id	sid	tid	token	lemma	pos
dem-1057	1	1	microsoft	microsoft	PROPN
dem-1057	1	2	word	word	NOUN
dem-1057	1	3	01_szulc_e.docx	01_szulc_e.docx	NUM
dem-1057	1	4	dynamic	dynamic	ADJ
dem-1057	1	5	econometric	econometric	ADJ
dem-1057	1	6	models	model	NOUN
dem-1057	1	7	vol	vol	NOUN
dem-1057	1	8	.	.	PROPN
dem-1057	1	9	11	11	NUM
dem-1057	1	10	–	–	PUNCT
dem-1057	1	11	nicolaus	nicolaus	PROPN
dem-1057	1	12	copernicus	copernicus	PROPN
dem-1057	1	13	university	university	PROPN
dem-1057	1	14	–	–	PUNCT
dem-1057	1	15	toruń	toruń	NOUN
dem-1057	1	16	–	–	PUNCT
dem-1057	1	17	2011	2011	NUM
dem-1057	1	18	elżbieta	elżbieta	PROPN
dem-1057	1	19	szulc	szulc	PROPN
dem-1057	1	20	nicolaus	nicolaus	PROPN
dem-1057	1	21	copernicus	copernicus	PROPN
dem-1057	1	22	university	university	PROPN
dem-1057	1	23	in	in	ADP
dem-1057	1	24	toruń	toruń	NOUN
dem-1057	1	25	identification	identification	NOUN
dem-1057	1	26	of	of	ADP
dem-1057	1	27	the	the	DET
dem-1057	1	28	structures	structure	NOUN
dem-1057	1	29	of	of	ADP
dem-1057	1	30	spatial	spatial	ADJ
dem-1057	1	31	and	and	CCONJ
dem-1057	1	32	spatiotemporal	spatiotemporal	ADJ
dem-1057	1	33	processes	process	NOUN
dem-1057	1	34	and	and	CCONJ
dem-1057	1	35	a	a	DET
dem-1057	1	36	problem	problem	NOUN
dem-1057	1	37	of	of	ADP
dem-1057	1	38	data	datum	NOUN
dem-1057	1	39	aggregation	aggregation	NOUN
dem-1057	1	40	a	a	DET
dem-1057	1	41	b	b	PROPN
dem-1057	1	42	s	s	ADP
dem-1057	1	43	t	t	PROPN
dem-1057	1	44	r	r	NOUN
dem-1057	1	45	a	a	DET
dem-1057	1	46	c	c	NOUN
dem-1057	1	47	t.	t.	NOUN
dem-1057	1	48	the	the	DET
dem-1057	1	49	paper	paper	NOUN
dem-1057	1	50	concerns	concern	VERB
dem-1057	1	51	the	the	DET
dem-1057	1	52	measurement	measurement	NOUN
dem-1057	1	53	of	of	ADP
dem-1057	1	54	the	the	DET
dem-1057	1	55	dependence	dependence	NOUN
dem-1057	1	56	between	between	ADP
dem-1057	1	57	economic	economic	ADJ
dem-1057	1	58	spatial	spatial	NOUN
dem-1057	1	59	and	and	CCONJ
dem-1057	1	60	also	also	ADV
dem-1057	1	61	spatio	spatio	ADJ
dem-1057	1	62	-	-	PUNCT
dem-1057	1	63	temporal	temporal	ADJ
dem-1057	1	64	processes	process	NOUN
dem-1057	1	65	at	at	ADP
dem-1057	1	66	various	various	ADJ
dem-1057	1	67	levels	level	NOUN
dem-1057	1	68	of	of	ADP
dem-1057	1	69	data	datum	NOUN
dem-1057	1	70	aggregation	aggregation	NOUN
dem-1057	1	71	.	.	PUNCT
dem-1057	2	1	the	the	DET
dem-1057	2	2	considerations	consideration	NOUN
dem-1057	2	3	refer	refer	VERB
dem-1057	2	4	to	to	ADP
dem-1057	2	5	the	the	DET
dem-1057	2	6	investigations	investigation	NOUN
dem-1057	2	7	confirming	confirm	VERB
dem-1057	2	8	efficiency	efficiency	NOUN
dem-1057	2	9	of	of	ADP
dem-1057	2	10	the	the	DET
dem-1057	2	11	so	so	ADV
dem-1057	2	12	-	-	PUNCT
dem-1057	2	13	called	call	VERB
dem-1057	2	14	quasi	quasi	ADJ
dem-1057	2	15	-	-	ADJ
dem-1057	2	16	congruent	congruent	ADJ
dem-1057	2	17	spatial	spatial	ADJ
dem-1057	2	18	model	model	NOUN
dem-1057	2	19	as	as	ADP
dem-1057	2	20	a	a	DET
dem-1057	2	21	tool	tool	NOUN
dem-1057	2	22	of	of	ADP
dem-1057	2	23	the	the	DET
dem-1057	2	24	measurement	measurement	NOUN
dem-1057	2	25	of	of	ADP
dem-1057	2	26	the	the	DET
dem-1057	2	27	dependence	dependence	NOUN
dem-1057	2	28	between	between	ADP
dem-1057	2	29	economic	economic	ADJ
dem-1057	2	30	processes	process	NOUN
dem-1057	2	31	.	.	PUNCT
dem-1057	3	1	the	the	DET
dem-1057	3	2	main	main	ADJ
dem-1057	3	3	problem	problem	NOUN
dem-1057	3	4	of	of	ADP
dem-1057	3	5	the	the	DET
dem-1057	3	6	paper	paper	NOUN
dem-1057	3	7	is	be	AUX
dem-1057	3	8	to	to	PART
dem-1057	3	9	discuss	discuss	VERB
dem-1057	3	10	such	such	DET
dem-1057	3	11	a	a	DET
dem-1057	3	12	description	description	NOUN
dem-1057	3	13	of	of	ADP
dem-1057	3	14	the	the	DET
dem-1057	3	15	spatial	spatial	ADJ
dem-1057	3	16	and	and	CCONJ
dem-1057	3	17	spatio	spatio	ADJ
dem-1057	3	18	-	-	PUNCT
dem-1057	3	19	temporal	temporal	ADJ
dem-1057	3	20	connections	connection	NOUN
dem-1057	3	21	,	,	PUNCT
dem-1057	3	22	which	which	PRON
dem-1057	3	23	would	would	AUX
dem-1057	3	24	be	be	AUX
dem-1057	3	25	adequate	adequate	ADJ
dem-1057	3	26	to	to	PART
dem-1057	3	27	express	express	VERB
dem-1057	3	28	the	the	DET
dem-1057	3	29	autodependence	autodependence	NOUN
dem-1057	3	30	of	of	ADP
dem-1057	3	31	the	the	DET
dem-1057	3	32	investigated	investigate	VERB
dem-1057	3	33	processes	process	NOUN
dem-1057	3	34	.	.	PUNCT
dem-1057	4	1	the	the	DET
dem-1057	4	2	application	application	NOUN
dem-1057	4	3	of	of	ADP
dem-1057	4	4	the	the	DET
dem-1057	4	5	economic	economic	ADJ
dem-1057	4	6	distance	distance	NOUN
dem-1057	4	7	,	,	PUNCT
dem-1057	4	8	which	which	PRON
dem-1057	4	9	characterizes	characterize	VERB
dem-1057	4	10	the	the	DET
dem-1057	4	11	similarity	similarity	NOUN
dem-1057	4	12	of	of	ADP
dem-1057	4	13	the	the	DET
dem-1057	4	14	regions	region	NOUN
dem-1057	4	15	on	on	ADP
dem-1057	4	16	the	the	DET
dem-1057	4	17	ground	ground	NOUN
dem-1057	4	18	of	of	ADP
dem-1057	4	19	the	the	DET
dem-1057	4	20	values	value	NOUN
dem-1057	4	21	of	of	ADP
dem-1057	4	22	the	the	DET
dem-1057	4	23	analyzed	analyze	VERB
dem-1057	4	24	processes	process	NOUN
dem-1057	4	25	,	,	PUNCT
dem-1057	4	26	is	be	AUX
dem-1057	4	27	proposed	propose	VERB
dem-1057	4	28	.	.	PUNCT
dem-1057	5	1	k	k	PROPN
dem-1057	5	2	e	e	PROPN
dem-1057	5	3	y	y	PROPN
dem-1057	5	4	w	w	NOUN
dem-1057	5	5	o	o	NOUN
dem-1057	5	6	r	r	NOUN
dem-1057	5	7	d	d	NOUN
dem-1057	5	8	s	s	NOUN
dem-1057	5	9	:	:	PUNCT
dem-1057	5	10	quasi	quasi	ADJ
dem-1057	5	11	-	-	ADJ
dem-1057	5	12	congruent	congruent	ADJ
dem-1057	5	13	spatio	spatio	ADJ
dem-1057	5	14	-	-	PUNCT
dem-1057	5	15	temporal	temporal	ADJ
dem-1057	5	16	model	model	NOUN
dem-1057	5	17	,	,	PUNCT
dem-1057	5	18	autodependence	autodependence	NOUN
dem-1057	5	19	,	,	PUNCT
dem-1057	5	20	connectivity	connectivity	NOUN
dem-1057	5	21	matrix	matrix	NOUN
dem-1057	5	22	,	,	PUNCT
dem-1057	5	23	economic	economic	ADJ
dem-1057	5	24	distance	distance	NOUN
dem-1057	5	25	.	.	PUNCT
dem-1057	6	1	introduction	introduction	NOUN
dem-1057	6	2	spatial	spatial	ADJ
dem-1057	6	3	models	model	NOUN
dem-1057	6	4	are	be	AUX
dem-1057	6	5	estimated	estimate	VERB
dem-1057	6	6	for	for	ADP
dem-1057	6	7	the	the	DET
dem-1057	6	8	given	give	VERB
dem-1057	6	9	spatial	spatial	ADJ
dem-1057	6	10	units	unit	NOUN
dem-1057	6	11	,	,	PUNCT
dem-1057	6	12	such	such	ADJ
dem-1057	6	13	as	as	ADP
dem-1057	6	14	:	:	PUNCT
dem-1057	6	15	countries	country	NOUN
dem-1057	6	16	,	,	PUNCT
dem-1057	6	17	regions	region	NOUN
dem-1057	6	18	,	,	PUNCT
dem-1057	6	19	provinces	province	NOUN
dem-1057	6	20	(	(	PUNCT
dem-1057	6	21	voivodeships	voivodeship	NOUN
dem-1057	6	22	)	)	PUNCT
dem-1057	6	23	,	,	PUNCT
dem-1057	6	24	census	census	NOUN
dem-1057	6	25	tracts	tract	NOUN
dem-1057	6	26	and	and	CCONJ
dem-1057	6	27	so	so	ADV
dem-1057	6	28	on	on	ADV
dem-1057	6	29	.	.	PUNCT
dem-1057	7	1	data	datum	NOUN
dem-1057	7	2	,	,	PUNCT
dem-1057	7	3	usually	usually	ADV
dem-1057	7	4	spatially	spatially	ADV
dem-1057	7	5	correlated	correlate	VERB
dem-1057	7	6	,	,	PUNCT
dem-1057	7	7	collected	collect	VERB
dem-1057	7	8	for	for	ADP
dem-1057	7	9	these	these	DET
dem-1057	7	10	units	unit	NOUN
dem-1057	7	11	create	create	VERB
dem-1057	7	12	the	the	DET
dem-1057	7	13	established	establish	VERB
dem-1057	7	14	configurations	configuration	NOUN
dem-1057	7	15	which	which	PRON
dem-1057	7	16	determine	determine	VERB
dem-1057	7	17	quantification	quantification	NOUN
dem-1057	7	18	of	of	ADP
dem-1057	7	19	the	the	DET
dem-1057	7	20	spatial	spatial	ADJ
dem-1057	7	21	autodependence	autodependence	NOUN
dem-1057	7	22	.	.	PUNCT
dem-1057	8	1	configurations	configuration	NOUN
dem-1057	8	2	of	of	ADP
dem-1057	8	3	the	the	DET
dem-1057	8	4	aggregated	aggregate	VERB
dem-1057	8	5	data	datum	NOUN
dem-1057	8	6	simplify	simplify	VERB
dem-1057	8	7	the	the	DET
dem-1057	8	8	connections	connection	NOUN
dem-1057	8	9	of	of	ADP
dem-1057	8	10	the	the	DET
dem-1057	8	11	smaller	small	ADJ
dem-1057	8	12	spatial	spatial	ADJ
dem-1057	8	13	units	unit	NOUN
dem-1057	8	14	and	and	CCONJ
dem-1057	8	15	then	then	ADV
dem-1057	8	16	they	they	PRON
dem-1057	8	17	may	may	AUX
dem-1057	8	18	lead	lead	VERB
dem-1057	8	19	to	to	ADP
dem-1057	8	20	the	the	DET
dem-1057	8	21	simplified	simplified	ADJ
dem-1057	8	22	description	description	NOUN
dem-1057	8	23	of	of	ADP
dem-1057	8	24	some	some	DET
dem-1057	8	25	properties	property	NOUN
dem-1057	8	26	of	of	ADP
dem-1057	8	27	the	the	DET
dem-1057	8	28	economic	economic	ADJ
dem-1057	8	29	spatial	spatial	ADJ
dem-1057	8	30	processes	process	NOUN
dem-1057	8	31	and	and	CCONJ
dem-1057	8	32	the	the	DET
dem-1057	8	33	dependence	dependence	NOUN
dem-1057	8	34	between	between	ADP
dem-1057	8	35	them1	them1	PROPN
dem-1057	8	36	.	.	PUNCT
dem-1057	9	1	this	this	PRON
dem-1057	9	2	is	be	AUX
dem-1057	9	3	also	also	ADV
dem-1057	9	4	the	the	DET
dem-1057	9	5	case	case	NOUN
dem-1057	9	6	of	of	ADP
dem-1057	9	7	the	the	DET
dem-1057	9	8	spatio	spatio	PROPN
dem-1057	9	9	-	-	PUNCT
dem-1057	9	10	temporal	temporal	ADJ
dem-1057	9	11	processes	process	NOUN
dem-1057	9	12	.	.	PUNCT
dem-1057	10	1	in	in	ADP
dem-1057	10	2	the	the	DET
dem-1057	10	3	paper	paper	NOUN
dem-1057	10	4	attention	attention	NOUN
dem-1057	10	5	is	be	AUX
dem-1057	10	6	paid	pay	VERB
dem-1057	10	7	to	to	ADP
dem-1057	10	8	the	the	DET
dem-1057	10	9	spatial	spatial	ADJ
dem-1057	10	10	aspect	aspect	NOUN
dem-1057	10	11	of	of	ADP
dem-1057	10	12	the	the	DET
dem-1057	10	13	data	data	NOUN
dem-1057	10	14	aggregation	aggregation	NOUN
dem-1057	10	15	.	.	PUNCT
dem-1057	11	1	the	the	DET
dem-1057	11	2	question	question	NOUN
dem-1057	11	3	of	of	ADP
dem-1057	11	4	the	the	DET
dem-1057	11	5	time	time	NOUN
dem-1057	11	6	aggregation	aggregation	NOUN
dem-1057	11	7	is	be	AUX
dem-1057	11	8	not	not	PART
dem-1057	11	9	taken	take	VERB
dem-1057	11	10	into	into	ADP
dem-1057	11	11	account	account	NOUN
dem-1057	11	12	.	.	PUNCT
dem-1057	12	1	since	since	SCONJ
dem-1057	12	2	the	the	DET
dem-1057	12	3	paper	paper	NOUN
dem-1057	12	4	concerns	concern	VERB
dem-1057	12	5	the	the	DET
dem-1057	12	6	investigation	investigation	NOUN
dem-1057	12	7	of	of	ADP
dem-1057	12	8	the	the	DET
dem-1057	12	9	spatial	spatial	ADJ
dem-1057	12	10	processes	process	NOUN
dem-1057	12	11	in	in	ADP
dem-1057	12	12	time	time	NOUN
dem-1057	12	13	,	,	PUNCT
dem-1057	12	14	some	some	DET
dem-1057	12	15	dynamic	dynamic	ADJ
dem-1057	12	16	elements	element	NOUN
dem-1057	12	17	were	be	AUX
dem-1057	12	18	introduced	introduce	VERB
dem-1057	12	19	to	to	ADP
dem-1057	12	20	the	the	DET
dem-1057	12	21	analysis	analysis	NOUN
dem-1057	12	22	.	.	PUNCT
dem-1057	13	1	1	1	NUM
dem-1057	13	2	see	see	VERB
dem-1057	13	3	e.g.	e.g.	ADV
dem-1057	13	4	arbia	arbia	NOUN
dem-1057	13	5	(	(	PUNCT
dem-1057	13	6	1988	1988	NUM
dem-1057	13	7	)	)	PUNCT
dem-1057	13	8	for	for	ADP
dem-1057	13	9	an	an	DET
dem-1057	13	10	early	early	ADJ
dem-1057	13	11	discussion	discussion	NOUN
dem-1057	13	12	of	of	ADP
dem-1057	13	13	some	some	PRON
dem-1057	13	14	of	of	ADP
dem-1057	13	15	the	the	DET
dem-1057	13	16	issues	issue	NOUN
dem-1057	13	17	.	.	PUNCT
dem-1057	14	1	elżbieta	elżbieta	PROPN
dem-1057	14	2	szulc	szulc	PROPN
dem-1057	14	3	6	6	NUM
dem-1057	14	4	the	the	DET
dem-1057	14	5	presented	present	VERB
dem-1057	14	6	considerations	consideration	NOUN
dem-1057	14	7	refer	refer	VERB
dem-1057	14	8	to	to	ADP
dem-1057	14	9	the	the	DET
dem-1057	14	10	previous	previous	ADJ
dem-1057	14	11	investigations	investigation	NOUN
dem-1057	14	12	carried	carry	VERB
dem-1057	14	13	out	out	ADP
dem-1057	14	14	on	on	ADP
dem-1057	14	15	the	the	DET
dem-1057	14	16	basis	basis	NOUN
dem-1057	14	17	of	of	ADP
dem-1057	14	18	generated	generate	VERB
dem-1057	14	19	data	datum	NOUN
dem-1057	14	20	(	(	PUNCT
dem-1057	14	21	szulc	szulc	PROPN
dem-1057	14	22	et	et	PROPN
dem-1057	14	23	al	al	PROPN
dem-1057	14	24	.	.	PROPN
dem-1057	14	25	,	,	PUNCT
dem-1057	14	26	2011	2011	NUM
dem-1057	14	27	)	)	PUNCT
dem-1057	14	28	and	and	CCONJ
dem-1057	14	29	empirical	empirical	ADJ
dem-1057	14	30	data	datum	NOUN
dem-1057	14	31	for	for	ADP
dem-1057	14	32	one	one	NUM
dem-1057	14	33	year	year	NOUN
dem-1057	14	34	(	(	PUNCT
dem-1057	14	35	szulc	szulc	PROPN
dem-1057	14	36	,	,	PUNCT
dem-1057	14	37	2011	2011	NUM
dem-1057	14	38	)	)	PUNCT
dem-1057	14	39	.	.	PUNCT
dem-1057	15	1	at	at	ADP
dem-1057	15	2	present	present	ADJ
dem-1057	15	3	the	the	DET
dem-1057	15	4	time	time	NOUN
dem-1057	15	5	range	range	NOUN
dem-1057	15	6	of	of	ADP
dem-1057	15	7	the	the	DET
dem-1057	15	8	analysis	analysis	NOUN
dem-1057	15	9	has	have	AUX
dem-1057	15	10	been	be	AUX
dem-1057	15	11	extended	extend	VERB
dem-1057	15	12	to	to	ADP
dem-1057	15	13	six	six	NUM
dem-1057	15	14	years	year	NOUN
dem-1057	15	15	.	.	PUNCT
dem-1057	16	1	in	in	ADP
dem-1057	16	2	szulc	szulc	PROPN
dem-1057	16	3	et	et	PROPN
dem-1057	16	4	al	al	PROPN
dem-1057	16	5	.	.	PROPN
dem-1057	17	1	(	(	PUNCT
dem-1057	17	2	2011	2011	NUM
dem-1057	17	3	)	)	PUNCT
dem-1057	17	4	there	there	PRON
dem-1057	17	5	was	be	VERB
dem-1057	17	6	formulated	formulate	VERB
dem-1057	17	7	and	and	CCONJ
dem-1057	17	8	verified	verify	VERB
dem-1057	17	9	the	the	DET
dem-1057	17	10	thesis	thesis	NOUN
dem-1057	17	11	that	that	SCONJ
dem-1057	17	12	finding	find	VERB
dem-1057	17	13	out	out	ADP
dem-1057	17	14	the	the	DET
dem-1057	17	15	value	value	NOUN
dem-1057	17	16	of	of	ADP
dem-1057	17	17	the	the	DET
dem-1057	17	18	parameter	parameter	NOUN
dem-1057	17	19	which	which	PRON
dem-1057	17	20	measures	measure	VERB
dem-1057	17	21	the	the	DET
dem-1057	17	22	actual	actual	ADJ
dem-1057	17	23	influence	influence	NOUN
dem-1057	17	24	of	of	ADP
dem-1057	17	25	one	one	NUM
dem-1057	17	26	spatial	spatial	ADJ
dem-1057	17	27	process	process	NOUN
dem-1057	17	28	on	on	ADP
dem-1057	17	29	another	another	DET
dem-1057	17	30	spatial	spatial	ADJ
dem-1057	17	31	process	process	NOUN
dem-1057	17	32	needs	need	VERB
dem-1057	17	33	to	to	PART
dem-1057	17	34	identify	identify	VERB
dem-1057	17	35	the	the	DET
dem-1057	17	36	properties	property	NOUN
dem-1057	17	37	and	and	CCONJ
dem-1057	17	38	componential	componential	ADJ
dem-1057	17	39	structures	structure	NOUN
dem-1057	17	40	of	of	ADP
dem-1057	17	41	the	the	DET
dem-1057	17	42	processes	process	NOUN
dem-1057	17	43	and	and	CCONJ
dem-1057	17	44	to	to	PART
dem-1057	17	45	take	take	VERB
dem-1057	17	46	them	they	PRON
dem-1057	17	47	explicitly	explicitly	ADV
dem-1057	17	48	into	into	ADP
dem-1057	17	49	account	account	NOUN
dem-1057	17	50	in	in	ADP
dem-1057	17	51	the	the	DET
dem-1057	17	52	spatial	spatial	ADJ
dem-1057	17	53	regression	regression	NOUN
dem-1057	17	54	model	model	NOUN
dem-1057	17	55	.	.	PUNCT
dem-1057	18	1	formulation	formulation	NOUN
dem-1057	18	2	of	of	ADP
dem-1057	18	3	the	the	DET
dem-1057	18	4	hypothesis	hypothesis	NOUN
dem-1057	18	5	mentioned	mention	VERB
dem-1057	18	6	above	above	ADV
dem-1057	18	7	means	mean	VERB
dem-1057	18	8	the	the	DET
dem-1057	18	9	recommendation	recommendation	NOUN
dem-1057	18	10	of	of	ADP
dem-1057	18	11	construction	construction	NOUN
dem-1057	18	12	of	of	ADP
dem-1057	18	13	the	the	DET
dem-1057	18	14	quasi	quasi	ADJ
dem-1057	18	15	-	-	ADJ
dem-1057	18	16	congruent	congruent	ADJ
dem-1057	18	17	spatial	spatial	ADJ
dem-1057	18	18	model2	model2	NOUN
dem-1057	18	19	in	in	ADP
dem-1057	18	20	which	which	PRON
dem-1057	18	21	,	,	PUNCT
dem-1057	18	22	thanks	thank	NOUN
dem-1057	18	23	to	to	ADP
dem-1057	18	24	taking	take	VERB
dem-1057	18	25	into	into	ADP
dem-1057	18	26	account	account	NOUN
dem-1057	18	27	the	the	DET
dem-1057	18	28	components	component	NOUN
dem-1057	18	29	describing	describe	VERB
dem-1057	18	30	the	the	DET
dem-1057	18	31	internal	internal	ADJ
dem-1057	18	32	structure	structure	NOUN
dem-1057	18	33	of	of	ADP
dem-1057	18	34	the	the	DET
dem-1057	18	35	processes	process	NOUN
dem-1057	18	36	,	,	PUNCT
dem-1057	18	37	the	the	DET
dem-1057	18	38	filtration	filtration	NOUN
dem-1057	18	39	of	of	ADP
dem-1057	18	40	the	the	DET
dem-1057	18	41	processes	process	NOUN
dem-1057	18	42	takes	take	VERB
dem-1057	18	43	place	place	NOUN
dem-1057	18	44	and	and	CCONJ
dem-1057	18	45	the	the	DET
dem-1057	18	46	estimation	estimation	NOUN
dem-1057	18	47	of	of	ADP
dem-1057	18	48	the	the	DET
dem-1057	18	49	dependence	dependence	NOUN
dem-1057	18	50	is	be	AUX
dem-1057	18	51	more	more	ADV
dem-1057	18	52	precise	precise	ADJ
dem-1057	18	53	,	,	PUNCT
dem-1057	18	54	as	as	SCONJ
dem-1057	18	55	not	not	PART
dem-1057	18	56	disturbed	disturb	VERB
dem-1057	18	57	by	by	ADP
dem-1057	18	58	the	the	DET
dem-1057	18	59	so	so	ADV
dem-1057	18	60	-	-	PUNCT
dem-1057	18	61	called	call	VERB
dem-1057	18	62	indirect	indirect	ADJ
dem-1057	18	63	influences	influence	NOUN
dem-1057	18	64	.	.	PUNCT
dem-1057	19	1	finally	finally	ADV
dem-1057	19	2	,	,	PUNCT
dem-1057	19	3	on	on	ADP
dem-1057	19	4	condition	condition	NOUN
dem-1057	19	5	of	of	ADP
dem-1057	19	6	the	the	DET
dem-1057	19	7	precise	precise	ADJ
dem-1057	19	8	filtration	filtration	NOUN
dem-1057	19	9	,	,	PUNCT
dem-1057	19	10	the	the	DET
dem-1057	19	11	regression	regression	NOUN
dem-1057	19	12	coefficients	coefficient	VERB
dem-1057	19	13	in	in	ADP
dem-1057	19	14	the	the	DET
dem-1057	19	15	quasicongruent	quasicongruent	ADJ
dem-1057	19	16	spatial	spatial	ADJ
dem-1057	19	17	models	model	NOUN
dem-1057	19	18	estimated	estimate	VERB
dem-1057	19	19	at	at	ADP
dem-1057	19	20	the	the	DET
dem-1057	19	21	individual	individual	ADJ
dem-1057	19	22	level	level	NOUN
dem-1057	19	23	should	should	AUX
dem-1057	19	24	be	be	AUX
dem-1057	19	25	the	the	DET
dem-1057	19	26	same	same	ADJ
dem-1057	19	27	(	(	PUNCT
dem-1057	19	28	identical	identical	ADJ
dem-1057	19	29	)	)	PUNCT
dem-1057	19	30	as	as	ADP
dem-1057	19	31	the	the	DET
dem-1057	19	32	ones	one	NOUN
dem-1057	19	33	estimated	estimate	VERB
dem-1057	19	34	at	at	ADP
dem-1057	19	35	the	the	DET
dem-1057	19	36	aggregated	aggregate	VERB
dem-1057	19	37	level	level	NOUN
dem-1057	19	38	.	.	PUNCT
dem-1057	20	1	the	the	DET
dem-1057	20	2	hypothesis	hypothesis	NOUN
dem-1057	20	3	and	and	CCONJ
dem-1057	20	4	its	its	PRON
dem-1057	20	5	consequences	consequence	NOUN
dem-1057	20	6	may	may	AUX
dem-1057	20	7	be	be	AUX
dem-1057	20	8	extended	extend	VERB
dem-1057	20	9	to	to	ADP
dem-1057	20	10	the	the	DET
dem-1057	20	11	case	case	NOUN
dem-1057	20	12	of	of	ADP
dem-1057	20	13	the	the	DET
dem-1057	20	14	analysis	analysis	NOUN
dem-1057	20	15	of	of	ADP
dem-1057	20	16	the	the	DET
dem-1057	20	17	spatio	spatio	PROPN
dem-1057	20	18	-	-	PUNCT
dem-1057	20	19	temporal	temporal	ADJ
dem-1057	20	20	processes	process	NOUN
dem-1057	20	21	.	.	PUNCT
dem-1057	21	1	in	in	ADP
dem-1057	21	2	the	the	DET
dem-1057	21	3	quoted	quote	VERB
dem-1057	21	4	work	work	NOUN
dem-1057	21	5	there	there	PRON
dem-1057	21	6	was	be	AUX
dem-1057	21	7	shown	show	VERB
dem-1057	21	8	,	,	PUNCT
dem-1057	21	9	that	that	SCONJ
dem-1057	21	10	the	the	DET
dem-1057	21	11	quasi	quasi	ADJ
dem-1057	21	12	-	-	ADJ
dem-1057	21	13	congruent	congruent	ADJ
dem-1057	21	14	spatial	spatial	ADJ
dem-1057	21	15	model	model	NOUN
dem-1057	21	16	was	be	AUX
dem-1057	21	17	an	an	DET
dem-1057	21	18	effective	effective	ADJ
dem-1057	21	19	tool	tool	NOUN
dem-1057	21	20	of	of	ADP
dem-1057	21	21	the	the	DET
dem-1057	21	22	measurement	measurement	NOUN
dem-1057	21	23	of	of	ADP
dem-1057	21	24	the	the	DET
dem-1057	21	25	dependence	dependence	NOUN
dem-1057	21	26	between	between	ADP
dem-1057	21	27	spatial	spatial	ADJ
dem-1057	21	28	processes	process	NOUN
dem-1057	21	29	(	(	PUNCT
dem-1057	21	30	actual	actual	ADJ
dem-1057	21	31	value	value	NOUN
dem-1057	21	32	of	of	ADP
dem-1057	21	33	the	the	DET
dem-1057	21	34	regression	regression	NOUN
dem-1057	21	35	coefficient	coefficient	NOUN
dem-1057	21	36	)	)	PUNCT
dem-1057	21	37	,	,	PUNCT
dem-1057	21	38	if	if	SCONJ
dem-1057	21	39	the	the	DET
dem-1057	21	40	model	model	NOUN
dem-1057	21	41	description	description	NOUN
dem-1057	21	42	of	of	ADP
dem-1057	21	43	the	the	DET
dem-1057	21	44	structures	structure	NOUN
dem-1057	21	45	of	of	ADP
dem-1057	21	46	the	the	DET
dem-1057	21	47	processes	process	NOUN
dem-1057	21	48	was	be	AUX
dem-1057	21	49	correct	correct	ADJ
dem-1057	21	50	and	and	CCONJ
dem-1057	21	51	sufficient	sufficient	ADJ
dem-1057	21	52	.	.	PUNCT
dem-1057	22	1	the	the	DET
dem-1057	22	2	differences	difference	NOUN
dem-1057	22	3	between	between	ADP
dem-1057	22	4	the	the	DET
dem-1057	22	5	values	value	NOUN
dem-1057	22	6	of	of	ADP
dem-1057	22	7	the	the	DET
dem-1057	22	8	regression	regression	NOUN
dem-1057	22	9	coefficient	coefficient	NOUN
dem-1057	22	10	obtained	obtain	VERB
dem-1057	22	11	for	for	ADP
dem-1057	22	12	the	the	DET
dem-1057	22	13	quasicongruent	quasicongruent	ADJ
dem-1057	22	14	models	model	NOUN
dem-1057	22	15	before	before	ADP
dem-1057	22	16	and	and	CCONJ
dem-1057	22	17	after	after	ADP
dem-1057	22	18	the	the	DET
dem-1057	22	19	aggregation	aggregation	NOUN
dem-1057	22	20	of	of	ADP
dem-1057	22	21	the	the	DET
dem-1057	22	22	data	datum	NOUN
dem-1057	22	23	were	be	AUX
dem-1057	22	24	dependent	dependent	ADJ
dem-1057	22	25	on	on	ADP
dem-1057	22	26	the	the	DET
dem-1057	22	27	structures	structure	NOUN
dem-1057	22	28	of	of	ADP
dem-1057	22	29	the	the	DET
dem-1057	22	30	separate	separate	ADJ
dem-1057	22	31	processes	process	NOUN
dem-1057	22	32	.	.	PUNCT
dem-1057	23	1	for	for	ADP
dem-1057	23	2	the	the	DET
dem-1057	23	3	processes	process	NOUN
dem-1057	23	4	only	only	ADV
dem-1057	23	5	with	with	ADP
dem-1057	23	6	the	the	DET
dem-1057	23	7	trend	trend	NOUN
dem-1057	23	8	structure	structure	NOUN
dem-1057	23	9	,	,	PUNCT
dem-1057	23	10	regardless	regardless	ADV
dem-1057	23	11	of	of	ADP
dem-1057	23	12	the	the	DET
dem-1057	23	13	degrees	degree	NOUN
dem-1057	23	14	of	of	ADP
dem-1057	23	15	the	the	DET
dem-1057	23	16	trend	trend	NOUN
dem-1057	23	17	and	and	CCONJ
dem-1057	23	18	of	of	ADP
dem-1057	23	19	the	the	DET
dem-1057	23	20	values	value	NOUN
dem-1057	23	21	of	of	ADP
dem-1057	23	22	their	their	PRON
dem-1057	23	23	parameters	parameter	NOUN
dem-1057	23	24	,	,	PUNCT
dem-1057	23	25	the	the	DET
dem-1057	23	26	regression	regression	NOUN
dem-1057	23	27	coefficients	coefficient	NOUN
dem-1057	23	28	estimated	estimate	VERB
dem-1057	23	29	at	at	ADP
dem-1057	23	30	the	the	DET
dem-1057	23	31	various	various	ADJ
dem-1057	23	32	levels	level	NOUN
dem-1057	23	33	of	of	ADP
dem-1057	23	34	data	datum	NOUN
dem-1057	23	35	aggregation	aggregation	NOUN
dem-1057	23	36	did	do	AUX
dem-1057	23	37	not	not	PART
dem-1057	23	38	differ	differ	VERB
dem-1057	23	39	from	from	ADP
dem-1057	23	40	one	one	NUM
dem-1057	23	41	another	another	DET
dem-1057	23	42	significantly	significantly	ADV
dem-1057	23	43	and	and	CCONJ
dem-1057	23	44	oscillated	oscillate	VERB
dem-1057	23	45	around	around	ADP
dem-1057	23	46	the	the	DET
dem-1057	23	47	actual	actual	ADJ
dem-1057	23	48	value	value	NOUN
dem-1057	23	49	.	.	PUNCT
dem-1057	24	1	on	on	ADP
dem-1057	24	2	the	the	DET
dem-1057	24	3	contrary	contrary	NOUN
dem-1057	24	4	,	,	PUNCT
dem-1057	24	5	in	in	ADP
dem-1057	24	6	terms	term	NOUN
dem-1057	24	7	of	of	ADP
dem-1057	24	8	the	the	DET
dem-1057	24	9	spatial	spatial	ADJ
dem-1057	24	10	autocorrelation	autocorrelation	NOUN
dem-1057	24	11	,	,	PUNCT
dem-1057	24	12	the	the	DET
dem-1057	24	13	value	value	NOUN
dem-1057	24	14	of	of	ADP
dem-1057	24	15	the	the	DET
dem-1057	24	16	regression	regression	NOUN
dem-1057	24	17	coefficient	coefficient	NOUN
dem-1057	24	18	after	after	SCONJ
dem-1057	24	19	the	the	DET
dem-1057	24	20	aggregation	aggregation	NOUN
dem-1057	24	21	was	be	AUX
dem-1057	24	22	overestimated	overestimate	VERB
dem-1057	24	23	,	,	PUNCT
dem-1057	24	24	when	when	SCONJ
dem-1057	24	25	y	y	VERB
dem-1057	24	26	>	>	X
dem-1057	24	27	x	x	NOUN
dem-1057	24	28	,	,	PUNCT
dem-1057	24	29	and	and	CCONJ
dem-1057	24	30	underestimated	underestimate	VERB
dem-1057	24	31	,	,	PUNCT
dem-1057	24	32	when	when	SCONJ
dem-1057	24	33	y	y	VERB
dem-1057	24	34	<	<	X
dem-1057	24	35	x	x	X
dem-1057	24	36	3	3	X
dem-1057	24	37	.	.	PUNCT
dem-1057	25	1	the	the	DET
dem-1057	25	2	regression	regression	NOUN
dem-1057	25	3	coefficients	coefficient	VERB
dem-1057	25	4	in	in	ADP
dem-1057	25	5	the	the	DET
dem-1057	25	6	spatial	spatial	ADJ
dem-1057	25	7	quasi	quasi	ADJ
dem-1057	25	8	-	-	ADJ
dem-1057	25	9	congruent	congruent	ADJ
dem-1057	25	10	models	model	NOUN
dem-1057	25	11	for	for	ADP
dem-1057	25	12	the	the	DET
dem-1057	25	13	primary	primary	ADJ
dem-1057	25	14	data	datum	NOUN
dem-1057	25	15	and	and	CCONJ
dem-1057	25	16	for	for	ADP
dem-1057	25	17	the	the	DET
dem-1057	25	18	aggregated	aggregate	VERB
dem-1057	25	19	data	datum	NOUN
dem-1057	25	20	with	with	ADP
dem-1057	25	21	the	the	DET
dem-1057	25	22	spatial	spatial	ADJ
dem-1057	25	23	autocorrelation	autocorrelation	NOUN
dem-1057	25	24	will	will	AUX
dem-1057	25	25	differ	differ	VERB
dem-1057	25	26	in	in	ADP
dem-1057	25	27	value	value	NOUN
dem-1057	25	28	first	first	ADV
dem-1057	25	29	of	of	ADP
dem-1057	25	30	all	all	PRON
dem-1057	25	31	because	because	SCONJ
dem-1057	25	32	the	the	DET
dem-1057	25	33	connectivity	connectivity	NOUN
dem-1057	25	34	matrix	matrix	NOUN
dem-1057	25	35	in	in	ADP
dem-1057	25	36	the	the	DET
dem-1057	25	37	aggregated	aggregate	VERB
dem-1057	25	38	model	model	NOUN
dem-1057	25	39	does	do	AUX
dem-1057	25	40	not	not	PART
dem-1057	25	41	reflect	reflect	VERB
dem-1057	25	42	the	the	DET
dem-1057	25	43	connections	connection	NOUN
dem-1057	25	44	of	of	ADP
dem-1057	25	45	the	the	DET
dem-1057	25	46	data	datum	NOUN
dem-1057	25	47	before	before	ADP
dem-1057	25	48	the	the	DET
dem-1057	25	49	aggregation	aggregation	NOUN
dem-1057	25	50	.	.	PUNCT
dem-1057	26	1	thus	thus	ADV
dem-1057	26	2	,	,	PUNCT
dem-1057	26	3	the	the	DET
dem-1057	26	4	autodependence	autodependence	NOUN
dem-1057	26	5	existing	exist	VERB
dem-1057	26	6	at	at	ADP
dem-1057	26	7	the	the	DET
dem-1057	26	8	individual	individual	ADJ
dem-1057	26	9	level	level	NOUN
dem-1057	26	10	can	can	AUX
dem-1057	26	11	not	not	PART
dem-1057	26	12	be	be	AUX
dem-1057	26	13	precisely	precisely	ADV
dem-1057	26	14	described	describe	VERB
dem-1057	26	15	at	at	ADP
dem-1057	26	16	the	the	DET
dem-1057	26	17	aggregated	aggregate	VERB
dem-1057	26	18	level	level	NOUN
dem-1057	26	19	.	.	PUNCT
dem-1057	27	1	moreover	moreover	ADV
dem-1057	27	2	,	,	PUNCT
dem-1057	27	3	the	the	DET
dem-1057	27	4	quantification	quantification	NOUN
dem-1057	27	5	of	of	ADP
dem-1057	27	6	the	the	DET
dem-1057	27	7	spatial	spatial	ADJ
dem-1057	27	8	2	2	NUM
dem-1057	27	9	the	the	DET
dem-1057	27	10	procedure	procedure	NOUN
dem-1057	27	11	of	of	ADP
dem-1057	27	12	constructing	construct	VERB
dem-1057	27	13	such	such	DET
dem-1057	27	14	a	a	DET
dem-1057	27	15	model	model	NOUN
dem-1057	27	16	was	be	AUX
dem-1057	27	17	described	describe	VERB
dem-1057	27	18	in	in	ADP
dem-1057	27	19	the	the	DET
dem-1057	27	20	quoted	quote	VERB
dem-1057	27	21	work	work	NOUN
dem-1057	27	22	.	.	PUNCT
dem-1057	28	1	it	it	PRON
dem-1057	28	2	was	be	AUX
dem-1057	28	3	also	also	ADV
dem-1057	28	4	explained	explain	VERB
dem-1057	28	5	what	what	PRON
dem-1057	28	6	the	the	DET
dem-1057	28	7	quasi	quasi	NOUN
dem-1057	28	8	-	-	NOUN
dem-1057	28	9	congruency	congruency	NOUN
dem-1057	28	10	of	of	ADP
dem-1057	28	11	the	the	DET
