-4197	154	10	is	be	AUX
dem-4197	154	11	used	use	VERB
dem-4197	154	12	as	as	ADP
dem-4197	154	13	a	a	DET
dem-4197	154	14	loss	loss	NOUN
dem-4197	154	15	function	function	NOUN
dem-4197	154	16	,	,	PUNCT
dem-4197	154	17	the	the	DET
dem-4197	154	18	results	result	NOUN
dem-4197	154	19	are	be	AUX
dem-4197	154	20	opposite	opposite	ADJ
dem-4197	154	21	,	,	PUNCT
dem-4197	154	22	i.e.	i.e.	X
dem-4197	154	23	the	the	DET
dem-4197	154	24	strategy	strategy	NOUN
dem-4197	154	25	aic	aic	PROPN
dem-4197	154	26	is	be	AUX
dem-4197	154	27	to	to	PART
dem-4197	154	28	be	be	AUX
dem-4197	154	29	preferred	prefer	VERB
dem-4197	154	30	(	(	PUNCT
dem-4197	154	31	the	the	DET
dem-4197	154	32	difference	difference	NOUN
dem-4197	154	33	in	in	ADP
dem-4197	154	34	ape_ae	ape_ae	VERB
dem-4197	154	35	for	for	ADP
dem-4197	154	36	aic	aic	PROPN
dem-4197	154	37	and	and	CCONJ
dem-4197	154	38	bic	bic	PROPN
dem-4197	154	39	strategies	strategy	NOUN
dem-4197	154	40	is	be	AUX
dem-4197	154	41	negative	negative	ADJ
dem-4197	154	42	,	,	PUNCT
dem-4197	154	43	see	see	VERB
dem-4197	154	44	panel	panel	NOUN
dem-4197	154	45	d	d	NOUN
dem-4197	154	46	)	)	PUNCT
dem-4197	154	47	.	.	PUNCT
dem-4197	155	1	this	this	PRON
dem-4197	155	2	confirms	confirm	VERB
dem-4197	155	3	earlier	early	ADJ
dem-4197	155	4	conclusion	conclusion	NOUN
dem-4197	155	5	that	that	SCONJ
dem-4197	155	6	the	the	DET
dem-4197	155	7	choice	choice	NOUN
dem-4197	155	8	of	of	ADP
dem-4197	155	9	model	model	NOUN
dem-4197	155	10	as	as	ADV
dem-4197	155	11	well	well	ADV
dem-4197	155	12	the	the	DET
dem-4197	155	13	choice	choice	NOUN
dem-4197	155	14	of	of	ADP
dem-4197	155	15	model	model	NOUN
dem-4197	155	16	selection	selection	NOUN
dem-4197	155	17	strategy	strategy	NOUN
dem-4197	155	18	depends	depend	VERB
dem-4197	155	19	on	on	ADP
dem-4197	155	20	the	the	DET
dem-4197	155	21	form	form	NOUN
dem-4197	155	22	of	of	ADP
dem-4197	155	23	loss	loss	NOUN
dem-4197	155	24	function	function	NOUN
dem-4197	155	25	.	.	PUNCT
dem-4197	156	1	comparing	compare	VERB
dem-4197	156	2	the	the	DET
dem-4197	156	3	performance	performance	NOUN
dem-4197	156	4	for	for	ADP
dem-4197	156	5	pairs	pair	NOUN
dem-4197	156	6	of	of	ADP
dem-4197	156	7	model	model	NOUN
dem-4197	156	8	selection	selection	NOUN
dem-4197	156	9	strategies	strategy	NOUN
dem-4197	156	10	,	,	PUNCT
dem-4197	156	11	i.e.	i.e.	X
dem-4197	156	12	aic	aic	PROPN
dem-4197	156	13	and	and	CCONJ
dem-4197	156	14	ape_se	ape_se	PROPN
dem-4197	156	15	,	,	PUNCT
dem-4197	156	16	bic	bic	PROPN
dem-4197	156	17	and	and	CCONJ
dem-4197	156	18	ape_se	ape_se	PROPN
dem-4197	156	19	(	(	PUNCT
dem-4197	156	20	panel	panel	NOUN
dem-4197	156	21	b	b	PROPN
dem-4197	156	22	and	and	CCONJ
dem-4197	156	23	c	c	NOUN
dem-4197	156	24	,	,	PUNCT
dem-4197	156	25	figure	figure	VERB
dem-4197	156	26	4	4	NUM
dem-4197	156	27	)	)	PUNCT
dem-4197	156	28	results	result	VERB
dem-4197	156	29	that	that	SCONJ
dem-4197	156	30	the	the	DET
dem-4197	156	31	ape_se	ape_se	NOUN
dem-4197	156	32	strategy	strategy	NOUN
dem-4197	156	33	performs	perform	VERB
dem-4197	156	34	better	well	ADV
dem-4197	156	35	in	in	ADP
dem-4197	156	36	model	model	NOUN
dem-4197	156	37	selection	selection	NOUN
dem-4197	156	38	(	(	PUNCT
dem-4197	156	39	i.e.	i.e.	X
dem-4197	156	40	gives	give	VERB
dem-4197	156	41	smaller	small	ADJ
dem-4197	156	42	accumulated	accumulate	VERB
dem-4197	156	43	prediction	prediction	NOUN
dem-4197	156	44	errors	error	NOUN
dem-4197	156	45	)	)	PUNCT
dem-4197	156	46	than	than	ADP
dem-4197	156	47	aic	aic	PROPN
dem-4197	156	48	or	or	CCONJ
dem-4197	156	49	bic	bic	PROPN
dem-4197	156	50	strategy	strategy	NOUN
dem-4197	156	51	almost	almost	ADV
dem-4197	156	52	in	in	ADP
dem-4197	156	53	the	the	DET
dem-4197	156	54	entire	entire	ADJ
dem-4197	156	55	data	datum	NOUN
dem-4197	156	56	set	set	VERB
dem-4197	156	57	0,0e+00	0,0e+00	NUM
dem-4197	156	58	2,0e+07	2,0e+07	NUM
dem-4197	156	59	4,0e+07	4,0e+07	NUM
dem-4197	157	1	6,0e+07	6,0e+07	NUM
dem-4197	157	2	8,0e+07	8,0e+07	NUM
dem-4197	157	3	1	1	NUM
dem-4197	157	4	11	11	NUM
dem-4197	157	5	21	21	NUM
dem-4197	157	6	31	31	NUM
dem-4197	157	7	41	41	NUM
dem-4197	157	8	a	a	DET
dem-4197	157	9	pe	pe	NOUN
dem-4197	158	1	_	_	NOUN
dem-4197	158	2	s	s	PART
dem-4197	158	3	e	e	NOUN
dem-4197	158	4	(	(	PUNCT
dem-4197	158	5	a	a	DET
dem-4197	158	6	ic	ic	PROPN
dem-4197	158	7	)	)	PUNCT
dem-4197	158	8	‐	‐	ADV
dem-4197	158	9	a	a	DET
dem-4197	158	10	pe	pe	NOUN
dem-4197	159	1	_	_	NOUN
dem-4197	159	2	s	s	PART
dem-4197	159	3	e	e	NOUN
dem-4197	159	4	(	(	PUNCT
dem-4197	159	5	bi	bi	NOUN
dem-4197	159	6	c	c	PROPN
dem-4197	159	7	n	n	PROPN
dem-4197	159	8	a	a	X
dem-4197	159	9	)	)	PUNCT
dem-4197	159	10	                	                	SPACE
dem-4197	159	11	aic	aic	PROPN
dem-4197	159	12	 	 	SPACE
dem-4197	159	13	vs.	vs.	PROPN
dem-4197	159	14	 	 	SPACE
dem-4197	159	15	bic	bic	PROPN
dem-4197	159	16	‐1,0e+08	‐1,0e+08	PROPN
dem-4197	159	17	0,0e+00	0,0e+00	NUM
dem-4197	159	18	1,0e+08	1,0e+08	NUM
dem-4197	159	19	2,0e+08	2,0e+08	NUM
dem-4197	159	20	3,0e+08	3,0e+08	NUM
dem-4197	159	21	1	1	NUM
dem-4197	159	22	11	11	NUM
dem-4197	159	23	21	21	NUM
dem-4197	159	24	31	31	NUM
dem-4197	159	25	41	41	NUM
dem-4197	159	26	a	a	DET
dem-4197	159	27	pe	pe	NOUN
dem-4197	160	1	_	_	NOUN
dem-4197	160	2	s	s	PART
dem-4197	160	3	e	e	NOUN
dem-4197	160	4	(	(	PUNCT
dem-4197	160	5	a	a	DET
dem-4197	160	6	ic	ic	PROPN
dem-4197	160	7	)	)	PUNCT
dem-4197	160	8	‐	‐	ADV
dem-4197	160	9	a	a	DET
dem-4197	160	10	pe	pe	NOUN
dem-4197	161	1	_	_	NOUN
dem-4197	161	2	s	s	PART
dem-4197	161	3	e	e	NOUN
dem-4197	161	4	(	(	PUNCT
dem-4197	161	5	a	a	PRON
dem-4197	161	6	pe	pe	NOUN
dem-4197	162	1	_	_	NOUN
dem-4197	162	2	s	s	NOUN
dem-4197	162	3	e	e	NOUN
dem-4197	162	4	n	n	PROPN
dem-4197	162	5	b	b	NOUN
dem-4197	162	6	)	)	PUNCT
dem-4197	162	7	             	             	SPACE
dem-4197	162	8	aic	aic	PROPN
dem-4197	162	9	 	 	SPACE
dem-4197	162	10	vs.	vs.	NOUN
dem-4197	162	11	 	 	SPACE
dem-4197	162	12	ape_se	ape_se	PUNCT
dem-4197	163	1	‐1,0e+08	‐1,0e+08	NUM
dem-4197	163	2	0,0e+00	0,0e+00	NUM
dem-4197	163	3	1,0e+08	1,0e+08	NUM
dem-4197	163	4	2,0e+08	2,0e+08	NUM
dem-4197	163	5	1	1	NUM
dem-4197	163	6	11	11	NUM
dem-4197	163	7	21	21	NUM
dem-4197	163	8	31	31	NUM
dem-4197	163	9	41a	41a	NOUN
dem-4197	163	10	pe	pe	ADP
dem-4197	164	1	_	_	NOUN
dem-4197	164	2	s	s	PART
dem-4197	164	3	e	e	NOUN
dem-4197	164	4	(	(	PUNCT
dem-4197	164	5	bi	bi	NOUN
dem-4197	164	6	c	c	PROPN
dem-4197	164	7	)	)	PUNCT
dem-4197	164	8	‐	‐	ADP
dem-4197	164	9	a	a	DET
dem-4197	164	10	pe	pe	NOUN
dem-4197	165	1	_	_	NOUN
dem-4197	165	2	s	s	PART
dem-4197	165	3	e	e	NOUN
dem-4197	165	4	(	(	PUNCT
dem-4197	165	5	a	a	PRON
dem-4197	165	6	pe	pe	X
dem-4197	166	1	_	_	NOUN
dem-4197	166	2	s	s	PART
dem-4197	166	3	e	e	NOUN
dem-4197	166	4	)	)	PUNCT
dem-4197	166	5	n	n	PRON
dem-4197	166	6	c	c	NOUN
dem-4197	166	7	)	)	PUNCT
dem-4197	166	8	                	                	SPACE
dem-4197	166	9	bic	bic	PROPN
dem-4197	166	10	 	 	SPACE
dem-4197	166	11	vs.	vs.	NOUN
dem-4197	166	12	 	 	SPACE
dem-4197	166	13	ape_se	ape_se	NOUN
dem-4197	166	14	‐4000	‐4000	X
dem-4197	166	15	‐2000	‐2000	NOUN
dem-4197	166	16	0	0	NUM
dem-4197	166	17	2000	2000	NUM
dem-4197	166	18	1	1	NUM
dem-4197	166	19	11	11	NUM
dem-4197	166	20	21	21	NUM
dem-4197	166	21	31	31	NUM
dem-4197	166	22	41	41	NUM
dem-4197	166	23	a	a	DET
dem-4197	166	24	pe	pe	X
dem-4197	166	25	_	_	PUNCT
dem-4197	166	26	a	a	DET
dem-4197	166	27	e	e	NOUN
dem-4197	166	28	(	(	PUNCT
dem-4197	166	29	a	a	DET
dem-4197	166	30	ic	ic	PROPN
dem-4197	166	31	)	)	PUNCT
dem-4197	166	32	‐	‐	ADV
dem-4197	166	33	a	a	DET
