id	sid	tid	token	lemma	pos
ajst-2096	1	1	academic	academic	ADJ
ajst-2096	1	2	journal	journal	NOUN
ajst-2096	1	3	of	of	ADP
ajst-2096	1	4	science	science	NOUN
ajst-2096	1	5	and	and	CCONJ
ajst-2096	1	6	technology	technology	NOUN
ajst-2096	1	7	issn	issn	NOUN
ajst-2096	1	8	:	:	PUNCT
ajst-2096	1	9	2771	2771	NUM
ajst-2096	1	10	-	-	SYM
ajst-2096	1	11	3032	3032	NUM
ajst-2096	1	12	|	|	NOUN
ajst-2096	1	13	vol	vol	NOUN
ajst-2096	1	14	.	.	PROPN
ajst-2096	2	1	3	3	NUM
ajst-2096	2	2	,	,	PUNCT
ajst-2096	2	3	no	no	INTJ
ajst-2096	2	4	.	.	NOUN
ajst-2096	2	5	2	2	NUM
ajst-2096	2	6	,	,	PUNCT
ajst-2096	2	7	2022	2022	NUM
ajst-2096	2	8	78	78	NUM
ajst-2096	2	9	forecast	forecast	NOUN
ajst-2096	2	10	and	and	CCONJ
ajst-2096	2	11	analysis	analysis	NOUN
ajst-2096	2	12	of	of	ADP
ajst-2096	2	13	national	national	ADJ
ajst-2096	2	14	gdp	gdp	PROPN
ajst-2096	2	15	in	in	ADP
ajst-2096	2	16	china	china	PROPN
ajst-2096	2	17	based	base	VERB
ajst-2096	2	18	on	on	ADP
ajst-2096	2	19	arima	arima	PROPN
ajst-2096	2	20	model	model	PROPN
ajst-2096	2	21	yiqun	yiqun	PROPN
ajst-2096	2	22	liu1	liu1	PROPN
ajst-2096	2	23	,	,	PUNCT
ajst-2096	2	24	xiao	xiao	PROPN
ajst-2096	2	25	chen2	chen2	PROPN
ajst-2096	2	26	,	,	PUNCT
ajst-2096	2	27	qiqi	qiqi	PROPN
ajst-2096	2	28	wang3	wang3	PROPN
ajst-2096	2	29	,	,	PUNCT
ajst-2096	2	30	*	*	PROPN
ajst-2096	2	31	,	,	PUNCT
ajst-2096	2	32	lipeng	lipeng	PROPN
ajst-2096	2	33	zhu4	zhu4	PROPN
ajst-2096	2	34	,	,	PUNCT
ajst-2096	2	35	zejiong	zejiong	X
ajst-2096	2	36	zhou1	zhou1	PROPN
ajst-2096	3	1	1school	1school	NUM
ajst-2096	3	2	of	of	ADP
ajst-2096	3	3	economics	economic	NOUN
ajst-2096	3	4	,	,	PUNCT
ajst-2096	3	5	anhui	anhui	PROPN
ajst-2096	3	6	university	university	PROPN
ajst-2096	3	7	of	of	ADP
ajst-2096	3	8	finance	finance	NOUN
ajst-2096	3	9	and	and	CCONJ
ajst-2096	3	10	economics	economic	NOUN
ajst-2096	3	11	,	,	PUNCT
ajst-2096	3	12	anhui	anhui	PROPN
ajst-2096	3	13	,	,	PUNCT
ajst-2096	3	14	china	china	PROPN
ajst-2096	3	15	2school	2school	NUM
ajst-2096	3	16	of	of	ADP
ajst-2096	3	17	finance	finance	NOUN
ajst-2096	3	18	,	,	PUNCT
ajst-2096	3	19	anhui	anhui	PROPN
ajst-2096	3	20	university	university	PROPN
ajst-2096	3	21	of	of	ADP
ajst-2096	3	22	finance	finance	NOUN
ajst-2096	3	23	and	and	CCONJ
ajst-2096	3	24	economics	economic	NOUN
ajst-2096	3	25	,	,	PUNCT
ajst-2096	3	26	anhui	anhui	PROPN
ajst-2096	3	27	,	,	PUNCT
ajst-2096	3	28	china	china	PROPN
ajst-2096	3	29	3school	3school	NUM
ajst-2096	3	30	of	of	ADP
ajst-2096	3	31	economics	economic	NOUN
ajst-2096	3	32	and	and	CCONJ
ajst-2096	3	33	management	management	NOUN
ajst-2096	3	34	,	,	PUNCT
ajst-2096	3	35	anhui	anhui	PROPN
ajst-2096	3	36	university	university	PROPN
ajst-2096	3	37	of	of	ADP
ajst-2096	3	38	science	science	NOUN
ajst-2096	3	39	and	and	CCONJ
ajst-2096	3	40	technology	technology	NOUN
ajst-2096	3	41	,	,	PUNCT
ajst-2096	3	42	anhui	anhui	PROPN
ajst-2096	3	43	,	,	PUNCT
ajst-2096	3	44	china	china	PROPN
ajst-2096	3	45	4school	4school	NUM
ajst-2096	3	46	of	of	ADP
ajst-2096	3	47	geographic	geographic	ADJ
ajst-2096	3	48	information	information	NOUN
ajst-2096	3	49	and	and	CCONJ
ajst-2096	3	50	tourism	tourism	NOUN
ajst-2096	3	51	,	,	PUNCT
ajst-2096	3	52	chuzhou	chuzhou	PROPN
ajst-2096	3	53	university	university	PROPN
ajst-2096	3	54	,	,	PUNCT
ajst-2096	3	55	anhui	anhui	PROPN
ajst-2096	3	56	,	,	PUNCT
ajst-2096	3	57	china	china	PROPN
ajst-2096	3	58	*	*	PUNCT
ajst-2096	3	59	corresponding	correspond	VERB
ajst-2096	3	60	author	author	NOUN
ajst-2096	3	61	:	:	PUNCT
ajst-2096	3	62	2816513846@qq.com	2816513846@qq.com	NUM
ajst-2096	3	63	abstract	abstract	NOUN
ajst-2096	3	64	:	:	PUNCT
ajst-2096	3	65	gross	gross	ADJ
ajst-2096	3	66	domestic	domestic	ADJ
ajst-2096	3	67	product	product	NOUN
ajst-2096	3	68	(	(	PUNCT
ajst-2096	3	69	gdp	gdp	NOUN
ajst-2096	3	70	)	)	PUNCT
ajst-2096	3	71	is	be	AUX
ajst-2096	3	72	an	an	DET
ajst-2096	3	73	important	important	ADJ
ajst-2096	3	74	indicator	indicator	NOUN
ajst-2096	3	75	to	to	PART
ajst-2096	3	76	measure	measure	VERB
ajst-2096	3	77	the	the	DET
ajst-2096	3	78	economic	economic	ADJ
ajst-2096	3	79	situation	situation	NOUN
ajst-2096	3	80	and	and	CCONJ
ajst-2096	3	81	development	development	NOUN
ajst-2096	3	82	level	level	NOUN
ajst-2096	3	83	of	of	ADP
ajst-2096	3	84	a	a	DET
ajst-2096	3	85	country	country	NOUN
ajst-2096	3	86	or	or	CCONJ
ajst-2096	3	87	region	region	NOUN
ajst-2096	3	88	,	,	PUNCT
ajst-2096	3	89	which	which	PRON
ajst-2096	3	90	is	be	AUX
ajst-2096	3	91	of	of	ADP
ajst-2096	3	92	great	great	ADJ
ajst-2096	3	93	significance	significance	NOUN
ajst-2096	3	94	in	in	ADP
ajst-2096	3	95	promoting	promote	VERB
ajst-2096	3	96	steady	steady	ADJ
ajst-2096	3	97	economic	economic	ADJ
ajst-2096	3	98	development	development	NOUN
ajst-2096	3	99	.	.	PUNCT
ajst-2096	4	1	therefore	therefore	ADV
ajst-2096	4	2	,	,	PUNCT
ajst-2096	4	3	this	this	DET
ajst-2096	4	4	paper	paper	NOUN
ajst-2096	4	5	selects	select	VERB
ajst-2096	4	6	the	the	DET
ajst-2096	4	7	national	national	PROPN
ajst-2096	4	8	gdp	gdp	PROPN
ajst-2096	4	9	data	datum	NOUN
ajst-2096	4	10	from	from	ADP
ajst-2096	4	11	1978	1978	NUM
ajst-2096	4	12	to	to	ADP
ajst-2096	4	13	2019	2019	NUM
ajst-2096	4	14	,	,	PUNCT
ajst-2096	4	15	uses	use	VERB
ajst-2096	4	16	eviews	eviews	PROPN
ajst-2096	4	17	9.0	9.0	NUM
ajst-2096	4	18	software	software	NOUN
ajst-2096	4	19	to	to	PART
ajst-2096	4	20	build	build	VERB
ajst-2096	4	21	a	a	DET
ajst-2096	4	22	model	model	NOUN
ajst-2096	4	23	for	for	ADP
ajst-2096	4	24	the	the	DET
ajst-2096	4	25	selected	select	VERB
ajst-2096	4	26	time	time	NOUN
ajst-2096	4	27	series	series	NOUN
ajst-2096	4	28	,	,	PUNCT
ajst-2096	4	29	and	and	CCONJ
ajst-2096	4	30	finally	finally	ADV
ajst-2096	4	31	determines	determine	VERB
ajst-2096	4	32	arima	arima	PROPN
ajst-2096	4	33	(	(	PUNCT
ajst-2096	4	34	1	1	NUM
ajst-2096	4	35	,	,	PUNCT
ajst-2096	4	36	1	1	NUM
ajst-2096	4	37	,	,	PUNCT
ajst-2096	4	38	1	1	NUM
ajst-2096	4	39	)	)	PUNCT
ajst-2096	4	40	as	as	ADP
ajst-2096	4	41	the	the	DET
ajst-2096	4	42	optimal	optimal	ADJ
ajst-2096	4	43	model	model	NOUN
ajst-2096	4	44	,	,	PUNCT
ajst-2096	4	45	and	and	CCONJ
ajst-2096	4	46	forecasts	forecast	NOUN
ajst-2096	4	47	and	and	CCONJ
ajst-2096	4	48	analyzes	analyze	VERB
ajst-2096	4	49	the	the	DET
ajst-2096	4	50	national	national	ADJ
ajst-2096	4	51	gdp	gdp	NOUN
ajst-2096	4	52	in	in	ADP
ajst-2096	4	53	2020	2020	NUM
ajst-2096	4	54	and	and	CCONJ
ajst-2096	4	55	2021	2021	NUM
ajst-2096	4	56	.	.	PUNCT
ajst-2096	5	1	the	the	DET
ajst-2096	5	2	prediction	prediction	NOUN
ajst-2096	5	3	results	result	NOUN
ajst-2096	5	4	show	show	VERB
ajst-2096	5	5	that	that	SCONJ
ajst-2096	5	6	the	the	DET
ajst-2096	5	7	gap	gap	NOUN
ajst-2096	5	8	between	between	ADP
ajst-2096	5	9	the	the	DET
ajst-2096	5	10	predicted	predict	VERB
ajst-2096	5	11	gdp	gdp	NOUN
ajst-2096	5	12	in	in	ADP
ajst-2096	5	13	2020	2020	NUM
ajst-2096	5	14	and	and	CCONJ
ajst-2096	5	15	2021	2021	NUM
ajst-2096	5	16	and	and	CCONJ
ajst-2096	5	17	the	the	DET
ajst-2096	5	18	actual	actual	ADJ
ajst-2096	5	19	value	value	NOUN
ajst-2096	5	20	is	be	AUX
ajst-2096	5	21	small	small	ADJ
ajst-2096	5	22	.	.	PUNCT
ajst-2096	6	1	therefore	therefore	ADV
ajst-2096	6	2	,	,	PUNCT
ajst-2096	6	3	arima	arima	PROPN
ajst-2096	6	4	model	model	NOUN
ajst-2096	6	5	can	can	AUX
ajst-2096	6	6	better	well	ADV
ajst-2096	6	7	reflect	reflect	VERB
ajst-2096	6	8	the	the	DET
ajst-2096	6	9	development	development	NOUN
ajst-2096	6	10	trend	trend	NOUN
ajst-2096	6	11	and	and	CCONJ
ajst-2096	6	12	short	short	ADJ
ajst-2096	6	13	-	-	PUNCT
ajst-2096	6	14	term	term	NOUN
ajst-2096	6	15	forecast	forecast	NOUN
ajst-2096	6	16	of	of	ADP
ajst-2096	6	17	national	national	PROPN
ajst-2096	6	18	gdp	gdp	PROPN
ajst-2096	6	19	.	.	PUNCT
ajst-2096	7	1	keywords	keyword	NOUN
ajst-2096	7	2	:	:	PUNCT
ajst-2096	7	3	gdp	gdp	NOUN
ajst-2096	7	4	,	,	PUNCT
ajst-2096	7	5	time	time	NOUN
ajst-2096	7	6	series	series	PROPN
ajst-2096	7	7	,	,	PUNCT
ajst-2096	7	8	arima	arima	PROPN
ajst-2096	7	9	model	model	NOUN
ajst-2096	7	10	.	.	PUNCT
ajst-2096	8	1	1	1	X
ajst-2096	8	2	.	.	X
ajst-2096	8	3	introduction	introduction	NOUN
ajst-2096	8	4	gross	gross	ADJ
ajst-2096	8	5	domestic	domestic	ADJ
ajst-2096	8	6	product	product	NOUN
ajst-2096	8	7	(	(	PUNCT
ajst-2096	8	8	gdp	gdp	NOUN
ajst-2096	8	9	)	)	PUNCT
ajst-2096	8	10	is	be	AUX
ajst-2096	8	11	the	the	DET
ajst-2096	8	12	final	final	ADJ
ajst-2096	8	13	outcome	outcome	NOUN
ajst-2096	8	14	of	of	ADP
ajst-2096	8	15	production	production	NOUN
ajst-2096	8	16	activities	activity	NOUN
ajst-2096	8	17	of	of	ADP
ajst-2096	8	18	all	all	DET
ajst-2096	8	19	permanent	permanent	ADJ
ajst-2096	8	20	residents	resident	NOUN
ajst-2096	8	21	of	of	ADP
ajst-2096	8	22	a	a	DET
ajst-2096	8	23	country	country	NOUN
ajst-2096	8	24	(	(	PUNCT
ajst-2096	8	25	or	or	CCONJ
ajst-2096	8	26	region	region	NOUN
ajst-2096	8	27	)	)	PUNCT
ajst-2096	8	28	in	in	ADP
ajst-2096	8	29	a	a	DET
ajst-2096	8	30	certain	certain	ADJ
ajst-2096	8	31	period	period	NOUN
ajst-2096	8	32	of	of	ADP
ajst-2096	8	33	time	time	NOUN
ajst-2096	8	34	.	.	PUNCT
ajst-2096	9	1	gdp	gdp	NOUN
ajst-2096	9	2	is	be	AUX
ajst-2096	9	3	not	not	PART
ajst-2096	9	4	only	only	ADV
ajst-2096	9	5	the	the	DET
ajst-2096	9	6	core	core	ADJ
ajst-2096	9	7	indicator	indicator	NOUN
ajst-2096	9	8	of	of	ADP
ajst-2096	9	9	national	national	ADJ
ajst-2096	9	10	economic	economic	ADJ
ajst-2096	9	11	accounting	accounting	NOUN
ajst-2096	9	12	,	,	PUNCT
ajst-2096	9	13	but	but	CCONJ
ajst-2096	9	14	also	also	ADV
ajst-2096	9	15	an	an	DET
ajst-2096	9	16	important	important	ADJ
ajst-2096	9	17	indicator	indicator	NOUN
ajst-2096	9	18	to	to	PART
ajst-2096	9	19	measure	measure	VERB
ajst-2096	9	20	the	the	DET
ajst-2096	9	21	economic	economic	ADJ
ajst-2096	9	22	situation	situation	NOUN
ajst-2096	9	23	and	and	CCONJ
ajst-2096	9	24	development	development	NOUN
ajst-2096	9	25	level	level	NOUN
ajst-2096	9	26	of	of	ADP
ajst-2096	9	27	a	a	DET
ajst-2096	9	28	country	country	NOUN
ajst-2096	9	29	or	or	CCONJ
ajst-2096	9	30	region	region	NOUN
ajst-2096	9	31	.	.	PUNCT
ajst-2096	10	1	on	on	ADP
ajst-2096	10	2	the	the	DET
ajst-2096	10	3	one	one	NUM
ajst-2096	10	4	hand	hand	NOUN
ajst-2096	10	5	,	,	PUNCT
ajst-2096	10	6	forecasting	forecast	VERB
ajst-2096	10	7	the	the	DET
ajst-2096	10	8	future	future	ADJ
ajst-2096	10	9	gdp	gdp	NOUN
ajst-2096	10	10	can	can	AUX
ajst-2096	10	11	provide	provide	VERB
ajst-2096	10	12	guidance	guidance	NOUN
ajst-2096	10	13	for	for	ADP
ajst-2096	10	14	promoting	promote	VERB
ajst-2096	10	15	macroeconomic	macroeconomic	ADJ
ajst-2096	10	16	development	development	NOUN
ajst-2096	10	17	;	;	PUNCT
ajst-2096	10	18	on	on	ADP
ajst-2096	10	19	the	the	DET
ajst-2096	10	20	other	other	ADJ
ajst-2096	10	21	hand	hand	NOUN
ajst-2096	10	22	,	,	PUNCT
ajst-2096	10	23	it	it	PRON
ajst-2096	10	24	is	be	AUX
ajst-2096	10	25	helpful	helpful	ADJ
ajst-2096	10	26	for	for	ADP
ajst-2096	10	27	the	the	DET
ajst-2096	10	28	government	government	NOUN
ajst-2096	10	29	or	or	CCONJ
ajst-2096	10	30	other	other	ADJ
ajst-2096	10	31	financial	financial	ADJ
ajst-2096	10	32	institutions	institution	NOUN
ajst-2096	10	33	to	to	PART
ajst-2096	10	34	make	make	VERB
ajst-2096	10	35	relevant	relevant	ADJ
ajst-2096	10	36	decisions	decision	NOUN
ajst-2096	10	37	in	in	ADP
ajst-2096	10	38	a	a	DET
ajst-2096	10	39	timely	timely	ADJ
ajst-2096	10	40	manner	manner	NOUN
ajst-2096	10	41	.	.	PUNCT
ajst-2096	11	1	at	at	ADP
ajst-2096	11	2	present	present	ADJ
ajst-2096	11	3	,	,	PUNCT
ajst-2096	11	4	many	many	ADJ
ajst-2096	11	5	domestic	domestic	ADJ
ajst-2096	11	6	scholars	scholar	NOUN
ajst-2096	11	7	conduct	conduct	VERB
ajst-2096	11	8	empirical	empirical	ADJ
ajst-2096	11	9	analysis	analysis	NOUN
ajst-2096	11	10	and	and	CCONJ
ajst-2096	11	11	prediction	prediction	NOUN
ajst-2096	11	12	of	of	ADP
ajst-2096	11	13	gdp	gdp	NOUN
ajst-2096	11	14	from	from	ADP
ajst-2096	11	15	different	different	ADJ
ajst-2096	11	16	perspectives	perspective	NOUN
ajst-2096	11	17	and	and	CCONJ
ajst-2096	11	18	using	use	VERB
ajst-2096	11	19	different	different	ADJ
ajst-2096	11	20	methods	method	NOUN
ajst-2096	11	21	.	.	PUNCT
ajst-2096	12	1	the	the	DET
ajst-2096	12	2	first	first	ADJ
ajst-2096	12	3	part	part	NOUN
ajst-2096	12	4	is	be	AUX
ajst-2096	12	5	the	the	DET
ajst-2096	12	6	research	research	NOUN
ajst-2096	12	7	on	on	ADP
ajst-2096	12	8	the	the	DET
ajst-2096	12	9	time	time	NOUN
ajst-2096	12	10	series	series	PROPN
ajst-2096	12	11	analysis	analysis	NOUN
ajst-2096	12	12	of	of	ADP
ajst-2096	12	13	arima	arima	PROPN
ajst-2096	12	14	model	model	NOUN
ajst-2096	12	15	.	.	PUNCT
ajst-2096	13	1	huang	huang	PROPN
ajst-2096	13	2	et	et	PROPN
ajst-2096	13	3	al	al	PROPN
ajst-2096	13	4	.	.	PROPN
ajst-2096	14	1	(	(	PUNCT
ajst-2096	14	2	2019	2019	NUM
ajst-2096	14	3	)	)	PUNCT
ajst-2096	14	4	used	use	VERB
ajst-2096	14	5	the	the	DET
ajst-2096	14	6	arma	arma	PROPN
ajst-2096	14	7	model	model	NOUN
ajst-2096	14	8	and	and	CCONJ
ajst-2096	14	9	ols	ol	NOUN
ajst-2096	14	10	to	to	PART
ajst-2096	14	11	estimate	estimate	VERB
ajst-2096	14	12	the	the	DET
ajst-2096	14	13	parameters	parameter	NOUN
ajst-2096	14	14	,	,	PUNCT
ajst-2096	14	15	studied	study	VERB
ajst-2096	14	16	the	the	DET
ajst-2096	14	17	residents	resident	NOUN
ajst-2096	14	18	'	'	PART
ajst-2096	14	19	consumption	consumption	NOUN
ajst-2096	14	20	level	level	NOUN
ajst-2096	14	21	in	in	ADP
ajst-2096	14	22	hunan	hunan	PROPN
ajst-2096	14	23	province	province	PROPN
ajst-2096	14	24	from	from	ADP
ajst-2096	14	25	1978	1978	NUM
ajst-2096	14	26	to	to	ADP
ajst-2096	14	27	2017	2017	NUM
ajst-2096	14	28	,	,	PUNCT
ajst-2096	14	29	and	and	CCONJ
ajst-2096	14	30	finally	finally	ADV
ajst-2096	14	31	concluded	conclude	VERB
ajst-2096	14	32	that	that	SCONJ
ajst-2096	14	33	the	the	DET
ajst-2096	14	34	gap	gap	NOUN
ajst-2096	14	35	of	of	ADP
ajst-2096	14	36	residents	resident	NOUN
ajst-2096	14	37	'	'	PART
ajst-2096	14	38	consumption	consumption	NOUN
ajst-2096	14	39	level	level	NOUN
ajst-2096	14	40	in	in	ADP
ajst-2096	14	41	hunan	hunan	PROPN
ajst-2096	14	42	province	province	PROPN
ajst-2096	14	43	in	in	ADP
ajst-2096	14	44	the	the	DET
ajst-2096	14	45	next	next	ADJ
ajst-2096	14	46	three	three	NUM