dem-1057	28	12	spatial	spatial	ADJ
dem-1057	28	13	model	model	NOUN
dem-1057	28	14	meant	mean	VERB
dem-1057	28	15	.	.	PUNCT
dem-1057	29	1	3	3	NUM
dem-1057	29	2	y	y	NOUN
dem-1057	29	3	and	and	CCONJ
dem-1057	29	4	x	x	NOUN
dem-1057	29	5	denote	denote	VERB
dem-1057	29	6	respectively	respectively	ADV
dem-1057	29	7	the	the	DET
dem-1057	29	8	autoregression	autoregression	NOUN
dem-1057	29	9	coefficients	coefficient	NOUN
dem-1057	29	10	of	of	ADP
dem-1057	29	11	the	the	DET
dem-1057	29	12	explaining	explaining	ADJ
dem-1057	29	13	and	and	CCONJ
dem-1057	29	14	explanatory	explanatory	ADJ
dem-1057	29	15	process	process	NOUN
dem-1057	29	16	.	.	PUNCT
dem-1057	30	1	identification	identification	NOUN
dem-1057	30	2	of	of	ADP
dem-1057	30	3	the	the	DET
dem-1057	30	4	structures	structure	NOUN
dem-1057	30	5	of	of	ADP
dem-1057	30	6	spatial	spatial	ADJ
dem-1057	30	7	and	and	CCONJ
dem-1057	30	8	spatio	spatio	ADJ
dem-1057	30	9	-	-	PUNCT
dem-1057	30	10	temporal	temporal	ADJ
dem-1057	30	11	processes	process	NOUN
dem-1057	30	12	…	…	PUNCT
dem-1057	30	13	7	7	NUM
dem-1057	30	14	dependence	dependence	NOUN
dem-1057	30	15	by	by	ADP
dem-1057	30	16	means	mean	NOUN
dem-1057	30	17	of	of	ADP
dem-1057	30	18	the	the	DET
dem-1057	30	19	standard	standard	ADJ
dem-1057	30	20	matrixes	matrix	NOUN
dem-1057	30	21	of	of	ADP
dem-1057	30	22	the	the	DET
dem-1057	30	23	connections	connection	NOUN
dem-1057	30	24	,	,	PUNCT
dem-1057	30	25	within	within	ADP
dem-1057	30	26	the	the	DET
dem-1057	30	27	scheme	scheme	NOUN
dem-1057	30	28	of	of	ADP
dem-1057	30	29	the	the	DET
dem-1057	30	30	structure	structure	NOUN
dem-1057	30	31	of	of	ADP
dem-1057	30	32	the	the	DET
dem-1057	30	33	spatial	spatial	ADJ
dem-1057	30	34	connections	connection	NOUN
dem-1057	30	35	existing	exist	VERB
dem-1057	30	36	at	at	ADP
dem-1057	30	37	the	the	DET
dem-1057	30	38	given	give	VERB
dem-1057	30	39	level	level	NOUN
dem-1057	30	40	of	of	ADP
dem-1057	30	41	data	datum	NOUN
dem-1057	30	42	aggregation	aggregation	NOUN
dem-1057	30	43	as	as	ADV
dem-1057	30	44	well	well	ADV
dem-1057	30	45	,	,	PUNCT
dem-1057	30	46	may	may	AUX
dem-1057	30	47	be	be	AUX
dem-1057	30	48	inadequate	inadequate	ADJ
dem-1057	30	49	.	.	PUNCT
dem-1057	31	1	this	this	PRON
dem-1057	31	2	is	be	AUX
dem-1057	31	3	the	the	DET
dem-1057	31	4	situation	situation	NOUN
dem-1057	31	5	,	,	PUNCT
dem-1057	31	6	when	when	SCONJ
dem-1057	31	7	the	the	DET
dem-1057	31	8	strength	strength	NOUN
dem-1057	31	9	of	of	ADP
dem-1057	31	10	the	the	DET
dem-1057	31	11	connection	connection	NOUN
dem-1057	31	12	between	between	ADP
dem-1057	31	13	the	the	DET
dem-1057	31	14	spatial	spatial	ADJ
dem-1057	31	15	units	unit	NOUN
dem-1057	31	16	depends	depend	VERB
dem-1057	31	17	not	not	PART
dem-1057	31	18	only	only	ADV
dem-1057	31	19	on	on	ADP
dem-1057	31	20	the	the	DET
dem-1057	31	21	physical	physical	ADJ
dem-1057	31	22	distance	distance	NOUN
dem-1057	31	23	and	and	CCONJ
dem-1057	31	24	the	the	DET
dem-1057	31	25	fact	fact	NOUN
dem-1057	31	26	of	of	ADP
dem-1057	31	27	being	be	AUX
dem-1057	31	28	contiguous	contiguous	ADJ
dem-1057	31	29	,	,	PUNCT
dem-1057	31	30	but	but	CCONJ
dem-1057	31	31	also	also	ADV
dem-1057	31	32	on	on	ADP
dem-1057	31	33	e.g.	e.g.	ADV
dem-1057	31	34	the	the	DET
dem-1057	31	35	economic	economic	ADJ
dem-1057	31	36	similarity	similarity	NOUN
dem-1057	31	37	of	of	ADP
dem-1057	31	38	the	the	DET
dem-1057	31	39	units	unit	NOUN
dem-1057	31	40	.	.	PUNCT
dem-1057	32	1	looking	look	VERB
dem-1057	32	2	for	for	ADP
dem-1057	32	3	the	the	DET
dem-1057	32	4	more	more	ADV
dem-1057	32	5	precise	precise	ADJ
dem-1057	32	6	measurement	measurement	NOUN
dem-1057	32	7	of	of	ADP
dem-1057	32	8	the	the	DET
dem-1057	32	9	spatial	spatial	ADJ
dem-1057	32	10	autodependence	autodependence	NOUN
dem-1057	32	11	with	with	ADP
dem-1057	32	12	the	the	DET
dem-1057	32	13	help	help	NOUN
dem-1057	32	14	of	of	ADP
dem-1057	32	15	other	other	ADJ
dem-1057	32	16	than	than	ADP
dem-1057	32	17	the	the	DET
dem-1057	32	18	standard	standard	ADJ
dem-1057	32	19	matrixes	matrix	NOUN
dem-1057	32	20	of	of	ADP
dem-1057	32	21	connections	connection	NOUN
dem-1057	32	22	,	,	PUNCT
dem-1057	32	23	in	in	ADP
dem-1057	32	24	szulc	szulc	PROPN
dem-1057	32	25	(	(	PUNCT
dem-1057	32	26	2011	2011	NUM
dem-1057	32	27	)	)	PUNCT
dem-1057	32	28	there	there	PRON
dem-1057	32	29	was	be	VERB
dem-1057	32	30	investigated	investigate	VERB
dem-1057	32	31	the	the	DET
dem-1057	32	32	question	question	NOUN
dem-1057	32	33	of	of	ADP
dem-1057	32	34	how	how	SCONJ
dem-1057	32	35	the	the	DET
dem-1057	32	36	application	application	NOUN
dem-1057	32	37	of	of	ADP
dem-1057	32	38	the	the	DET
dem-1057	32	39	certain	certain	ADJ
dem-1057	32	40	matrix	matrix	NOUN
dem-1057	32	41	of	of	ADP
dem-1057	32	42	the	the	DET
dem-1057	32	43	economic	economic	ADJ
dem-1057	32	44	distance	distance	NOUN
dem-1057	32	45	would	would	AUX
dem-1057	32	46	influence	influence	VERB
dem-1057	32	47	the	the	DET
dem-1057	32	48	estimation	estimation	NOUN
dem-1057	32	49	of	of	ADP
dem-1057	32	50	the	the	DET
dem-1057	32	51	dependence	dependence	NOUN
dem-1057	32	52	between	between	ADP
dem-1057	32	53	the	the	DET
dem-1057	32	54	spatial	spatial	ADJ
dem-1057	32	55	processes	process	NOUN
dem-1057	32	56	.	.	PUNCT
dem-1057	33	1	in	in	ADP
dem-1057	33	2	the	the	DET
dem-1057	33	3	quoted	quote	VERB
dem-1057	33	4	investigation	investigation	NOUN
dem-1057	33	5	the	the	DET
dem-1057	33	6	difference	difference	NOUN
dem-1057	33	7	between	between	ADP
dem-1057	33	8	the	the	DET
dem-1057	33	9	parameters	parameter	NOUN
dem-1057	33	10	of	of	ADP
dem-1057	33	11	the	the	DET
dem-1057	33	12	models	model	NOUN
dem-1057	33	13	for	for	ADP
dem-1057	33	14	the	the	DET
dem-1057	33	15	data	datum	NOUN
dem-1057	33	16	before	before	ADP
dem-1057	33	17	aggregation	aggregation	NOUN
dem-1057	33	18	and	and	CCONJ
dem-1057	33	19	for	for	ADP
dem-1057	33	20	the	the	DET
dem-1057	33	21	aggregated	aggregate	VERB
dem-1057	33	22	data	datum	NOUN
dem-1057	33	23	slightly	slightly	ADV
dem-1057	33	24	decreased	decrease	VERB
dem-1057	33	25	,	,	PUNCT
dem-1057	33	26	but	but	CCONJ
dem-1057	33	27	it	it	PRON
dem-1057	33	28	should	should	AUX
dem-1057	33	29	not	not	PART
dem-1057	33	30	be	be	AUX
dem-1057	33	31	treated	treat	VERB
dem-1057	33	32	as	as	ADP
dem-1057	33	33	regularity	regularity	NOUN
dem-1057	33	34	.	.	PUNCT
dem-1057	34	1	all	all	DET
dem-1057	34	2	the	the	PRON
dem-1057	34	3	more	more	ADJ
dem-1057	34	4	it	it	PRON
dem-1057	34	5	should	should	AUX
dem-1057	34	6	not	not	PART
dem-1057	34	7	be	be	AUX
dem-1057	34	8	expected	expect	VERB
dem-1057	34	9	that	that	SCONJ
dem-1057	34	10	the	the	DET
dem-1057	34	11	difference	difference	NOUN
dem-1057	34	12	will	will	AUX
dem-1057	34	13	disappear	disappear	VERB
dem-1057	34	14	because	because	SCONJ
dem-1057	34	15	the	the	DET
dem-1057	34	16	proposed	propose	VERB
dem-1057	34	17	matrix	matrix	NOUN
dem-1057	34	18	is	be	AUX
dem-1057	34	19	still	still	ADV
dem-1057	34	20	based	base	VERB
dem-1057	34	21	on	on	ADP
dem-1057	34	22	the	the	DET
dem-1057	34	23	common	common	ADJ
dem-1057	34	24	border	border	NOUN
dem-1057	34	25	criterion	criterion	NOUN
dem-1057	34	26	.	.	PUNCT
dem-1057	35	1	the	the	DET
dem-1057	35	2	present	present	ADJ
dem-1057	35	3	investigation	investigation	NOUN
dem-1057	35	4	is	be	AUX
dem-1057	35	5	the	the	DET
dem-1057	35	6	continuation	continuation	NOUN
dem-1057	35	7	of	of	ADP
dem-1057	35	8	the	the	DET
dem-1057	35	9	works	work	NOUN
dem-1057	35	10	quoted	quote	VERB
dem-1057	35	11	above	above	ADV
dem-1057	35	12	.	.	PUNCT
dem-1057	36	1	analogical	analogical	ADJ
dem-1057	36	2	analyses	analysis	NOUN
dem-1057	36	3	are	be	AUX
dem-1057	36	4	carried	carry	VERB
dem-1057	36	5	out	out	ADP
dem-1057	36	6	for	for	ADP
dem-1057	36	7	the	the	DET
dem-1057	36	8	successive	successive	ADJ
dem-1057	36	9	years	year	NOUN
dem-1057	36	10	in	in	ADP
dem-1057	36	11	the	the	DET
dem-1057	36	12	period	period	NOUN
dem-1057	36	13	2004	2004	NUM
dem-1057	36	14	–	–	PUNCT
dem-1057	36	15	2009	2009	NUM
dem-1057	36	16	.	.	PUNCT
dem-1057	37	1	this	this	DET
dem-1057	37	2	approach	approach	NOUN
dem-1057	37	3	allows	allow	VERB
dem-1057	37	4	to	to	PART
dem-1057	37	5	verify	verify	VERB
dem-1057	37	6	whether	whether	SCONJ
dem-1057	37	7	the	the	DET
dem-1057	37	8	observed	observed	ADJ
dem-1057	37	9	regularities	regularity	NOUN
dem-1057	37	10	for	for	ADP
dem-1057	37	11	2007	2007	NUM
dem-1057	37	12	(	(	PUNCT
dem-1057	37	13	see	see	PROPN
dem-1057	37	14	szulc	szulc	PROPN
dem-1057	37	15	,	,	PUNCT
dem-1057	37	16	2011	2011	NUM
dem-1057	37	17	)	)	PUNCT
dem-1057	37	18	are	be	AUX
dem-1057	37	19	the	the	DET
dem-1057	37	20	same	same	ADJ
dem-1057	37	21	for	for	ADP
dem-1057	37	22	other	other	ADJ
dem-1057	37	23	years	year	NOUN
dem-1057	37	24	.	.	PUNCT
dem-1057	38	1	moreover	moreover	ADV
dem-1057	38	2	,	,	PUNCT
dem-1057	38	3	the	the	DET
dem-1057	38	4	spatio	spatio	PROPN
dem-1057	38	5	-	-	PUNCT
dem-1057	38	6	temporal	temporal	ADJ
dem-1057	38	7	models	model	NOUN
dem-1057	38	8	are	be	AUX
dem-1057	38	9	considered	consider	VERB
dem-1057	38	10	.	.	PUNCT
dem-1057	39	1	in	in	ADP
dem-1057	39	2	the	the	DET
dem-1057	39	3	investigation	investigation	NOUN
dem-1057	39	4	both	both	CCONJ
dem-1057	39	5	the	the	DET
dem-1057	39	6	standard	standard	ADJ
dem-1057	39	7	connectivity	connectivity	NOUN
dem-1057	39	8	matrixes	matrix	NOUN
dem-1057	39	9	and	and	CCONJ
dem-1057	39	10	the	the	DET
dem-1057	39	11	matrixes	matrix	NOUN
dem-1057	39	12	of	of	ADP
dem-1057	39	13	the	the	DET
dem-1057	39	14	economic	economic	ADJ
dem-1057	39	15	distance	distance	NOUN
dem-1057	39	16	are	be	AUX
dem-1057	39	17	used	use	VERB
dem-1057	39	18	.	.	PUNCT
dem-1057	40	1	the	the	DET
dem-1057	40	2	economic	economic	ADJ
dem-1057	40	3	distance	distance	NOUN
dem-1057	40	4	matrixes	matrix	NOUN
dem-1057	40	5	in	in	ADP
dem-1057	40	6	the	the	DET
dem-1057	40	7	spatio	spatio	PROPN
dem-1057	40	8	-	-	PUNCT
dem-1057	40	9	temporal	temporal	ADJ
dem-1057	40	10	models	model	NOUN
dem-1057	40	11	have	have	VERB
dem-1057	40	12	the	the	DET
dem-1057	40	13	dynamic	dynamic	ADJ
dem-1057	40	14	features	feature	NOUN
dem-1057	40	15	in	in	ADP
dem-1057	40	16	the	the	DET
dem-1057	40	17	sense	sense	NOUN
dem-1057	40	18	that	that	SCONJ
dem-1057	40	19	for	for	ADP
dem-1057	40	20	each	each	PRON
dem-1057	40	21	of	of	ADP
dem-1057	40	22	the	the	DET
dem-1057	40	23	years	year	NOUN
dem-1057	40	24	another	another	DET
dem-1057	40	25	connectivity	connectivity	NOUN
dem-1057	40	26	matrix	matrix	NOUN
dem-1057	40	27	is	be	AUX
dem-1057	40	28	applied	apply	VERB
dem-1057	40	29	.	.	PUNCT
dem-1057	41	1	1	1	X
dem-1057	41	2	.	.	X
dem-1057	41	3	quantification	quantification	NOUN
dem-1057	41	4	of	of	ADP
dem-1057	41	5	the	the	DET
dem-1057	41	6	spatial	spatial	ADJ
dem-1057	41	7	connections	connection	NOUN
dem-1057	41	8	and	and	CCONJ
dem-1057	41	9	the	the	DET
dem-1057	41	10	measurement	measurement	NOUN
dem-1057	41	11	of	of	ADP
dem-1057	41	12	the	the	DET
dem-1057	41	13	spatial	spatial	ADJ
dem-1057	41	14	autodependence	autodependence	NOUN
dem-1057	41	15	the	the	DET
dem-1057	41	16	basis	basis	NOUN
dem-1057	41	17	of	of	ADP
dem-1057	41	18	measurement	measurement	NOUN
dem-1057	41	19	of	of	ADP
dem-1057	41	20	the	the	DET
dem-1057	41	21	spatial	spatial	ADJ
dem-1057	41	22	(	(	PUNCT
dem-1057	41	23	auto)dependence	auto)dependence	ADP
dem-1057	41	24	is	be	AUX
dem-1057	41	25	establishing	establish	VERB
dem-1057	41	26	the	the	DET
dem-1057	41	27	connections	connection	NOUN
dem-1057	41	28	among	among	ADP
dem-1057	41	29	spatial	spatial	ADJ
dem-1057	41	30	units	unit	NOUN
dem-1057	41	31	.	.	PUNCT
dem-1057	42	1	the	the	DET
dem-1057	42	2	spatial	spatial	ADJ
dem-1057	42	3	neighbours	neighbour	NOUN
dem-1057	42	4	can	can	AUX
dem-1057	42	5	be	be	AUX
dem-1057	42	6	defined	define	VERB
dem-1057	42	7	in	in	ADP
dem-1057	42	8	a	a	DET
dem-1057	42	9	number	number	NOUN
dem-1057	42	10	of	of	ADP
dem-1057	42	11	ways	way	NOUN
dem-1057	42	12	.	.	PUNCT
dem-1057	43	1	the	the	DET
dem-1057	43	2	spatial	spatial	ADJ
dem-1057	43	3	connections	connection	NOUN
dem-1057	43	4	are	be	AUX
dem-1057	43	5	represented	represent	VERB
dem-1057	43	6	in	in	ADP
dem-1057	43	7	the	the	DET
dem-1057	43	8	form	form	NOUN
dem-1057	43	9	of	of	ADP
dem-1057	43	10	connectivity	connectivity	NOUN
dem-1057	43	11	matrix	matrix	NOUN
dem-1057	43	12	w.	w.	NOUN
dem-1057	43	13	assuming	assume	VERB
dem-1057	43	14	that	that	SCONJ
dem-1057	43	15	there	there	PRON
dem-1057	43	16	are	be	VERB
dem-1057	43	17	n	n	DET
dem-1057	43	18	regions	region	NOUN
dem-1057	43	19	(	(	PUNCT
dem-1057	43	20	spatial	spatial	ADJ
dem-1057	43	21	units	unit	NOUN
dem-1057	43	22	)	)	PUNCT
dem-1057	43	23	,	,	PUNCT
dem-1057	43	24	the	the	DET
dem-1057	43	25	matrix	matrix	NOUN
dem-1057	43	26	has	have	VERB
dem-1057	43	27	as	as	ADV
dem-1057	43	28	many	many	ADJ
dem-1057	43	29	rows	row	NOUN
dem-1057	43	30	and	and	CCONJ
dem-1057	43	31	columns	column	NOUN
dem-1057	43	32	as	as	SCONJ
dem-1057	43	33	there	there	PRON
dem-1057	43	34	are	be	VERB
dem-1057	43	35	the	the	DET
dem-1057	43	36	regions	region	NOUN
dem-1057	43	37	,	,	PUNCT
dem-1057	43	38	i.e.	i.e.	X
dem-1057	43	39	n	n	X
dem-1057	43	40	by	by	ADP
dem-1057	43	41	n	n	PRON
dem-1057	43	42	matrix	matrix	NOUN
dem-1057	43	43	w	w	NOUN
dem-1057	43	44	is	be	AUX
dem-1057	43	45	considered	consider	VERB
dem-1057	43	46	.	.	PUNCT
dem-1057	44	1	each	each	DET
dem-1057	44	2	row	row	NOUN
dem-1057	44	3	of	of	ADP
dem-1057	44	4	the	the	DET
dem-1057	44	5	matrix	matrix	NOUN
dem-1057	44	6	contains	contain	VERB
dem-1057	44	7	non	non	ADJ
dem-1057	44	8	-	-	ADJ
dem-1057	44	9	zero	zero	NUM
dem-1057	44	10	elements	element	NOUN
dem-1057	44	11	in	in	ADP
dem-1057	44	12	columns	column	NOUN
dem-1057	44	13	which	which	PRON
dem-1057	44	14	correspond	correspond	VERB
dem-1057	44	15	to	to	ADP
dem-1057	44	16	the	the	DET
dem-1057	44	17	connected	connected	ADJ
dem-1057	44	18	objects	object	NOUN
dem-1057	44	19	(	(	PUNCT
dem-1057	44	20	the	the	DET
dem-1057	44	21	so	so	ADV
dem-1057	44	22	-	-	PUNCT
dem-1057	44	23	called	call	VERB
dem-1057	44	24	neighbours	neighbour	NOUN
dem-1057	44	25	)	)	PUNCT
dem-1057	44	26	,	,	PUNCT
dem-1057	44	27	according	accord	VERB
dem-1057	44	28	to	to	ADP
dem-1057	44	29	the	the	DET
dem-1057	44	30	received	receive	VERB
dem-1057	44	31	criterion	criterion	NOUN
dem-1057	44	32	.	.	PUNCT
dem-1057	45	1	furthermore	furthermore	ADV
dem-1057	45	2	,	,	PUNCT
dem-1057	45	3	the	the	DET
dem-1057	45	4	given	give	VERB
dem-1057	45	5	object	object	NOUN
dem-1057	45	6	can	can	AUX
dem-1057	45	7	not	not	PART
dem-1057	45	8	be	be	AUX
dem-1057	45	9	connected	connect	VERB
dem-1057	45	10	to	to	ADP
dem-1057	45	11	itself	itself	PRON
dem-1057	45	12	,	,	PUNCT
dem-1057	45	13	i.e.	i.e.	X
dem-1057	45	14	it	it	PRON
dem-1057	45	15	can	can	AUX
dem-1057	45	16	not	not	PART
dem-1057	45	17	be	be	AUX
dem-1057	45	18	a	a	DET
dem-1057	45	19	neighbour	neighbour	NOUN
dem-1057	45	20	of	of	ADP
dem-1057	45	21	itself	itself	PRON
dem-1057	45	22	,	,	PUNCT
dem-1057	45	23	so	so	ADV
dem-1057	45	24	wij	wij	PROPN
dem-1057	45	25	=	=	SYM
dem-1057	45	26	0	0	PROPN
dem-1057	45	27	for	for	ADP
dem-1057	45	28	all	all	DET
dem-1057	45	29	i	i	PRON
dem-1057	45	30	=	=	PUNCT
dem-1057	45	31	j.	j.	PROPN
dem-1057	46	1	thus	thus	ADV
dem-1057	46	2	,	,	PUNCT
dem-1057	46	3	the	the	DET
dem-1057	46	4	diagonal	diagonal	ADJ
dem-1057	46	5	elements	element	NOUN
dem-1057	46	6	of	of	ADP
dem-1057	46	7	w	w	PROPN
dem-1057	46	8	are	be	AUX
dem-1057	46	9	zeros	zero	NOUN
dem-1057	46	10	.	.	PUNCT
dem-1057	47	1	starting	start	VERB
dem-1057	47	2	point	point	NOUN
dem-1057	47	3	in	in	ADP
dem-1057	47	4	establishing	establish	VERB
dem-1057	47	5	the	the	DET
dem-1057	47	6	spatial	spatial	ADJ
dem-1057	47	7	connections	connection	NOUN
dem-1057	47	8	is	be	AUX
dem-1057	47	9	the	the	DET
dem-1057	47	10	binary	binary	ADJ
dem-1057	47	11	matrix	matrix	NOUN
dem-1057	47	12	s	s	PART
dem-1057	47	13	,	,	PUNCT
dem-1057	47	14	with	with	ADP
dem-1057	47	15	elements	element	NOUN
dem-1057	47	16	:	:	PUNCT
dem-1057	47	17			NOUN
dem-1057	47	18			SYM
dem-1057	47	19			NOUN
dem-1057	47	20			NOUN
dem-1057	47	21			NUM
dem-1057	47	22			NOUN
dem-1057	47	23			VERB
dem-1057	47	24			NOUN
dem-1057	47	25			NUM
dem-1057	47	26	,	,	PUNCT
dem-1057	48	1	if,0	if,0	NOUN
dem-1057	48	2	if,1	if,1	NOUN
dem-1057	48	3	inj	inj	NOUN
dem-1057	48	4	inj	inj	NOUN
dem-1057	48	5	sij	sij	PROPN
dem-1057	48	6	(	(	PUNCT
dem-1057	48	7	1	1	X
dem-1057	48	8	)	)	PUNCT
dem-1057	48	9	elżbieta	elżbieta	NOUN
dem-1057	48	10	szulc	szulc	PROPN
dem-1057	48	11	8	8	NUM
dem-1057	48	12	where	where	SCONJ
dem-1057	48	13	n(i	n(i	NOUN
dem-1057	48	14	)	)	PUNCT
dem-1057	48	15	denotes	denote	VERB
dem-1057	48	16	the	the	DET
dem-1057	48	17	set	set	NOUN
dem-1057	48	18	of	of	ADP
dem-1057	48	19	neighbours	neighbour	NOUN
dem-1057	48	20	of	of	ADP
dem-1057	48	21	spatial	spatial	ADJ
dem-1057	48	22	units	unit	NOUN
dem-1057	48	23	i.	i.	NOUN
dem-1057	48	24	the	the	DET
dem-1057	48	25	neighbours	neighbour	NOUN
dem-1057	48	26	usually	usually	ADV
dem-1057	48	27	are	be	AUX
dem-1057	48	28	established	establish	VERB
dem-1057	48	29	according	accord	VERB
dem-1057	48	30	to	to	ADP
dem-1057	48	31	the	the	DET
dem-1057	48	32	common	common	ADJ
dem-1057	48	33	border	border	NOUN
dem-1057	48	34	criterion	criterion	NOUN
dem-1057	48	35	.	.	PUNCT
dem-1057	49	1	then	then	ADV
dem-1057	49	2	the	the	DET
dem-1057	49	3	rows	row	NOUN
dem-1057	49	4	in	in	ADP
dem-1057	49	5	s	s	NOUN
dem-1057	49	6	are	be	AUX
dem-1057	49	7	normalized	normalize	VERB
dem-1057	49	8	,	,	PUNCT
dem-1057	49	9	so	so	SCONJ
dem-1057	49	10	that	that	SCONJ
dem-1057	49	11	the	the	DET
dem-1057	49	12	row	row	NOUN
dem-1057	49	13	sums	sum	NOUN
dem-1057	49	14	equal	equal	ADJ
dem-1057	49	15	1	1	NUM
dem-1057	49	16	,	,	PUNCT
dem-1057	49	17	as	as	ADP
dem-1057	49	18	a	a	DET
dem-1057	49	19	result	result	NOUN
dem-1057	49	20	of	of	ADP
dem-1057	49	21	dividing	divide	VERB
dem-1057	49	22	each	each	DET
dem-1057	49	23	entry	entry	NOUN
dem-1057	49	24	on	on	ADP
dem-1057	49	25	a	a	DET
dem-1057	49	26	row	row	NOUN
dem-1057	49	27	by	by	ADP
dem-1057	49	28	the	the	DET
dem-1057	49	29	sum	sum	NOUN
dem-1057	49	30	of	of	ADP
dem-1057	49	31	the	the	DET
dem-1057	49	32	row	row	NOUN
dem-1057	49	33	values	value	NOUN
dem-1057	49	34	(	(	PUNCT
dem-1057	49	35	the	the	DET
dem-1057	49	36	socalled	socalle	VERB
dem-1057	49	37	row	row	NOUN
dem-1057	49	38	standardization	standardization	NOUN
dem-1057	49	39	to	to	ADP
dem-1057	49	40	one	one	NUM
dem-1057	49	41	)	)	PUNCT
dem-1057	49	42	.	.	PUNCT
dem-1057	50	1	so	so	ADV
dem-1057	50	2	,	,	PUNCT
dem-1057	50	3	if	if	SCONJ
dem-1057	50	4			PROPN
dem-1057	50	5	iddiagd	iddiagd	PROPN
dem-1057	50	6	,	,	PUNCT
dem-1057	50	7	where	where	SCONJ
dem-1057	50	8			X
dem-1057	50	9			NUM
dem-1057	51	1			NOUN
dem-1057	51	2	n	n	PRON
dem-1057	51	3	j	j	NOUN
dem-1057	52	1	ij	ij	INTJ
dem-1057	52	2	i	i	PRON
dem-1057	52	3	s	s	VERB
dem-1057	52	4	d	d	PROPN
dem-1057	52	5	1	1	NUM
dem-1057	52	6	1	1	NUM
dem-1057	52	7	,	,	PUNCT
dem-1057	52	8	i	i	PRON
dem-1057	52	9	=	=	NOUN
dem-1057	52	10	1	1	NUM
dem-1057	52	11	,	,	PUNCT
dem-1057	52	12	2	2	NUM
dem-1057	52	13	,	,	PUNCT
dem-1057	52	14	…	…	PUNCT
dem-1057	52	15	,	,	PUNCT
dem-1057	52	16	n	n	CCONJ
dem-1057	52	17	,	,	PUNCT
dem-1057	52	18	then	then	ADV
dem-1057	52	19	w	w	NOUN
dem-1057	52	20	=	=	PUNCT
dem-1057	52	21	ds	ds	ADJ
dem-1057	52	22	and	and	CCONJ
dem-1057	52	23	1	1	NUM
dem-1057	52	24	1	1	NUM
dem-1057	52	25			NOUN
dem-1057	52	26			NUM
dem-1057	52	27	n	n	NUM
dem-1057	52	28	j	j	PROPN
dem-1057	52	29	ijw	ijw	PROPN
dem-1057	52	30	.	.	PUNCT
dem-1057	53	1	the	the	DET
dem-1057	53	2	weights	weight	NOUN
dem-1057	53	3	wij	wij	X
dem-1057	53	4	which	which	PRON
dem-1057	53	5	are	be	AUX
dem-1057	53	6	established	establish	VERB
dem-1057	53	7	in	in	ADP
dem-1057	53	8	this	this	DET
dem-1057	53	9	way	way	NOUN
dem-1057	53	10	signify	signify	VERB
dem-1057	53	11	that	that	SCONJ
dem-1057	53	12	each	each	DET
dem-1057	53	13	j	j	PROPN
dem-1057	53	14	-	-	PUNCT
dem-1057	53	15	th	th	PROPN
dem-1057	53	16	neighbour	neighbour	NOUN
dem-1057	53	17	of	of	ADP
dem-1057	53	18	the	the	DET
dem-1057	53	19	i	i	PROPN
dem-1057	53	20	-	-	PUNCT
dem-1057	53	21	th	th	X
dem-1057	53	22	spatial	spatial	ADJ
dem-1057	53	23	units	unit	NOUN
dem-1057	53	24	is	be	AUX
dem-1057	53	25	treated	treat	VERB
dem-1057	53	26	identically	identically	ADV
dem-1057	53	27	,	,	PUNCT
dem-1057	53	28	and	and	CCONJ
dem-1057	53	29	the	the	PRON
dem-1057	53	30	greater	great	ADJ
dem-1057	53	31	the	the	DET
dem-1057	53	32	strength	strength	NOUN
dem-1057	53	33	of	of	ADP
dem-1057	53	34	its	its	PRON
dem-1057	53	35	interactions	interaction	NOUN
dem-1057	53	36	with	with	ADP
dem-1057	53	37	the	the	DET
dem-1057	53	38	neighbours	neighbour	NOUN
dem-1057	53	39	is	be	AUX
dem-1057	53	40	,	,	PUNCT
dem-1057	53	41	the	the	DET
dem-1057	53	42	less	less	ADJ
dem-1057	53	43	neighbours	neighbour	NOUN
dem-1057	53	44	it	it	PRON
dem-1057	53	45	has	have	VERB
dem-1057	53	46	.	.	PUNCT
dem-1057	54	1	another	another	PRON
dem-1057	54	2	is	be	AUX
dem-1057	54	3	the	the	DET
dem-1057	54	4	case	case	NOUN
dem-1057	54	5	when	when	SCONJ
dem-1057	54	6	weights	weight	NOUN
dem-1057	54	7	wij	wij	PROPN
dem-1057	54	8	are	be	AUX
dem-1057	54	9	the	the	DET
dem-1057	54	10	functions	function	NOUN
dem-1057	54	11	of	of	ADP
dem-1057	54	12	some	some	DET
dem-1057	54	13	properties	property	NOUN
dem-1057	54	14	of	of	ADP
dem-1057	54	15	cells	cell	NOUN
dem-1057	54	16	of	of	ADP
dem-1057	54	17	the	the	DET
dem-1057	54	18	lattice	lattice	NOUN
dem-1057	54	19	,	,	PUNCT
dem-1057	54	20	e.g.	e.g.	ADV
dem-1057	54	21	of	of	ADP
dem-1057	54	22	the	the	DET
dem-1057	54	23	length	length	NOUN
dem-1057	54	24	of	of	ADP
dem-1057	54	25	the	the	DET
dem-1057	54	26	common	common	ADJ
dem-1057	54	27	border	border	NOUN
dem-1057	54	28	,	,	PUNCT
dem-1057	54	29	of	of	ADP
dem-1057	54	30	the	the	DET
dem-1057	54	31	distance	distance	NOUN
dem-1057	54	32	between	between	ADP
dem-1057	54	33	the	the	DET
dem-1057	54	34	centres	centre	NOUN
dem-1057	54	35	of	of	ADP
dem-1057	54	36	the	the	DET
dem-1057	54	37	regions	region	NOUN
dem-1057	54	38	,	,	PUNCT
dem-1057	54	39	or	or	CCONJ
dem-1057	54	40	of	of	ADP
dem-1057	54	41	other	other	ADJ
dem-1057	54	42	measures	measure	NOUN
dem-1057	54	43	of	of	ADP
dem-1057	54	44	similarity	similarity	NOUN
dem-1057	54	45	between	between	ADP
dem-1057	54	46	the	the	DET
dem-1057	54	47	regions	region	NOUN
dem-1057	54	48	,	,	PUNCT
dem-1057	54	49	e.g.	e.g.	ADV
dem-1057	54	50	of	of	ADP
dem-1057	54	51	the	the	DET
dem-1057	54	52	so	so	ADV
dem-1057	54	53	-	-	PUNCT
dem-1057	54	54	called	call	VERB
dem-1057	54	55	economic	economic	ADJ
dem-1057	54	56	distance	distance	NOUN
dem-1057	54	57	between	between	ADP
dem-1057	54	58	them	they	PRON
dem-1057	54	59	as	as	ADV
dem-1057	54	60	well	well	ADV
dem-1057	54	61	.	.	PUNCT
dem-1057	55	1	various	various	ADJ
dem-1057	55	2	types	type	NOUN
dem-1057	55	3	of	of	ADP
dem-1057	55	4	weights	weight	NOUN
dem-1057	55	5	wij	wij	PROPN
dem-1057	55	6	may	may	AUX
dem-1057	55	7	be	be	AUX
dem-1057	55	8	pointed	point	VERB
dem-1057	55	9	out	out	ADP
dem-1057	55	10	according	accord	VERB
dem-1057	55	11	to	to	ADP
dem-1057	55	12	the	the	DET
dem-1057	55	13	established	establish	VERB
dem-1057	55	14	criteria	criterion	NOUN
dem-1057	55	15	(	(	PUNCT
dem-1057	55	16	see	see	VERB
dem-1057	55	17	haining	haining	PROPN
dem-1057	55	18	,	,	PUNCT
dem-1057	55	19	2005	2005	NUM
dem-1057	55	20	,	,	PUNCT
dem-1057	55	21	p.	p.	NOUN
dem-1057	55	22	83–84	83–84	NUM
dem-1057	55	23	)	)	PUNCT
dem-1057	55	24	.	.	PUNCT
dem-1057	56	1	as	as	ADP
dem-1057	56	2	above	above	ADV
dem-1057	56	3	,	,	PUNCT
dem-1057	56	4	for	for	ADP
dem-1057	56	5	all	all	DET
dem-1057	56	6	units	unit	NOUN
dem-1057	56	7	i	i	PRON
dem-1057	56	8	and	and	CCONJ
dem-1057	56	9	j	j	PROPN
dem-1057	56	10	wij	wij	PROPN
dem-1057	56	11			NUM
dem-1057	56	12	0	0	NUM
dem-1057	56	13	,	,	PUNCT
dem-1057	56	14	when	when	SCONJ
dem-1057	56	15	i	i	PRON
dem-1057	56	16			VERB
dem-1057	56	17	j	j	PROPN
dem-1057	56	18	,	,	PUNCT
dem-1057	56	19	and	and	CCONJ
dem-1057	56	20	wij	wij	X
dem-1057	56	21	=	=	SYM
dem-1057	56	22	0	0	PROPN
dem-1057	56	23	,	,	PUNCT
dem-1057	56	24	when	when	SCONJ
dem-1057	56	25	i	i	PRON
dem-1057	56	26	=	=	PUNCT
dem-1057	56	27	j.	j.	PROPN
dem-1057	56	28	such	such	ADJ
dem-1057	56	29	weights	weight	NOUN
dem-1057	56	30	create	create	VERB
dem-1057	56	31	the	the	DET
dem-1057	56	32	generalized	generalized	ADJ
dem-1057	56	33	matrix	matrix	NOUN
dem-1057	56	34	of	of	ADP
dem-1057	56	35	neighbourhood	neighbourhood	NOUN
dem-1057	56	36	,	,	PUNCT
dem-1057	56	37	which	which	PRON
dem-1057	56	38	is	be	AUX
dem-1057	56	39	row	row	ADV
dem-1057	56	40	standardized	standardized	ADJ
dem-1057	56	41	to	to	ADP
dem-1057	56	42	one	one	NUM
dem-1057	56	43	by	by	ADP
dem-1057	56	44	transforming	transform	VERB
dem-1057	56	45	its	its	PRON
dem-1057	56	46	elements	element	NOUN
dem-1057	56	47	according	accord	VERB
dem-1057	56	48	to	to	ADP
dem-1057	56	49	the	the	DET
dem-1057	56	50	formula	formula	NOUN
dem-1057	56	51			X
dem-1057	57	1			NUM
dem-1057	57	2			PROPN
dem-1057	58	1			NUM
dem-1057	58	2	n	n	CCONJ
dem-1057	58	3	j	j	PROPN
dem-1057	59	1	ij	ij	INTJ
dem-1057	59	2	ij	ij	INTJ
dem-1057	59	3	ij	ij	INTJ
dem-1057	59	4	w	w	PROPN
dem-1057	59	5	w	w	PROPN
dem-1057	59	6	w	w	PROPN
dem-1057	59	7	1	1	NUM
dem-1057	59	8	.	.	PUNCT
dem-1057	60	1	in	in	ADP
dem-1057	60	2	the	the	DET
dem-1057	60	3	paper	paper	NOUN
dem-1057	60	4	the	the	DET
dem-1057	60	5	connections	connection	NOUN
dem-1057	60	6	between	between	ADP
dem-1057	60	7	the	the	DET
dem-1057	60	8	regions	region	NOUN
dem-1057	60	9	will	will	AUX
dem-1057	60	10	be	be	AUX
dem-1057	60	11	defined	define	VERB
dem-1057	60	12	by	by	ADP
dem-1057	60	13	using	use	VERB
dem-1057	60	14	two	two	NUM
dem-1057	60	15	approaches	approach	NOUN
dem-1057	60	16	.	.	PUNCT
dem-1057	61	1	the	the	DET
dem-1057	61	2	first	first	ADJ
dem-1057	61	3	one	one	NOUN
dem-1057	61	4	is	be	AUX
dem-1057	61	5	traditional	traditional	ADJ
dem-1057	61	6	.	.	PUNCT
dem-1057	62	1	in	in	ADP
dem-1057	62	2	it	it	PRON
dem-1057	62	3	the	the	DET
dem-1057	62	4	standard	standard	ADJ
dem-1057	62	5	matrix	matrix	NOUN
dem-1057	62	6	of	of	ADP
dem-1057	62	7	neighbourhood	neighbourhood	NOUN
dem-1057	62	8	with	with	ADP
dem-1057	62	9	the	the	DET
dem-1057	62	10	equal	equal	ADJ
dem-1057	62	11	weights	weight	NOUN
dem-1057	62	12	is	be	AUX
dem-1057	62	13	used	use	VERB
dem-1057	62	14	.	.	PUNCT
dem-1057	63	1	the	the	DET
dem-1057	63	2	second	second	ADJ
dem-1057	63	3	one	one	NOUN
dem-1057	63	4	consists	consist	VERB
dem-1057	63	5	in	in	ADP
dem-1057	63	6	that	that	PRON
dem-1057	63	7	in	in	ADP
dem-1057	63	8	the	the	DET
dem-1057	63	9	matrix	matrix	NOUN
dem-1057	63	10	of	of	ADP
dem-1057	63	11	connections	connection	NOUN
dem-1057	63	12	the	the	DET
dem-1057	63	13	economic	economic	ADJ
dem-1057	63	14	distance	distance	NOUN
dem-1057	63	15	(	(	PUNCT
dem-1057	63	16	the	the	DET
dem-1057	63	17	essence	essence	NOUN
dem-1057	63	18	of	of	ADP
dem-1057	63	19	which	which	PRON
dem-1057	63	20	is	be	AUX
dem-1057	63	21	to	to	PART
dem-1057	63	22	establish	establish	VERB