dem-4197	166	34	pe	pe	NOUN
dem-4197	166	35	_	_	NOUN
dem-4197	166	36	a	a	DET
dem-4197	166	37	e	e	NOUN
dem-4197	166	38	(	(	PUNCT
dem-4197	166	39	bi	bi	NOUN
dem-4197	166	40	c	c	PROPN
dem-4197	166	41	)	)	PUNCT
dem-4197	166	42	n	n	PROPN
dem-4197	166	43	d	d	NOUN
dem-4197	166	44	)	)	PUNCT
dem-4197	166	45	               	               	SPACE
dem-4197	166	46	aic	aic	PROPN
dem-4197	166	47	 	 	SPACE
dem-4197	166	48	vs.	vs.	PROPN
dem-4197	166	49	 	 	SPACE
dem-4197	166	50	bic	bic	PROPN
dem-4197	166	51	‐10000	‐10000	PROPN
dem-4197	166	52	‐5000	‐5000	PROPN
dem-4197	166	53	0	0	NUM
dem-4197	166	54	5000	5000	NUM
dem-4197	166	55	10000	10000	NUM
dem-4197	166	56	15000	15000	NUM
dem-4197	166	57	1	1	NUM
dem-4197	166	58	11	11	NUM
dem-4197	166	59	21	21	NUM
dem-4197	166	60	31	31	NUM
dem-4197	166	61	41a	41a	NOUN
dem-4197	166	62	pe	pe	VERB
dem-4197	166	63	_	_	NOUN
dem-4197	166	64	a	a	DET
dem-4197	166	65	e	e	NOUN
dem-4197	166	66	(	(	PUNCT
dem-4197	166	67	a	a	DET
dem-4197	166	68	ic	ic	PROPN
dem-4197	166	69	)	)	PUNCT
dem-4197	166	70	‐	‐	ADV
dem-4197	166	71	a	a	DET
dem-4197	166	72	pe	pe	NOUN
dem-4197	166	73	_	_	NOUN
dem-4197	166	74	a	a	DET
dem-4197	166	75	e	e	NOUN
dem-4197	166	76	(	(	PUNCT
dem-4197	166	77	a	a	PRON
dem-4197	166	78	pe	pe	X
dem-4197	166	79	_	_	PUNCT
dem-4197	166	80	a	a	DET
dem-4197	166	81	e	e	NOUN
dem-4197	166	82	)	)	PUNCT
dem-4197	166	83	n	n	PRON
dem-4197	166	84	e	e	NOUN
dem-4197	166	85	)	)	PUNCT
dem-4197	166	86	              	              	SPACE
dem-4197	166	87	aic	aic	PROPN
dem-4197	166	88	 	 	SPACE
dem-4197	166	89	vs.	vs.	NOUN
dem-4197	166	90	 	 	SPACE
dem-4197	166	91	ape_ae	ape_ae	X
dem-4197	167	1	‐10000	‐10000	ADJ
dem-4197	167	2	‐5000	‐5000	NOUN
dem-4197	167	3	0	0	NUM
dem-4197	167	4	5000	5000	NUM
dem-4197	167	5	10000	10000	NUM
dem-4197	167	6	15000	15000	NUM
dem-4197	167	7	1	1	NUM
dem-4197	167	8	11	11	NUM
dem-4197	167	9	21	21	NUM
dem-4197	167	10	31	31	NUM
dem-4197	167	11	41a	41a	NOUN
dem-4197	167	12	pe	pe	VERB
dem-4197	167	13	_	_	NOUN
dem-4197	167	14	a	a	DET
dem-4197	167	15	e	e	NOUN
dem-4197	167	16	(	(	PUNCT
dem-4197	167	17	bi	bi	NOUN
dem-4197	167	18	c	c	PROPN
dem-4197	167	19	)	)	PUNCT
dem-4197	167	20	‐	‐	ADP
dem-4197	167	21	a	a	DET
dem-4197	167	22	pe	pe	NOUN
dem-4197	167	23	_	_	NOUN
dem-4197	167	24	a	a	DET
dem-4197	167	25	e	e	NOUN
dem-4197	167	26	(	(	PUNCT
dem-4197	167	27	a	a	PRON
dem-4197	167	28	pe	pe	X
dem-4197	167	29	_	_	PUNCT
dem-4197	167	30	a	a	DET
dem-4197	167	31	e	e	NOUN
dem-4197	167	32	)	)	PUNCT
dem-4197	167	33	n	n	PRON
dem-4197	167	34	f	f	X
dem-4197	167	35	)	)	PUNCT
dem-4197	167	36	              	              	SPACE
dem-4197	167	37	bic	bic	PROPN
dem-4197	167	38	 	 	SPACE
dem-4197	167	39	vs.	vs.	NOUN
dem-4197	167	40	 	 	SPACE
dem-4197	167	41	ape_ae	ape_ae	VERB
dem-4197	168	1	choosing	choose	VERB
dem-4197	168	2	a	a	DET
dem-4197	168	3	model	model	NOUN
dem-4197	168	4	and	and	CCONJ
dem-4197	168	5	model	model	NOUN
dem-4197	168	6	selection	selection	NOUN
dem-4197	168	7	strategy	strategy	NOUN
dem-4197	168	8	by	by	ADP
dem-4197	168	9	…	…	PUNCT
dem-4197	168	10	117	117	NUM
dem-4197	168	11	except	except	SCONJ
dem-4197	168	12	first	first	ADJ
dem-4197	168	13	15	15	NUM
dem-4197	168	14	periods	period	NOUN
dem-4197	168	15	(	(	PUNCT
dem-4197	168	16	1959	1959	NUM
dem-4197	168	17	-	-	SYM
dem-4197	168	18	1965	1965	NUM
dem-4197	168	19	period	period	NOUN
dem-4197	168	20	)	)	PUNCT
dem-4197	168	21	when	when	SCONJ
dem-4197	168	22	the	the	DET
dem-4197	168	23	difference	difference	NOUN
dem-4197	168	24	in	in	ADP
dem-4197	168	25	ape_se	ape_se	NOUN
dem-4197	168	26	for	for	ADP
dem-4197	168	27	various	various	ADJ
dem-4197	168	28	pairs	pair	NOUN
dem-4197	168	29	of	of	ADP
dem-4197	168	30	strategies	strategy	NOUN
dem-4197	168	31	(	(	PUNCT
dem-4197	168	32	aic	aic	PROPN
dem-4197	168	33	vs.	vs.	X
dem-4197	168	34	ape_se	ape_se	PROPN
dem-4197	168	35	and	and	CCONJ
dem-4197	168	36	bic	bic	PROPN
dem-4197	168	37	vs.	vs.	X
dem-4197	168	38	ape_se	ape_se	PROPN
dem-4197	168	39	)	)	PUNCT
dem-4197	168	40	are	be	AUX
dem-4197	168	41	negative	negative	ADJ
dem-4197	168	42	,	,	PUNCT
dem-4197	168	43	and	and	CCONJ
dem-4197	168	44	then	then	ADV
dem-4197	168	45	the	the	DET
dem-4197	168	46	aic	aic	PROPN
dem-4197	168	47	and	and	CCONJ
dem-4197	168	48	bic	bic	PROPN
dem-4197	168	49	strategies	strategy	NOUN
dem-4197	168	50	respectively	respectively	ADV
dem-4197	168	51	are	be	AUX
dem-4197	168	52	preferred	prefer	VERB
dem-4197	168	53	.	.	PUNCT
dem-4197	169	1	about	about	ADP
dem-4197	169	2	the	the	DET
dem-4197	169	3	same	same	ADJ
dem-4197	169	4	results	result	NOUN
dem-4197	169	5	are	be	AUX
dem-4197	169	6	obtained	obtain	VERB
dem-4197	169	7	when	when	SCONJ
dem-4197	169	8	the	the	DET
dem-4197	169	9	performance	performance	NOUN
dem-4197	169	10	of	of	ADP
dem-4197	169	11	aic	aic	PROPN
dem-4197	169	12	vs.	vs.	X
dem-4197	169	13	ape_ae	ape_ae	NUM
dem-4197	169	14	and	and	CCONJ
dem-4197	169	15	bic	bic	PROPN
dem-4197	169	16	vs.	vs.	X
dem-4197	169	17	ape_ae	ape_ae	X
dem-4197	169	18	is	be	AUX
dem-4197	169	19	compared	compare	VERB
dem-4197	169	20	(	(	PUNCT
dem-4197	169	21	panel	panel	NOUN
dem-4197	169	22	e	e	NOUN
dem-4197	169	23	and	and	CCONJ
dem-4197	169	24	f	f	PROPN
dem-4197	169	25	,	,	PUNCT
dem-4197	169	26	figure	figure	VERB
dem-4197	169	27	4	4	NUM
dem-4197	169	28	)	)	PUNCT
dem-4197	169	29	except	except	SCONJ
dem-4197	169	30	the	the	DET
dem-4197	169	31	end	end	NOUN
dem-4197	169	32	of	of	ADP
dem-4197	169	33	data	datum	NOUN
dem-4197	169	34	set	set	VERB
dem-4197	169	35	when	when	SCONJ
dem-4197	169	36	the	the	DET
dem-4197	169	37	relative	relative	ADJ
dem-4197	169	38	decrease	decrease	NOUN
dem-4197	169	39	for	for	ADP
dem-4197	169	40	support	support	NOUN
dem-4197	169	41	of	of	ADP
dem-4197	169	42	ape_ae	ape_ae	X
dem-4197	169	43	strategy	strategy	NOUN
dem-4197	169	44	is	be	AUX
dem-4197	169	45	noticed	notice	VERB
dem-4197	169	46	(	(	PUNCT
dem-4197	169	47	the	the	DET
dem-4197	169	48	difference	difference	NOUN
dem-4197	169	49	in	in	ADP
dem-4197	169	50	ape_ae	ape_ae	VERB
dem-4197	169	51	for	for	ADP
dem-4197	169	52	various	various	ADJ
dem-4197	169	53	pairs	pair	NOUN
dem-4197	169	54	of	of	ADP
dem-4197	169	55	strategies	strategy	NOUN
dem-4197	169	56	is	be	AUX
dem-4197	169	57	positive	positive	ADJ
dem-4197	169	58	,	,	PUNCT
dem-4197	169	59	but	but	CCONJ
dem-4197	169	60	decreasing	decrease	VERB
dem-4197	169	61	)	)	PUNCT
dem-4197	169	62	.	.	PUNCT
dem-4197	170	1	table	table	NOUN
dem-4197	171	1	1	1	NUM
dem-4197	171	2	.	.	PUNCT
dem-4197	171	3	one	one	NUM
dem-4197	171	4	-	-	PUNCT
dem-4197	171	5	step	step	NOUN
dem-4197	171	6	-	-	PUNCT
dem-4197	171	7	ahead	ahead	NOUN
dem-4197	171	8	forecasts	forecast	NOUN
dem-4197	171	9	of	of	ADP
dem-4197	171	10	gdp	gdp	NOUN
dem-4197	171	11	in	in	ADP
dem-4197	171	12	france	france	PROPN
dem-4197	171	13	made	make	VERB
dem-4197	171	14	by	by	ADP
dem-4197	171	15	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	171	16	)	)	PUNCT
dem-4197	171	17	model	model	NOUN
dem-4197	171	18	and	and	CCONJ
dem-4197	171	19	t+ar(2	t+ar(2	PROPN
dem-4197	171	20	)	)	PUNCT
dem-4197	171	21	model	model	NOUN
dem-4197	171	22	with	with	ADP
dem-4197	171	23	prediction	prediction	NOUN
dem-4197	171	24	errors	error	NOUN
dem-4197	171	25	forecast	forecast	VERB
dem-4197	171	26	period	period	NOUN
dem-4197	171	27	realization	realization	NOUN
dem-4197	171	28	model	model	NOUN
dem-4197	171	29	:	:	PUNCT
dem-4197	171	30	arima(1,1,0	arima(1,1,0	PROPN
dem-4197	171	31	)	)	PUNCT
dem-4197	171	32	model	model	NOUN
dem-4197	171	33	:	:	PUNCT
dem-4197	171	34	t+ar(2	t+ar(2	PROPN
dem-4197	171	35	)	)	PUNCT
