id	sid	tid	token	lemma	pos
abr-132	1	1	microsoft	microsoft	PROPN
abr-132	1	2	word	word	NOUN
abr-132	1	3	132-copyedit-final.docx	132-copyedit-final.docx	NUM
abr-132	1	4	http://journals.sfu.ca/abr	http://journals.sfu.ca/abr	ADJ
abr-132	1	5	advances	advance	NOUN
abr-132	1	6	in	in	ADP
abr-132	1	7	business	business	NOUN
abr-132	1	8	research	research	NOUN
abr-132	1	9	2016	2016	NUM
abr-132	1	10	,	,	PUNCT
abr-132	1	11	volume	volume	NOUN
abr-132	1	12	7	7	NUM
abr-132	1	13	,	,	PUNCT
abr-132	1	14	pages	page	NOUN
abr-132	1	15	51	51	NUM
abr-132	1	16	-	-	SYM
abr-132	1	17	65	65	NUM
abr-132	1	18	51	51	NUM
abr-132	1	19	evaluating	evaluate	VERB
abr-132	1	20	the	the	DET
abr-132	1	21	role	role	NOUN
abr-132	1	22	of	of	ADP
abr-132	1	23	income	income	NOUN
abr-132	1	24	in	in	ADP
abr-132	1	25	national	national	ADJ
abr-132	1	26	software	software	NOUN
abr-132	1	27	piracy	piracy	NOUN
abr-132	1	28	eric	eric	PROPN
abr-132	1	29	kyper	kyper	PROPN
abr-132	1	30	lynchburg	lynchburg	PROPN
abr-132	1	31	college	college	PROPN
abr-132	1	32	gerald	gerald	PROPN
abr-132	1	33	prante	prante	PROPN
abr-132	1	34	lynchburg	lynchburg	PROPN
abr-132	1	35	college	college	PROPN
abr-132	1	36	lee	lee	PROPN
abr-132	1	37	schimmoeller	schimmoeller	PROPN
abr-132	1	38	lynchburg	lynchburg	PROPN
abr-132	1	39	college	college	PROPN
abr-132	1	40	this	this	DET
abr-132	1	41	study	study	NOUN
abr-132	1	42	investigates	investigate	VERB
abr-132	1	43	the	the	DET
abr-132	1	44	proper	proper	ADJ
abr-132	1	45	role	role	NOUN
abr-132	1	46	of	of	ADP
abr-132	1	47	income	income	NOUN
abr-132	1	48	in	in	ADP
abr-132	1	49	predicting	predict	VERB
abr-132	1	50	national	national	ADJ
abr-132	1	51	software	software	NOUN
abr-132	1	52	piracy	piracy	NOUN
abr-132	1	53	rates	rate	NOUN
abr-132	1	54	.	.	PUNCT
abr-132	2	1	we	we	PRON
abr-132	2	2	run	run	VERB
abr-132	2	3	regressions	regression	NOUN
abr-132	2	4	isolating	isolate	VERB
abr-132	2	5	various	various	ADJ
abr-132	2	6	measures	measure	NOUN
abr-132	2	7	of	of	ADP
abr-132	2	8	income	income	NOUN
abr-132	2	9	,	,	PUNCT
abr-132	2	10	including	include	VERB
abr-132	2	11	gdp	gdp	NOUN
abr-132	2	12	per	per	ADP
abr-132	2	13	capita	capita	NOUN
abr-132	2	14	and	and	CCONJ
abr-132	2	15	median	median	ADJ
abr-132	2	16	household	household	NOUN
abr-132	2	17	income	income	NOUN
abr-132	2	18	and	and	CCONJ
abr-132	2	19	variations	variation	NOUN
abr-132	2	20	thereof	thereof	ADV
abr-132	2	21	,	,	PUNCT
abr-132	2	22	to	to	PART
abr-132	2	23	predict	predict	VERB
abr-132	2	24	national	national	ADJ
abr-132	2	25	software	software	NOUN
abr-132	2	26	piracy	piracy	NOUN
abr-132	2	27	rates	rate	NOUN
abr-132	2	28	.	.	PUNCT
abr-132	3	1	then	then	ADV
abr-132	3	2	we	we	PRON
abr-132	3	3	also	also	ADV
abr-132	3	4	run	run	VERB
abr-132	3	5	multivariate	multivariate	NOUN
abr-132	3	6	regressions	regression	NOUN
abr-132	3	7	incorporating	incorporate	VERB
abr-132	3	8	gdp	gdp	NOUN
abr-132	3	9	and	and	CCONJ
abr-132	3	10	other	other	ADJ
abr-132	3	11	non	non	ADJ
abr-132	3	12	-	-	ADJ
abr-132	3	13	income	income	ADJ
abr-132	3	14	predictors	predictor	NOUN
abr-132	3	15	such	such	ADJ
abr-132	3	16	as	as	ADP
abr-132	3	17	corruption	corruption	NOUN
abr-132	3	18	in	in	ADP
abr-132	3	19	a	a	DET
abr-132	3	20	manner	manner	NOUN
abr-132	3	21	consistent	consistent	ADJ
abr-132	3	22	with	with	ADP
abr-132	3	23	previous	previous	ADJ
abr-132	3	24	studies	study	NOUN
abr-132	3	25	.	.	PUNCT
abr-132	4	1	this	this	DET
abr-132	4	2	topic	topic	NOUN
abr-132	4	3	is	be	AUX
abr-132	4	4	of	of	ADP
abr-132	4	5	importance	importance	NOUN
abr-132	4	6	due	due	ADP
abr-132	4	7	to	to	ADP
abr-132	4	8	the	the	DET
abr-132	4	9	multi	multi	ADJ
abr-132	4	10	-	-	ADJ
abr-132	4	11	billion	billion	NUM
abr-132	4	12	dollar	dollar	NOUN
abr-132	4	13	losses	loss	NOUN
abr-132	4	14	incurred	incur	VERB
abr-132	4	15	globally	globally	ADV
abr-132	4	16	each	each	DET
abr-132	4	17	year	year	NOUN
abr-132	4	18	due	due	ADP
abr-132	4	19	to	to	ADP
abr-132	4	20	pirating	pirate	VERB
abr-132	4	21	.	.	PUNCT
abr-132	5	1	the	the	DET
abr-132	5	2	results	result	NOUN
abr-132	5	3	show	show	VERB
abr-132	5	4	that	that	SCONJ
abr-132	5	5	a	a	DET
abr-132	5	6	square	square	ADJ
abr-132	5	7	root	root	NOUN
abr-132	5	8	version	version	NOUN
abr-132	5	9	of	of	ADP
abr-132	5	10	median	median	ADJ
abr-132	5	11	household	household	NOUN
abr-132	5	12	income	income	NOUN
abr-132	5	13	is	be	AUX
abr-132	5	14	the	the	DET
abr-132	5	15	best	good	ADJ
abr-132	5	16	measure	measure	NOUN
abr-132	5	17	of	of	ADP
abr-132	5	18	national	national	ADJ
abr-132	5	19	income	income	NOUN
abr-132	5	20	and	and	CCONJ
abr-132	5	21	consistent	consistent	ADJ
abr-132	5	22	with	with	ADP
abr-132	5	23	what	what	PRON
abr-132	5	24	economic	economic	ADJ
abr-132	5	25	theory	theory	NOUN
abr-132	5	26	predicts	predict	VERB
abr-132	5	27	.	.	PUNCT
abr-132	6	1	keywords	keyword	NOUN
abr-132	6	2	:	:	PUNCT
abr-132	6	3	software	software	NOUN
abr-132	6	4	piracy	piracy	NOUN
abr-132	6	5	;	;	PUNCT
abr-132	6	6	income	income	NOUN
abr-132	6	7	;	;	PUNCT
abr-132	6	8	culture	culture	NOUN
abr-132	6	9	introduction	introduction	NOUN
abr-132	6	10	software	software	NOUN
abr-132	6	11	piracy	piracy	NOUN
abr-132	6	12	is	be	AUX
abr-132	6	13	a	a	DET
abr-132	6	14	well	well	ADV
abr-132	6	15	-	-	PUNCT
abr-132	6	16	studied	study	VERB
abr-132	6	17	topic	topic	NOUN
abr-132	6	18	with	with	ADP
abr-132	6	19	global	global	ADJ
abr-132	6	20	losses	loss	NOUN
abr-132	6	21	in	in	ADP
abr-132	6	22	excess	excess	NOUN
abr-132	6	23	of	of	ADP
abr-132	6	24	$	$	SYM
abr-132	6	25	62	62	NUM
abr-132	6	26	billion	billion	NUM
abr-132	6	27	(	(	PUNCT
abr-132	6	28	bsa	bsa	PROPN
abr-132	6	29	,	,	PUNCT
abr-132	6	30	2014	2014	NUM
abr-132	6	31	)	)	PUNCT
abr-132	6	32	.	.	PUNCT
abr-132	7	1	however	however	ADV
abr-132	7	2	,	,	PUNCT
abr-132	7	3	the	the	DET
abr-132	7	4	determinants	determinant	NOUN
abr-132	7	5	of	of	ADP
abr-132	7	6	software	software	NOUN
abr-132	7	7	piracy	piracy	NOUN
abr-132	7	8	vary	vary	VERB
abr-132	7	9	from	from	ADP
abr-132	7	10	study	study	NOUN
abr-132	7	11	to	to	PART
abr-132	7	12	study	study	VERB
abr-132	7	13	.	.	PUNCT
abr-132	8	1	one	one	NUM
abr-132	8	2	variable	variable	NOUN
abr-132	8	3	in	in	ADP
abr-132	8	4	common	common	ADJ
abr-132	8	5	is	be	AUX
abr-132	8	6	some	some	DET
abr-132	8	7	measure	measure	NOUN
abr-132	8	8	of	of	ADP
abr-132	8	9	national	national	ADJ
abr-132	8	10	income	income	NOUN
abr-132	8	11	,	,	PUNCT
abr-132	8	12	typically	typically	ADV
abr-132	8	13	gdp	gdp	NOUN
abr-132	8	14	per	per	ADP
abr-132	8	15	capita	capita	NOUN
abr-132	8	16	.	.	PUNCT
abr-132	9	1	economic	economic	ADJ
abr-132	9	2	theory	theory	NOUN
abr-132	9	3	dictates	dictate	VERB
abr-132	9	4	that	that	SCONJ
abr-132	9	5	,	,	PUNCT
abr-132	9	6	ceteris	ceteris	NOUN
abr-132	9	7	paribus	paribus	NOUN
abr-132	9	8	,	,	PUNCT
abr-132	9	9	higher	high	ADJ
abr-132	9	10	income	income	NOUN
abr-132	9	11	leads	lead	VERB
abr-132	9	12	to	to	ADP
abr-132	9	13	more	more	ADV
abr-132	9	14	discretionary	discretionary	ADJ
abr-132	9	15	spending	spending	NOUN
abr-132	9	16	.	.	PUNCT
abr-132	10	1	following	follow	VERB
abr-132	10	2	that	that	DET
abr-132	10	3	lead	lead	NOUN
abr-132	10	4	we	we	PRON
abr-132	10	5	conclude	conclude	VERB
abr-132	10	6	that	that	SCONJ
abr-132	10	7	wealthier	wealthy	ADJ
abr-132	10	8	nations	nation	NOUN
abr-132	10	9	should	should	AUX
abr-132	10	10	have	have	VERB
abr-132	10	11	lower	low	ADJ
abr-132	10	12	national	national	ADJ
abr-132	10	13	software	software	NOUN
abr-132	10	14	piracy	piracy	NOUN
abr-132	10	15	rates	rate	NOUN
abr-132	10	16	.	.	PUNCT
abr-132	11	1	indeed	indeed	ADV
abr-132	11	2	this	this	PRON
abr-132	11	3	is	be	AUX
abr-132	11	4	generally	generally	ADV
abr-132	11	5	true	true	ADJ
abr-132	11	6	,	,	PUNCT
abr-132	11	7	but	but	CCONJ
abr-132	11	8	does	do	AUX
abr-132	11	9	not	not	PART
abr-132	11	10	eliminate	eliminate	VERB
abr-132	11	11	variation	variation	NOUN
abr-132	11	12	in	in	ADP
abr-132	11	13	software	software	NOUN
abr-132	11	14	piracy	piracy	NOUN
abr-132	11	15	rates	rate	NOUN
abr-132	11	16	among	among	ADP
abr-132	11	17	wealthy	wealthy	ADJ
abr-132	11	18	nations	nation	NOUN
abr-132	11	19	.	.	PUNCT
abr-132	12	1	the	the	DET
abr-132	12	2	proper	proper	ADJ
abr-132	12	3	role	role	NOUN
abr-132	12	4	of	of	ADP
abr-132	12	5	income	income	NOUN
abr-132	12	6	is	be	AUX
abr-132	12	7	of	of	ADP
abr-132	12	8	importance	importance	NOUN
abr-132	12	9	because	because	SCONJ
abr-132	12	10	virtually	virtually	ADV
abr-132	12	11	every	every	DET
abr-132	12	12	study	study	NOUN
abr-132	12	13	regarding	regard	VERB
abr-132	12	14	national	national	ADJ
abr-132	12	15	piracy	piracy	NOUN
abr-132	12	16	includes	include	VERB
abr-132	12	17	income	income	NOUN
abr-132	12	18	,	,	PUNCT
abr-132	12	19	and	and	CCONJ
abr-132	12	20	only	only	ADV
abr-132	12	21	a	a	DET
abr-132	12	22	nuanced	nuanced	ADJ
abr-132	12	23	understanding	understanding	NOUN
abr-132	12	24	of	of	ADP
abr-132	12	25	income	income	NOUN
abr-132	12	26	will	will	AUX
abr-132	12	27	flush	flush	VERB
abr-132	12	28	out	out	ADP
abr-132	12	29	real	real	ADJ
abr-132	12	30	differences	difference	NOUN
abr-132	12	31	between	between	ADP
abr-132	12	32	countries	country	NOUN
abr-132	12	33	with	with	ADP
abr-132	12	34	similar	similar	ADJ
abr-132	12	35	incomes	income	NOUN
abr-132	12	36	.	.	PUNCT
abr-132	13	1	previous	previous	ADJ
abr-132	13	2	studies	study	NOUN
abr-132	13	3	report	report	VERB
abr-132	13	4	conflicting	conflicting	ADJ
abr-132	13	5	results	result	NOUN
abr-132	13	6	regarding	regard	VERB
abr-132	13	7	income	income	NOUN
abr-132	13	8	.	.	PUNCT
abr-132	14	1	for	for	ADP
abr-132	14	2	example	example	NOUN
abr-132	14	3	,	,	PUNCT
abr-132	14	4	the	the	DET
abr-132	14	5	statistical	statistical	ADJ
abr-132	14	6	significance	significance	NOUN
abr-132	14	7	of	of	ADP
abr-132	14	8	gdp	gdp	NOUN
abr-132	14	9	varies	vary	VERB
abr-132	14	10	across	across	ADP
abr-132	14	11	studies	study	NOUN
abr-132	14	12	and	and	CCONJ
abr-132	14	13	year	year	NOUN
abr-132	14	14	of	of	ADP
abr-132	14	15	study	study	NOUN
abr-132	14	16	.	.	PUNCT
abr-132	15	1	gdp	gdp	NOUN
abr-132	15	2	is	be	AUX
abr-132	15	3	also	also	ADV
abr-132	15	4	sometimes	sometimes	ADV
abr-132	15	5	used	use	VERB
abr-132	15	6	as	as	ADP
abr-132	15	7	a	a	DET
abr-132	15	8	proxy	proxy	NOUN
abr-132	15	9	for	for	ADP
abr-132	15	10	other	other	ADJ
abr-132	15	11	data	datum	NOUN
abr-132	15	12	such	such	ADJ
abr-132	15	13	as	as	ADP
abr-132	15	14	number	number	NOUN
abr-132	15	15	of	of	ADP
abr-132	15	16	internet	internet	NOUN
abr-132	15	17	users	user	NOUN
abr-132	15	18	.	.	PUNCT
abr-132	16	1	this	this	DET
abr-132	16	2	study	study	NOUN
abr-132	16	3	makes	make	VERB
abr-132	16	4	an	an	DET
abr-132	16	5	important	important	ADJ
abr-132	16	6	contribution	contribution	NOUN
abr-132	16	7	to	to	ADP
abr-132	16	8	current	current	ADJ
abr-132	16	9	literature	literature	NOUN
abr-132	16	10	by	by	ADP
abr-132	16	11	elucidating	elucidate	VERB
abr-132	16	12	the	the	DET
abr-132	16	13	role	role	NOUN
abr-132	16	14	of	of	ADP
abr-132	16	15	gdp	gdp	NOUN
abr-132	16	16	.	.	PUNCT
abr-132	17	1	we	we	PRON
abr-132	17	2	clarify	clarify	VERB
abr-132	17	3	that	that	SCONJ
abr-132	17	4	gdp	gdp	NOUN
abr-132	17	5	is	be	AUX
abr-132	17	6	typically	typically	ADV
abr-132	17	7	only	only	ADV
abr-132	17	8	significant	significant	ADJ
abr-132	17	9	in	in	ADP
abr-132	17	10	studies	study	NOUN
abr-132	17	11	where	where	SCONJ
abr-132	17	12	more	more	ADJ
abr-132	17	13	illuminating	illuminating	ADJ
abr-132	17	14	variables	variable	NOUN
abr-132	17	15	are	be	AUX
abr-132	17	16	not	not	PART
abr-132	17	17	included	include	VERB
abr-132	17	18	.	.	PUNCT
abr-132	18	1	this	this	PRON
abr-132	18	2	amounts	amount	VERB
abr-132	18	3	to	to	ADP
abr-132	18	4	gdp	gdp	NOUN
abr-132	18	5	being	be	AUX
abr-132	18	6	used	use	VERB
abr-132	18	7	as	as	ADP
abr-132	18	8	a	a	DET
abr-132	18	9	variable	variable	NOUN
abr-132	18	10	of	of	ADP
abr-132	18	11	convenience	convenience	NOUN
abr-132	18	12	.	.	PUNCT
abr-132	19	1	while	while	SCONJ
abr-132	19	2	informative	informative	ADJ
abr-132	19	3	,	,	PUNCT
abr-132	19	4	if	if	SCONJ
abr-132	19	5	gdp	gdp	NOUN
abr-132	19	6	is	be	AUX
abr-132	19	7	being	be	AUX
abr-132	19	8	used	use	VERB
abr-132	19	9	as	as	ADP
abr-132	19	10	a	a	DET
abr-132	19	11	proxy	proxy	NOUN
abr-132	19	12	for	for	ADP
abr-132	19	13	better	well	ADJ
abr-132	19	14	variables	variable	NOUN