dem-1057	63	23	similarity	similarity	NOUN
dem-1057	63	24	of	of	ADP
dem-1057	63	25	the	the	DET
dem-1057	63	26	regions	region	NOUN
dem-1057	63	27	on	on	ADP
dem-1057	63	28	the	the	DET
dem-1057	63	29	basis	basis	NOUN
dem-1057	63	30	of	of	ADP
dem-1057	63	31	the	the	DET
dem-1057	63	32	value	value	NOUN
dem-1057	63	33	of	of	ADP
dem-1057	63	34	the	the	DET
dem-1057	63	35	analyzed	analyze	VERB
dem-1057	63	36	economic	economic	ADJ
dem-1057	63	37	process	process	NOUN
dem-1057	63	38	and	and	CCONJ
dem-1057	63	39	the	the	DET
dem-1057	63	40	economic	economic	ADJ
dem-1057	63	41	processes	process	NOUN
dem-1057	63	42	which	which	PRON
dem-1057	63	43	determine	determine	VERB
dem-1057	63	44	its	its	PRON
dem-1057	63	45	changeability	changeability	NOUN
dem-1057	63	46	)	)	PUNCT
dem-1057	63	47	is	be	AUX
dem-1057	63	48	taken	take	VERB
dem-1057	63	49	into	into	ADP
dem-1057	63	50	consideration	consideration	NOUN
dem-1057	63	51	.	.	PUNCT
dem-1057	64	1	in	in	ADP
dem-1057	64	2	the	the	DET
dem-1057	64	3	general	general	ADJ
dem-1057	64	4	form	form	NOUN
dem-1057	64	5	the	the	DET
dem-1057	64	6	economic	economic	ADJ
dem-1057	64	7	distance	distance	NOUN
dem-1057	64	8	between	between	ADP
dem-1057	64	9	regions	region	NOUN
dem-1057	64	10	i	i	PRON
dem-1057	64	11	and	and	CCONJ
dem-1057	64	12	j	j	PROPN
dem-1057	64	13	is	be	AUX
dem-1057	64	14	expressed	express	VERB
dem-1057	64	15	as	as	SCONJ
dem-1057	64	16	follows	follow	VERB
dem-1057	64	17	(	(	PUNCT
dem-1057	64	18	see	see	VERB
dem-1057	64	19	pietrzak	pietrzak	NOUN
dem-1057	64	20	,	,	PUNCT
dem-1057	64	21	2010	2010	NUM
dem-1057	64	22	,	,	PUNCT
dem-1057	64	23	p.	p.	NOUN
dem-1057	64	24	75	75	NUM
dem-1057	64	25	):	):	PUNCT
dem-1057	64	26			NUM
dem-1057	64	27			NUM
dem-1057	64	28			NUM
dem-1057	64	29			PROPN
dem-1057	64	30			NUM
dem-1057	64	31			NUM
dem-1057	64	32			NUM
dem-1057	64	33			NUM
dem-1057	64	34			NOUN
dem-1057	65	1			PRON
dem-1057	66	1			PROPN
dem-1057	66	2			ADJ
dem-1057	66	3			PROPN
dem-1057	66	4			PROPN
dem-1057	66	5			VERB
dem-1057	66	6			PROPN
dem-1057	66	7			VERB
dem-1057	66	8			PROPN
dem-1057	66	9			PRON
dem-1057	66	10			X
dem-1057	66	11			VERB
dem-1057	66	12			NUM
dem-1057	66	13			INTJ
dem-1057	66	14			NUM
dem-1057	66	15			SYM
dem-1057	66	16			PROPN
dem-1057	66	17			PROPN
dem-1057	66	18			ADV
dem-1057	66	19	,	,	PUNCT
dem-1057	66	20	for,0	for,0	PROPN
dem-1057	66	21	for,||	for,||	PROPN
dem-1057	66	22	1	1	NUM
dem-1057	66	23	1	1	NUM
dem-1057	66	24	...	...	PUNCT
dem-1057	66	25	||	||	NUM
dem-1057	67	1	1	1	NUM
dem-1057	67	2	1	1	NUM
dem-1057	67	3	||	||	NUM
dem-1057	67	4	1	1	NUM
dem-1057	67	5	1	1	NUM
dem-1057	67	6	||	||	NUM
dem-1057	67	7	0	0	NUM
dem-1057	67	8	,	,	PUNCT
dem-1057	67	9	,	,	PUNCT
dem-1057	67	10	0	0	NUM
dem-1057	67	11	,	,	PUNCT
dem-1057	67	12	2,2	2,2	NUM
dem-1057	67	13	20	20	NUM
dem-1057	67	14	,	,	PUNCT
dem-1057	67	15	1,1	1,1	NUM
dem-1057	67	16	1	1	NUM
dem-1057	67	17	1	1	NUM
dem-1057	67	18	2	2	NUM
dem-1057	67	19	3	3	NUM
dem-1057	67	20	1	1	NUM
dem-1057	67	21	21	21	NUM
dem-1057	67	22	ji	ji	NOUN
dem-1057	67	23	jixx	jixx	PROPN
dem-1057	67	24	k	k	PROPN
dem-1057	68	1	xx	xx	NUM
dem-1057	69	1	k	k	NOUN
dem-1057	69	2	xx	xx	NUM
dem-1057	70	1	k	k	NOUN
dem-1057	70	2	yy	yy	PROPN
dem-1057	70	3	d	d	PROPN
dem-1057	70	4	n	n	PROPN
dem-1057	70	5	n	n	PROPN
dem-1057	70	6	k	k	PROPN
dem-1057	70	7	z	z	PROPN
dem-1057	70	8	ztnjztni	ztnjztni	PROPN
dem-1057	70	9	n	n	PROPN
dem-1057	70	10	k	k	PROPN
dem-1057	70	11	z	z	PROPN
dem-1057	70	12	ztjzti	ztjzti	PROPN
dem-1057	71	1	k	k	PROPN
dem-1057	71	2	z	z	NOUN
dem-1057	71	3	ztjztiji	ztjztiji	NOUN
dem-1057	71	4	ij	ij	ADP
dem-1057	71	5			NUM
dem-1057	71	6			NOUN
dem-1057	71	7	(	(	PUNCT
dem-1057	71	8	2	2	NUM
dem-1057	71	9	)	)	PUNCT
dem-1057	71	10	identification	identification	NOUN
dem-1057	71	11	of	of	ADP
dem-1057	71	12	the	the	DET
dem-1057	71	13	structures	structure	NOUN
dem-1057	71	14	of	of	ADP
dem-1057	71	15	spatial	spatial	ADJ
dem-1057	71	16	and	and	CCONJ
dem-1057	71	17	spatio	spatio	ADJ
dem-1057	71	18	-	-	PUNCT
dem-1057	71	19	temporal	temporal	ADJ
dem-1057	71	20	processes	process	NOUN
dem-1057	71	21	…	…	PUNCT
dem-1057	71	22	9	9	NUM
dem-1057	71	23	where	where	SCONJ
dem-1057	71	24	:	:	PUNCT
dem-1057	71	25	yi	yi	PROPN
dem-1057	71	26	,	,	PUNCT
dem-1057	71	27	yj	yj	PROPN
dem-1057	71	28	–	–	PUNCT
dem-1057	71	29	values	value	NOUN
dem-1057	71	30	of	of	ADP
dem-1057	71	31	the	the	DET
dem-1057	71	32	investigated	investigate	VERB
dem-1057	71	33	spatial	spatial	ADJ
dem-1057	71	34	economic	economic	ADJ
dem-1057	71	35	process	process	NOUN
dem-1057	71	36	at	at	ADP
dem-1057	71	37	spatial	spatial	ADJ
dem-1057	71	38	location	location	NOUN
dem-1057	71	39	i	i	PRON
dem-1057	71	40	and	and	CCONJ
dem-1057	71	41	j	j	PROPN
dem-1057	71	42	respectively	respectively	ADV
dem-1057	71	43	;	;	PUNCT
dem-1057	71	44	xli	xli	PROPN
dem-1057	71	45	,	,	PUNCT
dem-1057	71	46	xlj	xlj	X
dem-1057	71	47	(	(	PUNCT
dem-1057	71	48	l	l	NOUN
dem-1057	71	49	=	=	SYM
dem-1057	71	50	1	1	NUM
dem-1057	71	51	,	,	PUNCT
dem-1057	71	52	2	2	NUM
dem-1057	71	53	,	,	PUNCT
dem-1057	71	54	…	…	PUNCT
dem-1057	71	55	,	,	PUNCT
dem-1057	71	56	n	n	CCONJ
dem-1057	71	57	)	)	PUNCT
dem-1057	71	58	–	–	PUNCT
dem-1057	71	59	values	value	NOUN
dem-1057	71	60	of	of	ADP
dem-1057	71	61	explanatory	explanatory	ADJ
dem-1057	71	62	processes	process	NOUN
dem-1057	71	63	,	,	PUNCT
dem-1057	71	64	which	which	PRON
dem-1057	71	65	determine	determine	VERB
dem-1057	71	66	changeability	changeability	NOUN
dem-1057	71	67	of	of	ADP
dem-1057	71	68	the	the	DET
dem-1057	71	69	explained	explain	VERB
dem-1057	71	70	process	process	NOUN
dem-1057	71	71	at	at	ADP
dem-1057	71	72	spatial	spatial	ADJ
dem-1057	71	73	locations	location	NOUN
dem-1057	71	74	as	as	ADP
dem-1057	71	75	above	above	ADV
dem-1057	71	76	;	;	PUNCT
dem-1057	71	77	k1	k1	NOUN
dem-1057	71	78	,	,	PUNCT
dem-1057	71	79	k2	k2	NOUN
dem-1057	71	80	,	,	PUNCT
dem-1057	71	81	…	…	PUNCT
dem-1057	71	82	,	,	PUNCT
dem-1057	71	83	kn	kn	PROPN
dem-1057	71	84	–	–	PUNCT
dem-1057	71	85	constants	constant	NOUN
dem-1057	71	86	denoting	denote	VERB
dem-1057	71	87	time	time	NOUN
dem-1057	71	88	lags	lag	VERB
dem-1057	71	89	for	for	ADP
dem-1057	71	90	the	the	DET
dem-1057	71	91	considered	consider	VERB
dem-1057	71	92	processes	process	NOUN
dem-1057	71	93	;	;	PUNCT
dem-1057	71	94	1	1	NOUN
dem-1057	71	95	,	,	PUNCT
dem-1057	71	96	2	2	ADJ
dem-1057	71	97	,	,	PUNCT
dem-1057	71	98	…	…	PUNCT
dem-1057	71	99	,	,	PUNCT
dem-1057	71	100	n+1	n+1	NOUN
dem-1057	71	101	–	–	PUNCT
dem-1057	71	102	normalizing	normalize	VERB
dem-1057	71	103	constants	constant	NOUN
dem-1057	71	104	.	.	PUNCT
dem-1057	72	1	in	in	ADP
dem-1057	72	2	this	this	DET
dem-1057	72	3	approach	approach	NOUN
dem-1057	72	4	,	,	PUNCT
dem-1057	72	5	the	the	DET
dem-1057	72	6	elements	element	NOUN
dem-1057	72	7	wij	wij	NOUN
dem-1057	72	8	of	of	ADP
dem-1057	72	9	the	the	DET
dem-1057	72	10	matrix	matrix	NOUN
dem-1057	72	11	of	of	ADP
dem-1057	72	12	neighbourhood	neighbourhood	NOUN
dem-1057	72	13	will	will	AUX
dem-1057	72	14	be	be	AUX
dem-1057	72	15	as	as	SCONJ
dem-1057	72	16	follows	follow	VERB
dem-1057	72	17	:	:	PUNCT
dem-1057	73	1			NOUN
dem-1057	73	2			NUM
dem-1057	73	3			NUM
dem-1057	73	4			NOUN
dem-1057	73	5			PRON
dem-1057	73	6			NOUN
dem-1057	73	7			NUM
dem-1057	73	8	.	.	PUNCT
dem-1057	74	1	,	,	PUNCT
dem-1057	74	2	1	1	X
dem-1057	74	3	ji	ji	X
dem-1057	74	4	ji	ji	PROPN
dem-1057	74	5	dw	dw	PROPN
dem-1057	74	6	ijij	ijij	PROPN
dem-1057	74	7	if0	if0	PROPN
dem-1057	74	8	,	,	PUNCT
dem-1057	74	9	if	if	SCONJ
dem-1057	74	10	(	(	PUNCT
dem-1057	74	11	3	3	X
dem-1057	74	12	)	)	PUNCT
dem-1057	74	13	finally	finally	ADV
dem-1057	74	14	,	,	PUNCT
dem-1057	74	15	as	as	ADP
dem-1057	74	16	a	a	DET
dem-1057	74	17	result	result	NOUN
dem-1057	74	18	of	of	ADP
dem-1057	74	19	row	row	NOUN
dem-1057	74	20	standardization	standardization	NOUN
dem-1057	74	21	to	to	ADP
dem-1057	74	22	one	one	NUM
dem-1057	74	23	the	the	DET
dem-1057	74	24	matrix	matrix	NOUN
dem-1057	74	25	of	of	ADP
dem-1057	74	26	neighbourhood	neighbourhood	NOUN
dem-1057	74	27	based	base	VERB
dem-1057	74	28	on	on	ADP
dem-1057	74	29	the	the	DET
dem-1057	74	30	economic	economic	ADJ
dem-1057	74	31	distance	distance	NOUN
dem-1057	74	32	is	be	AUX
dem-1057	74	33	obtained	obtain	VERB
dem-1057	74	34	.	.	PUNCT
dem-1057	75	1	the	the	DET
dem-1057	75	2	more	more	ADV
dem-1057	75	3	exact	exact	ADJ
dem-1057	75	4	,	,	PUNCT
dem-1057	75	5	because	because	SCONJ
dem-1057	75	6	based	base	VERB
dem-1057	75	7	on	on	ADP
dem-1057	75	8	the	the	DET
dem-1057	75	9	economic	economic	ADJ
dem-1057	75	10	criterion	criterion	NOUN
dem-1057	75	11	,	,	PUNCT
dem-1057	75	12	measurement	measurement	NOUN
dem-1057	75	13	of	of	ADP
dem-1057	75	14	the	the	DET
dem-1057	75	15	spatial	spatial	ADJ
dem-1057	75	16	autodependence	autodependence	NOUN
dem-1057	75	17	should	should	AUX
dem-1057	75	18	effect	effect	VERB
dem-1057	75	19	more	more	ADV
dem-1057	75	20	precise	precise	ADJ
dem-1057	75	21	filtration	filtration	NOUN
dem-1057	75	22	of	of	ADP
dem-1057	75	23	the	the	DET
dem-1057	75	24	investigated	investigate	VERB
dem-1057	75	25	processes	process	NOUN
dem-1057	75	26	(	(	PUNCT
dem-1057	75	27	explained	explain	VERB
dem-1057	75	28	and	and	CCONJ
dem-1057	75	29	explanatory	explanatory	ADJ
dem-1057	75	30	)	)	PUNCT
dem-1057	75	31	,	,	PUNCT
dem-1057	75	32	and	and	CCONJ
dem-1057	75	33	as	as	ADP
dem-1057	75	34	a	a	DET
dem-1057	75	35	consequence	consequence	NOUN
dem-1057	75	36	,	,	PUNCT
dem-1057	75	37	lead	lead	VERB
dem-1057	75	38	to	to	ADP
dem-1057	75	39	the	the	DET
dem-1057	75	40	appropriate	appropriate	ADJ
dem-1057	75	41	estimation	estimation	NOUN
dem-1057	75	42	of	of	ADP
dem-1057	75	43	the	the	DET
dem-1057	75	44	regression	regression	NOUN
dem-1057	75	45	dependence	dependence	NOUN
dem-1057	75	46	.	.	PUNCT
dem-1057	76	1	in	in	ADP
dem-1057	76	2	other	other	ADJ
dem-1057	76	3	words	word	NOUN
dem-1057	76	4	,	,	PUNCT
dem-1057	76	5	the	the	DET
dem-1057	76	6	more	more	ADV
dem-1057	76	7	precise	precise	ADJ
dem-1057	76	8	description	description	NOUN
dem-1057	76	9	of	of	ADP
dem-1057	76	10	the	the	DET
dem-1057	76	11	spatial	spatial	ADJ
dem-1057	76	12	autodependence	autodependence	NOUN
dem-1057	76	13	the	the	DET
dem-1057	76	14	more	more	ADV
dem-1057	76	15	efficient	efficient	ADJ
dem-1057	76	16	filtration	filtration	NOUN
dem-1057	76	17	of	of	ADP
dem-1057	76	18	the	the	DET
dem-1057	76	19	processes	process	NOUN
dem-1057	76	20	and	and	CCONJ
dem-1057	76	21	the	the	DET
dem-1057	76	22	measurement	measurement	NOUN
dem-1057	76	23	of	of	ADP
dem-1057	76	24	the	the	DET
dem-1057	76	25	dependence	dependence	NOUN
dem-1057	76	26	between	between	ADP
dem-1057	76	27	the	the	DET
dem-1057	76	28	processes	process	NOUN
dem-1057	76	29	takes	take	VERB
dem-1057	76	30	place	place	NOUN
dem-1057	76	31	at	at	ADP
dem-1057	76	32	the	the	DET
dem-1057	76	33	level	level	NOUN
dem-1057	76	34	of	of	ADP
dem-1057	76	35	the	the	DET
dem-1057	76	36	data	datum	NOUN
dem-1057	76	37	which	which	PRON
dem-1057	76	38	are	be	AUX
dem-1057	76	39	more	more	ADV
dem-1057	76	40	and	and	CCONJ
dem-1057	76	41	more	more	ADV
dem-1057	76	42	cleaned	clean	VERB
dem-1057	76	43	from	from	ADP
dem-1057	76	44	the	the	DET
dem-1057	76	45	autodependence	autodependence	NOUN
dem-1057	76	46	.	.	PUNCT
dem-1057	77	1	the	the	DET
dem-1057	77	2	pure	pure	ADJ
dem-1057	77	3	dependence	dependence	NOUN
dem-1057	77	4	between	between	ADP
dem-1057	77	5	the	the	DET
dem-1057	77	6	processes	process	NOUN
dem-1057	77	7	would	would	AUX
dem-1057	77	8	be	be	AUX
dem-1057	77	9	the	the	DET
dem-1057	77	10	same	same	ADJ
dem-1057	77	11	,	,	PUNCT
dem-1057	77	12	apart	apart	ADV
dem-1057	77	13	from	from	ADP
dem-1057	77	14	the	the	DET
dem-1057	77	15	level	level	NOUN
dem-1057	77	16	of	of	ADP
dem-1057	77	17	the	the	DET
dem-1057	77	18	data	data	NOUN
dem-1057	77	19	aggregation	aggregation	NOUN
dem-1057	77	20	.	.	PUNCT
dem-1057	78	1	in	in	ADP
dem-1057	78	2	the	the	DET
dem-1057	78	3	approach	approach	NOUN
dem-1057	78	4	proposed	propose	VERB
dem-1057	78	5	the	the	DET
dem-1057	78	6	effect	effect	NOUN
dem-1057	78	7	of	of	ADP
dem-1057	78	8	spatial	spatial	ADJ
dem-1057	78	9	aggregation	aggregation	NOUN
dem-1057	78	10	of	of	ADP
dem-1057	78	11	the	the	DET
dem-1057	78	12	data	datum	NOUN
dem-1057	78	13	as	as	ADP
dem-1057	78	14	the	the	DET
dem-1057	78	15	change	change	NOUN
dem-1057	78	16	of	of	ADP
dem-1057	78	17	the	the	DET
dem-1057	78	18	regression	regression	NOUN
dem-1057	78	19	parameter	parameter	NOUN
dem-1057	78	20	in	in	ADP
dem-1057	78	21	the	the	DET
dem-1057	78	22	spatial	spatial	ADJ
dem-1057	78	23	model	model	NOUN
dem-1057	78	24	will	will	AUX
dem-1057	78	25	be	be	AUX
dem-1057	78	26	not	not	PART
dem-1057	78	27	eliminated	eliminate	VERB
dem-1057	78	28	,	,	PUNCT
dem-1057	78	29	because	because	SCONJ
dem-1057	78	30	the	the	DET
dem-1057	78	31	aggregated	aggregate	VERB
dem-1057	78	32	matrix	matrix	NOUN
dem-1057	78	33	of	of	ADP
dem-1057	78	34	neighbourhood	neighbourhood	NOUN
dem-1057	78	35	has	have	AUX
dem-1057	78	36	still	still	ADV
dem-1057	78	37	referred	refer	VERB
dem-1057	78	38	to	to	ADP
dem-1057	78	39	another	another	DET
dem-1057	78	40	one	one	NOUN
dem-1057	78	41	than	than	ADP
dem-1057	78	42	before	before	ADP
dem-1057	78	43	aggregation	aggregation	NOUN
dem-1057	78	44	of	of	ADP
dem-1057	78	45	the	the	DET
dem-1057	78	46	data	datum	NOUN
dem-1057	78	47	configuration	configuration	NOUN
dem-1057	78	48	.	.	PUNCT
dem-1057	79	1	2	2	X
dem-1057	79	2	.	.	X
dem-1057	79	3	empirical	empirical	ADJ
dem-1057	79	4	example	example	NOUN
dem-1057	79	5	the	the	DET
dem-1057	79	6	dependence	dependence	NOUN
dem-1057	79	7	between	between	ADP
dem-1057	79	8	the	the	DET
dem-1057	79	9	unemployment	unemployment	NOUN
dem-1057	79	10	rate	rate	NOUN
dem-1057	79	11	and	and	CCONJ
dem-1057	79	12	investment	investment	NOUN
dem-1057	79	13	outlays	outlay	NOUN
dem-1057	79	14	of	of	ADP
dem-1057	79	15	enterprises	enterprise	NOUN
dem-1057	79	16	(	(	PUNCT
dem-1057	79	17	in	in	ADP
dem-1057	79	18	pln	pln	PROPN
dem-1057	79	19	)	)	PUNCT
dem-1057	79	20	in	in	ADP
dem-1057	79	21	poland	poland	PROPN
dem-1057	79	22	in	in	ADP
dem-1057	79	23	years	year	NOUN
dem-1057	79	24	2004–2009	2004–2009	NUM
dem-1057	79	25	across	across	ADP
dem-1057	79	26	poviats	poviat	NOUN
dem-1057	79	27	(	(	PUNCT
dem-1057	79	28	districts	district	NOUN
dem-1057	79	29	)	)	PUNCT
dem-1057	79	30	and	and	CCONJ
dem-1057	79	31	sub	sub	NOUN
dem-1057	79	32	-	-	NOUN
dem-1057	79	33	regions	region	NOUN
dem-1057	79	34	was	be	AUX
dem-1057	79	35	investigated	investigate	VERB
dem-1057	79	36	.	.	PUNCT
dem-1057	80	1	the	the	DET
dem-1057	80	2	data	datum	NOUN
dem-1057	80	3	are	be	AUX
dem-1057	80	4	from	from	ADP
dem-1057	80	5	the	the	DET
dem-1057	80	6	internet	internet	NOUN
dem-1057	80	7	source	source	NOUN
dem-1057	80	8	:	:	PUNCT
dem-1057	80	9	http://www.stat.gov.pl	http://www.stat.gov.pl	NUM
dem-1057	80	10	.	.	PUNCT
dem-1057	81	1	the	the	DET
dem-1057	81	2	conception	conception	NOUN
dem-1057	81	3	of	of	ADP
dem-1057	81	4	the	the	DET
dem-1057	81	5	spatial	spatial	ADJ
dem-1057	81	6	and	and	CCONJ
dem-1057	81	7	spatio	spatio	ADJ
dem-1057	81	8	-	-	PUNCT
dem-1057	81	9	temporal	temporal	ADJ
dem-1057	81	10	quasicongruent	quasicongruent	ADJ
dem-1057	81	11	model	model	NOUN
dem-1057	81	12	was	be	AUX
dem-1057	81	13	used	use	VERB
dem-1057	81	14	.	.	PUNCT
dem-1057	82	1	the	the	DET
dem-1057	82	2	trend	trend	NOUN
dem-1057	82	3	-	-	PUNCT
dem-1057	82	4	autoregressive	autoregressive	ADJ
dem-1057	82	5	structures	structure	NOUN
dem-1057	82	6	of	of	ADP
dem-1057	82	7	the	the	DET
dem-1057	82	8	individual	individual	ADJ
dem-1057	82	9	processes	process	NOUN
dem-1057	82	10	at	at	ADP
dem-1057	82	11	the	the	DET
dem-1057	82	12	both	both	DET
dem-1057	82	13	levels	level	NOUN
dem-1057	82	14	of	of	ADP
dem-1057	82	15	the	the	DET
dem-1057	82	16	data	data	NOUN
dem-1057	82	17	aggregation	aggregation	NOUN
dem-1057	82	18	were	be	AUX
dem-1057	82	19	investigated	investigate	VERB
dem-1057	82	20	by	by	ADP
dem-1057	82	21	constructing	construct	VERB
dem-1057	82	22	the	the	DET
dem-1057	82	23	appropriate	appropriate	ADJ
dem-1057	82	24	fundamental	fundamental	ADJ
dem-1057	82	25	models4	models4	NOUN
dem-1057	82	26	.	.	PUNCT
dem-1057	83	1	for	for	ADP
dem-1057	83	2	describing	describe	VERB
dem-1057	83	3	the	the	DET
dem-1057	83	4	trend	trend	NOUN
dem-1057	83	5	structure	structure	NOUN
dem-1057	83	6	the	the	DET
dem-1057	83	7	models	model	NOUN
dem-1057	83	8	of	of	ADP
dem-1057	83	9	the	the	DET
dem-1057	83	10	spatial	spatial	ADJ
dem-1057	83	11	and	and	CCONJ
dem-1057	83	12	spatio	spatio	ADJ
dem-1057	83	13	-	-	PUNCT
dem-1057	83	14	temporal	temporal	ADJ
dem-1057	83	15	trend	trend	NOUN
dem-1057	83	16	were	be	AUX
dem-1057	83	17	used	use	VERB
dem-1057	83	18	.	.	PUNCT
dem-1057	84	1	the	the	DET
dem-1057	84	2	autoregressive	autoregressive	ADJ
dem-1057	84	3	structure	structure	NOUN
dem-1057	84	4	was	be	AUX
dem-1057	84	5	defined	define	VERB
dem-1057	84	6	in	in	ADP
dem-1057	84	7	two	two	NUM
dem-1057	84	8	versions	version	NOUN
dem-1057	84	9	,	,	PUNCT
dem-1057	84	10	with	with	ADP
dem-1057	84	11	the	the	DET
dem-1057	84	12	use	use	NOUN
dem-1057	84	13	of	of	ADP
dem-1057	84	14	(	(	PUNCT
dem-1057	84	15	1	1	X
dem-1057	84	16	)	)	PUNCT
dem-1057	84	17	the	the	DET
dem-1057	84	18	4	4	NUM
dem-1057	84	19	the	the	DET
dem-1057	84	20	fundamental	fundamental	ADJ
dem-1057	84	21	model	model	NOUN
dem-1057	84	22	denotes	denote	NOUN
dem-1057	84	23	here	here	ADV
dem-1057	84	24	the	the	DET
dem-1057	84	25	model	model	NOUN
dem-1057	84	26	describing	describe	VERB
dem-1057	84	27	the	the	DET
dem-1057	84	28	componential	componential	ADJ
dem-1057	84	29	structure	structure	NOUN
dem-1057	84	30	of	of	ADP
dem-1057	84	31	the	the	DET
dem-1057	84	32	spatial	spatial	ADJ
dem-1057	84	33	and	and	CCONJ
dem-1057	84	34	spatio	spatio	ADJ
dem-1057	84	35	-	-	PUNCT
dem-1057	84	36	temporal	temporal	ADJ
dem-1057	84	37	process	process	NOUN
dem-1057	84	38	.	.	PUNCT
dem-1057	85	1	the	the	DET
dem-1057	85	2	considerations	consideration	NOUN
dem-1057	85	3	are	be	AUX
dem-1057	85	4	accompanied	accompany	VERB
dem-1057	85	5	by	by	ADP
dem-1057	85	6	the	the	DET
dem-1057	85	7	foundation	foundation	NOUN
dem-1057	85	8	,	,	PUNCT
dem-1057	85	9	that	that	SCONJ
dem-1057	85	10	in	in	ADP
dem-1057	85	11	economic	economic	ADJ
dem-1057	85	12	processes	process	NOUN
dem-1057	85	13	at	at	ADV
dem-1057	85	14	least	least	ADV
dem-1057	85	15	two	two	NUM
dem-1057	85	16	components	component	NOUN
dem-1057	85	17	are	be	AUX
dem-1057	85	18	potentially	potentially	ADV
dem-1057	85	19	present	present	ADJ
dem-1057	85	20	:	:	PUNCT
dem-1057	85	21	the	the	DET
dem-1057	85	22	trend	trend	NOUN
dem-1057	85	23	and	and	CCONJ
dem-1057	85	24	autoregressive	autoregressive	ADJ
dem-1057	85	25	connections	connection	NOUN
dem-1057	85	26	.	.	PUNCT
dem-1057	86	1	elżbieta	elżbieta	PROPN
dem-1057	86	2	szulc	szulc	PROPN
dem-1057	86	3	10	10	NUM
dem-1057	86	4	standard	standard	ADJ
dem-1057	86	5	matrix	matrix	NOUN
dem-1057	86	6	with	with	ADP
dem-1057	86	7	the	the	DET
dem-1057	86	8	equal	equal	ADJ
dem-1057	86	9	weights	weight	NOUN
dem-1057	86	10	–	–	PUNCT
dem-1057	86	11	variant	variant	NOUN
dem-1057	86	12	i	i	PRON
dem-1057	86	13	and	and	CCONJ
dem-1057	86	14	(	(	PUNCT
dem-1057	86	15	2	2	X
dem-1057	86	16	)	)	PUNCT
dem-1057	86	17	the	the	DET
dem-1057	86	18	matrix	matrix	NOUN
dem-1057	86	19	of	of	ADP
dem-1057	86	20	the	the	DET
dem-1057	86	21	economic	economic	ADJ
dem-1057	86	22	distance	distance	NOUN
dem-1057	86	23	(	(	PUNCT
dem-1057	86	24	different	different	ADJ
dem-1057	86	25	weights	weight	NOUN
dem-1057	86	26	)	)	PUNCT
dem-1057	86	27	–	–	PUNCT
dem-1057	86	28	variant	variant	PROPN
dem-1057	86	29	ii	ii	PROPN
dem-1057	86	30	.	.	PUNCT
dem-1057	87	1	then	then	ADV
dem-1057	87	2	the	the	DET
dem-1057	87	3	quasi	quasi	ADJ
dem-1057	87	4	-	-	ADJ
dem-1057	87	5	congruent	congruent	ADJ
dem-1057	87	6	models	model	NOUN
dem-1057	87	7	describing	describe	VERB
dem-1057	87	8	the	the	DET
dem-1057	87	9	dependence	dependence	NOUN
dem-1057	87	10	between	between	ADP
dem-1057	87	11	the	the	DET
dem-1057	87	12	investigated	investigate	VERB
dem-1057	87	13	processes	process	NOUN
dem-1057	87	14	were	be	AUX
dem-1057	87	15	built	build	VERB
dem-1057	87	16	and	and	CCONJ
dem-1057	87	17	the	the	DET
dem-1057	87	18	obtained	obtain	VERB
dem-1057	87	19	results	result	NOUN
dem-1057	87	20	were	be	AUX
dem-1057	87	21	compared	compare	VERB
dem-1057	87	22	.	.	PUNCT
dem-1057	88	1	for	for	ADP
dem-1057	88	2	the	the	DET
dem-1057	88	3	investigated	investigate	VERB
dem-1057	88	4	processes	process	NOUN
dem-1057	88	5	the	the	DET
dem-1057	88	6	following	follow	VERB
dem-1057	88	7	symbols	symbol	NOUN
dem-1057	88	8	were	be	AUX
dem-1057	88	9	taken	take	VERB
dem-1057	88	10	:	:	PUNCT
dem-1057	88	11			NOUN
dem-1057	88	12	pty	pty	ADJ
dem-1057	88	13	–	–	PUNCT
dem-1057	88	14	spatial	spatial	ADJ
dem-1057	88	15	process	process	NOUN
dem-1057	88	16	of	of	ADP
dem-1057	88	17	unemployment	unemployment	NOUN
dem-1057	88	18	(	(	PUNCT
dem-1057	88	19	unemployment	unemployment	NOUN
dem-1057	88	20	rate	rate	NOUN
dem-1057	88	21	in	in	ADP
dem-1057	88	22	the	the	DET
dem-1057	88	23	region	region	NOUN
dem-1057	88	24	at	at	ADP
dem-1057	88	25	spatial	spatial	ADJ
dem-1057	88	26	location	location	NOUN
dem-1057	88	27	p	p	PROPN
dem-1057	88	28	=	=	PUNCT
dem-1057	88	29	[	[	X
dem-1057	88	30	p1	p1	NOUN
dem-1057	88	31	,	,	PUNCT
dem-1057	88	32	p2	p2	X
dem-1057	88	33	]	]	PUNCT
dem-1057	88	34	in	in	ADP
dem-1057	88	35	established	establish	VERB
dem-1057	88	36	year	year	NOUN
dem-1057	88	37	t	t	PROPN
dem-1057	88	38	)	)	PUNCT
dem-1057	88	39	,	,	PUNCT
dem-1057	88	40			PROPN
dem-1057	88	41	ptx	ptx	INTJ
dem-1057	88	42	–	–	PUNCT
dem-1057	88	43	spatial	spatial	ADJ
dem-1057	88	44	process	process	NOUN
dem-1057	88	45	of	of	ADP
dem-1057	88	46	investments	investment	NOUN
dem-1057	88	47	(	(	PUNCT
dem-1057	88	48	investment	investment	NOUN
dem-1057	88	49	outlays	outlay	NOUN
dem-1057	88	50	per	per	ADP
dem-1057	88	51	capita	capita	NOUN
dem-1057	88	52	in	in	ADP
dem-1057	88	53	the	the	DET
dem-1057	88	54	region	region	NOUN
dem-1057	88	55	at	at	ADP
dem-1057	88	56	spatial	spatial	ADJ
dem-1057	88	57	location	location	NOUN
dem-1057	88	58	and	and	CCONJ
dem-1057	88	59	time	time	NOUN
dem-1057	88	60	–	–	PUNCT
dem-1057	88	61	as	as	ADP
dem-1057	88	62	above	above	ADV
dem-1057	88	63	)	)	PUNCT
dem-1057	88	64	,	,	PUNCT
dem-1057	88	65			NOUN
dem-1057	88	66	ty	ty	VERB
dem-1057	88	67	,	,	PUNCT
dem-1057	88	68	p	p	X
dem-1057	88	69	–	–	PUNCT
dem-1057	88	70	spatio	spatio	NOUN
dem-1057	88	71	-	-	PUNCT
dem-1057	88	72	temporal	temporal	ADJ
dem-1057	88	73	process	process	NOUN
dem-1057	88	74	of	of	ADP
dem-1057	88	75	unemployment	unemployment	NOUN
dem-1057	88	76	,	,	PUNCT
dem-1057	88	77			PROPN
dem-1057	88	78	tx	tx	NOUN
dem-1057	88	79	,	,	PUNCT
dem-1057	88	80	p	p	PROPN
dem-1057	88	81	–	–	PUNCT
dem-1057	88	82	spatio	spatio	NOUN
dem-1057	88	83	-	-	PUNCT
dem-1057	88	84	temporal	temporal	ADJ
dem-1057	88	85	process	process	NOUN
dem-1057	88	86	of	of	ADP
dem-1057	88	87	investments	investment	NOUN
dem-1057	88	88	.	.	PUNCT
dem-1057	89	1	investigation	investigation	NOUN
dem-1057	89	2	of	of	ADP
dem-1057	89	3	the	the	DET
dem-1057	89	4	dependence	dependence	NOUN
dem-1057	89	5	in	in	ADP
dem-1057	89	6	years	year	NOUN
dem-1057	89	7	–	–	PUNCT
dem-1057	89	8	variant	variant	NOUN
dem-1057	89	9	i	i	PRON
dem-1057	89	10	investigation	investigation	NOUN
dem-1057	89	11	of	of	ADP
dem-1057	89	12	the	the	DET
dem-1057	89	13	dependence	dependence	NOUN
dem-1057	89	14	between	between	ADP
dem-1057	89	15	the	the	DET
dem-1057	89	16	unemployment	unemployment	NOUN
dem-1057	89	17	rate	rate	NOUN
dem-1057	89	18	and	and	CCONJ
dem-1057	89	19	the	the	DET
dem-1057	89	20	investment	investment	NOUN
dem-1057	89	21	outlays	outlay	NOUN
dem-1057	89	22	per	per	ADP
dem-1057	89	23	capita	capita	NOUN
dem-1057	89	24	across	across	ADP
dem-1057	89	25	poviats	poviat	NOUN
dem-1057	89	26	in	in	ADP
dem-1057	89	27	the	the	DET
dem-1057	89	28	successive	successive	ADJ
dem-1057	89	29	years	year	NOUN
dem-1057	89	30	allows	allow	VERB
dem-1057	89	31	to	to	PART
dem-1057	89	32	ascertain	ascertain	VERB
dem-1057	89	33	the	the	DET
dem-1057	89	34	following	following	NOUN
dem-1057	89	35	:	:	PUNCT
dem-1057	90	1	1	1	X
dem-1057	90	2	.	.	PUNCT
dem-1057	90	3	the	the	DET
dem-1057	90	4	models	model	NOUN
dem-1057	90	5	of	of	ADP
dem-1057	90	6	unemployment	unemployment	NOUN
dem-1057	90	7	and	and	CCONJ
dem-1057	90	8	investments	investment	NOUN
dem-1057	90	9	contained	contain	VERB
dem-1057	90	10	spatial	spatial	ADJ
dem-1057	90	11	trends	trend	NOUN
dem-1057	90	12	of	of	ADP
dem-1057	90	13	the	the	DET
dem-1057	90	14	first	first	ADJ
dem-1057	90	15	degree	degree	NOUN
dem-1057	90	16	in	in	ADP
dem-1057	90	17	all	all	DET
dem-1057	90	18	the	the	DET
dem-1057	90	19	years	year	NOUN
dem-1057	90	20	and	and	CCONJ
dem-1057	90	21	spatial	spatial	ADJ
dem-1057	90	22	autodependence	autodependence	NOUN
dem-1057	90	23	of	of	ADP
dem-1057	90	24	the	the	DET
dem-1057	90	25	first	first	ADJ
dem-1057	90	26	order	order	NOUN
dem-1057	90	27	,	,	PUNCT
dem-1057	90	28	except	except	SCONJ
dem-1057	90	29	for	for	ADP
dem-1057	90	30	2004	2004	NUM
dem-1057	90	31	and	and	CCONJ
dem-1057	90	32	2005	2005	NUM
dem-1057	90	33	,	,	PUNCT
dem-1057	90	34	where	where	SCONJ
dem-1057	90	35	the	the	DET
dem-1057	90	36	spatial	spatial	ADJ
dem-1057	90	37	autodependence	autodependence	NOUN
dem-1057	90	38	in	in	ADP
dem-1057	90	39	investments	investment	NOUN
dem-1057	90	40	appeared	appear	VERB
dem-1057	90	41	statistically	statistically	ADV
dem-1057	90	42	insignificant	insignificant	ADJ
dem-1057	90	43	.	.	PUNCT
dem-1057	91	1	2	2	X
dem-1057	91	2	.	.	X
dem-1057	91	3	the	the	DET
dem-1057	91	4	quasi	quasi	ADJ
dem-1057	91	5	-	-	ADJ
dem-1057	91	6	congruent	congruent	ADJ
dem-1057	91	7	models	model	NOUN
dem-1057	91	8	in	in	ADP
dem-1057	91	9	their	their	PRON
dem-1057	91	10	full	full	ADJ
dem-1057	91	11	version	version	NOUN
dem-1057	91	12	took	take	VERB
dem-1057	91	13	into	into	ADP
dem-1057	91	14	consideration	consideration	NOUN
dem-1057	91	15	the	the	DET
dem-1057	91	16	trend	trend	NOUN
dem-1057	91	17	structure	structure	NOUN
dem-1057	91	18	and	and	CCONJ
dem-1057	91	19	the	the	DET
dem-1057	91	20	autoregressive	autoregressive	ADJ
dem-1057	91	21	structure	structure	NOUN
dem-1057	91	22	of	of	ADP
dem-1057	91	23	the	the	DET
dem-1057	91	24	separate	separate	ADJ
dem-1057	91	25	processes	process	NOUN
dem-1057	91	26	.	.	PUNCT
dem-1057	92	1	thus	thus	ADV
dem-1057	92	2	,	,	PUNCT
dem-1057	92	3	they	they	PRON
dem-1057	92	4	were	be	AUX
dem-1057	92	5	the	the	DET
dem-1057	92	6	models	model	NOUN
dem-1057	92	7	of	of	ADP
dem-1057	92	8	the	the	DET
dem-1057	92	9	following	follow	VERB
dem-1057	92	10	form	form	NOUN
dem-1057	92	11	:	:	PUNCT
dem-1057	92	12			NOUN
dem-1057	92	13			SYM
dem-1057	92	14			NOUN
dem-1057	92	15			SYM
dem-1057	92	16			NOUN
dem-1057	92	17			SYM
dem-1057	92	18			NOUN
dem-1057	92	19			SYM
dem-1057	92	20			NOUN
dem-1057	93	1	ppwppwp	ppwppwp	NOUN
dem-1057	93	2	ttttt	ttttt	NOUN