dem-4197	171	36	forecast	forecast	NOUN
dem-4197	171	37	δt	δt	PROPN
dem-4197	171	38	δ*t	δ*t	PROPN
dem-4197	171	39	forecast	forecast	PROPN
dem-4197	171	40	δt	δt	X
dem-4197	171	41	δ*t	δ*t	X
dem-4197	171	42	2001	2001	NUM
dem-4197	171	43	1289387	1289387	NUM
dem-4197	171	44	1297071	1297071	NUM
dem-4197	171	45	-7684.3	-7684.3	VERB
dem-4197	172	1	-0.60	-0.60	NUM
dem-4197	172	2	%	%	NOUN
dem-4197	172	3	1292864	1292864	NUM
dem-4197	172	4	-3477.0	-3477.0	PROPN
dem-4197	172	5	-0.27	-0.27	NUM
dem-4197	172	6	%	%	NOUN
dem-4197	172	7	2002	2002	NUM
dem-4197	172	8	1305136	1305136	NUM
dem-4197	172	9	1312186	1312186	NUM
dem-4197	172	10	-7050.8	-7050.8	PUNCT
dem-4197	172	11	-0.54	-0.54	NUM
dem-4197	172	12	%	%	NOUN
dem-4197	172	13	1309083	1309083	NUM
dem-4197	172	14	-3947.3	-3947.3	NOUN
dem-4197	172	15	-0.30	-0.30	NOUN
dem-4197	172	16	%	%	NOUN
dem-4197	172	17	2003	2003	NUM
dem-4197	172	18	1315601	1315601	NUM
dem-4197	172	19	1323622	1323622	NUM
dem-4197	172	20	-8021.1	-8021.1	NOUN
dem-4197	172	21	-0.61	-0.61	NUM
dem-4197	172	22	%	%	NOUN
dem-4197	172	23	1321281	1321281	NUM
dem-4197	172	24	-5680.3	-5680.3	SYM
dem-4197	172	25	-0.43	-0.43	NUM
dem-4197	172	26	%	%	NOUN
dem-4197	172	27	table	table	NOUN
dem-4197	172	28	2	2	NUM
dem-4197	172	29	.	.	X
dem-4197	172	30	one	one	NUM
dem-4197	172	31	-	-	PUNCT
dem-4197	172	32	step	step	NOUN
dem-4197	172	33	-	-	PUNCT
dem-4197	172	34	ahead	ahead	NOUN
dem-4197	172	35	forecasts	forecast	NOUN
dem-4197	172	36	of	of	ADP
dem-4197	172	37	gdp	gdp	NOUN
dem-4197	172	38	in	in	ADP
dem-4197	172	39	poland	poland	PROPN
dem-4197	172	40	made	make	VERB
dem-4197	172	41	by	by	ADP
dem-4197	172	42	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	172	43	)	)	PUNCT
dem-4197	172	44	model	model	NOUN
dem-4197	172	45	and	and	CCONJ
dem-4197	172	46	t+ar(2	t+ar(2	PROPN
dem-4197	172	47	)	)	PUNCT
dem-4197	172	48	model	model	NOUN
dem-4197	172	49	with	with	ADP
dem-4197	172	50	prediction	prediction	NOUN
dem-4197	172	51	errors	error	NOUN
dem-4197	172	52	forecast	forecast	VERB
dem-4197	172	53	period	period	NOUN
dem-4197	172	54	realization	realization	NOUN
dem-4197	172	55	model	model	NOUN
dem-4197	172	56	:	:	PUNCT
dem-4197	172	57	arima(1,1,0	arima(1,1,0	PROPN
dem-4197	172	58	)	)	PUNCT
dem-4197	172	59	model	model	NOUN
dem-4197	172	60	:	:	PUNCT
dem-4197	172	61	t+ar(2	t+ar(2	PROPN
dem-4197	172	62	)	)	PUNCT
dem-4197	172	63	forecast	forecast	NOUN
dem-4197	172	64	δt	δt	PROPN
dem-4197	172	65	δ*t	δ*t	PROPN
dem-4197	172	66	forecast	forecast	PROPN
dem-4197	172	67	δt	δt	X
dem-4197	172	68	δ*t	δ*t	X
dem-4197	172	69	2001	2001	NUM
dem-4197	172	70	281508	281508	NUM
dem-4197	172	71	286913	286913	NUM
dem-4197	172	72	-5406	-5406	VERB
dem-4197	172	73	-1.92	-1.92	NUM
dem-4197	172	74	%	%	NOUN
dem-4197	172	75	286307	286307	NUM
dem-4197	172	76	-4798.8	-4798.8	PUNCT
dem-4197	173	1	-1.70	-1.70	NUM
dem-4197	173	2	%	%	NOUN
dem-4197	173	3	2002	2002	NUM
dem-4197	173	4	285365	285365	NUM
dem-4197	173	5	284901	284901	NUM
dem-4197	173	6	464	464	NUM
dem-4197	173	7	0.16	0.16	NUM
dem-4197	173	8	%	%	NOUN
dem-4197	173	9	283789	283789	NUM
dem-4197	173	10	1575.8	1575.8	NUM
dem-4197	173	11	0.55	0.55	NUM
dem-4197	173	12	%	%	NOUN
dem-4197	173	13	2003	2003	NUM
dem-4197	173	14	296237	296237	NUM
dem-4197	173	15	289382	289382	NUM
dem-4197	173	16	6856	6856	NUM
dem-4197	173	17	2.31	2.31	NUM
dem-4197	173	18	%	%	NOUN
dem-4197	173	19	288394	288394	NUM
dem-4197	173	20	7843.2	7843.2	NUM
dem-4197	173	21	2.65	2.65	NUM
dem-4197	173	22	%	%	NOUN
dem-4197	173	23	to	to	PART
dem-4197	173	24	check	check	VERB
dem-4197	173	25	the	the	DET
dem-4197	173	26	choice	choice	NOUN
dem-4197	173	27	of	of	ADP
dem-4197	173	28	model	model	NOUN
dem-4197	173	29	(	(	PUNCT
dem-4197	173	30	arima	arima	NOUN
dem-4197	173	31	or	or	CCONJ
dem-4197	173	32	t+ar(2	t+ar(2	PROPN
dem-4197	173	33	)	)	PUNCT
dem-4197	173	34	)	)	PUNCT
dem-4197	173	35	made	make	VERB
dem-4197	173	36	by	by	ADP
dem-4197	173	37	the	the	DET
dem-4197	173	38	accumulated	accumulate	VERB
dem-4197	173	39	prediction	prediction	NOUN
dem-4197	173	40	error	error	NOUN
dem-4197	173	41	(	(	PUNCT
dem-4197	173	42	ape_se	ape_se	X
dem-4197	173	43	and	and	CCONJ
dem-4197	173	44	ape_ae	ape_ae	NUM
dem-4197	173	45	)	)	PUNCT
dem-4197	173	46	one	one	NUM
dem-4197	173	47	-	-	PUNCT
dem-4197	173	48	step	step	NOUN
dem-4197	173	49	-	-	PUNCT
dem-4197	173	50	ahead	ahead	NOUN
dem-4197	173	51	forecasts	forecast	NOUN
dem-4197	173	52	of	of	ADP
dem-4197	173	53	gdp	gdp	NOUN
dem-4197	173	54	in	in	ADP
dem-4197	173	55	france	france	PROPN
dem-4197	173	56	and	and	CCONJ
dem-4197	173	57	poland	poland	PROPN
dem-4197	173	58	were	be	AUX
dem-4197	173	59	calculated	calculate	VERB
dem-4197	173	60	in	in	ADP
dem-4197	173	61	out	out	ADP
dem-4197	173	62	-	-	PUNCT
dem-4197	173	63	of	of	ADP
dem-4197	173	64	-	-	PUNCT
dem-4197	173	65	sample	sample	NOUN
dem-4197	173	66	(	(	PUNCT
dem-4197	173	67	i.e.	i.e.	X
dem-4197	173	68	2001	2001	NUM
dem-4197	173	69	-	-	SYM
dem-4197	173	70	2003	2003	NUM
dem-4197	173	71	period	period	NOUN
dem-4197	173	72	)	)	PUNCT
dem-4197	173	73	.	.	PUNCT
dem-4197	174	1	these	these	DET
dem-4197	174	2	forecasts	forecast	NOUN
dem-4197	174	3	with	with	ADP
dem-4197	174	4	prediction	prediction	NOUN
dem-4197	174	5	errors	error	NOUN
dem-4197	174	6	(	(	PUNCT
dem-4197	174	7	absolute	absolute	ADJ
dem-4197	174	8	δt	δt	NOUN
dem-4197	174	9	and	and	CCONJ
dem-4197	174	10	relative	relative	ADJ
dem-4197	174	11	δ	δ	PROPN
dem-4197	174	12	*	*	PROPN
dem-4197	174	13	t	t	PROPN
dem-4197	174	14	)	)	PUNCT
dem-4197	174	15	are	be	AUX
dem-4197	174	16	showed	show	VERB
dem-4197	174	17	in	in	ADP
dem-4197	174	18	table	table	NOUN
dem-4197	174	19	1	1	NUM
dem-4197	174	20	and	and	CCONJ
dem-4197	174	21	2	2	NUM
dem-4197	174	22	.	.	X
dem-4197	175	1	it	it	PRON
dem-4197	175	2	is	be	AUX
dem-4197	175	3	seen	see	VERB
dem-4197	175	4	in	in	ADP
dem-4197	175	5	table	table	NOUN
dem-4197	175	6	1	1	NUM
dem-4197	175	7	that	that	SCONJ
dem-4197	175	8	one	one	NUM
dem-4197	175	9	-	-	PUNCT
dem-4197	175	10	step	step	NOUN
dem-4197	175	11	-	-	PUNCT
dem-4197	175	12	ahead	ahead	NOUN
dem-4197	175	13	prediction	prediction	NOUN
dem-4197	175	14	errors	error	NOUN
dem-4197	175	15	are	be	AUX
dem-4197	175	16	smaller	small	ADJ
dem-4197	175	17	when	when	SCONJ
dem-4197	175	18	forecasts	forecast	NOUN
dem-4197	175	19	of	of	ADP
dem-4197	175	20	gdp	gdp	NOUN
dem-4197	175	21	in	in	ADP
dem-4197	175	22	france	france	PROPN
dem-4197	175	23	are	be	AUX
dem-4197	175	24	made	make	VERB
dem-4197	175	25	from	from	ADP
dem-4197	175	26	t+ar(2	t+ar(2	PROPN
dem-4197	175	27	)	)	PUNCT
dem-4197	175	28	model	model	NOUN
dem-4197	175	29	what	what	PRON
dem-4197	175	30	confirms	confirm	VERB
dem-4197	175	31	the	the	DET
dem-4197	175	32	choice	choice	NOUN
dem-4197	175	33	of	of	ADP
dem-4197	175	34	model	model	NOUN
dem-4197	175	35	by	by	ADP
dem-4197	175	36	the	the	DET
dem-4197	175	37	ape_se	ape_se	NOUN
dem-4197	175	38	method	method	NOUN
dem-4197	175	39	(	(	PUNCT
dem-4197	175	40	see	see	VERB
dem-4197	175	41	figure	figure	NOUN
dem-4197	175	42	1	1	NUM
dem-4197	175	43	,	,	PUNCT
dem-4197	175	44	panel	panel	NOUN
dem-4197	175	45	d	d	NOUN
dem-4197	175	46	)	)	PUNCT
dem-4197	175	47	.	.	PUNCT
dem-4197	176	1	however	however	ADV
dem-4197	176	2	,	,	PUNCT
dem-4197	176	3	the	the	DET
dem-4197	176	4	prediction	prediction	NOUN
dem-4197	176	5	errors	error	NOUN
dem-4197	176	6	from	from	ADP
dem-4197	176	7	the	the	DET
dem-4197	176	8	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	176	9	)	)	PUNCT
dem-4197	176	10	model	model	NOUN
dem-4197	176	11	are	be	AUX