abr-132	19	15	,	,	PUNCT
abr-132	19	16	we	we	PRON
abr-132	19	17	should	should	AUX
abr-132	19	18	recognize	recognize	VERB
abr-132	19	19	this	this	PRON
abr-132	19	20	and	and	CCONJ
abr-132	19	21	work	work	VERB
abr-132	19	22	towards	towards	ADP
abr-132	19	23	analyzing	analyze	VERB
abr-132	19	24	those	those	DET
abr-132	19	25	variables	variable	NOUN
abr-132	19	26	.	.	PUNCT
abr-132	20	1	from	from	ADP
abr-132	20	2	this	this	PRON
abr-132	20	3	,	,	PUNCT
abr-132	20	4	we	we	PRON
abr-132	20	5	also	also	ADV
abr-132	20	6	ask	ask	VERB
abr-132	20	7	the	the	DET
abr-132	20	8	question	question	NOUN
abr-132	20	9	whether	whether	SCONJ
abr-132	20	10	or	or	CCONJ
abr-132	20	11	not	not	PART
abr-132	20	12	a	a	DET
abr-132	20	13	different	different	ADJ
abr-132	20	14	income	income	NOUN
abr-132	20	15	measure	measure	NOUN
abr-132	20	16	is	be	AUX
abr-132	20	17	superior	superior	ADJ
abr-132	20	18	to	to	ADP
abr-132	20	19	gdp	gdp	NOUN
abr-132	20	20	per	per	ADP
abr-132	20	21	capita	capita	NOUN
abr-132	20	22	in	in	ADP
abr-132	20	23	predicting	predict	VERB
abr-132	20	24	software	software	NOUN
abr-132	20	25	piracy	piracy	NOUN
abr-132	20	26	.	.	PUNCT
abr-132	21	1	income	income	NOUN
abr-132	21	2	and	and	CCONJ
abr-132	21	3	national	national	ADJ
abr-132	21	4	software	software	NOUN
abr-132	21	5	piracy	piracy	NOUN
abr-132	21	6	52	52	NUM
abr-132	21	7	in	in	ADP
abr-132	21	8	addition	addition	NOUN
abr-132	21	9	,	,	PUNCT
abr-132	21	10	a	a	DET
abr-132	21	11	number	number	NOUN
abr-132	21	12	of	of	ADP
abr-132	21	13	variables	variable	NOUN
abr-132	21	14	beyond	beyond	ADP
abr-132	21	15	income	income	NOUN
abr-132	21	16	have	have	AUX
abr-132	21	17	been	be	AUX
abr-132	21	18	found	find	VERB
abr-132	21	19	to	to	PART
abr-132	21	20	influence	influence	NOUN
abr-132	21	21	piracy	piracy	NOUN
abr-132	21	22	.	.	PUNCT
abr-132	22	1	these	these	PRON
abr-132	22	2	include	include	VERB
abr-132	22	3	culture	culture	NOUN
abr-132	22	4	and	and	CCONJ
abr-132	22	5	intellectual	intellectual	ADJ
abr-132	22	6	property	property	NOUN
abr-132	22	7	protection	protection	NOUN
abr-132	22	8	.	.	PUNCT
abr-132	23	1	this	this	DET
abr-132	23	2	study	study	NOUN
abr-132	23	3	aims	aim	VERB
abr-132	23	4	to	to	PART
abr-132	23	5	determine	determine	VERB
abr-132	23	6	the	the	DET
abr-132	23	7	exact	exact	ADJ
abr-132	23	8	role	role	NOUN
abr-132	23	9	gdp	gdp	NOUN
abr-132	23	10	plays	play	VERB
abr-132	23	11	in	in	ADP
abr-132	23	12	determining	determine	VERB
abr-132	23	13	national	national	ADJ
abr-132	23	14	software	software	NOUN
abr-132	23	15	piracy	piracy	NOUN
abr-132	23	16	rates	rate	NOUN
abr-132	23	17	first	first	ADV
abr-132	23	18	in	in	ADP
abr-132	23	19	isolation	isolation	NOUN
abr-132	23	20	,	,	PUNCT
abr-132	23	21	then	then	ADV
abr-132	23	22	in	in	ADP
abr-132	23	23	concert	concert	NOUN
abr-132	23	24	with	with	ADP
abr-132	23	25	non	non	ADJ
abr-132	23	26	-	-	ADJ
abr-132	23	27	income	income	ADJ
abr-132	23	28	variables	variable	NOUN
abr-132	23	29	.	.	PUNCT
abr-132	24	1	literature	literature	NOUN
abr-132	24	2	review	review	PROPN
abr-132	24	3	software	software	NOUN
abr-132	24	4	piracy	piracy	NOUN
abr-132	24	5	is	be	AUX
abr-132	24	6	a	a	DET
abr-132	24	7	huge	huge	ADJ
abr-132	24	8	and	and	CCONJ
abr-132	24	9	growing	grow	VERB
abr-132	24	10	issue	issue	NOUN
abr-132	24	11	in	in	ADP
abr-132	24	12	the	the	DET
abr-132	24	13	global	global	ADJ
abr-132	24	14	economy	economy	NOUN
abr-132	24	15	.	.	PUNCT
abr-132	25	1	the	the	DET
abr-132	25	2	bsa	bsa	PROPN
abr-132	25	3	software	software	PROPN
abr-132	25	4	alliance	alliance	PROPN
abr-132	25	5	survey	survey	NOUN
abr-132	25	6	in	in	ADP
abr-132	25	7	2013	2013	NUM
abr-132	25	8	estimated	estimate	VERB
abr-132	25	9	the	the	DET
abr-132	25	10	commercial	commercial	ADJ
abr-132	25	11	value	value	NOUN
abr-132	25	12	of	of	ADP
abr-132	25	13	unlicensed	unlicensed	ADJ
abr-132	25	14	software	software	NOUN
abr-132	25	15	totaled	total	VERB
abr-132	25	16	$	$	SYM
abr-132	25	17	62.4	62.4	NUM
abr-132	25	18	billion	billion	NUM
abr-132	25	19	globally	globally	ADV
abr-132	25	20	.	.	PUNCT
abr-132	26	1	furthermore	furthermore	ADV
abr-132	26	2	,	,	PUNCT
abr-132	26	3	the	the	DET
abr-132	26	4	global	global	ADJ
abr-132	26	5	rate	rate	NOUN
abr-132	26	6	at	at	ADP
abr-132	26	7	which	which	PRON
abr-132	26	8	software	software	NOUN
abr-132	26	9	was	be	AUX
abr-132	26	10	installed	instal	VERB
abr-132	26	11	without	without	ADP
abr-132	26	12	proper	proper	ADJ
abr-132	26	13	licensing	licensing	NOUN
abr-132	26	14	increased	increase	VERB
abr-132	26	15	from	from	ADP
abr-132	26	16	42	42	NUM
abr-132	26	17	%	%	NOUN
abr-132	26	18	in	in	ADP
abr-132	26	19	2011	2011	NUM
abr-132	26	20	to	to	ADP
abr-132	26	21	43	43	NUM
abr-132	26	22	%	%	NOUN
abr-132	26	23	in	in	ADP
abr-132	26	24	2013	2013	NUM
abr-132	26	25	(	(	PUNCT
abr-132	26	26	bsa	bsa	PROPN
abr-132	26	27	,	,	PUNCT
abr-132	26	28	2014	2014	NUM
abr-132	26	29	)	)	PUNCT
abr-132	26	30	.	.	PUNCT
abr-132	27	1	this	this	DET
abr-132	27	2	increase	increase	NOUN
abr-132	27	3	was	be	AUX
abr-132	27	4	attributed	attribute	VERB
abr-132	27	5	to	to	ADP
abr-132	27	6	the	the	DET
abr-132	27	7	growth	growth	NOUN
abr-132	27	8	in	in	ADP
abr-132	27	9	emerging	emerge	VERB
abr-132	27	10	economies	economy	NOUN
abr-132	27	11	where	where	SCONJ
abr-132	27	12	unlicensed	unlicensed	ADJ
abr-132	27	13	software	software	NOUN
abr-132	27	14	is	be	AUX
abr-132	27	15	prevalent	prevalent	ADJ
abr-132	27	16	.	.	PUNCT
abr-132	28	1	there	there	PRON
abr-132	28	2	has	have	AUX
abr-132	28	3	been	be	AUX
abr-132	28	4	a	a	DET
abr-132	28	5	large	large	ADJ
abr-132	28	6	body	body	NOUN
abr-132	28	7	of	of	ADP
abr-132	28	8	research	research	NOUN
abr-132	28	9	concerning	concern	VERB
abr-132	28	10	this	this	DET
abr-132	28	11	topic	topic	NOUN
abr-132	28	12	.	.	PUNCT
abr-132	29	1	some	some	PRON
abr-132	29	2	of	of	ADP
abr-132	29	3	the	the	DET
abr-132	29	4	earlier	early	ADJ
abr-132	29	5	studies	study	NOUN
abr-132	29	6	of	of	ADP
abr-132	29	7	national	national	ADJ
abr-132	29	8	software	software	NOUN
abr-132	29	9	piracy	piracy	NOUN
abr-132	29	10	rates	rate	NOUN
abr-132	29	11	included	include	VERB
abr-132	29	12	economic	economic	ADJ
abr-132	29	13	,	,	PUNCT
abr-132	29	14	cultural	cultural	ADJ
abr-132	29	15	,	,	PUNCT
abr-132	29	16	and	and	CCONJ
abr-132	29	17	temporal	temporal	ADJ
abr-132	29	18	variables	variable	NOUN
abr-132	29	19	.	.	PUNCT
abr-132	30	1	table	table	NOUN
abr-132	30	2	1	1	NUM
abr-132	30	3	below	below	ADP
abr-132	30	4	reviews	review	NOUN
abr-132	30	5	a	a	DET
abr-132	30	6	sample	sample	NOUN
abr-132	30	7	of	of	ADP
abr-132	30	8	studies	study	NOUN
abr-132	30	9	from	from	ADP
abr-132	30	10	1998	1998	NUM
abr-132	30	11	to	to	ADP
abr-132	30	12	2014	2014	NUM
abr-132	30	13	,	,	PUNCT
abr-132	30	14	summarizes	summarize	VERB
abr-132	30	15	the	the	DET
abr-132	30	16	findings	finding	NOUN
abr-132	30	17	and	and	CCONJ
abr-132	30	18	identifies	identify	VERB
abr-132	30	19	the	the	DET
abr-132	30	20	variables	variable	NOUN
abr-132	30	21	included	include	VERB
abr-132	30	22	.	.	PUNCT
abr-132	31	1	particular	particular	ADJ
abr-132	31	2	attention	attention	NOUN
abr-132	31	3	is	be	AUX
abr-132	31	4	given	give	VERB
abr-132	31	5	to	to	ADP
abr-132	31	6	gdp	gdp	NOUN
abr-132	31	7	as	as	ADP
abr-132	31	8	an	an	DET
abr-132	31	9	independent	independent	ADJ
abr-132	31	10	variable	variable	NOUN
abr-132	31	11	(	(	PUNCT
abr-132	31	12	iv	iv	NUM
abr-132	31	13	)	)	PUNCT
abr-132	31	14	.	.	PUNCT
abr-132	32	1	this	this	DET
abr-132	32	2	review	review	NOUN
abr-132	32	3	of	of	ADP
abr-132	32	4	the	the	DET
abr-132	32	5	literature	literature	NOUN
abr-132	32	6	indicates	indicate	VERB
abr-132	32	7	that	that	SCONJ
abr-132	32	8	some	some	DET
abr-132	32	9	measure	measure	NOUN
abr-132	32	10	of	of	ADP
abr-132	32	11	economic	economic	ADJ
abr-132	32	12	performance	performance	NOUN
abr-132	32	13	is	be	AUX
abr-132	32	14	the	the	DET
abr-132	32	15	most	most	ADV
abr-132	32	16	common	common	ADJ
abr-132	32	17	determinant	determinant	ADJ
abr-132	32	18	analyzed	analyze	VERB
abr-132	32	19	in	in	ADP
abr-132	32	20	the	the	DET
abr-132	32	21	research	research	NOUN
abr-132	32	22	of	of	ADP
abr-132	32	23	national	national	ADJ
abr-132	32	24	software	software	NOUN
abr-132	32	25	piracy	piracy	NOUN
abr-132	32	26	rates	rate	NOUN
abr-132	32	27	.	.	PUNCT
abr-132	33	1	often	often	ADV
abr-132	33	2	,	,	PUNCT
abr-132	33	3	this	this	DET
abr-132	33	4	economic	economic	ADJ
abr-132	33	5	indicator	indicator	NOUN
abr-132	33	6	is	be	AUX
abr-132	33	7	not	not	PART
abr-132	33	8	at	at	ADP
abr-132	33	9	the	the	DET
abr-132	33	10	country	country	NOUN
abr-132	33	11	level	level	NOUN
abr-132	33	12	(	(	PUNCT
abr-132	33	13	gdp	gdp	NOUN
abr-132	33	14	)	)	PUNCT
abr-132	33	15	but	but	CCONJ
abr-132	33	16	as	as	ADP
abr-132	33	17	some	some	DET
abr-132	33	18	type	type	NOUN
abr-132	33	19	of	of	ADP
abr-132	33	20	proxy	proxy	NOUN
abr-132	33	21	for	for	ADP
abr-132	33	22	individual	individual	ADJ
abr-132	33	23	wealth	wealth	NOUN
abr-132	33	24	.	.	PUNCT
abr-132	34	1	many	many	ADJ
abr-132	34	2	such	such	ADJ
abr-132	34	3	as	as	ADP
abr-132	34	4	goel	goel	PROPN
abr-132	34	5	and	and	CCONJ
abr-132	34	6	nelson	nelson	PROPN
abr-132	34	7	(	(	PUNCT
abr-132	34	8	2012	2012	NUM
abr-132	34	9	)	)	PUNCT
abr-132	34	10	use	use	VERB
abr-132	34	11	gdp	gdp	NOUN
abr-132	34	12	per	per	ADP
abr-132	34	13	capita	capita	NOUN
abr-132	34	14	,	,	PUNCT
abr-132	34	15	while	while	SCONJ
abr-132	34	16	other	other	ADJ
abr-132	34	17	such	such	ADJ
abr-132	34	18	as	as	ADP
abr-132	34	19	marron	marron	PROPN
abr-132	34	20	and	and	CCONJ
abr-132	34	21	steel	steel	NOUN
abr-132	34	22	,	,	PUNCT
abr-132	34	23	(	(	PUNCT
abr-132	34	24	2000	2000	NUM
abr-132	34	25	)	)	PUNCT
abr-132	34	26	use	use	NOUN
abr-132	34	27	per	per	ADP
abr-132	34	28	capita	capita	NOUN
abr-132	34	29	income	income	NOUN
abr-132	34	30	.	.	PUNCT
abr-132	35	1	a	a	DET
abr-132	35	2	full	full	ADJ
abr-132	35	3	list	list	NOUN
abr-132	35	4	of	of	ADP
abr-132	35	5	variables	variable	NOUN
abr-132	35	6	used	use	VERB
abr-132	35	7	is	be	AUX
abr-132	35	8	illustrated	illustrate	VERB
abr-132	35	9	in	in	ADP
abr-132	35	10	table	table	NOUN
abr-132	35	11	1	1	NUM
abr-132	35	12	above	above	ADV
abr-132	35	13	.	.	PUNCT
abr-132	36	1	additionally	additionally	ADV
abr-132	36	2	,	,	PUNCT
abr-132	36	3	harbi	harbi	PROPN
abr-132	36	4	,	,	PUNCT
abr-132	36	5	grolleau	grolleau	NOUN
abr-132	36	6	and	and	CCONJ
abr-132	36	7	bekir	bekir	PROPN
abr-132	36	8	(	(	PUNCT
abr-132	36	9	2012	2012	NUM
abr-132	36	10	)	)	PUNCT
abr-132	36	11	believe	believe	VERB
abr-132	36	12	there	there	PRON
abr-132	36	13	is	be	VERB
abr-132	36	14	a	a	DET
abr-132	36	15	kuznets	kuznet	NOUN
abr-132	36	16	curve	curve	NOUN
abr-132	36	17	in	in	ADP
abr-132	36	18	that	that	PRON
abr-132	36	19	as	as	SCONJ
abr-132	36	20	poor	poor	ADJ
abr-132	36	21	people	people	NOUN
abr-132	36	22	acquire	acquire	VERB
abr-132	36	23	wealth	wealth	NOUN
abr-132	36	24	and	and	CCONJ
abr-132	36	25	then	then	ADV
abr-132	36	26	technology	technology	NOUN
abr-132	36	27	,	,	PUNCT
abr-132	36	28	the	the	DET
abr-132	36	29	piracy	piracy	NOUN
abr-132	36	30	rates	rate	NOUN
abr-132	36	31	increase	increase	VERB
abr-132	36	32	until	until	SCONJ
abr-132	36	33	the	the	DET
abr-132	36	34	wealth	wealth	NOUN
abr-132	36	35	is	be	AUX
abr-132	36	36	at	at	ADP
abr-132	36	37	a	a	DET
abr-132	36	38	level	level	NOUN
abr-132	36	39	where	where	SCONJ
abr-132	36	40	piracy	piracy	NOUN
abr-132	36	41	rates	rate	NOUN
abr-132	36	42	begin	begin	VERB
abr-132	36	43	to	to	PART
abr-132	36	44	decrease	decrease	VERB
abr-132	36	45	.	.	PUNCT
abr-132	37	1	all	all	PRON
abr-132	37	2	of	of	ADP
abr-132	37	3	these	these	DET
abr-132	37	4	nine	nine	NUM
abr-132	37	5	studies	study	NOUN
abr-132	37	6	used	use	VERB
abr-132	37	7	some	some	DET
abr-132	37	8	type	type	NOUN
abr-132	37	9	of	of	ADP
abr-132	37	10	economic	economic	ADJ
abr-132	37	11	indicator	indicator	NOUN
abr-132	37	12	of	of	ADP
abr-132	37	13	either	either	DET
abr-132	37	14	country	country	NOUN
abr-132	37	15	or	or	CCONJ
abr-132	37	16	personal	personal	ADJ
abr-132	37	17	wealth	wealth	NOUN
abr-132	37	18	,	,	PUNCT
abr-132	37	19	suggesting	suggest	VERB
abr-132	37	20	that	that	SCONJ
abr-132	37	21	income	income	NOUN
abr-132	37	22	is	be	AUX
abr-132	37	23	a	a	DET
abr-132	37	24	critical	critical	ADJ
abr-132	37	25	factor	factor	NOUN
abr-132	37	26	.	.	PUNCT
abr-132	38	1	in	in	ADP