dem-1057	93	3	xxyppy	xxyppy	PROPN
dem-1057	93	4			PUNCT
dem-1057	93	5			NOUN
dem-1057	93	6	20111000	20111000	NUM
dem-1057	93	7	.(4	.(4	PUNCT
dem-1057	93	8	)	)	PUNCT
dem-1057	94	1	3	3	X
dem-1057	94	2	.	.	PUNCT
dem-1057	95	1	after	after	ADP
dem-1057	95	2	reduction	reduction	NOUN
dem-1057	95	3	of	of	ADP
dem-1057	95	4	the	the	DET
dem-1057	95	5	statistically	statistically	ADV
dem-1057	95	6	insignificant	insignificant	ADJ
dem-1057	95	7	components	component	NOUN
dem-1057	95	8	,	,	PUNCT
dem-1057	95	9	for	for	ADP
dem-1057	95	10	all	all	DET
dem-1057	95	11	the	the	DET
dem-1057	95	12	years	year	NOUN
dem-1057	95	13	the	the	DET
dem-1057	95	14	models	model	NOUN
dem-1057	95	15	with	with	ADP
dem-1057	95	16	analogous	analogous	ADJ
dem-1057	95	17	structures	structure	NOUN
dem-1057	95	18	were	be	AUX
dem-1057	95	19	obtained	obtain	VERB
dem-1057	95	20	,	,	PUNCT
dem-1057	95	21	i.e.	i.e.	X
dem-1057	95	22	the	the	DET
dem-1057	95	23	models	model	NOUN
dem-1057	95	24	of	of	ADP
dem-1057	95	25	the	the	DET
dem-1057	95	26	form	form	NOUN
dem-1057	95	27	:	:	PUNCT
dem-1057	95	28			NOUN
dem-1057	96	1			SYM
dem-1057	96	2			NOUN
dem-1057	96	3			SYM
dem-1057	96	4			NOUN
dem-1057	96	5			SYM
dem-1057	96	6			NOUN
dem-1057	97	1	pppwp	pppwp	PROPN
dem-1057	97	2	tttt	tttt	NOUN
dem-1057	97	3	xyppy	xyppy	PROPN
dem-1057	97	4			PROPN
dem-1057	97	5			PROPN
dem-1057	97	6	20111000	20111000	NUM
dem-1057	97	7	,	,	PUNCT
dem-1057	97	8	(	(	PUNCT
dem-1057	97	9	5	5	NUM
dem-1057	97	10	)	)	PUNCT
dem-1057	97	11	except	except	SCONJ
dem-1057	97	12	for	for	ADP
dem-1057	97	13	2007	2007	NUM
dem-1057	97	14	,	,	PUNCT
dem-1057	97	15	where	where	SCONJ
dem-1057	97	16	the	the	DET
dem-1057	97	17	spatial	spatial	ADJ
dem-1057	97	18	trend	trend	NOUN
dem-1057	97	19	was	be	AUX
dem-1057	97	20	also	also	ADV
dem-1057	97	21	reduced	reduce	VERB
dem-1057	97	22	.	.	PUNCT
dem-1057	98	1	the	the	DET
dem-1057	98	2	theoretical	theoretical	ADJ
dem-1057	98	3	notation	notation	NOUN
dem-1057	98	4	of	of	ADP
dem-1057	98	5	the	the	DET
dem-1057	98	6	model	model	NOUN
dem-1057	98	7	for	for	ADP
dem-1057	98	8	2007	2007	NUM
dem-1057	98	9	is	be	AUX
dem-1057	98	10	following	follow	VERB
dem-1057	98	11	:	:	PUNCT
dem-1057	98	12			NOUN
dem-1057	98	13			PROPN
dem-1057	98	14			NOUN
dem-1057	98	15			SYM
dem-1057	98	16			NOUN
dem-1057	98	17			SYM
dem-1057	98	18			PUNCT
dem-1057	99	1	pppwp	pppwp	X
dem-1057	99	2	444004	444004	NUM
dem-1057	99	3			PROPN
dem-1057	99	4			NOUN
dem-1057	99	5	xyy	xyy	PROPN
dem-1057	99	6	.	.	PUNCT
dem-1057	100	1	(	(	PUNCT
dem-1057	100	2	6	6	NUM
dem-1057	100	3	)	)	PUNCT
dem-1057	100	4	in	in	ADP
dem-1057	100	5	the	the	DET
dem-1057	100	6	investigation	investigation	NOUN
dem-1057	100	7	of	of	ADP
dem-1057	100	8	the	the	DET
dem-1057	100	9	dependence	dependence	NOUN
dem-1057	100	10	between	between	ADP
dem-1057	100	11	the	the	DET
dem-1057	100	12	unemployment	unemployment	NOUN
dem-1057	100	13	and	and	CCONJ
dem-1057	100	14	the	the	DET
dem-1057	100	15	investment	investment	NOUN
dem-1057	100	16	outlays	outlay	NOUN
dem-1057	100	17	per	per	ADP
dem-1057	100	18	capita	capita	NOUN
dem-1057	100	19	across	across	ADP
dem-1057	100	20	sub	sub	NOUN
dem-1057	100	21	-	-	NOUN
dem-1057	100	22	regions	region	NOUN
dem-1057	100	23	in	in	ADP
dem-1057	100	24	the	the	DET
dem-1057	100	25	successive	successive	ADJ
dem-1057	100	26	years	year	NOUN
dem-1057	100	27	the	the	DET
dem-1057	100	28	following	follow	VERB
dem-1057	100	29	was	be	AUX
dem-1057	100	30	established	establish	VERB
dem-1057	100	31	:	:	PUNCT
dem-1057	101	1	1	1	X
dem-1057	101	2	.	.	PUNCT
dem-1057	101	3	the	the	DET
dem-1057	101	4	fundamental	fundamental	ADJ
dem-1057	101	5	models	model	NOUN
dem-1057	101	6	of	of	ADP
dem-1057	101	7	unemployment	unemployment	NOUN
dem-1057	101	8	and	and	CCONJ
dem-1057	101	9	investments	investment	NOUN
dem-1057	101	10	did	do	AUX
dem-1057	101	11	not	not	PART
dem-1057	101	12	contain	contain	VERB
dem-1057	101	13	any	any	DET
dem-1057	101	14	significant	significant	ADJ
dem-1057	101	15	spatial	spatial	ADJ
dem-1057	101	16	trend	trend	NOUN
dem-1057	101	17	,	,	PUNCT
dem-1057	101	18	but	but	CCONJ
dem-1057	101	19	they	they	PRON
dem-1057	101	20	had	have	VERB
dem-1057	101	21	autoregressive	autoregressive	ADJ
dem-1057	101	22	components	component	NOUN
dem-1057	101	23	.	.	PUNCT
dem-1057	102	1	only	only	ADV
dem-1057	102	2	in	in	ADP
dem-1057	102	3	2004	2004	NUM
dem-1057	102	4	and	and	CCONJ
dem-1057	102	5	2009	2009	NUM
dem-1057	102	6	the	the	DET
dem-1057	102	7	spatial	spatial	ADJ
dem-1057	102	8	autoregression	autoregression	NOUN
dem-1057	102	9	in	in	ADP
dem-1057	102	10	investments	investment	NOUN
dem-1057	102	11	appeared	appear	VERB
dem-1057	102	12	statistically	statistically	ADV
dem-1057	102	13	insignificant	insignificant	ADJ
dem-1057	102	14	.	.	PUNCT
dem-1057	103	1	identification	identification	NOUN
dem-1057	103	2	of	of	ADP
dem-1057	103	3	the	the	DET
dem-1057	103	4	structures	structure	NOUN
dem-1057	103	5	of	of	ADP
dem-1057	103	6	spatial	spatial	ADJ
dem-1057	103	7	and	and	CCONJ
dem-1057	103	8	spatio	spatio	ADJ
dem-1057	103	9	-	-	PUNCT
dem-1057	103	10	temporal	temporal	ADJ
dem-1057	103	11	processes	process	NOUN
dem-1057	103	12	…	…	PUNCT
dem-1057	103	13	11	11	NUM
dem-1057	103	14	2	2	NUM
dem-1057	103	15	.	.	PUNCT
dem-1057	104	1	in	in	ADP
dem-1057	104	2	the	the	DET
dem-1057	104	3	face	face	NOUN
dem-1057	104	4	of	of	ADP
dem-1057	104	5	settlement	settlement	NOUN
dem-1057	104	6	1	1	NUM
dem-1057	104	7	.	.	PUNCT
dem-1057	105	1	the	the	DET
dem-1057	105	2	full	full	ADJ
dem-1057	105	3	quasi	quasi	ADJ
dem-1057	105	4	-	-	ADJ
dem-1057	105	5	congruent	congruent	ADJ
dem-1057	105	6	models	model	NOUN
dem-1057	105	7	for	for	ADP
dem-1057	105	8	2005–2008	2005–2008	NUM
dem-1057	105	9	took	take	VERB
dem-1057	105	10	the	the	DET
dem-1057	105	11	form	form	NOUN
dem-1057	105	12	:	:	PUNCT
dem-1057	105	13			NOUN
dem-1057	105	14			SYM
dem-1057	105	15			NOUN
dem-1057	105	16			SYM
dem-1057	105	17			NOUN
dem-1057	105	18			SYM
dem-1057	105	19			NOUN
dem-1057	105	20			SYM
dem-1057	105	21			NOUN
dem-1057	106	1	ppwppwp	ppwppwp	NOUN
dem-1057	106	2	ttttt	ttttt	NOUN
dem-1057	106	3	xxyy	xxyy	PROPN
dem-1057	106	4			PROPN
dem-1057	106	5			NOUN
dem-1057	106	6	00	00	PUNCT
dem-1057	106	7	,	,	PUNCT
dem-1057	106	8	(	(	PUNCT
dem-1057	106	9	7	7	NUM
dem-1057	106	10	)	)	PUNCT
dem-1057	106	11	and	and	CCONJ
dem-1057	106	12	for	for	ADP
dem-1057	106	13	2004	2004	NUM
dem-1057	106	14	and	and	CCONJ
dem-1057	106	15	2009	2009	NUM
dem-1057	106	16	:	:	PUNCT
dem-1057	107	1			NOUN
dem-1057	107	2			SYM
dem-1057	107	3			NOUN
dem-1057	107	4			SYM
dem-1057	107	5			NOUN
dem-1057	107	6			SYM
dem-1057	107	7			NOUN
dem-1057	108	1	pppwp	pppwp	PROPN
dem-1057	108	2	tttt	tttt	NOUN
dem-1057	108	3	xyy	xyy	PROPN
dem-1057	108	4			PROPN
dem-1057	108	5			VERB
dem-1057	108	6	00	00	PUNCT
dem-1057	108	7	.	.	PUNCT
dem-1057	109	1	(	(	PUNCT
dem-1057	109	2	8)	8)	NUM
dem-1057	109	3	3	3	NUM
dem-1057	109	4	.	.	PUNCT
dem-1057	110	1	the	the	DET
dem-1057	110	2	reduction	reduction	NOUN
dem-1057	110	3	of	of	ADP
dem-1057	110	4	the	the	DET
dem-1057	110	5	statistically	statistically	ADV
dem-1057	110	6	insignificant	insignificant	ADJ
dem-1057	110	7	components	component	NOUN
dem-1057	110	8	led	lead	VERB
dem-1057	110	9	to	to	ADP
dem-1057	110	10	the	the	DET
dem-1057	110	11	models	model	NOUN
dem-1057	110	12	of	of	ADP
dem-1057	110	13	the	the	DET
dem-1057	110	14	form	form	NOUN
dem-1057	110	15	(	(	PUNCT
dem-1057	110	16	8)	8)	NUM
dem-1057	110	17	,	,	PUNCT
dem-1057	110	18	for	for	ADP
dem-1057	110	19	all	all	DET
dem-1057	110	20	the	the	DET
dem-1057	110	21	years	year	NOUN
dem-1057	110	22	.	.	PUNCT
dem-1057	111	1	table	table	NOUN
dem-1057	111	2	1	1	NUM
dem-1057	111	3	presents	present	NOUN
dem-1057	111	4	specification	specification	NOUN
dem-1057	111	5	of	of	ADP
dem-1057	111	6	the	the	DET
dem-1057	111	7	values	value	NOUN
dem-1057	111	8	of	of	ADP
dem-1057	111	9	the	the	DET
dem-1057	111	10	chosen	choose	VERB
dem-1057	111	11	parameters	parameter	NOUN
dem-1057	111	12	of	of	ADP
dem-1057	111	13	the	the	DET
dem-1057	111	14	reduced	reduced	ADJ
dem-1057	111	15	quasi	quasi	ADJ
dem-1057	111	16	-	-	ADJ
dem-1057	111	17	congruent	congruent	ADJ
dem-1057	111	18	models	model	NOUN
dem-1057	111	19	for	for	ADP
dem-1057	111	20	poviats	poviat	NOUN
dem-1057	111	21	and	and	CCONJ
dem-1057	111	22	sub	sub	NOUN
dem-1057	111	23	-	-	NOUN
dem-1057	111	24	regions	region	NOUN
dem-1057	111	25	.	.	PUNCT
dem-1057	112	1	the	the	DET
dem-1057	112	2	comparison	comparison	NOUN
dem-1057	112	3	of	of	ADP
dem-1057	112	4	the	the	DET
dem-1057	112	5	values	value	NOUN
dem-1057	112	6	leads	lead	VERB
dem-1057	112	7	to	to	ADP
dem-1057	112	8	the	the	DET
dem-1057	112	9	statement	statement	NOUN
dem-1057	112	10	,	,	PUNCT
dem-1057	112	11	that	that	SCONJ
dem-1057	112	12	in	in	ADP
dem-1057	112	13	the	the	DET
dem-1057	112	14	successive	successive	ADJ
dem-1057	112	15	years	year	NOUN
dem-1057	112	16	the	the	DET
dem-1057	112	17	regression	regression	NOUN
dem-1057	112	18	coefficients	coefficient	NOUN
dem-1057	112	19	estimated	estimate	VERB
dem-1057	112	20	at	at	ADP
dem-1057	112	21	the	the	DET
dem-1057	112	22	level	level	NOUN
dem-1057	112	23	of	of	ADP
dem-1057	112	24	poviats	poviat	NOUN
dem-1057	112	25	are	be	AUX
dem-1057	112	26	,	,	PUNCT
dem-1057	112	27	as	as	SCONJ
dem-1057	112	28	regards	regard	VERB
dem-1057	112	29	the	the	DET
dem-1057	112	30	absolute	absolute	ADJ
dem-1057	112	31	value	value	NOUN
dem-1057	112	32	,	,	PUNCT
dem-1057	112	33	smaller	small	ADJ
dem-1057	112	34	than	than	ADP
dem-1057	112	35	the	the	DET
dem-1057	112	36	ones	one	NOUN
dem-1057	112	37	obtained	obtain	VERB
dem-1057	112	38	for	for	ADP
dem-1057	112	39	sub	sub	NOUN
dem-1057	112	40	-	-	NOUN
dem-1057	112	41	regions	region	NOUN
dem-1057	112	42	.	.	PUNCT
dem-1057	113	1	in	in	ADP
dem-1057	113	2	turn	turn	NOUN
dem-1057	113	3	,	,	PUNCT
dem-1057	113	4	the	the	DET
dem-1057	113	5	coefficients	coefficient	NOUN
dem-1057	113	6	of	of	ADP
dem-1057	113	7	autoregression	autoregression	NOUN
dem-1057	113	8	for	for	ADP
dem-1057	113	9	poviats	poviat	NOUN
dem-1057	113	10	are	be	AUX
dem-1057	113	11	bigger	big	ADJ
dem-1057	113	12	than	than	ADP
dem-1057	113	13	for	for	ADP
dem-1057	113	14	sub	sub	NOUN
dem-1057	113	15	-	-	NOUN
dem-1057	113	16	regions	region	NOUN
dem-1057	113	17	.	.	PUNCT
dem-1057	114	1	table	table	NOUN
dem-1057	114	2	1	1	NUM
dem-1057	114	3	.	.	PUNCT
dem-1057	114	4	coefficients	coefficient	NOUN
dem-1057	114	5	of	of	ADP
dem-1057	114	6	regression	regression	NOUN
dem-1057	114	7	and	and	CCONJ
dem-1057	114	8	autoregression	autoregression	NOUN
dem-1057	114	9	in	in	ADP
dem-1057	114	10	the	the	DET
dem-1057	114	11	models	model	NOUN
dem-1057	114	12	estimated	estimate	VERB
dem-1057	114	13	at	at	ADP
dem-1057	114	14	the	the	DET
dem-1057	114	15	level	level	NOUN
dem-1057	114	16	of	of	ADP
dem-1057	114	17	poviats	poviat	NOUN
dem-1057	114	18	and	and	CCONJ
dem-1057	114	19	sub	sub	NOUN
dem-1057	114	20	-	-	NOUN
dem-1057	114	21	regions	region	NOUN
dem-1057	114	22	–	–	PUNCT
dem-1057	114	23	variant	variant	NOUN
dem-1057	114	24	i	i	PRON
dem-1057	114	25	level	level	NOUN
dem-1057	114	26	of	of	ADP
dem-1057	114	27	aggregation	aggregation	NOUN
dem-1057	114	28	years	year	NOUN
dem-1057	114	29	2004	2004	NUM
dem-1057	114	30	2005	2005	NUM
dem-1057	114	31	2006	2006	NUM
dem-1057	114	32	2007	2007	NUM
dem-1057	114	33	2008	2008	NUM
dem-1057	114	34	2009	2009	NUM
dem-1057	114	35	coefficients	coefficient	NOUN
dem-1057	114	36	of	of	ADP
dem-1057	114	37	regression	regression	NOUN
dem-1057	114	38			NUM
dem-1057	115	1	poviats	poviat	NOUN
dem-1057	115	2	-1.6371	-1.6371	PROPN
dem-1057	115	3	-1.6489	-1.6489	PROPN
dem-1057	115	4	-1.3799	-1.3799	PROPN
dem-1057	115	5	-0.8802	-0.8802	PROPN
dem-1057	115	6	-0.6379	-0.6379	PROPN
dem-1057	115	7	-0.5991	-0.5991	PROPN
dem-1057	116	1	sub	sub	ADJ
dem-1057	116	2	-	-	ADJ
dem-1057	116	3	regions	region	NOUN
dem-1057	116	4	-2.5394	-2.5394	NOUN
dem-1057	116	5	-2.5007	-2.5007	PROPN
dem-1057	116	6	-1.9284	-1.9284	PROPN
dem-1057	116	7	-1.4969	-1.4969	PROPN
dem-1057	116	8	-1.2207	-1.2207	PROPN
dem-1057	116	9	-1.3018	-1.3018	VERB
dem-1057	116	10	coefficients	coefficient	NOUN
dem-1057	116	11	of	of	ADP
dem-1057	116	12	autoregression	autoregression	NOUN
dem-1057	116	13			ADP
dem-1057	116	14	poviats	poviat	NOUN
dem-1057	117	1	0.6833	0.6833	NUM
dem-1057	117	2	0.6747	0.6747	NUM
dem-1057	117	3	0.6724	0.6724	NUM
dem-1057	117	4	0.6851	0.6851	NUM
dem-1057	118	1	0.6632	0.6632	NUM
dem-1057	118	2	0.6381	0.6381	NUM
dem-1057	118	3	sub	sub	NOUN
dem-1057	118	4	-	-	NOUN
dem-1057	118	5	regions	region	NOUN
dem-1057	118	6	0.5112	0.5112	NUM
dem-1057	118	7	0.5139	0.5139	NUM
dem-1057	118	8	0.4353	0.4353	NUM
dem-1057	118	9	0.3370	0.3370	NUM
dem-1057	118	10	0.3544	0.3544	NUM
dem-1057	118	11	0.4321	0.4321	NUM
dem-1057	118	12	note	note	NOUN
dem-1057	118	13	:	:	PUNCT
dem-1057	118	14	all	all	DET
dem-1057	118	15	the	the	DET
dem-1057	118	16	calculations	calculation	NOUN
dem-1057	118	17	for	for	ADP
dem-1057	118	18	the	the	DET
dem-1057	118	19	investigation	investigation	NOUN
dem-1057	118	20	presented	present	VERB
dem-1057	118	21	in	in	ADP
dem-1057	118	22	the	the	DET
dem-1057	118	23	paper	paper	NOUN
dem-1057	118	24	were	be	AUX
dem-1057	118	25	done	do	VERB
dem-1057	118	26	with	with	ADP
dem-1057	118	27	the	the	DET
dem-1057	118	28	use	use	NOUN
dem-1057	118	29	of	of	ADP
dem-1057	118	30	r	r	NOUN
dem-1057	118	31	-	-	PUNCT
dem-1057	118	32	cran	cran	NOUN
dem-1057	118	33	.	.	PUNCT
dem-1057	119	1	investigation	investigation	NOUN
dem-1057	119	2	of	of	ADP
dem-1057	119	3	the	the	DET
dem-1057	119	4	dependence	dependence	NOUN
dem-1057	119	5	in	in	ADP
dem-1057	119	6	years	year	NOUN
dem-1057	119	7	–	–	PUNCT
dem-1057	119	8	variant	variant	NOUN
dem-1057	119	9	ii	ii	NOUN
dem-1057	119	10	the	the	DET
dem-1057	119	11	influence	influence	NOUN
dem-1057	119	12	of	of	ADP
dem-1057	119	13	investment	investment	NOUN
dem-1057	119	14	outlays	outlay	NOUN
dem-1057	119	15	on	on	ADP
dem-1057	119	16	unemployment	unemployment	NOUN
dem-1057	119	17	rate	rate	NOUN
dem-1057	119	18	was	be	AUX
dem-1057	119	19	also	also	ADV
dem-1057	119	20	investigated	investigate	VERB
dem-1057	119	21	by	by	ADP
dem-1057	119	22	using	use	VERB
dem-1057	119	23	the	the	DET
dem-1057	119	24	matrix	matrix	NOUN
dem-1057	119	25	of	of	ADP
dem-1057	119	26	economic	economic	ADJ
dem-1057	119	27	distance	distance	NOUN
dem-1057	119	28	to	to	PART
dem-1057	119	29	define	define	VERB
dem-1057	119	30	spatial	spatial	ADJ
dem-1057	119	31	autodependence	autodependence	NOUN
dem-1057	119	32	in	in	ADP
dem-1057	119	33	the	the	DET
dem-1057	119	34	considered	consider	VERB
dem-1057	119	35	processes	process	NOUN
dem-1057	119	36	.	.	PUNCT
dem-1057	120	1	the	the	DET
dem-1057	120	2	matrix	matrix	NOUN
dem-1057	120	3	with	with	ADP
dem-1057	120	4	differentiated	differentiated	ADJ
dem-1057	120	5	weights	weight	NOUN
dem-1057	120	6	,	,	PUNCT
dem-1057	120	7	taking	take	VERB
dem-1057	120	8	into	into	ADP
dem-1057	120	9	account	account	NOUN
dem-1057	120	10	similarity	similarity	NOUN
dem-1057	120	11	of	of	ADP
dem-1057	120	12	poviats	poviat	NOUN
dem-1057	120	13	/	/	SYM
dem-1057	120	14	sub	sub	NOUN
dem-1057	120	15	-	-	NOUN
dem-1057	120	16	regions	region	NOUN
dem-1057	120	17	established	establish	VERB
dem-1057	120	18	on	on	ADP
dem-1057	120	19	the	the	DET
dem-1057	120	20	ground	ground	NOUN
dem-1057	120	21	of	of	ADP
dem-1057	120	22	the	the	DET
dem-1057	120	23	values	value	NOUN
dem-1057	120	24	of	of	ADP
dem-1057	120	25	unemployment	unemployment	NOUN
dem-1057	120	26	and	and	CCONJ
dem-1057	120	27	investment	investment	NOUN
dem-1057	120	28	outlays	outlay	NOUN
dem-1057	120	29	in	in	ADP
dem-1057	120	30	the	the	DET
dem-1057	120	31	connected	connected	ADJ
dem-1057	120	32	regions	region	NOUN
dem-1057	120	33	(	(	PUNCT
dem-1057	120	34	i.e.	i.e.	X
dem-1057	120	35	in	in	ADP
dem-1057	120	36	poviats	poviat	NOUN
dem-1057	120	37	,	,	PUNCT
dem-1057	120	38	and	and	CCONJ
dem-1057	120	39	then	then	ADV
dem-1057	120	40	in	in	ADP
dem-1057	120	41	sub	sub	NOUN
dem-1057	120	42	-	-	NOUN
dem-1057	120	43	regions	region	NOUN
dem-1057	120	44	)	)	PUNCT
dem-1057	120	45	was	be	AUX
dem-1057	120	46	used	use	VERB
dem-1057	120	47	.	.	PUNCT
dem-1057	121	1	thus	thus	ADV
dem-1057	121	2	,	,	PUNCT
dem-1057	121	3	the	the	DET
dem-1057	121	4	economic	economic	ADJ
dem-1057	121	5	distance	distance	NOUN
dem-1057	121	6	was	be	AUX
dem-1057	121	7	defined	define	VERB
dem-1057	121	8	as	as	SCONJ
dem-1057	121	9	follows	follow	VERB
dem-1057	121	10	:	:	PUNCT
dem-1057	121	11			NOUN
dem-1057	121	12			NOUN
dem-1057	121	13			ADP
dem-1057	122	1			NUM
dem-1057	122	2			PUNCT
dem-1057	122	3			PRON
dem-1057	122	4	,	,	PUNCT
dem-1057	122	5	for0	for0	VERB
dem-1057	122	6	,	,	PUNCT
dem-1057	122	7	for,||||	for,||||	VERB
dem-1057	122	8	21	21	NUM
dem-1057	122	9	ji	ji	PROPN
dem-1057	122	10	jixxyy	jixxyy	PROPN
dem-1057	122	11	d	d	PROPN
dem-1057	122	12	jiji	jiji	PROPN
dem-1057	122	13	ij	ij	X
dem-1057	122	14			PROPN
dem-1057	122	15	(	(	PUNCT
dem-1057	122	16	9	9	NUM
dem-1057	122	17	)	)	PUNCT
dem-1057	123	1	where	where	SCONJ
dem-1057	123	2	1	1	NOUN
dem-1057	123	3	=	=	SYM
dem-1057	123	4	2	2	ADJ
dem-1057	123	5	=	=	NOUN
dem-1057	123	6	0.95	0.95	NUM
dem-1057	123	7	.	.	PUNCT
dem-1057	124	1	in	in	ADP
dem-1057	124	2	this	this	DET
dem-1057	124	3	case	case	NOUN
dem-1057	124	4	,	,	PUNCT
dem-1057	124	5	for	for	ADP
dem-1057	124	6	poviats	poviat	NOUN
dem-1057	124	7	,	,	PUNCT
dem-1057	124	8	it	it	PRON
dem-1057	124	9	was	be	AUX
dem-1057	124	10	established	establish	VERB
dem-1057	124	11	,	,	PUNCT
dem-1057	124	12	that	that	SCONJ
dem-1057	124	13	:	:	PUNCT
dem-1057	124	14	5	5	NUM
dem-1057	124	15	the	the	DET
dem-1057	124	16	value	value	NOUN
dem-1057	124	17	has	have	AUX
dem-1057	124	18	been	be	AUX
dem-1057	124	19	established	establish	VERB
dem-1057	124	20	on	on	ADP
dem-1057	124	21	the	the	DET
dem-1057	124	22	ground	ground	NOUN
dem-1057	124	23	of	of	ADP
dem-1057	124	24	the	the	DET
dem-1057	124	25	separated	separate	VERB
dem-1057	124	26	investigations	investigation	NOUN
dem-1057	124	27	.	.	PUNCT
dem-1057	125	1	elżbieta	elżbieta	PROPN
dem-1057	125	2	szulc	szulc	PROPN
dem-1057	125	3	12	12	NUM
dem-1057	125	4	1	1	NUM
dem-1057	125	5	.	.	PUNCT
dem-1057	126	1	the	the	DET
dem-1057	126	2	fundamental	fundamental	ADJ
dem-1057	126	3	models	model	NOUN
dem-1057	126	4	of	of	ADP
dem-1057	126	5	unemployment	unemployment	NOUN
dem-1057	126	6	and	and	CCONJ
dem-1057	126	7	investments	investment	NOUN
dem-1057	126	8	identified	identify	VERB
dem-1057	126	9	at	at	ADP
dem-1057	126	10	the	the	DET
dem-1057	126	11	level	level	NOUN
dem-1057	126	12	of	of	ADP
dem-1057	126	13	poviats	poviat	NOUN
dem-1057	126	14	,	,	PUNCT
dem-1057	126	15	for	for	ADP
dem-1057	126	16	all	all	DET
dem-1057	126	17	the	the	DET
dem-1057	126	18	years	year	NOUN
dem-1057	126	19	,	,	PUNCT
dem-1057	126	20	contained	contain	VERB
dem-1057	126	21	spatial	spatial	ADJ
dem-1057	126	22	trends	trend	NOUN
dem-1057	126	23	of	of	ADP
dem-1057	126	24	the	the	DET
dem-1057	126	25	1st	1st	ADJ
dem-1057	126	26	degree	degree	NOUN
dem-1057	126	27	and	and	CCONJ
dem-1057	126	28	the	the	DET
dem-1057	126	29	autodependence	autodependence	NOUN
dem-1057	126	30	of	of	ADP
dem-1057	126	31	the	the	DET
dem-1057	126	32	1st	1st	ADJ
dem-1057	126	33	order	order	NOUN
dem-1057	126	34	.	.	PUNCT
dem-1057	127	1	it	it	PRON
dem-1057	127	2	is	be	AUX
dem-1057	127	3	the	the	DET
dem-1057	127	4	analogous	analogous	ADJ
dem-1057	127	5	result	result	NOUN
dem-1057	127	6	as	as	ADP
dem-1057	127	7	that	that	DET
dem-1057	127	8	one	one	NOUN
dem-1057	127	9	obtained	obtain	VERB
dem-1057	127	10	in	in	ADP
dem-1057	127	11	variant	variant	ADJ
dem-1057	127	12	i.	i.	NOUN
dem-1057	127	13	2	2	NUM
dem-1057	127	14	.	.	PUNCT
dem-1057	128	1	also	also	ADV
dem-1057	128	2	,	,	PUNCT
dem-1057	128	3	likewise	likewise	ADV
dem-1057	128	4	in	in	ADP
dem-1057	128	5	variant	variant	NOUN
dem-1057	128	6	i	i	PRON
dem-1057	128	7	of	of	ADP
dem-1057	128	8	the	the	DET
dem-1057	128	9	analysis	analysis	NOUN
dem-1057	128	10	the	the	DET
dem-1057	128	11	full	full	ADJ
dem-1057	128	12	quasi	quasi	ADJ
dem-1057	128	13	-	-	ADJ
dem-1057	128	14	congruent	congruent	ADJ
dem-1057	128	15	models	model	NOUN
dem-1057	128	16	contained	contain	VERB
dem-1057	128	17	spatial	spatial	ADJ
dem-1057	128	18	trends	trend	NOUN
dem-1057	128	19	,	,	PUNCT
dem-1057	128	20	spatially	spatially	ADV
dem-1057	128	21	lagged	lag	VERB
dem-1057	128	22	unemployment	unemployment	NOUN
dem-1057	128	23	,	,	PUNCT
dem-1057	128	24	current	current	ADJ
dem-1057	128	25	investments	investment	NOUN
dem-1057	128	26	and	and	CCONJ
dem-1057	128	27	spatially	spatially	ADV
dem-1057	128	28	lagged	lag	VERB
dem-1057	128	29	investments	investment	NOUN
dem-1057	128	30	(	(	PUNCT
dem-1057	128	31	see	see	VERB
dem-1057	128	32	formula	formula	NOUN
dem-1057	128	33	(	(	PUNCT
dem-1057	128	34	4	4	NUM
dem-1057	128	35	)	)	PUNCT
dem-1057	128	36	)	)	PUNCT
dem-1057	128	37	.	.	PUNCT
dem-1057	129	1	3	3	X
dem-1057	129	2	.	.	X
dem-1057	130	1	after	after	ADP
dem-1057	130	2	reduction	reduction	NOUN
dem-1057	130	3	of	of	ADP
dem-1057	130	4	the	the	DET
dem-1057	130	5	statistically	statistically	ADV
dem-1057	130	6	insignificant	insignificant	ADJ
dem-1057	130	7	components	component	NOUN
dem-1057	130	8	,	,	PUNCT
dem-1057	130	9	for	for	ADP
dem-1057	130	10	2004–2007	2004–2007	NUM
dem-1057	130	11	the	the	DET
dem-1057	130	12	spatial	spatial	ADJ
dem-1057	130	13	autoregressive	autoregressive	ADJ
dem-1057	130	14	regression	regression	NOUN
dem-1057	130	15	models	model	NOUN
dem-1057	130	16	were	be	AUX
dem-1057	130	17	obtained	obtain	VERB
dem-1057	130	18	(	(	PUNCT
dem-1057	130	19	see	see	VERB
dem-1057	130	20	,	,	PUNCT
dem-1057	130	21	formula	formula	NOUN
dem-1057	130	22	(	(	PUNCT
dem-1057	130	23	8)	8)	NUM
dem-1057	130	24	)	)	PUNCT
dem-1057	130	25	.	.	PUNCT
dem-1057	131	1	for	for	ADP
dem-1057	131	2	2008	2008	NUM
dem-1057	131	3	from	from	ADP
dem-1057	131	4	the	the	DET
dem-1057	131	5	full	full	ADJ
dem-1057	131	6	model	model	NOUN
dem-1057	131	7	only	only	ADV
dem-1057	131	8	the	the	DET
dem-1057	131	9	spatial	spatial	ADJ
dem-1057	131	10	trend	trend	NOUN
dem-1057	131	11	was	be	AUX
dem-1057	131	12	eliminated	eliminate	VERB
dem-1057	131	13	,	,	PUNCT
dem-1057	131	14	yet	yet	CCONJ
dem-1057	131	15	for	for	ADP
dem-1057	131	16	2009	2009	NUM
dem-1057	131	17	the	the	DET
dem-1057	131	18	full	full	ADJ
dem-1057	131	19	model	model	NOUN
dem-1057	131	20	did	do	AUX
dem-1057	131	21	not	not	PART
dem-1057	131	22	need	need	VERB
dem-1057	131	23	any	any	DET
dem-1057	131	24	component	component	NOUN
dem-1057	131	25	to	to	PART
dem-1057	131	26	be	be	AUX
dem-1057	131	27	reduced	reduce	VERB
dem-1057	131	28	.	.	PUNCT
dem-1057	132	1	the	the	DET
dem-1057	132	2	analysis	analysis	NOUN
dem-1057	132	3	of	of	ADP
dem-1057	132	4	the	the	DET
dem-1057	132	5	data	datum	NOUN
dem-1057	132	6	at	at	ADP
dem-1057	132	7	the	the	DET
dem-1057	132	8	level	level	NOUN
dem-1057	132	9	of	of	ADP
dem-1057	132	10	sub	sub	NOUN
dem-1057	132	11	-	-	NOUN
dem-1057	132	12	regions	region	NOUN
dem-1057	132	13	led	lead	VERB
dem-1057	132	14	to	to	ADP
dem-1057	132	15	the	the	DET
dem-1057	132	16	following	follow	VERB
dem-1057	132	17	settlements	settlement	NOUN
dem-1057	132	18	:	:	PUNCT
dem-1057	132	19	1	1	X
dem-1057	132	20	.	.	X
dem-1057	132	21	the	the	DET
dem-1057	132	22	unemployment	unemployment	NOUN
dem-1057	132	23	and	and	CCONJ
dem-1057	132	24	investments	investment	NOUN
dem-1057	132	25	in	in	ADP
dem-1057	132	26	all	all	DET
dem-1057	132	27	the	the	DET
dem-1057	132	28	years	year	NOUN
dem-1057	132	29	were	be	AUX
dem-1057	132	30	described	describe	VERB
dem-1057	132	31	with	with	ADP
dem-1057	132	32	the	the	DET
dem-1057	132	33	help	help	NOUN
dem-1057	132	34	of	of	ADP
dem-1057	132	35	the	the	DET
dem-1057	132	36	pure	pure	ADJ
dem-1057	132	37	autoregressive	autoregressive	ADJ
dem-1057	132	38	spatial	spatial	ADJ
dem-1057	132	39	models	model	NOUN
dem-1057	132	40	(	(	PUNCT
dem-1057	132	41	without	without	ADP
dem-1057	132	42	trend	trend	NOUN
dem-1057	132	43	)	)	PUNCT
dem-1057	132	44	.	.	PUNCT
dem-1057	133	1	2	2	X
dem-1057	133	2	.	.	X
dem-1057	133	3	it	it	PRON
dem-1057	133	4	led	lead	VERB
dem-1057	133	5	to	to	ADP
dem-1057	133	6	the	the	DET
dem-1057	133	7	quite	quite	ADV
dem-1057	133	8	simple	simple	ADJ
dem-1057	133	9	structure	structure	NOUN
dem-1057	133	10	of	of	ADP
dem-1057	133	11	the	the	DET
dem-1057	133	12	full	full	ADJ
dem-1057	133	13	quasi	quasi	ADJ
dem-1057	133	14	-	-	ADJ
dem-1057	133	15	congruent	congruent	ADJ
dem-1057	133	16	models	model	NOUN
dem-1057	133	17	,	,	PUNCT
dem-1057	133	18	i.e.	i.e.	X
dem-1057	133	19	:	:	PUNCT
dem-1057	133	20			NOUN
dem-1057	133	21			SYM
dem-1057	133	22			NOUN
dem-1057	133	23			SYM
dem-1057	133	24			NOUN
dem-1057	133	25			SYM
dem-1057	133	26			NOUN
dem-1057	133	27			SYM
dem-1057	133	28			NOUN
dem-1057	134	1	ppwppwp	ppwppwp	NOUN
dem-1057	134	2	ttttt	ttttt	NOUN
dem-1057	134	3	xxyy	xxyy	PROPN
dem-1057	134	4			PROPN
dem-1057	134	5			VERB
dem-1057	134	6			NOUN
dem-1057	134	7	00	00	PUNCT
dem-1057	134	8	.	.	PUNCT
dem-1057	135	1	(	(	PUNCT
dem-1057	135	2	10	10	NUM
dem-1057	135	3	)	)	PUNCT
dem-1057	135	4	3	3	NUM
dem-1057	135	5	.	.	X
dem-1057	136	1	for	for	ADP
dem-1057	136	2	all	all	DET
dem-1057	136	3	the	the	DET
dem-1057	136	4	years	year	NOUN
dem-1057	136	5	there	there	PRON
dem-1057	136	6	were	be	VERB
dem-1057	136	7	obtained	obtain	VERB
dem-1057	136	8	the	the	DET
dem-1057	136	9	reduced	reduce	VERB
dem-1057	136	10	models	model	NOUN
dem-1057	136	11	of	of	ADP
dem-1057	136	12	the	the	DET
dem-1057	136	13	form	form	NOUN
dem-1057	136	14	:	:	PUNCT
dem-1057	136	15			NOUN
dem-1057	137	1			SYM
dem-1057	137	2			NOUN
dem-1057	137	3			SYM
dem-1057	137	4			NOUN
dem-1057	137	5			SYM
dem-1057	137	6			NOUN
dem-1057	138	1	pppwp	pppwp	PROPN
dem-1057	138	2	tttt	tttt	NOUN
dem-1057	138	3	xyy	xyy	PROPN
dem-1057	138	4			PROPN
dem-1057	138	5			VERB
dem-1057	138	6			PROPN
dem-1057	138	7	00	00	NUM
dem-1057	138	8	.	.	PUNCT
dem-1057	139	1	(	(	PUNCT
dem-1057	139	2	11	11	NUM
dem-1057	139	3	)	)	PUNCT
dem-1057	139	4	table	table	NOUN
dem-1057	139	5	2	2	NUM
dem-1057	139	6	.	.	PUNCT
dem-1057	139	7	coefficients	coefficient	NOUN
dem-1057	139	8	of	of	ADP
dem-1057	139	9	regression	regression	NOUN
dem-1057	139	10	and	and	CCONJ
dem-1057	139	11	autoregression	autoregression	NOUN
dem-1057	139	12	in	in	ADP
dem-1057	139	13	the	the	DET
dem-1057	139	14	models	model	NOUN
dem-1057	139	15	estimated	estimate	VERB
dem-1057	139	16	at	at	ADP
dem-1057	139	17	the	the	DET
dem-1057	139	18	level	level	NOUN
dem-1057	139	19	of	of	ADP
dem-1057	139	20	poviats	poviat	NOUN
dem-1057	139	21	and	and	CCONJ
dem-1057	139	22	sub	sub	NOUN
dem-1057	139	23	-	-	NOUN
dem-1057	139	24	regions	region	NOUN
dem-1057	139	25	–	–	PUNCT
dem-1057	139	26	variant	variant	ADJ
dem-1057	139	27	ii	ii	NOUN
dem-1057	139	28	level	level	NOUN
dem-1057	139	29	of	of	ADP
dem-1057	139	30	aggregation	aggregation	NOUN
dem-1057	139	31	years	year	NOUN
dem-1057	139	32	2004	2004	NUM
dem-1057	139	33	2005	2005	NUM