ajst-2096	14	47	years	year	NOUN
ajst-2096	14	48	is	be	AUX
ajst-2096	14	49	still	still	ADV
ajst-2096	14	50	expanding	expand	VERB
ajst-2096	14	51	in	in	ADP
ajst-2096	14	52	general	general	ADJ
ajst-2096	14	53	,	,	PUNCT
ajst-2096	14	54	but	but	CCONJ
ajst-2096	14	55	the	the	DET
ajst-2096	14	56	range	range	NOUN
ajst-2096	14	57	is	be	AUX
ajst-2096	14	58	decreasing	decrease	VERB
ajst-2096	14	59	[	[	X
ajst-2096	14	60	1	1	NUM
ajst-2096	14	61	]	]	PUNCT
ajst-2096	14	62	.	.	PUNCT
ajst-2096	15	1	wang	wang	PROPN
ajst-2096	15	2	(	(	PUNCT
ajst-2096	15	3	2017	2017	NUM
ajst-2096	15	4	)	)	PUNCT
ajst-2096	15	5	selected	select	VERB
ajst-2096	15	6	the	the	DET
ajst-2096	15	7	monthly	monthly	ADJ
ajst-2096	15	8	report	report	NOUN
ajst-2096	15	9	data	datum	NOUN
ajst-2096	15	10	of	of	ADP
ajst-2096	15	11	oto	oto	PROPN
ajst-2096	15	12	e	e	PROPN
ajst-2096	15	13	-	-	PROPN
ajst-2096	15	14	commerce	commerce	NOUN
ajst-2096	15	15	sales	sale	NOUN
ajst-2096	15	16	of	of	ADP
ajst-2096	15	17	counties	county	NOUN
ajst-2096	15	18	and	and	CCONJ
ajst-2096	15	19	districts	district	NOUN
ajst-2096	15	20	in	in	ADP
ajst-2096	15	21	longnan	longnan	NOUN
ajst-2096	15	22	from	from	ADP
ajst-2096	15	23	december	december	PROPN
ajst-2096	15	24	2014	2014	NUM
ajst-2096	15	25	to	to	ADP
ajst-2096	15	26	july	july	PROPN
ajst-2096	15	27	2017	2017	NUM
ajst-2096	15	28	,	,	PUNCT
ajst-2096	15	29	and	and	CCONJ
ajst-2096	15	30	used	use	VERB
ajst-2096	15	31	eviews8.0	eviews8.0	PROPN
ajst-2096	15	32	software	software	NOUN
ajst-2096	15	33	to	to	PART
ajst-2096	15	34	establish	establish	VERB
ajst-2096	15	35	a	a	DET
ajst-2096	15	36	stable	stable	ADJ
ajst-2096	15	37	time	time	NOUN
ajst-2096	15	38	series	series	PROPN
ajst-2096	15	39	arma	arma	PROPN
ajst-2096	15	40	model	model	PROPN
ajst-2096	15	41	to	to	PART
ajst-2096	15	42	conduct	conduct	VERB
ajst-2096	15	43	an	an	DET
ajst-2096	15	44	empirical	empirical	ADJ
ajst-2096	15	45	analysis	analysis	NOUN
ajst-2096	15	46	on	on	ADP
ajst-2096	15	47	the	the	DET
ajst-2096	15	48	development	development	NOUN
ajst-2096	15	49	of	of	ADP
ajst-2096	15	50	agricultural	agricultural	ADJ
ajst-2096	15	51	e	e	NOUN
ajst-2096	15	52	-	-	NOUN
ajst-2096	15	53	commerce	commerce	NOUN
ajst-2096	15	54	in	in	ADP
ajst-2096	15	55	longnan	longnan	PROPN
ajst-2096	16	1	[	[	X
ajst-2096	16	2	2	2	NUM
ajst-2096	16	3	]	]	PUNCT
ajst-2096	16	4	.	.	PUNCT
ajst-2096	17	1	the	the	DET
ajst-2096	17	2	second	second	ADJ
ajst-2096	17	3	is	be	AUX
ajst-2096	17	4	the	the	DET
ajst-2096	17	5	research	research	NOUN
ajst-2096	17	6	on	on	ADP
ajst-2096	17	7	the	the	DET
ajst-2096	17	8	prediction	prediction	NOUN
ajst-2096	17	9	of	of	ADP
ajst-2096	17	10	the	the	DET
ajst-2096	17	11	results	result	NOUN
ajst-2096	17	12	of	of	ADP
ajst-2096	17	13	time	time	NOUN
ajst-2096	17	14	series	series	PROPN
ajst-2096	17	15	analysis	analysis	NOUN
ajst-2096	17	16	.	.	PUNCT
ajst-2096	18	1	during	during	ADP
ajst-2096	18	2	the	the	DET
ajst-2096	18	3	prediction	prediction	NOUN
ajst-2096	18	4	phase	phase	NOUN
ajst-2096	18	5	,	,	PUNCT
ajst-2096	18	6	wang	wang	PROPN
ajst-2096	18	7	et	et	PROPN
ajst-2096	18	8	al	al	PROPN
ajst-2096	18	9	.	.	PROPN
ajst-2096	18	10	(	(	PUNCT
ajst-2096	18	11	2019	2019	NUM
ajst-2096	18	12	)	)	PUNCT
ajst-2096	18	13	compared	compare	VERB
ajst-2096	18	14	arima	arima	PROPN
ajst-2096	18	15	model	model	NOUN
ajst-2096	18	16	with	with	ADP
ajst-2096	18	17	holter	holter	PROPN
ajst-2096	18	18	winter	winter	NOUN
ajst-2096	18	19	prediction	prediction	NOUN
ajst-2096	18	20	model	model	NOUN
ajst-2096	18	21	and	and	CCONJ
ajst-2096	18	22	found	find	VERB
ajst-2096	18	23	that	that	SCONJ
ajst-2096	18	24	the	the	DET
ajst-2096	18	25	relative	relative	ADJ
ajst-2096	18	26	errors	error	NOUN
ajst-2096	18	27	of	of	ADP
ajst-2096	18	28	prediction	prediction	NOUN
ajst-2096	18	29	values	value	NOUN
ajst-2096	18	30	were	be	AUX
ajst-2096	18	31	0.053	0.053	NUM
ajst-2096	18	32	and	and	CCONJ
ajst-2096	18	33	0.072	0.072	NUM
ajst-2096	18	34	respectively	respectively	ADV
ajst-2096	18	35	,	,	PUNCT
ajst-2096	18	36	which	which	PRON
ajst-2096	18	37	proved	prove	VERB
ajst-2096	18	38	that	that	SCONJ
ajst-2096	18	39	arima	arima	PROPN
ajst-2096	18	40	model	model	NOUN
ajst-2096	18	41	had	have	VERB
ajst-2096	18	42	high	high	ADJ
ajst-2096	18	43	reliability	reliability	NOUN
ajst-2096	18	44	[	[	X
ajst-2096	18	45	3	3	NUM
ajst-2096	18	46	]	]	PUNCT
ajst-2096	18	47	.	.	PUNCT
ajst-2096	19	1	in	in	ADP
ajst-2096	19	2	time	time	NOUN
ajst-2096	19	3	series	series	NOUN
ajst-2096	19	4	analysis	analysis	NOUN
ajst-2096	19	5	and	and	CCONJ
ajst-2096	19	6	prediction	prediction	NOUN
ajst-2096	19	7	,	,	PUNCT
ajst-2096	19	8	actual	actual	ADJ
ajst-2096	19	9	value	value	NOUN
ajst-2096	19	10	and	and	CCONJ
ajst-2096	19	11	predicted	predict	VERB
ajst-2096	19	12	value	value	NOUN
ajst-2096	19	13	are	be	AUX
ajst-2096	19	14	often	often	ADV
ajst-2096	19	15	inconsistent	inconsistent	ADJ
ajst-2096	19	16	.	.	PUNCT
ajst-2096	20	1	when	when	SCONJ
ajst-2096	20	2	wang	wang	PROPN
ajst-2096	20	3	(	(	PUNCT
ajst-2096	20	4	2017	2017	NUM
ajst-2096	20	5	)	)	PUNCT
ajst-2096	20	6	predicted	predict	VERB
ajst-2096	20	7	the	the	DET
ajst-2096	20	8	e	e	PROPN
ajst-2096	20	9	-	-	NOUN
ajst-2096	20	10	commerce	commerce	NOUN
ajst-2096	20	11	sales	sale	NOUN
ajst-2096	20	12	,	,	PUNCT
ajst-2096	20	13	there	there	PRON
ajst-2096	20	14	was	be	VERB
ajst-2096	20	15	a	a	DET
ajst-2096	20	16	large	large	ADJ
ajst-2096	20	17	difference	difference	NOUN
ajst-2096	20	18	between	between	ADP
ajst-2096	20	19	the	the	DET
ajst-2096	20	20	actual	actual	ADJ
ajst-2096	20	21	value	value	NOUN
ajst-2096	20	22	and	and	CCONJ
ajst-2096	20	23	the	the	DET
ajst-2096	20	24	predicted	predict	VERB
ajst-2096	20	25	value	value	NOUN
ajst-2096	20	26	.	.	PUNCT
ajst-2096	21	1	he	he	PRON
ajst-2096	21	2	believed	believe	VERB
ajst-2096	21	3	that	that	SCONJ
ajst-2096	21	4	the	the	DET
ajst-2096	21	5	data	data	NOUN
ajst-2096	21	6	deviation	deviation	NOUN
ajst-2096	21	7	was	be	AUX
ajst-2096	21	8	caused	cause	VERB
ajst-2096	21	9	by	by	ADP
ajst-2096	21	10	the	the	DET
ajst-2096	21	11	small	small	ADJ
ajst-2096	21	12	amount	amount	NOUN
ajst-2096	21	13	of	of	ADP
ajst-2096	21	14	data	datum	NOUN
ajst-2096	21	15	and	and	CCONJ
ajst-2096	21	16	the	the	DET
ajst-2096	21	17	lack	lack	NOUN
ajst-2096	21	18	of	of	ADP
ajst-2096	21	19	obvious	obvious	ADJ
ajst-2096	21	20	seasonality	seasonality	NOUN
ajst-2096	22	1	[	[	X
ajst-2096	22	2	2	2	NUM
ajst-2096	22	3	]	]	PUNCT
ajst-2096	22	4	.	.	PUNCT
ajst-2096	23	1	tang	tang	PROPN
ajst-2096	23	2	et	et	PROPN
ajst-2096	23	3	al	al	PROPN
ajst-2096	23	4	.	.	PROPN
ajst-2096	24	1	(	(	PUNCT
ajst-2096	24	2	2017	2017	NUM
ajst-2096	24	3	)	)	PUNCT
ajst-2096	24	4	used	use	VERB
ajst-2096	24	5	eviews	eviews	PROPN
ajst-2096	24	6	software	software	NOUN
ajst-2096	24	7	to	to	PART
ajst-2096	24	8	study	study	VERB
ajst-2096	24	9	population	population	NOUN
ajst-2096	24	10	growth	growth	NOUN
ajst-2096	24	11	,	,	PUNCT
ajst-2096	24	12	birth	birth	NOUN
ajst-2096	24	13	rate	rate	NOUN
ajst-2096	24	14	,	,	PUNCT
ajst-2096	24	15	gender	gender	NOUN
ajst-2096	24	16	ratio	ratio	NOUN
ajst-2096	24	17	between	between	ADP
ajst-2096	24	18	men	man	NOUN
ajst-2096	24	19	and	and	CCONJ
ajst-2096	24	20	women	woman	NOUN
ajst-2096	24	21	,	,	PUNCT
ajst-2096	24	22	agricultural	agricultural	ADJ
ajst-2096	24	23	and	and	CCONJ
ajst-2096	24	24	non	non	ADJ
ajst-2096	24	25	-	-	ADJ
ajst-2096	24	26	agricultural	agricultural	ADJ
ajst-2096	24	27	proportion	proportion	NOUN
ajst-2096	24	28	and	and	CCONJ
ajst-2096	24	29	other	other	ADJ
ajst-2096	24	30	relevant	relevant	ADJ
ajst-2096	24	31	demographic	demographic	ADJ
ajst-2096	24	32	indicators	indicator	NOUN
ajst-2096	24	33	,	,	PUNCT
ajst-2096	24	34	established	establish	VERB
ajst-2096	24	35	corresponding	corresponding	ADJ
ajst-2096	24	36	time	time	NOUN
ajst-2096	24	37	series	series	NOUN
ajst-2096	24	38	models	model	NOUN
ajst-2096	24	39	such	such	ADJ
ajst-2096	24	40	as	as	ADP
ajst-2096	24	41	ar	ar	PROPN
ajst-2096	24	42	model	model	NOUN
ajst-2096	24	43	,	,	PUNCT
ajst-2096	24	44	ma	ma	PROPN
ajst-2096	24	45	model	model	PROPN
ajst-2096	24	46	and	and	CCONJ
ajst-2096	24	47	arima	arima	PROPN
ajst-2096	24	48	model	model	NOUN
ajst-2096	24	49	,	,	PUNCT
ajst-2096	24	50	and	and	CCONJ
ajst-2096	24	51	predicted	predict	VERB
ajst-2096	24	52	the	the	DET
ajst-2096	24	53	demographic	demographic	ADJ
ajst-2096	24	54	change	change	NOUN
ajst-2096	24	55	trend	trend	NOUN
ajst-2096	24	56	of	of	ADP
ajst-2096	24	57	a	a	DET
ajst-2096	24	58	region	region	NOUN
ajst-2096	24	59	in	in	ADP
ajst-2096	24	60	the	the	DET
ajst-2096	24	61	next	next	ADJ
ajst-2096	24	62	20	20	NUM
ajst-2096	24	63	years	year	NOUN
ajst-2096	24	64	without	without	ADP
ajst-2096	24	65	the	the	DET
ajst-2096	24	66	implementation	implementation	NOUN
ajst-2096	24	67	of	of	ADP
ajst-2096	24	68	the	the	DET
ajst-2096	24	69	two	two	NUM
ajst-2096	24	70	child	child	NOUN
ajst-2096	24	71	policy	policy	NOUN
ajst-2096	25	1	[	[	X
ajst-2096	25	2	4	4	NUM
ajst-2096	25	3	]	]	PUNCT
ajst-2096	25	4	.	.	PUNCT
ajst-2096	26	1	hao	hao	PROPN
ajst-2096	26	2	(	(	PUNCT
ajst-2096	26	3	2021	2021	NUM
ajst-2096	26	4	)	)	PUNCT
ajst-2096	26	5	used	use	VERB
ajst-2096	26	6	the	the	DET
ajst-2096	26	7	quarterly	quarterly	ADJ
ajst-2096	26	8	time	time	NOUN
ajst-2096	26	9	series	series	PROPN
ajst-2096	26	10	data	datum	NOUN
ajst-2096	26	11	from	from	ADP
ajst-2096	26	12	2005	2005	NUM
ajst-2096	26	13	to	to	ADP
ajst-2096	26	14	2018	2018	NUM
ajst-2096	26	15	to	to	PART
ajst-2096	26	16	analyze	analyze	VERB
ajst-2096	26	17	the	the	DET
ajst-2096	26	18	impact	impact	NOUN
ajst-2096	26	19	of	of	ADP
ajst-2096	26	20	financial	financial	ADJ
ajst-2096	26	21	industry	industry	NOUN
ajst-2096	26	22	development	development	NOUN
ajst-2096	26	23	on	on	ADP
ajst-2096	26	24	the	the	DET
ajst-2096	26	25	cultural	cultural	ADJ
ajst-2096	26	26	industry	industry	NOUN
ajst-2096	26	27	from	from	ADP
ajst-2096	26	28	three	three	NUM
ajst-2096	26	29	aspects	aspect	NOUN
ajst-2096	26	30	:	:	PUNCT
ajst-2096	26	31	direct	direct	ADJ
ajst-2096	26	32	finance	finance	NOUN
ajst-2096	26	33	,	,	PUNCT
ajst-2096	26	34	indirect	indirect	ADJ
ajst-2096	26	35	finance	finance	NOUN
ajst-2096	26	36	and	and	CCONJ
ajst-2096	26	37	financial	financial	ADJ
ajst-2096	26	38	efficiency	efficiency	NOUN
ajst-2096	26	39	,	,	PUNCT
ajst-2096	26	40	and	and	CCONJ
ajst-2096	26	41	put	put	VERB
ajst-2096	26	42	forward	forward	ADP
ajst-2096	26	43	suggestions	suggestion	NOUN
ajst-2096	26	44	to	to	PART
ajst-2096	26	45	promote	promote	VERB
ajst-2096	26	46	the	the	DET
ajst-2096	26	47	coordinated	coordinated	ADJ
ajst-2096	26	48	development	development	NOUN
ajst-2096	26	49	of	of	ADP
ajst-2096	26	50	financial	financial	ADJ
ajst-2096	26	51	and	and	CCONJ
ajst-2096	26	52	cultural	cultural	ADJ
ajst-2096	26	53	industries	industry	NOUN
ajst-2096	26	54	according	accord	VERB
ajst-2096	26	55	to	to	ADP
ajst-2096	26	56	the	the	DET
ajst-2096	26	57	empirical	empirical	ADJ
ajst-2096	26	58	results	result	NOUN
ajst-2096	26	59	[	[	X
ajst-2096	26	60	5	5	NUM
ajst-2096	26	61	]	]	PUNCT
ajst-2096	26	62	.	.	PUNCT
ajst-2096	27	1	the	the	DET
ajst-2096	27	2	last	last	ADJ
ajst-2096	27	3	part	part	NOUN
ajst-2096	27	4	is	be	AUX
ajst-2096	27	5	the	the	DET
ajst-2096	27	6	research	research	NOUN
ajst-2096	27	7	on	on	ADP
ajst-2096	27	8	the	the	DET
ajst-2096	27	9	combination	combination	NOUN
ajst-2096	27	10	of	of	ADP
ajst-2096	27	11	arima	arima	PROPN
ajst-2096	27	12	model	model	NOUN
ajst-2096	27	13	and	and	CCONJ
ajst-2096	27	14	gdp	gdp	PROPN
ajst-2096	27	15	.	.	PUNCT
ajst-2096	28	1	qu	qu	PROPN
ajst-2096	28	2	et	et	PROPN
ajst-2096	28	3	al	al	PROPN
ajst-2096	28	4	.	.	PROPN
ajst-2096	29	1	(	(	PUNCT
ajst-2096	29	2	2021	2021	NUM
ajst-2096	29	3	)	)	PUNCT
ajst-2096	29	4	studied	study	VERB
ajst-2096	29	5	the	the	DET
ajst-2096	29	6	gdp	gdp	NOUN
ajst-2096	29	7	data	datum	NOUN
ajst-2096	29	8	of	of	ADP
ajst-2096	29	9	hubei	hubei	PROPN
ajst-2096	29	10	province	province	NOUN
ajst-2096	29	11	from	from	ADP
ajst-2096	29	12	1978	1978	NUM
ajst-2096	29	13	to	to	ADP
ajst-2096	29	14	2019	2019	NUM
ajst-2096	29	15	using	use	VERB
ajst-2096	29	16	arima	arima	PROPN
ajst-2096	29	17	model	model	NOUN
ajst-2096	29	18	,	,	PUNCT
ajst-2096	29	19	and	and	CCONJ
ajst-2096	29	20	predicted	predict	VERB
ajst-2096	29	21	the	the	DET
ajst-2096	29	22	gdp	gdp	NOUN
ajst-2096	29	23	data	datum	NOUN
ajst-2096	29	24	in	in	ADP
ajst-2096	29	25	2020	2020	NUM
ajst-2096	29	26	and	and	CCONJ
ajst-2096	29	27	2021	2021	NUM
ajst-2096	29	28	.	.	PUNCT
ajst-2096	30	1	the	the	DET
ajst-2096	30	2	research	research	NOUN
ajst-2096	30	3	results	result	NOUN
ajst-2096	30	4	show	show	VERB
ajst-2096	30	5	that	that	SCONJ
ajst-2096	30	6	arima	arima	PROPN
ajst-2096	30	7	model	model	NOUN
ajst-2096	30	8	can	can	AUX
ajst-2096	30	9	better	well	ADV
ajst-2096	30	10	reflect	reflect	VERB
ajst-2096	30	11	the	the	DET
ajst-2096	30	12	development	development	NOUN
ajst-2096	30	13	trend	trend	NOUN
ajst-2096	30	14	and	and	CCONJ
ajst-2096	30	15	short	short	ADJ
ajst-2096	30	16	-	-	PUNCT
ajst-2096	30	17	term	term	NOUN
ajst-2096	30	18	forecast	forecast	NOUN
ajst-2096	30	19	of	of	ADP
ajst-2096	30	20	gdp	gdp	NOUN
ajst-2096	31	1	[	[	X
ajst-2096	31	2	6	6	NUM
ajst-2096	31	3	]	]	PUNCT
ajst-2096	31	4	.	.	PUNCT
ajst-2096	32	1	wu	wu	PROPN
ajst-2096	32	2	(	(	PUNCT
ajst-2096	32	3	2019	2019	NUM
ajst-2096	32	4	)	)	PUNCT
ajst-2096	32	5	took	take	VERB
ajst-2096	32	6	the	the	DET
ajst-2096	32	7	gdp	gdp	NOUN
ajst-2096	32	8	data	datum	NOUN
ajst-2096	32	9	of	of	ADP
ajst-2096	32	10	hangzhou	hangzhou	PROPN
ajst-2096	32	11	from	from	ADP
ajst-2096	32	12	1978	1978	NUM
ajst-2096	32	13	to	to	ADP
ajst-2096	32	14	2017	2017	NUM
ajst-2096	32	15	as	as	ADP
ajst-2096	32	16	a	a	DET
ajst-2096	32	17	sample	sample	NOUN
ajst-2096	32	18	,	,	PUNCT
ajst-2096	32	19	made	make	VERB
ajst-2096	32	20	a	a	DET
ajst-2096	32	21	first	first	ADJ
ajst-2096	32	22	-	-	PUNCT
ajst-2096	32	23	order	order	NOUN
ajst-2096	32	24	difference	difference	NOUN
ajst-2096	32	25	on	on	ADP
ajst-2096	32	26	the	the	DET
ajst-2096	32	27	gdp	gdp	NOUN
ajst-2096	32	28	series	series	NOUN
ajst-2096	32	29	after	after	ADP