dem-4197	176	12	only	only	ADV
dem-4197	176	13	slightly	slightly	ADV
dem-4197	176	14	higher	high	ADJ
dem-4197	176	15	what	what	PRON
dem-4197	176	16	would	would	AUX
dem-4197	176	17	suggest	suggest	VERB
dem-4197	176	18	the	the	DET
dem-4197	176	19	predictive	predictive	ADJ
dem-4197	176	20	value	value	NOUN
dem-4197	176	21	also	also	ADV
dem-4197	176	22	for	for	ADP
dem-4197	176	23	that	that	DET
dem-4197	176	24	model	model	NOUN
dem-4197	176	25	.	.	PUNCT
dem-4197	177	1	this	this	PRON
dem-4197	177	2	means	mean	VERB
dem-4197	177	3	that	that	SCONJ
dem-4197	177	4	although	although	SCONJ
dem-4197	177	5	the	the	DET
dem-4197	177	6	t+ar(2	t+ar(2	PROPN
dem-4197	177	7	)	)	PUNCT
dem-4197	177	8	model	model	NOUN
dem-4197	177	9	is	be	AUX
dem-4197	177	10	preferred	prefer	VERB
dem-4197	177	11	,	,	PUNCT
dem-4197	177	12	the	the	DET
dem-4197	177	13	arima	arima	PROPN
dem-4197	177	14	model	model	NOUN
dem-4197	177	15	may	may	AUX
dem-4197	177	16	be	be	AUX
dem-4197	177	17	also	also	ADV
dem-4197	177	18	useful	useful	ADJ
dem-4197	177	19	in	in	ADP
dem-4197	177	20	forecasting	forecasting	NOUN
dem-4197	177	21	.	.	PUNCT
dem-4197	178	1	forecasting	forecast	VERB
dem-4197	178	2	the	the	DET
dem-4197	178	3	gdp	gdp	NOUN
dem-4197	178	4	in	in	ADP
dem-4197	178	5	poland	poland	PROPN
dem-4197	178	6	the	the	DET
dem-4197	178	7	smaller	small	ADJ
dem-4197	178	8	one	one	NUM
dem-4197	178	9	-	-	PUNCT
dem-4197	178	10	step	step	NOUN
dem-4197	178	11	-	-	PUNCT
dem-4197	178	12	ahead	ahead	NOUN
dem-4197	178	13	prediction	prediction	NOUN
dem-4197	178	14	errors	error	NOUN
dem-4197	178	15	are	be	AUX
dem-4197	178	16	obtained	obtain	VERB
dem-4197	178	17	when	when	SCONJ
dem-4197	178	18	forecasts	forecast	NOUN
dem-4197	178	19	are	be	AUX
dem-4197	178	20	made	make	VERB
dem-4197	178	21	from	from	ADP
dem-4197	178	22	arima(1,1,0	arima(1,1,0	NOUN
dem-4197	178	23	)	)	PUNCT
dem-4197	178	24	model	model	NOUN
dem-4197	178	25	which	which	PRON
dem-4197	178	26	was	be	AUX
dem-4197	178	27	indicated	indicate	VERB
dem-4197	178	28	by	by	ADP
dem-4197	178	29	the	the	DET
dem-4197	178	30	ape	ape	NOUN
dem-4197	178	31	method	method	NOUN
dem-4197	178	32	(	(	PUNCT
dem-4197	178	33	see	see	VERB
dem-4197	178	34	figure	figure	NOUN
dem-4197	178	35	2	2	NUM
dem-4197	178	36	,	,	PUNCT
dem-4197	178	37	panel	panel	NOUN
dem-4197	178	38	c	c	NOUN
dem-4197	178	39	and	and	CCONJ
dem-4197	178	40	d	d	NOUN
dem-4197	178	41	)	)	PUNCT
dem-4197	178	42	.	.	PUNCT
dem-4197	179	1	mariola	mariola	PROPN
dem-4197	179	2	piłatowska	piłatowska	PROPN
dem-4197	179	3	118	118	NUM
dem-4197	179	4	4	4	NUM
dem-4197	179	5	.	.	PUNCT
dem-4197	180	1	conclusions	conclusion	NOUN
dem-4197	180	2	the	the	DET
dem-4197	180	3	presented	present	VERB
dem-4197	180	4	empirical	empirical	ADJ
dem-4197	180	5	example	example	NOUN
dem-4197	180	6	indicates	indicate	VERB
dem-4197	180	7	the	the	DET
dem-4197	180	8	usefulness	usefulness	NOUN
dem-4197	180	9	of	of	ADP
dem-4197	180	10	one	one	NUM
dem-4197	180	11	-	-	PUNCT
dem-4197	180	12	step	step	NOUN
dem-4197	180	13	-	-	PUNCT
dem-4197	180	14	ahead	ahead	ADV
dem-4197	180	15	accumulated	accumulate	VERB
dem-4197	180	16	prediction	prediction	NOUN
dem-4197	180	17	error	error	NOUN
dem-4197	180	18	(	(	PUNCT
dem-4197	180	19	ape	ape	NOUN
dem-4197	180	20	)	)	PUNCT
dem-4197	180	21	as	as	ADP
dem-4197	180	22	a	a	DET
dem-4197	180	23	method	method	NOUN
dem-4197	180	24	of	of	ADP
dem-4197	180	25	model	model	NOUN
dem-4197	180	26	selection	selection	NOUN
dem-4197	180	27	.	.	PUNCT
dem-4197	181	1	the	the	DET
dem-4197	181	2	ape	ape	NOUN
dem-4197	181	3	method	method	NOUN
dem-4197	181	4	is	be	AUX
dem-4197	181	5	conceptually	conceptually	ADV
dem-4197	181	6	straightforward	straightforward	ADJ
dem-4197	181	7	,	,	PUNCT
dem-4197	181	8	as	as	SCONJ
dem-4197	181	9	it	it	PRON
dem-4197	181	10	accumulates	accumulate	VERB
dem-4197	181	11	‘	'	PUNCT
dem-4197	181	12	honest	honest	ADJ
dem-4197	181	13	’	'	PUNCT
dem-4197	181	14	one	one	NUM
dem-4197	181	15	-	-	PUNCT
dem-4197	181	16	stepahead	stepahead	NOUN
dem-4197	181	17	prediction	prediction	NOUN
dem-4197	181	18	errors	error	NOUN
dem-4197	181	19	,	,	PUNCT
dem-4197	181	20	i.e.	i.e.	X
dem-4197	181	21	its	its	PRON
dem-4197	181	22	predictions	prediction	NOUN
dem-4197	181	23	always	always	ADV
dem-4197	181	24	concern	concern	VERB
dem-4197	181	25	unseen	unseen	ADJ
dem-4197	181	26	data	datum	NOUN
dem-4197	181	27	.	.	PUNCT
dem-4197	182	1	additionally	additionally	ADV
dem-4197	182	2	,	,	PUNCT
dem-4197	182	3	observing	observe	VERB
dem-4197	182	4	the	the	DET
dem-4197	182	5	evolution	evolution	NOUN
dem-4197	182	6	of	of	ADP
dem-4197	182	7	ape	ape	NOUN
dem-4197	182	8	as	as	SCONJ
dem-4197	182	9	the	the	DET
dem-4197	182	10	number	number	NOUN
dem-4197	182	11	of	of	ADP
dem-4197	182	12	observations	observation	NOUN
dem-4197	182	13	is	be	AUX
dem-4197	182	14	increased	increase	VERB
dem-4197	182	15	,	,	PUNCT
dem-4197	182	16	suggests	suggest	VERB
dem-4197	182	17	that	that	SCONJ
dem-4197	182	18	the	the	DET
dem-4197	182	19	choice	choice	NOUN
dem-4197	182	20	of	of	ADP
dem-4197	182	21	best	good	ADJ
dem-4197	182	22	model	model	NOUN
dem-4197	182	23	should	should	AUX
dem-4197	182	24	be	be	AUX
dem-4197	182	25	referred	refer	VERB
dem-4197	182	26	to	to	ADP
dem-4197	182	27	the	the	DET
dem-4197	182	28	number	number	NOUN
dem-4197	182	29	of	of	ADP
dem-4197	182	30	observations	observation	NOUN
dem-4197	182	31	,	,	PUNCT
dem-4197	182	32	that	that	ADV
dem-4197	182	33	is	is	ADV
dem-4197	182	34	,	,	PUNCT
dem-4197	182	35	the	the	DET
dem-4197	182	36	best	good	ADJ
dem-4197	182	37	model	model	NOUN
dem-4197	182	38	in	in	ADP
dem-4197	182	39	given	give	VERB
dem-4197	182	40	sample	sample	NOUN
dem-4197	182	41	size	size	NOUN
dem-4197	182	42	may	may	AUX
dem-4197	182	43	be	be	AUX
dem-4197	182	44	replace	replace	VERB
dem-4197	182	45	with	with	ADP
dem-4197	182	46	another	another	DET
dem-4197	182	47	model	model	NOUN
dem-4197	182	48	which	which	PRON
dem-4197	182	49	has	have	VERB
dem-4197	182	50	better	well	ADJ
dem-4197	182	51	prediction	prediction	NOUN
dem-4197	182	52	value	value	NOUN
dem-4197	182	53	.	.	PUNCT
dem-4197	183	1	the	the	DET
dem-4197	183	2	ape	ape	NOUN
dem-4197	183	3	method	method	NOUN
dem-4197	183	4	can	can	AUX
dem-4197	183	5	be	be	AUX
dem-4197	183	6	applied	apply	VERB
dem-4197	183	7	to	to	ADP
dem-4197	183	8	nested	nested	ADJ
dem-4197	183	9	and	and	CCONJ
dem-4197	183	10	non	non	ADJ
dem-4197	183	11	-	-	ADJ
dem-4197	183	12	nested	nested	ADJ
dem-4197	183	13	models	model	NOUN
dem-4197	183	14	alike	alike	ADV
dem-4197	183	15	and	and	CCONJ
dem-4197	183	16	it	it	PRON
dem-4197	183	17	is	be	AUX
dem-4197	183	18	sensitive	sensitive	ADJ
dem-4197	183	19	to	to	ADP
dem-4197	183	20	the	the	DET
dem-4197	183	21	functional	functional	ADJ
dem-4197	183	22	form	form	NOUN
dem-4197	183	23	of	of	ADP
dem-4197	183	24	the	the	DET
dem-4197	183	25	model	model	NOUN
dem-4197	183	26	parameters	parameter	NOUN
dem-4197	183	27	(	(	PUNCT
dem-4197	183	28	myung	myung	PROPN
dem-4197	183	29	,	,	PUNCT
dem-4197	183	30	pitt	pitt	PROPN
dem-4197	183	31	,	,	PUNCT
dem-4197	183	32	1997	1997	NUM
dem-4197	183	33	)	)	PUNCT
dem-4197	183	34	,	,	PUNCT
dem-4197	183	35	and	and	CCONJ
dem-4197	183	36	not	not	PART
dem-4197	183	37	just	just	ADV
dem-4197	183	38	to	to	ADP
dem-4197	183	39	their	their	PRON
dem-4197	183	40	number	number	NOUN
dem-4197	183	41	as	as	ADP
dem-4197	183	42	in	in	ADP
dem-4197	183	43	aic	aic	PROPN
dem-4197	183	44	and	and	CCONJ
dem-4197	183	45	bic	bic	PROPN
dem-4197	183	46	method	method	NOUN
dem-4197	183	47	.	.	PUNCT
dem-4197	184	1	also	also	ADV