dem-1057	139	34	2006	2006	NUM
dem-1057	139	35	2007	2007	NUM
dem-1057	139	36	2008	2008	NUM
dem-1057	139	37	2009	2009	NUM
dem-1057	139	38	coefficients	coefficient	NOUN
dem-1057	139	39	of	of	ADP
dem-1057	139	40	regression	regression	NOUN
dem-1057	139	41			NUM
dem-1057	139	42	poviats	poviat	NOUN
dem-1057	139	43	-1.2893	-1.2893	VERB
dem-1057	139	44	-1.3225	-1.3225	PRON
dem-1057	139	45	-1.1025	-1.1025	PROPN
dem-1057	139	46	-0.7173	-0.7173	PROPN
dem-1057	139	47	-0.4401	-0.4401	PROPN
dem-1057	139	48	-0.4075	-0.4075	VERB
dem-1057	140	1	sub	sub	NOUN
dem-1057	140	2	-	-	ADJ
dem-1057	140	3	regions	region	NOUN
dem-1057	140	4	-2.3358	-2.3358	NOUN
dem-1057	140	5	-2.2648	-2.2648	PROPN
dem-1057	140	6	-1.7279	-1.7279	PROPN
dem-1057	140	7	-1.3171	-1.3171	INTJ
dem-1057	140	8	-1.0979	-1.0979	PUNCT
dem-1057	141	1	-1.1736	-1.1736	PROPN
dem-1057	141	2	coefficients	coefficient	NOUN
dem-1057	141	3	of	of	ADP
dem-1057	141	4	autoregression	autoregression	NOUN
dem-1057	141	5			ADP
dem-1057	141	6	poviats	poviat	NOUN
dem-1057	141	7	0.8158	0.8158	NUM
dem-1057	141	8	0.8026	0.8026	NUM
dem-1057	141	9	0.7954	0.7954	NUM
dem-1057	141	10	0.7727	0.7727	NUM
dem-1057	141	11	0.7506	0.7506	NUM
dem-1057	141	12	0.7110	0.7110	NUM
dem-1057	141	13	sub	sub	NOUN
dem-1057	141	14	-	-	NOUN
dem-1057	141	15	regions	region	NOUN
dem-1057	141	16	0.6170	0.6170	NUM
dem-1057	141	17	0.5938	0.5938	NUM
dem-1057	141	18	0.5506	0.5506	NUM
dem-1057	141	19	0.5046	0.5046	NUM
dem-1057	141	20	0.4829	0.4829	NUM
dem-1057	141	21	0.5472	0.5472	NUM
dem-1057	141	22	table	table	NOUN
dem-1057	141	23	2	2	NUM
dem-1057	141	24	presents	present	NOUN
dem-1057	141	25	specification	specification	NOUN
dem-1057	141	26	of	of	ADP
dem-1057	141	27	the	the	DET
dem-1057	141	28	values	value	NOUN
dem-1057	141	29	of	of	ADP
dem-1057	141	30	the	the	DET
dem-1057	141	31	chosen	choose	VERB
dem-1057	141	32	parameters	parameter	NOUN
dem-1057	141	33	of	of	ADP
dem-1057	141	34	the	the	DET
dem-1057	141	35	reduced	reduced	ADJ
dem-1057	141	36	quasi	quasi	ADJ
dem-1057	141	37	-	-	ADJ
dem-1057	141	38	congruent	congruent	ADJ
dem-1057	141	39	models	model	NOUN
dem-1057	141	40	for	for	ADP
dem-1057	141	41	poviats	poviat	NOUN
dem-1057	141	42	and	and	CCONJ
dem-1057	141	43	sub	sub	NOUN
dem-1057	141	44	-	-	NOUN
dem-1057	141	45	regions	region	NOUN
dem-1057	141	46	.	.	PUNCT
dem-1057	142	1	comparing	compare	VERB
dem-1057	142	2	the	the	DET
dem-1057	142	3	results	result	NOUN
dem-1057	142	4	of	of	ADP
dem-1057	142	5	the	the	DET
dem-1057	142	6	analysis	analysis	NOUN
dem-1057	142	7	for	for	ADP
dem-1057	142	8	poviats	poviat	NOUN
dem-1057	142	9	and	and	CCONJ
dem-1057	142	10	sub	sub	NOUN
dem-1057	142	11	-	-	NOUN
dem-1057	142	12	regions	region	NOUN
dem-1057	142	13	,	,	PUNCT
dem-1057	142	14	which	which	PRON
dem-1057	142	15	are	be	AUX
dem-1057	142	16	presented	present	VERB
dem-1057	142	17	in	in	ADP
dem-1057	142	18	table	table	NOUN
dem-1057	142	19	2	2	NUM
dem-1057	142	20	,	,	PUNCT
dem-1057	142	21	it	it	PRON
dem-1057	142	22	should	should	AUX
dem-1057	142	23	be	be	AUX
dem-1057	142	24	stated	state	VERB
dem-1057	142	25	that	that	SCONJ
dem-1057	142	26	in	in	ADP
dem-1057	142	27	all	all	DET
dem-1057	142	28	the	the	DET
dem-1057	142	29	years	year	NOUN
dem-1057	142	30	the	the	DET
dem-1057	142	31	regression	regression	NOUN
dem-1057	142	32	coefficients	coefficient	NOUN
dem-1057	142	33	estimated	estimate	VERB
dem-1057	142	34	at	at	ADP
dem-1057	142	35	the	the	DET
dem-1057	142	36	level	level	NOUN
dem-1057	142	37	of	of	ADP
dem-1057	142	38	poviats	poviat	NOUN
dem-1057	142	39	,	,	PUNCT
dem-1057	142	40	are	be	AUX
dem-1057	142	41	as	as	SCONJ
dem-1057	142	42	regards	regard	VERB
dem-1057	142	43	the	the	DET
dem-1057	142	44	absolute	absolute	ADJ
dem-1057	142	45	value	value	NOUN
dem-1057	142	46	smaller	small	ADJ
dem-1057	142	47	than	than	ADP
dem-1057	142	48	their	their	PRON
dem-1057	142	49	estimates	estimate	NOUN
dem-1057	142	50	at	at	ADP
dem-1057	142	51	the	the	DET
dem-1057	142	52	level	level	NOUN
dem-1057	142	53	of	of	ADP
dem-1057	142	54	sub	sub	NOUN
dem-1057	142	55	-	-	NOUN
dem-1057	142	56	regions	region	NOUN
dem-1057	142	57	.	.	PUNCT
dem-1057	143	1	however	however	ADV
dem-1057	143	2	,	,	PUNCT
dem-1057	143	3	the	the	DET
dem-1057	143	4	coefficients	coefficient	NOUN
dem-1057	143	5	of	of	ADP
dem-1057	143	6	autoregression	autoregression	NOUN
dem-1057	143	7	in	in	ADP
dem-1057	143	8	the	the	DET
dem-1057	143	9	considered	considered	ADJ
dem-1057	143	10	years	year	NOUN
dem-1057	143	11	are	be	AUX
dem-1057	143	12	always	always	ADV
dem-1057	143	13	bigger	big	ADJ
dem-1057	143	14	for	for	ADP
dem-1057	143	15	poviats	poviat	NOUN
dem-1057	143	16	than	than	ADP
dem-1057	143	17	for	for	ADP
dem-1057	143	18	sub	sub	NOUN
dem-1057	143	19	-	-	NOUN
dem-1057	143	20	regions	region	NOUN
dem-1057	143	21	.	.	PUNCT
dem-1057	144	1	identification	identification	NOUN
dem-1057	144	2	of	of	ADP
dem-1057	144	3	the	the	DET
dem-1057	144	4	structures	structure	NOUN
dem-1057	144	5	of	of	ADP
dem-1057	144	6	spatial	spatial	ADJ
dem-1057	144	7	and	and	CCONJ
dem-1057	144	8	spatio	spatio	ADJ
dem-1057	144	9	-	-	PUNCT
dem-1057	144	10	temporal	temporal	ADJ
dem-1057	144	11	processes	process	NOUN
dem-1057	144	12	…	…	PUNCT
dem-1057	144	13	13	13	NUM
dem-1057	144	14	spatio	spatio	NOUN
dem-1057	144	15	-	-	PUNCT
dem-1057	144	16	temporal	temporal	ADJ
dem-1057	144	17	models	model	NOUN
dem-1057	144	18	–	–	PUNCT
dem-1057	144	19	variant	variant	NOUN
dem-1057	144	20	i	i	PRON
dem-1057	144	21	constructing	construct	VERB
dem-1057	144	22	the	the	DET
dem-1057	144	23	spatio	spatio	ADJ
dem-1057	144	24	-	-	PUNCT
dem-1057	144	25	temporal	temporal	ADJ
dem-1057	144	26	models	model	NOUN
dem-1057	144	27	the	the	DET
dem-1057	144	28	analogous	analogous	ADJ
dem-1057	144	29	structure	structure	NOUN
dem-1057	144	30	of	of	ADP
dem-1057	144	31	components	component	NOUN
dem-1057	144	32	as	as	ADP
dem-1057	144	33	in	in	ADP
dem-1057	144	34	the	the	DET
dem-1057	144	35	case	case	NOUN
dem-1057	144	36	of	of	ADP
dem-1057	144	37	the	the	DET
dem-1057	144	38	spatial	spatial	ADJ
dem-1057	144	39	models	model	NOUN
dem-1057	144	40	was	be	AUX
dem-1057	144	41	established	establish	VERB
dem-1057	144	42	.	.	PUNCT
dem-1057	145	1	in	in	ADP
dem-1057	145	2	the	the	DET
dem-1057	145	3	analysis	analysis	NOUN
dem-1057	145	4	the	the	DET
dem-1057	145	5	deterministic	deterministic	ADJ
dem-1057	145	6	spatio	spatio	ADJ
dem-1057	145	7	-	-	PUNCT
dem-1057	145	8	temporal	temporal	ADJ
dem-1057	145	9	trends	trend	NOUN
dem-1057	145	10	were	be	AUX
dem-1057	145	11	taken	take	VERB
dem-1057	145	12	into	into	ADP
dem-1057	145	13	consideration	consideration	NOUN
dem-1057	145	14	.	.	PUNCT
dem-1057	146	1	identification	identification	NOUN
dem-1057	146	2	of	of	ADP
dem-1057	146	3	the	the	DET
dem-1057	146	4	spatio	spatio	PROPN
dem-1057	146	5	-	-	PUNCT
dem-1057	146	6	temporal	temporal	ADJ
dem-1057	146	7	autodependence	autodependence	NOUN
dem-1057	146	8	was	be	AUX
dem-1057	146	9	done	do	VERB
dem-1057	146	10	with	with	ADP
dem-1057	146	11	the	the	DET
dem-1057	146	12	use	use	NOUN
dem-1057	146	13	of	of	ADP
dem-1057	146	14	the	the	DET
dem-1057	146	15	matrix	matrix	NOUN
dem-1057	146	16	of	of	ADP
dem-1057	146	17	the	the	DET
dem-1057	146	18	form	form	NOUN
dem-1057	146	19	:	:	PUNCT
dem-1057	147	1			ADJ
dem-1057	147	2			NOUN
dem-1057	147	3			PROPN
dem-1057	147	4			PROPN
dem-1057	147	5			PROPN
dem-1057	147	6			X
dem-1057	147	7			NOUN
dem-1057	147	8			NOUN
dem-1057	147	9			NOUN
dem-1057	147	10			NOUN
dem-1057	147	11			VERB
dem-1057	147	12			PROPN
dem-1057	147	13			NUM
dem-1057	147	14	6	6	NUM
dem-1057	147	15	2	2	NUM
dem-1057	147	16	1	1	NUM
dem-1057	147	17	w00	w00	PROPN
dem-1057	147	18	0w0	0w0	NUM
dem-1057	147	19	00w	00w	PUNCT
dem-1057	148	1	w	w	NOUN
dem-1057	148	2			NOUN
dem-1057	148	3			NOUN
dem-1057	148	4			NOUN
dem-1057	148	5			NOUN
dem-1057	148	6	,	,	PUNCT
dem-1057	148	7	(	(	PUNCT
dem-1057	148	8	12	12	NUM
dem-1057	148	9	)	)	PUNCT
dem-1057	148	10	where	where	SCONJ
dem-1057	148	11	621	621	NUM
dem-1057	148	12	...	...	PUNCT
dem-1057	148	13	www	www	PROPN
dem-1057	148	14			NOUN
dem-1057	148	15	–	–	PUNCT
dem-1057	148	16	standard	standard	ADJ
dem-1057	148	17	matrixes	matrix	NOUN
dem-1057	148	18	of	of	ADP
dem-1057	148	19	the	the	DET
dem-1057	148	20	spatial	spatial	ADJ
dem-1057	148	21	connections	connection	NOUN
dem-1057	148	22	,	,	PUNCT
dem-1057	148	23	the	the	DET
dem-1057	148	24	same	same	ADJ
dem-1057	148	25	for	for	ADP
dem-1057	148	26	all	all	DET
dem-1057	148	27	the	the	DET
dem-1057	148	28	considered	considered	ADJ
dem-1057	148	29	years	year	NOUN
dem-1057	148	30	.	.	PUNCT
dem-1057	149	1	with	with	ADP
dem-1057	149	2	specification	specification	NOUN
dem-1057	149	3	of	of	ADP
dem-1057	149	4	the	the	DET
dem-1057	149	5	fundamental	fundamental	ADJ
dem-1057	149	6	models	model	NOUN
dem-1057	149	7	it	it	PRON
dem-1057	149	8	was	be	AUX
dem-1057	149	9	confirmed	confirm	VERB
dem-1057	149	10	,	,	PUNCT
dem-1057	149	11	that	that	SCONJ
dem-1057	149	12	both	both	CCONJ
dem-1057	149	13	the	the	DET
dem-1057	149	14	unemployment	unemployment	NOUN
dem-1057	149	15	rate	rate	NOUN
dem-1057	149	16	and	and	CCONJ
dem-1057	149	17	the	the	DET
dem-1057	149	18	investment	investment	NOUN
dem-1057	149	19	outlays	outlay	NOUN
dem-1057	149	20	showed	show	VERB
dem-1057	149	21	the	the	DET
dem-1057	149	22	spatio	spatio	PROPN
dem-1057	149	23	-	-	PUNCT
dem-1057	149	24	temporal	temporal	ADJ
dem-1057	149	25	trends	trend	NOUN
dem-1057	149	26	of	of	ADP
dem-1057	149	27	the	the	DET
dem-1057	149	28	1st	1st	ADJ
dem-1057	149	29	degree	degree	NOUN
dem-1057	149	30	and	and	CCONJ
dem-1057	149	31	spatial	spatial	ADJ
dem-1057	149	32	autodependence	autodependence	NOUN
dem-1057	149	33	of	of	ADP
dem-1057	149	34	the	the	DET
dem-1057	149	35	1st	1st	ADJ
dem-1057	149	36	order	order	NOUN
dem-1057	149	37	.	.	PUNCT
dem-1057	150	1	the	the	DET
dem-1057	150	2	components	component	NOUN
dem-1057	150	3	were	be	AUX
dem-1057	150	4	observed	observe	VERB
dem-1057	150	5	as	as	ADV
dem-1057	150	6	well	well	ADV
dem-1057	150	7	at	at	ADP
dem-1057	150	8	the	the	DET
dem-1057	150	9	level	level	NOUN
dem-1057	150	10	of	of	ADP
dem-1057	150	11	poviats	poviat	NOUN
dem-1057	150	12	as	as	ADP
dem-1057	150	13	at	at	ADP
dem-1057	150	14	the	the	DET
dem-1057	150	15	level	level	NOUN
dem-1057	150	16	of	of	ADP
dem-1057	150	17	subregions	subregion	NOUN
dem-1057	150	18	and	and	CCONJ
dem-1057	150	19	they	they	PRON
dem-1057	150	20	were	be	AUX
dem-1057	150	21	taken	take	VERB
dem-1057	150	22	into	into	ADP
dem-1057	150	23	account	account	NOUN
dem-1057	150	24	in	in	ADP
dem-1057	150	25	the	the	DET
dem-1057	150	26	quasi	quasi	ADJ
dem-1057	150	27	-	-	ADJ
dem-1057	150	28	congruent	congruent	ADJ
dem-1057	150	29	spatio	spatio	ADJ
dem-1057	150	30	-	-	PUNCT
dem-1057	150	31	temporal	temporal	ADJ
dem-1057	150	32	models	model	NOUN
dem-1057	150	33	constructed	construct	VERB
dem-1057	150	34	afterwards	afterwards	ADV
dem-1057	150	35	.	.	PUNCT
dem-1057	151	1	since	since	SCONJ
dem-1057	151	2	the	the	DET
dem-1057	151	3	full	full	ADJ
dem-1057	151	4	models	model	NOUN
dem-1057	151	5	contained	contain	VERB
dem-1057	151	6	insignificant	insignificant	ADJ
dem-1057	151	7	variables	variable	NOUN
dem-1057	151	8	they	they	PRON
dem-1057	151	9	were	be	AUX
dem-1057	151	10	eliminated	eliminate	VERB
dem-1057	151	11	and	and	CCONJ
dem-1057	151	12	in	in	ADP
dem-1057	151	13	this	this	DET
dem-1057	151	14	way	way	NOUN
dem-1057	151	15	the	the	DET
dem-1057	151	16	reduced	reduce	VERB
dem-1057	151	17	models	model	NOUN
dem-1057	151	18	were	be	AUX
dem-1057	151	19	obtained	obtain	VERB
dem-1057	151	20	.	.	PUNCT
dem-1057	151	21	table	table	NOUN
dem-1057	151	22	3	3	NUM
dem-1057	151	23	contains	contain	VERB
dem-1057	151	24	the	the	DET
dem-1057	151	25	characteristics	characteristic	NOUN
dem-1057	151	26	of	of	ADP
dem-1057	151	27	the	the	DET
dem-1057	151	28	quasi	quasi	ADJ
dem-1057	151	29	-	-	ADJ
dem-1057	151	30	congruent	congruent	ADJ
dem-1057	151	31	models	model	NOUN
dem-1057	151	32	obtained	obtain	VERB
dem-1057	151	33	in	in	ADP
dem-1057	151	34	the	the	DET
dem-1057	151	35	investigation	investigation	NOUN
dem-1057	151	36	at	at	ADP
dem-1057	151	37	the	the	DET
dem-1057	151	38	level	level	NOUN
dem-1057	151	39	of	of	ADP
dem-1057	151	40	poviats	poviat	NOUN
dem-1057	151	41	,	,	PUNCT
dem-1057	151	42	yet	yet	CCONJ
dem-1057	151	43	table	table	NOUN
dem-1057	151	44	4	4	NUM
dem-1057	151	45	presents	present	VERB
dem-1057	151	46	the	the	DET
dem-1057	151	47	analogous	analogous	ADJ
dem-1057	151	48	specification	specification	NOUN
dem-1057	151	49	for	for	ADP
dem-1057	151	50	sub	sub	NOUN
dem-1057	151	51	-	-	NOUN
dem-1057	151	52	regions	region	NOUN
dem-1057	151	53	.	.	PUNCT
dem-1057	152	1	the	the	DET
dem-1057	152	2	reduced	reduce	VERB
dem-1057	152	3	models	model	NOUN
dem-1057	152	4	do	do	AUX
dem-1057	152	5	not	not	PART
dem-1057	152	6	contain	contain	VERB
dem-1057	152	7	the	the	DET
dem-1057	152	8	spatially	spatially	ADV
dem-1057	152	9	lagged	lag	VERB
dem-1057	152	10	investments	investment	NOUN
dem-1057	152	11	.	.	PUNCT
dem-1057	153	1	this	this	PRON
dem-1057	153	2	means	mean	VERB
dem-1057	153	3	that	that	SCONJ
dem-1057	153	4	the	the	DET
dem-1057	153	5	unemployment	unemployment	NOUN
dem-1057	153	6	in	in	ADP
dem-1057	153	7	the	the	DET
dem-1057	153	8	given	give	VERB
dem-1057	153	9	poviat	poviat	NOUN
dem-1057	153	10	does	do	AUX
dem-1057	153	11	not	not	PART
dem-1057	153	12	depend	depend	VERB
dem-1057	153	13	on	on	ADP
dem-1057	153	14	the	the	DET
dem-1057	153	15	investment	investment	NOUN
dem-1057	153	16	outlays	outlay	NOUN
dem-1057	153	17	in	in	ADP
dem-1057	153	18	the	the	DET
dem-1057	153	19	neighbouring	neighbouring	ADJ
dem-1057	153	20	poviats	poviat	NOUN
dem-1057	153	21	.	.	PUNCT
dem-1057	154	1	the	the	DET
dem-1057	154	2	current	current	ADJ
dem-1057	154	3	unemployment	unemployment	NOUN
dem-1057	154	4	in	in	ADP
dem-1057	154	5	the	the	DET
dem-1057	154	6	given	give	VERB
dem-1057	154	7	poviat	poviat	NOUN
dem-1057	154	8	is	be	AUX
dem-1057	154	9	influenced	influence	VERB
dem-1057	154	10	by	by	ADP
dem-1057	154	11	the	the	DET
dem-1057	154	12	current	current	ADJ
dem-1057	154	13	investment	investment	NOUN
dem-1057	154	14	outlays	outlay	NOUN
dem-1057	154	15	in	in	ADP
dem-1057	154	16	the	the	DET
dem-1057	154	17	same	same	ADJ
dem-1057	154	18	poviat	poviat	NOUN
dem-1057	154	19	(	(	PUNCT
dem-1057	154	20	each	each	PRON
dem-1057	154	21	thousand	thousand	NUM
dem-1057	154	22	pln	pln	NOUN
dem-1057	154	23	spent	spend	VERB
dem-1057	154	24	causes	cause	VERB
dem-1057	154	25	the	the	DET
dem-1057	154	26	unemployment	unemployment	NOUN
dem-1057	154	27	rate	rate	NOUN
dem-1057	154	28	to	to	PART
dem-1057	154	29	decrease	decrease	VERB
dem-1057	154	30	on	on	ADP
dem-1057	154	31	the	the	DET
dem-1057	154	32	average	average	NOUN
dem-1057	154	33	by	by	ADP
dem-1057	154	34	0.93	0.93	NUM
dem-1057	154	35	percentage	percentage	NOUN
dem-1057	154	36	point	point	NOUN
dem-1057	154	37	)	)	PUNCT
dem-1057	154	38	and	and	CCONJ
dem-1057	154	39	by	by	ADP
dem-1057	154	40	the	the	DET
dem-1057	154	41	level	level	NOUN
dem-1057	154	42	of	of	ADP
dem-1057	154	43	unemployment	unemployment	NOUN
dem-1057	154	44	in	in	ADP
dem-1057	154	45	the	the	DET
dem-1057	154	46	neighbouring	neighbouring	NOUN
dem-1057	154	47	poviats	poviat	NOUN
dem-1057	154	48	(	(	PUNCT
dem-1057	154	49	the	the	DET
dem-1057	154	50	change	change	NOUN
dem-1057	154	51	of	of	ADP
dem-1057	154	52	the	the	DET
dem-1057	154	53	unemployment	unemployment	NOUN
dem-1057	154	54	rate	rate	NOUN
dem-1057	154	55	in	in	ADP
dem-1057	154	56	the	the	DET
dem-1057	154	57	given	give	VERB
dem-1057	154	58	poviat	poviat	NOUN
dem-1057	154	59	by	by	ADP
dem-1057	154	60	about	about	ADV
dem-1057	154	61	0.69	0.69	NUM
dem-1057	154	62	percentage	percentage	NOUN
dem-1057	154	63	point	point	NOUN
dem-1057	154	64	is	be	AUX
dem-1057	154	65	connected	connect	VERB
dem-1057	154	66	with	with	ADP
dem-1057	154	67	the	the	DET
dem-1057	154	68	one	one	NUM
dem-1057	154	69	percentage	percentage	NOUN
dem-1057	154	70	change	change	NOUN
dem-1057	154	71	of	of	ADP
dem-1057	154	72	the	the	DET
dem-1057	154	73	unemployment	unemployment	NOUN
dem-1057	154	74	rate	rate	NOUN
dem-1057	154	75	in	in	ADP
dem-1057	154	76	the	the	DET
dem-1057	154	77	neighbouring	neighbouring	ADJ
dem-1057	154	78	poviats	poviat	NOUN
dem-1057	154	79	)	)	PUNCT
dem-1057	154	80	.	.	PUNCT
dem-1057	155	1	likewise	likewise	ADV
dem-1057	155	2	,	,	PUNCT
dem-1057	155	3	the	the	DET
dem-1057	155	4	unemployment	unemployment	NOUN
dem-1057	155	5	in	in	ADP
dem-1057	155	6	the	the	DET
dem-1057	155	7	given	give	VERB
dem-1057	155	8	sub	sub	NOUN
dem-1057	155	9	-	-	NOUN
dem-1057	155	10	region	region	NOUN
dem-1057	155	11	does	do	AUX
dem-1057	155	12	not	not	PART
dem-1057	155	13	depend	depend	VERB
dem-1057	155	14	on	on	ADP
dem-1057	155	15	the	the	DET
dem-1057	155	16	investment	investment	NOUN
dem-1057	155	17	outlays	outlay	NOUN
dem-1057	155	18	in	in	ADP
dem-1057	155	19	the	the	DET
dem-1057	155	20	neighbouring	neighbouring	ADJ
dem-1057	155	21	sub	sub	NOUN
dem-1057	155	22	-	-	NOUN
dem-1057	155	23	regions	region	NOUN
dem-1057	155	24	.	.	PUNCT
dem-1057	156	1	the	the	DET
dem-1057	156	2	current	current	ADJ
dem-1057	156	3	unemployment	unemployment	NOUN
dem-1057	156	4	rate	rate	NOUN
dem-1057	156	5	in	in	ADP
dem-1057	156	6	the	the	DET
dem-1057	156	7	given	give	VERB
dem-1057	156	8	sub	sub	NOUN
dem-1057	156	9	-	-	NOUN
dem-1057	156	10	region	region	NOUN
dem-1057	156	11	is	be	AUX
dem-1057	156	12	influenced	influence	VERB
dem-1057	156	13	by	by	ADP
dem-1057	156	14	the	the	DET
dem-1057	156	15	current	current	ADJ
dem-1057	156	16	investment	investment	NOUN
dem-1057	156	17	outlays	outlay	NOUN
dem-1057	156	18	in	in	ADP
dem-1057	156	19	this	this	DET
dem-1057	156	20	sub	sub	NOUN
dem-1057	156	21	-	-	NOUN
dem-1057	156	22	region	region	NOUN
dem-1057	156	23	(	(	PUNCT
dem-1057	156	24	each	each	DET
dem-1057	156	25	thousand	thousand	NUM
dem-1057	156	26	pln	pln	NOUN
dem-1057	156	27	spent	spend	VERB
dem-1057	156	28	causes	cause	VERB
dem-1057	156	29	the	the	DET
dem-1057	156	30	unemployment	unemployment	NOUN
dem-1057	156	31	rate	rate	NOUN
dem-1057	156	32	to	to	PART
dem-1057	156	33	decrease	decrease	VERB
dem-1057	156	34	by	by	ADP
dem-1057	156	35	about	about	ADV
dem-1057	156	36	1.74	1.74	NUM
dem-1057	156	37	percentage	percentage	NOUN
dem-1057	156	38	point	point	NOUN
dem-1057	156	39	)	)	PUNCT
dem-1057	156	40	and	and	CCONJ
dem-1057	156	41	by	by	ADP
dem-1057	156	42	unemployment	unemployment	NOUN
dem-1057	156	43	rate	rate	NOUN
dem-1057	156	44	in	in	ADP
dem-1057	156	45	the	the	DET
dem-1057	156	46	neighbouring	neighbouring	ADJ
dem-1057	156	47	sub	sub	NOUN
dem-1057	156	48	-	-	NOUN
dem-1057	156	49	regions	region	NOUN
dem-1057	156	50	(	(	PUNCT
dem-1057	156	51	the	the	DET
dem-1057	156	52	increase	increase	NOUN
dem-1057	156	53	of	of	ADP
dem-1057	156	54	the	the	DET
dem-1057	156	55	unemployment	unemployment	NOUN
dem-1057	156	56	rate	rate	NOUN
dem-1057	156	57	in	in	ADP
dem-1057	156	58	the	the	DET
dem-1057	156	59	neighbouring	neighbouring	ADJ
dem-1057	156	60	sub	sub	NOUN
dem-1057	156	61	-	-	NOUN
dem-1057	156	62	regions	region	NOUN
dem-1057	156	63	by	by	ADP
dem-1057	156	64	one	one	NUM
dem-1057	156	65	percentage	percentage	NOUN
dem-1057	156	66	point	point	NOUN
dem-1057	156	67	is	be	AUX
dem-1057	156	68	connected	connect	VERB
dem-1057	156	69	with	with	ADP
dem-1057	156	70	the	the	DET
dem-1057	156	71	increase	increase	NOUN
dem-1057	156	72	of	of	ADP
dem-1057	156	73	the	the	DET
dem-1057	156	74	unemployment	unemployment	NOUN
dem-1057	156	75	rate	rate	NOUN
dem-1057	156	76	in	in	ADP
dem-1057	156	77	a	a	DET
dem-1057	156	78	given	give	VERB
dem-1057	156	79	sub	sub	NOUN
dem-1057	156	80	-	-	NOUN
dem-1057	156	81	region	region	NOUN
dem-1057	156	82	by	by	ADP
dem-1057	156	83	about	about	ADV
dem-1057	156	84	0.39	0.39	NUM
dem-1057	156	85	percentage	percentage	NOUN
dem-1057	156	86	point	point	NOUN
dem-1057	156	87	)	)	PUNCT
dem-1057	156	88	.	.	PUNCT
dem-1057	157	1	elżbieta	elżbieta	PROPN
dem-1057	157	2	szulc	szulc	PROPN
dem-1057	157	3	14	14	NUM
dem-1057	157	4	the	the	DET
dem-1057	157	5	coefficient	coefficient	NOUN
dem-1057	157	6	which	which	PRON
dem-1057	157	7	measures	measure	VERB
dem-1057	157	8	the	the	DET
dem-1057	157	9	influence	influence	NOUN
dem-1057	157	10	of	of	ADP
dem-1057	157	11	the	the	DET
dem-1057	157	12	investment	investment	NOUN
dem-1057	157	13	outlays	outlay	NOUN
dem-1057	157	14	on	on	ADP
dem-1057	157	15	the	the	DET
dem-1057	157	16	unemployment	unemployment	NOUN
dem-1057	157	17	rate	rate	NOUN
dem-1057	157	18	in	in	ADP
dem-1057	157	19	a	a	DET
dem-1057	157	20	sub	sub	ADJ
dem-1057	157	21	-	-	NOUN
dem-1057	157	22	region	region	NOUN
dem-1057	157	23	differs	differ	VERB
dem-1057	157	24	from	from	ADP
dem-1057	157	25	the	the	DET
dem-1057	157	26	analogous	analogous	ADJ
dem-1057	157	27	coefficient	coefficient	NOUN
dem-1057	157	28	which	which	PRON
dem-1057	157	29	is	be	AUX
dem-1057	157	30	estimated	estimate	VERB
dem-1057	157	31	at	at	ADP
dem-1057	157	32	the	the	DET
dem-1057	157	33	level	level	NOUN
dem-1057	157	34	of	of	ADP
dem-1057	157	35	poviats	poviat	NOUN
dem-1057	157	36	.	.	PUNCT
dem-1057	158	1	the	the	DET
dem-1057	158	2	main	main	ADJ
dem-1057	158	3	reason	reason	NOUN
dem-1057	158	4	of	of	ADP
dem-1057	158	5	the	the	DET
dem-1057	158	6	difference	difference	NOUN
dem-1057	158	7	observed	observe	VERB
dem-1057	158	8	is	be	AUX
dem-1057	158	9	the	the	DET
dem-1057	158	10	spatial	spatial	ADJ
dem-1057	158	11	autocorrelation	autocorrelation	NOUN
dem-1057	158	12	in	in	ADP
dem-1057	158	13	unemployment	unemployment	NOUN
dem-1057	158	14	and	and	CCONJ
dem-1057	158	15	also	also	ADV
dem-1057	158	16	in	in	ADP
dem-1057	158	17	investments	investment	NOUN
dem-1057	158	18	.	.	PUNCT
dem-1057	159	1	the	the	DET
dem-1057	159	2	value	value	NOUN
dem-1057	159	3	of	of	ADP
dem-1057	159	4	coefficient	coefficient	NOUN
dem-1057	159	5			NUM
dem-1057	159	6	for	for	ADP
dem-1057	159	7	sub	sub	NOUN
dem-1057	159	8	-	-	NOUN
dem-1057	159	9	regions	region	NOUN
dem-1057	159	10	is	be	AUX
dem-1057	159	11	bigger	big	ADJ
dem-1057	159	12	than	than	ADP
dem-1057	159	13	for	for	ADP
dem-1057	159	14	poviats	poviat	NOUN
dem-1057	159	15	.	.	PUNCT
dem-1057	160	1	in	in	ADP
dem-1057	160	2	turn	turn	NOUN
dem-1057	160	3	,	,	PUNCT
dem-1057	160	4	autoregression	autoregression	NOUN
dem-1057	160	5	coefficient	coefficient	NOUN
dem-1057	160	6			NOUN
dem-1057	160	7	,	,	PUNCT
dem-1057	160	8	which	which	PRON
dem-1057	160	9	measures	measure	VERB
dem-1057	160	10	the	the	DET
dem-1057	160	11	connections	connection	NOUN
dem-1057	160	12	among	among	ADP
dem-1057	160	13	the	the	DET
dem-1057	160	14	unemployment	unemployment	NOUN
dem-1057	160	15	rates	rate	NOUN
dem-1057	160	16	in	in	ADP
dem-1057	160	17	the	the	DET
dem-1057	160	18	neighbouring	neighbouring	NOUN
dem-1057	160	19	areas	area	NOUN
dem-1057	160	20	at	at	ADP
dem-1057	160	21	the	the	DET
dem-1057	160	22	level	level	NOUN
dem-1057	160	23	of	of	ADP
dem-1057	160	24	subregions	subregion	NOUN
dem-1057	160	25	is	be	AUX
dem-1057	160	26	visibly	visibly	ADV
dem-1057	160	27	smaller	small	ADJ
dem-1057	160	28	than	than	ADP
dem-1057	160	29	the	the	DET
dem-1057	160	30	analogous	analogous	ADJ
dem-1057	160	31	parameter	parameter	NOUN
dem-1057	160	32	estimated	estimate	VERB
dem-1057	160	33	for	for	ADP
dem-1057	160	34	poviats	poviat	NOUN
dem-1057	160	35	.	.	PUNCT
dem-1057	161	1	the	the	DET
dem-1057	161	2	results	result	NOUN
dem-1057	161	3	are	be	AUX
dem-1057	161	4	analogous	analogous	ADJ
dem-1057	161	5	to	to	ADP
dem-1057	161	6	the	the	DET
dem-1057	161	7	ones	one	NOUN
dem-1057	161	8	obtained	obtain	VERB
dem-1057	161	9	previously	previously	ADV
dem-1057	161	10	for	for	ADP
dem-1057	161	11	the	the	DET
dem-1057	161	12	spatial	spatial	ADJ
dem-1057	161	13	models	model	NOUN
dem-1057	161	14	constructed	construct	VERB
dem-1057	161	15	for	for	ADP
dem-1057	161	16	the	the	DET
dem-1057	161	17	successive	successive	ADJ
dem-1057	161	18	years	year	NOUN
dem-1057	161	19	.	.	PUNCT
dem-1057	162	1	they	they	PRON
dem-1057	162	2	are	be	AUX
dem-1057	162	3	also	also	ADV
dem-1057	162	4	convergent	convergent	ADJ
dem-1057	162	5	with	with	ADP
dem-1057	162	6	the	the	DET
dem-1057	162	7	results	result	NOUN
dem-1057	162	8	of	of	ADP
dem-1057	162	9	the	the	DET
dem-1057	162	10	previous	previous	ADJ
dem-1057	162	11	analyses	analysis	NOUN
dem-1057	162	12	,	,	PUNCT
dem-1057	162	13	pointed	point	VERB
dem-1057	162	14	out	out	ADP
dem-1057	162	15	in	in	ADP
dem-1057	162	16	the	the	DET
dem-1057	162	17	introduction	introduction	NOUN
dem-1057	162	18	,	,	PUNCT
dem-1057	162	19	which	which	PRON
dem-1057	162	20	were	be	AUX
dem-1057	162	21	obtained	obtain	VERB
dem-1057	162	22	on	on	ADP
dem-1057	162	23	the	the	DET
dem-1057	162	24	basis	basis	NOUN
dem-1057	162	25	of	of	ADP
dem-1057	162	26	the	the	DET
dem-1057	162	27	generated	generate	VERB
dem-1057	162	28	data	datum	NOUN
dem-1057	162	29	(	(	PUNCT
dem-1057	162	30	especially	especially	ADV
dem-1057	162	31	,	,	PUNCT
dem-1057	162	32	when	when	SCONJ
dem-1057	162	33	y	y	VERB
dem-1057	162	34	>	>	X
dem-1057	162	35	x	x	NOUN
dem-1057	162	36	,	,	PUNCT
dem-1057	162	37	the	the	DET
dem-1057	162	38	coefficient	coefficient	NOUN
dem-1057	162	39	of	of	ADP
dem-1057	162	40	regression	regression	NOUN
dem-1057	162	41	,	,	PUNCT
dem-1057	162	42	estimated	estimate	VERB
dem-1057	162	43	on	on	ADP
dem-1057	162	44	the	the	DET
dem-1057	162	45	basis	basis	NOUN
dem-1057	162	46	of	of	ADP
dem-1057	162	47	the	the	DET
dem-1057	162	48	aggregated	aggregate	VERB
dem-1057	162	49	data	datum	NOUN
dem-1057	162	50	,	,	PUNCT
dem-1057	162	51	is	be	AUX
dem-1057	162	52	overestimated	overestimate	VERB
dem-1057	162	53	)	)	PUNCT
dem-1057	162	54	.	.	PUNCT
dem-1057	163	1	table	table	NOUN
dem-1057	163	2	3	3	NUM
dem-1057	163	3	.	.	PUNCT
dem-1057	164	1	characteristics	characteristic	NOUN
dem-1057	164	2	of	of	ADP
dem-1057	164	3	quasi	quasi	ADJ
dem-1057	164	4	-	-	ADJ
dem-1057	164	5	congruent	congruent	ADJ
dem-1057	164	6	models	model	NOUN
dem-1057	164	7	for	for	ADP
dem-1057	164	8	poviats	poviat	NOUN
dem-1057	164	9	–	–	PUNCT
dem-1057	164	10	variant	variant	NOUN
dem-1057	164	11	i	i	PRON
dem-1057	164	12	full	full	ADJ
dem-1057	164	13	model	model	NOUN
dem-1057	164	14	:	:	PUNCT
dem-1057	164	15			NOUN
dem-1057	164	16			PROPN
dem-1057	164	17			NOUN
dem-1057	164	18			SYM
dem-1057	164	19			NOUN
dem-1057	164	20			SYM
dem-1057	164	21			NOUN
dem-1057	164	22			SYM
dem-1057	164	23			NOUN
dem-1057	165	1	ttxtxtytppty	ttxtxtytppty	CCONJ
dem-1057	165	2	,	,	PUNCT
dem-1057	165	3	,	,	PUNCT
dem-1057	165	4	,	,	PUNCT
dem-1057	165	5	,	,	PUNCT
dem-1057	165	6	,	,	PUNCT
dem-1057	165	7	00120101100000	00120101100000	NUM
dem-1057	165	8	ppwppwp	ppwppwp	PROPN
dem-1057	165	9			PROPN
dem-1057	165	10			VERB
dem-1057	165	11	parameters	parameter	NOUN
dem-1057	165	12	estimates	estimate	NOUN
dem-1057	165	13	of	of	ADP
dem-1057	165	14	parameters	parameter	NOUN
dem-1057	165	15	standard	standard	ADJ
dem-1057	165	16	deviations	deviation	NOUN