abr-132	38	2	addition	addition	NOUN
abr-132	38	3	to	to	ADP
abr-132	38	4	income	income	NOUN
abr-132	38	5	,	,	PUNCT
abr-132	38	6	many	many	ADJ
abr-132	38	7	of	of	ADP
abr-132	38	8	the	the	DET
abr-132	38	9	previous	previous	ADJ
abr-132	38	10	studies	study	NOUN
abr-132	38	11	incorporate	incorporate	VERB
abr-132	38	12	cultural	cultural	ADJ
abr-132	38	13	factors	factor	NOUN
abr-132	38	14	in	in	ADP
abr-132	38	15	their	their	PRON
abr-132	38	16	models	model	NOUN
abr-132	38	17	.	.	PUNCT
abr-132	39	1	hofstede	hofstede	NOUN
abr-132	39	2	’s	’s	PART
abr-132	39	3	(	(	PUNCT
abr-132	39	4	1980	1980	NUM
abr-132	39	5	)	)	PUNCT
abr-132	39	6	cultural	cultural	ADJ
abr-132	39	7	model	model	NOUN
abr-132	39	8	is	be	AUX
abr-132	39	9	the	the	DET
abr-132	39	10	most	most	ADV
abr-132	39	11	frequently	frequently	ADV
abr-132	39	12	referenced	reference	VERB
abr-132	39	13	framework	framework	NOUN
abr-132	39	14	for	for	ADP
abr-132	39	15	describing	describe	VERB
abr-132	39	16	national	national	ADJ
abr-132	39	17	cultural	cultural	ADJ
abr-132	39	18	differences	difference	NOUN
abr-132	39	19	.	.	PUNCT
abr-132	40	1	these	these	DET
abr-132	40	2	five	five	NUM
abr-132	40	3	dimensions	dimension	NOUN
abr-132	40	4	attempt	attempt	VERB
abr-132	40	5	to	to	PART
abr-132	40	6	quantify	quantify	VERB
abr-132	40	7	the	the	DET
abr-132	40	8	key	key	ADJ
abr-132	40	9	factors	factor	NOUN
abr-132	40	10	that	that	PRON
abr-132	40	11	determine	determine	VERB
abr-132	40	12	a	a	DET
abr-132	40	13	country	country	NOUN
abr-132	40	14	’s	’s	PART
abr-132	40	15	specific	specific	ADJ
abr-132	40	16	national	national	ADJ
abr-132	40	17	culture	culture	NOUN
abr-132	40	18	and	and	CCONJ
abr-132	40	19	include	include	VERB
abr-132	40	20	power	power	NOUN
abr-132	40	21	distance	distance	NOUN
abr-132	40	22	,	,	PUNCT
abr-132	40	23	individualism	individualism	NOUN
abr-132	40	24	,	,	PUNCT
abr-132	40	25	masculinity	masculinity	NOUN
abr-132	40	26	,	,	PUNCT
abr-132	40	27	uncertainty	uncertainty	NOUN
abr-132	40	28	avoidance	avoidance	NOUN
abr-132	40	29	,	,	PUNCT
abr-132	40	30	and	and	CCONJ
abr-132	40	31	long	long	ADJ
abr-132	40	32	term	term	NOUN
abr-132	40	33	orientation	orientation	NOUN
abr-132	40	34	.	.	PUNCT
abr-132	41	1	much	much	ADJ
abr-132	41	2	of	of	ADP
abr-132	41	3	this	this	DET
abr-132	41	4	research	research	NOUN
abr-132	41	5	(	(	PUNCT
abr-132	41	6	4	4	NUM
abr-132	41	7	of	of	ADP
abr-132	41	8	9	9	NUM
abr-132	41	9	)	)	PUNCT
abr-132	41	10	focused	focus	VERB
abr-132	41	11	on	on	ADP
abr-132	41	12	individualism	individualism	NOUN
abr-132	41	13	versus	versus	ADP
abr-132	41	14	collectivism	collectivism	NOUN
abr-132	41	15	and	and	CCONJ
abr-132	41	16	often	often	ADV
abr-132	41	17	found	find	VERB
abr-132	41	18	individualism	individualism	NOUN
abr-132	41	19	to	to	PART
abr-132	41	20	be	be	AUX
abr-132	41	21	a	a	DET
abr-132	41	22	statistically	statistically	ADV
abr-132	41	23	significant	significant	ADJ
abr-132	41	24	predictor	predictor	NOUN
abr-132	41	25	of	of	ADP
abr-132	41	26	national	national	ADJ
abr-132	41	27	software	software	NOUN
abr-132	41	28	piracy	piracy	NOUN
abr-132	41	29	.	.	PUNCT
abr-132	42	1	to	to	PART
abr-132	42	2	clarify	clarify	VERB
abr-132	42	3	,	,	PUNCT
abr-132	42	4	hofstede	hofstede	NOUN
abr-132	42	5	defines	define	VERB
abr-132	42	6	individualism	individualism	NOUN
abr-132	42	7	as	as	ADP
abr-132	42	8	a	a	DET
abr-132	42	9	preference	preference	NOUN
abr-132	42	10	for	for	ADP
abr-132	42	11	a	a	DET
abr-132	42	12	loosely	loosely	ADV
abr-132	42	13	knit	knit	VERB
abr-132	42	14	social	social	ADJ
abr-132	42	15	framework	framework	NOUN
abr-132	42	16	in	in	ADP
abr-132	42	17	which	which	PRON
abr-132	42	18	individuals	individual	NOUN
abr-132	42	19	take	take	VERB
abr-132	42	20	care	care	NOUN
abr-132	42	21	of	of	ADP
abr-132	42	22	themselves	themselves	PRON
abr-132	42	23	and	and	CCONJ
abr-132	42	24	their	their	PRON
abr-132	42	25	immediate	immediate	ADJ
abr-132	42	26	families	family	NOUN
abr-132	42	27	only	only	ADV
abr-132	42	28	;	;	PUNCT
abr-132	42	29	they	they	PRON
abr-132	42	30	are	be	AUX
abr-132	42	31	not	not	PART
abr-132	42	32	much	much	ADV
abr-132	42	33	concerned	concerned	ADJ
abr-132	42	34	with	with	ADP
abr-132	42	35	the	the	DET
abr-132	42	36	greater	great	ADJ
abr-132	42	37	society	society	NOUN
abr-132	42	38	.	.	PUNCT
abr-132	43	1	collectivism	collectivism	NOUN
abr-132	43	2	is	be	AUX
abr-132	43	3	a	a	DET
abr-132	43	4	preference	preference	NOUN
abr-132	43	5	for	for	ADP
abr-132	43	6	a	a	DET
abr-132	43	7	closely	closely	ADV
abr-132	43	8	knit	knit	VERB
abr-132	43	9	social	social	ADJ
abr-132	43	10	framework	framework	NOUN
abr-132	43	11	in	in	ADP
abr-132	43	12	which	which	PRON
abr-132	43	13	individuals	individual	NOUN
abr-132	43	14	are	be	AUX
abr-132	43	15	emotionally	emotionally	ADV
abr-132	43	16	integrated	integrate	VERB
abr-132	43	17	into	into	ADP
abr-132	43	18	an	an	DET
abr-132	43	19	extended	extended	ADJ
abr-132	43	20	family	family	NOUN
abr-132	43	21	,	,	PUNCT
abr-132	43	22	clan	clan	NOUN
abr-132	43	23	or	or	CCONJ
abr-132	43	24	other	other	ADJ
abr-132	43	25	group	group	NOUN
abr-132	43	26	which	which	PRON
abr-132	43	27	will	will	AUX
abr-132	43	28	protect	protect	VERB
abr-132	43	29	them	they	PRON
abr-132	43	30	in	in	ADP
abr-132	43	31	exchange	exchange	NOUN
abr-132	43	32	for	for	ADP
abr-132	43	33	loyalty	loyalty	NOUN
abr-132	43	34	.	.	PUNCT
abr-132	44	1	analysis	analysis	NOUN
abr-132	44	2	has	have	AUX
abr-132	44	3	shown	show	VERB
abr-132	44	4	that	that	SCONJ
abr-132	44	5	members	member	NOUN
abr-132	44	6	of	of	ADP
abr-132	44	7	a	a	DET
abr-132	44	8	collective	collective	NOUN
abr-132	44	9	,	,	PUNCT
abr-132	44	10	while	while	SCONJ
abr-132	44	11	extremely	extremely	ADV
abr-132	44	12	loyal	loyal	ADJ
abr-132	44	13	to	to	ADP
abr-132	44	14	the	the	DET
abr-132	44	15	collective	collective	NOUN
abr-132	44	16	,	,	PUNCT
abr-132	44	17	are	be	AUX
abr-132	44	18	less	less	ADV
abr-132	44	19	likely	likely	ADJ
abr-132	44	20	to	to	PART
abr-132	44	21	be	be	AUX
abr-132	44	22	concerned	concern	VERB
abr-132	44	23	about	about	ADP
abr-132	44	24	others	other	NOUN
abr-132	44	25	outside	outside	ADP
abr-132	44	26	the	the	DET
abr-132	44	27	collective	collective	NOUN
abr-132	44	28	,	,	PUNCT
abr-132	44	29	this	this	PRON
abr-132	44	30	includes	include	VERB
abr-132	44	31	being	be	AUX
abr-132	44	32	more	more	ADV
abr-132	44	33	likely	likely	ADJ
abr-132	44	34	to	to	PART
abr-132	44	35	copy	copy	VERB
abr-132	44	36	software	software	NOUN
abr-132	44	37	from	from	ADP
abr-132	44	38	others	other	NOUN
abr-132	44	39	outside	outside	ADP
abr-132	44	40	their	their	PRON
abr-132	44	41	collective	collective	NOUN
abr-132	44	42	.	.	PUNCT
abr-132	45	1	a	a	DET
abr-132	45	2	collective	collective	NOUN
abr-132	45	3	is	be	AUX
abr-132	45	4	associated	associate	VERB
abr-132	45	5	with	with	ADP
abr-132	45	6	a	a	DET
abr-132	45	7	nation	nation	NOUN
abr-132	45	8	in	in	ADP
abr-132	45	9	this	this	DET
abr-132	45	10	study	study	NOUN
abr-132	45	11	.	.	PUNCT
abr-132	46	1	collectivism	collectivism	NOUN
abr-132	46	2	data	datum	NOUN
abr-132	46	3	is	be	AUX
abr-132	46	4	included	include	VERB
abr-132	46	5	in	in	ADP
abr-132	46	6	the	the	DET
abr-132	46	7	study	study	NOUN
abr-132	46	8	.	.	PUNCT
abr-132	47	1	theoretical	theoretical	ADJ
abr-132	47	2	framework	framework	NOUN
abr-132	47	3	of	of	ADP
abr-132	47	4	national	national	ADJ
abr-132	47	5	software	software	NOUN
abr-132	47	6	piracy	piracy	NOUN
abr-132	47	7	rates	rate	NOUN
abr-132	47	8	:	:	PUNCT
abr-132	47	9	cost	cost	NOUN
abr-132	47	10	-	-	PUNCT
abr-132	47	11	benefit	benefit	NOUN
abr-132	47	12	analysis	analysis	NOUN
abr-132	47	13	from	from	ADP
abr-132	47	14	an	an	DET
abr-132	47	15	economic	economic	ADJ
abr-132	47	16	theory	theory	NOUN
abr-132	47	17	perspective	perspective	NOUN
abr-132	47	18	,	,	PUNCT
abr-132	47	19	software	software	NOUN
abr-132	47	20	piracy	piracy	NOUN
abr-132	47	21	is	be	AUX
abr-132	47	22	a	a	DET
abr-132	47	23	simple	simple	ADJ
abr-132	47	24	cost	cost	NOUN
abr-132	47	25	-	-	PUNCT
abr-132	47	26	benefit	benefit	NOUN
abr-132	47	27	decision	decision	NOUN
abr-132	47	28	for	for	ADP
abr-132	47	29	individuals	individual	NOUN
abr-132	47	30	and	and	CCONJ
abr-132	47	31	firms	firm	NOUN
abr-132	47	32	.	.	PUNCT
abr-132	48	1	on	on	ADP
abr-132	48	2	the	the	DET
abr-132	48	3	benefit	benefit	NOUN
abr-132	48	4	side	side	NOUN
abr-132	48	5	,	,	PUNCT
abr-132	48	6	pirating	pirate	VERB
abr-132	48	7	software	software	NOUN
abr-132	48	8	instead	instead	ADV
abr-132	48	9	of	of	ADP
abr-132	48	10	paying	pay	VERB
abr-132	48	11	for	for	ADP
abr-132	48	12	it	it	PRON
abr-132	48	13	simply	simply	ADV
abr-132	48	14	increases	increase	VERB
abr-132	48	15	an	an	DET
abr-132	48	16	individual	individual	NOUN
abr-132	48	17	’s	’s	PART
abr-132	48	18	disposable	disposable	ADJ
abr-132	48	19	income	income	NOUN
abr-132	48	20	.	.	PUNCT
abr-132	49	1	and	and	CCONJ
abr-132	49	2	economic	economic	ADJ
abr-132	49	3	theory	theory	NOUN
abr-132	49	4	would	would	AUX
abr-132	49	5	predict	predict	VERB
abr-132	49	6	that	that	SCONJ
abr-132	49	7	higher	high	ADJ
abr-132	49	8	individual	individual	ADJ
abr-132	49	9	incomes	income	NOUN
abr-132	49	10	would	would	AUX
abr-132	49	11	reduce	reduce	VERB
abr-132	49	12	the	the	DET
abr-132	49	13	need	need	NOUN
abr-132	49	14	to	to	PART
abr-132	49	15	engage	engage	VERB
abr-132	49	16	in	in	ADP
abr-132	49	17	software	software	NOUN
abr-132	49	18	piracy	piracy	NOUN
abr-132	49	19	due	due	ADP
abr-132	49	20	to	to	ADP
abr-132	49	21	the	the	DET
abr-132	49	22	concept	concept	NOUN
abr-132	49	23	of	of	ADP
abr-132	49	24	diminishing	diminish	VERB
abr-132	49	25	marginal	marginal	ADJ
abr-132	49	26	utility	utility	NOUN
abr-132	49	27	of	of	ADP
abr-132	49	28	income	income	NOUN
abr-132	49	29	.	.	PUNCT
abr-132	50	1	this	this	DET
abr-132	50	2	concept	concept	NOUN
abr-132	50	3	states	state	VERB
abr-132	50	4	that	that	SCONJ
abr-132	50	5	the	the	DET
abr-132	50	6	first	first	ADJ
abr-132	50	7	dollar	dollar	NOUN
abr-132	50	8	of	of	ADP
abr-132	50	9	income	income	NOUN
abr-132	50	10	adds	add	VERB
abr-132	50	11	more	more	ADV
abr-132	50	12	to	to	ADP
abr-132	50	13	an	an	DET
abr-132	50	14	kyper	kyper	ADJ
abr-132	50	15	53	53	NUM
abr-132	50	16	individual	individual	NOUN
abr-132	50	17	's	's	PART
abr-132	50	18	utility	utility	NOUN
abr-132	50	19	than	than	ADP
abr-132	50	20	the	the	DET
abr-132	50	21	second	second	ADJ
abr-132	50	22	dollar	dollar	NOUN
abr-132	50	23	,	,	PUNCT
abr-132	50	24	which	which	PRON
abr-132	50	25	adds	add	VERB
abr-132	50	26	more	more	ADV
abr-132	50	27	to	to	ADP
abr-132	50	28	utility	utility	NOUN
abr-132	50	29	than	than	ADP
abr-132	50	30	the	the	DET
abr-132	50	31	third	third	ADJ
abr-132	50	32	dollar	dollar	NOUN
abr-132	50	33	,	,	PUNCT
abr-132	50	34	and	and	CCONJ
abr-132	50	35	so	so	ADV
abr-132	50	36	forth	forth	ADV
abr-132	50	37	.	.	PUNCT
abr-132	51	1	put	put	VERB
abr-132	51	2	simply	simply	ADV
abr-132	51	3	,	,	PUNCT
abr-132	51	4	a	a	DET
abr-132	51	5	poor	poor	ADJ
abr-132	51	6	person	person	NOUN
abr-132	51	7	making	make	VERB
abr-132	51	8	$	$	SYM
abr-132	51	9	7,000	7,000	NUM
abr-132	51	10	who	who	PRON
abr-132	51	11	currently	currently	ADV
abr-132	51	12	has	have	VERB
abr-132	51	13	a	a	DET
abr-132	51	14	low	low	ADJ
abr-132	51	15	utility	utility	NOUN
abr-132	51	16	level	level	NOUN
abr-132	51	17	saving	save	VERB
abr-132	51	18	$	$	SYM
abr-132	51	19	100	100	NUM
abr-132	51	20	dollar	dollar	NOUN
abr-132	51	21	by	by	ADP
abr-132	51	22	pirating	pirate	VERB
abr-132	51	23	a	a	DET
abr-132	51	24	piece	piece	NOUN
abr-132	51	25	of	of	ADP
abr-132	51	26	software	software	NOUN
abr-132	51	27	is	be	AUX
abr-132	51	28	adding	add	VERB
abr-132	51	29	more	more	ADJ
abr-132	51	30	to	to	ADP
abr-132	51	31	his	his	PRON
abr-132	51	32	/	/	SYM
abr-132	51	33	her	her	PRON
abr-132	51	34	utility	utility	NOUN
abr-132	51	35	than	than	ADP
abr-132	51	36	a	a	DET
abr-132	51	37	rich	rich	ADJ
abr-132	51	38	person	person	NOUN
abr-132	51	39	making	make	VERB
abr-132	51	40	$	$	SYM
abr-132	51	41	100,000	100,000	NUM
abr-132	51	42	doing	do	VERB
abr-132	51	43	so	so	ADV
abr-132	51	44	,	,	PUNCT
abr-132	51	45	ceteris	ceteris	NOUN
abr-132	51	46	paribus	paribus	NOUN
abr-132	51	47	.	.	PUNCT
abr-132	52	1	table	table	NOUN
abr-132	52	2	1	1	NUM
abr-132	52	3	.	.	PUNCT
abr-132	53	1	summary	summary	NOUN
abr-132	53	2	of	of	ADP
abr-132	53	3	previous	previous	ADJ