ajst-2096	32	30	selecting	select	VERB
ajst-2096	32	31	natural	natural	ADJ
ajst-2096	32	32	logarithms	logarithm	NOUN
ajst-2096	32	33	and	and	CCONJ
ajst-2096	32	34	fitted	fit	VERB
ajst-2096	32	35	the	the	DET
ajst-2096	32	36	ar	ar	NOUN
ajst-2096	32	37	model	model	NOUN
ajst-2096	32	38	.	.	PUNCT
ajst-2096	33	1	after	after	ADP
ajst-2096	33	2	testing	test	VERB
ajst-2096	33	3	the	the	DET
ajst-2096	33	4	fitted	fit	VERB
ajst-2096	33	5	model	model	NOUN
ajst-2096	33	6	,	,	PUNCT
ajst-2096	33	7	the	the	DET
ajst-2096	33	8	arima	arima	PROPN
ajst-2096	33	9	model	model	NOUN
ajst-2096	33	10	was	be	AUX
ajst-2096	33	11	used	use	VERB
ajst-2096	33	12	to	to	PART
ajst-2096	33	13	predict	predict	VERB
ajst-2096	33	14	the	the	DET
ajst-2096	33	15	lngdp	lngdp	NOUN
ajst-2096	33	16	of	of	ADP
ajst-2096	33	17	hangzhou	hangzhou	PROPN
ajst-2096	33	18	from	from	ADP
ajst-2096	33	19	2018	2018	NUM
ajst-2096	33	20	to	to	ADP
ajst-2096	33	21	2022	2022	NUM
ajst-2096	33	22	,	,	PUNCT
ajst-2096	33	23	and	and	CCONJ
ajst-2096	33	24	then	then	ADV
ajst-2096	33	25	the	the	DET
ajst-2096	33	26	software	software	NOUN
ajst-2096	33	27	was	be	AUX
ajst-2096	33	28	used	use	VERB
ajst-2096	33	29	to	to	PART
ajst-2096	33	30	restore	restore	VERB
ajst-2096	33	31	the	the	DET
ajst-2096	33	32	gdp	gdp	NOUN
ajst-2096	33	33	of	of	ADP
ajst-2096	33	34	hangzhou	hangzhou	PROPN
ajst-2096	33	35	in	in	ADP
ajst-2096	33	36	the	the	DET
ajst-2096	33	37	next	next	ADJ
ajst-2096	33	38	five	five	NUM
ajst-2096	33	39	years	year	NOUN
ajst-2096	33	40	.	.	PUNCT
ajst-2096	34	1	finally	finally	ADV
ajst-2096	34	2	,	,	PUNCT
ajst-2096	34	3	the	the	DET
ajst-2096	34	4	conclusion	conclusion	NOUN
ajst-2096	34	5	was	be	AUX
ajst-2096	34	6	drawn	draw	VERB
ajst-2096	34	7	that	that	SCONJ
ajst-2096	34	8	the	the	DET
ajst-2096	34	9	gdp	gdp	NOUN
ajst-2096	34	10	of	of	ADP
ajst-2096	34	11	hangzhou	hangzhou	PROPN
ajst-2096	34	12	would	would	AUX
ajst-2096	34	13	increase	increase	VERB
ajst-2096	34	14	year	year	NOUN
ajst-2096	34	15	by	by	ADP
ajst-2096	34	16	year	year	NOUN
ajst-2096	34	17	from	from	ADP
ajst-2096	34	18	2018	2018	NUM
ajst-2096	34	19	to	to	ADP
ajst-2096	34	20	2020	2020	NUM
ajst-2096	34	21	,	,	PUNCT
ajst-2096	34	22	with	with	ADP
ajst-2096	34	23	a	a	DET
ajst-2096	34	24	relatively	relatively	ADV
ajst-2096	34	25	stable	stable	ADJ
ajst-2096	34	26	upward	upward	ADJ
ajst-2096	34	27	trend	trend	NOUN
ajst-2096	34	28	[	[	X
ajst-2096	34	29	7	7	NUM
ajst-2096	34	30	]	]	PUNCT
ajst-2096	34	31	.	.	PUNCT
ajst-2096	35	1	based	base	VERB
ajst-2096	35	2	on	on	ADP
ajst-2096	35	3	the	the	DET
ajst-2096	35	4	current	current	ADJ
ajst-2096	35	5	domestic	domestic	ADJ
ajst-2096	35	6	scholars	scholar	NOUN
ajst-2096	35	7	'	'	PART
ajst-2096	35	8	short	short	ADJ
ajst-2096	35	9	-	-	PUNCT
ajst-2096	35	10	term	term	NOUN
ajst-2096	35	11	gdp	gdp	NOUN
ajst-2096	35	12	forecast	forecast	NOUN
ajst-2096	35	13	,	,	PUNCT
ajst-2096	35	14	most	most	ADJ
ajst-2096	35	15	scholars	scholar	NOUN
ajst-2096	35	16	use	use	VERB
ajst-2096	35	17	the	the	DET
ajst-2096	35	18	time	time	NOUN
ajst-2096	35	19	series	series	PROPN
ajst-2096	35	20	model	model	PROPN
ajst-2096	35	21	to	to	PART
ajst-2096	35	22	forecast	forecast	VERB
ajst-2096	35	23	it	it	PRON
ajst-2096	35	24	,	,	PUNCT
ajst-2096	35	25	but	but	CCONJ
ajst-2096	35	26	there	there	PRON
ajst-2096	35	27	are	be	VERB
ajst-2096	35	28	often	often	ADV
ajst-2096	35	29	deviations	deviation	NOUN
ajst-2096	35	30	between	between	ADP
ajst-2096	35	31	the	the	DET
ajst-2096	35	32	predicted	predict	VERB
ajst-2096	35	33	value	value	NOUN
ajst-2096	35	34	and	and	CCONJ
ajst-2096	35	35	the	the	DET
ajst-2096	35	36	actual	actual	ADJ
ajst-2096	35	37	value	value	NOUN
ajst-2096	35	38	.	.	PUNCT
ajst-2096	36	1	therefore	therefore	ADV
ajst-2096	36	2	,	,	PUNCT
ajst-2096	36	3	this	this	DET
ajst-2096	36	4	paper	paper	NOUN
ajst-2096	36	5	selects	select	VERB
ajst-2096	36	6	the	the	DET
ajst-2096	36	7	data	datum	NOUN
ajst-2096	36	8	from	from	ADP
ajst-2096	36	9	1978	1978	NUM
ajst-2096	36	10	to	to	ADP
ajst-2096	36	11	2019	2019	NUM
ajst-2096	36	12	and	and	CCONJ
ajst-2096	36	13	uses	use	VERB
ajst-2096	36	14	arima	arima	PROPN
ajst-2096	36	15	model	model	NOUN
ajst-2096	36	16	to	to	PART
ajst-2096	36	17	forecast	forecast	VERB
ajst-2096	36	18	gdp	gdp	NOUN
ajst-2096	36	19	in	in	ADP
ajst-2096	36	20	2020	2020	NUM
ajst-2096	36	21	and	and	CCONJ
ajst-2096	36	22	2021	2021	NUM
ajst-2096	36	23	.	.	PUNCT
ajst-2096	37	1	after	after	ADP
ajst-2096	37	2	comparing	compare	VERB
ajst-2096	37	3	the	the	DET
ajst-2096	37	4	predicted	predict	VERB
ajst-2096	37	5	value	value	NOUN
ajst-2096	37	6	with	with	ADP
ajst-2096	37	7	the	the	DET
ajst-2096	37	8	real	real	ADJ
ajst-2096	37	9	value	value	NOUN
ajst-2096	37	10	,	,	PUNCT
ajst-2096	37	11	the	the	DET
ajst-2096	37	12	result	result	NOUN
ajst-2096	37	13	shows	show	VERB
ajst-2096	37	14	that	that	SCONJ
ajst-2096	37	15	the	the	DET
ajst-2096	37	16	deviation	deviation	NOUN
ajst-2096	37	17	between	between	ADP
ajst-2096	37	18	the	the	DET
ajst-2096	37	19	predicted	predict	VERB
ajst-2096	37	20	value	value	NOUN
ajst-2096	37	21	and	and	CCONJ
ajst-2096	37	22	the	the	DET
ajst-2096	37	23	real	real	ADJ
ajst-2096	37	24	value	value	NOUN
ajst-2096	37	25	is	be	AUX
ajst-2096	37	26	small	small	ADJ
ajst-2096	37	27	.	.	PUNCT
ajst-2096	38	1	2	2	X
ajst-2096	38	2	.	.	X
ajst-2096	38	3	introduction	introduction	NOUN
ajst-2096	38	4	to	to	ADP
ajst-2096	38	5	arima	arima	PROPN
ajst-2096	38	6	model	model	NOUN
ajst-2096	38	7	the	the	DET
ajst-2096	38	8	time	time	NOUN
ajst-2096	38	9	series	series	PROPN
ajst-2096	38	10	analysis	analysis	NOUN
ajst-2096	38	11	method	method	NOUN
ajst-2096	38	12	is	be	AUX
ajst-2096	38	13	used	use	VERB
ajst-2096	38	14	to	to	PART
ajst-2096	38	15	solve	solve	VERB
ajst-2096	38	16	the	the	DET
ajst-2096	38	17	79	79	NUM
ajst-2096	38	18	stochastic	stochastic	NOUN
ajst-2096	38	19	,	,	PUNCT
ajst-2096	38	20	seasonal	seasonal	ADJ
ajst-2096	38	21	and	and	CCONJ
ajst-2096	38	22	stable	stable	ADJ
ajst-2096	38	23	time	time	NOUN
ajst-2096	38	24	series	series	PROPN
ajst-2096	38	25	models	model	NOUN
ajst-2096	38	26	,	,	PUNCT
ajst-2096	38	27	which	which	PRON
ajst-2096	38	28	was	be	AUX
ajst-2096	38	29	proposed	propose	VERB
ajst-2096	38	30	by	by	ADP
ajst-2096	38	31	boxing	box	VERB
ajst-2096	38	32	jenkins	jenkin	NOUN
ajst-2096	38	33	.	.	PUNCT
ajst-2096	39	1	its	its	PRON
ajst-2096	39	2	basic	basic	ADJ
ajst-2096	39	3	models	model	NOUN
ajst-2096	39	4	mainly	mainly	ADV
ajst-2096	39	5	include	include	VERB
ajst-2096	39	6	the	the	DET
ajst-2096	39	7	following	follow	VERB
ajst-2096	39	8	four	four	NUM
ajst-2096	39	9	types	type	NOUN
ajst-2096	39	10	:	:	PUNCT
ajst-2096	39	11	autoregressive	autoregressive	ADJ
ajst-2096	39	12	quadrature	quadrature	NOUN
ajst-2096	39	13	moving	move	VERB
ajst-2096	39	14	average	average	ADJ
ajst-2096	39	15	model	model	NOUN
ajst-2096	39	16	(	(	PUNCT
ajst-2096	39	17	arima	arima	PROPN
ajst-2096	39	18	for	for	ADP
ajst-2096	39	19	short	short	ADJ
ajst-2096	39	20	)	)	PUNCT
ajst-2096	39	21	,	,	PUNCT
ajst-2096	39	22	autoregressive	autoregressive	ADJ
ajst-2096	39	23	model	model	NOUN
ajst-2096	39	24	(	(	PUNCT
ajst-2096	39	25	ar	ar	NOUN
ajst-2096	39	26	for	for	ADP
ajst-2096	39	27	short	short	ADJ
ajst-2096	39	28	)	)	PUNCT
ajst-2096	39	29	,	,	PUNCT
ajst-2096	39	30	regression	regression	NOUN
ajst-2096	39	31	moving	move	VERB
ajst-2096	39	32	average	average	ADJ
ajst-2096	39	33	model	model	NOUN
ajst-2096	39	34	arma	arma	PROPN
ajst-2096	39	35	(	(	PUNCT
ajst-2096	39	36	p	p	X
ajst-2096	39	37	,	,	PUNCT
ajst-2096	39	38	q	q	NOUN
ajst-2096	39	39	)	)	PUNCT
ajst-2096	39	40	and	and	CCONJ
ajst-2096	39	41	moving	move	VERB
ajst-2096	39	42	average	average	ADJ
ajst-2096	39	43	(	(	PUNCT
ajst-2096	39	44	ma	ma	PROPN
ajst-2096	39	45	)	)	PUNCT
ajst-2096	39	46	model	model	NOUN
ajst-2096	39	47	[	[	X
ajst-2096	39	48	8	8	NUM
ajst-2096	39	49	]	]	PUNCT
ajst-2096	39	50	.	.	PUNCT
ajst-2096	40	1	2.1	2.1	NUM
ajst-2096	40	2	.	.	PUNCT
ajst-2096	40	3	arma	arma	PROPN
ajst-2096	40	4	(	(	PUNCT
ajst-2096	40	5	p	p	X
ajst-2096	40	6	,	,	PUNCT
ajst-2096	40	7	q	q	NOUN
ajst-2096	40	8	)	)	PUNCT
ajst-2096	40	9	model	model	NOUN
ajst-2096	40	10	arma	arma	PROPN
ajst-2096	40	11	(	(	PUNCT
ajst-2096	40	12	p	p	X
ajst-2096	40	13	,	,	PUNCT
ajst-2096	40	14	q	q	NOUN
ajst-2096	40	15	)	)	PUNCT
ajst-2096	40	16	model	model	NOUN
ajst-2096	40	17	is	be	AUX
ajst-2096	40	18	a	a	DET
ajst-2096	40	19	mixed	mixed	ADJ
ajst-2096	40	20	form	form	NOUN
ajst-2096	40	21	of	of	ADP
ajst-2096	40	22	autoregressive	autoregressive	ADJ
ajst-2096	40	23	model	model	NOUN
ajst-2096	40	24	(	(	PUNCT
ajst-2096	40	25	ar	ar	NOUN
ajst-2096	40	26	)	)	PUNCT
ajst-2096	40	27	and	and	CCONJ
ajst-2096	40	28	moving	move	VERB
ajst-2096	40	29	average	average	ADJ
ajst-2096	40	30	model	model	NOUN
ajst-2096	40	31	(	(	PUNCT
ajst-2096	40	32	ma	ma	PROPN
ajst-2096	40	33	)	)	PUNCT
ajst-2096	40	34	,	,	PUNCT
ajst-2096	40	35	so	so	CCONJ
ajst-2096	40	36	it	it	PRON
ajst-2096	40	37	is	be	AUX
ajst-2096	40	38	also	also	ADV
ajst-2096	40	39	called	call	VERB
ajst-2096	40	40	autoregressive	autoregressive	ADJ
ajst-2096	40	41	moving	move	VERB
ajst-2096	40	42	average	average	ADJ
ajst-2096	40	43	mixed	mixed	ADJ
ajst-2096	40	44	model	model	NOUN
ajst-2096	40	45	.	.	PUNCT
ajst-2096	41	1	the	the	DET
ajst-2096	41	2	equation	equation	NOUN
ajst-2096	41	3	form	form	NOUN
ajst-2096	41	4	is	be	AUX
ajst-2096	41	5	:	:	PUNCT
ajst-2096	41	6	𝑋	𝑋	PROPN
ajst-2096	41	7	𝐶	𝐶	PROPN
ajst-2096	41	8	𝜃	𝜃	PRON
ajst-2096	41	9	𝑋	𝑋	NOUN
ajst-2096	41	10	𝜃	𝜃	NOUN
ajst-2096	41	11	𝑋	𝑋	NOUN
ajst-2096	41	12	.	.	PUNCT
ajst-2096	41	13	.	.	PUNCT
ajst-2096	41	14	.	.	PUNCT
ajst-2096	42	1	𝜃	𝜃	X
ajst-2096	42	2	𝑋	𝑋	NOUN
ajst-2096	42	3	𝜀	𝜀	PROPN
ajst-2096	42	4	𝛽	𝛽	PROPN
ajst-2096	42	5	𝜀	𝜀	X
ajst-2096	42	6	𝛽	𝛽	PROPN
ajst-2096	42	7	𝜀	𝜀	X
ajst-2096	42	8	𝛽	𝛽	PROPN
ajst-2096	42	9	𝜀	𝜀	X
ajst-2096	42	10	(	(	PUNCT
ajst-2096	42	11	1	1	NUM
ajst-2096	42	12	)	)	PUNCT
ajst-2096	42	13	where	where	SCONJ
ajst-2096	42	14	,	,	PUNCT
ajst-2096	42	15	c	c	PROPN
ajst-2096	42	16	represents	represent	VERB
ajst-2096	42	17	the	the	DET
ajst-2096	42	18	constant	constant	ADJ
ajst-2096	42	19	,	,	PUNCT
ajst-2096	42	20	and	and	CCONJ
ajst-2096	42	21	1	1	NUM
ajst-2096	42	22	,	,	PUNCT
ajst-2096	42	23	2	2	NUM
ajst-2096	42	24	,	,	PUNCT
ajst-2096	42	25	...	...	PUNCT
ajst-2096	42	26	,	,	PUNCT
ajst-2096	42	27	p	p	NOUN
ajst-2096	42	28	represents	represent	VERB
ajst-2096	42	29	the	the	DET
ajst-2096	42	30	coefficient	coefficient	NOUN
ajst-2096	42	31	value	value	NOUN
ajst-2096	42	32	of	of	ADP
ajst-2096	42	33	the	the	DET
ajst-2096	42	34	autoregressive	autoregressive	ADJ
ajst-2096	42	35	model	model	NOUN
ajst-2096	42	36	.	.	PUNCT
ajst-2096	43	1	p	p	NOUN
ajst-2096	43	2	represents	represent	VERB
ajst-2096	43	3	the	the	DET
ajst-2096	43	4	order	order	NOUN
ajst-2096	43	5	value	value	NOUN
ajst-2096	43	6	of	of	ADP
ajst-2096	43	7	the	the	DET
ajst-2096	43	8	autoregressive	autoregressive	ADJ
ajst-2096	43	9	model	model	NOUN
ajst-2096	43	10	.	.	PUNCT
ajst-2096	44	1	𝛽	𝛽	NOUN
ajst-2096	44	2	,	,	PUNCT
ajst-2096	44	3	𝛽	𝛽	PROPN
ajst-2096	44	4	,	,	PUNCT
ajst-2096	44	5	...	...	PUNCT
ajst-2096	44	6	,	,	PUNCT
ajst-2096	44	7	𝛽	𝛽	NOUN
ajst-2096	44	8	refers	refer	VERB
ajst-2096	44	9	to	to	ADP
ajst-2096	44	10	the	the	DET
ajst-2096	44	11	corresponding	corresponding	ADJ
ajst-2096	44	12	coefficient	coefficient	NOUN
ajst-2096	44	13	value	value	NOUN
ajst-2096	44	14	of	of	ADP
ajst-2096	44	15	q	q	NOUN
ajst-2096	44	16	order	order	NOUN
ajst-2096	44	17	moving	move	VERB
ajst-2096	44	18	average	average	ADJ
ajst-2096	44	19	model	model	NOUN
ajst-2096	44	20	.	.	PUNCT
ajst-2096	45	1	𝜀	𝜀	PROPN
ajst-2096	45	2	refers	refer	VERB
ajst-2096	45	3	to	to	ADP
ajst-2096	45	4	a	a	DET
ajst-2096	45	5	white	white	ADJ
ajst-2096	45	6	noise	noise	NOUN
ajst-2096	45	7	sequence	sequence	NOUN
ajst-2096	45	8	whose	whose	DET
ajst-2096	45	9	mean	mean	NOUN
ajst-2096	45	10	and	and	CCONJ
ajst-2096	45	11	variance	variance	NOUN
ajst-2096	45	12	are	be	AUX
ajst-2096	45	13	0	0	NUM
ajst-2096	45	14	and	and	CCONJ
ajst-2096	45	15	σ	σ	NOUN
ajst-2096	45	16	.	.	PUNCT
ajst-2096	46	1	2.2	2.2	NUM
ajst-2096	46	2	.	.	PUNCT
ajst-2096	47	1	arima	arima	PROPN
ajst-2096	47	2	(	(	PUNCT
ajst-2096	47	3	p	p	X
ajst-2096	47	4	,	,	PUNCT
ajst-2096	47	5	d	d	NOUN
ajst-2096	47	6	,	,	PUNCT
ajst-2096	47	7	q	q	NOUN
ajst-2096	47	8	)	)	PUNCT
ajst-2096	47	9	model	model	NOUN
ajst-2096	47	10	arma	arma	PROPN
ajst-2096	47	11	model	model	NOUN
ajst-2096	47	12	can	can	AUX
ajst-2096	47	13	only	only	ADV
ajst-2096	47	14	be	be	AUX
ajst-2096	47	15	used	use	VERB
ajst-2096	47	16	in	in	ADP
ajst-2096	47	17	stationary	stationary	ADJ
ajst-2096	47	18	time	time	NOUN
ajst-2096	47	19	series	series	NOUN
ajst-2096	47	20	,	,	PUNCT
ajst-2096	47	21	but	but	CCONJ
ajst-2096	47	22	it	it	PRON
ajst-2096	47	23	is	be	AUX
ajst-2096	47	24	no	no	ADV
ajst-2096	47	25	longer	long	ADV
ajst-2096	47	26	applicable	applicable	ADJ
ajst-2096	47	27	to	to	ADP
ajst-2096	47	28	non	non	ADJ
ajst-2096	47	29	-	-	ADJ
ajst-2096	47	30	stationary	stationary	ADJ
ajst-2096	47	31	time	time	NOUN
ajst-2096	47	32	series	series	NOUN
ajst-2096	47	33	.	.	PUNCT
ajst-2096	48	1	however	however	ADV
ajst-2096	48	2	,	,	PUNCT
ajst-2096	48	3	most	most	ADJ
ajst-2096	48	4	economic	economic	ADJ
ajst-2096	48	5	time	time	NOUN
ajst-2096	48	6	series	series	NOUN
ajst-2096	48	7	belong	belong	VERB
ajst-2096	48	8	to	to	ADP
ajst-2096	48	9	non	non	ADJ
ajst-2096	48	10	-	-	ADJ
ajst-2096	48	11	stationary	stationary	ADJ
ajst-2096	48	12	time	time	NOUN
ajst-2096	48	13	series	series	NOUN
ajst-2096	48	14	,	,	PUNCT
ajst-2096	48	15	and	and	CCONJ
ajst-2096	48	16	arima	arima	PROPN
ajst-2096	48	17	model	model	NOUN
ajst-2096	48	18	is	be	AUX
ajst-2096	48	19	mainly	mainly	ADV
ajst-2096	48	20	used	use	VERB
ajst-2096	48	21	to	to	PART
ajst-2096	48	22	solve	solve	VERB
ajst-2096	48	23	nonstationary	nonstationary	ADJ
ajst-2096	48	24	time	time	NOUN
ajst-2096	48	25	series	series	PROPN
ajst-2096	48	26	problems	problem	NOUN
ajst-2096	48	27	.	.	PUNCT
ajst-2096	49	1	there	there	PRON
ajst-2096	49	2	are	be	VERB
ajst-2096	49	3	two	two	NUM
ajst-2096	49	4	common	common	ADJ
ajst-2096	49	5	methods	method	NOUN