dem-1057	165	17	statistics	statistic	NOUN
dem-1057	165	18	z	z	PROPN
dem-1057	165	19	pr(>|z|	pr(>|z|	PROPN
dem-1057	165	20	)	)	PUNCT
dem-1057	165	21	000	000	PROPN
dem-1057	165	22	100	100	VERB
dem-1057	165	23	010	010	PROPN
dem-1057	165	24	001	001	PROPN
dem-1057	165	25			NUM
dem-1057	165	26			NUM
dem-1057	165	27	7.6305	7.6305	NUM
dem-1057	165	28	-0.1892	-0.1892	NOUN
dem-1057	165	29	0.3472	0.3472	NUM
dem-1057	165	30	-0.3433	-0.3433	NOUN
dem-1057	165	31	-0.9315	-0.9315	PROPN
dem-1057	166	1	-0.0332	-0.0332	X
dem-1057	167	1	0.6915	0.6915	NUM
dem-1057	167	2	0.0652	0.0652	NUM
dem-1057	167	3	0.0664	0.0664	NUM
dem-1057	167	4	0.0665	0.0665	NUM
dem-1057	167	5	0.0504	0.0504	NUM
dem-1057	167	6	0.1085	0.1085	NUM
dem-1057	167	7	11.0347	11.0347	NUM
dem-1057	167	8	-2.9025	-2.9025	NOUN
dem-1057	167	9	5.2255	5.2255	NUM
dem-1057	167	10	-5.1612	-5.1612	NOUN
dem-1057	167	11	-18.4788	-18.4788	PUNCT
dem-1057	167	12	-0.3060	-0.3060	NOUN
dem-1057	167	13	0.0000	0.0000	NUM
dem-1057	167	14	0.0037	0.0037	NUM
dem-1057	167	15	0.0000	0.0000	NUM
dem-1057	167	16	0.0000	0.0000	NUM
dem-1057	167	17	0.0000	0.0000	NUM
dem-1057	167	18	0.7596	0.7596	NUM
dem-1057	167	19			ADP
dem-1057	167	20	=	=	PUNCT
dem-1057	167	21	0.6872	0.6872	NUM
dem-1057	167	22	test	test	NOUN
dem-1057	167	23	lr	lr	X
dem-1057	167	24	:	:	PUNCT
dem-1057	167	25	967.48	967.48	NUM
dem-1057	167	26	;	;	PUNCT
dem-1057	168	1	p	p	X
dem-1057	168	2	-	-	PUNCT
dem-1057	168	3	value	value	NOUN
dem-1057	168	4	:	:	PUNCT
dem-1057	168	5	0.0000	0.0000	NUM
dem-1057	168	6	wald	wald	NOUN
dem-1057	168	7	statistic	statistic	NOUN
dem-1057	168	8	:	:	PUNCT
dem-1057	168	9	1409.3	1409.3	NUM
dem-1057	168	10	;	;	PUNCT
dem-1057	168	11	p	p	X
dem-1057	168	12	-	-	PUNCT
dem-1057	168	13	value	value	NOUN
dem-1057	168	14	:	:	PUNCT
dem-1057	168	15	0.0000	0.0000	NUM
dem-1057	168	16	aic	aic	PROPN
dem-1057	168	17	:	:	PUNCT
dem-1057	168	18	13592	13592	NUM
dem-1057	168	19	(	(	PUNCT
dem-1057	168	20	aic	aic	PROPN
dem-1057	168	21	for	for	ADP
dem-1057	168	22	lm	lm	PROPN
dem-1057	168	23	:	:	PUNCT
dem-1057	168	24	14557	14557	NUM
dem-1057	168	25	)	)	PUNCT
dem-1057	168	26	residual	residual	ADJ
dem-1057	168	27	autocorrelation	autocorrelation	NOUN
dem-1057	168	28	test	test	NOUN
dem-1057	168	29	lm	lm	ADP
dem-1057	168	30	:	:	PUNCT
dem-1057	168	31	4.2911	4.2911	NUM
dem-1057	168	32	;	;	PUNCT
dem-1057	168	33	p	p	X
dem-1057	168	34	-	-	PUNCT
dem-1057	168	35	value	value	NOUN
dem-1057	168	36	:	:	PUNCT
dem-1057	168	37	0.0383	0.0383	NUM
dem-1057	168	38	;	;	PUNCT
dem-1057	168	39	moran	moran	PROPN
dem-1057	168	40	statistic	statistic	PROPN
dem-1057	168	41	:	:	PUNCT
dem-1057	168	42	-0.8026	-0.8026	PROPN
dem-1057	168	43	;	;	PUNCT
dem-1057	168	44	p	p	X
dem-1057	168	45	-	-	PUNCT
dem-1057	168	46	value	value	NOUN
dem-1057	168	47	:	:	PUNCT
dem-1057	168	48	0.2111	0.2111	NUM
dem-1057	168	49	reduced	reduced	ADJ
dem-1057	168	50	model	model	NOUN
dem-1057	168	51	:	:	PUNCT
dem-1057	168	52			NOUN
dem-1057	168	53			PROPN
dem-1057	168	54			NOUN
dem-1057	168	55			SYM
dem-1057	168	56			NOUN
dem-1057	168	57			SYM
dem-1057	168	58			NOUN
dem-1057	168	59	ttxtytppty	ttxtytppty	PUNCT
dem-1057	168	60	,	,	PUNCT
dem-1057	168	61	,	,	PUNCT
dem-1057	168	62	,	,	PUNCT
dem-1057	168	63	,	,	PUNCT
dem-1057	168	64	00120101100000	00120101100000	NUM
dem-1057	168	65	pppwp	pppwp	VERB
dem-1057	168	66			NOUN
dem-1057	168	67			VERB
dem-1057	168	68	parameters	parameter	NOUN
dem-1057	168	69	estimates	estimate	NOUN
dem-1057	168	70	of	of	ADP
dem-1057	168	71	parameters	parameter	NOUN
dem-1057	168	72	standard	standard	ADJ
dem-1057	168	73	deviations	deviation	NOUN
dem-1057	168	74	statistics	statistic	NOUN
dem-1057	168	75	z	z	PROPN
dem-1057	168	76	pr(>|z|	pr(>|z|	PROPN
dem-1057	168	77	)	)	PUNCT
dem-1057	169	1	000	000	PROPN
dem-1057	169	2	100	100	VERB
dem-1057	169	3	010	010	NOUN
dem-1057	169	4	001	001	PROPN
dem-1057	169	5			NUM
dem-1057	169	6	7.5202	7.5202	NUM
dem-1057	169	7	-0.1816	-0.1816	NOUN
dem-1057	169	8	0.3464	0.3464	NUM
dem-1057	169	9	-0.3472	-0.3472	ADJ
dem-1057	169	10	-0.9334	-0.9334	PUNCT
dem-1057	170	1	0.6092	0.6092	NUM
dem-1057	171	1	0.0613	0.0613	NUM
dem-1057	171	2	0.0664	0.0664	NUM
dem-1057	171	3	0.0647	0.0647	NUM
dem-1057	171	4	0.0499	0.0499	NUM
dem-1057	171	5	12.3439	12.3439	NUM
dem-1057	171	6	-2.9644	-2.9644	ADJ
dem-1057	172	1	5.2171	5.2171	NUM
dem-1057	172	2	-5.3681	-5.3681	X
dem-1057	172	3	-18.6968	-18.6968	PUNCT
dem-1057	172	4	0.0000	0.0000	NUM
dem-1057	172	5	0.0030	0.0030	NUM
dem-1057	172	6	0.0000	0.0000	NUM
dem-1057	172	7	0.0000	0.0000	NUM
dem-1057	172	8	0.0000	0.0000	NUM
dem-1057	173	1			ADP
dem-1057	173	2	=	=	PUNCT
dem-1057	173	3	0.6890	0.6890	NUM
dem-1057	173	4	test	test	NOUN
dem-1057	173	5	lr	lr	NOUN
dem-1057	173	6	:	:	PUNCT
dem-1057	173	7	1090.4	1090.4	NUM
dem-1057	173	8	;	;	PUNCT
dem-1057	173	9	p	p	X
dem-1057	173	10	-	-	PUNCT
dem-1057	173	11	value	value	NOUN
dem-1057	173	12	:	:	PUNCT
dem-1057	173	13	0.0000	0.0000	NUM
dem-1057	173	14	wald	wald	NOUN
dem-1057	173	15	statistic	statistic	NOUN
dem-1057	173	16	:	:	PUNCT
dem-1057	173	17	1538	1538	NUM
dem-1057	173	18	;	;	PUNCT
dem-1057	173	19	p	p	X
dem-1057	173	20	-	-	PUNCT
dem-1057	173	21	value	value	NOUN
dem-1057	173	22	:	:	PUNCT
dem-1057	173	23	0.0000	0.0000	NUM
dem-1057	173	24	aic	aic	PROPN
dem-1057	173	25	:	:	PUNCT
dem-1057	173	26	13590	13590	NUM
dem-1057	173	27	(	(	PUNCT
dem-1057	173	28	aic	aic	PROPN
dem-1057	173	29	for	for	ADP
dem-1057	173	30	lm	lm	PROPN
dem-1057	173	31	:	:	PUNCT
dem-1057	173	32	14679	14679	NUM
dem-1057	173	33	)	)	PUNCT
dem-1057	173	34	residual	residual	ADJ
dem-1057	173	35	autocorrelation	autocorrelation	NOUN
dem-1057	173	36	test	test	NOUN
dem-1057	173	37	lm	lm	ADP
dem-1057	173	38	:	:	PUNCT
dem-1057	173	39	3.7569	3.7569	NUM
dem-1057	173	40	;	;	PUNCT
dem-1057	173	41	p	p	X
dem-1057	173	42	-	-	PUNCT
dem-1057	173	43	value	value	NOUN
dem-1057	173	44	:	:	PUNCT
dem-1057	173	45	0.0526	0.0526	NUM
dem-1057	173	46	test	test	NOUN
dem-1057	173	47	moran	moran	PROPN
dem-1057	173	48	statistic	statistic	PROPN
dem-1057	173	49	:	:	PUNCT
dem-1057	173	50	-0.8867	-0.8867	X
dem-1057	173	51	;	;	PUNCT
dem-1057	173	52	p	p	X
dem-1057	173	53	-	-	PUNCT
dem-1057	173	54	value	value	NOUN
dem-1057	173	55	:	:	PUNCT
dem-1057	173	56	0.1876	0.1876	NUM
dem-1057	173	57	identification	identification	NOUN
dem-1057	173	58	of	of	ADP
dem-1057	173	59	the	the	DET
dem-1057	173	60	structures	structure	NOUN
dem-1057	173	61	of	of	ADP
dem-1057	173	62	spatial	spatial	ADJ
dem-1057	173	63	and	and	CCONJ
dem-1057	173	64	spatio	spatio	ADJ
dem-1057	173	65	-	-	PUNCT
dem-1057	173	66	temporal	temporal	ADJ
dem-1057	173	67	processes	process	NOUN
dem-1057	173	68	…	…	PUNCT
dem-1057	173	69	15	15	NUM
dem-1057	173	70	table	table	NOUN
dem-1057	173	71	4	4	NUM
dem-1057	173	72	.	.	PUNCT
dem-1057	174	1	characteristics	characteristic	NOUN
dem-1057	174	2	of	of	ADP
dem-1057	174	3	quasi	quasi	ADJ
dem-1057	174	4	-	-	ADJ
dem-1057	174	5	congruent	congruent	ADJ
dem-1057	174	6	models	model	NOUN
dem-1057	174	7	for	for	ADP
dem-1057	174	8	sub	sub	NOUN
dem-1057	174	9	-	-	NOUN
dem-1057	174	10	regions	region	NOUN
dem-1057	174	11	–	–	PUNCT
dem-1057	174	12	variant	variant	NOUN
dem-1057	174	13	i	i	PRON
dem-1057	174	14	full	full	ADJ
dem-1057	174	15	model	model	NOUN
dem-1057	174	16	:	:	PUNCT
dem-1057	174	17			NOUN
dem-1057	174	18			PROPN
dem-1057	174	19			NOUN
dem-1057	174	20			SYM
dem-1057	174	21			NOUN
dem-1057	174	22			SYM
dem-1057	174	23			NOUN
dem-1057	174	24			SYM
dem-1057	174	25			NOUN
dem-1057	175	1	ttxtxtytppty	ttxtxtytppty	CCONJ
dem-1057	175	2	,	,	PUNCT
dem-1057	175	3	,	,	PUNCT
dem-1057	175	4	,	,	PUNCT
dem-1057	175	5	,	,	PUNCT
dem-1057	175	6	,	,	PUNCT
dem-1057	175	7	00120101100000	00120101100000	NUM
dem-1057	175	8	ppwppwp	ppwppwp	PROPN
dem-1057	175	9			PROPN
dem-1057	175	10			VERB
dem-1057	175	11	parameters	parameter	NOUN
dem-1057	175	12	estimates	estimate	NOUN
dem-1057	175	13	of	of	ADP
dem-1057	175	14	parameters	parameter	NOUN
dem-1057	175	15	standard	standard	ADJ
dem-1057	175	16	deviations	deviation	NOUN
dem-1057	175	17	statistics	statistic	NOUN
dem-1057	175	18	z	z	PROPN
dem-1057	175	19	pr(>|z|	pr(>|z|	PROPN
dem-1057	175	20	)	)	PUNCT
dem-1057	175	21	000	000	PROPN
dem-1057	175	22	100	100	VERB
dem-1057	175	23	010	010	PROPN
dem-1057	175	24	001	001	PROPN
dem-1057	175	25			NUM
dem-1057	175	26			NUM
dem-1057	175	27	17.2312	17.2312	NUM
dem-1057	175	28	-0.0459	-0.0459	NOUN
dem-1057	175	29	0.0482	0.0482	NUM
dem-1057	175	30	-0.5223	-0.5223	PROPN
dem-1057	175	31	-1.6817	-1.6817	NOUN
dem-1057	175	32	-0.6643	-0.6643	VERB
dem-1057	176	1	2.0420	2.0420	NUM
dem-1057	176	2	0.0156	0.0156	NUM
dem-1057	176	3	0.0151	0.0151	NUM
dem-1057	176	4	0.1628	0.1628	NUM
dem-1057	176	5	0.1431	0.1431	NUM
dem-1057	176	6	0.3645	0.3645	NUM
dem-1057	176	7	8.4384	8.4384	NUM
dem-1057	176	8	-2.9479	-2.9479	NOUN
dem-1057	176	9	3.2023	3.2023	NUM
dem-1057	176	10	-3.2082	-3.2082	NOUN
dem-1057	176	11	-11.7497	-11.7497	PUNCT
dem-1057	176	12	-1.8225	-1.8225	NOUN
dem-1057	176	13	0.0000	0.0000	NUM
dem-1057	177	1	0.0032	0.0032	NUM
dem-1057	177	2	0.0014	0.0014	NUM
dem-1057	177	3	0.0013	0.0013	NUM
dem-1057	177	4	0.0000	0.0000	NUM
dem-1057	177	5	0.0684	0.0684	NUM
dem-1057	177	6			ADP
dem-1057	177	7	=	=	SYM
dem-1057	178	1	0.3541	0.3541	NUM
dem-1057	178	2	test	test	NOUN
dem-1057	178	3	lr	lr	VERB
dem-1057	178	4	:	:	PUNCT
dem-1057	178	5	30.415	30.415	NUM
dem-1057	178	6	;	;	PUNCT
dem-1057	178	7	p	p	X
dem-1057	178	8	-	-	PUNCT
dem-1057	178	9	value	value	NOUN
dem-1057	178	10	:	:	PUNCT
dem-1057	178	11	0.0000	0.0000	NUM
dem-1057	178	12	wald	wald	NOUN
dem-1057	178	13	statistic	statistic	NOUN
dem-1057	178	14	:	:	PUNCT
dem-1057	178	15	35.928	35.928	NUM
dem-1057	178	16	;	;	PUNCT
dem-1057	178	17	p	p	X
dem-1057	178	18	-	-	PUNCT
dem-1057	178	19	value	value	NOUN
dem-1057	178	20	:	:	PUNCT
dem-1057	178	21	0.0000	0.0000	NUM
dem-1057	178	22	aic	aic	PROPN
dem-1057	178	23	:	:	PUNCT
dem-1057	178	24	2279.5	2279.5	NUM
dem-1057	178	25	(	(	PUNCT
dem-1057	178	26	aic	aic	PROPN
dem-1057	178	27	for	for	ADP
dem-1057	178	28	lm	lm	PROPN
dem-1057	178	29	:	:	PUNCT
dem-1057	178	30	2308	2308	NUM
dem-1057	178	31	)	)	PUNCT
dem-1057	178	32	residual	residual	ADJ
dem-1057	178	33	autocorrelation	autocorrelation	NOUN
dem-1057	178	34	test	test	NOUN
dem-1057	178	35	lm	lm	ADP
dem-1057	178	36	:	:	PUNCT
dem-1057	178	37	6.2037	6.2037	NUM
dem-1057	178	38	;	;	PUNCT
dem-1057	178	39	p	p	X
dem-1057	178	40	-	-	PUNCT
dem-1057	178	41	value	value	NOUN
dem-1057	178	42	:	:	PUNCT
dem-1057	178	43	0.0127	0.0127	NUM
dem-1057	178	44	moran	moran	PROPN
dem-1057	178	45	statistic	statistic	PROPN
dem-1057	178	46	:	:	PUNCT
dem-1057	178	47	0.6251	0.6251	NUM
dem-1057	178	48	;	;	PUNCT
dem-1057	178	49	p	p	X
dem-1057	178	50	-	-	PUNCT
dem-1057	178	51	value	value	NOUN
dem-1057	178	52	:	:	PUNCT
dem-1057	178	53	0.2660	0.2660	NUM
dem-1057	178	54	reduced	reduced	ADJ
dem-1057	178	55	model	model	NOUN
dem-1057	178	56	:	:	PUNCT
dem-1057	178	57			NOUN
dem-1057	178	58			PROPN
dem-1057	178	59			NOUN
dem-1057	178	60			SYM
dem-1057	178	61			NOUN
dem-1057	178	62			SYM
dem-1057	178	63			NOUN
dem-1057	178	64	ttxtytppty	ttxtytppty	PUNCT
dem-1057	178	65	,	,	PUNCT
dem-1057	178	66	,	,	PUNCT
dem-1057	178	67	,	,	PUNCT
dem-1057	178	68	,	,	PUNCT
dem-1057	178	69	00120101100000	00120101100000	NUM
dem-1057	178	70	pppwp	pppwp	VERB
dem-1057	178	71			NOUN
dem-1057	178	72			VERB
dem-1057	178	73	parameters	parameter	NOUN
dem-1057	178	74	estimates	estimate	NOUN
dem-1057	178	75	of	of	ADP
dem-1057	178	76	parameters	parameter	NOUN
dem-1057	178	77	standard	standard	ADJ
dem-1057	178	78	deviations	deviation	NOUN
dem-1057	178	79	statistics	statistic	NOUN
dem-1057	178	80	z	z	PROPN
dem-1057	178	81	pr(>|z|	pr(>|z|	PROPN
dem-1057	178	82	)	)	PUNCT
dem-1057	178	83	000	000	PROPN
dem-1057	178	84	100	100	VERB
dem-1057	178	85	010	010	PROPN
dem-1057	178	86	001	001	PROPN
dem-1057	178	87			NUM
dem-1057	178	88	14.8309	14.8309	NUM
dem-1057	178	89	-0.0321	-0.0321	NOUN
dem-1057	179	1	0.0522	0.0522	NUM
dem-1057	179	2	-0.6181	-0.6181	VERB
dem-1057	179	3	-1.7460	-1.7460	PROPN
dem-1057	180	1	1.5208	1.5208	NUM
dem-1057	180	2	0.0139	0.0139	NUM
dem-1057	180	3	0.0149	0.0149	NUM
dem-1057	180	4	0.1565	0.1565	NUM
dem-1057	180	5	0.1365	0.1365	NUM
dem-1057	180	6	9.7522	9.7522	NUM
dem-1057	180	7	-2.3164	-2.3164	NOUN
dem-1057	180	8	3.4839	3.4839	NUM
dem-1057	180	9	-3.9504	-3.9504	NOUN
dem-1057	180	10	-12.7951	-12.7951	NUM
dem-1057	180	11	0.0000	0.0000	NUM
dem-1057	180	12	0.0205	0.0205	NUM
dem-1057	180	13	0.0005	0.0005	NUM
dem-1057	180	14	0.0000	0.0000	NUM
dem-1057	180	15	0.0000	0.0000	NUM
dem-1057	180	16			ADP
dem-1057	180	17	=	=	PUNCT
dem-1057	180	18	0.3883	0.3883	NUM
dem-1057	180	19	test	test	NOUN
dem-1057	180	20	lr	lr	NOUN
dem-1057	180	21	:	:	PUNCT
dem-1057	180	22	40.419	40.419	NUM
dem-1057	180	23	;	;	PUNCT
dem-1057	180	24	p	p	X
dem-1057	180	25	-	-	PUNCT
dem-1057	180	26	value	value	NOUN
dem-1057	180	27	:	:	PUNCT
dem-1057	180	28	0.0000	0.0000	NUM
dem-1057	180	29	wald	wald	NOUN
dem-1057	180	30	statistic	statistic	NOUN
dem-1057	180	31	:	:	PUNCT
dem-1057	180	32	50.843	50.843	NUM
dem-1057	180	33	;	;	PUNCT
dem-1057	180	34	p	p	X
dem-1057	180	35	-	-	PUNCT
dem-1057	180	36	value	value	NOUN
dem-1057	180	37	:	:	PUNCT
dem-1057	180	38	0.0000	0.0000	NUM
dem-1057	180	39	aic	aic	PROPN
dem-1057	180	40	:	:	PUNCT
dem-1057	180	41	2281	2281	NUM
dem-1057	180	42	(	(	PUNCT
dem-1057	180	43	aic	aic	PROPN
dem-1057	180	44	for	for	ADP
dem-1057	180	45	lm	lm	PROPN
dem-1057	180	46	:	:	PUNCT
dem-1057	180	47	2319.5	2319.5	NUM
dem-1057	180	48	)	)	PUNCT
dem-1057	180	49	residual	residual	ADJ
dem-1057	180	50	autocorrelation	autocorrelation	NOUN
dem-1057	180	51	test	test	NOUN
dem-1057	180	52	lm	lm	ADP
dem-1057	180	53	:	:	PUNCT
dem-1057	180	54	0.2836	0.2836	NUM
dem-1057	180	55	;	;	PUNCT
dem-1057	180	56	p	p	X
dem-1057	180	57	-	-	PUNCT
dem-1057	180	58	value	value	NOUN
dem-1057	180	59	:	:	PUNCT
dem-1057	180	60	0.5943	0.5943	NUM
dem-1057	180	61	moran	moran	PROPN
dem-1057	180	62	statistic	statistic	PROPN
dem-1057	180	63	:	:	PUNCT
dem-1057	180	64	-0.1386	-0.1386	X
dem-1057	180	65	;	;	PUNCT
dem-1057	180	66	p	p	X
dem-1057	180	67	-	-	PUNCT
dem-1057	180	68	value	value	NOUN
dem-1057	180	69	:	:	PUNCT
dem-1057	180	70	0.4449	0.4449	NUM
dem-1057	180	71	spatio	spatio	ADJ
dem-1057	180	72	-	-	PUNCT
dem-1057	180	73	temporal	temporal	ADJ
dem-1057	180	74	models	model	NOUN
dem-1057	180	75	–	–	PUNCT
dem-1057	180	76	variant	variant	NOUN
dem-1057	180	77	ii	ii	NOUN
dem-1057	180	78	in	in	ADP
dem-1057	180	79	the	the	DET
dem-1057	180	80	discussed	discuss	VERB
dem-1057	180	81	variant	variant	NOUN
dem-1057	180	82	for	for	ADP
dem-1057	180	83	the	the	DET
dem-1057	180	84	purpose	purpose	NOUN
dem-1057	180	85	of	of	ADP
dem-1057	180	86	quantification	quantification	NOUN
dem-1057	180	87	of	of	ADP
dem-1057	180	88	the	the	DET
dem-1057	180	89	spatiotemporal	spatiotemporal	ADJ
dem-1057	180	90	connections	connection	NOUN
dem-1057	180	91	there	there	PRON
dem-1057	180	92	was	be	AUX
dem-1057	180	93	used	use	VERB
dem-1057	180	94	the	the	DET
dem-1057	180	95	matrix	matrix	NOUN
dem-1057	180	96	of	of	ADP
dem-1057	180	97	the	the	DET
dem-1057	180	98	form	form	NOUN
dem-1057	180	99	:	:	PUNCT
dem-1057	181	1			ADJ
dem-1057	181	2			NOUN
dem-1057	182	1			PUNCT
dem-1057	182	2			NOUN
dem-1057	182	3			PROPN
dem-1057	182	4			PROPN
dem-1057	182	5			X
dem-1057	182	6			NOUN
dem-1057	182	7			NOUN
dem-1057	182	8			NOUN
dem-1057	182	9			NOUN
dem-1057	182	10			NOUN
dem-1057	182	11			VERB
dem-1057	182	12			PROPN
dem-1057	182	13			PROPN
dem-1057	182	14			PROPN
dem-1057	182	15			PROPN
dem-1057	182	16			PROPN
dem-1057	182	17			PROPN
dem-1057	182	18	6	6	NUM
dem-1057	182	19	2	2	NUM
dem-1057	182	20	1	1	NUM
dem-1057	182	21	w00	w00	PROPN
dem-1057	182	22	0	0	PROPN
dem-1057	182	23	0w0	0w0	NUM
dem-1057	182	24	00w	00w	PUNCT
dem-1057	183	1	w	w	NOUN
dem-1057	183	2			NOUN
dem-1057	183	3			NOUN
dem-1057	183	4			NOUN
dem-1057	183	5			NOUN
dem-1057	183	6	,	,	PUNCT
dem-1057	183	7	(	(	PUNCT
dem-1057	183	8	13	13	NUM
dem-1057	183	9	)	)	PUNCT
dem-1057	184	1	where	where	SCONJ
dem-1057	184	2	:	:	PUNCT
dem-1057	184	3	621	621	NUM
dem-1057	184	4	...	...	PUNCT
dem-1057	185	1			NOUN
dem-1057	185	2			PROPN
dem-1057	185	3	www	www	NOUN
dem-1057	185	4	–	–	PUNCT
dem-1057	185	5	matrixes	matrix	NOUN
dem-1057	185	6	of	of	ADP
dem-1057	185	7	spatial	spatial	ADJ
dem-1057	185	8	connections	connection	NOUN
dem-1057	185	9	,	,	PUNCT
dem-1057	185	10	taking	take	VERB
dem-1057	185	11	into	into	ADP
dem-1057	185	12	account	account	NOUN
dem-1057	185	13	the	the	DET
dem-1057	185	14	economic	economic	ADJ
dem-1057	185	15	distance	distance	NOUN
dem-1057	185	16	between	between	ADP
dem-1057	185	17	regions	region	NOUN
dem-1057	185	18	,	,	PUNCT
dem-1057	185	19	different	different	ADJ
dem-1057	185	20	for	for	ADP
dem-1057	185	21	the	the	DET
dem-1057	185	22	successive	successive	ADJ
dem-1057	185	23	years	year	NOUN
dem-1057	185	24	.	.	PUNCT
dem-1057	186	1	elżbieta	elżbieta	PROPN
dem-1057	186	2	szulc	szulc	PROPN
dem-1057	186	3	16	16	NUM
dem-1057	186	4	various	various	ADJ
dem-1057	186	5	specifications	specification	NOUN
dem-1057	186	6	of	of	ADP
dem-1057	186	7	the	the	DET
dem-1057	186	8	fundamental	fundamental	ADJ
dem-1057	186	9	models	model	NOUN
dem-1057	186	10	of	of	ADP
dem-1057	186	11	unemployment	unemployment	NOUN
dem-1057	186	12	and	and	CCONJ
dem-1057	186	13	investments	investment	NOUN
dem-1057	186	14	and	and	CCONJ
dem-1057	186	15	the	the	DET
dem-1057	186	16	models	model	NOUN
dem-1057	186	17	of	of	ADP
dem-1057	186	18	the	the	DET
dem-1057	186	19	dependence	dependence	NOUN
dem-1057	186	20	between	between	ADP
dem-1057	186	21	the	the	DET
dem-1057	186	22	investigated	investigate	VERB
dem-1057	186	23	processes	process	NOUN
dem-1057	186	24	,	,	PUNCT
dem-1057	186	25	which	which	PRON
dem-1057	186	26	resulted	result	VERB
dem-1057	186	27	from	from	ADP
dem-1057	186	28	them	they	PRON
dem-1057	186	29	,	,	PUNCT
dem-1057	186	30	were	be	AUX
dem-1057	186	31	used	use	VERB
dem-1057	186	32	.	.	PUNCT
dem-1057	187	1	tables	table	NOUN
dem-1057	187	2	5–6	5–6	NUM
dem-1057	187	3	present	present	ADJ
dem-1057	187	4	the	the	DET
dem-1057	187	5	results	result	NOUN
dem-1057	187	6	of	of	ADP
dem-1057	187	7	the	the	DET
dem-1057	187	8	investigation	investigation	NOUN
dem-1057	187	9	,	,	PUNCT
dem-1057	187	10	in	in	ADP
dem-1057	187	11	which	which	PRON
dem-1057	187	12	the	the	DET
dem-1057	187	13	time	time	NOUN
dem-1057	187	14	lags	lag	VERB
dem-1057	187	15	of	of	ADP
dem-1057	187	16	the	the	DET
dem-1057	187	17	spatial	spatial	ADJ
dem-1057	187	18	dependence	dependence	NOUN
dem-1057	187	19	are	be	AUX
dem-1057	187	20	not	not	PART
dem-1057	187	21	taken	take	VERB
dem-1057	187	22	into	into	ADP
dem-1057	187	23	account	account	NOUN
dem-1057	187	24	.	.	PUNCT
dem-1057	188	1	tables	table	NOUN
dem-1057	188	2	7–8	7–8	NOUN
dem-1057	188	3	,	,	PUNCT
dem-1057	188	4	on	on	ADP
dem-1057	188	5	the	the	DET
dem-1057	188	6	contrary	contrary	NOUN
dem-1057	188	7	,	,	PUNCT
dem-1057	188	8	refer	refer	VERB
dem-1057	188	9	to	to	ADP
dem-1057	188	10	the	the	DET
dem-1057	188	11	investigation	investigation	NOUN
dem-1057	188	12	,	,	PUNCT
dem-1057	188	13	in	in	ADP
dem-1057	188	14	which	which	PRON
dem-1057	188	15	such	such	DET
dem-1057	188	16	the	the	DET
dem-1057	188	17	lags	lag	NOUN
dem-1057	188	18	were	be	AUX
dem-1057	188	19	considered	consider	VERB
dem-1057	188	20	.	.	PUNCT
dem-1057	189	1	the	the	DET
dem-1057	189	2	structure	structure	NOUN
dem-1057	189	3	of	of	ADP
dem-1057	189	4	the	the	DET
dem-1057	189	5	full	full	ADJ
dem-1057	189	6	models	model	NOUN
dem-1057	189	7	results	result	VERB
dem-1057	189	8	from	from	ADP
dem-1057	189	9	the	the	DET
dem-1057	189	10	structures	structure	NOUN
dem-1057	189	11	of	of	ADP
dem-1057	189	12	the	the	DET
dem-1057	189	13	individual	individual	ADJ
dem-1057	189	14	processes	process	NOUN
dem-1057	189	15	described	describe	VERB
dem-1057	189	16	by	by	ADP
dem-1057	189	17	the	the	DET
dem-1057	189	18	fundamental	fundamental	ADJ
dem-1057	189	19	models	model	NOUN
dem-1057	189	20	.	.	PUNCT
dem-1057	190	1	in	in	ADP
dem-1057	190	2	the	the	DET
dem-1057	190	3	first	first	ADJ
dem-1057	190	4	specification	specification	NOUN
dem-1057	190	5	the	the	DET
dem-1057	190	6	fundamental	fundamental	ADJ
dem-1057	190	7	models	model	NOUN
dem-1057	190	8	with	with	ADP
dem-1057	190	9	the	the	DET
dem-1057	190	10	spatio	spatio	PROPN
dem-1057	190	11	-	-	PUNCT
dem-1057	190	12	temporal	temporal	ADJ
dem-1057	190	13	trend	trend	NOUN
dem-1057	190	14	and	and	CCONJ
dem-1057	190	15	with	with	ADP
dem-1057	190	16	the	the	DET
dem-1057	190	17	spatial	spatial	ADJ
dem-1057	190	18	autoregression	autoregression	NOUN
dem-1057	190	19	were	be	AUX
dem-1057	190	20	established	establish	VERB
dem-1057	190	21	.	.	PUNCT
dem-1057	191	1	in	in	ADP
dem-1057	191	2	the	the	DET
dem-1057	191	3	full	full	ADJ
dem-1057	191	4	model	model	NOUN
dem-1057	191	5	identified	identify	VERB
dem-1057	191	6	at	at	ADP
dem-1057	191	7	the	the	DET
dem-1057	191	8	level	level	NOUN
dem-1057	191	9	of	of	ADP
dem-1057	191	10	poviats	poviat	NOUN
dem-1057	191	11	all	all	DET
dem-1057	191	12	the	the	DET
dem-1057	191	13	components	component	NOUN
dem-1057	191	14	were	be	AUX
dem-1057	191	15	statistically	statistically	ADV
dem-1057	191	16	significant	significant	ADJ
dem-1057	191	17	.	.	PUNCT
dem-1057	192	1	other	other	ADJ
dem-1057	192	2	than	than	ADP
dem-1057	192	3	in	in	ADP
dem-1057	192	4	variant	variant	NOUN
dem-1057	192	5	i	i	PRON
dem-1057	192	6	,	,	PUNCT
dem-1057	192	7	the	the	DET
dem-1057	192	8	measurement	measurement	NOUN
dem-1057	192	9	of	of	ADP
dem-1057	192	10	spatial	spatial	ADJ
dem-1057	192	11	(	(	PUNCT
dem-1057	192	12	auto)dependence	auto)dependence	PROPN
dem-1057	192	13	caused	cause	VERB
dem-1057	192	14	the	the	DET
dem-1057	192	15	spatially	spatially	ADV
dem-1057	192	16	lagged	lag	VERB
dem-1057	192	17	investments	investment	NOUN
dem-1057	192	18	had	have	AUX
dem-1057	192	19	not	not	PART
dem-1057	192	20	been	be	AUX
dem-1057	192	21	removed	remove	VERB
dem-1057	192	22	from	from	ADP
dem-1057	192	23	the	the	DET
dem-1057	192	24	model	model	NOUN
dem-1057	192	25	.	.	PUNCT
dem-1057	193	1	it	it	PRON
dem-1057	193	2	denotes	denote	VERB
dem-1057	193	3	some	some	DET
dem-1057	193	4	connection	connection	NOUN
dem-1057	193	5	of	of	ADP
dem-1057	193	6	the	the	DET
dem-1057	193	7	current	current	ADJ
dem-1057	193	8	unemployment	unemployment	NOUN
dem-1057	193	9	rate	rate	NOUN
dem-1057	193	10	in	in	ADP
dem-1057	193	11	a	a	DET
dem-1057	193	12	given	give	VERB
dem-1057	193	13	poviat	poviat	NOUN
dem-1057	193	14	with	with	ADP
dem-1057	193	15	the	the	DET
dem-1057	193	16	investment	investment	NOUN
dem-1057	193	17	outlays	outlay	NOUN
dem-1057	193	18	in	in	ADP
dem-1057	193	19	the	the	DET
dem-1057	193	20	neighbouring	neighbouring	ADJ
dem-1057	193	21	poviats	poviat	NOUN
dem-1057	193	22	.	.	PUNCT
dem-1057	194	1	in	in	ADP
dem-1057	194	2	turn	turn	NOUN
dem-1057	194	3	,	,	PUNCT
dem-1057	194	4	in	in	ADP
dem-1057	194	5	the	the	DET
dem-1057	194	6	analysis	analysis	NOUN
dem-1057	194	7	at	at	ADP
dem-1057	194	8	the	the	DET
dem-1057	194	9	level	level	NOUN
dem-1057	194	10	of	of	ADP
dem-1057	194	11	sub	sub	NOUN
dem-1057	194	12	-	-	NOUN
dem-1057	194	13	regions	region	NOUN
dem-1057	194	14	the	the	DET
dem-1057	194	15	reduced	reduced	ADJ
dem-1057	194	16	model	model	NOUN
dem-1057	194	17	without	without	SCONJ
dem-1057	194	18	the	the	DET
dem-1057	194	19	spatially	spatially	ADV
dem-1057	194	20	lagged	lag	VERB
dem-1057	194	21	investments	investment	NOUN
dem-1057	194	22	was	be	AUX
dem-1057	194	23	obtained	obtain	VERB
dem-1057	194	24	.	.	PUNCT
dem-1057	195	1	like	like	INTJ
dem-1057	195	2	in	in	ADP
dem-1057	195	3	variant	variant	NOUN
dem-1057	195	4	i	i	PRON
dem-1057	195	5	of	of	ADP
dem-1057	195	6	the	the	DET
dem-1057	195	7	investigation	investigation	NOUN
dem-1057	195	8	,	,	PUNCT
dem-1057	195	9	the	the	DET
dem-1057	195	10	difference	difference	NOUN
dem-1057	195	11	in	in	ADP
dem-1057	195	12	the	the	DET
dem-1057	195	13	estimation	estimation	NOUN
dem-1057	195	14	of	of	ADP
dem-1057	195	15	the	the	DET
dem-1057	195	16	coefficient	coefficient	NOUN
dem-1057	195	17	measuring	measure	VERB
dem-1057	195	18	the	the	DET
dem-1057	195	19	influence	influence	NOUN
dem-1057	195	20	of	of	ADP
dem-1057	195	21	investments	investment	NOUN
dem-1057	195	22	on	on	ADP
dem-1057	195	23	unemployment	unemployment	NOUN
dem-1057	195	24	at	at	ADP
dem-1057	195	25	the	the	DET
dem-1057	195	26	level	level	NOUN
dem-1057	195	27	of	of	ADP
dem-1057	195	28	poviats	poviat	NOUN
dem-1057	195	29	and	and	CCONJ
dem-1057	195	30	sub	sub	NOUN
dem-1057	195	31	-	-	NOUN
dem-1057	195	32	regions	region	NOUN
dem-1057	195	33	,	,	PUNCT
dem-1057	195	34	was	be	AUX
dem-1057	195	35	observed	observe	VERB
dem-1057	195	36	.	.	PUNCT
dem-1057	196	1	for	for	ADP
dem-1057	196	2	poviats	poviat	NOUN
dem-1057	196	3	its	its	PRON
dem-1057	196	4	value	value	NOUN
dem-1057	196	5	amounted	amount	VERB
dem-1057	196	6	to	to	ADP
dem-1057	196	7	circa	circa	VERB
dem-1057	196	8	-0.69	-0.69	NOUN
dem-1057	196	9	,	,	PUNCT
dem-1057	196	10	while	while	SCONJ
dem-1057	196	11	for	for	SCONJ
dem-1057	196	12	sub	sub	NOUN
dem-1057	196	13	-	-	NOUN
dem-1057	196	14	regions	region	NOUN
dem-1057	196	15	to	to	PART
dem-1057	196	16	circa	circa	VERB
dem-1057	196	17	-1.52	-1.52	NOUN
dem-1057	196	18	.	.	PUNCT
dem-1057	197	1	also	also	ADV
dem-1057	197	2	the	the	DET
dem-1057	197	3	coefficient	coefficient	NOUN
dem-1057	197	4	of	of	ADP
dem-1057	197	5	autoregression	autoregression	NOUN
dem-1057	197	6	,	,	PUNCT
dem-1057	197	7	as	as	ADP
dem-1057	197	8	in	in	ADP
dem-1057	197	9	variant	variant	NOUN
dem-1057	197	10	i	i	PRON
dem-1057	197	11	,	,	PUNCT
dem-1057	197	12	is	be	AUX
dem-1057	197	13	bigger	big	ADJ
dem-1057	197	14	for	for	ADP
dem-1057	197	15	poviats	poviat	NOUN
dem-1057	197	16	(	(	PUNCT
dem-1057	197	17	about	about	ADV
dem-1057	197	18	0.76	0.76	NUM
dem-1057	197	19	)	)	PUNCT
dem-1057	197	20	than	than	ADP
dem-1057	197	21	for	for	ADP
dem-1057	197	22	subregions	subregion	NOUN
dem-1057	197	23	(	(	PUNCT
dem-1057	197	24	about	about	ADV
dem-1057	197	25	0.53	0.53	NUM
dem-1057	197	26	)	)	PUNCT
dem-1057	197	27	.	.	PUNCT
dem-1057	198	1	table	table	NOUN
dem-1057	198	2	5	5	NUM
dem-1057	198	3	.	.	PUNCT
dem-1057	199	1	characteristics	characteristic	NOUN
dem-1057	199	2	of	of	ADP
dem-1057	199	3	quasi	quasi	ADJ
dem-1057	199	4	-	-	ADJ
dem-1057	199	5	congruent	congruent	ADJ
dem-1057	199	6	models	model	NOUN
dem-1057	199	7	for	for	ADP
dem-1057	199	8	poviats	poviat	NOUN
dem-1057	199	9	–	–	PUNCT
dem-1057	199	10	variant	variant	NOUN
dem-1057	199	11	ii	ii	PROPN
dem-1057	199	12	a	a	NOUN
dem-1057	199	13	)	)	PUNCT
dem-1057	199	14	full	full	ADJ
dem-1057	199	15	model	model	NOUN
dem-1057	199	16	:	:	PUNCT
dem-1057	199	17			NOUN
dem-1057	199	18			PROPN
dem-1057	199	19			NOUN
dem-1057	199	20			SYM
dem-1057	199	21			NOUN
dem-1057	199	22			SYM
dem-1057	199	23			NOUN
dem-1057	199	24			SYM
dem-1057	199	25			NOUN
dem-1057	200	1	ttxtxtytppty	ttxtxtytppty	CCONJ