abr-132	53	4	studies	study	NOUN
abr-132	53	5	of	of	ADP
abr-132	53	6	software	software	NOUN
abr-132	53	7	piracy	piracy	NOUN
abr-132	53	8	rates	rate	NOUN
abr-132	53	9	(	(	PUNCT
abr-132	53	10	spr	spr	INTJ
abr-132	53	11	)	)	PUNCT
abr-132	53	12	where	where	SCONJ
abr-132	53	13	spr	spr	PROPN
abr-132	53	14	is	be	AUX
abr-132	53	15	dependent	dependent	ADJ
abr-132	53	16	variable	variable	NOUN
abr-132	53	17	(	(	PUNCT
abr-132	53	18	dv	dv	PROPN
abr-132	53	19	)	)	PUNCT
abr-132	53	20	authors	author	NOUN
abr-132	53	21	sample	sample	NOUN
abr-132	53	22	size	size	NOUN
abr-132	53	23	ivs	ivs	PROPN
abr-132	53	24	key	key	ADJ
abr-132	53	25	findings	finding	NOUN
abr-132	53	26	method	method	NOUN
abr-132	53	27	(	(	PUNCT
abr-132	53	28	chavarria	chavarria	PROPN
abr-132	53	29	&	&	CCONJ
abr-132	53	30	morrison	morrison	PROPN
abr-132	53	31	,	,	PUNCT
abr-132	53	32	2014	2014	NUM
abr-132	53	33	)	)	PUNCT
abr-132	53	34	42	42	NUM
abr-132	53	35	countries	country	NOUN
abr-132	53	36	gdp	gdp	NOUN
abr-132	53	37	per	per	ADP
abr-132	53	38	capita	capita	NOUN
abr-132	53	39	,	,	PUNCT
abr-132	53	40	hofstede	hofstede	NOUN
abr-132	53	41	5	5	NUM
abr-132	53	42	cultural	cultural	ADJ
abr-132	53	43	values	value	NOUN
abr-132	53	44	cultural	cultural	ADJ
abr-132	53	45	values	value	NOUN
abr-132	53	46	of	of	ADP
abr-132	53	47	collectivism	collectivism	NOUN
abr-132	53	48	and	and	CCONJ
abr-132	53	49	performance	performance	NOUN
abr-132	53	50	orientation	orientation	NOUN
abr-132	53	51	positively	positively	ADV
abr-132	53	52	related	relate	VERB
abr-132	53	53	to	to	ADP
abr-132	53	54	spr	spr	PROPN
abr-132	53	55	.	.	PUNCT
abr-132	54	1	log	log	PROPN
abr-132	54	2	of	of	ADP
abr-132	54	3	gdp	gdp	NOUN
abr-132	54	4	per	per	ADP
abr-132	54	5	capital	capital	NOUN
abr-132	54	6	also	also	ADV
abr-132	54	7	positively	positively	ADV
abr-132	54	8	related	relate	VERB
abr-132	54	9	to	to	ADP
abr-132	54	10	spr	spr	PROPN
abr-132	54	11	.	.	PUNCT
abr-132	55	1	ols	ol	NOUN
abr-132	55	2	regression	regression	NOUN
abr-132	55	3	(	(	PUNCT
abr-132	55	4	hamister	hamister	PROPN
abr-132	55	5	&	&	CCONJ
abr-132	55	6	braunscheide	braunscheide	PROPN
abr-132	55	7	,	,	PUNCT
abr-132	55	8	2013	2013	NUM
abr-132	55	9	)	)	PUNCT
abr-132	55	10	105	105	NUM
abr-132	55	11	countries	country	NOUN
abr-132	55	12	gdp	gdp	NOUN
abr-132	55	13	per	per	ADP
abr-132	55	14	capita	capita	NOUN
abr-132	55	15	,	,	PUNCT
abr-132	55	16	hofstede	hofstede	NOUN
abr-132	55	17	5	5	NUM
abr-132	55	18	cultural	cultural	ADJ
abr-132	55	19	values	value	NOUN
abr-132	55	20	&	&	CCONJ
abr-132	55	21	intellectual	intellectual	ADJ
abr-132	55	22	property	property	NOUN
abr-132	55	23	rights	right	NOUN
abr-132	55	24	protection	protection	NOUN
abr-132	55	25	gdp	gdp	NOUN
abr-132	55	26	per	per	ADP
abr-132	55	27	capita	capita	NOUN
abr-132	55	28	and	and	CCONJ
abr-132	55	29	ippr	ippr	NOUN
abr-132	55	30	are	be	AUX
abr-132	55	31	negatively	negatively	ADV
abr-132	55	32	correlated	correlate	VERB
abr-132	55	33	with	with	ADP
abr-132	55	34	spr	spr	PROPN
abr-132	55	35	.	.	PUNCT
abr-132	56	1	also	also	ADV
abr-132	56	2	,	,	PUNCT
abr-132	56	3	high	high	ADJ
abr-132	56	4	power	power	NOUN
abr-132	56	5	distance	distance	NOUN
abr-132	56	6	is	be	AUX
abr-132	56	7	positively	positively	ADV
abr-132	56	8	associated	associate	VERB
abr-132	56	9	with	with	ADP
abr-132	56	10	spr	spr	PROPN
abr-132	56	11	.	.	PUNCT
abr-132	57	1	other	other	ADJ
abr-132	57	2	cultural	cultural	ADJ
abr-132	57	3	dimensions	dimension	NOUN
abr-132	57	4	were	be	AUX
abr-132	57	5	not	not	PART
abr-132	57	6	significant	significant	ADJ
abr-132	57	7	,	,	PUNCT
abr-132	57	8	including	include	VERB
abr-132	57	9	collectivism	collectivism	NOUN
abr-132	57	10	.	.	PUNCT
abr-132	58	1	ols	ol	NOUN
abr-132	58	2	regression	regression	NOUN
abr-132	58	3	(	(	PUNCT
abr-132	58	4	goel	goel	PROPN
abr-132	58	5	&	&	CCONJ
abr-132	58	6	nelson	nelson	PROPN
abr-132	58	7	,	,	PUNCT
abr-132	58	8	2012	2012	NUM
abr-132	58	9	)	)	PUNCT
abr-132	58	10	100	100	NUM
abr-132	58	11	countries	country	NOUN
abr-132	58	12	gdp	gdp	NOUN
abr-132	58	13	per	per	ADP
abr-132	58	14	capita	capita	X
abr-132	58	15	shadow	shadow	NOUN
abr-132	58	16	economy	economy	PROPN
abr-132	58	17	&	&	CCONJ
abr-132	58	18	internet	internet	NOUN
abr-132	58	19	diffusion	diffusion	NOUN
abr-132	58	20	underground	underground	NOUN
abr-132	58	21	economy	economy	NOUN
abr-132	58	22	has	have	VERB
abr-132	58	23	a	a	DET
abr-132	58	24	positive	positive	ADJ
abr-132	58	25	relationship	relationship	NOUN
abr-132	58	26	with	with	ADP
abr-132	58	27	spr	spr	PROPN
abr-132	58	28	.	.	PUNCT
abr-132	58	29	negative	negative	ADJ
abr-132	58	30	relationship	relationship	NOUN
abr-132	58	31	with	with	ADP
abr-132	58	32	gdp	gdp	NOUN
abr-132	58	33	per	per	ADP
abr-132	58	34	capita	capita	X
abr-132	58	35	and	and	CCONJ
abr-132	58	36	internet	internet	NOUN
abr-132	58	37	diffusion	diffusion	NOUN
abr-132	58	38	.	.	PUNCT
abr-132	59	1	ols	ols	PROPN
abr-132	59	2	regression	regression	PROPN
abr-132	59	3	(	(	PUNCT
abr-132	59	4	harbi	harbi	PROPN
abr-132	59	5	,	,	PUNCT
abr-132	59	6	grolleau	grolleau	PROPN
abr-132	59	7	,	,	PUNCT
abr-132	59	8	&	&	CCONJ
abr-132	59	9	bekir	bekir	PROPN
abr-132	59	10	,	,	PUNCT
abr-132	59	11	2012	2012	NUM
abr-132	59	12	)	)	PUNCT
abr-132	59	13	100	100	NUM
abr-132	59	14	countries	country	NOUN
abr-132	59	15	gdp	gdp	NOUN
abr-132	59	16	per	per	ADP
abr-132	59	17	capita	capita	X
abr-132	59	18	studied	study	VERB
abr-132	59	19	100	100	NUM
abr-132	59	20	countries	country	NOUN
abr-132	59	21	over	over	ADP
abr-132	59	22	15	15	NUM
abr-132	59	23	years	year	NOUN
abr-132	59	24	and	and	CCONJ
abr-132	59	25	showed	show	VERB
abr-132	59	26	piracy	piracy	NOUN
abr-132	59	27	first	first	ADJ
abr-132	59	28	increase	increase	NOUN
abr-132	59	29	with	with	ADP
abr-132	59	30	level	level	NOUN
abr-132	59	31	of	of	ADP
abr-132	59	32	gdp	gdp	NOUN
abr-132	59	33	per	per	ADP
abr-132	59	34	capita	capita	NOUN
abr-132	59	35	,	,	PUNCT
abr-132	59	36	reaches	reach	VERB
abr-132	59	37	maximum	maximum	ADJ
abr-132	59	38	,	,	PUNCT
abr-132	59	39	then	then	ADV
abr-132	59	40	decreases	decrease	VERB
abr-132	59	41	at	at	ADP
abr-132	59	42	higher	high	ADJ
abr-132	59	43	income	income	NOUN
abr-132	59	44	levels	level	NOUN
abr-132	59	45	.	.	PUNCT
abr-132	60	1	ols	ol	NOUN
abr-132	60	2	regression	regression	PROPN
abr-132	60	3	(	(	PUNCT
abr-132	60	4	yang	yang	PROPN
abr-132	60	5	,	,	PUNCT
abr-132	60	6	sonmez	sonmez	NOUN
abr-132	60	7	,	,	PUNCT
abr-132	60	8	bosworth	bosworth	PROPN
abr-132	60	9	,	,	PUNCT
abr-132	60	10	&	&	CCONJ
abr-132	60	11	fryxell	fryxell	PROPN
abr-132	60	12	,	,	PUNCT
abr-132	60	13	2009	2009	NUM
abr-132	60	14	)	)	PUNCT
abr-132	60	15	59	59	NUM
abr-132	60	16	countries	country	NOUN
abr-132	60	17	gni	gni	X
abr-132	60	18	per	per	ADP
abr-132	60	19	capita	capita	X
abr-132	60	20	,	,	PUNCT
abr-132	60	21	individualism	individualism	NOUN
abr-132	60	22	&	&	CCONJ
abr-132	60	23	technology	technology	PROPN
abr-132	60	24	development	development	NOUN
abr-132	60	25	all	all	DET
abr-132	60	26	3	3	NUM
abr-132	60	27	iv	iv	NOUN
abr-132	60	28	’s	’	NOUN
abr-132	60	29	are	be	AUX
abr-132	60	30	negatively	negatively	ADV
abr-132	60	31	correlated	correlate	VERB
abr-132	60	32	with	with	ADP
abr-132	60	33	spr	spr	PROPN
abr-132	60	34	.	.	PUNCT
abr-132	60	35	ols	ols	PROPN
abr-132	60	36	regression	regression	PROPN
abr-132	60	37	(	(	PUNCT
abr-132	60	38	gopal	gopal	PROPN
abr-132	60	39	&	&	CCONJ
abr-132	60	40	sanders	sanders	PROPN
abr-132	60	41	,	,	PUNCT
abr-132	60	42	sep	sep	PROPN
abr-132	60	43	2000	2000	NUM
abr-132	60	44	)	)	PUNCT
abr-132	60	45	65	65	NUM
abr-132	60	46	countries	country	NOUN
abr-132	60	47	per	per	ADP
abr-132	60	48	capita	capita	X
abr-132	60	49	gnp	gnp	NOUN
abr-132	60	50	an	an	DET
abr-132	60	51	inverse	inverse	NOUN
abr-132	60	52	relationship	relationship	NOUN
abr-132	60	53	between	between	ADP
abr-132	60	54	software	software	NOUN
abr-132	60	55	piracy	piracy	NOUN
abr-132	60	56	rates	rate	NOUN
abr-132	60	57	and	and	CCONJ
abr-132	60	58	per	per	ADP
abr-132	60	59	capita	capita	X
abr-132	60	60	gnp	gnp	NOUN
abr-132	60	61	with	with	ADP
abr-132	60	62	a	a	DET
abr-132	60	63	break	break	NOUN
abr-132	60	64	at	at	ADP
abr-132	60	65	$	$	SYM
abr-132	60	66	6,000	6,000	NUM
abr-132	60	67	with	with	ADP
abr-132	60	68	those	those	PRON
abr-132	60	69	below	below	ADP
abr-132	60	70	the	the	DET
abr-132	60	71	break	break	NOUN
abr-132	60	72	being	be	AUX
abr-132	60	73	affected	affect	VERB
abr-132	60	74	more	more	ADJ
abr-132	60	75	.	.	PUNCT
abr-132	61	1	ols	ol	NOUN
abr-132	61	2	regression	regression	PROPN
abr-132	61	3	(	(	PUNCT
abr-132	61	4	marron	marron	PROPN
abr-132	61	5	&	&	CCONJ
abr-132	61	6	steel	steel	PROPN
abr-132	61	7	,	,	PUNCT
abr-132	61	8	april	april	PROPN
abr-132	61	9	2000	2000	NUM
abr-132	61	10	)	)	PUNCT
abr-132	62	1	77	77	NUM
abr-132	62	2	countries	country	NOUN
abr-132	62	3	,	,	PUNCT
abr-132	62	4	per	per	ADP
abr-132	62	5	capita	capita	NOUN
abr-132	62	6	income	income	NOUN
abr-132	62	7	,	,	PUNCT
abr-132	62	8	individualism	individualism	NOUN
abr-132	62	9	,	,	PUNCT
abr-132	62	10	r&d	r&d	NOUN
abr-132	62	11	,	,	PUNCT
abr-132	62	12	education	education	NOUN
abr-132	62	13	,	,	PUNCT
abr-132	62	14	strength	strength	NOUN
abr-132	62	15	of	of	ADP
abr-132	62	16	economicinstitutions	economicinstitution	NOUN
abr-132	62	17	the	the	DET
abr-132	62	18	inverse	inverse	NOUN
abr-132	62	19	relationships	relationship	NOUN
abr-132	62	20	of	of	ADP
abr-132	62	21	individualism	individualism	NOUN
abr-132	62	22	,	,	PUNCT
abr-132	62	23	per	per	ADP
abr-132	62	24	capita	capita	NOUN
abr-132	62	25	income	income	NOUN
abr-132	62	26	and	and	CCONJ
abr-132	62	27	strength	strength	NOUN
abr-132	62	28	of	of	ADP
abr-132	62	29	economic	economic	ADJ
abr-132	62	30	institutions	institution	NOUN
abr-132	62	31	explain	explain	VERB
abr-132	62	32	the	the	DET
abr-132	62	33	greatest	great	ADJ
abr-132	62	34	amount	amount	NOUN
abr-132	62	35	of	of	ADP
abr-132	62	36	variance	variance	NOUN
abr-132	62	37	in	in	ADP
abr-132	62	38	software	software	NOUN
abr-132	62	39	piracy	piracy	NOUN
abr-132	62	40	rates	rate	NOUN
abr-132	62	41	.	.	PUNCT
abr-132	63	1	ols	ol	NOUN
abr-132	63	2	regression	regression	NOUN
abr-132	63	3	(	(	PUNCT
abr-132	63	4	husted	huste	VERB
abr-132	63	5	,	,	PUNCT
abr-132	63	6	2000	2000	NUM
abr-132	63	7	)	)	PUNCT
abr-132	63	8	39	39	NUM
abr-132	63	9	countries	country	NOUN
abr-132	63	10	,	,	PUNCT
abr-132	63	11	per	per	ADP
abr-132	63	12	capita	capita	X
abr-132	63	13	gnp	gnp	NOUN
abr-132	63	14	,	,	PUNCT
abr-132	63	15	individualism	individualism	NOUN
abr-132	63	16	,	,	PUNCT
abr-132	63	17	income	income	NOUN
abr-132	63	18	inequality	inequality	NOUN
abr-132	63	19	,	,	PUNCT
abr-132	63	20	masculinity	masculinity	NOUN
abr-132	63	21	,	,	PUNCT
abr-132	63	22	power	power	NOUN
abr-132	63	23	distance	distance	NOUN
abr-132	63	24	,	,	PUNCT
abr-132	63	25	uncertainty	uncertainty	NOUN
abr-132	63	26	avoidance	avoidance	NOUN
abr-132	63	27	included	include	VERB
abr-132	63	28	cultural	cultural	ADJ
abr-132	63	29	variables	variable	NOUN
abr-132	63	30	finding	find	VERB
abr-132	63	31	that	that	SCONJ
abr-132	63	32	gnp	gnp	PROPN
abr-132	63	33	per	per	ADP
abr-132	63	34	capita	capita	X
abr-132	63	35	,	,	PUNCT
abr-132	63	36	income	income	NOUN
abr-132	63	37	inequality	inequality	NOUN
abr-132	63	38	,	,	PUNCT
abr-132	63	39	and	and	CCONJ
abr-132	63	40	individualism	individualism	NOUN
abr-132	63	41	are	be	AUX
abr-132	63	42	significantly	significantly	ADV
abr-132	63	43	related	relate	VERB
abr-132	63	44	to	to	ADP
abr-132	63	45	software	software	NOUN
abr-132	63	46	piracy	piracy	NOUN
abr-132	63	47	(	(	PUNCT
abr-132	63	48	all	all	DET
abr-132	63	49	relationships	relationship	NOUN
abr-132	63	50	are	be	AUX
abr-132	63	51	inverse	inverse	ADJ
abr-132	63	52	)	)	PUNCT
abr-132	63	53	.	.	PUNCT
abr-132	64	1	correlation	correlation	NOUN
abr-132	64	2	(	(	PUNCT
abr-132	64	3	gopal	gopal	PROPN
abr-132	64	4	&	&	CCONJ
abr-132	64	5	sanders	sanders	PROPN
abr-132	64	6	,	,	PUNCT
abr-132	64	7	december	december	PROPN
abr-132	64	8	1998	1998	NUM
abr-132	64	9	)	)	PUNCT
abr-132	64	10	13	13	NUM
abr-132	64	11	countries	country	NOUN
abr-132	64	12	gdp	gdp	NOUN
abr-132	64	13	per	per	ADP
abr-132	64	14	capita	capita	NOUN
abr-132	64	15	,	,	PUNCT
abr-132	64	16	domestic	domestic	ADJ
abr-132	64	17	software	software	NOUN
abr-132	64	18	industry	industry	NOUN
abr-132	64	19	size	size	NOUN