ajst-2096	49	6	to	to	PART
ajst-2096	49	7	transform	transform	VERB
ajst-2096	49	8	non	non	ADJ
ajst-2096	49	9	-	-	ADJ
ajst-2096	49	10	stationary	stationary	ADJ
ajst-2096	49	11	series	series	NOUN
ajst-2096	49	12	into	into	ADP
ajst-2096	49	13	stationary	stationary	ADJ
ajst-2096	49	14	time	time	NOUN
ajst-2096	49	15	series	series	NOUN
ajst-2096	49	16	:	:	PUNCT
ajst-2096	49	17	one	one	NUM
ajst-2096	49	18	is	be	AUX
ajst-2096	49	19	to	to	PART
ajst-2096	49	20	take	take	VERB
ajst-2096	49	21	logarithms	logarithm	NOUN
ajst-2096	49	22	of	of	ADP
ajst-2096	49	23	variables	variable	NOUN
ajst-2096	49	24	.	.	PUNCT
ajst-2096	50	1	the	the	DET
ajst-2096	50	2	second	second	NOUN
ajst-2096	50	3	is	be	AUX
ajst-2096	50	4	to	to	PART
ajst-2096	50	5	do	do	VERB
ajst-2096	50	6	differential	differential	NOUN
ajst-2096	50	7	processing	processing	NOUN
ajst-2096	50	8	on	on	ADP
ajst-2096	50	9	the	the	DET
ajst-2096	50	10	sequence	sequence	NOUN
ajst-2096	50	11	.	.	PUNCT
ajst-2096	51	1	only	only	ADV
ajst-2096	51	2	after	after	SCONJ
ajst-2096	51	3	the	the	DET
ajst-2096	51	4	non	non	ADJ
ajst-2096	51	5	-	-	ADJ
ajst-2096	51	6	stationary	stationary	ADJ
ajst-2096	51	7	series	series	NOUN
ajst-2096	51	8	are	be	AUX
ajst-2096	51	9	converted	convert	VERB
ajst-2096	51	10	into	into	ADP
ajst-2096	51	11	a	a	DET
ajst-2096	51	12	stationary	stationary	ADJ
ajst-2096	51	13	time	time	NOUN
ajst-2096	51	14	series	series	PROPN
ajst-2096	51	15	can	can	AUX
ajst-2096	51	16	arma	arma	PROPN
ajst-2096	51	17	model	model	NOUN
ajst-2096	51	18	be	be	AUX
ajst-2096	51	19	used	use	VERB
ajst-2096	51	20	for	for	ADP
ajst-2096	51	21	subsequent	subsequent	ADJ
ajst-2096	51	22	analysis	analysis	NOUN
ajst-2096	51	23	and	and	CCONJ
ajst-2096	51	24	prediction	prediction	NOUN
ajst-2096	51	25	.	.	PUNCT
ajst-2096	52	1	let	let	VERB
ajst-2096	52	2	𝑋	𝑋	NOUN
ajst-2096	52	3	be	be	AUX
ajst-2096	52	4	a	a	DET
ajst-2096	52	5	stationary	stationary	ADJ
ajst-2096	52	6	sequence	sequence	NOUN
ajst-2096	52	7	of	of	ADP
ajst-2096	52	8	order	order	NOUN
ajst-2096	52	9	𝑑	𝑑	NOUN
ajst-2096	52	10	,	,	PUNCT
ajst-2096	52	11	𝑋	𝑋	PROPN
ajst-2096	52	12	~𝐼	~𝐼	PUNCT
ajst-2096	52	13	𝑑	𝑑	PROPN
ajst-2096	52	14	,	,	PUNCT
ajst-2096	52	15	then	then	ADV
ajst-2096	52	16	𝑊	𝑊	PROPN
ajst-2096	52	17	∆	∆	PROPN
ajst-2096	52	18	𝑋	𝑋	NOUN
ajst-2096	52	19	.	.	PUNCT
ajst-2096	53	1	𝑊	𝑊	NOUN
ajst-2096	53	2	is	be	AUX
ajst-2096	53	3	a	a	DET
ajst-2096	53	4	stationary	stationary	ADJ
ajst-2096	53	5	sequence	sequence	NOUN
ajst-2096	53	6	,	,	PUNCT
ajst-2096	53	7	and	and	CCONJ
ajst-2096	53	8	then	then	ADV
ajst-2096	53	9	arma	arma	PROPN
ajst-2096	53	10	(	(	PUNCT
ajst-2096	53	11	p	p	X
ajst-2096	53	12	,	,	PUNCT
ajst-2096	53	13	q	q	NOUN
ajst-2096	53	14	)	)	PUNCT
ajst-2096	53	15	model	model	NOUN
ajst-2096	53	16	can	can	AUX
ajst-2096	53	17	be	be	AUX
ajst-2096	53	18	constructed	construct	VERB
ajst-2096	53	19	.	.	PUNCT
ajst-2096	54	1	the	the	DET
ajst-2096	54	2	equation	equation	NOUN
ajst-2096	54	3	form	form	NOUN
ajst-2096	54	4	is	be	AUX
ajst-2096	54	5	as	as	SCONJ
ajst-2096	54	6	follows	follow	VERB
ajst-2096	54	7	:	:	PUNCT
ajst-2096	54	8	𝑋	𝑋	PROPN
ajst-2096	54	9	𝐶	𝐶	PROPN
ajst-2096	54	10	𝜃	𝜃	X
ajst-2096	54	11	𝑊	𝑊	VERB
ajst-2096	54	12	𝜃	𝜃	X
ajst-2096	54	13	𝑊	𝑊	NOUN
ajst-2096	54	14	.	.	PUNCT
ajst-2096	54	15	.	.	PUNCT
ajst-2096	54	16	.	.	PUNCT
ajst-2096	55	1	𝜃	𝜃	X
ajst-2096	55	2	𝑊	𝑊	NOUN
ajst-2096	55	3	𝜀	𝜀	NOUN
ajst-2096	55	4	𝛽	𝛽	NOUN
ajst-2096	55	5	𝜀	𝜀	X
ajst-2096	55	6	𝛽	𝛽	PROPN
ajst-2096	55	7	𝜀	𝜀	X
ajst-2096	55	8	𝛽	𝛽	PROPN
ajst-2096	55	9	𝜀	𝜀	X
ajst-2096	55	10	(	(	PUNCT
ajst-2096	55	11	2	2	NUM
ajst-2096	55	12	)	)	PUNCT
ajst-2096	55	13	when	when	SCONJ
ajst-2096	55	14	𝑑	𝑑	PROPN
ajst-2096	55	15	0	0	NUM
ajst-2096	55	16	in	in	ADP
ajst-2096	55	17	arma	arma	PROPN
ajst-2096	55	18	(	(	PUNCT
ajst-2096	55	19	p	p	X
ajst-2096	55	20	,	,	PUNCT
ajst-2096	55	21	d	d	NOUN
ajst-2096	55	22	,	,	PUNCT
ajst-2096	55	23	q	q	NOUN
ajst-2096	55	24	)	)	PUNCT
ajst-2096	55	25	model	model	NOUN
ajst-2096	55	26	,	,	PUNCT
ajst-2096	55	27	it	it	PRON
ajst-2096	55	28	is	be	AUX
ajst-2096	55	29	equal	equal	ADJ
ajst-2096	55	30	to	to	ADP
ajst-2096	55	31	arma	arma	PROPN
ajst-2096	55	32	model	model	NOUN
ajst-2096	55	33	(	(	PUNCT
ajst-2096	55	34	p	p	X
ajst-2096	55	35	,	,	PUNCT
ajst-2096	55	36	q	q	NOUN
ajst-2096	55	37	)	)	PUNCT
ajst-2096	55	38	.	.	PUNCT
ajst-2096	56	1	arma	arma	PROPN
ajst-2096	56	2	model	model	NOUN
ajst-2096	56	3	(	(	PUNCT
ajst-2096	56	4	p	p	X
ajst-2096	56	5	,	,	PUNCT
ajst-2096	56	6	q	q	NOUN
ajst-2096	56	7	)	)	PUNCT
ajst-2096	56	8	is	be	AUX
ajst-2096	56	9	generally	generally	ADV
ajst-2096	56	10	used	use	VERB
ajst-2096	56	11	for	for	ADP
ajst-2096	56	12	modeling	modeling	NOUN
ajst-2096	56	13	and	and	CCONJ
ajst-2096	56	14	analysis	analysis	NOUN
ajst-2096	56	15	of	of	ADP
ajst-2096	56	16	raw	raw	ADJ
ajst-2096	56	17	data	datum	NOUN
ajst-2096	56	18	without	without	ADP
ajst-2096	56	19	difference	difference	NOUN
ajst-2096	56	20	,	,	PUNCT
ajst-2096	56	21	that	that	ADV
ajst-2096	56	22	is	is	ADV
ajst-2096	56	23	,	,	PUNCT
ajst-2096	56	24	stationary	stationary	ADJ
ajst-2096	56	25	time	time	NOUN
ajst-2096	56	26	series	series	PROPN
ajst-2096	56	27	analysis	analysis	NOUN
ajst-2096	56	28	.	.	PUNCT
ajst-2096	57	1	however	however	ADV
ajst-2096	57	2	,	,	PUNCT
ajst-2096	57	3	for	for	ADP
ajst-2096	57	4	the	the	DET
ajst-2096	57	5	differential	differential	ADJ
ajst-2096	57	6	data	datum	NOUN
ajst-2096	57	7	,	,	PUNCT
ajst-2096	57	8	in	in	ADP
ajst-2096	57	9	most	most	ADJ
ajst-2096	57	10	cases	case	NOUN
ajst-2096	57	11	,	,	PUNCT
ajst-2096	57	12	the	the	DET
ajst-2096	57	13	arma	arma	NOUN
ajst-2096	57	14	(	(	PUNCT
ajst-2096	57	15	p	p	X
ajst-2096	57	16	,	,	PUNCT
ajst-2096	57	17	d	d	NOUN
ajst-2096	57	18	,	,	PUNCT
ajst-2096	57	19	q	q	NOUN
ajst-2096	57	20	)	)	PUNCT
ajst-2096	57	21	model	model	NOUN
ajst-2096	57	22	is	be	AUX
ajst-2096	57	23	used	use	VERB
ajst-2096	57	24	to	to	PART
ajst-2096	57	25	analyze	analyze	VERB
ajst-2096	57	26	the	the	DET
ajst-2096	57	27	unstable	unstable	ADJ
ajst-2096	57	28	time	time	NOUN
ajst-2096	57	29	series	series	NOUN
ajst-2096	57	30	.	.	PUNCT
ajst-2096	58	1	it	it	PRON
ajst-2096	58	2	is	be	AUX
ajst-2096	58	3	found	find	VERB
ajst-2096	58	4	that	that	SCONJ
ajst-2096	58	5	the	the	DET
ajst-2096	58	6	gdp	gdp	NOUN
ajst-2096	58	7	data	datum	NOUN
ajst-2096	58	8	selected	select	VERB
ajst-2096	58	9	in	in	ADP
ajst-2096	58	10	this	this	DET
ajst-2096	58	11	paper	paper	NOUN
ajst-2096	58	12	from	from	ADP
ajst-2096	58	13	1978	1978	NUM
ajst-2096	58	14	to	to	ADP
ajst-2096	58	15	2019	2019	NUM
ajst-2096	58	16	belongs	belong	VERB
ajst-2096	58	17	to	to	ADP
ajst-2096	58	18	a	a	DET
ajst-2096	58	19	nonstationary	nonstationary	ADJ
ajst-2096	58	20	time	time	NOUN
ajst-2096	58	21	series	series	NOUN
ajst-2096	58	22	when	when	SCONJ
ajst-2096	58	23	the	the	DET
ajst-2096	58	24	unit	unit	NOUN
ajst-2096	58	25	root	root	NOUN
ajst-2096	58	26	test	test	NOUN
ajst-2096	58	27	is	be	AUX
ajst-2096	58	28	conducted	conduct	VERB
ajst-2096	58	29	using	use	VERB
ajst-2096	58	30	the	the	DET
ajst-2096	58	31	adf	adf	PROPN
ajst-2096	58	32	method	method	NOUN
ajst-2096	58	33	below	below	ADV
ajst-2096	58	34	.	.	PUNCT
ajst-2096	59	1	therefore	therefore	ADV
ajst-2096	59	2	,	,	PUNCT
ajst-2096	59	3	this	this	DET
ajst-2096	59	4	paper	paper	NOUN
ajst-2096	59	5	uses	use	VERB
ajst-2096	59	6	arima	arima	NOUN
ajst-2096	59	7	model	model	NOUN
ajst-2096	59	8	for	for	ADP
ajst-2096	59	9	subsequent	subsequent	ADJ
ajst-2096	59	10	research	research	NOUN
ajst-2096	59	11	.	.	PUNCT
ajst-2096	60	1	3	3	X
ajst-2096	60	2	.	.	X
ajst-2096	60	3	establishment	establishment	NOUN
ajst-2096	60	4	of	of	ADP
ajst-2096	60	5	arima	arima	PROPN
ajst-2096	60	6	(	(	PUNCT
ajst-2096	60	7	p	p	X
ajst-2096	60	8	,	,	PUNCT
ajst-2096	60	9	d	d	NOUN
ajst-2096	60	10	,	,	PUNCT
ajst-2096	60	11	q	q	NOUN
ajst-2096	60	12	)	)	PUNCT
ajst-2096	60	13	model	model	NOUN
ajst-2096	60	14	in	in	ADP
ajst-2096	60	15	order	order	NOUN
ajst-2096	60	16	to	to	PART
ajst-2096	60	17	establish	establish	VERB
ajst-2096	60	18	this	this	DET
ajst-2096	60	19	model	model	NOUN
ajst-2096	60	20	,	,	PUNCT
ajst-2096	60	21	the	the	DET
ajst-2096	60	22	values	value	NOUN
ajst-2096	60	23	of	of	ADP
ajst-2096	60	24	p	p	X
ajst-2096	60	25	,	,	PUNCT
ajst-2096	60	26	d	d	PROPN
ajst-2096	60	27	,	,	PUNCT
ajst-2096	60	28	q	q	PROPN
ajst-2096	60	29	must	must	AUX
ajst-2096	60	30	be	be	AUX
ajst-2096	60	31	determined	determine	VERB
ajst-2096	60	32	.	.	PUNCT
ajst-2096	61	1	first	first	ADV
ajst-2096	61	2	,	,	PUNCT
ajst-2096	61	3	we	we	PRON
ajst-2096	61	4	need	need	VERB
ajst-2096	61	5	to	to	PART
ajst-2096	61	6	judge	judge	VERB
ajst-2096	61	7	whether	whether	SCONJ
ajst-2096	61	8	the	the	DET
ajst-2096	61	9	selected	select	VERB
ajst-2096	61	10	time	time	NOUN
ajst-2096	61	11	series	series	NOUN
ajst-2096	61	12	is	be	AUX
ajst-2096	61	13	a	a	DET
ajst-2096	61	14	stable	stable	ADJ
ajst-2096	61	15	time	time	NOUN
ajst-2096	61	16	series	series	NOUN
ajst-2096	61	17	,	,	PUNCT
ajst-2096	61	18	mainly	mainly	ADV
ajst-2096	61	19	through	through	ADP
ajst-2096	61	20	two	two	NUM
ajst-2096	61	21	methods	method	NOUN
ajst-2096	61	22	:	:	PUNCT
ajst-2096	61	23	time	time	NOUN
ajst-2096	61	24	sequence	sequence	NOUN
ajst-2096	61	25	diagram	diagram	NOUN
ajst-2096	61	26	and	and	CCONJ
ajst-2096	61	27	unit	unit	NOUN
ajst-2096	61	28	root	root	NOUN
ajst-2096	61	29	test	test	NOUN
ajst-2096	61	30	.	.	PUNCT
ajst-2096	62	1	if	if	SCONJ
ajst-2096	62	2	the	the	DET
ajst-2096	62	3	variable	variable	ADJ
ajst-2096	62	4	increases	increase	VERB
ajst-2096	62	5	with	with	ADP
ajst-2096	62	6	time	time	NOUN
ajst-2096	62	7	,	,	PUNCT
ajst-2096	62	8	the	the	DET
ajst-2096	62	9	series	series	NOUN
ajst-2096	62	10	must	must	AUX
ajst-2096	62	11	be	be	AUX
ajst-2096	62	12	non	non	ADJ
ajst-2096	62	13	-	-	ADJ
ajst-2096	62	14	stationary	stationary	ADJ
ajst-2096	62	15	.	.	PUNCT
ajst-2096	63	1	only	only	ADV
ajst-2096	63	2	when	when	SCONJ
ajst-2096	63	3	the	the	DET
ajst-2096	63	4	variable	variable	NOUN
ajst-2096	63	5	floats	float	VERB
ajst-2096	63	6	up	up	ADP
ajst-2096	63	7	and	and	CCONJ
ajst-2096	63	8	down	down	ADV
ajst-2096	63	9	around	around	ADP
ajst-2096	63	10	a	a	DET
ajst-2096	63	11	certain	certain	ADJ
ajst-2096	63	12	value	value	NOUN
ajst-2096	63	13	,	,	PUNCT
ajst-2096	63	14	the	the	DET
ajst-2096	63	15	series	series	NOUN
ajst-2096	63	16	may	may	AUX
ajst-2096	63	17	be	be	AUX
ajst-2096	63	18	a	a	DET
ajst-2096	63	19	stationary	stationary	ADJ
ajst-2096	63	20	time	time	NOUN
ajst-2096	63	21	series	series	NOUN
ajst-2096	63	22	,	,	PUNCT
ajst-2096	63	23	and	and	CCONJ
ajst-2096	63	24	then	then	ADV
ajst-2096	63	25	the	the	DET
ajst-2096	63	26	unit	unit	NOUN
ajst-2096	63	27	root	root	NOUN
ajst-2096	63	28	test	test	NOUN
ajst-2096	63	29	method	method	NOUN
ajst-2096	63	30	is	be	AUX
ajst-2096	63	31	used	use	VERB
ajst-2096	63	32	for	for	ADP
ajst-2096	63	33	further	further	ADJ
ajst-2096	63	34	confirmation	confirmation	NOUN
ajst-2096	63	35	.	.	PUNCT
ajst-2096	64	1	there	there	PRON
ajst-2096	64	2	are	be	VERB
ajst-2096	64	3	two	two	NUM
ajst-2096	64	4	common	common	ADJ
ajst-2096	64	5	methods	method	NOUN
ajst-2096	64	6	to	to	PART
ajst-2096	64	7	transform	transform	VERB
ajst-2096	64	8	non	non	ADJ
ajst-2096	64	9	-	-	ADJ
ajst-2096	64	10	stationary	stationary	ADJ
ajst-2096	64	11	series	series	NOUN
ajst-2096	64	12	into	into	ADP
ajst-2096	64	13	stationary	stationary	ADJ
ajst-2096	64	14	time	time	NOUN
ajst-2096	64	15	series	series	NOUN
ajst-2096	64	16	:	:	PUNCT
ajst-2096	64	17	one	one	NUM
ajst-2096	64	18	is	be	AUX
ajst-2096	64	19	to	to	PART
ajst-2096	64	20	take	take	VERB
ajst-2096	64	21	logarithms	logarithm	NOUN
ajst-2096	64	22	of	of	ADP
ajst-2096	64	23	variables	variable	NOUN
ajst-2096	64	24	.	.	PUNCT
ajst-2096	65	1	the	the	DET
ajst-2096	65	2	second	second	NOUN
ajst-2096	65	3	is	be	AUX
ajst-2096	65	4	to	to	PART
ajst-2096	65	5	do	do	VERB
ajst-2096	65	6	differential	differential	NOUN
ajst-2096	65	7	processing	processing	NOUN
ajst-2096	65	8	on	on	ADP
ajst-2096	65	9	the	the	DET
ajst-2096	65	10	sequence	sequence	NOUN
ajst-2096	65	11	.	.	PUNCT
ajst-2096	66	1	the	the	DET
ajst-2096	66	2	value	value	NOUN
ajst-2096	66	3	of	of	ADP
ajst-2096	66	4	d	d	PROPN
ajst-2096	66	5	is	be	AUX
ajst-2096	66	6	the	the	DET
ajst-2096	66	7	number	number	NOUN
ajst-2096	66	8	of	of	ADP
ajst-2096	66	9	times	time	NOUN
ajst-2096	66	10	the	the	DET
ajst-2096	66	11	difference	difference	NOUN
ajst-2096	66	12	needs	need	VERB
ajst-2096	66	13	to	to	PART
ajst-2096	66	14	be	be	AUX
ajst-2096	66	15	performed	perform	VERB
ajst-2096	66	16	.	.	PUNCT
ajst-2096	67	1	the	the	DET
ajst-2096	67	2	values	value	NOUN
ajst-2096	67	3	of	of	ADP
ajst-2096	67	4	p	p	NOUN
ajst-2096	67	5	and	and	CCONJ
ajst-2096	67	6	q	q	NOUN
ajst-2096	67	7	need	need	NOUN
ajst-2096	67	8	to	to	PART
ajst-2096	67	9	be	be	AUX
ajst-2096	67	10	determined	determine	VERB
ajst-2096	67	11	by	by	ADP
ajst-2096	67	12	autocorrelation	autocorrelation	NOUN
ajst-2096	67	13	coefficients	coefficient	NOUN
ajst-2096	67	14	(	(	PUNCT
ajst-2096	67	15	acf	acf	PROPN
ajst-2096	67	16	)	)	PUNCT
ajst-2096	67	17	and	and	CCONJ
ajst-2096	67	18	partial	partial	ADJ
ajst-2096	67	19	autocorrelation	autocorrelation	NOUN
ajst-2096	67	20	coefficients	coefficient	NOUN
ajst-2096	67	21	(	(	PUNCT
ajst-2096	67	22	pacf	pacf	NOUN
ajst-2096	67	23	)	)	PUNCT
ajst-2096	67	24	.	.	PUNCT
ajst-2096	68	1	the	the	DET
ajst-2096	68	2	selection	selection	NOUN
ajst-2096	68	3	principles	principle	NOUN
ajst-2096	68	4	are	be	AUX
ajst-2096	68	5	shown	show	VERB
ajst-2096	68	6	in	in	ADP
ajst-2096	68	7	table	table	NOUN
ajst-2096	68	8	1	1	NUM
ajst-2096	68	9	below	below	ADV
ajst-2096	68	10	.	.	PUNCT
ajst-2096	69	1	table	table	NOUN
ajst-2096	69	2	1	1	NUM
ajst-2096	69	3	.	.	PUNCT
ajst-2096	69	4	selection	selection	NOUN
ajst-2096	69	5	principle	principle	NOUN
ajst-2096	69	6	of	of	ADP
ajst-2096	69	7	arima	arima	PROPN
ajst-2096	69	8	(	(	PUNCT
ajst-2096	69	9	p	p	X
ajst-2096	69	10	,	,	PUNCT
ajst-2096	69	11	q	q	NOUN
ajst-2096	69	12	)	)	PUNCT
ajst-2096	69	13	model	model	NOUN
ajst-2096	69	14	acf	acf	PROPN
ajst-2096	69	15	pacf	pacf	PROPN
ajst-2096	69	16	model	model	NOUN
ajst-2096	69	17	tailing	tail	VERB