dem-4197	184	2	,	,	PUNCT
dem-4197	184	3	the	the	DET
dem-4197	184	4	ape	ape	NOUN
dem-4197	184	5	is	be	AUX
dem-4197	184	6	a	a	DET
dem-4197	184	7	data	data	NOUN
dem-4197	184	8	-	-	PUNCT
dem-4197	184	9	driven	drive	VERB
dem-4197	184	10	method	method	NOUN
dem-4197	184	11	that	that	PRON
dem-4197	184	12	does	do	AUX
dem-4197	184	13	not	not	PART
dem-4197	184	14	rely	rely	VERB
dem-4197	184	15	on	on	ADP
dem-4197	184	16	the	the	DET
dem-4197	184	17	accuracy	accuracy	NOUN
dem-4197	184	18	of	of	ADP
dem-4197	184	19	asymptotic	asymptotic	ADJ
dem-4197	184	20	approximations	approximation	NOUN
dem-4197	184	21	.	.	PUNCT
dem-4197	185	1	in	in	ADP
dem-4197	185	2	particular	particular	ADJ
dem-4197	185	3	,	,	PUNCT
dem-4197	185	4	the	the	DET
dem-4197	185	5	use	use	NOUN
dem-4197	185	6	of	of	ADP
dem-4197	185	7	ape	ape	NOUN
dem-4197	185	8	does	do	AUX
dem-4197	185	9	not	not	PART
dem-4197	185	10	require	require	VERB
dem-4197	185	11	to	to	PART
dem-4197	185	12	include	include	VERB
dem-4197	185	13	the	the	DET
dem-4197	185	14	true	true	ADJ
dem-4197	185	15	(	(	PUNCT
dem-4197	185	16	data	data	NOUN
dem-4197	185	17	generating	generating	NOUN
dem-4197	185	18	process	process	NOUN
dem-4197	185	19	)	)	PUNCT
dem-4197	185	20	model	model	NOUN
dem-4197	185	21	into	into	ADP
dem-4197	185	22	the	the	DET
dem-4197	185	23	set	set	NOUN
dem-4197	185	24	of	of	ADP
dem-4197	185	25	candidate	candidate	NOUN
dem-4197	185	26	models	model	NOUN
dem-4197	185	27	.	.	PUNCT
dem-4197	186	1	unquestionable	unquestionable	ADJ
dem-4197	186	2	advantage	advantage	NOUN
dem-4197	186	3	of	of	ADP
dem-4197	186	4	ape	ape	NOUN
dem-4197	186	5	is	be	AUX
dem-4197	186	6	that	that	PRON
dem-4197	186	7	can	can	AUX
dem-4197	186	8	be	be	AUX
dem-4197	186	9	used	use	VERB
dem-4197	186	10	not	not	PART
dem-4197	186	11	only	only	ADV
dem-4197	186	12	for	for	ADP
dem-4197	186	13	the	the	DET
dem-4197	186	14	selection	selection	NOUN
dem-4197	186	15	of	of	ADP
dem-4197	186	16	models	model	NOUN
dem-4197	186	17	,	,	PUNCT
dem-4197	186	18	but	but	CCONJ
dem-4197	186	19	also	also	ADV
dem-4197	186	20	for	for	ADP
dem-4197	186	21	the	the	DET
dem-4197	186	22	selection	selection	NOUN
dem-4197	186	23	of	of	ADP
dem-4197	186	24	model	model	NOUN
dem-4197	186	25	selection	selection	NOUN
dem-4197	186	26	methods	method	NOUN
dem-4197	186	27	,	,	PUNCT
dem-4197	186	28	and	and	CCONJ
dem-4197	186	29	thus	thus	ADV
dem-4197	186	30	,	,	PUNCT
dem-4197	186	31	the	the	DET
dem-4197	186	32	comparison	comparison	NOUN
dem-4197	186	33	of	of	ADP
dem-4197	186	34	various	various	ADJ
dem-4197	186	35	model	model	NOUN
dem-4197	186	36	selection	selection	NOUN
dem-4197	186	37	methods	method	NOUN
dem-4197	186	38	can	can	AUX
dem-4197	186	39	be	be	AUX
dem-4197	186	40	carried	carry	VERB
dem-4197	186	41	out	out	ADP
dem-4197	186	42	.	.	PUNCT
dem-4197	187	1	hence	hence	ADV
dem-4197	187	2	the	the	DET
dem-4197	187	3	ape	ape	NOUN
dem-4197	187	4	method	method	NOUN
dem-4197	187	5	enhances	enhance	VERB
dem-4197	187	6	the	the	DET
dem-4197	187	7	issue	issue	NOUN
dem-4197	187	8	of	of	ADP
dem-4197	187	9	model	model	NOUN
dem-4197	187	10	selection	selection	NOUN
dem-4197	187	11	and	and	CCONJ
dem-4197	187	12	therefore	therefore	ADV
dem-4197	187	13	may	may	AUX
dem-4197	187	14	be	be	AUX
dem-4197	187	15	of	of	ADP
dem-4197	187	16	considerable	considerable	ADJ
dem-4197	187	17	practical	practical	ADJ
dem-4197	187	18	importance	importance	NOUN
dem-4197	187	19	.	.	PUNCT
dem-4197	188	1	references	reference	NOUN
dem-4197	188	2	aitchison	aitchison	PROPN
dem-4197	188	3	,	,	PUNCT
dem-4197	188	4	j.	j.	PROPN
dem-4197	188	5	,	,	PUNCT
dem-4197	188	6	dunsmore	dunsmore	PROPN
dem-4197	188	7	,	,	PUNCT
dem-4197	188	8	i.	i.	PROPN
dem-4197	188	9	r.	r.	PROPN
dem-4197	188	10	(	(	PUNCT
dem-4197	188	11	1975	1975	NUM
dem-4197	188	12	)	)	PUNCT
dem-4197	188	13	,	,	PUNCT
dem-4197	188	14	statistical	statistical	ADJ
dem-4197	188	15	prediction	prediction	NOUN
dem-4197	188	16	analysis	analysis	NOUN
dem-4197	188	17	,	,	PUNCT
dem-4197	188	18	cambridge	cambridge	PROPN
dem-4197	188	19	university	university	PROPN
dem-4197	188	20	press	press	PROPN
dem-4197	188	21	,	,	PUNCT
dem-4197	188	22	cambridge	cambridge	PROPN
dem-4197	188	23	.	.	PUNCT
dem-4197	189	1	akaike	akaike	PROPN
dem-4197	189	2	,	,	PUNCT
dem-4197	189	3	h.	h.	PROPN
dem-4197	189	4	(	(	PUNCT
dem-4197	189	5	1973	1973	NUM
dem-4197	189	6	)	)	PUNCT
dem-4197	189	7	,	,	PUNCT
dem-4197	189	8	information	information	NOUN
dem-4197	189	9	theory	theory	NOUN
dem-4197	189	10	and	and	CCONJ
dem-4197	189	11	an	an	DET
dem-4197	189	12	extension	extension	NOUN
dem-4197	189	13	of	of	ADP
dem-4197	189	14	the	the	DET
dem-4197	189	15	maximum	maximum	ADJ
dem-4197	189	16	likelihood	likelihood	NOUN
dem-4197	189	17	principle	principle	NOUN
dem-4197	189	18	,	,	PUNCT
dem-4197	189	19	[	[	X
dem-4197	189	20	in	in	ADP
dem-4197	189	21	:]	:]	PROPN
dem-4197	189	22	petrov	petrov	PROPN
dem-4197	189	23	b.	b.	PROPN
dem-4197	189	24	n.	n.	PROPN
dem-4197	189	25	,	,	PUNCT
dem-4197	189	26	csaki	csaki	PROPN
dem-4197	189	27	f.	f.	PROPN
dem-4197	189	28	,	,	PUNCT
dem-4197	189	29	second	second	ADJ
dem-4197	189	30	international	international	ADJ
dem-4197	189	31	symposium	symposium	NOUN
dem-4197	189	32	on	on	ADP
dem-4197	189	33	information	information	NOUN
dem-4197	189	34	theory	theory	NOUN
dem-4197	189	35	,	,	PUNCT
dem-4197	189	36	kiado	kiado	PROPN
dem-4197	189	37	academy	academy	PROPN
dem-4197	189	38	,	,	PUNCT
dem-4197	189	39	budapest	budapest	PROPN
dem-4197	189	40	.	.	PUNCT
dem-4197	190	1	burnham	burnham	PROPN
dem-4197	190	2	,	,	PUNCT
dem-4197	190	3	k.	k.	PROPN
dem-4197	190	4	p.	p.	PROPN
dem-4197	190	5	,	,	PUNCT
dem-4197	190	6	anderson	anderson	PROPN
dem-4197	190	7	,	,	PUNCT
dem-4197	190	8	d.	d.	PROPN
dem-4197	190	9	r.	r.	PROPN
dem-4197	190	10	(	(	PUNCT
dem-4197	190	11	2002	2002	NUM
dem-4197	190	12	)	)	PUNCT
dem-4197	190	13	,	,	PUNCT
dem-4197	190	14	model	model	NOUN
dem-4197	190	15	selection	selection	NOUN
dem-4197	190	16	and	and	CCONJ
dem-4197	190	17	multimodel	multimodel	PROPN
dem-4197	190	18	inference	inference	PROPN
dem-4197	190	19	,	,	PUNCT
dem-4197	190	20	springer	springer	NOUN
dem-4197	190	21	,	,	PUNCT
dem-4197	190	22	christiano	christiano	PROPN
dem-4197	190	23	,	,	PUNCT
dem-4197	190	24	l.	l.	PROPN
dem-4197	190	25	j.	j.	PROPN
dem-4197	190	26	,	,	PUNCT
dem-4197	190	27	eichenbaum	eichenbaum	PROPN
dem-4197	190	28	,	,	PUNCT
dem-4197	190	29	m.	m.	NOUN
dem-4197	190	30	(	(	PUNCT
dem-4197	190	31	1990	1990	NUM
dem-4197	190	32	)	)	PUNCT
dem-4197	190	33	,	,	PUNCT
dem-4197	190	34	unit	unit	NOUN
dem-4197	190	35	roots	root	NOUN
dem-4197	190	36	in	in	ADP
dem-4197	190	37	real	real	ADJ
dem-4197	190	38	gnp	gnp	PROPN
dem-4197	190	39	:	:	PUNCT
dem-4197	190	40	do	do	AUX
dem-4197	190	41	we	we	PRON
dem-4197	190	42	know	know	VERB
dem-4197	190	43	and	and	CCONJ
dem-4197	190	44	do	do	AUX
dem-4197	190	45	we	we	PRON
dem-4197	190	46	care	care	VERB
dem-4197	190	47	?	?	PUNCT
dem-4197	190	48	,	,	PUNCT
dem-4197	190	49	carnegie	carnegie	NOUN
dem-4197	190	50	-	-	PUNCT
dem-4197	190	51	rochester	rochester	PROPN
dem-4197	190	52	conference	conference	NOUN
dem-4197	190	53	series	series	NOUN
dem-4197	190	54	on	on	ADP
dem-4197	190	55	public	public	ADJ
dem-4197	190	56	policy	policy	NOUN
dem-4197	190	57	,	,	PUNCT
dem-4197	190	58	no	no	INTJ
dem-4197	190	59	.	.	NOUN
dem-4197	190	60	32	32	NUM
dem-4197	190	61	,	,	PUNCT
dem-4197	190	62	7–61	7–61	PROPN
dem-4197	190	63	.	.	PUNCT
dem-4197	191	1	clarke	clarke	PROPN
dem-4197	191	2	,	,	PUNCT
dem-4197	191	3	b.	b.	PROPN
dem-4197	191	4	(	(	PUNCT
dem-4197	191	5	2001	2001	NUM