abr-132	64	20	provides	provide	VERB
abr-132	64	21	support	support	NOUN
abr-132	64	22	for	for	ADP
abr-132	64	23	the	the	DET
abr-132	64	24	proposition	proposition	NOUN
abr-132	64	25	that	that	SCONJ
abr-132	64	26	a	a	DET
abr-132	64	27	government	government	NOUN
abr-132	64	28	’s	’s	PART
abr-132	64	29	incentive	incentive	NOUN
abr-132	64	30	to	to	PART
abr-132	64	31	enact	enact	VERB
abr-132	64	32	and	and	CCONJ
abr-132	64	33	enforce	enforce	VERB
abr-132	64	34	copyright	copyright	NOUN
abr-132	64	35	protection	protection	NOUN
abr-132	64	36	laws	law	NOUN
abr-132	64	37	is	be	AUX
abr-132	64	38	closely	closely	ADV
abr-132	64	39	related	relate	VERB
abr-132	64	40	to	to	ADP
abr-132	64	41	the	the	DET
abr-132	64	42	size	size	NOUN
abr-132	64	43	of	of	ADP
abr-132	64	44	the	the	DET
abr-132	64	45	domestic	domestic	ADJ
abr-132	64	46	software	software	NOUN
abr-132	64	47	industry	industry	NOUN
abr-132	64	48	.	.	PUNCT
abr-132	65	1	also	also	ADV
abr-132	65	2	presents	present	VERB
abr-132	65	3	a	a	DET
abr-132	65	4	model	model	NOUN
abr-132	65	5	for	for	ADP
abr-132	65	6	ethical	ethical	ADJ
abr-132	65	7	intentions	intention	NOUN
abr-132	65	8	based	base	VERB
abr-132	65	9	on	on	ADP
abr-132	65	10	ethical	ethical	ADJ
abr-132	65	11	predisposition	predisposition	NOUN
abr-132	65	12	and	and	CCONJ
abr-132	65	13	demographics	demographic	NOUN
abr-132	65	14	.	.	PUNCT
abr-132	66	1	this	this	DET
abr-132	66	2	information	information	NOUN
abr-132	66	3	can	can	AUX
abr-132	66	4	be	be	AUX
abr-132	66	5	used	use	VERB
abr-132	66	6	to	to	PART
abr-132	66	7	create	create	VERB
abr-132	66	8	better	well	ADJ
abr-132	66	9	prevention	prevention	NOUN
abr-132	66	10	and	and	CCONJ
abr-132	66	11	deterrent	deterrent	NOUN
abr-132	66	12	controls	control	NOUN
abr-132	66	13	for	for	ADP
abr-132	66	14	software	software	NOUN
abr-132	66	15	piracy	piracy	NOUN
abr-132	66	16	.	.	PUNCT
abr-132	67	1	ols	ol	NOUN
abr-132	67	2	regression	regression	NOUN
abr-132	67	3	income	income	NOUN
abr-132	67	4	and	and	CCONJ
abr-132	67	5	national	national	ADJ
abr-132	67	6	software	software	NOUN
abr-132	67	7	piracy	piracy	NOUN
abr-132	67	8	54	54	NUM
abr-132	67	9	of	of	ADP
abr-132	67	10	course	course	NOUN
abr-132	67	11	,	,	PUNCT
abr-132	67	12	utility	utility	NOUN
abr-132	67	13	is	be	AUX
abr-132	67	14	not	not	PART
abr-132	67	15	directly	directly	ADV
abr-132	67	16	observed	observe	VERB
abr-132	67	17	or	or	CCONJ
abr-132	67	18	quantifiable	quantifiable	ADJ
abr-132	67	19	.	.	PUNCT
abr-132	68	1	a	a	DET
abr-132	68	2	standard	standard	ADJ
abr-132	68	3	form	form	NOUN
abr-132	68	4	for	for	ADP
abr-132	68	5	writing	write	VERB
abr-132	68	6	a	a	DET
abr-132	68	7	utility	utility	NOUN
abr-132	68	8	-	-	PUNCT
abr-132	68	9	income	income	NOUN
abr-132	68	10	function	function	NOUN
abr-132	68	11	is	be	AUX
abr-132	68	12	eq	eq	ADJ
abr-132	68	13	.	.	PROPN
abr-132	68	14	1	1	NUM
abr-132	68	15	:	:	PUNCT
abr-132	68	16	u	u	NOUN
abr-132	68	17	=	=	NOUN
abr-132	68	18	ciα	ciα	PROPN
abr-132	68	19	where	where	SCONJ
abr-132	68	20	c	c	NOUN
abr-132	68	21	is	be	AUX
abr-132	68	22	a	a	DET
abr-132	68	23	constant	constant	ADJ
abr-132	68	24	,	,	PUNCT
abr-132	68	25	i	i	PRON
abr-132	68	26	is	be	AUX
abr-132	68	27	income	income	NOUN
abr-132	68	28	and	and	CCONJ
abr-132	68	29	α	α	NOUN
abr-132	68	30	is	be	AUX
abr-132	68	31	the	the	DET
abr-132	68	32	key	key	ADJ
abr-132	68	33	parameter	parameter	NOUN
abr-132	68	34	that	that	PRON
abr-132	68	35	determines	determine	VERB
abr-132	68	36	the	the	DET
abr-132	68	37	marginal	marginal	ADJ
abr-132	68	38	effect	effect	NOUN
abr-132	68	39	of	of	ADP
abr-132	68	40	more	more	ADJ
abr-132	68	41	income	income	NOUN
abr-132	68	42	on	on	ADP
abr-132	68	43	utility	utility	NOUN
abr-132	68	44	.	.	PUNCT
abr-132	69	1	this	this	DET
abr-132	69	2	form	form	NOUN
abr-132	69	3	is	be	AUX
abr-132	69	4	derived	derive	VERB
abr-132	69	5	from	from	ADP
abr-132	69	6	the	the	DET
abr-132	69	7	standard	standard	PROPN
abr-132	69	8	cobb	cobb	PROPN
abr-132	69	9	-	-	PUNCT
abr-132	69	10	douglas	douglas	PROPN
abr-132	69	11	utility	utility	NOUN
abr-132	69	12	function	function	NOUN
abr-132	69	13	.	.	PUNCT
abr-132	70	1	mathematically	mathematically	ADV
abr-132	70	2	,	,	PUNCT
abr-132	70	3	starting	start	VERB
abr-132	70	4	from	from	ADP
abr-132	70	5	the	the	DET
abr-132	70	6	following	follow	VERB
abr-132	70	7	cobb	cobb	PROPN
abr-132	70	8	-	-	PUNCT
abr-132	70	9	douglas	douglas	PROPN
abr-132	70	10	utility	utility	NOUN
abr-132	70	11	function	function	NOUN
abr-132	70	12	,	,	PUNCT
abr-132	70	13	which	which	PRON
abr-132	70	14	expresses	express	VERB
abr-132	70	15	utility	utility	NOUN
abr-132	70	16	as	as	ADP
abr-132	70	17	a	a	DET
abr-132	70	18	function	function	NOUN
abr-132	70	19	of	of	ADP
abr-132	70	20	the	the	DET
abr-132	70	21	quantities	quantity	NOUN
abr-132	70	22	of	of	ADP
abr-132	70	23	goods	good	NOUN
abr-132	70	24	x	x	PUNCT
abr-132	70	25	and	and	CCONJ
abr-132	70	26	y	y	PROPN
abr-132	70	27	consumed	consume	VERB
abr-132	70	28	,	,	PUNCT
abr-132	70	29	where	where	SCONJ
abr-132	70	30	a	a	PRON
abr-132	70	31	and	and	CCONJ
abr-132	70	32	b	b	NOUN
abr-132	70	33	are	be	AUX
abr-132	70	34	preference	preference	NOUN
abr-132	70	35	parameters	parameter	NOUN
abr-132	70	36	:	:	PUNCT
abr-132	70	37	eq	eq	ADJ
abr-132	70	38	.	.	PROPN
abr-132	70	39	2	2	NUM
abr-132	70	40	:	:	PUNCT
abr-132	70	41	!	!	PUNCT
abr-132	71	1	=	=	PUNCT
abr-132	71	2	!	!	PUNCT
abr-132	71	3	!	!	PUNCT
abr-132	71	4	!	!	PUNCT
abr-132	71	5	!	!	PUNCT
abr-132	72	1	subject	subject	ADJ
abr-132	72	2	to	to	ADP
abr-132	72	3	the	the	DET
abr-132	72	4	budget	budget	NOUN
abr-132	72	5	constraint	constraint	NOUN
abr-132	72	6	(	(	PUNCT
abr-132	72	7	i	i	NOUN
abr-132	72	8	=	=	NOUN
abr-132	72	9	income	income	NOUN
abr-132	72	10	,	,	PUNCT
abr-132	72	11	assuming	assume	VERB
abr-132	72	12	all	all	DET
abr-132	72	13	income	income	NOUN
abr-132	72	14	is	be	AUX
abr-132	72	15	spent	spend	VERB
abr-132	72	16	on	on	ADP
abr-132	72	17	x	x	PUNCT
abr-132	72	18	and	and	CCONJ
abr-132	72	19	y	y	PROPN
abr-132	72	20	):	):	PUNCT
abr-132	72	21	eq	eq	NOUN
abr-132	72	22	.	.	NOUN
abr-132	72	23	3	3	NUM
abr-132	72	24	:	:	PUNCT
abr-132	72	25	!	!	PUNCT
abr-132	73	1	=	=	PUNCT
abr-132	73	2	!	!	PUNCT
abr-132	73	3	!	!	PUNCT
abr-132	73	4	!	!	PUNCT
abr-132	74	1	+	+	CCONJ
abr-132	74	2	!	!	PUNCT
abr-132	74	3	!	!	PUNCT
abr-132	74	4	!	!	PUNCT
abr-132	75	1	we	we	PRON
abr-132	75	2	can	can	AUX
abr-132	75	3	derive	derive	VERB
abr-132	75	4	the	the	DET
abr-132	75	5	following	follow	VERB
abr-132	75	6	utility	utility	NOUN
abr-132	75	7	-	-	PUNCT
abr-132	75	8	income	income	NOUN
abr-132	75	9	function	function	NOUN
abr-132	75	10	:	:	PUNCT
abr-132	75	11	eq	eq	X
abr-132	75	12	.	.	PROPN
abr-132	75	13	4	4	NUM
abr-132	75	14	:	:	PUNCT
abr-132	75	15	!	!	PUNCT
abr-132	76	1	=	=	PUNCT
abr-132	76	2	!	!	PUNCT
abr-132	76	3	(	(	PUNCT
abr-132	76	4	!	!	PUNCT
abr-132	76	5	!	!	PUNCT
abr-132	76	6	!	!	PUNCT
abr-132	76	7	)	)	PUNCT
abr-132	76	8	!	!	PUNCT
abr-132	76	9	!	!	PUNCT
abr-132	76	10	!	!	PUNCT
abr-132	77	1	(	(	PUNCT
abr-132	77	2	!	!	PUNCT
abr-132	77	3	!	!	PUNCT
abr-132	77	4	!	!	PUNCT
abr-132	77	5	!	!	PUNCT
abr-132	77	6	)	)	PUNCT
abr-132	77	7	!	!	PUNCT
abr-132	77	8	!	!	PUNCT
abr-132	77	9	!	!	PUNCT
abr-132	77	10	!	!	PUNCT
abr-132	78	1	(	(	PUNCT
abr-132	78	2	!	!	PUNCT
abr-132	78	3	!	!	PUNCT
abr-132	78	4	!	!	PUNCT
abr-132	78	5	!	!	PUNCT
abr-132	78	6	)	)	PUNCT
abr-132	78	7	!	!	PUNCT
abr-132	79	1	the	the	DET
abr-132	79	2	denominator	denominator	NOUN
abr-132	79	3	of	of	ADP
abr-132	79	4	this	this	DET
abr-132	79	5	fraction	fraction	NOUN
abr-132	79	6	,	,	PUNCT
abr-132	79	7	which	which	PRON
abr-132	79	8	consists	consist	VERB
abr-132	79	9	of	of	ADP
abr-132	79	10	the	the	DET
abr-132	79	11	prices	price	NOUN
abr-132	79	12	of	of	ADP
abr-132	79	13	goods	good	NOUN
abr-132	79	14	x	x	PUNCT
abr-132	79	15	and	and	CCONJ
abr-132	79	16	y	y	PROPN
abr-132	79	17	and	and	CCONJ
abr-132	79	18	parameters	parameter	NOUN
abr-132	79	19	,	,	PUNCT
abr-132	79	20	is	be	AUX
abr-132	79	21	a	a	DET
abr-132	79	22	constant	constant	ADJ
abr-132	79	23	as	as	SCONJ
abr-132	79	24	it	it	PRON
abr-132	79	25	relates	relate	VERB
abr-132	79	26	to	to	ADP
abr-132	79	27	income	income	NOUN
abr-132	79	28	.	.	PUNCT
abr-132	80	1	if	if	SCONJ
abr-132	80	2	a+b	a+b	NUM
abr-132	80	3	<	<	X
abr-132	80	4	1	1	NUM
abr-132	80	5	,	,	PUNCT
abr-132	80	6	then	then	ADV
abr-132	80	7	diminishing	diminish	VERB
abr-132	80	8	marginal	marginal	ADJ
abr-132	80	9	utility	utility	NOUN
abr-132	80	10	of	of	ADP
abr-132	80	11	income	income	NOUN
abr-132	80	12	holds	hold	VERB
abr-132	80	13	because	because	SCONJ
abr-132	80	14	increasing	increase	VERB
abr-132	80	15	income	income	NOUN
abr-132	80	16	by	by	ADP
abr-132	80	17	a	a	DET
abr-132	80	18	factor	factor	NOUN
abr-132	80	19	(	(	PUNCT
abr-132	80	20	a+b	a+b	NUM
abr-132	80	21	)	)	PUNCT
abr-132	80	22	would	would	AUX
abr-132	80	23	increase	increase	VERB
abr-132	80	24	utility	utility	NOUN
abr-132	80	25	by	by	ADP
abr-132	80	26	less	less	ADJ
abr-132	80	27	than	than	ADP
abr-132	80	28	that	that	DET
abr-132	80	29	factor	factor	NOUN
abr-132	80	30	(	(	PUNCT
abr-132	80	31	a+b	a+b	NUM
abr-132	80	32	)	)	PUNCT
abr-132	80	33	.	.	PUNCT
abr-132	81	1	the	the	DET
abr-132	81	2	speed	speed	NOUN
abr-132	81	3	at	at	ADP
abr-132	81	4	which	which	PRON
abr-132	81	5	utility	utility	NOUN
abr-132	81	6	is	be	AUX
abr-132	81	7	increasing	increase	VERB
abr-132	81	8	as	as	SCONJ
abr-132	81	9	income	income	NOUN
abr-132	81	10	increases	increase	NOUN
abr-132	81	11	depends	depend	VERB
abr-132	81	12	on	on	ADP
abr-132	81	13	the	the	DET
abr-132	81	14	value	value	NOUN
abr-132	81	15	of	of	ADP
abr-132	81	16	the	the	DET
abr-132	81	17	factor	factor	NOUN
abr-132	81	18	(	(	PUNCT
abr-132	81	19	a+b	a+b	NUM
abr-132	81	20	)	)	PUNCT
abr-132	81	21	.	.	PUNCT
abr-132	82	1	if	if	SCONJ
abr-132	82	2	a+b	a+b	NUM
abr-132	82	3	is	be	AUX
abr-132	82	4	close	close	ADJ
abr-132	82	5	to	to	ADP
abr-132	82	6	1	1	NUM
abr-132	82	7	,	,	PUNCT
abr-132	82	8	then	then	ADV
abr-132	82	9	utility	utility	NOUN
abr-132	82	10	is	be	AUX
abr-132	82	11	increasing	increase	VERB
abr-132	82	12	as	as	ADP
abr-132	82	13	income	income	NOUN
abr-132	82	14	increases	increase	NOUN
abr-132	82	15	at	at	ADP
abr-132	82	16	a	a	DET
abr-132	82	17	rate	rate	NOUN
abr-132	82	18	that	that	PRON
abr-132	82	19	is	be	AUX
abr-132	82	20	relatively	relatively	ADV
abr-132	82	21	fast	fast	ADJ
abr-132	82	22	.	.	PUNCT
abr-132	83	1	if	if	SCONJ
abr-132	83	2	a+b	a+b	NUM
abr-132	83	3	is	be	AUX
abr-132	83	4	close	close	ADJ
abr-132	83	5	to	to	ADP
abr-132	83	6	0	0	NUM
abr-132	83	7	,	,	PUNCT
abr-132	83	8	then	then	ADV
abr-132	83	9	utility	utility	NOUN
abr-132	83	10	is	be	AUX
abr-132	83	11	increasing	increase	VERB
abr-132	83	12	as	as	ADP
abr-132	83	13	income	income	NOUN
abr-132	83	14	increases	increase	NOUN
abr-132	83	15	but	but	CCONJ
abr-132	83	16	at	at	ADP
abr-132	83	17	a	a	DET
abr-132	83	18	relatively	relatively	ADV
abr-132	83	19	slow	slow	ADJ
abr-132	83	20	rate	rate	NOUN
abr-132	83	21	.	.	PUNCT
abr-132	84	1	for	for	ADP
abr-132	84	2	the	the	DET
abr-132	84	3	purposes	purpose	NOUN
abr-132	84	4	of	of	ADP
abr-132	84	5	this	this	DET
abr-132	84	6	paper	paper	NOUN
abr-132	84	7	,	,	PUNCT
abr-132	84	8	we	we	PRON
abr-132	84	9	use	use	VERB
abr-132	84	10	a	a	DET
abr-132	84	11	simple	simple	ADJ
abr-132	84	12	square	square	ADJ
abr-132	84	13	root	root	NOUN
abr-132	84	14	of	of	ADP
abr-132	84	15	income	income	NOUN
abr-132	84	16	to	to	PART
abr-132	84	17	approximate	approximate	VERB
abr-132	84	18	the	the	DET
abr-132	84	19	utility	utility	NOUN
abr-132	84	20	-	-	PUNCT
abr-132	84	21	income	income	NOUN
abr-132	84	22	function	function	NOUN
abr-132	84	23	.	.	PUNCT
abr-132	85	1	specifically	specifically	ADV
abr-132	85	2	,	,	PUNCT
abr-132	85	3	we	we	PRON
abr-132	85	4	assume	assume	VERB
abr-132	85	5	that	that	SCONJ
abr-132	85	6	the	the	DET
abr-132	85	7	denominator	denominator	NOUN
abr-132	85	8	of	of	ADP
abr-132	85	9	the	the	DET
abr-132	85	10	utility	utility	NOUN
abr-132	85	11	-	-	PUNCT
abr-132	85	12	income	income	NOUN
abr-132	85	13	function	function	NOUN
abr-132	85	14	above	above	ADV
abr-132	85	15	is	be	AUX
abr-132	85	16	1	1	NUM
abr-132	85	17	and	and	CCONJ
abr-132	85	18	a+b	a+b	NUM
abr-132	85	19	=	=	NUM
abr-132	85	20	0.5	0.5	NUM
abr-132	85	21	.	.	PUNCT
abr-132	86	1	(	(	PUNCT
abr-132	86	2	eq	eq	NOUN
abr-132	86	3	.	.	PROPN
abr-132	86	4	1	1	NUM