ajst-2096	69	18	q	q	NOUN
ajst-2096	69	19	order	order	NOUN
ajst-2096	69	20	truncation	truncation	NOUN
ajst-2096	69	21	arma	arma	NOUN
ajst-2096	69	22	(	(	PUNCT
ajst-2096	69	23	p	p	X
ajst-2096	69	24	,	,	PUNCT
ajst-2096	69	25	0	0	NUM
ajst-2096	69	26	)	)	PUNCT
ajst-2096	69	27	q	q	NOUN
ajst-2096	69	28	order	order	NOUN
ajst-2096	69	29	truncation	truncation	NOUN
ajst-2096	69	30	tailing	tail	VERB
ajst-2096	69	31	arma	arma	NOUN
ajst-2096	69	32	(	(	PUNCT
ajst-2096	69	33	0	0	NUM
ajst-2096	69	34	,	,	PUNCT
ajst-2096	69	35	q	q	NOUN
ajst-2096	69	36	)	)	PUNCT
ajst-2096	69	37	tailing	tail	VERB
ajst-2096	69	38	tailing	tail	VERB
ajst-2096	69	39	arma	arma	NOUN
ajst-2096	69	40	(	(	PUNCT
ajst-2096	69	41	p	p	X
ajst-2096	69	42	,	,	PUNCT
ajst-2096	69	43	q	q	NOUN
ajst-2096	69	44	)	)	PUNCT
ajst-2096	69	45	the	the	DET
ajst-2096	69	46	second	second	ADJ
ajst-2096	69	47	step	step	NOUN
ajst-2096	69	48	is	be	AUX
ajst-2096	69	49	to	to	PART
ajst-2096	69	50	estimate	estimate	VERB
ajst-2096	69	51	the	the	DET
ajst-2096	69	52	model	model	NOUN
ajst-2096	69	53	parameters	parameter	NOUN
ajst-2096	69	54	,	,	PUNCT
ajst-2096	69	55	generally	generally	ADV
ajst-2096	69	56	including	include	VERB
ajst-2096	69	57	least	least	ADJ
ajst-2096	69	58	square	square	ADJ
ajst-2096	69	59	method	method	NOUN
ajst-2096	69	60	,	,	PUNCT
ajst-2096	69	61	maximum	maximum	ADJ
ajst-2096	69	62	likelihood	likelihood	NOUN
ajst-2096	69	63	estimation	estimation	NOUN
ajst-2096	69	64	method	method	NOUN
ajst-2096	69	65	,	,	PUNCT
ajst-2096	69	66	etc	etc	X
ajst-2096	69	67	.	.	X
ajst-2096	70	1	the	the	DET
ajst-2096	70	2	third	third	ADJ
ajst-2096	70	3	step	step	NOUN
ajst-2096	70	4	is	be	AUX
ajst-2096	70	5	to	to	PART
ajst-2096	70	6	test	test	VERB
ajst-2096	70	7	the	the	DET
ajst-2096	70	8	model	model	NOUN
ajst-2096	70	9	,	,	PUNCT
ajst-2096	70	10	mainly	mainly	ADV
ajst-2096	70	11	through	through	ADP
ajst-2096	70	12	whether	whether	SCONJ
ajst-2096	70	13	the	the	DET
ajst-2096	70	14	parameters	parameter	NOUN
ajst-2096	70	15	of	of	ADP
ajst-2096	70	16	the	the	DET
ajst-2096	70	17	model	model	NOUN
ajst-2096	70	18	have	have	AUX
ajst-2096	70	19	a	a	DET
ajst-2096	70	20	significance	significance	NOUN
ajst-2096	70	21	level	level	NOUN
ajst-2096	70	22	and	and	CCONJ
ajst-2096	70	23	whether	whether	SCONJ
ajst-2096	70	24	the	the	DET
ajst-2096	70	25	estimated	estimate	VERB
ajst-2096	70	26	residual	residual	ADJ
ajst-2096	70	27	sequence	sequence	NOUN
ajst-2096	70	28	is	be	AUX
ajst-2096	70	29	a	a	DET
ajst-2096	70	30	white	white	ADJ
ajst-2096	70	31	noise	noise	NOUN
ajst-2096	70	32	sequence	sequence	NOUN
ajst-2096	70	33	.	.	PUNCT
ajst-2096	71	1	if	if	SCONJ
ajst-2096	71	2	these	these	DET
ajst-2096	71	3	two	two	NUM
ajst-2096	71	4	aspects	aspect	NOUN
ajst-2096	71	5	are	be	AUX
ajst-2096	71	6	met	meet	VERB
ajst-2096	71	7	at	at	ADP
ajst-2096	71	8	the	the	DET
ajst-2096	71	9	same	same	ADJ
ajst-2096	71	10	time	time	NOUN
ajst-2096	71	11	,	,	PUNCT
ajst-2096	71	12	the	the	DET
ajst-2096	71	13	model	model	NOUN
ajst-2096	71	14	passes	pass	VERB
ajst-2096	71	15	the	the	DET
ajst-2096	71	16	test	test	NOUN
ajst-2096	71	17	,	,	PUNCT
ajst-2096	71	18	otherwise	otherwise	ADV
ajst-2096	71	19	the	the	DET
ajst-2096	71	20	model	model	NOUN
ajst-2096	71	21	needs	need	VERB
ajst-2096	71	22	to	to	PART
ajst-2096	71	23	be	be	AUX
ajst-2096	71	24	rebuilt	rebuild	VERB
ajst-2096	71	25	.	.	PUNCT
ajst-2096	72	1	the	the	DET
ajst-2096	72	2	fourth	fourth	ADJ
ajst-2096	72	3	step	step	NOUN
ajst-2096	72	4	is	be	AUX
ajst-2096	72	5	to	to	PART
ajst-2096	72	6	make	make	VERB
ajst-2096	72	7	dynamic	dynamic	ADJ
ajst-2096	72	8	prediction	prediction	NOUN
ajst-2096	72	9	according	accord	VERB
ajst-2096	72	10	to	to	ADP
ajst-2096	72	11	the	the	DET
ajst-2096	72	12	model	model	NOUN
ajst-2096	72	13	,	,	PUNCT
ajst-2096	72	14	compare	compare	VERB
ajst-2096	72	15	the	the	DET
ajst-2096	72	16	actual	actual	ADJ
ajst-2096	72	17	value	value	NOUN
ajst-2096	72	18	with	with	ADP
ajst-2096	72	19	the	the	DET
ajst-2096	72	20	predicted	predict	VERB
ajst-2096	72	21	value	value	NOUN
ajst-2096	72	22	,	,	PUNCT
ajst-2096	72	23	and	and	CCONJ
ajst-2096	72	24	further	far	ADV
ajst-2096	72	25	judge	judge	VERB
ajst-2096	72	26	the	the	DET
ajst-2096	72	27	feasibility	feasibility	NOUN
ajst-2096	72	28	of	of	ADP
ajst-2096	72	29	the	the	DET
ajst-2096	72	30	model	model	NOUN
ajst-2096	72	31	.	.	PUNCT
ajst-2096	73	1	4	4	X
ajst-2096	73	2	.	.	X
ajst-2096	73	3	forecast	forecast	NOUN
ajst-2096	73	4	and	and	CCONJ
ajst-2096	73	5	analysis	analysis	NOUN
ajst-2096	73	6	of	of	ADP
ajst-2096	73	7	national	national	ADJ
ajst-2096	73	8	gdp	gdp	NOUN
ajst-2096	73	9	level	level	NOUN
ajst-2096	73	10	4.1	4.1	NUM
ajst-2096	73	11	.	.	PUNCT
ajst-2096	74	1	model	model	NOUN
ajst-2096	74	2	identification	identification	NOUN
ajst-2096	74	3	4.1.1	4.1.1	PROPN
ajst-2096	74	4	.	.	PUNCT
ajst-2096	75	1	unit	unit	NOUN
ajst-2096	75	2	root	root	PROPN
ajst-2096	75	3	test	test	NOUN
ajst-2096	75	4	in	in	ADP
ajst-2096	75	5	this	this	DET
ajst-2096	75	6	paper	paper	NOUN
ajst-2096	75	7	,	,	PUNCT
ajst-2096	75	8	the	the	DET
ajst-2096	75	9	national	national	PROPN
ajst-2096	75	10	gdp	gdp	PROPN
ajst-2096	75	11	data	datum	NOUN
ajst-2096	75	12	from	from	ADP
ajst-2096	75	13	1978	1978	NUM
ajst-2096	75	14	to	to	ADP
ajst-2096	75	15	2019	2019	NUM
ajst-2096	75	16	are	be	AUX
ajst-2096	75	17	downloaded	download	VERB
ajst-2096	75	18	from	from	ADP
ajst-2096	75	19	the	the	DET
ajst-2096	75	20	website	website	NOUN
ajst-2096	75	21	of	of	ADP
ajst-2096	75	22	the	the	DET
ajst-2096	75	23	national	national	PROPN
ajst-2096	75	24	bureau	bureau	PROPN
ajst-2096	75	25	of	of	ADP
ajst-2096	75	26	statistics	statistic	NOUN
ajst-2096	75	27	.	.	PUNCT
ajst-2096	76	1	it	it	PRON
ajst-2096	76	2	can	can	AUX
ajst-2096	76	3	be	be	AUX
ajst-2096	76	4	seen	see	VERB
ajst-2096	76	5	from	from	ADP
ajst-2096	76	6	the	the	DET
ajst-2096	76	7	time	time	NOUN
ajst-2096	76	8	sequence	sequence	NOUN
ajst-2096	76	9	diagram	diagram	NOUN
ajst-2096	76	10	in	in	ADP
ajst-2096	76	11	figure	figure	NOUN
ajst-2096	76	12	1	1	NUM
ajst-2096	76	13	that	that	SCONJ
ajst-2096	76	14	the	the	DET
ajst-2096	76	15	gdp	gdp	NOUN
ajst-2096	76	16	is	be	AUX
ajst-2096	76	17	increasing	increase	VERB
ajst-2096	76	18	with	with	ADP
ajst-2096	76	19	time	time	NOUN
ajst-2096	76	20	,	,	PUNCT
ajst-2096	76	21	which	which	PRON
ajst-2096	76	22	can	can	AUX
ajst-2096	76	23	be	be	AUX
ajst-2096	76	24	roughly	roughly	ADV
ajst-2096	76	25	judged	judge	VERB
ajst-2096	76	26	as	as	ADP
ajst-2096	76	27	a	a	DET
ajst-2096	76	28	non	non	ADJ
ajst-2096	76	29	-	-	ADJ
ajst-2096	76	30	stationary	stationary	ADJ
ajst-2096	76	31	sequence	sequence	NOUN
ajst-2096	76	32	.	.	PUNCT
ajst-2096	77	1	subsequently	subsequently	ADV
ajst-2096	77	2	,	,	PUNCT
ajst-2096	77	3	adf	adf	PROPN
ajst-2096	77	4	method	method	NOUN
ajst-2096	77	5	was	be	AUX
ajst-2096	77	6	used	use	VERB
ajst-2096	77	7	to	to	PART
ajst-2096	77	8	carry	carry	VERB
ajst-2096	77	9	out	out	ADP
ajst-2096	77	10	unit	unit	NOUN
ajst-2096	77	11	root	root	NOUN
ajst-2096	77	12	test	test	NOUN
ajst-2096	77	13	.	.	PUNCT
ajst-2096	78	1	the	the	DET
ajst-2096	78	2	results	result	NOUN
ajst-2096	78	3	are	be	AUX
ajst-2096	78	4	shown	show	VERB
ajst-2096	78	5	in	in	ADP
ajst-2096	78	6	table	table	NOUN
ajst-2096	78	7	2	2	NUM
ajst-2096	78	8	.	.	PUNCT
ajst-2096	79	1	the	the	DET
ajst-2096	79	2	p	p	PROPN
ajst-2096	79	3	value	value	NOUN
ajst-2096	79	4	is	be	AUX
ajst-2096	79	5	equal	equal	ADJ
ajst-2096	79	6	to	to	ADP
ajst-2096	79	7	1	1	NUM
ajst-2096	79	8	,	,	PUNCT
ajst-2096	79	9	that	that	ADV
ajst-2096	79	10	is	is	ADV
ajst-2096	79	11	,	,	PUNCT
ajst-2096	79	12	the	the	DET
ajst-2096	79	13	original	original	ADJ
ajst-2096	79	14	hypothesis	hypothesis	NOUN
ajst-2096	79	15	is	be	AUX
ajst-2096	79	16	accepted	accept	VERB
ajst-2096	79	17	at	at	ADP
ajst-2096	79	18	the	the	DET
ajst-2096	79	19	level	level	NOUN
ajst-2096	79	20	of	of	ADP
ajst-2096	79	21	1	1	NUM
ajst-2096	79	22	%	%	NOUN
ajst-2096	79	23	,	,	PUNCT
ajst-2096	79	24	5	5	NUM
ajst-2096	79	25	%	%	NOUN
ajst-2096	79	26	and	and	CCONJ
ajst-2096	79	27	10	10	NUM
ajst-2096	79	28	%	%	NOUN
ajst-2096	79	29	.	.	PUNCT
ajst-2096	80	1	therefore	therefore	ADV
ajst-2096	80	2	,	,	PUNCT
ajst-2096	80	3	this	this	DET
ajst-2096	80	4	series	series	NOUN
ajst-2096	80	5	is	be	AUX
ajst-2096	80	6	non	non	ADJ
ajst-2096	80	7	-	-	ADJ
ajst-2096	80	8	stationary	stationary	ADJ
ajst-2096	80	9	.	.	PUNCT
ajst-2096	81	1	80	80	NUM
ajst-2096	81	2	figure	figure	NOUN
ajst-2096	81	3	1	1	NUM
ajst-2096	81	4	.	.	PUNCT
ajst-2096	81	5	gdp	gdp	PROPN
ajst-2096	81	6	time	time	PROPN
ajst-2096	81	7	series	series	PROPN
ajst-2096	81	8	table	table	NOUN
ajst-2096	81	9	2	2	NUM
ajst-2096	81	10	.	.	PUNCT
ajst-2096	82	1	adf	adf	NOUN
ajst-2096	82	2	test	test	NOUN
ajst-2096	82	3	of	of	ADP
ajst-2096	82	4	gdp	gdp	PROPN
ajst-2096	82	5	series	series	PROPN
ajst-2096	82	6	t	t	PROPN
ajst-2096	82	7	-	-	PUNCT
ajst-2096	82	8	statistic	statistic	NOUN
ajst-2096	82	9	prob	prob	NOUN
ajst-2096	82	10	.	.	PUNCT
ajst-2096	82	11	*	*	PUNCT
ajst-2096	83	1	adf	adf	PROPN
ajst-2096	83	2	test	test	NOUN
ajst-2096	83	3	statistic	statistic	NOUN
ajst-2096	83	4	4.143889	4.143889	NUM
ajst-2096	83	5	1.0000	1.0000	NUM
ajst-2096	83	6	test	test	NOUN
ajst-2096	83	7	critical	critical	ADJ
ajst-2096	83	8	values	value	NOUN
ajst-2096	83	9	:	:	PUNCT
ajst-2096	83	10	1	1	NUM
ajst-2096	83	11	%	%	NOUN
ajst-2096	83	12	level	level	NOUN
ajst-2096	83	13	-3.646342	-3.646342	NOUN
ajst-2096	83	14	5	5	NUM
ajst-2096	83	15	%	%	NOUN
ajst-2096	83	16	level	level	NOUN
ajst-2096	83	17	-2.954021	-2.954021	NOUN
ajst-2096	83	18	10	10	NUM
ajst-2096	83	19	%	%	NOUN
ajst-2096	83	20	level	level	NOUN
ajst-2096	83	21	-2.615817	-2.615817	NOUN
ajst-2096	83	22	4.1.2	4.1.2	NUM
ajst-2096	83	23	.	.	PUNCT
ajst-2096	83	24	stabilization	stabilization	NOUN
ajst-2096	83	25	treatment	treatment	NOUN
ajst-2096	83	26	in	in	ADP
ajst-2096	83	27	this	this	DET
ajst-2096	83	28	paper	paper	NOUN
ajst-2096	83	29	,	,	PUNCT
ajst-2096	83	30	the	the	DET
ajst-2096	83	31	original	original	ADJ
ajst-2096	83	32	data	datum	NOUN
ajst-2096	83	33	gdp	gdp	NOUN
ajst-2096	83	34	is	be	AUX
ajst-2096	83	35	logarithmically	logarithmically	ADV
ajst-2096	83	36	processed	process	VERB
ajst-2096	83	37	and	and	CCONJ
ajst-2096	83	38	recorded	record	VERB
ajst-2096	83	39	as	as	ADP
ajst-2096	83	40	lngdp	lngdp	NOUN
ajst-2096	83	41	.	.	PUNCT
ajst-2096	84	1	according	accord	VERB
ajst-2096	84	2	to	to	ADP
ajst-2096	84	3	the	the	DET
ajst-2096	84	4	above	above	ADJ
ajst-2096	84	5	steps	step	NOUN
ajst-2096	84	6	,	,	PUNCT
ajst-2096	84	7	the	the	DET
ajst-2096	84	8	time	time	NOUN
ajst-2096	84	9	series	series	PROPN
ajst-2096	84	10	diagram	diagram	PROPN
ajst-2096	84	11	of	of	ADP
ajst-2096	84	12	lngdp	lngdp	NOUN
ajst-2096	84	13	is	be	AUX
ajst-2096	84	14	made	make	VERB
ajst-2096	84	15	and	and	CCONJ
ajst-2096	84	16	the	the	DET
ajst-2096	84	17	adf	adf	NOUN
ajst-2096	84	18	method	method	NOUN
ajst-2096	84	19	is	be	AUX
ajst-2096	84	20	used	use	VERB
ajst-2096	84	21	for	for	ADP
ajst-2096	84	22	testing	testing	NOUN
ajst-2096	84	23	.	.	PUNCT
ajst-2096	85	1	the	the	DET
ajst-2096	85	2	results	result	NOUN
ajst-2096	85	3	show	show	VERB
ajst-2096	85	4	that	that	SCONJ
ajst-2096	85	5	lngdp	lngdp	NOUN
ajst-2096	85	6	increases	increase	NOUN
ajst-2096	85	7	with	with	ADP
ajst-2096	85	8	time	time	NOUN
ajst-2096	85	9	,	,	PUNCT
ajst-2096	85	10	and	and	CCONJ
ajst-2096	85	11	the	the	DET
ajst-2096	85	12	p	p	NOUN
ajst-2096	85	13	value	value	NOUN
ajst-2096	85	14	of	of	ADP
ajst-2096	85	15	the	the	DET
ajst-2096	85	16	adf	adf	PROPN
ajst-2096	85	17	test	test	NOUN
ajst-2096	85	18	result	result	NOUN
ajst-2096	85	19	is	be	AUX
ajst-2096	85	20	still	still	ADV
ajst-2096	85	21	at	at	ADP
ajst-2096	85	22	the	the	DET
ajst-2096	85	23	level	level	NOUN
ajst-2096	85	24	of	of	ADP
ajst-2096	85	25	1	1	NUM
ajst-2096	85	26	%	%	NOUN
ajst-2096	85	27	,	,	PUNCT
ajst-2096	85	28	5	5	NUM
ajst-2096	85	29	%	%	NOUN
ajst-2096	85	30	,	,	PUNCT
ajst-2096	85	31	and	and	CCONJ
ajst-2096	85	32	10	10	NUM
ajst-2096	85	33	%	%	NOUN
ajst-2096	85	34	,	,	PUNCT
ajst-2096	85	35	which	which	PRON
ajst-2096	85	36	are	be	AUX
ajst-2096	85	37	subject	subject	ADJ
ajst-2096	85	38	to	to	ADP
ajst-2096	85	39	the	the	DET
ajst-2096	85	40	original	original	ADJ
ajst-2096	85	41	hypothesis	hypothesis	NOUN
ajst-2096	85	42	,	,	PUNCT
ajst-2096	85	43	and	and	CCONJ
ajst-2096	85	44	are	be	AUX
ajst-2096	85	45	non	non	ADJ
ajst-2096	85	46	-	-	ADJ
ajst-2096	85	47	stationary	stationary	ADJ
ajst-2096	85	48	series	series	NOUN
ajst-2096	85	49	.	.	PUNCT
ajst-2096	86	1	next	next	ADV
ajst-2096	86	2	,	,	PUNCT
ajst-2096	86	3	take	take	VERB
ajst-2096	86	4	the	the	DET
ajst-2096	86	5	first	first	ADJ
ajst-2096	86	6	order	order	NOUN
ajst-2096	86	7	difference	difference	NOUN
ajst-2096	86	8	of	of	ADP
ajst-2096	86	9	gdp	gdp	NOUN
ajst-2096	86	10	lngdp	lngdp	NOUN
ajst-2096	86	11	and	and	CCONJ
ajst-2096	86	12	record	record	VERB
ajst-2096	86	13	it	it	PRON
ajst-2096	86	14	as	as	ADP
ajst-2096	86	15	dlngdp	dlngdp	NOUN
ajst-2096	86	16	.	.	PUNCT
ajst-2096	87	1	the	the	DET
ajst-2096	87	2	stability	stability	NOUN
ajst-2096	87	3	test	test	NOUN
ajst-2096	87	4	results	result	NOUN
ajst-2096	87	5	are	be	AUX
ajst-2096	87	6	shown	show	VERB
ajst-2096	87	7	in	in	ADP
ajst-2096	87	8	figure	figure	NOUN
ajst-2096	87	9	2	2	NUM
ajst-2096	87	10	and	and	CCONJ
ajst-2096	87	11	table	table	NOUN
ajst-2096	87	12	3	3	NUM
ajst-2096	87	13	.	.	PUNCT
ajst-2096	88	1	it	it	PRON
ajst-2096	88	2	can	can	AUX
ajst-2096	88	3	be	be	AUX
ajst-2096	88	4	roughly	roughly	ADV
ajst-2096	88	5	judged	judge	VERB
ajst-2096	88	6	from	from	ADP
ajst-2096	88	7	figure	figure	NOUN
ajst-2096	88	8	2	2	NUM
ajst-2096	88	9	that	that	SCONJ
ajst-2096	88	10	this	this	DET
ajst-2096	88	11	data	data	NOUN
ajst-2096	88	12	series	series	NOUN
ajst-2096	88	13	belongs	belong	VERB
ajst-2096	88	14	to	to	ADP
ajst-2096	88	15	a	a	DET
ajst-2096	88	16	stationary	stationary	ADJ
ajst-2096	88	17	series	series	NOUN
ajst-2096	88	18	.	.	PUNCT
ajst-2096	89	1	the	the	DET
ajst-2096	89	2	unit	unit	NOUN
ajst-2096	89	3	root	root	PROPN
ajst-2096	89	4	test	test	NOUN