dem-4197	191	6	)	)	PUNCT
dem-4197	191	7	,	,	PUNCT
dem-4197	191	8	combining	combine	VERB
dem-4197	191	9	model	model	NOUN
dem-4197	191	10	selection	selection	NOUN
dem-4197	191	11	procedures	procedure	NOUN
dem-4197	191	12	for	for	ADP
dem-4197	191	13	online	online	ADJ
dem-4197	191	14	prediction	prediction	NOUN
dem-4197	191	15	,	,	PUNCT
dem-4197	191	16	sahkhya	sahkhya	NOUN
dem-4197	191	17	:	:	PUNCT
dem-4197	191	18	the	the	DET
dem-4197	191	19	indian	indian	PROPN
dem-4197	191	20	journal	journal	PROPN
dem-4197	191	21	of	of	ADP
dem-4197	191	22	statistics	statistic	NOUN
dem-4197	191	23	,	,	PUNCT
dem-4197	191	24	63	63	NUM
dem-4197	191	25	,	,	PUNCT
dem-4197	191	26	series	series	NOUN
dem-4197	191	27	a	a	PRON
dem-4197	191	28	,	,	PUNCT
dem-4197	191	29	229–249	229–249	NUM
dem-4197	191	30	.	.	PUNCT
dem-4197	192	1	dawid	dawid	PROPN
dem-4197	192	2	,	,	PUNCT
dem-4197	192	3	a.	a.	NOUN
dem-4197	192	4	p.	p.	NOUN
dem-4197	192	5	(	(	PUNCT
dem-4197	192	6	1984	1984	NUM
dem-4197	192	7	)	)	PUNCT
dem-4197	192	8	,	,	PUNCT
dem-4197	192	9	statistical	statistical	ADJ
dem-4197	192	10	theory	theory	NOUN
dem-4197	192	11	:	:	PUNCT
dem-4197	192	12	the	the	DET
dem-4197	192	13	prequential	prequential	ADJ
dem-4197	192	14	approach	approach	NOUN
dem-4197	192	15	,	,	PUNCT
dem-4197	192	16	journal	journal	NOUN
dem-4197	192	17	of	of	ADP
dem-4197	192	18	royal	royal	ADJ
dem-4197	192	19	statistical	statistical	ADJ
dem-4197	192	20	society	society	NOUN
dem-4197	192	21	series	series	PROPN
dem-4197	192	22	b	b	PROPN
dem-4197	192	23	,	,	PUNCT
dem-4197	192	24	147	147	NUM
dem-4197	192	25	,	,	PUNCT
dem-4197	192	26	278–292	278–292	NUM
dem-4197	192	27	.	.	PUNCT
dem-4197	192	28	de	de	PROPN
dem-4197	192	29	luna	luna	PROPN
dem-4197	192	30	,	,	PUNCT
dem-4197	192	31	x.	x.	PROPN
dem-4197	192	32	,	,	PUNCT
dem-4197	192	33	skouras	skouras	PROPN
dem-4197	192	34	,	,	PUNCT
dem-4197	192	35	k.	k.	PROPN
dem-4197	192	36	(	(	PUNCT
dem-4197	192	37	2003	2003	NUM
dem-4197	192	38	)	)	PUNCT
dem-4197	192	39	,	,	PUNCT
dem-4197	192	40	choosing	choose	VERB
dem-4197	192	41	a	a	DET
dem-4197	192	42	model	model	NOUN
dem-4197	192	43	selection	selection	NOUN
dem-4197	192	44	strategy	strategy	NOUN
dem-4197	192	45	,	,	PUNCT
dem-4197	192	46	scandinavian	scandinavian	ADJ
dem-4197	192	47	journal	journal	NOUN
dem-4197	192	48	of	of	ADP
dem-4197	192	49	statistics	statistic	NOUN
dem-4197	192	50	,	,	PUNCT
dem-4197	192	51	30	30	NUM
dem-4197	192	52	,	,	PUNCT
dem-4197	192	53	113–128	113–128	NUM
dem-4197	192	54	.	.	PUNCT
dem-4197	193	1	diebold	diebold	PROPN
dem-4197	193	2	,	,	PUNCT
dem-4197	193	3	f.	f.	PROPN
dem-4197	193	4	x.	x.	PROPN
dem-4197	193	5	,	,	PUNCT
dem-4197	193	6	senhadji	senhadji	PROPN
dem-4197	193	7	,	,	PUNCT
dem-4197	193	8	a.	a.	NOUN
dem-4197	193	9	(	(	PUNCT
dem-4197	193	10	1996	1996	NUM
dem-4197	193	11	)	)	PUNCT
dem-4197	193	12	,	,	PUNCT
dem-4197	194	1	deterministic	deterministic	ADJ
dem-4197	194	2	vs.	vs.	ADP
dem-4197	194	3	stochastic	stochastic	ADJ
dem-4197	194	4	trend	trend	NOUN
dem-4197	194	5	in	in	ADP
dem-4197	194	6	u.s	u.s	PROPN
dem-4197	194	7	.	.	PROPN
dem-4197	194	8	gnp	gnp	PROPN
dem-4197	194	9	.	.	PUNCT
dem-4197	195	1	yet	yet	ADV
dem-4197	195	2	again	again	ADV
dem-4197	195	3	,	,	PUNCT
dem-4197	195	4	nber	nber	PROPN
dem-4197	195	5	working	working	NOUN
dem-4197	195	6	papers	paper	NOUN
dem-4197	195	7	,	,	PUNCT
dem-4197	195	8	nr	nr	PROPN
dem-4197	195	9	5481	5481	NUM
dem-4197	195	10	.	.	PUNCT
dem-4197	196	1	haubrich	haubrich	PROPN
dem-4197	196	2	,	,	PUNCT
dem-4197	196	3	j.	j.	PROPN
dem-4197	196	4	g.	g.	PROPN
dem-4197	196	5	,	,	PUNCT
dem-4197	196	6	lo	lo	PROPN
dem-4197	196	7	,	,	PUNCT
dem-4197	196	8	a.	a.	PROPN
dem-4197	196	9	w.	w.	PROPN
dem-4197	196	10	(	(	PUNCT
dem-4197	196	11	2001	2001	NUM
dem-4197	196	12	)	)	PUNCT
dem-4197	196	13	,	,	PUNCT
dem-4197	196	14	the	the	DET
dem-4197	196	15	source	source	NOUN
dem-4197	196	16	and	and	CCONJ
dem-4197	196	17	nature	nature	NOUN
dem-4197	196	18	of	of	ADP
dem-4197	196	19	long	long	ADJ
dem-4197	196	20	-	-	PUNCT
dem-4197	196	21	term	term	NOUN
dem-4197	196	22	memory	memory	NOUN
dem-4197	196	23	in	in	ADP
dem-4197	196	24	aggregate	aggregate	ADJ
dem-4197	196	25	output	output	NOUN
dem-4197	196	26	,	,	PUNCT
dem-4197	196	27	federal	federal	PROPN
dem-4197	196	28	reserve	reserve	PROPN
dem-4197	196	29	bank	bank	PROPN
dem-4197	196	30	of	of	ADP
dem-4197	196	31	cleveland	cleveland	PROPN
dem-4197	196	32	„	„	PUNCT
dem-4197	196	33	economic	economic	ADJ
dem-4197	196	34	review	review	NOUN
dem-4197	196	35	”	"	PUNCT
dem-4197	196	36	,	,	PUNCT
dem-4197	196	37	qii	qii	NOUN
dem-4197	196	38	,	,	PUNCT
dem-4197	196	39	15–30	15–30	NUM
dem-4197	196	40	.	.	PUNCT
dem-4197	196	41	maddison	maddison	PROPN
dem-4197	196	42	,	,	PUNCT
dem-4197	196	43	a.	a.	NOUN
dem-4197	196	44	(	(	PUNCT
dem-4197	196	45	2001	2001	NUM
dem-4197	196	46	)	)	PUNCT
dem-4197	196	47	,	,	PUNCT
dem-4197	196	48	the	the	DET
dem-4197	196	49	world	world	NOUN
dem-4197	196	50	economy	economy	NOUN
dem-4197	196	51	–	–	PUNCT
dem-4197	196	52	a	a	DET
dem-4197	196	53	millennial	millennial	ADJ
dem-4197	196	54	perspective	perspective	NOUN
dem-4197	196	55	,	,	PUNCT
dem-4197	196	56	oecd	oecd	PROPN
dem-4197	196	57	development	development	PROPN
dem-4197	196	58	centre	centre	PROPN
dem-4197	196	59	,	,	PUNCT
dem-4197	196	60	paris	paris	PROPN
dem-4197	196	61	.	.	PUNCT
dem-4197	197	1	murray	murray	PROPN
dem-4197	197	2	,	,	PUNCT
dem-4197	197	3	c.	c.	PROPN
dem-4197	197	4	,	,	PUNCT
dem-4197	197	5	nelson	nelson	PROPN
dem-4197	197	6	,	,	PUNCT
dem-4197	197	7	c.	c.	PROPN
dem-4197	197	8	(	(	PUNCT
dem-4197	197	9	1998	1998	NUM
dem-4197	197	10	)	)	PUNCT
dem-4197	197	11	,	,	PUNCT
dem-4197	197	12	the	the	DET
dem-4197	197	13	uncertain	uncertain	ADJ
dem-4197	197	14	trend	trend	NOUN
dem-4197	197	15	in	in	ADP
dem-4197	197	16	u.s	u.s	PROPN
dem-4197	197	17	.	.	PROPN
dem-4197	197	18	gnp	gnp	PROPN
dem-4197	197	19	,	,	PUNCT
dem-4197	197	20	discussion	discussion	NOUN
dem-4197	197	21	papers	paper	NOUN
dem-4197	197	22	in	in	ADP
dem-4197	197	23	economics	economic	NOUN
dem-4197	197	24	at	at	ADP
dem-4197	197	25	the	the	DET
dem-4197	197	26	university	university	PROPN
dem-4197	197	27	of	of	ADP
dem-4197	197	28	washington	washington	PROPN
dem-4197	197	29	,	,	PUNCT
dem-4197	197	30	nr	nr	PROPN
dem-4197	197	31	0074	0074	NUM
dem-4197	197	32	.	.	PUNCT
dem-4197	198	1	myung	myung	PROPN
dem-4197	198	2	,	,	PUNCT
dem-4197	198	3	i.	i.	PROPN
dem-4197	198	4	j.	j.	PROPN
dem-4197	198	5	,	,	PUNCT
dem-4197	198	6	pitt	pitt	PROPN
dem-4197	198	7	,	,	PUNCT
dem-4197	198	8	m.	m.	NOUN
dem-4197	198	9	a.	a.	NOUN
dem-4197	198	10	(	(	PUNCT
dem-4197	198	11	1997	1997	NUM
dem-4197	198	12	)	)	PUNCT
dem-4197	198	13	,	,	PUNCT
dem-4197	198	14	applying	apply	VERB
dem-4197	198	15	occam	occam	PROPN
dem-4197	198	16	’s	’s	PART
dem-4197	198	17	razor	razor	NOUN
dem-4197	198	18	in	in	ADP
dem-4197	198	19	modeling	model	VERB
dem-4197	198	20	cognition	cognition	NOUN
dem-4197	198	21	:	:	PUNCT
dem-4197	198	22	a	a	DET
dem-4197	198	23	bayesian	bayesian	NOUN
dem-4197	198	24	approach	approach	NOUN
dem-4197	198	25	,	,	PUNCT
dem-4197	198	26	psychonomic	psychonomic	ADJ
dem-4197	198	27	bulletin	bulletin	NOUN
dem-4197	198	28	and	and	CCONJ
dem-4197	198	29	review	review	NOUN
dem-4197	198	30	,	,	PUNCT
dem-4197	198	31	4	4	NUM
dem-4197	198	32	,	,	PUNCT
dem-4197	198	33	79–95	79–95	NUM
dem-4197	198	34	.	.	PUNCT
dem-4197	199	1	choosing	choose	VERB
dem-4197	199	2	a	a	DET
dem-4197	199	3	model	model	NOUN
dem-4197	199	4	and	and	CCONJ
dem-4197	199	5	model	model	NOUN
dem-4197	199	6	selection	selection	NOUN