dem-1057	200	2	,	,	PUNCT
dem-1057	200	3	,	,	PUNCT
dem-1057	200	4	,	,	PUNCT
dem-1057	200	5	,	,	PUNCT
dem-1057	200	6	,	,	PUNCT
dem-1057	200	7	00120101100000	00120101100000	NUM
dem-1057	200	8	ppwppwp	ppwppwp	PROPN
dem-1057	200	9			PROPN
dem-1057	200	10			VERB
dem-1057	200	11			NOUN
dem-1057	200	12	parameters	parameter	NOUN
dem-1057	200	13	estimates	estimate	NOUN
dem-1057	200	14	of	of	ADP
dem-1057	200	15	parameters	parameter	NOUN
dem-1057	200	16	standard	standard	ADJ
dem-1057	200	17	deviations	deviation	NOUN
dem-1057	200	18	statistics	statistic	NOUN
dem-1057	200	19	z	z	PROPN
dem-1057	200	20	pr(>|z|	pr(>|z|	PROPN
dem-1057	200	21	)	)	PUNCT
dem-1057	200	22	000	000	PROPN
dem-1057	200	23	100	100	VERB
dem-1057	200	24	010	010	PROPN
dem-1057	200	25	001	001	PROPN
dem-1057	200	26			NUM
dem-1057	200	27			NUM
dem-1057	200	28	5.9703	5.9703	NUM
dem-1057	200	29	-0.1403	-0.1403	NOUN
dem-1057	200	30	0.2307	0.2307	NUM
dem-1057	200	31	-0.1419	-0.1419	X
dem-1057	200	32	-0.6937	-0.6937	X
dem-1057	200	33	-0.4661	-0.4661	PROPN
dem-1057	200	34	0.5611	0.5611	NUM
dem-1057	200	35	0.0548	0.0548	NUM
dem-1057	200	36	0.0548	0.0548	NUM
dem-1057	200	37	0.0537	0.0537	NUM
dem-1057	200	38	0.0453	0.0453	NUM
dem-1057	200	39	0.1219	0.1219	NUM
dem-1057	200	40	10.6413	10.6413	NUM
dem-1057	200	41	-2.5583	-2.5583	NOUN
dem-1057	200	42	4.2073	4.2073	NUM
dem-1057	200	43	-2.6408	-2.6408	NOUN
dem-1057	200	44	-15.3140	-15.3140	PUNCT
dem-1057	200	45	-3.8231	-3.8231	PROPN
dem-1057	201	1	0.0000	0.0000	NUM
dem-1057	201	2	0.0105	0.0105	NUM
dem-1057	201	3	0.0000	0.0000	NUM
dem-1057	201	4	0.0083	0.0083	NUM
dem-1057	201	5	0.0000	0.0000	NUM
dem-1057	201	6	0.0001	0.0001	NUM
dem-1057	201	7			NOUN
dem-1057	201	8	=	=	PUNCT
dem-1057	201	9	0.7595	0.7595	NUM
dem-1057	201	10	test	test	NOUN
dem-1057	201	11	lr	lr	X
dem-1057	201	12	:	:	PUNCT
dem-1057	201	13	1467.6	1467.6	NUM
dem-1057	201	14	;	;	PUNCT
dem-1057	201	15	p	p	X
dem-1057	201	16	-	-	PUNCT
dem-1057	201	17	value	value	NOUN
dem-1057	201	18	:	:	PUNCT
dem-1057	201	19	0.0000	0.0000	NUM
dem-1057	201	20	wald	wald	NOUN
dem-1057	201	21	statistic	statistic	NOUN
dem-1057	201	22	:	:	PUNCT
dem-1057	201	23	2912.2	2912.2	NUM
dem-1057	201	24	;	;	PUNCT
dem-1057	201	25	p	p	X
dem-1057	201	26	-	-	PUNCT
dem-1057	201	27	value	value	NOUN
dem-1057	201	28	:	:	PUNCT
dem-1057	201	29	0.0000	0.0000	NUM
dem-1057	201	30	aic	aic	PROPN
dem-1057	201	31	:	:	PUNCT
dem-1057	201	32	12943	12943	NUM
dem-1057	201	33	(	(	PUNCT
dem-1057	201	34	aic	aic	PROPN
dem-1057	201	35	for	for	ADP
dem-1057	201	36	lm	lm	PROPN
dem-1057	201	37	:	:	PUNCT
dem-1057	201	38	1.4408	1.4408	NUM
dem-1057	201	39	)	)	PUNCT
dem-1057	201	40	residual	residual	ADJ
dem-1057	201	41	autocorrelation	autocorrelation	NOUN
dem-1057	201	42	test	test	NOUN
dem-1057	201	43	lm	lm	VERB
dem-1057	201	44	:	:	PUNCT
dem-1057	201	45	68.725	68.725	NUM
dem-1057	201	46	;	;	PUNCT
dem-1057	201	47	p	p	X
dem-1057	201	48	-	-	PUNCT
dem-1057	201	49	value	value	NOUN
dem-1057	201	50	:	:	PUNCT
dem-1057	201	51	0.0000	0.0000	NUM
dem-1057	201	52	moran	moran	PROPN
dem-1057	201	53	statistic	statistic	PROPN
dem-1057	201	54	:	:	PUNCT
dem-1057	201	55	-2.9692	-2.9692	PROPN
dem-1057	201	56	;	;	PUNCT
dem-1057	201	57	p	p	X
dem-1057	201	58	-	-	PUNCT
dem-1057	201	59	value	value	NOUN
dem-1057	201	60	:	:	PUNCT
dem-1057	201	61	0.0010	0.0010	NUM
dem-1057	201	62	in	in	ADP
dem-1057	201	63	the	the	DET
dem-1057	201	64	more	more	ADV
dem-1057	201	65	extended	extended	ADJ
dem-1057	201	66	specification	specification	NOUN
dem-1057	201	67	of	of	ADP
dem-1057	201	68	the	the	DET
dem-1057	201	69	structures	structure	NOUN
dem-1057	201	70	of	of	ADP
dem-1057	201	71	the	the	DET
dem-1057	201	72	investigated	investigate	VERB
dem-1057	201	73	processes	process	NOUN
dem-1057	201	74	the	the	DET
dem-1057	201	75	time	time	NOUN
dem-1057	201	76	lags	lag	NOUN
dem-1057	201	77	of	of	ADP
dem-1057	201	78	the	the	DET
dem-1057	201	79	spatial	spatial	ADJ
dem-1057	201	80	autodependence	autodependence	NOUN
dem-1057	201	81	were	be	AUX
dem-1057	201	82	additionally	additionally	ADV
dem-1057	201	83	taken	take	VERB
dem-1057	201	84	into	into	ADP
dem-1057	201	85	account	account	NOUN
dem-1057	201	86	.	.	PUNCT
dem-1057	202	1	the	the	DET
dem-1057	202	2	characteristics	characteristic	NOUN
dem-1057	202	3	of	of	ADP
dem-1057	202	4	the	the	DET
dem-1057	202	5	full	full	ADJ
dem-1057	202	6	quasi	quasi	ADJ
dem-1057	202	7	-	-	ADJ
dem-1057	202	8	congruent	congruent	ADJ
dem-1057	202	9	model	model	NOUN
dem-1057	202	10	and	and	CCONJ
dem-1057	202	11	of	of	ADP
dem-1057	202	12	the	the	DET
dem-1057	202	13	identification	identification	NOUN
dem-1057	202	14	of	of	ADP
dem-1057	202	15	the	the	DET
dem-1057	202	16	structures	structure	NOUN
dem-1057	202	17	of	of	ADP
dem-1057	202	18	spatial	spatial	ADJ
dem-1057	202	19	and	and	CCONJ
dem-1057	202	20	spatio	spatio	ADJ
dem-1057	202	21	-	-	PUNCT
dem-1057	202	22	temporal	temporal	ADJ
dem-1057	202	23	processes	process	NOUN
dem-1057	202	24	…	…	NUM
dem-1057	202	25	17	17	NUM
dem-1057	202	26	reduced	reduce	VERB
dem-1057	202	27	model	model	NOUN
dem-1057	202	28	for	for	ADP
dem-1057	202	29	poviats	poviat	NOUN
dem-1057	202	30	are	be	AUX
dem-1057	202	31	presented	present	VERB
dem-1057	202	32	in	in	ADP
dem-1057	202	33	table	table	NOUN
dem-1057	202	34	7	7	NUM
dem-1057	202	35	,	,	PUNCT
dem-1057	202	36	whereas	whereas	SCONJ
dem-1057	202	37	for	for	ADP
dem-1057	202	38	sub	sub	NOUN
dem-1057	202	39	-	-	NOUN
dem-1057	202	40	regions	region	NOUN
dem-1057	202	41	–	–	PUNCT
dem-1057	202	42	in	in	ADP
dem-1057	202	43	table	table	NOUN
dem-1057	202	44	8	8	NUM
dem-1057	202	45	.	.	PUNCT
dem-1057	202	46	table	table	NOUN
dem-1057	202	47	6	6	NUM
dem-1057	202	48	.	.	PUNCT
dem-1057	203	1	characteristics	characteristic	NOUN
dem-1057	203	2	of	of	ADP
dem-1057	203	3	quasi	quasi	ADJ
dem-1057	203	4	-	-	ADJ
dem-1057	203	5	congruent	congruent	ADJ
dem-1057	203	6	models	model	NOUN
dem-1057	203	7	for	for	ADP
dem-1057	203	8	sub	sub	NOUN
dem-1057	203	9	-	-	NOUN
dem-1057	203	10	regions	region	NOUN
dem-1057	203	11	–	–	PUNCT
dem-1057	203	12	variant	variant	NOUN
dem-1057	203	13	ii	ii	PROPN
dem-1057	203	14	a	a	NOUN
dem-1057	203	15	)	)	PUNCT
dem-1057	203	16	full	full	ADJ
dem-1057	203	17	model	model	NOUN
dem-1057	203	18	:	:	PUNCT
dem-1057	203	19			NOUN
dem-1057	203	20			PROPN
dem-1057	203	21			NOUN
dem-1057	203	22			SYM
dem-1057	203	23			NOUN
dem-1057	203	24			SYM
dem-1057	203	25			NOUN
dem-1057	203	26			SYM
dem-1057	203	27			NOUN
dem-1057	204	1	ttxtxtytppty	ttxtxtytppty	CCONJ
dem-1057	204	2	,	,	PUNCT
dem-1057	204	3	,	,	PUNCT
dem-1057	204	4	,	,	PUNCT
dem-1057	204	5	,	,	PUNCT
dem-1057	204	6	,	,	PUNCT
dem-1057	204	7	00120101100000	00120101100000	NUM
dem-1057	204	8	ppwppwp	ppwppwp	PROPN
dem-1057	204	9			PROPN
dem-1057	204	10			VERB
dem-1057	204	11			NOUN
dem-1057	204	12	parameters	parameter	NOUN
dem-1057	204	13	estimates	estimate	NOUN
dem-1057	204	14	of	of	ADP
dem-1057	204	15	parameters	parameter	NOUN
dem-1057	204	16	standard	standard	ADJ
dem-1057	204	17	deviations	deviation	NOUN
dem-1057	204	18	statistics	statistic	NOUN
dem-1057	204	19	z	z	PROPN
dem-1057	204	20	pr(>|z|	pr(>|z|	PROPN
dem-1057	204	21	)	)	PUNCT
dem-1057	204	22	000	000	PROPN
dem-1057	204	23	100	100	VERB
dem-1057	204	24	010	010	PROPN
dem-1057	204	25	001	001	PROPN
dem-1057	204	26			NUM
dem-1057	204	27			NUM
dem-1057	204	28	12.3451	12.3451	NUM
dem-1057	204	29	-0.0240	-0.0240	NOUN
dem-1057	204	30	0.0315	0.0315	NUM
dem-1057	204	31	-0.3442	-0.3442	ADJ
dem-1057	204	32	-1.4485	-1.4485	NOUN
dem-1057	204	33	-0.4057	-0.4057	VERB
dem-1057	204	34	1.7497	1.7497	NUM
dem-1057	204	35	0.0143	0.0143	NUM
dem-1057	204	36	0.0138	0.0138	NUM
dem-1057	205	1	0.1466	0.1466	NUM
dem-1057	205	2	0.1495	0.1495	NUM
dem-1057	205	3	0.3925	0.3925	NUM
dem-1057	205	4	7.0555	7.0555	NUM
dem-1057	205	5	-1.6530	-1.6530	NOUN
dem-1057	205	6	2.2901	2.2901	NUM
dem-1057	205	7	-2.3488	-2.3488	NOUN
dem-1057	205	8	-9.6917	-9.6917	NOUN
dem-1057	205	9	-1.0337	-1.0337	PUNCT
dem-1057	206	1	0.0000	0.0000	NUM
dem-1057	206	2	0.0983	0.0983	NUM
dem-1057	206	3	0.0220	0.0220	NUM
dem-1057	206	4	0.0188	0.0188	NUM
dem-1057	206	5	0.0000	0.0000	NUM
dem-1057	206	6	0.3013	0.3013	NUM
dem-1057	206	7			ADP
dem-1057	206	8	=	=	PUNCT
dem-1057	206	9	0.5178	0.5178	NUM
dem-1057	206	10	test	test	NOUN
dem-1057	206	11	lr	lr	X
dem-1057	206	12	:	:	PUNCT
dem-1057	206	13	77.168	77.168	NUM
dem-1057	206	14	;	;	PUNCT
dem-1057	207	1	p	p	X
dem-1057	207	2	-	-	PUNCT
dem-1057	207	3	value	value	NOUN
dem-1057	207	4	:	:	PUNCT
dem-1057	207	5	0.0000	0.0000	NUM
dem-1057	207	6	wald	wald	NOUN
dem-1057	207	7	statistic	statistic	NOUN
dem-1057	207	8	:	:	PUNCT
dem-1057	207	9	117.56	117.56	NUM
dem-1057	207	10	;	;	PUNCT
dem-1057	207	11	p	p	X
dem-1057	207	12	-	-	PUNCT
dem-1057	207	13	value	value	NOUN
dem-1057	207	14	:	:	PUNCT
dem-1057	207	15	0.0000	0.0000	NUM
dem-1057	207	16	aic	aic	PROPN
dem-1057	207	17	:	:	PUNCT
dem-1057	207	18	2235.4	2235.4	NUM
dem-1057	207	19	(	(	PUNCT
dem-1057	207	20	aic	aic	PROPN
dem-1057	207	21	for	for	ADP
dem-1057	207	22	lm	lm	PROPN
dem-1057	207	23	:	:	PUNCT
dem-1057	207	24	2310.5	2310.5	NUM
dem-1057	207	25	)	)	PUNCT
dem-1057	207	26	residual	residual	ADJ
dem-1057	207	27	autocorrelation	autocorrelation	NOUN
dem-1057	207	28	test	test	NOUN
dem-1057	207	29	lm	lm	ADP
dem-1057	207	30	:	:	PUNCT
dem-1057	207	31	37.529	37.529	NUM
dem-1057	207	32	;	;	PUNCT
dem-1057	207	33	p	p	X
dem-1057	207	34	-	-	PUNCT
dem-1057	207	35	value	value	NOUN
dem-1057	207	36	:	:	PUNCT
dem-1057	207	37	0.0000	0.0000	NUM
dem-1057	207	38	moran	moran	PROPN
dem-1057	207	39	statistic	statistic	PROPN
dem-1057	207	40	:	:	PUNCT
dem-1057	207	41	-0.7447	-0.7447	NOUN
dem-1057	207	42	;	;	PUNCT
dem-1057	207	43	p	p	X
dem-1057	207	44	-	-	PUNCT
dem-1057	207	45	value	value	NOUN
dem-1057	207	46	:	:	PUNCT
dem-1057	207	47	0.2282	0.2282	NUM
dem-1057	207	48	reduced	reduced	ADJ
dem-1057	207	49	model	model	NOUN
dem-1057	207	50	:	:	PUNCT
dem-1057	207	51			NOUN
dem-1057	207	52			PROPN
dem-1057	207	53			NOUN
dem-1057	207	54			SYM
dem-1057	207	55			NOUN
dem-1057	207	56			SYM
dem-1057	207	57			NOUN
dem-1057	207	58	ttxtytppty	ttxtytppty	PUNCT
dem-1057	207	59	,	,	PUNCT
dem-1057	207	60	,	,	PUNCT
dem-1057	207	61	,	,	PUNCT
dem-1057	207	62	,	,	PUNCT
dem-1057	207	63	00120101100000	00120101100000	NUM
dem-1057	207	64	pppwp	pppwp	VERB
dem-1057	207	65			NOUN
dem-1057	207	66			VERB
dem-1057	207	67			PROPN
dem-1057	207	68	parameters	parameter	NOUN
dem-1057	207	69	estimates	estimate	NOUN
dem-1057	207	70	of	of	ADP
dem-1057	207	71	parameters	parameter	NOUN
dem-1057	207	72	standard	standard	ADJ
dem-1057	207	73	deviations	deviation	NOUN
dem-1057	207	74	statistics	statistic	NOUN
dem-1057	207	75	z	z	PROPN
dem-1057	207	76	pr(>|z|	pr(>|z|	PROPN
dem-1057	207	77	)	)	PUNCT
dem-1057	207	78	000	000	PROPN
dem-1057	207	79	100	100	VERB
dem-1057	207	80	010	010	PROPN
dem-1057	207	81	001	001	PROPN
dem-1057	207	82			NUM
dem-1057	207	83	11.1540	11.1540	NUM
dem-1057	207	84	-0.0161	-0.0161	ADJ
dem-1057	207	85	0.0343	0.0343	NUM
dem-1057	207	86	-0.4002	-0.4002	NOUN
dem-1057	207	87	-1.5245	-1.5245	VERB
dem-1057	208	1	1.3366	1.3366	NUM
dem-1057	208	2	0.0128	0.0128	NUM
dem-1057	208	3	0.0135	0.0135	NUM
dem-1057	208	4	0.1362	0.1362	NUM
dem-1057	208	5	0.1266	0.1266	NUM
dem-1057	208	6	8.3450	8.3450	NUM
dem-1057	208	7	-1.2578	-1.2578	NOUN
dem-1057	208	8	2.5450	2.5450	NUM
dem-1057	208	9	-2.9374	-2.9374	NOUN
dem-1057	208	10	-12.0426	-12.0426	PUNCT
dem-1057	209	1	0.0000	0.0000	NUM
dem-1057	209	2	0.2085	0.2085	NUM
dem-1057	209	3	0.0109	0.0109	NUM
dem-1057	209	4	0.0033	0.0033	NUM
dem-1057	209	5	0.0000	0.0000	NUM
dem-1057	209	6			ADP
dem-1057	209	7	=	=	PUNCT
dem-1057	209	8	0.5315	0.5315	NUM
dem-1057	209	9	test	test	NOUN
dem-1057	209	10	lr	lr	NOUN
dem-1057	209	11	:	:	PUNCT
dem-1057	209	12	86.996	86.996	NUM
dem-1057	209	13	;	;	PUNCT
dem-1057	209	14	p	p	X
dem-1057	209	15	-	-	PUNCT
dem-1057	209	16	value	value	NOUN
dem-1057	209	17	:	:	PUNCT
dem-1057	209	18	0.0000	0.0000	NUM
dem-1057	209	19	wald	wald	NOUN
dem-1057	209	20	statistic	statistic	NOUN
dem-1057	209	21	:	:	PUNCT
dem-1057	209	22	137.67	137.67	NUM
dem-1057	209	23	;	;	PUNCT
dem-1057	209	24	p	p	X
dem-1057	209	25	-	-	PUNCT
dem-1057	209	26	value	value	NOUN
dem-1057	209	27	:	:	PUNCT
dem-1057	209	28	0.0000	0.0000	NUM
dem-1057	209	29	aic	aic	PROPN
dem-1057	209	30	:	:	PUNCT
dem-1057	209	31	2234.5	2234.5	NUM
dem-1057	209	32	(	(	PUNCT
dem-1057	209	33	aic	aic	PROPN
dem-1057	209	34	for	for	ADP
dem-1057	209	35	lm	lm	PROPN
dem-1057	209	36	:	:	PUNCT
dem-1057	209	37	2319.5	2319.5	NUM
dem-1057	209	38	)	)	PUNCT
dem-1057	209	39	residual	residual	ADJ
dem-1057	209	40	autocorrelation	autocorrelation	NOUN
dem-1057	209	41	test	test	NOUN
dem-1057	209	42	lm	lm	VERB
dem-1057	209	43	:	:	PUNCT
dem-1057	209	44	14.549	14.549	NUM
dem-1057	209	45	;	;	PUNCT
dem-1057	209	46	p	p	X
dem-1057	209	47	-	-	PUNCT
dem-1057	209	48	value	value	NOUN
dem-1057	209	49	:	:	PUNCT
dem-1057	209	50	0.0001	0.0001	NUM
dem-1057	209	51	moran	moran	PROPN
dem-1057	209	52	statistic	statistic	PROPN
dem-1057	209	53	:	:	PUNCT
dem-1057	209	54	-1.1656	-1.1656	PROPN
dem-1057	209	55	;	;	PUNCT
dem-1057	209	56	p	p	X
dem-1057	209	57	-	-	PUNCT
dem-1057	209	58	value	value	NOUN
dem-1057	209	59	:	:	PUNCT
dem-1057	209	60	0.1219	0.1219	NUM
dem-1057	209	61	in	in	ADP
dem-1057	209	62	the	the	DET
dem-1057	209	63	full	full	ADJ
dem-1057	209	64	quasi	quasi	ADJ
dem-1057	209	65	-	-	ADJ
dem-1057	209	66	congruent	congruent	ADJ
dem-1057	209	67	model	model	NOUN
dem-1057	209	68	of	of	ADP
dem-1057	209	69	unemployment	unemployment	NOUN
dem-1057	209	70	for	for	ADP
dem-1057	209	71	poviats	poviat	NOUN
dem-1057	209	72	the	the	DET
dem-1057	209	73	following	follow	VERB
dem-1057	209	74	were	be	AUX
dem-1057	209	75	taken	take	VERB
dem-1057	209	76	into	into	ADP
dem-1057	209	77	consideration	consideration	NOUN
dem-1057	209	78	:	:	PUNCT
dem-1057	209	79	spatio	spatio	ADJ
dem-1057	209	80	-	-	PUNCT
dem-1057	209	81	temporal	temporal	ADJ
dem-1057	209	82	trend	trend	NOUN
dem-1057	209	83	,	,	PUNCT
dem-1057	209	84	current	current	ADJ
dem-1057	209	85	unemployment	unemployment	NOUN
dem-1057	209	86	rate	rate	NOUN
dem-1057	209	87	in	in	ADP
dem-1057	209	88	the	the	DET
dem-1057	209	89	neighbouring	neighbouring	ADJ
dem-1057	209	90	poviats	poviat	NOUN
dem-1057	209	91	,	,	PUNCT
dem-1057	209	92	unemployment	unemployment	NOUN
dem-1057	209	93	rate	rate	NOUN
dem-1057	209	94	from	from	ADP
dem-1057	209	95	the	the	DET
dem-1057	209	96	previous	previous	ADJ
dem-1057	209	97	period	period	NOUN
dem-1057	209	98	in	in	ADP
dem-1057	209	99	the	the	DET
dem-1057	209	100	neighbouring	neighbouring	ADJ
dem-1057	209	101	poviats	poviat	NOUN
dem-1057	209	102	,	,	PUNCT
dem-1057	209	103	current	current	ADJ
dem-1057	209	104	investment	investment	NOUN
dem-1057	209	105	outlays	outlay	NOUN
dem-1057	209	106	in	in	ADP
dem-1057	209	107	the	the	DET
dem-1057	209	108	given	give	VERB
dem-1057	209	109	poviat	poviat	NOUN
dem-1057	209	110	and	and	CCONJ
dem-1057	209	111	in	in	ADP
dem-1057	209	112	the	the	DET
dem-1057	209	113	neighbouring	neighbouring	NOUN
dem-1057	209	114	poviats	poviat	NOUN
dem-1057	209	115	and	and	CCONJ
dem-1057	209	116	also	also	ADV
dem-1057	209	117	investment	investment	NOUN
dem-1057	209	118	outlays	outlay	NOUN
dem-1057	209	119	in	in	ADP
dem-1057	209	120	the	the	DET
dem-1057	209	121	neighbouring	neighbouring	ADJ
dem-1057	209	122	poviats	poviat	NOUN
dem-1057	209	123	from	from	ADP
dem-1057	209	124	the	the	DET
dem-1057	209	125	previous	previous	ADJ
dem-1057	209	126	period	period	NOUN
dem-1057	209	127	.	.	PUNCT
dem-1057	210	1	most	most	ADJ
dem-1057	210	2	of	of	ADP
dem-1057	210	3	the	the	DET
dem-1057	210	4	mentioned	mention	VERB
dem-1057	210	5	components	component	NOUN
dem-1057	210	6	were	be	AUX
dem-1057	210	7	statistically	statistically	ADV
dem-1057	210	8	significant	significant	ADJ
dem-1057	210	9	.	.	PUNCT
dem-1057	211	1	only	only	ADV
dem-1057	211	2	the	the	DET
dem-1057	211	3	spatial	spatial	ADJ
dem-1057	211	4	trend	trend	NOUN
dem-1057	211	5	appeared	appear	VERB
dem-1057	211	6	insignificant	insignificant	ADJ
dem-1057	211	7	.	.	PUNCT
dem-1057	212	1	after	after	ADP
dem-1057	212	2	elimination	elimination	NOUN
dem-1057	212	3	of	of	ADP
dem-1057	212	4	it	it	PRON
dem-1057	212	5	the	the	DET
dem-1057	212	6	reduced	reduce	VERB
dem-1057	212	7	model	model	NOUN
dem-1057	212	8	was	be	AUX
dem-1057	212	9	obtained	obtain	VERB
dem-1057	212	10	.	.	PUNCT
dem-1057	213	1	starting	start	VERB
dem-1057	213	2	from	from	ADP
dem-1057	213	3	the	the	DET
dem-1057	213	4	analogous	analogous	ADJ
dem-1057	213	5	structure	structure	NOUN
dem-1057	213	6	of	of	ADP
dem-1057	213	7	the	the	DET
dem-1057	213	8	full	full	ADJ
dem-1057	213	9	model	model	NOUN
dem-1057	213	10	for	for	ADP
dem-1057	213	11	sub	sub	NOUN
dem-1057	213	12	-	-	NOUN
dem-1057	213	13	regions	region	NOUN
dem-1057	213	14	,	,	PUNCT
dem-1057	213	15	as	as	ADP
dem-1057	213	16	a	a	DET
dem-1057	213	17	result	result	NOUN
dem-1057	213	18	of	of	ADP
dem-1057	213	19	eliminating	eliminate	VERB
dem-1057	213	20	the	the	DET
dem-1057	213	21	statistically	statistically	ADV
dem-1057	213	22	insignificant	insignificant	ADJ
dem-1057	213	23	components	component	NOUN
dem-1057	213	24	the	the	DET
dem-1057	213	25	reduced	reduce	VERB
dem-1057	213	26	elżbieta	elżbieta	PROPN
dem-1057	213	27	szulc	szulc	PROPN
dem-1057	213	28	18	18	NUM
dem-1057	213	29	model	model	NOUN
dem-1057	213	30	was	be	AUX
dem-1057	213	31	obtained	obtain	VERB
dem-1057	213	32	.	.	PUNCT
dem-1057	214	1	in	in	ADP
dem-1057	214	2	the	the	DET
dem-1057	214	3	model	model	NOUN
dem-1057	214	4	there	there	PRON
dem-1057	214	5	are	be	VERB
dem-1057	214	6	the	the	DET
dem-1057	214	7	following	follow	VERB
dem-1057	214	8	components	component	NOUN
dem-1057	214	9	:	:	PUNCT
dem-1057	214	10	current	current	ADJ
dem-1057	214	11	unemployment	unemployment	NOUN
dem-1057	214	12	in	in	ADP
dem-1057	214	13	the	the	DET
dem-1057	214	14	neighbouring	neighbouring	ADJ
dem-1057	214	15	sub	sub	NOUN
dem-1057	214	16	-	-	NOUN
dem-1057	214	17	regions	region	NOUN
dem-1057	214	18	,	,	PUNCT
dem-1057	214	19	current	current	ADJ
dem-1057	214	20	investment	investment	NOUN
dem-1057	214	21	outlays	outlay	NOUN
dem-1057	214	22	in	in	ADP
dem-1057	214	23	a	a	DET
dem-1057	214	24	given	give	VERB
dem-1057	214	25	sub	sub	NOUN
dem-1057	214	26	-	-	NOUN
dem-1057	214	27	region	region	NOUN
dem-1057	214	28	,	,	PUNCT
dem-1057	214	29	current	current	ADJ
dem-1057	214	30	and	and	CCONJ
dem-1057	214	31	time	time	NOUN
dem-1057	214	32	lagged	lag	VERB
dem-1057	214	33	investment	investment	NOUN
dem-1057	214	34	outlays	outlay	NOUN
dem-1057	214	35	in	in	ADP
dem-1057	214	36	the	the	DET
dem-1057	214	37	neighbouring	neighbouring	ADJ
dem-1057	214	38	sub	sub	NOUN
dem-1057	214	39	-	-	NOUN
dem-1057	214	40	regions	region	NOUN
dem-1057	214	41	.	.	PUNCT
dem-1057	215	1	coefficient	coefficient	NOUN
dem-1057	215	2	of	of	ADP
dem-1057	215	3	regression	regression	NOUN
dem-1057	215	4	(	(	PUNCT
dem-1057	215	5			NUM
dem-1057	215	6	)	)	PUNCT
dem-1057	215	7	estimated	estimate	VERB
dem-1057	215	8	at	at	ADP
dem-1057	215	9	the	the	DET
dem-1057	215	10	level	level	NOUN
dem-1057	215	11	of	of	ADP
dem-1057	215	12	poviats	poviat	NOUN
dem-1057	215	13	amounted	amount	VERB
dem-1057	215	14	to	to	ADP
dem-1057	215	15	circa	circa	NOUN
dem-1057	215	16	-0.63	-0.63	NOUN
dem-1057	215	17	,	,	PUNCT
dem-1057	215	18	and	and	CCONJ
dem-1057	215	19	at	at	ADP
dem-1057	215	20	the	the	DET
dem-1057	215	21	level	level	NOUN
dem-1057	215	22	of	of	ADP
dem-1057	215	23	sub	sub	NOUN
dem-1057	215	24	-	-	NOUN
dem-1057	215	25	regions	region	NOUN
dem-1057	215	26	–	–	PUNCT
dem-1057	215	27	to	to	PART
dem-1057	215	28	circa	circa	VERB
dem-1057	215	29	-1.21	-1.21	PROPN
dem-1057	215	30	.	.	PUNCT
dem-1057	216	1	the	the	DET
dem-1057	216	2	coefficients	coefficient	NOUN
dem-1057	216	3	of	of	ADP
dem-1057	216	4	autoregression	autoregression	NOUN
dem-1057	216	5	amounted	amount	VERB
dem-1057	216	6	to	to	PART
dem-1057	216	7	circa	circa	VERB
dem-1057	216	8	0.45	0.45	NUM
dem-1057	216	9	and	and	CCONJ
dem-1057	216	10	0.33	0.33	NUM
dem-1057	216	11	respectively	respectively	ADV
dem-1057	216	12	.	.	PUNCT
dem-1057	217	1	table	table	NOUN
dem-1057	217	2	7	7	NUM
dem-1057	217	3	.	.	PUNCT
dem-1057	218	1	characteristics	characteristic	NOUN
dem-1057	218	2	of	of	ADP
dem-1057	218	3	quasi	quasi	ADJ
dem-1057	218	4	-	-	ADJ
dem-1057	218	5	congruent	congruent	ADJ
dem-1057	218	6	models	model	NOUN
dem-1057	218	7	for	for	ADP
dem-1057	218	8	poviats	poviat	NOUN
dem-1057	218	9	–	–	PUNCT
dem-1057	218	10	variant	variant	NOUN
dem-1057	218	11	ii	ii	PROPN
dem-1057	218	12	b	b	X
dem-1057	218	13	)	)	PUNCT
dem-1057	218	14	full	full	ADJ
dem-1057	218	15	model	model	NOUN
dem-1057	218	16	:	:	PUNCT
dem-1057	218	17			NOUN
dem-1057	218	18			PROPN
dem-1057	218	19			NOUN
dem-1057	218	20			SYM
dem-1057	218	21			NOUN
dem-1057	218	22			SYM
dem-1057	218	23			NOUN
dem-1057	218	24			SYM
dem-1057	218	25			NOUN
dem-1057	218	26			SYM
dem-1057	218	27			NOUN
dem-1057	218	28			SYM
dem-1057	218	29			PROPN
dem-1057	218	30	ttxtxtx	ttxtxtx	ADJ
dem-1057	218	31	tytytppty	tytytppty	ADJ
dem-1057	218	32	,	,	PUNCT
dem-1057	218	33	1	1	NUM
dem-1057	218	34	,	,	PUNCT
dem-1057	218	35	,	,	PUNCT
dem-1057	218	36	,	,	PUNCT
dem-1057	218	37	1	1	NUM
dem-1057	218	38	,	,	PUNCT
dem-1057	218	39	,	,	PUNCT
dem-1057	218	40	,	,	PUNCT
dem-1057	218	41	00120101100000	00120101100000	NUM
dem-1057	218	42	ppwpwp	ppwpwp	VERB
dem-1057	218	43	pwpwp	pwpwp	NOUN
dem-1057	219	1			VERB
dem-1057	219	2			PUNCT
dem-1057	219	3			NOUN
dem-1057	219	4			VERB
dem-1057	219	5			PUNCT
dem-1057	219	6			NUM
dem-1057	219	7	parameters	parameter	NOUN
dem-1057	219	8	estimates	estimate	NOUN
dem-1057	219	9	of	of	ADP
dem-1057	219	10	parameters	parameter	NOUN
dem-1057	219	11	standard	standard	ADJ
dem-1057	219	12	deviations	deviation	NOUN
dem-1057	219	13	statistics	statistic	NOUN
dem-1057	219	14	z	z	PROPN
dem-1057	219	15	pr(>|z|	pr(>|z|	PROPN
dem-1057	219	16	)	)	PUNCT
dem-1057	219	17	000	000	PROPN
dem-1057	219	18	100	100	VERB
dem-1057	219	19	010	010	PROPN
dem-1057	219	20	001	001	PROPN
dem-1057	219	21			PROPN
dem-1057	219	22			NUM
dem-1057	219	23			NUM
dem-1057	219	24			PROPN
dem-1057	219	25	-1.6307	-1.6307	PUNCT
dem-1057	219	26	0.1506	0.1506	NUM
dem-1057	219	27	-0.0589	-0.0589	NOUN
dem-1057	220	1	0.4975	0.4975	NUM
dem-1057	220	2	0.4882	0.4882	NUM
dem-1057	220	3	-0.6319	-0.6319	PROPN
dem-1057	220	4	-0.7915	-0.7915	NOUN
dem-1057	221	1	0.9709	0.9709	NUM
dem-1057	221	2	0.8154	0.8154	NUM
dem-1057	221	3	0.0632	0.0632	NUM
dem-1057	221	4	0.0621	0.0621	NUM
dem-1057	221	5	0.0794	0.0794	NUM
dem-1057	221	6	0.0253	0.0253	NUM
dem-1057	221	7	0.0461	0.0461	NUM
dem-1057	221	8	0.1780	0.1780	NUM
dem-1057	221	9	0.1823	0.1823	NUM
dem-1057	221	10	-1.9998	-1.9998	NOUN
dem-1057	221	11	2.3803	2.3803	NUM
dem-1057	221	12	-0.9496	-0.9496	NOUN
dem-1057	222	1	6.2677	6.2677	NUM
dem-1057	222	2	19.2694	19.2694	NUM
dem-1057	222	3	-13.7052	-13.7052	SYM
dem-1057	222	4	-4.4470	-4.4470	NOUN
dem-1057	222	5	5.3247	5.3247	NUM
dem-1057	222	6	0.0455	0.0455	NUM
dem-1057	222	7	0.0173	0.0173	NUM
dem-1057	222	8	0.3423	0.3423	NUM
dem-1057	222	9	0.0000	0.0000	NUM
dem-1057	222	10	0.0000	0.0000	NUM
dem-1057	222	11	0.0000	0.0000	NUM
dem-1057	222	12	0.0000	0.0000	NUM
dem-1057	222	13	0.0000	0.0000	NUM
dem-1057	222	14			ADP
dem-1057	222	15	=	=	PUNCT
dem-1057	222	16	0.4466	0.4466	NUM
dem-1057	222	17	test	test	NOUN
dem-1057	222	18	lr	lr	NOUN
dem-1057	222	19	:	:	PUNCT
dem-1057	222	20	189.85	189.85	NUM
dem-1057	222	21	;	;	PUNCT
dem-1057	223	1	p	p	X
dem-1057	223	2	-	-	PUNCT
dem-1057	223	3	value	value	NOUN
dem-1057	223	4	:	:	PUNCT
dem-1057	223	5	0.0000	0.0000	NUM
dem-1057	223	6	wald	wald	NOUN
dem-1057	223	7	statistic	statistic	NOUN
dem-1057	223	8	:	:	PUNCT
dem-1057	223	9	351.93	351.93	NUM
dem-1057	223	10	;	;	PUNCT
dem-1057	223	11	p	p	X
dem-1057	223	12	-	-	PUNCT
dem-1057	223	13	value	value	NOUN
dem-1057	223	14	:	:	PUNCT
dem-1057	223	15	0.0000	0.0000	NUM
dem-1057	223	16	aic	aic	PROPN
dem-1057	223	17	:	:	PUNCT
dem-1057	223	18	10456	10456	NUM
dem-1057	223	19	(	(	PUNCT
dem-1057	223	20	aic	aic	PROPN
dem-1057	223	21	for	for	ADP
dem-1057	223	22	lm	lm	ADJ
dem-1057	223	23	:	:	PUNCT
dem-1057	223	24	10643	10643	NUM
dem-1057	223	25	)	)	PUNCT
dem-1057	223	26	residual	residual	ADJ
dem-1057	223	27	autocorrelation	autocorrelation	NOUN
dem-1057	223	28	test	test	NOUN
dem-1057	223	29	lm	lm	ADP
dem-1057	223	30	:	:	PUNCT
dem-1057	223	31	3.4071	3.4071	NUM
dem-1057	223	32	;	;	PUNCT
dem-1057	223	33	p	p	X
dem-1057	223	34	-	-	PUNCT
dem-1057	223	35	value	value	NOUN
dem-1057	223	36	:	:	PUNCT
dem-1057	223	37	0.0649	0.0649	NUM
dem-1057	223	38	moran	moran	PROPN
dem-1057	223	39	statistic	statistic	PROPN
dem-1057	223	40	:	:	PUNCT
dem-1057	223	41	0.7442	0.7442	NUM
dem-1057	223	42	;	;	PUNCT
dem-1057	223	43	p	p	X
dem-1057	223	44	-	-	PUNCT
dem-1057	223	45	value	value	NOUN
dem-1057	223	46	:	:	PUNCT
dem-1057	223	47	0.2284	0.2284	NUM
dem-1057	223	48	reduced	reduced	ADJ
dem-1057	223	49	model	model	NOUN
dem-1057	223	50	:	:	PUNCT
dem-1057	223	51			NOUN
dem-1057	223	52			PROPN
dem-1057	223	53			NOUN
dem-1057	223	54			SYM
dem-1057	223	55			NOUN
dem-1057	223	56			SYM
dem-1057	223	57			NOUN
dem-1057	223	58			SYM
dem-1057	223	59			NOUN
dem-1057	223	60			SYM
dem-1057	223	61			NOUN
dem-1057	223	62			SYM
dem-1057	223	63			PROPN
dem-1057	223	64	ttxtxtx	ttxtxtx	ADJ
dem-1057	223	65	tytytty	tytytty	NOUN
dem-1057	223	66	,	,	PUNCT
dem-1057	223	67	1	1	NUM
dem-1057	223	68	,	,	PUNCT
dem-1057	223	69	,	,	PUNCT
dem-1057	223	70	,	,	PUNCT
dem-1057	223	71	1	1	NUM
dem-1057	223	72	,	,	PUNCT
dem-1057	223	73	,	,	PUNCT
dem-1057	223	74	,	,	PUNCT
dem-1057	223	75	001000	001000	NUM
dem-1057	223	76	ppwpwp	ppwpwp	VERB
dem-1057	223	77	pwpwp	pwpwp	NOUN
dem-1057	223	78			VERB
dem-1057	223	79			ADJ
dem-1057	223	80			NOUN
dem-1057	223	81			VERB
dem-1057	223	82			NOUN
dem-1057	223	83			NUM
dem-1057	223	84	parameters	parameter	NOUN
dem-1057	223	85	estimates	estimate	NOUN
dem-1057	223	86	of	of	ADP
dem-1057	223	87	parameters	parameter	NOUN
dem-1057	223	88	standard	standard	ADJ
dem-1057	223	89	deviations	deviation	NOUN
dem-1057	223	90	statistics	statistic	NOUN
dem-1057	223	91	z	z	PROPN
dem-1057	223	92	pr(>|z|	pr(>|z|	PROPN
dem-1057	223	93	)	)	PUNCT
dem-1057	223	94	000	000	PROPN
dem-1057	223	95	001	001	NOUN
dem-1057	223	96			PROPN
dem-1057	223	97			NUM
dem-1057	223	98			NUM
dem-1057	223	99			NOUN
dem-1057	223	100	-0.2661	-0.2661	NOUN
dem-1057	223	101	0.4718	0.4718	NUM
dem-1057	223	102	0.4622	0.4622	NUM
dem-1057	223	103	-0.6332	-0.6332	NOUN
dem-1057	223	104	-0.8660	-0.8660	X
dem-1057	224	1	0.8658	0.8658	NUM
dem-1057	225	1	0.5758	0.5758	NUM
dem-1057	225	2	0.0775	0.0775	NUM
dem-1057	225	3	0.0233	0.0233	NUM
dem-1057	225	4	0.0462	0.0462	NUM
dem-1057	225	5	0.1757	0.1757	NUM
dem-1057	225	6	0.1784	0.1784	NUM
dem-1057	225	7	-0.4622	-0.4622	PUNCT
dem-1057	226	1	6.0847	6.0847	NUM
dem-1057	226	2	19.8427	19.8427	NUM