ajst-2096	89	5	results	result	NOUN
ajst-2096	89	6	show	show	VERB
ajst-2096	89	7	that	that	SCONJ
ajst-2096	89	8	the	the	DET
ajst-2096	89	9	p	p	PROPN
ajst-2096	89	10	value	value	NOUN
ajst-2096	89	11	is	be	AUX
ajst-2096	89	12	less	less	ADJ
ajst-2096	89	13	than	than	ADP
ajst-2096	89	14	0.05	0.05	NUM
ajst-2096	89	15	,	,	PUNCT
ajst-2096	89	16	that	that	ADV
ajst-2096	89	17	is	is	ADV
ajst-2096	89	18	,	,	PUNCT
ajst-2096	89	19	it	it	PRON
ajst-2096	89	20	is	be	AUX
ajst-2096	89	21	significant	significant	ADJ
ajst-2096	89	22	at	at	ADP
ajst-2096	89	23	the	the	DET
ajst-2096	89	24	level	level	NOUN
ajst-2096	89	25	of	of	ADP
ajst-2096	89	26	5	5	NUM
ajst-2096	89	27	%	%	NOUN
ajst-2096	89	28	and	and	CCONJ
ajst-2096	89	29	10	10	NUM
ajst-2096	89	30	%	%	NOUN
ajst-2096	89	31	.	.	PUNCT
ajst-2096	90	1	this	this	DET
ajst-2096	90	2	data	data	NOUN
ajst-2096	90	3	series	series	NOUN
ajst-2096	90	4	has	have	VERB
ajst-2096	90	5	no	no	DET
ajst-2096	90	6	unit	unit	NOUN
ajst-2096	90	7	root	root	NOUN
ajst-2096	90	8	,	,	PUNCT
ajst-2096	90	9	that	that	ADV
ajst-2096	90	10	is	is	ADV
ajst-2096	90	11	,	,	PUNCT
ajst-2096	90	12	dlngdp	dlngdp	NOUN
ajst-2096	90	13	belongs	belong	VERB
ajst-2096	90	14	to	to	ADP
ajst-2096	90	15	a	a	DET
ajst-2096	90	16	stationary	stationary	ADJ
ajst-2096	90	17	series	series	NOUN
ajst-2096	90	18	.	.	PUNCT
ajst-2096	91	1	arma	arma	PROPN
ajst-2096	91	2	model	model	NOUN
ajst-2096	91	3	can	can	AUX
ajst-2096	91	4	be	be	AUX
ajst-2096	91	5	established	establish	VERB
ajst-2096	91	6	.	.	PUNCT
ajst-2096	92	1	figure	figure	NOUN
ajst-2096	92	2	2	2	NUM
ajst-2096	92	3	.	.	NOUN
ajst-2096	92	4	dlngdp	dlngdp	PROPN
ajst-2096	92	5	time	time	PROPN
ajst-2096	92	6	series	series	PROPN
ajst-2096	92	7	table	table	NOUN
ajst-2096	92	8	3	3	NUM
ajst-2096	92	9	.	.	PUNCT
ajst-2096	93	1	adf	adf	NOUN
ajst-2096	93	2	test	test	NOUN
ajst-2096	93	3	of	of	ADP
ajst-2096	93	4	dlngdp	dlngdp	PROPN
ajst-2096	93	5	series	series	PROPN
ajst-2096	93	6	t	t	PROPN
ajst-2096	93	7	-	-	PUNCT
ajst-2096	93	8	statistic	statistic	NOUN
ajst-2096	93	9	prob	prob	NOUN
ajst-2096	93	10	.	.	PUNCT
ajst-2096	93	11	*	*	PUNCT
ajst-2096	94	1	adf	adf	PROPN
ajst-2096	94	2	test	test	NOUN
ajst-2096	94	3	statistic	statistic	PROPN
ajst-2096	94	4	-3.4254	-3.4254	NOUN
ajst-2096	94	5	0.0163	0.0163	NUM
ajst-2096	94	6	test	test	NOUN
ajst-2096	94	7	critical	critical	ADJ
ajst-2096	94	8	values	value	NOUN
ajst-2096	94	9	:	:	PUNCT
ajst-2096	94	10	1%level	1%level	NUM
ajst-2096	94	11	-3.6210	-3.6210	NOUN
ajst-2096	94	12	5%level	5%level	NUM
ajst-2096	94	13	-2.9434	-2.9434	NOUN
ajst-2096	94	14	10%level	10%level	NUM
ajst-2096	94	15	-2.6103	-2.6103	NOUN
ajst-2096	94	16	81	81	NUM
ajst-2096	94	17	4.1.3	4.1.3	NUM
ajst-2096	94	18	.	.	PUNCT
ajst-2096	95	1	determining	determine	VERB
ajst-2096	95	2	the	the	DET
ajst-2096	95	3	order	order	NOUN
ajst-2096	95	4	from	from	ADP
ajst-2096	95	5	the	the	DET
ajst-2096	95	6	stationarity	stationarity	NOUN
ajst-2096	95	7	test	test	NOUN
ajst-2096	95	8	and	and	CCONJ
ajst-2096	95	9	stability	stability	NOUN
ajst-2096	95	10	processing	processing	NOUN
ajst-2096	95	11	above	above	ADV
ajst-2096	95	12	,	,	PUNCT
ajst-2096	95	13	we	we	PRON
ajst-2096	95	14	know	know	VERB
ajst-2096	95	15	that	that	SCONJ
ajst-2096	95	16	d=1	d=1	NOUN
ajst-2096	95	17	.	.	PUNCT
ajst-2096	96	1	next	next	ADV
ajst-2096	96	2	,	,	PUNCT
ajst-2096	96	3	we	we	PRON
ajst-2096	96	4	determine	determine	VERB
ajst-2096	96	5	the	the	DET
ajst-2096	96	6	values	value	NOUN
ajst-2096	96	7	of	of	ADP
ajst-2096	96	8	p	p	NOUN
ajst-2096	96	9	and	and	CCONJ
ajst-2096	96	10	q	q	NOUN
ajst-2096	96	11	in	in	ADP
ajst-2096	96	12	the	the	DET
ajst-2096	96	13	arma	arma	PROPN
ajst-2096	96	14	model	model	NOUN
ajst-2096	96	15	through	through	ADP
ajst-2096	96	16	the	the	DET
ajst-2096	96	17	autocorrelation	autocorrelation	NOUN
ajst-2096	96	18	coefficient	coefficient	NOUN
ajst-2096	96	19	(	(	PUNCT
ajst-2096	96	20	acf	acf	PROPN
ajst-2096	96	21	)	)	PUNCT
ajst-2096	96	22	and	and	CCONJ
ajst-2096	96	23	partial	partial	ADJ
ajst-2096	96	24	autocorrelation	autocorrelation	NOUN
ajst-2096	96	25	coefficient	coefficient	NOUN
ajst-2096	96	26	(	(	PUNCT
ajst-2096	96	27	pacf	pacf	NOUN
ajst-2096	96	28	)	)	PUNCT
ajst-2096	96	29	.	.	PUNCT
ajst-2096	97	1	the	the	DET
ajst-2096	97	2	results	result	NOUN
ajst-2096	97	3	of	of	ADP
ajst-2096	97	4	autocorrelation	autocorrelation	NOUN
ajst-2096	97	5	coefficient	coefficient	NOUN
ajst-2096	97	6	(	(	PUNCT
ajst-2096	97	7	acf	acf	PROPN
ajst-2096	97	8	)	)	PUNCT
ajst-2096	97	9	and	and	CCONJ
ajst-2096	97	10	partial	partial	ADJ
ajst-2096	97	11	autocorrelation	autocorrelation	NOUN
ajst-2096	97	12	coefficient	coefficient	NOUN
ajst-2096	97	13	(	(	PUNCT
ajst-2096	97	14	pacf	pacf	NOUN
ajst-2096	97	15	)	)	PUNCT
ajst-2096	97	16	are	be	AUX
ajst-2096	97	17	shown	show	VERB
ajst-2096	97	18	in	in	ADP
ajst-2096	97	19	table	table	NOUN
ajst-2096	97	20	4	4	NUM
ajst-2096	97	21	.	.	PUNCT
ajst-2096	98	1	it	it	PRON
ajst-2096	98	2	can	can	AUX
ajst-2096	98	3	be	be	AUX
ajst-2096	98	4	seen	see	VERB
ajst-2096	98	5	from	from	ADP
ajst-2096	98	6	table	table	NOUN
ajst-2096	98	7	4	4	NUM
ajst-2096	98	8	that	that	SCONJ
ajst-2096	98	9	the	the	DET
ajst-2096	98	10	autocorrelation	autocorrelation	NOUN
ajst-2096	98	11	coefficient	coefficient	NOUN
ajst-2096	98	12	is	be	AUX
ajst-2096	98	13	first	first	ADJ
ajst-2096	98	14	-	-	PUNCT
ajst-2096	98	15	order	order	NOUN
ajst-2096	98	16	truncation	truncation	NOUN
ajst-2096	98	17	.	.	PUNCT
ajst-2096	99	1	the	the	DET
ajst-2096	99	2	partial	partial	ADJ
ajst-2096	99	3	autocorrelation	autocorrelation	NOUN
ajst-2096	99	4	coefficient	coefficient	NOUN
ajst-2096	99	5	shows	show	VERB
ajst-2096	99	6	the	the	DET
ajst-2096	99	7	first	first	ADJ
ajst-2096	99	8	order	order	NOUN
ajst-2096	99	9	truncation	truncation	NOUN
ajst-2096	99	10	.	.	PUNCT
ajst-2096	100	1	however	however	ADV
ajst-2096	100	2	,	,	PUNCT
ajst-2096	100	3	it	it	PRON
ajst-2096	100	4	may	may	AUX
ajst-2096	100	5	be	be	AUX
ajst-2096	100	6	inaccurate	inaccurate	ADJ
ajst-2096	100	7	to	to	PART
ajst-2096	100	8	judge	judge	VERB
ajst-2096	100	9	the	the	DET
ajst-2096	100	10	values	value	NOUN
ajst-2096	100	11	of	of	ADP
ajst-2096	100	12	p	p	NOUN
ajst-2096	100	13	and	and	CCONJ
ajst-2096	100	14	q	q	NOUN
ajst-2096	100	15	in	in	ADP
ajst-2096	100	16	this	this	DET
ajst-2096	100	17	way	way	NOUN
ajst-2096	100	18	,	,	PUNCT
ajst-2096	100	19	and	and	CCONJ
ajst-2096	100	20	it	it	PRON
ajst-2096	100	21	is	be	AUX
ajst-2096	100	22	necessary	necessary	ADJ
ajst-2096	100	23	to	to	PART
ajst-2096	100	24	compare	compare	VERB
ajst-2096	100	25	several	several	ADJ
ajst-2096	100	26	different	different	ADJ
ajst-2096	100	27	values	value	NOUN
ajst-2096	100	28	of	of	ADP
ajst-2096	100	29	p	p	PROPN
ajst-2096	100	30	and	and	CCONJ
ajst-2096	100	31	q.	q.	PROPN
ajst-2096	100	32	therefore	therefore	ADV
ajst-2096	100	33	,	,	PUNCT
ajst-2096	100	34	the	the	DET
ajst-2096	100	35	arma	arma	NOUN
ajst-2096	100	36	(	(	PUNCT
ajst-2096	100	37	1	1	NUM
ajst-2096	100	38	,	,	PUNCT
ajst-2096	100	39	3	3	NUM
ajst-2096	100	40	)	)	PUNCT
ajst-2096	100	41	,	,	PUNCT
ajst-2096	100	42	arma	arma	PROPN
ajst-2096	100	43	(	(	PUNCT
ajst-2096	100	44	1	1	NUM
ajst-2096	100	45	,	,	PUNCT
ajst-2096	100	46	2	2	NUM
ajst-2096	100	47	)	)	PUNCT
ajst-2096	100	48	and	and	CCONJ
ajst-2096	100	49	arma	arma	PROPN
ajst-2096	100	50	(	(	PUNCT
ajst-2096	100	51	1	1	NUM
ajst-2096	100	52	,	,	PUNCT
ajst-2096	100	53	1	1	X
ajst-2096	100	54	)	)	PUNCT
ajst-2096	100	55	models	model	NOUN
ajst-2096	100	56	are	be	AUX
ajst-2096	100	57	roughly	roughly	ADV
ajst-2096	100	58	constructed	construct	VERB
ajst-2096	100	59	.	.	PUNCT
ajst-2096	101	1	the	the	DET
ajst-2096	101	2	results	result	NOUN
ajst-2096	101	3	are	be	AUX
ajst-2096	101	4	shown	show	VERB
ajst-2096	101	5	in	in	ADP
ajst-2096	101	6	table	table	NOUN
ajst-2096	101	7	5	5	NUM
ajst-2096	101	8	-	-	SYM
ajst-2096	101	9	7	7	NUM
ajst-2096	101	10	.	.	NOUN
ajst-2096	101	11	table	table	NOUN
ajst-2096	101	12	4	4	NUM
ajst-2096	101	13	.	.	PUNCT
ajst-2096	101	14	analysis	analysis	NOUN
ajst-2096	101	15	of	of	ADP
ajst-2096	101	16	n	n	CCONJ
ajst-2096	101	17	order	order	NOUN
ajst-2096	101	18	differential	differential	NOUN
ajst-2096	101	19	autocorrelation	autocorrelation	NOUN
ajst-2096	101	20	and	and	CCONJ
ajst-2096	101	21	partial	partial	ADJ
ajst-2096	101	22	autocorrelation	autocorrelation	NOUN
ajst-2096	101	23	ac	ac	PROPN
ajst-2096	101	24	pac	pac	PROPN
ajst-2096	102	1	q	q	ADJ
ajst-2096	102	2	-	-	PUNCT
ajst-2096	102	3	stat	stat	NOUN
ajst-2096	102	4	prob	prob	NOUN
ajst-2096	102	5	1	1	NUM
ajst-2096	102	6	0.665	0.665	NUM
ajst-2096	102	7	0.665	0.665	NUM
ajst-2096	102	8	19.466	19.466	NUM
ajst-2096	102	9	0.000	0.000	NUM
ajst-2096	102	10	2	2	NUM
ajst-2096	102	11	0.274	0.274	NUM
ajst-2096	102	12	-0.300	-0.300	NUM
ajst-2096	102	13	22.860	22.860	NUM
ajst-2096	102	14	0.000	0.000	NUM
ajst-2096	102	15	3	3	NUM
ajst-2096	102	16	0.123	0.123	NUM
ajst-2096	102	17	0.169	0.169	NUM
ajst-2096	102	18	23.561	23.561	NUM
ajst-2096	102	19	0.000	0.000	NUM
ajst-2096	102	20	4	4	NUM
ajst-2096	102	21	-0.102	-0.102	ADP
ajst-2096	102	22	-0.414	-0.414	PUNCT
ajst-2096	102	23	24.055	24.055	NUM
ajst-2096	102	24	0.000	0.000	NUM
ajst-2096	102	25	5	5	NUM
ajst-2096	102	26	-0.258	-0.258	ADP
ajst-2096	102	27	0.110	0.110	NUM
ajst-2096	102	28	27.308	27.308	NUM
ajst-2096	102	29	0.000	0.000	NUM
ajst-2096	102	30	table	table	NOUN
ajst-2096	102	31	5	5	NUM
ajst-2096	102	32	.	.	PUNCT
ajst-2096	102	33	results	result	NOUN
ajst-2096	102	34	of	of	ADP
ajst-2096	102	35	arma	arma	PROPN
ajst-2096	102	36	(	(	PUNCT
ajst-2096	102	37	1	1	NUM
ajst-2096	102	38	,	,	PUNCT
ajst-2096	102	39	3	3	X
ajst-2096	102	40	)	)	PUNCT
ajst-2096	102	41	model	model	NOUN
ajst-2096	102	42	variable	variable	ADJ
ajst-2096	102	43	coefficient	coefficient	PROPN
ajst-2096	102	44	std.error	std.error	PROPN
ajst-2096	102	45	t	t	PROPN
ajst-2096	102	46	-	-	PUNCT
ajst-2096	102	47	statisitic	statisitic	ADJ
ajst-2096	102	48	prob	prob	PROPN
ajst-2096	102	49	ar(1	ar(1	PROPN
ajst-2096	102	50	)	)	PUNCT
ajst-2096	103	1	0.6666	0.6666	NUM
ajst-2096	103	2	0.1175	0.1175	NUM
ajst-2096	103	3	5.6694	5.6694	NUM
ajst-2096	103	4	0.0000	0.0000	NUM
ajst-2096	103	5	ma(3	ma(3	NOUN
ajst-2096	103	6	)	)	PUNCT
ajst-2096	103	7	0.1140	0.1140	NUM
ajst-2096	103	8	0.1486	0.1486	NUM
ajst-2096	103	9	0.7672	0.7672	NUM
ajst-2096	103	10	0.4478	0.4478	NUM
ajst-2096	103	11	r	r	X
ajst-2096	103	12	-	-	PUNCT
ajst-2096	103	13	squared	square	VERB
ajst-2096	103	14	0.4665	0.4665	NUM
ajst-2096	103	15	mean	mean	NOUN
ajst-2096	103	16	dependentvar	dependentvar	NOUN
ajst-2096	103	17	0.1364	0.1364	NUM
ajst-2096	103	18	adjusted	adjust	VERB
ajst-2096	103	19	r	r	NOUN
ajst-2096	103	20	-	-	PUNCT
ajst-2096	103	21	squared	square	VERB
ajst-2096	103	22	0.4233	0.4233	NUM
ajst-2096	103	23	s.d.dependent	s.d.dependent	ADJ
ajst-2096	103	24	var	var	PROPN
ajst-2096	103	25	0.0593	0.0593	NUM
ajst-2096	103	26	table	table	NOUN
ajst-2096	103	27	6	6	NUM
ajst-2096	103	28	.	.	PUNCT
ajst-2096	103	29	results	result	NOUN
ajst-2096	103	30	of	of	ADP
ajst-2096	103	31	arma	arma	PROPN
ajst-2096	103	32	(	(	PUNCT
ajst-2096	103	33	1	1	NUM
ajst-2096	103	34	,	,	PUNCT
ajst-2096	103	35	2	2	X
ajst-2096	103	36	)	)	PUNCT
ajst-2096	103	37	model	model	NOUN
ajst-2096	103	38	variable	variable	ADJ
ajst-2096	103	39	coefficient	coefficient	PROPN
ajst-2096	103	40	std.error	std.error	PROPN
ajst-2096	103	41	t	t	PROPN
ajst-2096	103	42	-	-	PUNCT
ajst-2096	103	43	statisitic	statisitic	ADJ
ajst-2096	103	44	prob	prob	PROPN
ajst-2096	103	45	ar(1	ar(1	PROPN
ajst-2096	103	46	)	)	PUNCT
ajst-2096	103	47	0.8816	0.8816	NUM
ajst-2096	103	48	0.1127	0.1127	NUM
ajst-2096	103	49	7.1876	7.1876	NUM
ajst-2096	103	50	0.0000	0.0000	NUM
ajst-2096	103	51	ma(2	ma(2	NOUN
ajst-2096	103	52	)	)	PUNCT
ajst-2096	103	53	-0.6156	-0.6156	NOUN
ajst-2096	103	54	0.2415	0.2415	NUM
ajst-2096	103	55	-2.5487	-2.5487	PUNCT
ajst-2096	104	1	0.0151	0.0151	NUM
ajst-2096	104	2	r	r	X
ajst-2096	104	3	-	-	PUNCT
ajst-2096	104	4	squared	square	VERB
ajst-2096	104	5	0.5561	0.5561	NUM
ajst-2096	104	6	mean	mean	NOUN
ajst-2096	104	7	dependentvar	dependentvar	NOUN
ajst-2096	104	8	0.1363	0.1363	NUM
ajst-2096	104	9	adjusted	adjust	VERB
ajst-2096	104	10	r	r	NOUN
ajst-2096	104	11	-	-	PUNCT
ajst-2096	104	12	squared	square	VERB
ajst-2096	104	13	0.5202	0.5202	NUM
ajst-2096	104	14	s.d.dependent	s.d.dependent	ADJ
ajst-2096	104	15	var	var	PROPN
ajst-2096	104	16	0.0593	0.0593	NUM
ajst-2096	104	17	table	table	NOUN
ajst-2096	104	18	7	7	NUM
ajst-2096	104	19	.	.	PUNCT
ajst-2096	104	20	results	result	NOUN
ajst-2096	104	21	of	of	ADP
ajst-2096	104	22	arma	arma	PROPN
ajst-2096	104	23	(	(	PUNCT
ajst-2096	104	24	1,1	1,1	NUM
ajst-2096	104	25	)	)	PUNCT
ajst-2096	104	26	model	model	NOUN
ajst-2096	104	27	variable	variable	ADJ
ajst-2096	104	28	coefficient	coefficient	PROPN
ajst-2096	104	29	std.error	std.error	PROPN
ajst-2096	104	30	t	t	PROPN
ajst-2096	104	31	-	-	PUNCT
ajst-2096	104	32	statisitic	statisitic	ADJ
ajst-2096	104	33	prob	prob	PROPN
ajst-2096	104	34	ar(1	ar(1	PROPN
ajst-2096	104	35	)	)	PUNCT
ajst-2096	104	36	0.3806	0.3806	NUM
ajst-2096	104	37	0.1585	0.1585	NUM
ajst-2096	104	38	2.4022	2.4022	NUM
ajst-2096	104	39	0.0214	0.0214	NUM
ajst-2096	104	40	ma(1	ma(1	NOUN
ajst-2096	104	41	)	)	PUNCT
ajst-2096	104	42	0.7511	0.7511	NUM
ajst-2096	104	43	0.1548	0.1548	NUM
ajst-2096	104	44	4.8524	4.8524	NUM
ajst-2096	104	45	0.0000	0.0000	NUM
ajst-2096	104	46	r	r	X
ajst-2096	104	47	-	-	PUNCT
ajst-2096	104	48	squared	square	VERB
ajst-2096	104	49	0.6015	0.6015	NUM
ajst-2096	104	50	mean	mean	NOUN
ajst-2096	104	51	dependentvar	dependentvar	NOUN
ajst-2096	104	52	0.1364	0.1364	NUM
ajst-2096	104	53	adjusted	adjust	VERB
ajst-2096	104	54	r	r	NOUN
ajst-2096	104	55	-	-	PUNCT
ajst-2096	104	56	squared	square	VERB
ajst-2096	104	57	0.5692	0.5692	NUM
ajst-2096	104	58	s.d.dependent	s.d.dependent	ADJ
ajst-2096	104	59	var	var	PROPN
ajst-2096	104	60	0.0593	0.0593	NUM
ajst-2096	104	61	table	table	NOUN
ajst-2096	104	62	8	8	NUM
ajst-2096	104	63	.	.	PUNCT
ajst-2096	105	1	aic	aic	PROPN
ajst-2096	105	2	,	,	PUNCT
ajst-2096	105	3	sc	sc	PROPN
ajst-2096	105	4	and	and	CCONJ