dem-4197	199	7	strategy	strategy	NOUN
dem-4197	199	8	by	by	ADP
dem-4197	199	9	…	…	PUNCT
dem-4197	199	10	119	119	NUM
dem-4197	199	11	nelson	nelson	PROPN
dem-4197	199	12	,	,	PUNCT
dem-4197	199	13	c.	c.	PROPN
dem-4197	199	14	r.	r.	PROPN
dem-4197	199	15	,	,	PUNCT
dem-4197	199	16	plosser	plosser	PROPN
dem-4197	199	17	,	,	PUNCT
dem-4197	199	18	c.	c.	PROPN
dem-4197	199	19	i.	i.	PROPN
dem-4197	199	20	(	(	PUNCT
dem-4197	199	21	1982	1982	NUM
dem-4197	199	22	)	)	PUNCT
dem-4197	199	23	,	,	PUNCT
dem-4197	199	24	trends	trend	NOUN
dem-4197	199	25	and	and	CCONJ
dem-4197	199	26	random	random	ADJ
dem-4197	199	27	walks	walk	NOUN
dem-4197	199	28	in	in	ADP
dem-4197	199	29	macroeconomic	macroeconomic	ADJ
dem-4197	199	30	time	time	NOUN
dem-4197	199	31	series	series	NOUN
dem-4197	199	32	:	:	PUNCT
dem-4197	199	33	some	some	DET
dem-4197	199	34	evidence	evidence	NOUN
dem-4197	199	35	and	and	CCONJ
dem-4197	199	36	implications	implication	NOUN
dem-4197	199	37	,	,	PUNCT
dem-4197	199	38	journal	journal	NOUN
dem-4197	199	39	of	of	ADP
dem-4197	199	40	monetary	monetary	ADJ
dem-4197	199	41	economics	economic	NOUN
dem-4197	199	42	,	,	PUNCT
dem-4197	199	43	10(2	10(2	NUM
dem-4197	199	44	)	)	PUNCT
dem-4197	199	45	,	,	PUNCT
dem-4197	199	46	139–162	139–162	NUM
dem-4197	199	47	.	.	PUNCT
dem-4197	200	1	perron	perron	PROPN
dem-4197	200	2	,	,	PUNCT
dem-4197	200	3	p.	p.	PROPN
dem-4197	200	4	,	,	PUNCT
dem-4197	200	5	phillips	phillips	PROPN
dem-4197	200	6	,	,	PUNCT
dem-4197	200	7	p.	p.	PROPN
dem-4197	200	8	c.	c.	PROPN
dem-4197	200	9	b.	b.	PROPN
dem-4197	200	10	(	(	PUNCT
dem-4197	200	11	1987	1987	NUM
dem-4197	200	12	)	)	PUNCT
dem-4197	200	13	,	,	PUNCT
dem-4197	200	14	does	do	AUX
dem-4197	200	15	gnp	gnp	PROPN
dem-4197	200	16	have	have	VERB
dem-4197	200	17	a	a	DET
dem-4197	200	18	unit	unit	NOUN
dem-4197	200	19	root	root	NOUN
dem-4197	200	20	?	?	PUNCT
dem-4197	200	21	,	,	PUNCT
dem-4197	200	22	economics	economics	NOUN
dem-4197	200	23	letters	letter	NOUN
dem-4197	200	24	,	,	PUNCT
dem-4197	200	25	23	23	NUM
dem-4197	200	26	,	,	PUNCT
dem-4197	200	27	129	129	NUM
dem-4197	200	28	–	–	SYM
dem-4197	200	29	145	145	NUM
dem-4197	200	30	.	.	PUNCT
dem-4197	201	1	piłatowska	piłatowska	NOUN
dem-4197	201	2	,	,	PUNCT
dem-4197	201	3	m.	m.	NOUN
dem-4197	201	4	(	(	PUNCT
dem-4197	201	5	2009	2009	NUM
dem-4197	201	6	)	)	PUNCT
dem-4197	201	7	,	,	PUNCT
dem-4197	201	8	prognozy	prognozy	PROPN
dem-4197	201	9	kombinowane	kombinowane	PROPN
dem-4197	201	10	z	z	PROPN
dem-4197	201	11	wykorzystaniem	wykorzystaniem	PROPN
dem-4197	201	12	wag	wag	NOUN
dem-4197	201	13	akaike’a	akaike’a	PROPN
dem-4197	201	14	(	(	PUNCT
dem-4197	201	15	combined	combine	VERB
dem-4197	201	16	forecasts	forecast	NOUN
dem-4197	201	17	using	use	VERB
dem-4197	201	18	akaike	akaike	ADJ
dem-4197	201	19	weights	weight	NOUN
dem-4197	201	20	)	)	PUNCT
dem-4197	201	21	,	,	PUNCT
dem-4197	201	22	acta	acta	PROPN
dem-4197	201	23	universitatis	universitatis	PROPN
dem-4197	201	24	nicolai	nicolai	PROPN
dem-4197	201	25	copernici	copernici	PROPN
dem-4197	201	26	,	,	PUNCT
dem-4197	201	27	ekonomia	ekonomia	PROPN
dem-4197	201	28	,	,	PUNCT
dem-4197	201	29	xxxix	xxxix	PROPN
dem-4197	201	30	,	,	PUNCT
dem-4197	201	31	51–62	51–62	NUM
dem-4197	201	32	.	.	PUNCT
dem-4197	201	33	piłatowska	piłatowska	PROPN
dem-4197	201	34	,	,	PUNCT
dem-4197	201	35	m.	m.	NOUN
dem-4197	201	36	(	(	PUNCT
dem-4197	201	37	2010	2010	NUM
dem-4197	201	38	)	)	PUNCT
dem-4197	201	39	,	,	PUNCT
dem-4197	201	40	kryteria	kryteria	PROPN
dem-4197	201	41	informacyjne	informacyjne	PROPN
dem-4197	201	42	w	w	PROPN
dem-4197	201	43	wyborze	wyborze	PROPN
dem-4197	201	44	modelu	modelu	PROPN
dem-4197	201	45	ekonometrycznego	ekonometrycznego	NOUN
dem-4197	201	46	(	(	PUNCT
dem-4197	201	47	information	information	NOUN
dem-4197	201	48	criteria	criterion	NOUN
dem-4197	201	49	in	in	ADP
dem-4197	201	50	model	model	NOUN
dem-4197	201	51	selection	selection	NOUN
dem-4197	201	52	)	)	PUNCT
dem-4197	201	53	,	,	PUNCT
dem-4197	201	54	studia	studia	PROPN
dem-4197	201	55	i	i	PROPN
dem-4197	201	56	prace	prace	VERB
dem-4197	201	57	uniwersytetu	uniwersytetu	VERB
dem-4197	201	58	ekonomicznego	ekonomicznego	PROPN
dem-4197	201	59	w	w	PROPN
dem-4197	201	60	krakowie	krakowie	PROPN
dem-4197	201	61	,	,	PUNCT
dem-4197	201	62	25–37	25–37	PROPN
dem-4197	201	63	.	.	PUNCT
dem-4197	202	1	quah	quah	PROPN
dem-4197	202	2	,	,	PUNCT
dem-4197	202	3	d.	d.	PROPN
dem-4197	202	4	(	(	PUNCT
dem-4197	202	5	1987	1987	NUM
dem-4197	202	6	)	)	PUNCT
dem-4197	202	7	,	,	PUNCT
dem-4197	202	8	what	what	PRON
dem-4197	202	9	do	do	AUX
dem-4197	202	10	we	we	PRON
dem-4197	202	11	learn	learn	VERB
dem-4197	202	12	from	from	ADP
dem-4197	202	13	unit	unit	NOUN
dem-4197	202	14	roots	root	NOUN
dem-4197	202	15	in	in	ADP
dem-4197	202	16	macroeconomic	macroeconomic	ADJ
dem-4197	202	17	series	series	NOUN
dem-4197	202	18	?	?	PUNCT
dem-4197	202	19	,	,	PUNCT
dem-4197	202	20	nber	nber	PROPN
dem-4197	202	21	working	working	PROPN
dem-4197	202	22	papers	paper	NOUN
dem-4197	202	23	,	,	PUNCT
dem-4197	202	24	nr	nr	PROPN
dem-4197	202	25	2450	2450	NUM
dem-4197	202	26	.	.	PUNCT
dem-4197	203	1	rissanen	rissanen	NOUN
dem-4197	203	2	,	,	PUNCT
dem-4197	203	3	j.	j.	PROPN
dem-4197	203	4	(	(	PUNCT
dem-4197	203	5	2003	2003	NUM
dem-4197	203	6	)	)	PUNCT
dem-4197	203	7	,	,	PUNCT
dem-4197	203	8	complexity	complexity	NOUN
dem-4197	203	9	of	of	ADP
dem-4197	203	10	simple	simple	ADJ
dem-4197	203	11	nonlogarithmic	nonlogarithmic	ADJ
dem-4197	203	12	loss	loss	NOUN
dem-4197	203	13	function	function	NOUN
dem-4197	203	14	,	,	PUNCT
dem-4197	203	15	ieee	ieee	NOUN
dem-4197	203	16	transactions	transaction	NOUN
dem-4197	203	17	on	on	ADP
dem-4197	203	18	information	information	NOUN
dem-4197	203	19	theory	theory	NOUN
dem-4197	203	20	,	,	PUNCT
dem-4197	203	21	49	49	NUM
dem-4197	203	22	,	,	PUNCT
dem-4197	203	23	476–484	476–484	NUM
dem-4197	203	24	.	.	PUNCT
dem-4197	204	1	rudebusch	rudebusch	PROPN
dem-4197	204	2	,	,	PUNCT
dem-4197	204	3	g.	g.	PROPN
dem-4197	204	4	d.	d.	PROPN
dem-4197	204	5	(	(	PUNCT
dem-4197	204	6	1993	1993	NUM
dem-4197	204	7	)	)	PUNCT
dem-4197	204	8	,	,	PUNCT
dem-4197	204	9	the	the	DET
dem-4197	204	10	uncertain	uncertain	ADJ
dem-4197	204	11	unit	unit	NOUN
dem-4197	204	12	root	root	NOUN
dem-4197	204	13	in	in	ADP
dem-4197	204	14	real	real	ADJ
dem-4197	204	15	gnp	gnp	PROPN
dem-4197	204	16	,	,	PUNCT
dem-4197	204	17	american	american	PROPN
dem-4197	204	18	economic	economic	PROPN
dem-4197	204	19	review	review	PROPN
dem-4197	204	20	,	,	PUNCT
dem-4197	204	21	83(1	83(1	PROPN
dem-4197	204	22	)	)	PUNCT
dem-4197	204	23	,	,	PUNCT
dem-4197	205	1	264–272	264–272	NUM
dem-4197	205	2	.	.	PUNCT
dem-4197	206	1	shao	shao	PROPN
dem-4197	206	2	,	,	PUNCT
dem-4197	206	3	j.	j.	PROPN
dem-4197	206	4	(	(	PUNCT
dem-4197	206	5	1997	1997	NUM
dem-4197	206	6	)	)	PUNCT
dem-4197	206	7	,	,	PUNCT
dem-4197	206	8	an	an	DET
dem-4197	206	9	asymptotic	asymptotic	ADJ
dem-4197	206	10	theory	theory	NOUN
dem-4197	206	11	for	for	ADP
dem-4197	206	12	linear	linear	PROPN
dem-4197	206	13	model	model	NOUN
dem-4197	206	14	selection	selection	NOUN
dem-4197	206	15	,	,	PUNCT
dem-4197	206	16	statistica	statistica	PROPN
dem-4197	206	17	sinica	sinica	PROPN
dem-4197	206	18	,	,	PUNCT
dem-4197	206	19	7	7	NUM
dem-4197	206	20	,	,	PUNCT
dem-4197	206	21	221–264	221–264	NUM
dem-4197	206	22	.	.	PUNCT
dem-4197	206	23	skouras	skouras	PROPN
dem-4197	206	24	,	,	PUNCT
dem-4197	206	25	k.	k.	PROPN
dem-4197	206	26	,	,	PUNCT
dem-4197	206	27	dawid	dawid	PROPN
dem-4197	206	28	,	,	PUNCT
dem-4197	206	29	a.	a.	NOUN