dem-1057	226	3	-13.7195	-13.7195	SYM
dem-1057	226	4	-4.9275	-4.9275	PROPN
dem-1057	226	5	4.8538	4.8538	NUM
dem-1057	226	6	0.6439	0.6439	NUM
dem-1057	226	7	0.0000	0.0000	NUM
dem-1057	226	8	0.0000	0.0000	NUM
dem-1057	226	9	0.0000	0.0000	NUM
dem-1057	226	10	0.0000	0.0000	NUM
dem-1057	226	11	0.0000	0.0000	NUM
dem-1057	226	12			ADP
dem-1057	226	13	=	=	PUNCT
dem-1057	226	14	0.4483	0.4483	NUM
dem-1057	226	15	test	test	NOUN
dem-1057	226	16	lr	lr	NOUN
dem-1057	226	17	:	:	PUNCT
dem-1057	226	18	191.29	191.29	NUM
dem-1057	226	19	;	;	PUNCT
dem-1057	226	20	p	p	X
dem-1057	226	21	-	-	PUNCT
dem-1057	226	22	value	value	NOUN
dem-1057	226	23	:	:	PUNCT
dem-1057	226	24	0.0000	0.0000	NUM
dem-1057	226	25	wald	wald	NOUN
dem-1057	226	26	statistic	statistic	NOUN
dem-1057	226	27	:	:	PUNCT
dem-1057	226	28	359.94	359.94	NUM
dem-1057	226	29	;	;	PUNCT
dem-1057	226	30	p	p	X
dem-1057	226	31	-	-	PUNCT
dem-1057	226	32	value	value	NOUN
dem-1057	226	33	:	:	PUNCT
dem-1057	226	34	0.0000	0.0000	NUM
dem-1057	226	35	aic	aic	PROPN
dem-1057	226	36	:	:	PUNCT
dem-1057	226	37	10458	10458	NUM
dem-1057	226	38	(	(	PUNCT
dem-1057	226	39	aic	aic	PROPN
dem-1057	226	40	for	for	ADP
dem-1057	226	41	lm	lm	PROPN
dem-1057	226	42	:	:	SYM
dem-1057	226	43	10648	10648	NUM
dem-1057	226	44	)	)	PUNCT
dem-1057	226	45	residual	residual	ADJ
dem-1057	226	46	autocorrelation	autocorrelation	NOUN
dem-1057	226	47	test	test	NOUN
dem-1057	226	48	lm	lm	NOUN
dem-1057	226	49	:	:	PUNCT
dem-1057	226	50	7.136	7.136	NUM
dem-1057	226	51	;	;	PUNCT
dem-1057	226	52	p	p	X
dem-1057	226	53	-	-	PUNCT
dem-1057	226	54	value	value	NOUN
dem-1057	226	55	:	:	PUNCT
dem-1057	226	56	0.0076	0.0076	NUM
dem-1057	226	57	moran	moran	PROPN
dem-1057	226	58	statistic	statistic	PROPN
dem-1057	226	59	:	:	PUNCT
dem-1057	226	60	1.0981	1.0981	NUM
dem-1057	226	61	;	;	PUNCT
dem-1057	226	62	p	p	X
dem-1057	226	63	-	-	PUNCT
dem-1057	226	64	value	value	NOUN
dem-1057	226	65	:	:	PUNCT
dem-1057	226	66	0.1361	0.1361	NUM
dem-1057	226	67	identification	identification	NOUN
dem-1057	226	68	of	of	ADP
dem-1057	226	69	the	the	DET
dem-1057	226	70	structures	structure	NOUN
dem-1057	226	71	of	of	ADP
dem-1057	226	72	spatial	spatial	ADJ
dem-1057	226	73	and	and	CCONJ
dem-1057	226	74	spatio	spatio	ADJ
dem-1057	226	75	-	-	PUNCT
dem-1057	226	76	temporal	temporal	ADJ
dem-1057	226	77	processes	process	NOUN
dem-1057	226	78	…	…	PUNCT
dem-1057	226	79	19	19	NUM
dem-1057	226	80	table	table	NOUN
dem-1057	226	81	8	8	NUM
dem-1057	226	82	.	.	PUNCT
dem-1057	227	1	characteristics	characteristic	NOUN
dem-1057	227	2	of	of	ADP
dem-1057	227	3	quasi	quasi	ADJ
dem-1057	227	4	-	-	ADJ
dem-1057	227	5	congruent	congruent	ADJ
dem-1057	227	6	models	model	NOUN
dem-1057	227	7	for	for	ADP
dem-1057	227	8	sub	sub	NOUN
dem-1057	227	9	-	-	NOUN
dem-1057	227	10	regions	region	NOUN
dem-1057	227	11	–	–	PUNCT
dem-1057	227	12	variant	variant	NOUN
dem-1057	227	13	ii	ii	PROPN
dem-1057	227	14	b	b	X
dem-1057	227	15	)	)	PUNCT
dem-1057	227	16	full	full	ADJ
dem-1057	227	17	model	model	NOUN
dem-1057	227	18	:	:	PUNCT
dem-1057	227	19			NOUN
dem-1057	227	20			PROPN
dem-1057	227	21			NOUN
dem-1057	227	22			SYM
dem-1057	227	23			NOUN
dem-1057	227	24			SYM
dem-1057	227	25			NOUN
dem-1057	227	26			SYM
dem-1057	227	27			NOUN
dem-1057	227	28			SYM
dem-1057	227	29			NOUN
dem-1057	227	30			SYM
dem-1057	227	31			PROPN
dem-1057	227	32	ttxtxtx	ttxtxtx	ADJ
dem-1057	227	33	tytytppty	tytytppty	ADJ
dem-1057	227	34	,	,	PUNCT
dem-1057	227	35	1	1	NUM
dem-1057	227	36	,	,	PUNCT
dem-1057	227	37	,	,	PUNCT
dem-1057	227	38	,	,	PUNCT
dem-1057	227	39	1	1	NUM
dem-1057	227	40	,	,	PUNCT
dem-1057	227	41	,	,	PUNCT
dem-1057	227	42	,	,	PUNCT
dem-1057	227	43	00120101100000	00120101100000	NUM
dem-1057	227	44	ppwpwp	ppwpwp	VERB
dem-1057	227	45	pwpwp	pwpwp	NOUN
dem-1057	227	46			VERB
dem-1057	227	47			PUNCT
dem-1057	227	48			NOUN
dem-1057	227	49			VERB
dem-1057	227	50			PUNCT
dem-1057	227	51			NUM
dem-1057	227	52	parameters	parameter	NOUN
dem-1057	227	53	estimates	estimate	NOUN
dem-1057	227	54	of	of	ADP
dem-1057	227	55	parameters	parameter	NOUN
dem-1057	227	56	standard	standard	ADJ
dem-1057	227	57	deviations	deviation	NOUN
dem-1057	227	58	statistics	statistic	NOUN
dem-1057	227	59	z	z	PROPN
dem-1057	227	60	pr(>|z|	pr(>|z|	PROPN
dem-1057	227	61	)	)	PUNCT
dem-1057	227	62	000	000	PROPN
dem-1057	227	63	100	100	VERB
dem-1057	227	64	010	010	PROPN
dem-1057	227	65	001	001	PROPN
dem-1057	227	66			PROPN
dem-1057	227	67			NUM
dem-1057	227	68			NUM
dem-1057	227	69			NOUN
dem-1057	227	70	4.5273	4.5273	NUM
dem-1057	227	71	0.0047	0.0047	NUM
dem-1057	227	72	-0.0006	-0.0006	NOUN
dem-1057	227	73	0.2194	0.2194	NUM
dem-1057	227	74	0.4392	0.4392	NUM
dem-1057	227	75	-1.1887	-1.1887	ADJ
dem-1057	227	76	-1.6994	-1.6994	PROPN
dem-1057	227	77	1.7360	1.7360	NUM
dem-1057	227	78	2.8085	2.8085	NUM
dem-1057	227	79	0.0165	0.0165	NUM
dem-1057	227	80	0.0165	0.0165	NUM
dem-1057	227	81	0.2483	0.2483	NUM
dem-1057	227	82	0.0837	0.0837	NUM
dem-1057	227	83	0.1569	0.1569	NUM
dem-1057	228	1	0.5483	0.5483	NUM
dem-1057	228	2	0.5679	0.5679	NUM
dem-1057	228	3	1.6120	1.6120	NUM
dem-1057	228	4	0.2861	0.2861	NUM
dem-1057	228	5	-0.0371	-0.0371	NOUN
dem-1057	228	6	0.8838	0.8838	NUM
dem-1057	228	7	5.2446	5.2446	NUM
dem-1057	228	8	-7.5757	-7.5757	NOUN
dem-1057	228	9	-3.0992	-3.0992	NOUN
dem-1057	229	1	3.0568	3.0568	NUM
dem-1057	229	2	0.1070	0.1070	NUM
dem-1057	229	3	0.7748	0.7748	NUM
dem-1057	229	4	0.9704	0.9704	NUM
dem-1057	229	5	0.3768	0.3768	NUM
dem-1057	230	1	0.0000	0.0000	NUM
dem-1057	230	2	0.0000	0.0000	NUM
dem-1057	230	3	0.0019	0.0019	NUM
dem-1057	230	4	0.0022	0.0022	NUM
dem-1057	230	5			ADP
dem-1057	230	6	=	=	PUNCT
dem-1057	230	7	0.3148	0.3148	NUM
dem-1057	230	8	test	test	NOUN
dem-1057	230	9	lr	lr	NOUN
dem-1057	230	10	:	:	PUNCT
dem-1057	230	11	14.607	14.607	NUM
dem-1057	230	12	;	;	PUNCT
dem-1057	231	1	p	p	X
dem-1057	231	2	-	-	PUNCT
dem-1057	231	3	value	value	NOUN
dem-1057	231	4	:	:	PUNCT
dem-1057	231	5	0.0001	0.0001	NUM
dem-1057	231	6	wald	wald	NOUN
dem-1057	231	7	statistic	statistic	NOUN
dem-1057	231	8	:	:	PUNCT
dem-1057	231	9	26.774	26.774	NUM
dem-1057	231	10	;	;	PUNCT
dem-1057	231	11	p	p	X
dem-1057	231	12	-	-	PUNCT
dem-1057	231	13	value	value	NOUN
dem-1057	231	14	:	:	PUNCT
dem-1057	231	15	0.0000	0.0000	NUM
dem-1057	231	16	aic	aic	PROPN
dem-1057	231	17	:	:	PUNCT
dem-1057	231	18	1820.7	1820.7	NUM
dem-1057	231	19	(	(	PUNCT
dem-1057	231	20	aic	aic	PROPN
dem-1057	231	21	for	for	ADP
dem-1057	231	22	lm	lm	PROPN
dem-1057	231	23	:	:	PUNCT
dem-1057	231	24	1833.3	1833.3	NUM
dem-1057	231	25	)	)	PUNCT
dem-1057	231	26	residual	residual	ADJ
dem-1057	231	27	autocorrelation	autocorrelation	NOUN
dem-1057	231	28	test	test	NOUN
dem-1057	231	29	lm	lm	NOUN
dem-1057	231	30	:	:	PUNCT
dem-1057	231	31	0.2322	0.2322	NUM
dem-1057	231	32	;	;	PUNCT
dem-1057	231	33	p	p	X
dem-1057	231	34	-	-	PUNCT
dem-1057	231	35	value	value	NOUN
dem-1057	231	36	:	:	PUNCT
dem-1057	231	37	0.6299	0.6299	NUM
dem-1057	231	38	moran	moran	PROPN
dem-1057	231	39	statistic	statistic	PROPN
dem-1057	231	40	:	:	PUNCT
dem-1057	231	41	0.2175	0.2175	NUM
dem-1057	231	42	;	;	PUNCT
dem-1057	231	43	p	p	X
dem-1057	231	44	-	-	PUNCT
dem-1057	231	45	value	value	NOUN
dem-1057	231	46	:	:	PUNCT
dem-1057	231	47	0.4139	0.4139	NUM
dem-1057	231	48	reduced	reduced	ADJ
dem-1057	231	49	model	model	NOUN
dem-1057	231	50	:	:	PUNCT
dem-1057	231	51			NOUN
dem-1057	231	52			PROPN
dem-1057	231	53			NOUN
dem-1057	231	54			SYM
dem-1057	231	55			NOUN
dem-1057	231	56			SYM
dem-1057	231	57			NOUN
dem-1057	231	58			SYM
dem-1057	231	59			NOUN
dem-1057	231	60			SYM
dem-1057	231	61			NOUN
dem-1057	231	62			SYM
dem-1057	231	63			NOUN
dem-1057	231	64	ttxtx	ttxtx	ADJ
dem-1057	231	65	txtytyty	txtytyty	NOUN
dem-1057	231	66	,	,	PUNCT
dem-1057	231	67	1	1	NUM
dem-1057	231	68	,	,	PUNCT
dem-1057	231	69	,	,	PUNCT
dem-1057	231	70	,	,	PUNCT
dem-1057	231	71	1	1	NUM
dem-1057	231	72	,	,	PUNCT
dem-1057	231	73	,	,	PUNCT
dem-1057	231	74	,	,	PUNCT
dem-1057	231	75	000	000	NUM
dem-1057	231	76	ppwpw	ppwpw	PROPN
dem-1057	231	77	ppwpwp	ppwpwp	PROPN
dem-1057	231	78			PROPN
dem-1057	231	79			X
dem-1057	231	80			NUM
dem-1057	231	81			NOUN
dem-1057	231	82			NUM
dem-1057	231	83			NUM
dem-1057	231	84	parameters	parameter	NOUN
dem-1057	231	85	estimates	estimate	NOUN
dem-1057	231	86	of	of	ADP
dem-1057	231	87	parameters	parameter	NOUN
dem-1057	231	88	standard	standard	ADJ
dem-1057	231	89	deviations	deviation	NOUN
dem-1057	231	90	statistics	statistic	NOUN
dem-1057	231	91	z	z	PROPN
dem-1057	231	92	pr(>|z|	pr(>|z|	PROPN
dem-1057	231	93	)	)	PUNCT
dem-1057	231	94	000	000	PROPN
dem-1057	231	95			PROPN
dem-1057	231	96			NUM
dem-1057	231	97			NUM
dem-1057	231	98			ADJ
dem-1057	231	99	6.3379	6.3379	NUM
dem-1057	231	100	0.3855	0.3855	NUM
dem-1057	231	101	-1.2131	-1.2131	NOUN
dem-1057	231	102	-1.7387	-1.7387	NOUN
dem-1057	231	103	1.8079	1.8079	NUM
dem-1057	231	104	1.4305	1.4305	NUM
dem-1057	232	1	0.0566	0.0566	NUM
dem-1057	232	2	0.1491	0.1491	NUM
dem-1057	232	3	0.5353	0.5353	NUM
dem-1057	232	4	0.5220	0.5220	NUM
dem-1057	232	5	4.4306	4.4306	NUM
dem-1057	232	6	6.8075	6.8075	NUM
dem-1057	232	7	-8.1375	-8.1375	NOUN
dem-1057	232	8	-3.2479	-3.2479	NOUN
dem-1057	233	1	3.4631	3.4631	NUM
dem-1057	233	2	0.0000	0.0000	NUM
dem-1057	233	3	0.0000	0.0000	NUM
dem-1057	233	4	0.0000	0.0000	NUM
dem-1057	233	5	0.0012	0.0012	NUM
dem-1057	233	6	0.0005	0.0005	NUM
dem-1057	233	7			ADP
dem-1057	233	8	=	=	PUNCT
dem-1057	233	9	0.3256	0.3256	NUM
dem-1057	233	10	test	test	NOUN
dem-1057	233	11	lr	lr	NOUN
dem-1057	233	12	:	:	PUNCT
dem-1057	233	13	16.022	16.022	NUM
dem-1057	233	14	;	;	PUNCT
dem-1057	233	15	p	p	X
dem-1057	233	16	-	-	PUNCT
dem-1057	233	17	value	value	NOUN
dem-1057	233	18	:	:	PUNCT
dem-1057	233	19	0.0000	0.0000	NUM
dem-1057	233	20	wald	wald	NOUN
dem-1057	233	21	statistic	statistic	NOUN
dem-1057	233	22	:	:	PUNCT
dem-1057	233	23	29.457	29.457	NUM
dem-1057	233	24	;	;	PUNCT
dem-1057	233	25	p	p	X
dem-1057	233	26	-	-	PUNCT
dem-1057	233	27	value	value	NOUN
dem-1057	233	28	:	:	PUNCT
dem-1057	233	29	0.0000	0.0000	NUM
dem-1057	233	30	aic	aic	PROPN
dem-1057	233	31	:	:	PUNCT
dem-1057	233	32	1815.6	1815.6	NUM
dem-1057	233	33	(	(	PUNCT
dem-1057	233	34	aic	aic	PROPN
dem-1057	233	35	for	for	ADP
dem-1057	233	36	lm	lm	PROPN
dem-1057	233	37	:	:	PUNCT
dem-1057	233	38	1829.6	1829.6	NUM
dem-1057	233	39	)	)	PUNCT
dem-1057	233	40	residual	residual	ADJ
dem-1057	233	41	autocorrelation	autocorrelation	NOUN
dem-1057	233	42	test	test	NOUN
dem-1057	233	43	lm	lm	ADP
dem-1057	233	44	:	:	PUNCT
dem-1057	233	45	1.1578	1.1578	NUM
dem-1057	233	46	;	;	PUNCT
dem-1057	233	47	p	p	X
dem-1057	233	48	-	-	PUNCT
dem-1057	233	49	value	value	NOUN
dem-1057	233	50	:	:	PUNCT
dem-1057	233	51	0.2819	0.2819	NUM
dem-1057	233	52	moran	moran	PROPN
dem-1057	233	53	statistic	statistic	PROPN
dem-1057	233	54	:	:	PUNCT
dem-1057	233	55	0.4223	0.4223	NUM
dem-1057	233	56	;	;	PUNCT
dem-1057	233	57	p	p	X
dem-1057	233	58	-	-	PUNCT
dem-1057	233	59	value	value	NOUN
dem-1057	233	60	:	:	PUNCT
dem-1057	233	61	0.3364	0.3364	NUM
dem-1057	233	62	conclusions	conclusion	NOUN
dem-1057	233	63	in	in	ADP
dem-1057	233	64	the	the	DET
dem-1057	233	65	modelling	modelling	NOUN
dem-1057	233	66	of	of	ADP
dem-1057	233	67	the	the	DET
dem-1057	233	68	dependence	dependence	NOUN
dem-1057	233	69	of	of	ADP
dem-1057	233	70	spatial	spatial	ADJ
dem-1057	233	71	processes	process	NOUN
dem-1057	233	72	and	and	CCONJ
dem-1057	233	73	also	also	ADV
dem-1057	233	74	spatiotemporal	spatiotemporal	ADJ
dem-1057	233	75	processes	process	VERB
dem-1057	233	76	the	the	DET
dem-1057	233	77	principle	principle	NOUN
dem-1057	233	78	of	of	ADP
dem-1057	233	79	congruency	congruency	NOUN
dem-1057	233	80	of	of	ADP
dem-1057	233	81	the	the	DET
dem-1057	233	82	structures	structure	NOUN
dem-1057	233	83	of	of	ADP
dem-1057	233	84	the	the	DET
dem-1057	233	85	separate	separate	ADJ
dem-1057	233	86	processes	process	NOUN
dem-1057	233	87	should	should	AUX
dem-1057	233	88	be	be	AUX
dem-1057	233	89	applied	apply	VERB
dem-1057	233	90	.	.	PUNCT
dem-1057	234	1	limited	limited	ADJ
dem-1057	234	2	efficiency	efficiency	NOUN
dem-1057	234	3	of	of	ADP
dem-1057	234	4	the	the	DET
dem-1057	234	5	spatial	spatial	ADJ
dem-1057	234	6	and	and	CCONJ
dem-1057	234	7	spatiotemporal	spatiotemporal	ADJ
dem-1057	234	8	quasi	quasi	ADJ
dem-1057	234	9	-	-	ADJ
dem-1057	234	10	congruent	congruent	ADJ
dem-1057	234	11	models	model	NOUN
dem-1057	234	12	as	as	ADP
dem-1057	234	13	the	the	DET
dem-1057	234	14	tools	tool	NOUN
dem-1057	234	15	of	of	ADP
dem-1057	234	16	discovering	discover	VERB
dem-1057	234	17	the	the	DET
dem-1057	234	18	real	real	ADJ
dem-1057	234	19	dependence	dependence	NOUN
dem-1057	234	20	between	between	ADP
dem-1057	234	21	the	the	DET
dem-1057	234	22	processes	process	NOUN
dem-1057	234	23	(	(	PUNCT
dem-1057	234	24	in	in	ADP
dem-1057	234	25	particular	particular	ADJ
dem-1057	234	26	the	the	DET
dem-1057	234	27	differences	difference	NOUN
dem-1057	234	28	in	in	ADP
dem-1057	234	29	estimating	estimate	VERB
dem-1057	234	30	the	the	DET
dem-1057	234	31	dependence	dependence	NOUN
dem-1057	234	32	at	at	ADP
dem-1057	234	33	different	different	ADJ
dem-1057	234	34	levels	level	NOUN
dem-1057	234	35	of	of	ADP
dem-1057	234	36	data	datum	NOUN
dem-1057	234	37	aggregation	aggregation	NOUN
dem-1057	234	38	observed	observe	VERB
dem-1057	234	39	)	)	PUNCT
dem-1057	234	40	result	result	NOUN
dem-1057	234	41	,	,	PUNCT
dem-1057	234	42	first	first	ADV
dem-1057	234	43	of	of	ADP
dem-1057	234	44	elżbieta	elżbieta	PROPN
dem-1057	234	45	szulc	szulc	PROPN
dem-1057	234	46	20	20	NUM
dem-1057	234	47	all	all	DET
dem-1057	234	48	,	,	PUNCT
dem-1057	234	49	from	from	ADP
dem-1057	234	50	imperfection	imperfection	NOUN
dem-1057	234	51	of	of	ADP
dem-1057	234	52	the	the	DET
dem-1057	234	53	measurement	measurement	NOUN
dem-1057	234	54	of	of	ADP
dem-1057	234	55	autodependence	autodependence	NOUN
dem-1057	234	56	in	in	ADP
dem-1057	234	57	the	the	DET
dem-1057	234	58	investigated	investigate	VERB
dem-1057	234	59	processes	process	NOUN
dem-1057	234	60	.	.	PUNCT
dem-1057	235	1	references	reference	NOUN
dem-1057	235	2	arbia	arbia	PROPN
dem-1057	235	3	,	,	PUNCT
dem-1057	235	4	g.	g.	PROPN
dem-1057	235	5	(	(	PUNCT
dem-1057	235	6	1988	1988	NUM
dem-1057	235	7	)	)	PUNCT
dem-1057	235	8	,	,	PUNCT
dem-1057	235	9	spatial	spatial	ADJ
dem-1057	235	10	data	data	NOUN
dem-1057	235	11	configuration	configuration	NOUN
dem-1057	235	12	in	in	ADP
dem-1057	235	13	statistical	statistical	ADJ
dem-1057	235	14	analysis	analysis	NOUN
dem-1057	235	15	of	of	ADP
dem-1057	235	16	regional	regional	ADJ
dem-1057	235	17	economic	economic	ADJ
dem-1057	235	18	and	and	CCONJ
dem-1057	235	19	related	related	ADJ
dem-1057	235	20	problems	problem	NOUN
dem-1057	235	21	,	,	PUNCT
dem-1057	235	22	kluwer	kluwer	PROPN
dem-1057	235	23	academic	academic	PROPN
dem-1057	235	24	press	press	PROPN
dem-1057	235	25	,	,	PUNCT
dem-1057	235	26	dordrecht	dordrecht	PROPN
dem-1057	235	27	.	.	PUNCT
dem-1057	236	1	haining	haining	PROPN
dem-1057	236	2	,	,	PUNCT
dem-1057	236	3	r.	r.	PROPN
dem-1057	236	4	(	(	PUNCT
dem-1057	236	5	2005	2005	NUM
dem-1057	236	6	)	)	PUNCT
dem-1057	236	7	,	,	PUNCT
dem-1057	236	8	spatial	spatial	ADJ
dem-1057	236	9	data	datum	NOUN
dem-1057	236	10	analysis	analysis	NOUN
dem-1057	236	11	.	.	PUNCT
dem-1057	237	1	theory	theory	NOUN
dem-1057	237	2	and	and	CCONJ
dem-1057	237	3	practice	practice	NOUN
dem-1057	237	4	,	,	PUNCT
dem-1057	237	5	cambridge	cambridge	PROPN
dem-1057	237	6	university	university	PROPN
dem-1057	237	7	press	press	NOUN
dem-1057	237	8	,	,	PUNCT
dem-1057	238	1	3th	3th	PROPN
dem-1057	238	2	ed	ed	NOUN
dem-1057	238	3	.	.	PROPN
dem-1057	239	1	,	,	PUNCT
dem-1057	239	2	cambridge	cambridge	PROPN
dem-1057	239	3	.	.	PROPN
dem-1057	239	4	pietrzak	pietrzak	PROPN
dem-1057	239	5	,	,	PUNCT
dem-1057	239	6	m.	m.	PROPN
dem-1057	239	7	b.	b.	PROPN
dem-1057	239	8	(	(	PUNCT
dem-1057	239	9	2010	2010	NUM
dem-1057	239	10	)	)	PUNCT
dem-1057	239	11	,	,	PUNCT
dem-1057	239	12	dwuetapowa	dwuetapowa	NOUN
dem-1057	239	13	procedura	procedura	PROPN
dem-1057	239	14	budowy	budowy	ADJ
dem-1057	239	15	przestrzennej	przestrzennej	PROPN
dem-1057	239	16	macierzy	macierzy	PROPN
dem-1057	239	17	wag	wag	VERB
dem-1057	239	18	z	z	PROPN
dem-1057	239	19	uwzględnieniem	uwzględnieniem	PROPN
dem-1057	240	1	odległości	odległości	PROPN
dem-1057	240	2	ekonomicznej	ekonomicznej	PROPN
dem-1057	240	3	(	(	PUNCT
dem-1057	240	4	two	two	NUM
dem-1057	240	5	-	-	PUNCT
dem-1057	240	6	stage	stage	NOUN
dem-1057	240	7	procedure	procedure	NOUN
dem-1057	240	8	of	of	ADP
dem-1057	240	9	building	build	VERB
dem-1057	240	10	a	a	DET
dem-1057	240	11	spatial	spatial	ADJ
dem-1057	240	12	weight	weight	NOUN
dem-1057	240	13	matrix	matrix	NOUN
dem-1057	240	14	with	with	ADP
dem-1057	240	15	the	the	DET
dem-1057	240	16	consideration	consideration	NOUN
dem-1057	240	17	of	of	ADP
dem-1057	240	18	economic	economic	ADJ
dem-1057	240	19	distance	distance	NOUN
dem-1057	240	20	)	)	PUNCT
dem-1057	240	21	,	,	PUNCT
dem-1057	240	22	oeconomia	oeconomia	NOUN
dem-1057	240	23	copernicana	copernicana	PROPN
dem-1057	240	24	,	,	PUNCT
dem-1057	240	25	1	1	NUM
dem-1057	240	26	,	,	PUNCT
dem-1057	240	27	wydawnictwo	wydawnictwo	PROPN
dem-1057	240	28	umk	umk	NOUN
dem-1057	240	29	,	,	PUNCT
dem-1057	240	30	toruń	toruń	NOUN
dem-1057	240	31	,	,	PUNCT
dem-1057	240	32	65–78	65–78	NUM
dem-1057	240	33	.	.	PUNCT
dem-1057	241	1	szulc	szulc	PROPN
dem-1057	241	2	,	,	PUNCT
dem-1057	241	3	e.	e.	PROPN
dem-1057	241	4	,	,	PUNCT
dem-1057	241	5	müller	müller	PROPN
dem-1057	241	6	-	-	PUNCT
dem-1057	241	7	frączek	frączek	PROPN
dem-1057	241	8	,	,	PUNCT
dem-1057	241	9	i.	i.	PROPN
dem-1057	241	10	,	,	PUNCT
dem-1057	241	11	pietrzak	pietrzak	NOUN
dem-1057	241	12	,	,	PUNCT
dem-1057	241	13	m.	m.	PROPN
dem-1057	241	14	b.	b.	PROPN
dem-1057	241	15	(	(	PUNCT
dem-1057	241	16	2011	2011	NUM
dem-1057	241	17	)	)	PUNCT
dem-1057	241	18	,	,	PUNCT
dem-1057	241	19	modelowanie	modelowanie	PROPN
dem-1057	241	20	zależności	zależności	PROPN
dem-1057	241	21	między	między	ADV
dem-1057	241	22	ekonomicznymi	ekonomicznymi	VERB
dem-1057	241	23	procesami	procesami	NOUN
dem-1057	241	24	przestrzennymi	przestrzennymi	NOUN
dem-1057	241	25	a	a	DET
dem-1057	241	26	poziom	poziom	ADJ
dem-1057	241	27	agregacji	agregacji	NOUN
dem-1057	241	28	danych	danych	NOUN
dem-1057	241	29	(	(	PUNCT
dem-1057	241	30	modeling	modeling	NOUN
dem-1057	241	31	of	of	ADP
dem-1057	241	32	dependence	dependence	NOUN
dem-1057	241	33	between	between	ADP
dem-1057	241	34	economic	economic	ADJ
dem-1057	241	35	spatial	spatial	ADJ
dem-1057	241	36	processes	process	NOUN
dem-1057	241	37	and	and	CCONJ
dem-1057	241	38	the	the	DET
dem-1057	241	39	level	level	NOUN
dem-1057	241	40	of	of	ADP
dem-1057	241	41	data	data	NOUN
dem-1057	241	42	aggregation	aggregation	NOUN
dem-1057	241	43	)	)	PUNCT
dem-1057	241	44	,	,	PUNCT
dem-1057	241	45	in	in	ADP
dem-1057	241	46	suchecka	suchecka	PROPN
dem-1057	241	47	j.	j.	PROPN
dem-1057	241	48	(	(	PUNCT
dem-1057	241	49	ed	ed	NOUN
dem-1057	241	50	.	.	PUNCT
dem-1057	241	51	)	)	PUNCT
dem-1057	241	52	,	,	PUNCT
dem-1057	241	53	ekonometria	ekonometria	PROPN
dem-1057	241	54	przestrzenna	przestrzenna	NOUN
dem-1057	241	55	i	i	PRON
dem-1057	241	56	regionalne	regionalne	VERB
dem-1057	241	57	analizy	analizy	PROPN
dem-1057	241	58	ekonomiczne	ekonomiczne	NOUN
dem-1057	241	59	(	(	PUNCT
dem-1057	241	60	spatial	spatial	ADJ
dem-1057	241	61	econometrics	econometric	NOUN
dem-1057	241	62	and	and	CCONJ
dem-1057	241	63	regional	regional	ADJ
dem-1057	241	64	economic	economic	ADJ
dem-1057	241	65	analyses	analysis	NOUN
dem-1057	241	66	)	)	PUNCT
dem-1057	241	67	,	,	PUNCT
dem-1057	241	68	folia	folia	PROPN
dem-1057	241	69	oeconomica	oeconomica	PROPN
dem-1057	241	70	,	,	PUNCT
dem-1057	241	71	wydawnictwo	wydawnictwo	PROPN
dem-1057	241	72	uniwersytetu	uniwersytetu	NOUN
dem-1057	241	73	łódzkiego	łódzkiego	ADJ
dem-1057	241	74	,	,	PUNCT
dem-1057	242	1	327–344	327–344	PROPN
dem-1057	242	2	.	.	PUNCT
dem-1057	242	3	szulc	szulc	PROPN
dem-1057	242	4	,	,	PUNCT
dem-1057	242	5	e.	e.	PROPN
dem-1057	242	6	(	(	PUNCT
dem-1057	242	7	2011	2011	NUM
dem-1057	242	8	)	)	PUNCT
dem-1057	242	9	,	,	PUNCT
dem-1057	242	10	ekonometryczna	ekonometryczna	PROPN
dem-1057	242	11	identyfikacja	identyfikacja	PROPN
dem-1057	242	12	struktur	struktur	PROPN
dem-1057	242	13	procesów	procesów	PROPN
dem-1057	242	14	przestrzennych	przestrzennych	PROPN
dem-1057	242	15	wobec	wobec	PROPN
dem-1057	242	16	problemu	problemu	ADV
dem-1057	242	17	agregacji	agregacji	NOUN
dem-1057	242	18	danych	danych	PROPN
dem-1057	242	19	(	(	PUNCT
dem-1057	242	20	econometric	econometric	ADJ
dem-1057	242	21	identification	identification	NOUN
dem-1057	242	22	of	of	ADP
dem-1057	242	23	the	the	DET
dem-1057	242	24	structures	structure	NOUN
dem-1057	242	25	of	of	ADP
dem-1057	242	26	spatial	spatial	ADJ
dem-1057	242	27	processes	process	NOUN
dem-1057	242	28	and	and	CCONJ
dem-1057	242	29	a	a	DET
dem-1057	242	30	problem	problem	NOUN
dem-1057	242	31	of	of	ADP
dem-1057	242	32	data	data	NOUN
dem-1057	242	33	aggregation	aggregation	NOUN
dem-1057	242	34	)	)	PUNCT
dem-1057	242	35	,	,	PUNCT
dem-1057	242	36	acta	acta	PROPN
dem-1057	242	37	universitatis	universitatis	PROPN
dem-1057	242	38	nicolai	nicolai	PROPN
dem-1057	242	39	copernici	copernici	PROPN
dem-1057	242	40	,	,	PUNCT
dem-1057	242	41	ekonomia	ekonomia	PROPN
dem-1057	242	42	xlii	xlii	PROPN
dem-1057	242	43	–	–	PUNCT
dem-1057	242	44	nauki	nauki	PROPN
dem-1057	242	45	humanistyczno	humanistyczno	PROPN
dem-1057	242	46	-	-	PUNCT
dem-1057	242	47	społeczne	społeczne	PROPN
dem-1057	242	48	,	,	PUNCT
dem-1057	242	49	z.	z.	PROPN
dem-1057	242	50	392	392	NUM
dem-1057	242	51	,	,	PUNCT
dem-1057	242	52	toruń	toruń	NOUN
dem-1057	242	53	,	,	PUNCT
dem-1057	242	54	in	in	ADP
dem-1057	242	55	press	press	NOUN
dem-1057	242	56	.	.	PUNCT
dem-1057	243	1	identyfikacja	identyfikacja	PROPN
dem-1057	243	2	struktur	struktur	PROPN
dem-1057	243	3	procesów	procesów	PROPN
dem-1057	243	4	przestrzennych	przestrzennych	PROPN
dem-1057	243	5	i	i	PRON
dem-1057	243	6	przestrzennoczasowych	przestrzennoczasowych	VERB
dem-1057	243	7	wobec	wobec	NOUN
dem-1057	243	8	problemu	problemu	NOUN
dem-1057	243	9	agregacji	agregacji	NOUN
dem-1057	243	10	danych	danych	PROPN
dem-1057	243	11	z	z	NOUN
dem-1057	243	12	a	a	DET
dem-1057	243	13	r	r	NOUN
dem-1057	243	14	y	y	PROPN
dem-1057	243	15	s	s	PROPN
dem-1057	243	16	t	t	NOUN
dem-1057	243	17	r	r	NOUN
dem-1057	243	18	e	e	PROPN
dem-1057	243	19	ś	ś	PROPN
dem-1057	243	20	c	c	PROPN
dem-1057	243	21	i.	i.	PROPN
dem-1057	243	22	artykuł	artykuł	PROPN
dem-1057	243	23	dotyczy	dotyczy	PROPN
dem-1057	243	24	odkrywania	odkrywania	PROPN
dem-1057	243	25	zależności	zależności	PROPN
dem-1057	243	26	między	między	ADV
dem-1057	243	27	ekonomicznymi	ekonomicznymi	VERB
dem-1057	243	28	procesami	procesami	NOUN
dem-1057	243	29	przestrzennymi	przestrzennymi	NOUN
dem-1057	243	30	a	a	DET
dem-1057	243	31	także	także	NOUN
dem-1057	243	32	przestrzenno	przestrzenno	NOUN
dem-1057	243	33	-	-	PUNCT
dem-1057	243	34	czasowymi	czasowymi	NOUN
dem-1057	243	35	,	,	PUNCT
dem-1057	243	36	gdy	gdy	PROPN
dem-1057	243	37	są	są	PROPN
dem-1057	243	38	one	one	NUM
dem-1057	243	39	mierzone	mierzone	NOUN
dem-1057	243	40	na	na	NOUN
dem-1057	243	41	różnych	różnych	NOUN
dem-1057	243	42	poziomach	poziomach	VERB
dem-1057	243	43	agregacji	agregacji	NOUN
dem-1057	243	44	danych	danych	PROPN
dem-1057	243	45	.	.	PUNCT
dem-1057	244	1	rozważania	rozważania	NOUN
dem-1057	244	2	nawiązują	nawiązują	PROPN
dem-1057	244	3	do	do	VERB
dem-1057	244	4	badań	badań	NOUN
dem-1057	244	5	,	,	PUNCT
dem-1057	244	6	potwierdzających	potwierdzających	NOUN
dem-1057	244	7	efektywność	efektywność	NOUN
dem-1057	244	8	tzw	tzw	PROPN
dem-1057	244	9	.	.	PUNCT
dem-1057	245	1	quasizgodnego	quasizgodnego	PROPN
dem-1057	245	2	modelu	modelu	PROPN
dem-1057	245	3	przestrzennego	przestrzennego	PROPN
dem-1057	245	4	jako	jako	PROPN
dem-1057	245	5	narzędzia	narzędzia	PROPN
dem-1057	245	6	pomiaru	pomiaru	NOUN
dem-1057	245	7	rzeczywistych	rzeczywistych	PROPN
dem-1057	245	8	zależności	zależności	PROPN
dem-1057	245	9	między	między	PROPN
dem-1057	245	10	procesami	procesami	PROPN
dem-1057	245	11	.	.	PUNCT
dem-1057	246	1	wykorzystuje	wykorzystuje	PROPN
dem-1057	246	2	się	się	PROPN
dem-1057	246	3	koncepcję	koncepcję	PROPN
dem-1057	246	4	modelu	modelu	PROPN
dem-1057	246	5	quasi	quasi	PROPN
dem-1057	246	6	-	-	ADJ
dem-1057	246	7	zgodnego	zgodnego	ADJ
dem-1057	246	8	także	także	NOUN
dem-1057	246	9	w	w	PROPN
dem-1057	246	10	odniesieniu	odniesieniu	PROPN
dem-1057	246	11	do	do	VERB
dem-1057	246	12	procesów	procesów	PROPN
dem-1057	246	13	przestrzenno	przestrzenno	NOUN
dem-1057	246	14	-	-	PUNCT
dem-1057	246	15	czasowych	czasowych	NOUN
dem-1057	246	16	.	.	PUNCT
dem-1057	247	1	poszukuje	poszukuje	PROPN
dem-1057	247	2	się	się	PROPN
dem-1057	247	3	opisu	opisu	PROPN
dem-1057	247	4	powiązań	powiązań	NOUN
dem-1057	247	5	przestrzennych	przestrzennych	NOUN
dem-1057	247	6	i	i	PRON
dem-1057	247	7	przestrzenno	przestrzenno	NOUN
dem-1057	247	8	-	-	PUNCT
dem-1057	247	9	czasowych	czasowych	NOUN
dem-1057	247	10	adekwatnego	adekwatnego	NOUN
dem-1057	247	11	do	do	VERB
dem-1057	247	12	wyrażenia	wyrażenia	PROPN
dem-1057	247	13	autozależności	autozależności	PROPN
dem-1057	247	14	w	w	PROPN
dem-1057	247	15	badanych	badanych	PROPN
dem-1057	247	16	procesach	procesach	PROPN
dem-1057	247	17	.	.	PUNCT
dem-1057	248	1	proponuje	proponuje	PROPN
dem-1057	248	2	się	się	PROPN
dem-1057	248	3	wykorzystanie	wykorzystanie	PROPN
dem-1057	248	4	odległości	odległości	PROPN
dem-1057	248	5	ekonomicznej	ekonomicznej	PROPN
dem-1057	248	6	,	,	PUNCT
dem-1057	248	7	mierzącej	mierzącej	AUX
dem-1057	248	8	podobieństwo	podobieństwo	NUM
dem-1057	248	9	regionów	regionów	NOUN
dem-1057	248	10	na	na	ADP
dem-1057	248	11	podstawie	podstawie	NOUN
dem-1057	248	12	wartości	wartości	PROPN
dem-1057	248	13	analizowanych	analizowanych	NOUN
dem-1057	248	14	procesów	procesów	ADV
dem-1057	248	15	.	.	PUNCT
dem-1057	249	1	s	s	PROPN
dem-1057	249	2	ł	ł	PROPN
dem-1057	249	3	o	o	X
dem-1057	249	4	w	w	NOUN
dem-1057	249	5	a	a	DET
dem-1057	249	6	k	k	X
dem-1057	249	7	l	l	NOUN
dem-1057	249	8	u	u	NOUN
dem-1057	250	1	c	c	NOUN
dem-1057	250	2	z	z	NOUN
dem-1057	250	3	o	o	X
dem-1057	250	4	w	w	PROPN
dem-1057	251	1	e	e	NOUN
dem-1057	251	2	:	:	PUNCT
dem-1057	251	3	przestrzenny	przestrzenny	ADJ
dem-1057	251	4	i	i	PRON
dem-1057	251	5	przestrzenno	przestrzenno	NOUN
dem-1057	251	6	-	-	PUNCT
dem-1057	251	7	czasowy	czasowy	ADJ
dem-1057	251	8	model	model	NOUN
dem-1057	251	9	quasi	quasi	PROPN
dem-1057	251	10	-	-	PROPN
dem-1057	251	11	zgodny	zgodny	ADJ
dem-1057	251	12	,	,	PUNCT
dem-1057	251	13	autozależności	autozależności	NOUN
dem-1057	251	14	,	,	PUNCT
dem-1057	251	15	macierz	macierz	NOUN
dem-1057	251	16	sąsiedztwa	sąsiedztwa	NOUN
dem-1057	251	17	,	,	PUNCT
dem-1057	251	18	odległość	odległość	NOUN
dem-1057	251	19	ekonomiczna	ekonomiczna	PROPN
dem-1057	251	20	.	.	PUNCT