abr-132	86	5	:	:	PUNCT
abr-132	86	6	α	α	NOUN
abr-132	86	7	=	=	SYM
abr-132	86	8	0.5	0.5	NUM
abr-132	86	9	and	and	CCONJ
abr-132	86	10	c	c	NOUN
abr-132	86	11	=	=	SYM
abr-132	86	12	1	1	X
abr-132	86	13	)	)	PUNCT
abr-132	86	14	the	the	DET
abr-132	86	15	hypothesis	hypothesis	NOUN
abr-132	86	16	is	be	AUX
abr-132	86	17	that	that	SCONJ
abr-132	86	18	using	use	VERB
abr-132	86	19	the	the	DET
abr-132	86	20	square	square	ADJ
abr-132	86	21	root	root	NOUN
abr-132	86	22	of	of	ADP
abr-132	86	23	income	income	NOUN
abr-132	86	24	instead	instead	ADV
abr-132	86	25	of	of	ADP
abr-132	86	26	the	the	DET
abr-132	86	27	simple	simple	ADJ
abr-132	86	28	dollar	dollar	NOUN
abr-132	86	29	value	value	NOUN
abr-132	86	30	is	be	AUX
abr-132	86	31	likely	likely	ADJ
abr-132	86	32	to	to	PART
abr-132	86	33	be	be	AUX
abr-132	86	34	a	a	DET
abr-132	86	35	better	well	ADJ
abr-132	86	36	proxy	proxy	NOUN
abr-132	86	37	for	for	ADP
abr-132	86	38	the	the	DET
abr-132	86	39	current	current	ADJ
abr-132	86	40	utility	utility	NOUN
abr-132	86	41	level	level	NOUN
abr-132	86	42	of	of	ADP
abr-132	86	43	a	a	DET
abr-132	86	44	country	country	NOUN
abr-132	86	45	's	's	PART
abr-132	86	46	average	average	ADJ
abr-132	86	47	(	(	PUNCT
abr-132	86	48	or	or	CCONJ
abr-132	86	49	median	median	ADJ
abr-132	86	50	)	)	PUNCT
abr-132	86	51	citizen	citizen	NOUN
abr-132	86	52	.	.	PUNCT
abr-132	87	1	this	this	PRON
abr-132	87	2	works	work	VERB
abr-132	87	3	because	because	SCONJ
abr-132	87	4	the	the	DET
abr-132	87	5	square	square	ADJ
abr-132	87	6	root	root	NOUN
abr-132	87	7	captures	capture	VERB
abr-132	87	8	the	the	DET
abr-132	87	9	effect	effect	NOUN
abr-132	87	10	of	of	ADP
abr-132	87	11	diminishing	diminish	VERB
abr-132	87	12	marginal	marginal	ADJ
abr-132	87	13	utility	utility	NOUN
abr-132	87	14	on	on	ADP
abr-132	87	15	income	income	NOUN
abr-132	87	16	.	.	PUNCT
abr-132	88	1	a	a	DET
abr-132	88	2	square	square	ADJ
abr-132	88	3	root	root	NOUN
abr-132	88	4	is	be	AUX
abr-132	88	5	adopted	adopt	VERB
abr-132	88	6	as	as	ADP
abr-132	88	7	a	a	DET
abr-132	88	8	parsimonious	parsimonious	ADJ
abr-132	88	9	choice	choice	NOUN
abr-132	88	10	in	in	ADP
abr-132	88	11	deriving	derive	VERB
abr-132	88	12	diminishing	diminish	VERB
abr-132	88	13	marginal	marginal	ADJ
abr-132	88	14	utility	utility	NOUN
abr-132	88	15	.	.	PUNCT
abr-132	89	1	in	in	ADP
abr-132	89	2	addition	addition	NOUN
abr-132	89	3	to	to	ADP
abr-132	89	4	the	the	DET
abr-132	89	5	question	question	NOUN
abr-132	89	6	of	of	ADP
abr-132	89	7	whether	whether	SCONJ
abr-132	89	8	or	or	CCONJ
abr-132	89	9	not	not	PART
abr-132	89	10	to	to	PART
abr-132	89	11	use	use	VERB
abr-132	89	12	simple	simple	ADJ
abr-132	89	13	income	income	NOUN
abr-132	89	14	or	or	CCONJ
abr-132	89	15	a	a	DET
abr-132	89	16	utility	utility	NOUN
abr-132	89	17	proxy	proxy	NOUN
abr-132	89	18	that	that	PRON
abr-132	89	19	assumes	assume	VERB
abr-132	89	20	diminishing	diminish	VERB
abr-132	89	21	marginal	marginal	ADJ
abr-132	89	22	utility	utility	NOUN
abr-132	89	23	of	of	ADP
abr-132	89	24	income	income	NOUN
abr-132	89	25	,	,	PUNCT
abr-132	89	26	there	there	PRON
abr-132	89	27	is	be	VERB
abr-132	89	28	also	also	ADV
abr-132	89	29	the	the	DET
abr-132	89	30	question	question	NOUN
abr-132	89	31	of	of	ADP
abr-132	89	32	which	which	DET
abr-132	89	33	measure	measure	NOUN
abr-132	89	34	of	of	ADP
abr-132	89	35	central	central	ADJ
abr-132	89	36	tendency	tendency	NOUN
abr-132	89	37	for	for	SCONJ
abr-132	89	38	income	income	NOUN
abr-132	89	39	in	in	ADP
abr-132	89	40	a	a	DET
abr-132	89	41	country	country	NOUN
abr-132	89	42	should	should	AUX
abr-132	89	43	be	be	AUX
abr-132	89	44	used	use	VERB
abr-132	89	45	to	to	PART
abr-132	89	46	calculate	calculate	VERB
abr-132	89	47	the	the	DET
abr-132	89	48	marginal	marginal	ADJ
abr-132	89	49	utility	utility	NOUN
abr-132	89	50	from	from	ADP
abr-132	89	51	software	software	NOUN
abr-132	89	52	piracy	piracy	NOUN
abr-132	89	53	.	.	PUNCT
abr-132	90	1	because	because	SCONJ
abr-132	90	2	income	income	NOUN
abr-132	90	3	tends	tend	VERB
abr-132	90	4	to	to	PART
abr-132	90	5	be	be	AUX
abr-132	90	6	highly	highly	ADV
abr-132	90	7	skewed	skewed	ADJ
abr-132	90	8	,	,	PUNCT
abr-132	90	9	median	median	ADJ
abr-132	90	10	income	income	NOUN
abr-132	90	11	is	be	AUX
abr-132	90	12	often	often	ADV
abr-132	90	13	used	use	VERB
abr-132	90	14	to	to	PART
abr-132	90	15	better	well	ADV
abr-132	90	16	gauge	gauge	VERB
abr-132	90	17	the	the	DET
abr-132	90	18	economic	economic	ADJ
abr-132	90	19	position	position	NOUN
abr-132	90	20	of	of	ADP
abr-132	90	21	a	a	DET
abr-132	90	22	country	country	NOUN
abr-132	90	23	's	's	PART
abr-132	90	24	typical	typical	ADJ
abr-132	90	25	citizen	citizen	NOUN
abr-132	90	26	than	than	SCONJ
abr-132	90	27	is	be	AUX
abr-132	90	28	mean	mean	ADJ
abr-132	90	29	income	income	NOUN
abr-132	90	30	.	.	PUNCT
abr-132	91	1	that	that	PRON
abr-132	91	2	is	be	AUX
abr-132	91	3	the	the	DET
abr-132	91	4	hypothesis	hypothesis	NOUN
abr-132	91	5	in	in	ADP
abr-132	91	6	this	this	DET
abr-132	91	7	paper	paper	NOUN
abr-132	91	8	.	.	PUNCT
abr-132	92	1	however	however	ADV
abr-132	92	2	,	,	PUNCT
abr-132	92	3	it	it	PRON
abr-132	92	4	should	should	AUX
abr-132	92	5	be	be	AUX
abr-132	92	6	noted	note	VERB
abr-132	92	7	that	that	SCONJ
abr-132	92	8	it	it	PRON
abr-132	92	9	is	be	AUX
abr-132	92	10	technically	technically	ADV
abr-132	92	11	possible	possible	ADJ
abr-132	92	12	that	that	SCONJ
abr-132	92	13	using	use	VERB
abr-132	92	14	mean	mean	ADJ
abr-132	92	15	income	income	NOUN
abr-132	92	16	could	could	AUX
abr-132	92	17	serve	serve	VERB
abr-132	92	18	to	to	PART
abr-132	92	19	better	well	ADV
abr-132	92	20	represent	represent	VERB
abr-132	92	21	the	the	DET
abr-132	92	22	economic	economic	ADJ
abr-132	92	23	position	position	NOUN
abr-132	92	24	of	of	ADP
abr-132	92	25	software	software	NOUN
abr-132	92	26	users	user	NOUN
abr-132	92	27	(	(	PUNCT
abr-132	92	28	weighted	weight	VERB
abr-132	92	29	by	by	ADP
abr-132	92	30	the	the	DET
abr-132	92	31	amount	amount	NOUN
abr-132	92	32	of	of	ADP
abr-132	92	33	software	software	NOUN
abr-132	92	34	they	they	PRON
abr-132	92	35	use	use	VERB
abr-132	92	36	)	)	PUNCT
abr-132	92	37	as	as	SCONJ
abr-132	92	38	compared	compare	VERB
abr-132	92	39	to	to	ADP
abr-132	92	40	median	median	ADJ
abr-132	92	41	income	income	NOUN
abr-132	92	42	.	.	PUNCT
abr-132	93	1	that	that	PRON
abr-132	93	2	is	be	AUX
abr-132	93	3	because	because	SCONJ
abr-132	93	4	in	in	ADP
abr-132	93	5	many	many	ADJ
abr-132	93	6	low	low	ADJ
abr-132	93	7	-	-	PUNCT
abr-132	93	8	income	income	NOUN
abr-132	93	9	countries	country	NOUN
abr-132	93	10	a	a	DET
abr-132	93	11	large	large	ADJ
abr-132	93	12	fraction	fraction	NOUN
abr-132	93	13	of	of	ADP
abr-132	93	14	the	the	DET
abr-132	93	15	population	population	NOUN
abr-132	93	16	does	do	AUX
abr-132	93	17	not	not	PART
abr-132	93	18	use	use	VERB
abr-132	93	19	software	software	NOUN
abr-132	93	20	in	in	ADP
abr-132	93	21	the	the	DET
abr-132	93	22	first	first	ADJ
abr-132	93	23	place	place	NOUN
abr-132	93	24	.	.	PUNCT
abr-132	94	1	therefore	therefore	ADV
abr-132	94	2	,	,	PUNCT
abr-132	94	3	as	as	SCONJ
abr-132	94	4	their	their	PRON
abr-132	94	5	inclusion	inclusion	NOUN
abr-132	94	6	at	at	ADP
abr-132	94	7	the	the	DET
abr-132	94	8	low	low	ADJ
abr-132	94	9	end	end	NOUN
abr-132	94	10	of	of	ADP
abr-132	94	11	the	the	DET
abr-132	94	12	distribution	distribution	NOUN
abr-132	94	13	pushes	push	VERB
abr-132	94	14	down	down	ADP
abr-132	94	15	both	both	CCONJ
abr-132	94	16	the	the	DET
abr-132	94	17	median	median	NOUN
abr-132	94	18	and	and	CCONJ
abr-132	94	19	mean	mean	VERB
abr-132	94	20	,	,	PUNCT
abr-132	94	21	it	it	PRON
abr-132	94	22	could	could	AUX
abr-132	94	23	lead	lead	VERB
abr-132	94	24	to	to	ADP
abr-132	94	25	a	a	DET
abr-132	94	26	situation	situation	NOUN
abr-132	94	27	where	where	SCONJ
abr-132	94	28	mean	mean	ADJ
abr-132	94	29	income	income	NOUN
abr-132	94	30	for	for	ADP
abr-132	94	31	all	all	DET
abr-132	94	32	citizens	citizen	NOUN
abr-132	94	33	is	be	AUX
abr-132	94	34	actually	actually	ADV
abr-132	94	35	closer	close	ADJ
abr-132	94	36	to	to	ADP
abr-132	94	37	the	the	DET
abr-132	94	38	median	median	ADJ
abr-132	94	39	software	software	NOUN
abr-132	94	40	user	user	NOUN
abr-132	94	41	's	's	PART
abr-132	94	42	income	income	NOUN
abr-132	94	43	than	than	SCONJ
abr-132	94	44	is	be	AUX
abr-132	94	45	the	the	DET
abr-132	94	46	median	median	ADJ
abr-132	94	47	income	income	NOUN
abr-132	94	48	of	of	ADP
abr-132	94	49	all	all	DET
abr-132	94	50	citizens	citizen	NOUN
abr-132	94	51	.	.	PUNCT
abr-132	95	1	unfortunately	unfortunately	ADV
abr-132	95	2	,	,	PUNCT
abr-132	95	3	country	country	NOUN
abr-132	95	4	-	-	PUNCT
abr-132	95	5	by	by	ADP
abr-132	95	6	-	-	PUNCT
abr-132	95	7	country	country	NOUN
abr-132	95	8	data	datum	NOUN
abr-132	95	9	does	do	AUX
abr-132	95	10	not	not	PART
abr-132	95	11	exist	exist	VERB
abr-132	95	12	on	on	ADP
abr-132	95	13	the	the	DET
abr-132	95	14	incomes	income	NOUN
abr-132	95	15	of	of	ADP
abr-132	95	16	software	software	NOUN
abr-132	95	17	users	user	NOUN
abr-132	95	18	only	only	ADV
abr-132	95	19	,	,	PUNCT
abr-132	95	20	which	which	PRON
abr-132	95	21	would	would	AUX
abr-132	95	22	be	be	AUX
abr-132	95	23	the	the	DET
abr-132	95	24	ideal	ideal	ADJ
abr-132	95	25	income	income	NOUN
abr-132	95	26	metric	metric	ADJ
abr-132	95	27	.	.	PUNCT
abr-132	96	1	kyper	kyper	NOUN
abr-132	96	2	55	55	NUM
abr-132	96	3	while	while	SCONJ
abr-132	96	4	the	the	DET
abr-132	96	5	benefit	benefit	NOUN
abr-132	96	6	of	of	ADP
abr-132	96	7	increasing	increase	VERB
abr-132	96	8	disposable	disposable	ADJ
abr-132	96	9	income	income	NOUN
abr-132	96	10	(	(	PUNCT
abr-132	96	11	and	and	CCONJ
abr-132	96	12	thereby	thereby	ADV
abr-132	96	13	utility	utility	NOUN
abr-132	96	14	)	)	PUNCT
abr-132	96	15	from	from	ADP
abr-132	96	16	software	software	NOUN
abr-132	96	17	piracy	piracy	NOUN
abr-132	96	18	exists	exist	VERB
abr-132	96	19	,	,	PUNCT
abr-132	96	20	engaging	engage	VERB
abr-132	96	21	in	in	ADP
abr-132	96	22	software	software	NOUN
abr-132	96	23	piracy	piracy	NOUN
abr-132	96	24	is	be	AUX
abr-132	96	25	not	not	PART
abr-132	96	26	costless	costless	ADJ
abr-132	96	27	,	,	PUNCT
abr-132	96	28	and	and	CCONJ
abr-132	96	29	the	the	DET
abr-132	96	30	costs	cost	NOUN
abr-132	96	31	vary	vary	VERB
abr-132	96	32	across	across	ADP
abr-132	96	33	countries	country	NOUN
abr-132	96	34	.	.	PUNCT
abr-132	97	1	like	like	ADP
abr-132	97	2	any	any	DET
abr-132	97	3	crime	crime	NOUN
abr-132	97	4	,	,	PUNCT
abr-132	97	5	there	there	PRON
abr-132	97	6	is	be	VERB
abr-132	97	7	always	always	ADV
abr-132	97	8	the	the	DET
abr-132	97	9	possibility	possibility	NOUN
abr-132	97	10	of	of	ADP
abr-132	97	11	getting	getting	AUX
abr-132	97	12	caught	catch	VERB
abr-132	97	13	and	and	CCONJ
abr-132	97	14	facing	face	VERB
abr-132	97	15	civil	civil	ADJ
abr-132	97	16	or	or	CCONJ
abr-132	97	17	criminal	criminal	ADJ
abr-132	97	18	consequences	consequence	NOUN
abr-132	97	19	.	.	PUNCT
abr-132	98	1	therefore	therefore	ADV
abr-132	98	2	,	,	PUNCT
abr-132	98	3	in	in	ADP
abr-132	98	4	those	those	DET
abr-132	98	5	countries	country	NOUN
abr-132	98	6	with	with	ADP
abr-132	98	7	greater	great	ADJ
abr-132	98	8	enforcement	enforcement	NOUN
abr-132	98	9	of	of	ADP
abr-132	98	10	piracy	piracy	NOUN
abr-132	98	11	laws	law	NOUN
abr-132	98	12	and	and	CCONJ
abr-132	98	13	tougher	tough	ADJ
abr-132	98	14	penalties	penalty	NOUN
abr-132	98	15	for	for	ADP
abr-132	98	16	piracy	piracy	NOUN
abr-132	98	17	the	the	DET
abr-132	98	18	expected	expect	VERB
abr-132	98	19	cost	cost	NOUN
abr-132	98	20	of	of	ADP
abr-132	98	21	piracy	piracy	NOUN
abr-132	98	22	is	be	AUX
abr-132	98	23	higher	high	ADJ
abr-132	98	24	.	.	PUNCT
abr-132	99	1	in	in	ADP
abr-132	99	2	order	order	NOUN
abr-132	99	3	to	to	PART
abr-132	99	4	account	account	VERB
abr-132	99	5	for	for	ADP
abr-132	99	6	this	this	PRON
abr-132	99	7	,	,	PUNCT
abr-132	99	8	the	the	DET
abr-132	99	9	study	study	NOUN
abr-132	99	10	includes	include	VERB
abr-132	99	11	a	a	DET
abr-132	99	12	measure	measure	NOUN
abr-132	99	13	of	of	ADP
abr-132	99	14	intellectual	intellectual	ADJ
abr-132	99	15	property	property	NOUN
abr-132	99	16	protection	protection	NOUN
abr-132	99	17	across	across	ADP
abr-132	99	18	countries	country	NOUN
abr-132	99	19	,	,	PUNCT
abr-132	99	20	as	as	SCONJ
abr-132	99	21	perceived	perceive	VERB
abr-132	99	22	by	by	ADP