dem-4197	206	30	p.	p.	NOUN
dem-4197	206	31	(	(	PUNCT
dem-4197	206	32	1998	1998	NUM
dem-4197	206	33	)	)	PUNCT
dem-4197	206	34	,	,	PUNCT
dem-4197	206	35	on	on	ADP
dem-4197	206	36	efficient	efficient	ADJ
dem-4197	206	37	point	point	NOUN
dem-4197	206	38	prediction	prediction	NOUN
dem-4197	206	39	systems	system	NOUN
dem-4197	206	40	,	,	PUNCT
dem-4197	206	41	journal	journal	NOUN
dem-4197	206	42	of	of	ADP
dem-4197	206	43	royal	royal	ADJ
dem-4197	206	44	statistical	statistical	ADJ
dem-4197	206	45	society	society	NOUN
dem-4197	206	46	b	b	PROPN
dem-4197	206	47	,	,	PUNCT
dem-4197	206	48	60	60	NUM
dem-4197	206	49	,	,	PUNCT
dem-4197	206	50	765–780	765–780	NUM
dem-4197	206	51	.	.	PUNCT
dem-4197	206	52	sugiura	sugiura	NOUN
dem-4197	206	53	,	,	PUNCT
dem-4197	206	54	n.	n.	PROPN
dem-4197	206	55	(	(	PUNCT
dem-4197	206	56	1978	1978	NUM
dem-4197	206	57	)	)	PUNCT
dem-4197	206	58	,	,	PUNCT
dem-4197	206	59	further	further	ADJ
dem-4197	206	60	analysis	analysis	NOUN
dem-4197	206	61	of	of	ADP
dem-4197	206	62	the	the	DET
dem-4197	206	63	data	datum	NOUN
dem-4197	206	64	by	by	ADP
dem-4197	206	65	akaike	akaike	PROPN
dem-4197	206	66	’s	’s	PART
dem-4197	206	67	information	information	NOUN
dem-4197	206	68	criterion	criterion	NOUN
dem-4197	206	69	and	and	CCONJ
dem-4197	206	70	the	the	DET
dem-4197	206	71	finite	finite	ADJ
dem-4197	206	72	corrections	correction	NOUN
dem-4197	206	73	,	,	PUNCT
dem-4197	206	74	communications	communication	NOUN
dem-4197	206	75	in	in	ADP
dem-4197	206	76	statistics	statistic	NOUN
dem-4197	206	77	,	,	PUNCT
dem-4197	206	78	theory	theory	NOUN
dem-4197	206	79	and	and	CCONJ
dem-4197	206	80	methods	method	NOUN
dem-4197	206	81	,	,	PUNCT
dem-4197	206	82	a7	a7	PROPN
dem-4197	206	83	,	,	PUNCT
dem-4197	206	84	13–26	13–26	NUM
dem-4197	206	85	.	.	PUNCT
dem-4197	207	1	stock	stock	NOUN
dem-4197	207	2	,	,	PUNCT
dem-4197	207	3	j.	j.	PROPN
dem-4197	207	4	,	,	PUNCT
dem-4197	207	5	watson	watson	PROPN
dem-4197	207	6	,	,	PUNCT
dem-4197	207	7	m.	m.	NOUN
dem-4197	207	8	(	(	PUNCT
dem-4197	207	9	1986	1986	NUM
dem-4197	207	10	)	)	PUNCT
dem-4197	207	11	,	,	PUNCT
dem-4197	207	12	does	do	AUX
dem-4197	207	13	gnp	gnp	PROPN
dem-4197	207	14	have	have	VERB
dem-4197	207	15	a	a	DET
dem-4197	207	16	unit	unit	NOUN
dem-4197	207	17	root	root	NOUN
dem-4197	207	18	?	?	PUNCT
dem-4197	207	19	,	,	PUNCT
dem-4197	207	20	economics	economics	NOUN
dem-4197	207	21	letters	letter	NOUN
dem-4197	207	22	,	,	PUNCT
dem-4197	207	23	22(2/3	22(2/3	NUM
dem-4197	207	24	)	)	PUNCT
dem-4197	207	25	,	,	PUNCT
dem-4197	207	26	147–151	147–151	NUM
dem-4197	207	27	.	.	PUNCT
dem-4197	208	1	wagenmaker	wagenmaker	NOUN
dem-4197	208	2	,	,	PUNCT
dem-4197	208	3	e	e	PROPN
dem-4197	208	4	-	-	PROPN
dem-4197	208	5	j.	j.	PROPN
dem-4197	208	6	,	,	PUNCT
dem-4197	208	7	grünwald	grünwald	NOUN
dem-4197	208	8	,	,	PUNCT
dem-4197	208	9	p.	p.	NOUN
dem-4197	208	10	,	,	PUNCT
dem-4197	208	11	steyvers	steyver	NOUN
dem-4197	208	12	,	,	PUNCT
dem-4197	208	13	m.	m.	NOUN
dem-4197	208	14	(	(	PUNCT
dem-4197	208	15	2006	2006	NUM
dem-4197	208	16	)	)	PUNCT
dem-4197	208	17	,	,	PUNCT
dem-4197	208	18	accumulative	accumulative	ADJ
dem-4197	208	19	prediction	prediction	NOUN
dem-4197	208	20	error	error	NOUN
dem-4197	208	21	and	and	CCONJ
dem-4197	208	22	the	the	DET
dem-4197	208	23	selection	selection	NOUN
dem-4197	208	24	of	of	ADP
dem-4197	208	25	time	time	NOUN
dem-4197	208	26	series	series	PROPN
dem-4197	208	27	models	model	NOUN
dem-4197	208	28	,	,	PUNCT
dem-4197	208	29	journal	journal	NOUN
dem-4197	208	30	of	of	ADP
dem-4197	208	31	mathematical	mathematical	ADJ
dem-4197	208	32	psychology	psychology	NOUN
dem-4197	208	33	,	,	PUNCT
dem-4197	208	34	50	50	NUM
dem-4197	208	35	,	,	PUNCT
dem-4197	208	36	149–166	149–166	NUM
dem-4197	208	37	.	.	PUNCT
dem-4197	209	1	wybór	wybór	ADJ
dem-4197	209	2	modelu	modelu	NOUN
dem-4197	209	3	i	i	PRON
dem-4197	209	4	strategii	strategii	VERB
dem-4197	209	5	selekcji	selekcji	PROPN
dem-4197	209	6	modelu	modelu	PROPN
dem-4197	209	7	za	za	PROPN
dem-4197	209	8	pomocą	pomocą	PROPN
dem-4197	209	9	skumulowanego	skumulowanego	ADJ
dem-4197	209	10	błędu	błędu	NOUN
dem-4197	209	11	predykcji	predykcji	NOUN
dem-4197	209	12	z	z	PROPN
dem-4197	210	1	a	a	DET
dem-4197	210	2	r	r	NOUN
dem-4197	210	3	y	y	PROPN
dem-4197	210	4	s	s	PROPN
dem-4197	210	5	t	t	NOUN
dem-4197	210	6	r	r	NOUN
dem-4197	210	7	e	e	PROPN
dem-4197	210	8	ś	ś	PROPN
dem-4197	210	9	c	c	PROPN
dem-4197	210	10	i.	i.	PROPN
dem-4197	210	11	celem	celem	PROPN
dem-4197	210	12	artykułu	artykułu	PROPN
dem-4197	210	13	jest	jest	PROPN
dem-4197	210	14	prezentacja	prezentacja	PROPN
dem-4197	211	1	i	i	PRON
dem-4197	211	2	wykorzystanie	wykorzystanie	VERB
dem-4197	211	3	skumulowanego	skumulowanego	PROPN
dem-4197	211	4	błędu	błędu	PROPN
dem-4197	211	5	prognoz	prognoz	PROPN
dem-4197	211	6	na	na	ADP
dem-4197	211	7	jeden	jeden	PROPN
dem-4197	211	8	okres	okre	NOUN
dem-4197	211	9	naprzód	naprzód	VERB
dem-4197	211	10	(	(	PUNCT
dem-4197	211	11	ape	ape	NOUN
dem-4197	211	12	)	)	PUNCT
dem-4197	211	13	nie	nie	PROPN
dem-4197	211	14	tylko	tylko	PROPN
dem-4197	211	15	jako	jako	PROPN
dem-4197	211	16	metody	metody	PROPN
dem-4197	211	17	(	(	PUNCT
dem-4197	211	18	strategii	strategii	NOUN
dem-4197	211	19	)	)	PUNCT
dem-4197	211	20	wyboru	wyboru	PROPN
dem-4197	211	21	modelu	modelu	PROPN
dem-4197	211	22	,	,	PUNCT
dem-4197	211	23	ale	ale	PROPN
dem-4197	211	24	również	również	PROPN
dem-4197	211	25	jako	jako	PROPN
dem-4197	211	26	narzędzie	narzędzie	PROPN
dem-4197	211	27	do	do	VERB
dem-4197	211	28	wyboru	wyboru	PROPN
dem-4197	211	29	samej	samej	NOUN
dem-4197	211	30	strategii	strategii	NOUN
dem-4197	211	31	(	(	PUNCT
dem-4197	211	32	meta	meta	NOUN
dem-4197	211	33	-	-	PUNCT
dem-4197	211	34	wybór	wybór	NOUN
dem-4197	211	35	)	)	PUNCT
dem-4197	211	36	.	.	PUNCT
dem-4197	212	1	na	na	AUX
dem-4197	212	2	przykładach	przykładach	PROPN
dem-4197	212	3	empirycznych	empirycznych	PROPN
dem-4197	212	4	metoda	metoda	PROPN
dem-4197	212	5	ape	ape	PROPN
dem-4197	212	6	jest	jest	PROPN
dem-4197	212	7	porównywana	porównywana	PROPN
dem-4197	212	8	z	z	PROPN
dem-4197	212	9	metodami	metodami	PROPN
dem-4197	212	10	wykorzystującymi	wykorzystującymi	VERB
dem-4197	212	11	kryteria	kryteria	PROPN
dem-4197	212	12	informacyjne	informacyjne	PROPN
dem-4197	212	13	(	(	PUNCT
dem-4197	212	14	aic	aic	PROPN
dem-4197	212	15	i	i	PROPN
dem-4197	212	16	bic	bic	PROPN
dem-4197	212	17	)	)	PUNCT
dem-4197	212	18	.	.	PUNCT
dem-4197	213	1	otrzymane	otrzymane	PROPN
dem-4197	213	2	wyniki	wyniki	PROPN
dem-4197	213	3	wskazują	wskazują	VERB
dem-4197	213	4	na	na	PROPN
dem-4197	213	5	dużą	dużą	PROPN
dem-4197	213	6	praktyczną	praktyczną	ADJ
dem-4197	213	7	przydatność	przydatność	PROPN
dem-4197	213	8	metody	metody	ADJ
dem-4197	213	9	ape	ape	NOUN
dem-4197	213	10	.	.	PUNCT
dem-4197	214	1	s	s	PART
dem-4197	214	2	ł	ł	PROPN
dem-4197	214	3	o	o	X
dem-4197	214	4	w	w	NOUN
dem-4197	214	5	a	a	DET
dem-4197	214	6	k	k	X
dem-4197	214	7	l	l	NOUN
dem-4197	214	8	u	u	NOUN
dem-4197	215	1	c	c	NOUN
dem-4197	215	2	z	z	NOUN
dem-4197	215	3	o	o	X
dem-4197	215	4	w	w	PROPN
dem-4197	216	1	e	e	NOUN
dem-4197	216	2	:	:	PUNCT
dem-4197	216	3	wybór	wybór	ADJ
dem-4197	216	4	modelu	modelu	NOUN
dem-4197	216	5	,	,	PUNCT
dem-4197	216	6	meta	meta	NOUN
dem-4197	216	7	-	-	PUNCT
dem-4197	216	8	wybór	wybór	NOUN
dem-4197	216	9	,	,	PUNCT
dem-4197	216	10	kryteria	kryteria	PROPN
dem-4197	216	11	informacyjne	informacyjne	PROPN
dem-4197	216	12	,	,	PUNCT
dem-4197	216	13	skumulowany	skumulowany	ADJ
dem-4197	216	14	błąd	błąd	NOUN
dem-4197	216	15	prognoz	prognoz	PROPN