ajst-2096	105	5	hq	hq	NOUN
ajst-2096	105	6	values	value	NOUN
ajst-2096	105	7	of	of	ADP
ajst-2096	105	8	three	three	NUM
ajst-2096	105	9	models	model	NOUN
ajst-2096	105	10	model	model	NOUN
ajst-2096	105	11	type	type	NOUN
ajst-2096	105	12	aic	aic	PROPN
ajst-2096	105	13	sc	sc	PROPN
ajst-2096	105	14	hq	hq	PROPN
ajst-2096	105	15	arma	arma	PROPN
ajst-2096	105	16	(	(	PUNCT
ajst-2096	105	17	1	1	NUM
ajst-2096	105	18	,	,	PUNCT
ajst-2096	105	19	3	3	NUM
ajst-2096	105	20	)	)	PUNCT
ajst-2096	105	21	-3.253667	-3.253667	NOUN
ajst-2096	105	22	-3.084690	-3.084690	NOUN
ajst-2096	105	23	-3.192790	-3.192790	PROPN
ajst-2096	105	24	arma	arma	PROPN
ajst-2096	105	25	(	(	PUNCT
ajst-2096	105	26	1	1	NUM
ajst-2096	105	27	,	,	PUNCT
ajst-2096	105	28	2	2	NUM
ajst-2096	105	29	)	)	PUNCT
ajst-2096	105	30	-3.426376	-3.426376	NOUN
ajst-2096	105	31	-3.259198	-3.259198	NOUN
ajst-2096	105	32	-3.365499	-3.365499	PROPN
ajst-2096	105	33	arma	arma	PROPN
ajst-2096	105	34	(	(	PUNCT
ajst-2096	105	35	1	1	NUM
ajst-2096	105	36	,	,	PUNCT
ajst-2096	105	37	1	1	NUM
ajst-2096	105	38	)	)	PUNCT
ajst-2096	105	39	-3.525932	-3.525932	VERB
ajst-2096	105	40	-3.358754	-3.358754	NOUN
ajst-2096	105	41	-3.465055	-3.465055	NOUN
ajst-2096	106	1	it	it	PRON
ajst-2096	106	2	can	can	AUX
ajst-2096	106	3	be	be	AUX
ajst-2096	106	4	seen	see	VERB
ajst-2096	106	5	from	from	ADP
ajst-2096	106	6	the	the	DET
ajst-2096	106	7	above	above	ADJ
ajst-2096	106	8	table	table	NOUN
ajst-2096	106	9	that	that	SCONJ
ajst-2096	106	10	the	the	DET
ajst-2096	106	11	coefficient	coefficient	NOUN
ajst-2096	106	12	t	t	PROPN
ajst-2096	106	13	statistics	statistic	NOUN
ajst-2096	106	14	of	of	ADP
ajst-2096	106	15	the	the	DET
ajst-2096	106	16	parameters	parameter	NOUN
ajst-2096	106	17	ar	ar	PROPN
ajst-2096	106	18	(	(	PUNCT
ajst-2096	106	19	1	1	NUM
ajst-2096	106	20	)	)	PUNCT
ajst-2096	106	21	and	and	CCONJ
ajst-2096	106	22	ma	ma	PROPN
ajst-2096	106	23	(	(	PUNCT
ajst-2096	106	24	1	1	NUM
ajst-2096	106	25	)	)	PUNCT
ajst-2096	106	26	in	in	ADP
ajst-2096	106	27	the	the	DET
ajst-2096	106	28	arma	arma	PROPN
ajst-2096	106	29	model	model	NOUN
ajst-2096	106	30	are	be	AUX
ajst-2096	106	31	very	very	ADV
ajst-2096	106	32	significant	significant	ADJ
ajst-2096	106	33	,	,	PUNCT
ajst-2096	106	34	and	and	CCONJ
ajst-2096	106	35	the	the	DET
ajst-2096	106	36	values	value	NOUN
ajst-2096	106	37	of	of	ADP
ajst-2096	106	38	aic	aic	PROPN
ajst-2096	106	39	,	,	PUNCT
ajst-2096	106	40	sc	sc	PROPN
ajst-2096	106	41	and	and	CCONJ
ajst-2096	106	42	hq	hq	PROPN
ajst-2096	106	43	obtained	obtain	VERB
ajst-2096	106	44	from	from	ADP
ajst-2096	106	45	the	the	DET
ajst-2096	106	46	table	table	NOUN
ajst-2096	106	47	are	be	AUX
ajst-2096	106	48	smaller	small	ADJ
ajst-2096	106	49	than	than	ADP
ajst-2096	106	50	those	those	PRON
ajst-2096	106	51	of	of	ADP
ajst-2096	106	52	the	the	DET
ajst-2096	106	53	other	other	ADJ
ajst-2096	106	54	two	two	NUM
ajst-2096	106	55	models	model	NOUN
ajst-2096	106	56	.	.	PUNCT
ajst-2096	107	1	therefore	therefore	ADV
ajst-2096	107	2	,	,	PUNCT
ajst-2096	107	3	arma	arma	PROPN
ajst-2096	107	4	(	(	PUNCT
ajst-2096	107	5	1	1	NUM
ajst-2096	107	6	,	,	PUNCT
ajst-2096	107	7	1	1	X
ajst-2096	107	8	)	)	PUNCT
ajst-2096	107	9	model	model	NOUN
ajst-2096	107	10	can	can	AUX
ajst-2096	107	11	be	be	AUX
ajst-2096	107	12	selected	select	VERB
ajst-2096	107	13	as	as	ADP
ajst-2096	107	14	the	the	DET
ajst-2096	107	15	optimal	optimal	ADJ
ajst-2096	107	16	model	model	NOUN
ajst-2096	107	17	.	.	PUNCT
ajst-2096	108	1	4.2	4.2	NUM
ajst-2096	108	2	.	.	PUNCT
ajst-2096	108	3	model	model	NOUN
ajst-2096	108	4	estimation	estimation	NOUN
ajst-2096	108	5	and	and	CCONJ
ajst-2096	108	6	test	test	NOUN
ajst-2096	108	7	according	accord	VERB
ajst-2096	108	8	to	to	ADP
ajst-2096	108	9	the	the	DET
ajst-2096	108	10	above	above	ADJ
ajst-2096	108	11	model	model	NOUN
ajst-2096	108	12	comparison	comparison	NOUN
ajst-2096	108	13	and	and	CCONJ
ajst-2096	108	14	analysis	analysis	NOUN
ajst-2096	108	15	,	,	PUNCT
ajst-2096	108	16	arima	arima	PROPN
ajst-2096	108	17	(	(	PUNCT
ajst-2096	108	18	1	1	NUM
ajst-2096	108	19	,	,	PUNCT
ajst-2096	108	20	1	1	NUM
ajst-2096	108	21	,	,	PUNCT
ajst-2096	108	22	1	1	NUM
ajst-2096	108	23	)	)	PUNCT
ajst-2096	108	24	is	be	AUX
ajst-2096	108	25	the	the	DET
ajst-2096	108	26	best	good	ADJ
ajst-2096	108	27	model	model	NOUN
ajst-2096	108	28	.	.	PUNCT
ajst-2096	109	1	the	the	DET
ajst-2096	109	2	parameters	parameter	NOUN
ajst-2096	109	3	are	be	AUX
ajst-2096	109	4	estimated	estimate	VERB
ajst-2096	109	5	by	by	ADP
ajst-2096	109	6	the	the	DET
ajst-2096	109	7	least	least	ADJ
ajst-2096	109	8	square	square	ADJ
ajst-2096	109	9	method	method	NOUN
ajst-2096	109	10	,	,	PUNCT
ajst-2096	109	11	as	as	SCONJ
ajst-2096	109	12	shown	show	VERB
ajst-2096	109	13	in	in	ADP
ajst-2096	109	14	table	table	NOUN
ajst-2096	109	15	7	7	NUM
ajst-2096	109	16	.	.	PUNCT
ajst-2096	109	17	from	from	ADP
ajst-2096	109	18	the	the	DET
ajst-2096	109	19	data	datum	NOUN
ajst-2096	109	20	in	in	ADP
ajst-2096	109	21	the	the	DET
ajst-2096	109	22	table	table	NOUN
ajst-2096	109	23	,	,	PUNCT
ajst-2096	109	24	on	on	ADP
ajst-2096	109	25	the	the	DET
ajst-2096	109	26	one	one	NUM
ajst-2096	109	27	hand	hand	NOUN
ajst-2096	109	28	,	,	PUNCT
ajst-2096	109	29	p	p	NOUN
ajst-2096	109	30	values	value	NOUN
ajst-2096	109	31	are	be	AUX
ajst-2096	109	32	less	less	ADJ
ajst-2096	109	33	than	than	ADP
ajst-2096	109	34	0.05	0.05	NUM
ajst-2096	109	35	,	,	PUNCT
ajst-2096	109	36	indicating	indicate	VERB
ajst-2096	109	37	that	that	SCONJ
ajst-2096	109	38	the	the	DET
ajst-2096	109	39	original	original	ADJ
ajst-2096	109	40	hypothesis	hypothesis	NOUN
ajst-2096	109	41	is	be	AUX
ajst-2096	109	42	rejected	reject	VERB
ajst-2096	109	43	at	at	ADP
ajst-2096	109	44	the	the	DET
ajst-2096	109	45	level	level	NOUN
ajst-2096	109	46	of	of	ADP
ajst-2096	109	47	5	5	NUM
ajst-2096	109	48	%	%	NOUN
ajst-2096	109	49	;	;	PUNCT
ajst-2096	109	50	on	on	ADP
ajst-2096	109	51	the	the	DET
ajst-2096	109	52	other	other	ADJ
ajst-2096	109	53	hand	hand	NOUN
ajst-2096	109	54	,	,	PUNCT
ajst-2096	109	55	the	the	DET
ajst-2096	109	56	adjusted	adjust	VERB
ajst-2096	109	57	decision	decision	NOUN
ajst-2096	109	58	82	82	NUM
ajst-2096	109	59	coefficient	coefficient	NOUN
ajst-2096	109	60	is	be	AUX
ajst-2096	109	61	0.5692	0.5692	NUM
ajst-2096	109	62	,	,	PUNCT
ajst-2096	109	63	which	which	PRON
ajst-2096	109	64	indicates	indicate	VERB
ajst-2096	109	65	that	that	SCONJ
ajst-2096	109	66	the	the	DET
ajst-2096	109	67	model	model	NOUN
ajst-2096	109	68	is	be	AUX
ajst-2096	109	69	well	well	ADV
ajst-2096	109	70	fitted	fit	VERB
ajst-2096	109	71	.	.	PUNCT
ajst-2096	110	1	it	it	PRON
ajst-2096	110	2	can	can	AUX
ajst-2096	110	3	be	be	AUX
ajst-2096	110	4	seen	see	VERB
ajst-2096	110	5	from	from	ADP
ajst-2096	110	6	the	the	DET
ajst-2096	110	7	residual	residual	ADJ
ajst-2096	110	8	sequence	sequence	NOUN
ajst-2096	110	9	in	in	ADP
ajst-2096	110	10	table	table	NOUN
ajst-2096	110	11	9	9	NUM
ajst-2096	110	12	that	that	SCONJ
ajst-2096	110	13	the	the	DET
ajst-2096	110	14	estimated	estimate	VERB
ajst-2096	110	15	residual	residual	ADJ
ajst-2096	110	16	sequence	sequence	NOUN
ajst-2096	110	17	is	be	AUX
ajst-2096	110	18	stationary	stationary	ADJ
ajst-2096	110	19	and	and	CCONJ
ajst-2096	110	20	white	white	ADJ
ajst-2096	110	21	noise	noise	NOUN
ajst-2096	110	22	sequence	sequence	NOUN
ajst-2096	110	23	,	,	PUNCT
ajst-2096	110	24	which	which	PRON
ajst-2096	110	25	means	mean	VERB
ajst-2096	110	26	that	that	SCONJ
ajst-2096	110	27	the	the	DET
ajst-2096	110	28	model	model	NOUN
ajst-2096	110	29	test	test	NOUN
ajst-2096	110	30	is	be	AUX
ajst-2096	110	31	passed	pass	VERB
ajst-2096	110	32	.	.	PUNCT
ajst-2096	111	1	table	table	NOUN
ajst-2096	111	2	9	9	NUM
ajst-2096	111	3	.	.	PUNCT
ajst-2096	111	4	residual	residual	ADJ
ajst-2096	111	5	sequence	sequence	NOUN
ajst-2096	112	1	ac	ac	PROPN
ajst-2096	112	2	pac	pac	PROPN
ajst-2096	112	3	q	q	ADJ
ajst-2096	112	4	-	-	PUNCT
ajst-2096	112	5	stat	stat	NOUN
ajst-2096	112	6	prob	prob	NOUN
ajst-2096	112	7	1	1	NUM
ajst-2096	112	8	0.018	0.018	NUM
ajst-2096	112	9	0.018	0.018	NUM
ajst-2096	112	10	0.0145	0.0145	NUM
ajst-2096	112	11	—	—	PUNCT
ajst-2096	112	12	—	—	PUNCT
ajst-2096	112	13	2	2	NUM
ajst-2096	112	14	-0.053	-0.053	NUM
ajst-2096	112	15	-0.053	-0.053	NUM
ajst-2096	112	16	0.1414	0.1414	NUM
ajst-2096	112	17	—	—	PUNCT
ajst-2096	112	18	—	—	PUNCT
ajst-2096	112	19	3	3	NUM
ajst-2096	112	20	0.157	0.157	NUM
ajst-2096	112	21	0.160	0.160	NUM
ajst-2096	112	22	1.2901	1.2901	NUM
ajst-2096	112	23	0.0256	0.0256	NUM
ajst-2096	112	24	4	4	NUM
ajst-2096	112	25	-0.018	-0.018	X
ajst-2096	113	1	-0.029	-0.029	PUNCT
ajst-2096	113	2	1.3053	1.3053	NUM
ajst-2096	113	3	0.521	0.521	NUM
ajst-2096	113	4	5	5	NUM
ajst-2096	113	5	-0.301	-0.301	PUNCT
ajst-2096	113	6	-0.291	-0.291	PROPN
ajst-2096	113	7	5.7417	5.7417	NUM
ajst-2096	113	8	0.125	0.125	NUM
ajst-2096	113	9	4.3	4.3	NUM
ajst-2096	113	10	.	.	PUNCT
ajst-2096	113	11	time	time	PROPN
ajst-2096	113	12	series	series	PROPN
ajst-2096	113	13	prediction	prediction	NOUN
ajst-2096	113	14	next	next	ADV
ajst-2096	113	15	,	,	PUNCT
ajst-2096	113	16	eviews	eviews	PROPN
ajst-2096	113	17	9.0	9.0	NUM
ajst-2096	113	18	measurement	measurement	NOUN
ajst-2096	113	19	software	software	NOUN
ajst-2096	113	20	will	will	AUX
ajst-2096	113	21	be	be	AUX
ajst-2096	113	22	used	use	VERB
ajst-2096	113	23	to	to	PART
ajst-2096	113	24	forecast	forecast	VERB
ajst-2096	113	25	the	the	DET
ajst-2096	113	26	national	national	PROPN
ajst-2096	113	27	gdp	gdp	NOUN
ajst-2096	113	28	in	in	ADP
ajst-2096	113	29	2020	2020	NUM
ajst-2096	113	30	and	and	CCONJ
ajst-2096	113	31	2021	2021	NUM
ajst-2096	113	32	.	.	PUNCT
ajst-2096	114	1	the	the	DET
ajst-2096	114	2	predicted	predict	VERB
ajst-2096	114	3	series	series	NOUN
ajst-2096	114	4	is	be	AUX
ajst-2096	114	5	named	name	VERB
ajst-2096	114	6	lngdpf	lngdpf	NOUN
ajst-2096	114	7	.	.	PUNCT
ajst-2096	115	1	open	open	ADJ
ajst-2096	115	2	lngdpf	lngdpf	NOUN
ajst-2096	115	3	and	and	CCONJ
ajst-2096	115	4	lngdp	lngdp	NOUN
ajst-2096	115	5	as	as	ADP
ajst-2096	115	6	an	an	DET
ajst-2096	115	7	array	array	NOUN
ajst-2096	115	8	and	and	CCONJ
ajst-2096	115	9	draw	draw	VERB
ajst-2096	115	10	the	the	DET
ajst-2096	115	11	corresponding	correspond	VERB
ajst-2096	115	12	image	image	NOUN
ajst-2096	115	13	.	.	PUNCT
ajst-2096	116	1	the	the	DET
ajst-2096	116	2	result	result	NOUN
ajst-2096	116	3	is	be	AUX
ajst-2096	116	4	shown	show	VERB
ajst-2096	116	5	in	in	ADP
ajst-2096	116	6	figure	figure	NOUN
ajst-2096	116	7	3	3	NUM
ajst-2096	116	8	.	.	PUNCT
ajst-2096	117	1	the	the	DET
ajst-2096	117	2	results	result	NOUN
ajst-2096	117	3	show	show	VERB
ajst-2096	117	4	that	that	SCONJ
ajst-2096	117	5	the	the	DET
ajst-2096	117	6	difference	difference	NOUN
ajst-2096	117	7	between	between	ADP
ajst-2096	117	8	the	the	DET
ajst-2096	117	9	predicted	predict	VERB
ajst-2096	117	10	and	and	CCONJ
ajst-2096	117	11	actual	actual	ADJ
ajst-2096	117	12	values	value	NOUN
ajst-2096	117	13	of	of	ADP
ajst-2096	117	14	lngdp	lngdp	NOUN
ajst-2096	117	15	in	in	ADP
ajst-2096	117	16	2020	2020	NUM
ajst-2096	117	17	and	and	CCONJ
ajst-2096	117	18	2021	2021	NUM
ajst-2096	117	19	is	be	AUX
ajst-2096	117	20	small	small	ADJ
ajst-2096	117	21	,	,	PUNCT
ajst-2096	117	22	indicating	indicate	VERB
ajst-2096	117	23	that	that	SCONJ
ajst-2096	117	24	the	the	DET
ajst-2096	117	25	predicted	predict	VERB
ajst-2096	117	26	results	result	NOUN
ajst-2096	117	27	are	be	AUX
ajst-2096	117	28	basically	basically	ADV
ajst-2096	117	29	in	in	ADP
ajst-2096	117	30	line	line	NOUN
ajst-2096	117	31	with	with	ADP
ajst-2096	117	32	the	the	DET
ajst-2096	117	33	actual	actual	ADJ
ajst-2096	117	34	situation	situation	NOUN
ajst-2096	117	35	.	.	PUNCT
ajst-2096	118	1	figure	figure	VERB
ajst-2096	118	2	3	3	NUM
ajst-2096	118	3	.	.	PUNCT
ajst-2096	118	4	image	image	NOUN
ajst-2096	118	5	of	of	ADP
ajst-2096	118	6	lngdpf	lngdpf	NOUN
ajst-2096	118	7	and	and	CCONJ
ajst-2096	118	8	lngdp	lngdp	NOUN
ajst-2096	118	9	next	next	ADV
ajst-2096	118	10	,	,	PUNCT
ajst-2096	118	11	eviews	eviews	PROPN
ajst-2096	118	12	software	software	NOUN
ajst-2096	118	13	is	be	AUX
ajst-2096	118	14	used	use	VERB
ajst-2096	118	15	to	to	PART
ajst-2096	118	16	convert	convert	VERB
ajst-2096	118	17	lngdp	lngdp	NOUN
ajst-2096	118	18	into	into	ADP
ajst-2096	118	19	gdp	gdp	NOUN
ajst-2096	118	20	,	,	PUNCT
ajst-2096	118	21	and	and	CCONJ
ajst-2096	118	22	the	the	DET
ajst-2096	118	23	actual	actual	ADJ
ajst-2096	118	24	value	value	NOUN
ajst-2096	118	25	in	in	ADP
ajst-2096	118	26	2020	2020	NUM
ajst-2096	118	27	and	and	CCONJ
ajst-2096	118	28	2021	2021	NUM
ajst-2096	118	29	is	be	AUX
ajst-2096	118	30	further	far	ADV
ajst-2096	118	31	compared	compare	VERB
ajst-2096	118	32	with	with	ADP
ajst-2096	118	33	the	the	DET
ajst-2096	118	34	predicted	predict	VERB
ajst-2096	118	35	value	value	NOUN
ajst-2096	118	36	.	.	PUNCT
ajst-2096	119	1	the	the	DET
ajst-2096	119	2	results	result	NOUN
ajst-2096	119	3	are	be	AUX
ajst-2096	119	4	shown	show	VERB
ajst-2096	119	5	in	in	ADP
ajst-2096	119	6	table	table	NOUN
ajst-2096	119	7	10	10	NUM
ajst-2096	119	8	.	.	PUNCT
ajst-2096	120	1	the	the	DET
ajst-2096	120	2	results	result	NOUN
ajst-2096	120	3	show	show	VERB
ajst-2096	120	4	that	that	SCONJ
ajst-2096	120	5	there	there	PRON
ajst-2096	120	6	is	be	VERB
ajst-2096	120	7	little	little	ADJ
ajst-2096	120	8	difference	difference	NOUN
ajst-2096	120	9	between	between	ADP
ajst-2096	120	10	the	the	DET
ajst-2096	120	11	actual	actual	ADJ
ajst-2096	120	12	value	value	NOUN
ajst-2096	120	13	and	and	CCONJ
ajst-2096	120	14	the	the	DET
ajst-2096	120	15	predicted	predict	VERB
ajst-2096	120	16	value	value	NOUN
ajst-2096	120	17	,	,	PUNCT
ajst-2096	120	18	which	which	PRON
ajst-2096	120	19	is	be	AUX
ajst-2096	120	20	basically	basically	ADV
ajst-2096	120	21	in	in	ADP
ajst-2096	120	22	line	line	NOUN
ajst-2096	120	23	with	with	ADP
ajst-2096	120	24	expectations	expectation	NOUN
ajst-2096	120	25	.	.	PUNCT
ajst-2096	121	1	table	table	NOUN
ajst-2096	121	2	10	10	NUM
ajst-2096	121	3	.	.	PUNCT
ajst-2096	122	1	real	real	ADJ
ajst-2096	122	2	and	and	CCONJ
ajst-2096	122	3	forecast	forecast	VERB
ajst-2096	122	4	gdp	gdp	NOUN