abr-132	99	23	global	global	ADJ
abr-132	99	24	business	business	NOUN
abr-132	99	25	leaders	leader	NOUN
abr-132	99	26	.	.	PUNCT
abr-132	100	1	just	just	ADV
abr-132	100	2	like	like	ADP
abr-132	100	3	any	any	DET
abr-132	100	4	type	type	NOUN
abr-132	100	5	of	of	ADP
abr-132	100	6	theft	theft	NOUN
abr-132	100	7	,	,	PUNCT
abr-132	100	8	there	there	PRON
abr-132	100	9	are	be	VERB
abr-132	100	10	personal	personal	ADJ
abr-132	100	11	and	and	CCONJ
abr-132	100	12	social	social	ADJ
abr-132	100	13	costs	cost	NOUN
abr-132	100	14	of	of	ADP
abr-132	100	15	piracy	piracy	NOUN
abr-132	100	16	.	.	PUNCT
abr-132	101	1	regardless	regardless	ADV
abr-132	101	2	of	of	ADP
abr-132	101	3	whether	whether	SCONJ
abr-132	101	4	or	or	CCONJ
abr-132	101	5	not	not	PART
abr-132	101	6	an	an	DET
abr-132	101	7	individual	individual	NOUN
abr-132	101	8	believes	believe	VERB
abr-132	101	9	he	he	PRON
abr-132	101	10	/	/	PUNCT
abr-132	102	1	she	she	PRON
abr-132	102	2	will	will	AUX
abr-132	102	3	get	get	AUX
abr-132	102	4	caught	catch	VERB
abr-132	102	5	by	by	ADP
abr-132	102	6	the	the	DET
abr-132	102	7	authorities	authority	NOUN
abr-132	102	8	,	,	PUNCT
abr-132	102	9	an	an	DET
abr-132	102	10	individual	individual	NOUN
abr-132	102	11	may	may	AUX
abr-132	102	12	simply	simply	ADV
abr-132	102	13	feel	feel	VERB
abr-132	102	14	personally	personally	ADV
abr-132	102	15	guilty	guilty	ADJ
abr-132	102	16	for	for	ADP
abr-132	102	17	stealing	steal	VERB
abr-132	102	18	software	software	NOUN
abr-132	102	19	.	.	PUNCT
abr-132	103	1	those	those	PRON
abr-132	103	2	who	who	PRON
abr-132	103	3	believe	believe	VERB
abr-132	103	4	that	that	DET
abr-132	103	5	piracy	piracy	NOUN
abr-132	103	6	is	be	AUX
abr-132	103	7	the	the	DET
abr-132	103	8	immoral	immoral	ADJ
abr-132	103	9	stealing	stealing	NOUN
abr-132	103	10	of	of	ADP
abr-132	103	11	another	another	DET
abr-132	103	12	’s	’s	PART
abr-132	103	13	work	work	NOUN
abr-132	103	14	are	be	AUX
abr-132	103	15	likely	likely	ADJ
abr-132	103	16	to	to	PART
abr-132	103	17	place	place	VERB
abr-132	103	18	a	a	DET
abr-132	103	19	higher	high	ADJ
abr-132	103	20	value	value	NOUN
abr-132	103	21	on	on	ADP
abr-132	103	22	the	the	DET
abr-132	103	23	individual	individual	ADJ
abr-132	103	24	contribution	contribution	NOUN
abr-132	103	25	of	of	ADP
abr-132	103	26	that	that	DET
abr-132	103	27	person	person	NOUN
abr-132	103	28	or	or	CCONJ
abr-132	103	29	firm	firm	NOUN
abr-132	103	30	.	.	PUNCT
abr-132	104	1	in	in	ADP
abr-132	104	2	terms	term	NOUN
abr-132	104	3	of	of	ADP
abr-132	104	4	an	an	DET
abr-132	104	5	individualist	individualist	ADJ
abr-132	104	6	-	-	PUNCT
abr-132	104	7	collectivist	collectivist	NOUN
abr-132	104	8	spectrum	spectrum	NOUN
abr-132	104	9	,	,	PUNCT
abr-132	104	10	these	these	DET
abr-132	104	11	people	people	NOUN
abr-132	104	12	would	would	AUX
abr-132	104	13	lean	lean	VERB
abr-132	104	14	towards	towards	ADP
abr-132	104	15	the	the	DET
abr-132	104	16	individualist	individualist	ADJ
abr-132	104	17	side	side	NOUN
abr-132	104	18	.	.	PUNCT
abr-132	105	1	on	on	ADP
abr-132	105	2	the	the	DET
abr-132	105	3	other	other	ADJ
abr-132	105	4	hand	hand	NOUN
abr-132	105	5	,	,	PUNCT
abr-132	105	6	those	those	PRON
abr-132	105	7	who	who	PRON
abr-132	105	8	place	place	VERB
abr-132	105	9	little	little	ADJ
abr-132	105	10	emphasis	emphasis	NOUN
abr-132	105	11	on	on	ADP
abr-132	105	12	the	the	DET
abr-132	105	13	past	past	ADJ
abr-132	105	14	contributions	contribution	NOUN
abr-132	105	15	of	of	ADP
abr-132	105	16	the	the	DET
abr-132	105	17	original	original	ADJ
abr-132	105	18	piracy	piracy	NOUN
abr-132	105	19	designer	designer	NOUN
abr-132	105	20	and	and	CCONJ
abr-132	105	21	instead	instead	ADV
abr-132	105	22	place	place	VERB
abr-132	105	23	a	a	DET
abr-132	105	24	greater	great	ADJ
abr-132	105	25	emphasis	emphasis	NOUN
abr-132	105	26	on	on	ADP
abr-132	105	27	the	the	DET
abr-132	105	28	usefulness	usefulness	NOUN
abr-132	105	29	of	of	ADP
abr-132	105	30	that	that	DET
abr-132	105	31	software	software	NOUN
abr-132	105	32	to	to	ADP
abr-132	105	33	overall	overall	ADJ
abr-132	105	34	society	society	NOUN
abr-132	105	35	would	would	AUX
abr-132	105	36	lean	lean	VERB
abr-132	105	37	towards	towards	ADP
abr-132	105	38	the	the	DET
abr-132	105	39	collectivist	collectivist	ADJ
abr-132	105	40	side	side	NOUN
abr-132	105	41	(	(	PUNCT
abr-132	105	42	this	this	PRON
abr-132	105	43	is	be	AUX
abr-132	105	44	represented	represent	VERB
abr-132	105	45	by	by	ADP
abr-132	105	46	hofstede	hofstede	PROPN
abr-132	105	47	’s	’s	PART
abr-132	105	48	indices	index	NOUN
abr-132	105	49	)	)	PUNCT
abr-132	105	50	.	.	PUNCT
abr-132	106	1	even	even	ADV
abr-132	106	2	beyond	beyond	ADP
abr-132	106	3	the	the	DET
abr-132	106	4	question	question	NOUN
abr-132	106	5	of	of	ADP
abr-132	106	6	one	one	NUM
abr-132	106	7	’s	’s	PART
abr-132	106	8	own	own	ADJ
abr-132	106	9	personal	personal	ADJ
abr-132	106	10	viewpoint	viewpoint	NOUN
abr-132	106	11	on	on	ADP
abr-132	106	12	the	the	DET
abr-132	106	13	ethics	ethic	NOUN
abr-132	106	14	of	of	ADP
abr-132	106	15	software	software	NOUN
abr-132	106	16	piracy	piracy	NOUN
abr-132	106	17	,	,	PUNCT
abr-132	106	18	that	that	DET
abr-132	106	19	person	person	NOUN
abr-132	106	20	may	may	AUX
abr-132	106	21	also	also	ADV
abr-132	106	22	be	be	AUX
abr-132	106	23	influenced	influence	VERB
abr-132	106	24	by	by	ADP
abr-132	106	25	the	the	DET
abr-132	106	26	views	view	NOUN
abr-132	106	27	of	of	ADP
abr-132	106	28	his	his	PRON
abr-132	106	29	/	/	SYM
abr-132	106	30	her	her	PRON
abr-132	106	31	peers	peer	NOUN
abr-132	106	32	on	on	ADP
abr-132	106	33	whether	whether	SCONJ
abr-132	106	34	or	or	CCONJ
abr-132	106	35	not	not	PART
abr-132	106	36	it	it	PRON
abr-132	106	37	is	be	AUX
abr-132	106	38	acceptable	acceptable	ADJ
abr-132	106	39	to	to	PART
abr-132	106	40	engage	engage	VERB
abr-132	106	41	in	in	ADP
abr-132	106	42	software	software	NOUN
abr-132	106	43	piracy	piracy	NOUN
abr-132	106	44	.	.	PUNCT
abr-132	107	1	therefore	therefore	ADV
abr-132	107	2	,	,	PUNCT
abr-132	107	3	he	he	PRON
abr-132	107	4	/	/	PUNCT
abr-132	107	5	she	she	PRON
abr-132	107	6	would	would	AUX
abr-132	107	7	be	be	AUX
abr-132	107	8	influenced	influence	VERB
abr-132	107	9	by	by	ADP
abr-132	107	10	the	the	DET
abr-132	107	11	overall	overall	ADJ
abr-132	107	12	country	country	NOUN
abr-132	107	13	’s	’s	PART
abr-132	107	14	attitude	attitude	NOUN
abr-132	107	15	towards	towards	ADP
abr-132	107	16	individualism	individualism	NOUN
abr-132	107	17	-	-	PUNCT
abr-132	107	18	collectivism	collectivism	NOUN
abr-132	107	19	.	.	PUNCT
abr-132	108	1	the	the	DET
abr-132	108	2	existence	existence	NOUN
abr-132	108	3	of	of	ADP
abr-132	108	4	these	these	DET
abr-132	108	5	personal	personal	ADJ
abr-132	108	6	moral	moral	ADJ
abr-132	108	7	and	and	CCONJ
abr-132	108	8	social	social	ADJ
abr-132	108	9	peer	peer	NOUN
abr-132	108	10	-	-	PUNCT
abr-132	108	11	pressure	pressure	NOUN
abr-132	108	12	costs	cost	NOUN
abr-132	108	13	of	of	ADP
abr-132	108	14	piracy	piracy	NOUN
abr-132	108	15	is	be	AUX
abr-132	108	16	the	the	DET
abr-132	108	17	theoretical	theoretical	ADJ
abr-132	108	18	justification	justification	NOUN
abr-132	108	19	for	for	ADP
abr-132	108	20	using	use	VERB
abr-132	108	21	hofstede	hofstede	NOUN
abr-132	108	22	’s	’s	PART
abr-132	108	23	individualismcollectivism	individualismcollectivism	NOUN
abr-132	108	24	index	index	NOUN
abr-132	108	25	in	in	ADP
abr-132	108	26	the	the	DET
abr-132	108	27	analysis	analysis	NOUN
abr-132	108	28	.	.	PUNCT
abr-132	109	1	similar	similar	ADJ
abr-132	109	2	to	to	ADP
abr-132	109	3	the	the	DET
abr-132	109	4	individualist	individualist	ADJ
abr-132	109	5	-	-	PUNCT
abr-132	109	6	collectivist	collectivist	NOUN
abr-132	109	7	question	question	NOUN
abr-132	109	8	,	,	PUNCT
abr-132	109	9	a	a	DET
abr-132	109	10	country	country	NOUN
abr-132	109	11	’s	’s	PART
abr-132	109	12	level	level	NOUN
abr-132	109	13	of	of	ADP
abr-132	109	14	corruption	corruption	NOUN
abr-132	109	15	may	may	AUX
abr-132	109	16	also	also	ADV
abr-132	109	17	influence	influence	VERB
abr-132	109	18	a	a	DET
abr-132	109	19	person	person	NOUN
abr-132	109	20	’s	’s	PART
abr-132	109	21	cost	cost	NOUN
abr-132	109	22	-	-	PUNCT
abr-132	109	23	benefit	benefit	NOUN
abr-132	109	24	analysis	analysis	NOUN
abr-132	109	25	for	for	ADP
abr-132	109	26	whether	whether	SCONJ
abr-132	109	27	or	or	CCONJ
abr-132	109	28	not	not	PART
abr-132	109	29	to	to	PART
abr-132	109	30	engage	engage	VERB
abr-132	109	31	in	in	ADP
abr-132	109	32	software	software	NOUN
abr-132	109	33	piracy	piracy	NOUN
abr-132	109	34	.	.	PUNCT
abr-132	110	1	if	if	SCONJ
abr-132	110	2	a	a	DET
abr-132	110	3	country	country	NOUN
abr-132	110	4	is	be	AUX
abr-132	110	5	perceived	perceive	VERB
abr-132	110	6	by	by	ADP
abr-132	110	7	its	its	PRON
abr-132	110	8	citizens	citizen	NOUN
abr-132	110	9	as	as	ADP
abr-132	110	10	having	have	VERB
abr-132	110	11	a	a	DET
abr-132	110	12	culture	culture	NOUN
abr-132	110	13	of	of	ADP
abr-132	110	14	corruption	corruption	NOUN
abr-132	110	15	,	,	PUNCT
abr-132	110	16	there	there	PRON
abr-132	110	17	is	be	VERB
abr-132	110	18	likely	likely	ADJ
abr-132	110	19	to	to	PART
abr-132	110	20	be	be	AUX
abr-132	110	21	lower	low	ADJ
abr-132	110	22	peerpressure	peerpressure	NOUN
abr-132	110	23	costs	cost	NOUN
abr-132	110	24	from	from	ADP
abr-132	110	25	engaging	engage	VERB
abr-132	110	26	in	in	ADP
abr-132	110	27	piracy	piracy	NOUN
abr-132	110	28	.	.	PUNCT
abr-132	111	1	this	this	PRON
abr-132	111	2	is	be	AUX
abr-132	111	3	likely	likely	ADJ
abr-132	111	4	to	to	PART
abr-132	111	5	be	be	AUX
abr-132	111	6	highly	highly	ADV
abr-132	111	7	correlated	correlate	VERB
abr-132	111	8	with	with	ADP
abr-132	111	9	intellectual	intellectual	ADJ
abr-132	111	10	property	property	NOUN
abr-132	111	11	protection	protection	NOUN
abr-132	111	12	(	(	PUNCT
abr-132	111	13	ipp	ipp	PROPN
abr-132	111	14	)	)	PUNCT
abr-132	111	15	,	,	PUNCT
abr-132	111	16	which	which	PRON
abr-132	111	17	is	be	AUX
abr-132	111	18	a	a	DET
abr-132	111	19	legal	legal	ADJ
abr-132	111	20	issue	issue	NOUN
abr-132	111	21	,	,	PUNCT
abr-132	111	22	but	but	CCONJ
abr-132	111	23	it	it	PRON
abr-132	111	24	does	do	AUX
abr-132	111	25	add	add	VERB
abr-132	111	26	some	some	DET
abr-132	111	27	information	information	NOUN
abr-132	111	28	.	.	PUNCT
abr-132	112	1	suppose	suppose	VERB
abr-132	112	2	two	two	NUM
abr-132	112	3	countries	country	NOUN
abr-132	112	4	have	have	VERB
abr-132	112	5	similar	similar	ADJ
abr-132	112	6	degrees	degree	NOUN
abr-132	112	7	of	of	ADP
abr-132	112	8	ipp	ipp	NOUN
abr-132	112	9	but	but	CCONJ
abr-132	112	10	one	one	NOUN
abr-132	112	11	is	be	AUX
abr-132	112	12	rated	rate	VERB
abr-132	112	13	as	as	ADP
abr-132	112	14	more	more	ADV
abr-132	112	15	corrupt	corrupt	ADJ
abr-132	112	16	than	than	ADP
abr-132	112	17	the	the	DET
abr-132	112	18	other	other	ADJ
abr-132	112	19	.	.	PUNCT
abr-132	113	1	the	the	DET
abr-132	113	2	individual	individual	NOUN
abr-132	113	3	in	in	ADP
abr-132	113	4	the	the	DET
abr-132	113	5	corrupt	corrupt	ADJ
abr-132	113	6	country	country	NOUN
abr-132	113	7	may	may	AUX
abr-132	113	8	feel	feel	VERB
abr-132	113	9	as	as	SCONJ
abr-132	113	10	though	though	SCONJ
abr-132	113	11	engaging	engage	VERB
abr-132	113	12	in	in	ADP
abr-132	113	13	illegal	illegal	ADJ
abr-132	113	14	activity	activity	NOUN
abr-132	113	15	generally	generally	ADV
abr-132	113	16	comes	come	VERB
abr-132	113	17	with	with	ADP
abr-132	113	18	less	less	ADV
abr-132	113	19	social	social	ADJ
abr-132	113	20	backlash	backlash	NOUN
abr-132	113	21	than	than	ADP
abr-132	113	22	the	the	DET
abr-132	113	23	individual	individual	NOUN
abr-132	113	24	in	in	ADP
abr-132	113	25	the	the	DET
abr-132	113	26	less	less	ADV
abr-132	113	27	corrupt	corrupt	ADJ
abr-132	113	28	country	country	NOUN
abr-132	113	29	even	even	ADV
abr-132	113	30	if	if	SCONJ
abr-132	113	31	the	the	DET
abr-132	113	32	expected	expect	VERB
abr-132	113	33	legal	legal	ADJ
abr-132	113	34	costs	cost	NOUN
abr-132	113	35	are	be	AUX
abr-132	113	36	the	the	DET
abr-132	113	37	same	same	ADJ
abr-132	113	38	.	.	PUNCT
abr-132	114	1	even	even	ADV
abr-132	114	2	though	though	SCONJ
abr-132	114	3	both	both	PRON
abr-132	114	4	income	income	NOUN
abr-132	114	5	and	and	CCONJ
abr-132	114	6	cultural	cultural	ADJ
abr-132	114	7	variables	variable	NOUN
abr-132	114	8	theoretically	theoretically	ADV
abr-132	114	9	impact	impact	VERB