ajst-2096	122	5	in	in	ADP
ajst-2096	122	6	2020	2020	NUM
ajst-2096	122	7	and	and	CCONJ
ajst-2096	122	8	2021	2021	NUM
ajst-2096	122	9	year	year	NOUN
ajst-2096	122	10	real	real	ADJ
ajst-2096	122	11	gdp	gdp	NOUN
ajst-2096	122	12	(	(	PUNCT
ajst-2096	122	13	100	100	NUM
ajst-2096	122	14	million	million	NUM
ajst-2096	122	15	yuan	yuan	NOUN
ajst-2096	122	16	)	)	PUNCT
ajst-2096	122	17	estimated	estimate	VERB
ajst-2096	122	18	gdp	gdp	NOUN
ajst-2096	122	19	(	(	PUNCT
ajst-2096	122	20	100	100	NUM
ajst-2096	122	21	million	million	NUM
ajst-2096	122	22	yuan	yuan	NOUN
ajst-2096	122	23	)	)	PUNCT
ajst-2096	122	24	2020	2020	NUM
ajst-2096	122	25	1013576	1013576	NUM
ajst-2096	122	26	1076224	1076224	NUM
ajst-2096	122	27	2021	2021	NUM
ajst-2096	122	28	1143669.7	1143669.7	NUM
ajst-2096	122	29	1063174.7	1063174.7	NUM
ajst-2096	122	30	5	5	NUM
ajst-2096	122	31	.	.	PUNCT
ajst-2096	123	1	conclusion	conclusion	NOUN
ajst-2096	123	2	this	this	DET
ajst-2096	123	3	paper	paper	NOUN
ajst-2096	123	4	selects	select	VERB
ajst-2096	123	5	the	the	DET
ajst-2096	123	6	gdp	gdp	NOUN
ajst-2096	123	7	data	datum	NOUN
ajst-2096	123	8	from	from	ADP
ajst-2096	123	9	1978	1978	NUM
ajst-2096	123	10	to	to	ADP
ajst-2096	123	11	2019	2019	NUM
ajst-2096	123	12	,	,	PUNCT
ajst-2096	123	13	makes	make	VERB
ajst-2096	123	14	a	a	DET
ajst-2096	123	15	first	first	ADJ
ajst-2096	123	16	-	-	PUNCT
ajst-2096	123	17	order	order	NOUN
ajst-2096	123	18	difference	difference	NOUN
ajst-2096	123	19	on	on	ADP
ajst-2096	123	20	the	the	DET
ajst-2096	123	21	lngdp	lngdp	NOUN
ajst-2096	123	22	series	series	NOUN
ajst-2096	123	23	and	and	CCONJ
ajst-2096	123	24	simulates	simulate	VERB
ajst-2096	123	25	the	the	DET
ajst-2096	123	26	corresponding	correspond	VERB
ajst-2096	123	27	model	model	NOUN
ajst-2096	123	28	.	.	PUNCT
ajst-2096	124	1	at	at	ADP
ajst-2096	124	2	the	the	DET
ajst-2096	124	3	same	same	ADJ
ajst-2096	124	4	time	time	NOUN
ajst-2096	124	5	,	,	PUNCT
ajst-2096	124	6	it	it	PRON
ajst-2096	124	7	forecasts	forecast	VERB
ajst-2096	124	8	the	the	DET
ajst-2096	124	9	gdp	gdp	NOUN
ajst-2096	124	10	in	in	ADP
ajst-2096	124	11	2020	2020	NUM
ajst-2096	124	12	and	and	CCONJ
ajst-2096	124	13	2021	2021	NUM
ajst-2096	124	14	through	through	ADP
ajst-2096	124	15	arima	arima	PROPN
ajst-2096	124	16	model	model	NOUN
ajst-2096	124	17	and	and	CCONJ
ajst-2096	124	18	obtains	obtain	VERB
ajst-2096	124	19	the	the	DET
ajst-2096	124	20	final	final	ADJ
ajst-2096	124	21	results	result	NOUN
ajst-2096	124	22	.	.	PUNCT
ajst-2096	125	1	the	the	DET
ajst-2096	125	2	goodness	goodness	NOUN
ajst-2096	125	3	of	of	ADP
ajst-2096	125	4	fit	fit	NOUN
ajst-2096	125	5	of	of	ADP
ajst-2096	125	6	the	the	DET
ajst-2096	125	7	model	model	NOUN
ajst-2096	125	8	shows	show	VERB
ajst-2096	125	9	that	that	SCONJ
ajst-2096	125	10	the	the	DET
ajst-2096	125	11	model	model	NOUN
ajst-2096	125	12	used	use	VERB
ajst-2096	125	13	this	this	DET
ajst-2096	125	14	time	time	NOUN
ajst-2096	125	15	has	have	VERB
ajst-2096	125	16	a	a	DET
ajst-2096	125	17	high	high	ADJ
ajst-2096	125	18	degree	degree	NOUN
ajst-2096	125	19	of	of	ADP
ajst-2096	125	20	fit	fit	NOUN
ajst-2096	125	21	.	.	PUNCT
ajst-2096	126	1	comparing	compare	VERB
ajst-2096	126	2	the	the	DET
ajst-2096	126	3	predicted	predict	VERB
ajst-2096	126	4	data	datum	NOUN
ajst-2096	126	5	with	with	ADP
ajst-2096	126	6	the	the	DET
ajst-2096	126	7	actual	actual	ADJ
ajst-2096	126	8	data	datum	NOUN
ajst-2096	126	9	,	,	PUNCT
ajst-2096	126	10	the	the	DET
ajst-2096	126	11	difference	difference	NOUN
ajst-2096	126	12	is	be	AUX
ajst-2096	126	13	small	small	ADJ
ajst-2096	126	14	,	,	PUNCT
ajst-2096	126	15	which	which	PRON
ajst-2096	126	16	means	mean	VERB
ajst-2096	126	17	that	that	SCONJ
ajst-2096	126	18	the	the	DET
ajst-2096	126	19	model	model	NOUN
ajst-2096	126	20	used	use	VERB
ajst-2096	126	21	this	this	DET
ajst-2096	126	22	time	time	NOUN
ajst-2096	126	23	has	have	VERB
ajst-2096	126	24	a	a	DET
ajst-2096	126	25	good	good	ADJ
ajst-2096	126	26	effect	effect	NOUN
ajst-2096	126	27	on	on	ADP
ajst-2096	126	28	short	short	ADJ
ajst-2096	126	29	-	-	PUNCT
ajst-2096	126	30	term	term	NOUN
ajst-2096	126	31	prediction	prediction	NOUN
ajst-2096	126	32	.	.	PUNCT
ajst-2096	127	1	references	reference	NOUN
ajst-2096	127	2	[	[	X
ajst-2096	127	3	1	1	NUM
ajst-2096	127	4	]	]	X
ajst-2096	127	5	huang	huang	PROPN
ajst-2096	127	6	bing	bing	PROPN
ajst-2096	127	7	,	,	PUNCT
ajst-2096	127	8	li	li	PROPN
ajst-2096	127	9	wei	wei	PROPN
ajst-2096	127	10	.	.	PUNCT
ajst-2096	127	11	analysis	analysis	NOUN
ajst-2096	127	12	and	and	CCONJ
ajst-2096	127	13	prediction	prediction	NOUN
ajst-2096	127	14	of	of	ADP
ajst-2096	127	15	residents	resident	NOUN
ajst-2096	127	16	'	'	PART
ajst-2096	127	17	consumption	consumption	NOUN
ajst-2096	127	18	level	level	NOUN
ajst-2096	127	19	based	base	VERB
ajst-2096	127	20	on	on	ADP
ajst-2096	127	21	arma	arma	PROPN
ajst-2096	127	22	model	model	NOUN
ajst-2096	127	23	-taking	-taking	PROPN
ajst-2096	127	24	hunan	hunan	PROPN
ajst-2096	127	25	province	province	NOUN
ajst-2096	127	26	as	as	ADP
ajst-2096	127	27	an	an	DET
ajst-2096	127	28	example	example	NOUN
ajst-2096	128	1	[	[	X
ajst-2096	128	2	j	j	X
ajst-2096	128	3	]	]	X
ajst-2096	128	4	.	.	PUNCT
ajst-2096	129	1	marketing	marketing	NOUN
ajst-2096	129	2	circle	circle	NOUN
ajst-2096	129	3	,	,	PUNCT
ajst-2096	129	4	2019	2019	NUM
ajst-2096	129	5	(	(	PUNCT
ajst-2096	129	6	46	46	NUM
ajst-2096	129	7	):	):	PUNCT
ajst-2096	129	8	157158	157158	NUM
ajst-2096	129	9	.	.	PUNCT
ajst-2096	130	1	[	[	X
ajst-2096	130	2	2	2	NUM
ajst-2096	130	3	]	]	X
ajst-2096	130	4	wang	wang	PROPN
ajst-2096	130	5	shengqing	shengqing	PROPN
ajst-2096	130	6	.	.	PUNCT
ajst-2096	131	1	analysis	analysis	NOUN
ajst-2096	131	2	and	and	CCONJ
ajst-2096	131	3	forecast	forecast	NOUN
ajst-2096	131	4	of	of	ADP
ajst-2096	131	5	e	e	PROPN
ajst-2096	131	6	-	-	NOUN
ajst-2096	131	7	commerce	commerce	NOUN
ajst-2096	131	8	sales	sale	NOUN
ajst-2096	131	9	of	of	ADP
ajst-2096	131	10	agricultural	agricultural	ADJ
ajst-2096	131	11	products	product	NOUN
ajst-2096	131	12	based	base	VERB
ajst-2096	131	13	on	on	ADP
ajst-2096	131	14	arma	arma	PROPN
ajst-2096	131	15	model	model	PROPN
ajst-2096	131	16	eviews8.0	eviews8.0	PROPN
ajst-2096	131	17	demonstration	demonstration	NOUN
ajst-2096	131	18	from	from	ADP
ajst-2096	131	19	longnan	longnan	ADJ
ajst-2096	131	20	data	datum	NOUN
ajst-2096	132	1	[	[	X
ajst-2096	132	2	j	j	X
ajst-2096	132	3	]	]	X
ajst-2096	132	4	.	.	PUNCT
ajst-2096	133	1	journal	journal	PROPN
ajst-2096	133	2	of	of	ADP
ajst-2096	133	3	gansu	gansu	PROPN
ajst-2096	133	4	normal	normal	PROPN
ajst-2096	133	5	university	university	NOUN
ajst-2096	133	6	,	,	PUNCT
ajst-2096	133	7	2017	2017	NUM
ajst-2096	133	8	,	,	PUNCT
ajst-2096	133	9	22	22	NUM
ajst-2096	133	10	(	(	PUNCT
ajst-2096	133	11	09	09	NUM
ajst-2096	133	12	):	):	PUNCT
ajst-2096	133	13	24	24	NUM
ajst-2096	133	14	-	-	SYM
ajst-2096	133	15	28	28	NUM
ajst-2096	133	16	.	.	PUNCT
ajst-2096	134	1	[	[	X
ajst-2096	134	2	3	3	X
ajst-2096	134	3	]	]	X
ajst-2096	134	4	wang	wang	PROPN
ajst-2096	134	5	e	e	PROPN
ajst-2096	134	6	,	,	PUNCT
ajst-2096	134	7	zhang	zhang	PROPN
ajst-2096	134	8	ting	ting	PROPN
ajst-2096	134	9	.	.	PUNCT
ajst-2096	135	1	application	application	NOUN
ajst-2096	135	2	of	of	ADP
ajst-2096	135	3	time	time	NOUN
ajst-2096	135	4	series	series	PROPN
ajst-2096	135	5	in	in	ADP
ajst-2096	135	6	gdp	gdp	PROPN
ajst-2096	135	7	forecast	forecast	PROPN
ajst-2096	135	8	of	of	ADP
ajst-2096	135	9	hunan	hunan	PROPN
ajst-2096	135	10	province	province	PROPN
ajst-2096	135	11	-based	-base	VERB
ajst-2096	135	12	on	on	ADP
ajst-2096	135	13	arima	arima	PROPN
ajst-2096	135	14	model	model	NOUN
ajst-2096	136	1	[	[	X
ajst-2096	136	2	j	j	X
ajst-2096	136	3	]	]	X
ajst-2096	136	4	.	.	PUNCT
ajst-2096	137	1	journal	journal	PROPN
ajst-2096	137	2	of	of	ADP
ajst-2096	137	3	qingdao	qingdao	PROPN
ajst-2096	137	4	university	university	PROPN
ajst-2096	137	5	(	(	PUNCT
ajst-2096	137	6	natural	natural	ADJ
ajst-2096	137	7	science	science	NOUN
ajst-2096	137	8	edition	edition	NOUN
ajst-2096	137	9	)	)	PUNCT
ajst-2096	137	10	,	,	PUNCT
ajst-2096	137	11	2019	2019	NUM
ajst-2096	137	12	,	,	PUNCT
ajst-2096	137	13	32	32	NUM
ajst-2096	137	14	(	(	PUNCT
ajst-2096	137	15	03	03	NUM
ajst-2096	137	16	):	):	PUNCT
ajst-2096	137	17	136	136	NUM
ajst-2096	137	18	-	-	SYM
ajst-2096	137	19	140	140	NUM
ajst-2096	137	20	.	.	PUNCT
ajst-2096	138	1	[	[	X
ajst-2096	138	2	4	4	NUM
ajst-2096	138	3	]	]	X
ajst-2096	138	4	tang	tang	PROPN
ajst-2096	138	5	jieru	jieru	PROPN
ajst-2096	138	6	,	,	PUNCT
ajst-2096	138	7	zhu	zhu	PROPN
ajst-2096	138	8	xiaxia	xiaxia	PROPN
ajst-2096	138	9	,	,	PUNCT
ajst-2096	138	10	zhou	zhou	PROPN
ajst-2096	138	11	lijian	lijian	PROPN
ajst-2096	138	12	.	.	PUNCT
ajst-2096	139	1	prediction	prediction	NOUN
ajst-2096	139	2	and	and	CCONJ
ajst-2096	139	3	research	research	NOUN
ajst-2096	139	4	of	of	ADP
ajst-2096	139	5	population	population	NOUN
ajst-2096	139	6	structure	structure	NOUN
ajst-2096	139	7	based	base	VERB
ajst-2096	139	8	on	on	ADP
ajst-2096	139	9	time	time	NOUN
ajst-2096	139	10	series	series	NOUN
ajst-2096	140	1	[	[	X
ajst-2096	140	2	j	j	X
ajst-2096	140	3	]	]	X
ajst-2096	140	4	.	.	PUNCT
ajst-2096	141	1	journal	journal	PROPN
ajst-2096	141	2	of	of	ADP
ajst-2096	141	3	jiamusi	jiamusi	PROPN
ajst-2096	141	4	university	university	PROPN
ajst-2096	141	5	(	(	PUNCT
ajst-2096	141	6	natural	natural	ADJ
ajst-2096	141	7	science	science	NOUN
ajst-2096	141	8	edition	edition	NOUN
ajst-2096	141	9	)	)	PUNCT
ajst-2096	141	10	,	,	PUNCT
ajst-2096	141	11	2017	2017	NUM
ajst-2096	141	12	,	,	PUNCT
ajst-2096	141	13	35	35	NUM
ajst-2096	141	14	(	(	PUNCT
ajst-2096	141	15	04	04	NUM
ajst-2096	141	16	):	):	PUNCT
ajst-2096	141	17	696	696	NUM
ajst-2096	141	18	-	-	SYM
ajst-2096	141	19	699	699	NUM
ajst-2096	141	20	.	.	PUNCT
ajst-2096	142	1	[	[	X
ajst-2096	142	2	5	5	X
ajst-2096	142	3	]	]	X
ajst-2096	142	4	hao	hao	PROPN
ajst-2096	142	5	yuxing	yuxing	PROPN
ajst-2096	142	6	.	.	PUNCT
ajst-2096	143	1	empirical	empirical	ADJ
ajst-2096	143	2	research	research	NOUN
ajst-2096	143	3	on	on	ADP
ajst-2096	143	4	financial	financial	ADJ
ajst-2096	143	5	support	support	NOUN
ajst-2096	143	6	to	to	ADP
ajst-2096	143	7	the	the	DET
ajst-2096	143	8	development	development	NOUN
ajst-2096	143	9	of	of	ADP
ajst-2096	143	10	cultural	cultural	ADJ
ajst-2096	143	11	industry	industry	NOUN
ajst-2096	143	12	-time	-time	PROPN
ajst-2096	143	13	series	series	NOUN
ajst-2096	143	14	data	data	VERB
ajst-2096	143	15	analysis	analysis	NOUN
ajst-2096	143	16	based	base	VERB
ajst-2096	143	17	on	on	ADP
ajst-2096	143	18	beijing	beijing	PROPN
ajst-2096	144	1	[	[	X
ajst-2096	144	2	j	j	X
ajst-2096	144	3	]	]	X
ajst-2096	144	4	.	.	PUNCT
ajst-2096	145	1	business	business	NOUN
ajst-2096	145	2	news	news	PROPN
ajst-2096	145	3	,	,	PUNCT
ajst-2096	145	4	2021	2021	NUM
ajst-2096	145	5	(	(	PUNCT
ajst-2096	145	6	15	15	NUM
ajst-2096	145	7	):	):	PUNCT
ajst-2096	145	8	87	87	NUM
ajst-2096	145	9	-	-	SYM
ajst-2096	145	10	88	88	NUM
ajst-2096	145	11	.	.	PUNCT
ajst-2096	145	12	83	83	NUM
ajst-2096	146	1	[	[	SYM
ajst-2096	146	2	6	6	NUM
ajst-2096	146	3	]	]	X
ajst-2096	146	4	qu	qu	X
ajst-2096	146	5	haiqing	haiqe	VERB
ajst-2096	146	6	,	,	PUNCT
ajst-2096	146	7	he	he	PRON
ajst-2096	146	8	xianping	xianping	VERB
ajst-2096	146	9	.	.	PUNCT
ajst-2096	147	1	research	research	NOUN
ajst-2096	147	2	on	on	ADP
ajst-2096	147	3	hubei	hubei	PROPN
ajst-2096	147	4	gdp	gdp	PROPN
ajst-2096	147	5	forecast	forecast	PROPN
ajst-2096	147	6	model	model	NOUN
ajst-2096	147	7	based	base	VERB
ajst-2096	147	8	on	on	ADP
ajst-2096	147	9	time	time	NOUN
ajst-2096	147	10	series	series	NOUN
ajst-2096	147	11	analysis	analysis	NOUN
ajst-2096	147	12	[	[	X
ajst-2096	147	13	j	j	X
ajst-2096	147	14	]	]	X
ajst-2096	147	15	.	.	PUNCT
ajst-2096	148	1	journal	journal	PROPN
ajst-2096	148	2	of	of	ADP
ajst-2096	148	3	hubei	hubei	PROPN
ajst-2096	148	4	university	university	PROPN
ajst-2096	148	5	of	of	ADP
ajst-2096	148	6	economics	economic	NOUN
ajst-2096	148	7	(	(	PUNCT
ajst-2096	148	8	humanities	humanity	NOUN
ajst-2096	148	9	and	and	CCONJ
ajst-2096	148	10	social	social	ADJ
ajst-2096	148	11	sciences	sciences	PROPN
ajst-2096	148	12	edition	edition	NOUN
ajst-2096	148	13	)	)	PUNCT
ajst-2096	148	14	,	,	PUNCT
ajst-2096	148	15	2021,18	2021,18	NUM
ajst-2096	148	16	(	(	PUNCT
ajst-2096	148	17	09	09	NUM
ajst-2096	148	18	):	):	PUNCT
ajst-2096	148	19	37	37	NUM
ajst-2096	148	20	-	-	SYM
ajst-2096	148	21	39	39	NUM
ajst-2096	148	22	.	.	PUNCT
ajst-2096	149	1	[	[	X
ajst-2096	149	2	7	7	NUM
ajst-2096	149	3	]	]	X
ajst-2096	149	4	wu	wu	PROPN
ajst-2096	149	5	boni	boni	PROPN
ajst-2096	149	6	.	.	PUNCT
ajst-2096	150	1	gdp	gdp	NOUN
ajst-2096	150	2	forecast	forecast	PROPN
ajst-2096	150	3	of	of	ADP
ajst-2096	150	4	hangzhou	hangzhou	PROPN
ajst-2096	150	5	city	city	PROPN
ajst-2096	150	6	based	base	VERB
ajst-2096	150	7	on	on	ADP
ajst-2096	150	8	time	time	NOUN
ajst-2096	150	9	series	series	PROPN
ajst-2096	150	10	model	model	NOUN
ajst-2096	151	1	[	[	X
ajst-2096	151	2	j	j	X
ajst-2096	151	3	]	]	X
ajst-2096	151	4	.	.	PUNCT
ajst-2096	152	1	enterprise	enterprise	NOUN
ajst-2096	152	2	reform	reform	NOUN
ajst-2096	152	3	and	and	CCONJ
ajst-2096	152	4	management	management	NOUN
ajst-2096	152	5	,	,	PUNCT
ajst-2096	152	6	2019	2019	NUM
ajst-2096	152	7	(	(	PUNCT
ajst-2096	152	8	23	23	NUM
ajst-2096	152	9	):	):	PUNCT
ajst-2096	152	10	212	212	NUM
ajst-2096	152	11	-	-	SYM
ajst-2096	152	12	213	213	NUM
ajst-2096	152	13	.	.	PUNCT
ajst-2096	153	1	[	[	X
ajst-2096	153	2	8	8	NUM
ajst-2096	153	3	]	]	PUNCT
ajst-2096	153	4	guzarati	guzarati	NOUN
ajst-2096	153	5	.	.	PUNCT
ajst-2096	154	1	fundamentals	fundamental	NOUN
ajst-2096	154	2	of	of	ADP
ajst-2096	154	3	econometrics	econometric	NOUN
ajst-2096	154	4	[	[	X
ajst-2096	154	5	m	m	X
ajst-2096	154	6	]	]	X
ajst-2096	154	7	.	.	PUNCT
ajst-2096	155	1	beijing	beijing	PROPN
ajst-2096	155	2	:	:	PUNCT
ajst-2096	156	1	china	china	PROPN
ajst-2096	156	2	renmin	renmin	PROPN
ajst-2096	156	3	university	university	PROPN
ajst-2096	156	4	press	press	NOUN
ajst-2096	156	5	,	,	PUNCT
ajst-2096	156	6	2006	2006	NUM
ajst-2096	156	7	.	.	PUNCT