abr-132	114	10	software	software	NOUN
abr-132	114	11	piracy	piracy	NOUN
abr-132	114	12	rates	rate	NOUN
abr-132	114	13	directly	directly	ADV
abr-132	114	14	,	,	PUNCT
abr-132	114	15	there	there	PRON
abr-132	114	16	is	be	VERB
abr-132	114	17	obviously	obviously	ADV
abr-132	114	18	a	a	DET
abr-132	114	19	high	high	ADJ
abr-132	114	20	degree	degree	NOUN
abr-132	114	21	of	of	ADP
abr-132	114	22	correlation	correlation	NOUN
abr-132	114	23	between	between	ADP
abr-132	114	24	income	income	NOUN
abr-132	114	25	and	and	CCONJ
abr-132	114	26	the	the	DET
abr-132	114	27	cultural	cultural	ADJ
abr-132	114	28	variables	variable	NOUN
abr-132	114	29	themselves	themselves	PRON
abr-132	114	30	.	.	PUNCT
abr-132	115	1	the	the	DET
abr-132	115	2	causation	causation	NOUN
abr-132	115	3	likely	likely	ADV
abr-132	115	4	goes	go	VERB
abr-132	115	5	both	both	DET
abr-132	115	6	ways	way	NOUN
abr-132	115	7	in	in	ADP
abr-132	115	8	some	some	DET
abr-132	115	9	cases	case	NOUN
abr-132	115	10	,	,	PUNCT
abr-132	115	11	such	such	ADJ
abr-132	115	12	as	as	ADP
abr-132	115	13	with	with	ADP
abr-132	115	14	corruption	corruption	NOUN
abr-132	115	15	and	and	CCONJ
abr-132	115	16	income	income	NOUN
abr-132	115	17	.	.	PUNCT
abr-132	116	1	this	this	DET
abr-132	116	2	issue	issue	NOUN
abr-132	116	3	is	be	AUX
abr-132	116	4	discussed	discuss	VERB
abr-132	116	5	in	in	ADP
abr-132	116	6	the	the	DET
abr-132	116	7	results	result	NOUN
abr-132	116	8	section	section	NOUN
abr-132	116	9	with	with	ADP
abr-132	116	10	a	a	DET
abr-132	116	11	collinearity	collinearity	NOUN
abr-132	116	12	matrix	matrix	NOUN
abr-132	116	13	of	of	ADP
abr-132	116	14	all	all	DET
abr-132	116	15	the	the	DET
abr-132	116	16	variables	variable	NOUN
abr-132	116	17	used	use	VERB
abr-132	116	18	.	.	PUNCT
abr-132	117	1	research	research	NOUN
abr-132	117	2	questions	question	NOUN
abr-132	117	3	and	and	CCONJ
abr-132	117	4	accompanying	accompany	VERB
abr-132	117	5	hypotheses	hypothesis	NOUN
abr-132	117	6	do	do	VERB
abr-132	117	7	alternative	alternative	ADJ
abr-132	117	8	income	income	NOUN
abr-132	117	9	measures	measure	NOUN
abr-132	117	10	better	well	ADV
abr-132	117	11	predict	predict	VERB
abr-132	117	12	national	national	ADJ
abr-132	117	13	software	software	NOUN
abr-132	117	14	piracy	piracy	NOUN
abr-132	117	15	rates	rate	NOUN
abr-132	117	16	than	than	ADP
abr-132	117	17	standard	standard	ADJ
abr-132	117	18	gdp	gdp	NOUN
abr-132	117	19	per	per	ADP
abr-132	117	20	capita	capita	NOUN
abr-132	117	21	?	?	PUNCT
abr-132	118	1	(	(	PUNCT
abr-132	118	2	appendix	appendix	NOUN
abr-132	118	3	b	b	X
abr-132	118	4	provides	provide	VERB
abr-132	118	5	the	the	DET
abr-132	118	6	regression	regression	NOUN
abr-132	118	7	models	model	NOUN
abr-132	118	8	used	use	VERB
abr-132	118	9	to	to	PART
abr-132	118	10	calculate	calculate	VERB
abr-132	118	11	r	r	NOUN
abr-132	118	12	in	in	ADP
abr-132	118	13	the	the	DET
abr-132	118	14	equations	equation	NOUN
abr-132	118	15	following	follow	VERB
abr-132	118	16	h1	h1	NOUN
abr-132	118	17	-	-	PUNCT
abr-132	118	18	h3	h3	NOUN
abr-132	118	19	)	)	PUNCT
abr-132	118	20	ho1	ho1	NOUN
abr-132	118	21	:	:	PUNCT
abr-132	118	22	mean	mean	PROPN
abr-132	118	23	gdp	gdp	NOUN
abr-132	118	24	per	per	ADP
abr-132	118	25	capita	capita	NOUN
abr-132	118	26	and	and	CCONJ
abr-132	118	27	square	square	ADJ
abr-132	118	28	root	root	NOUN
abr-132	118	29	of	of	ADP
abr-132	118	30	mean	mean	PROPN
abr-132	118	31	gdp	gdp	NOUN
abr-132	118	32	per	per	ADP
abr-132	118	33	capita	capita	X
abr-132	118	34	have	have	VERB
abr-132	118	35	the	the	DET
abr-132	118	36	same	same	ADJ
abr-132	118	37	predictive	predictive	ADJ
abr-132	118	38	power	power	NOUN
abr-132	118	39	of	of	ADP
abr-132	118	40	national	national	ADJ
abr-132	118	41	software	software	NOUN
abr-132	118	42	piracy	piracy	NOUN
abr-132	118	43	rates	rate	NOUN
abr-132	119	1	i.e.	i.e.	X
abr-132	119	2	r	r	NOUN
abr-132	119	3	(	(	PUNCT
abr-132	119	4	gdp	gdp	NOUN
abr-132	119	5	per	per	ADP
abr-132	119	6	capita	capita	NOUN
abr-132	119	7	)	)	PUNCT
abr-132	119	8	–	–	PUNCT
abr-132	119	9	r	r	NOUN
abr-132	119	10	(	(	PUNCT
abr-132	119	11	sq	sq	NOUN
abr-132	119	12	.	.	NOUN
abr-132	119	13	root	root	NOUN
abr-132	119	14	of	of	ADP
abr-132	119	15	mean	mean	PROPN
abr-132	119	16	gdp	gdp	NOUN
abr-132	119	17	)	)	PUNCT
abr-132	119	18	=	=	SYM
abr-132	119	19	0	0	NUM
abr-132	120	1	ho2	ho2	NOUN
abr-132	120	2	:	:	PUNCT
abr-132	120	3	mean	mean	VERB
abr-132	120	4	gdp	gdp	NOUN
abr-132	120	5	per	per	ADP
abr-132	120	6	capita	capita	NOUN
abr-132	120	7	and	and	CCONJ
abr-132	120	8	median	median	ADJ
abr-132	120	9	household	household	NOUN
abr-132	120	10	income	income	NOUN
abr-132	120	11	have	have	VERB
abr-132	120	12	the	the	DET
abr-132	120	13	same	same	ADJ
abr-132	120	14	predictive	predictive	ADJ
abr-132	120	15	power	power	NOUN
abr-132	120	16	of	of	ADP
abr-132	120	17	national	national	ADJ
abr-132	120	18	software	software	NOUN
abr-132	120	19	piracy	piracy	NOUN
abr-132	120	20	rates	rate	NOUN
abr-132	120	21	i.e.	i.e.	X
abr-132	120	22	r	r	NOUN
abr-132	120	23	(	(	PUNCT
abr-132	120	24	gdp	gdp	NOUN
abr-132	120	25	per	per	ADP
abr-132	120	26	capita	capita	NOUN
abr-132	120	27	)	)	PUNCT
abr-132	120	28	–	–	PUNCT
abr-132	120	29	r	r	NOUN
abr-132	120	30	(	(	PUNCT
abr-132	120	31	median	median	ADJ
abr-132	120	32	household	household	NOUN
abr-132	120	33	income	income	NOUN
abr-132	120	34	)	)	PUNCT
abr-132	120	35	=	=	SYM
abr-132	120	36	0	0	NUM
abr-132	120	37	ho3	ho3	NOUN
abr-132	120	38	:	:	PUNCT
abr-132	120	39	mean	mean	VERB
abr-132	120	40	gdp	gdp	NOUN
abr-132	120	41	per	per	ADP
abr-132	120	42	capita	capita	NOUN
abr-132	120	43	and	and	CCONJ
abr-132	120	44	square	square	ADJ
abr-132	120	45	root	root	NOUN
abr-132	120	46	of	of	ADP
abr-132	120	47	median	median	ADJ
abr-132	120	48	household	household	NOUN
abr-132	120	49	income	income	NOUN
abr-132	120	50	have	have	VERB
abr-132	120	51	the	the	DET
abr-132	120	52	same	same	ADJ
abr-132	120	53	predictive	predictive	ADJ
abr-132	120	54	power	power	NOUN
abr-132	120	55	of	of	ADP
abr-132	120	56	national	national	ADJ
abr-132	120	57	software	software	NOUN
abr-132	120	58	piracy	piracy	NOUN
abr-132	120	59	rates	rate	NOUN
abr-132	120	60	i.e.	i.e.	X
abr-132	120	61	r	r	NOUN
abr-132	120	62	(	(	PUNCT
abr-132	120	63	gdp	gdp	NOUN
abr-132	120	64	per	per	ADP
abr-132	120	65	capita	capita	NOUN
abr-132	120	66	)	)	PUNCT
abr-132	120	67	–	–	PUNCT
abr-132	120	68	r	r	NOUN
abr-132	120	69	(	(	PUNCT
abr-132	120	70	sq	sq	ADJ
abr-132	120	71	.	.	PROPN
abr-132	120	72	root	root	NOUN
abr-132	120	73	of	of	ADP
abr-132	120	74	median	median	ADJ
abr-132	120	75	household	household	NOUN
abr-132	120	76	income	income	NOUN
abr-132	120	77	)	)	PUNCT
abr-132	120	78	=	=	SYM
abr-132	120	79	0	0	NUM
abr-132	121	1	income	income	NOUN
abr-132	121	2	and	and	CCONJ
abr-132	121	3	national	national	ADJ
abr-132	121	4	software	software	NOUN
abr-132	121	5	piracy	piracy	NOUN
abr-132	121	6	56	56	NUM
abr-132	121	7	how	how	SCONJ
abr-132	121	8	does	do	AUX
abr-132	121	9	the	the	DET
abr-132	121	10	best	good	ADJ
abr-132	121	11	alternative	alternative	ADJ
abr-132	121	12	measure	measure	NOUN
abr-132	121	13	of	of	ADP
abr-132	121	14	income	income	NOUN
abr-132	121	15	behave	behave	VERB
abr-132	121	16	in	in	ADP
abr-132	121	17	the	the	DET
abr-132	121	18	presence	presence	NOUN
abr-132	121	19	of	of	ADP
abr-132	121	20	standard	standard	ADJ
abr-132	121	21	software	software	NOUN
abr-132	121	22	piracy	piracy	NOUN
abr-132	121	23	predictors	predictor	NOUN
abr-132	121	24	?	?	PUNCT
abr-132	122	1	ho4	ho4	NOUN
abr-132	122	2	:	:	PUNCT
abr-132	122	3	square	square	ADJ
abr-132	122	4	root	root	NOUN
abr-132	122	5	of	of	ADP
abr-132	122	6	income	income	NOUN
abr-132	122	7	does	do	AUX
abr-132	122	8	not	not	PART
abr-132	122	9	predict	predict	VERB
abr-132	122	10	software	software	NOUN
abr-132	122	11	piracy	piracy	NOUN
abr-132	122	12	ho5	ho5	NOUN
abr-132	122	13	:	:	PUNCT
abr-132	122	14	corruption	corruption	NOUN
abr-132	122	15	does	do	AUX
abr-132	122	16	not	not	PART
abr-132	122	17	predict	predict	VERB
abr-132	122	18	software	software	NOUN
abr-132	122	19	piracy	piracy	NOUN
abr-132	122	20	ho6	ho6	ADV
abr-132	122	21	:	:	PUNCT
abr-132	122	22	collectivism	collectivism	NOUN
abr-132	122	23	does	do	AUX
abr-132	122	24	not	not	PART
abr-132	122	25	predict	predict	VERB
abr-132	122	26	software	software	NOUN
abr-132	122	27	piracy	piracy	NOUN
abr-132	122	28	ho7	ho7	X
abr-132	122	29	:	:	PUNCT
abr-132	122	30	intellectual	intellectual	ADJ
abr-132	122	31	property	property	NOUN
abr-132	122	32	protection	protection	NOUN
abr-132	122	33	does	do	AUX
abr-132	122	34	not	not	PART
abr-132	122	35	predict	predict	VERB
abr-132	122	36	software	software	NOUN
abr-132	122	37	piracy	piracy	NOUN
abr-132	122	38	hypotheses	hypothese	VERB
abr-132	122	39	4	4	NUM
abr-132	122	40	-	-	SYM
abr-132	122	41	7	7	NUM
abr-132	122	42	are	be	AUX
abr-132	122	43	tested	test	VERB
abr-132	122	44	using	use	VERB
abr-132	122	45	the	the	DET
abr-132	122	46	following	follow	VERB
abr-132	122	47	regression	regression	NOUN
abr-132	122	48	model	model	NOUN
abr-132	122	49	software	software	NOUN
abr-132	122	50	piracy	piracy	NOUN
abr-132	122	51	=	=	SYM
abr-132	122	52	b0	b0	PROPN
abr-132	122	53	+	+	CCONJ
abr-132	122	54	b1	b1	NOUN
abr-132	122	55	corruption	corruption	NOUN
abr-132	122	56	index	index	NOUN
abr-132	122	57	+	+	CCONJ
abr-132	122	58	b2	b2	NOUN
abr-132	122	59	ipp	ipp	NOUN
abr-132	122	60	competitiveness	competitiveness	NOUN
abr-132	122	61	index	index	NOUN
abr-132	122	62	+	+	CCONJ
abr-132	122	63	b3	b3	NOUN
abr-132	122	64	collectivism	collectivism	NOUN
abr-132	122	65	index	index	NOUN
abr-132	122	66	+	+	CCONJ
abr-132	122	67	b4	b4	PROPN
abr-132	122	68	square	square	ADJ
abr-132	122	69	root	root	NOUN
abr-132	122	70	of	of	ADP
abr-132	122	71	median	median	ADJ
abr-132	122	72	household	household	NOUN
abr-132	122	73	income	income	NOUN
abr-132	122	74	+	+	CCONJ
abr-132	122	75	ε	ε	PROPN
abr-132	122	76	data	data	NOUN
abr-132	122	77	collection	collection	NOUN
abr-132	122	78	/	/	SYM
abr-132	122	79	analysis	analysis	NOUN
abr-132	122	80	to	to	PART
abr-132	122	81	examine	examine	VERB
abr-132	122	82	the	the	DET
abr-132	122	83	role	role	NOUN
abr-132	122	84	of	of	ADP
abr-132	122	85	income	income	NOUN
abr-132	122	86	in	in	ADP
abr-132	122	87	understanding	understand	VERB
abr-132	122	88	national	national	ADJ
abr-132	122	89	software	software	NOUN
abr-132	122	90	piracy	piracy	NOUN
abr-132	122	91	rates	rate	NOUN
abr-132	122	92	we	we	PRON
abr-132	122	93	collected	collect	VERB
abr-132	122	94	data	datum	NOUN
abr-132	122	95	from	from	ADP
abr-132	122	96	2006	2006	NUM
abr-132	122	97	to	to	ADP
abr-132	122	98	2013	2013	NUM
abr-132	122	99	for	for	ADP
abr-132	122	100	the	the	DET
abr-132	122	101	following	following	ADJ
abr-132	122	102	variables	variable	NOUN
abr-132	122	103	:	:	PUNCT
abr-132	122	104	bsa	bsa	PROPN
abr-132	122	105	’s	’s	PART
abr-132	122	106	national	national	PROPN
abr-132	122	107	software	software	NOUN
abr-132	122	108	piracy	piracy	NOUN
abr-132	122	109	rate	rate	NOUN
abr-132	122	110	(	(	PUNCT
abr-132	122	111	dependent	dependent	ADJ
abr-132	122	112	variable	variable	NOUN
abr-132	122	113	)	)	PUNCT
abr-132	122	114	,	,	PUNCT
abr-132	122	115	world	world	PROPN
abr-132	122	116	bank	bank	PROPN
abr-132	122	117	(	(	PUNCT
abr-132	122	118	gdp	gdp	NOUN
abr-132	122	119	per	per	ADP
abr-132	122	120	capita	capita	NOUN
abr-132	122	121	by	by	ADP
abr-132	122	122	country	country	NOUN
abr-132	122	123	ppp	ppp	PROPN
abr-132	122	124	adjusted	adjust	VERB
abr-132	122	125	,	,	PUNCT
abr-132	122	126	hoefstede	hoefstede	NOUN
abr-132	122	127	’s	’s	PART
abr-132	122	128	cultural	cultural	ADJ
abr-132	122	129	indices	index	NOUN
abr-132	122	130	(	(	PUNCT
abr-132	122	131	collectivism	collectivism	NOUN
abr-132	122	132	)	)	PUNCT
abr-132	122	133	,	,	PUNCT
abr-132	122	134	transparency	transparency	NOUN
abr-132	122	135	international	international	PROPN
abr-132	122	136	’s	’s	PART
abr-132	122	137	corruption	corruption	NOUN
abr-132	122	138	index	index	NOUN
abr-132	122	139	,	,	PUNCT
abr-132	122	140	the	the	DET
abr-132	122	141	world	world	PROPN
abr-132	122	142	economic	economic	PROPN
abr-132	122	143	forum	forum	PROPN
abr-132	122	144	’s	’s	PART
abr-132	122	145	global	global	ADJ
abr-132	122	146	competitiveness	competitiveness	NOUN
abr-132	122	147	report	report	NOUN
abr-132	122	148	(	(	PUNCT
abr-132	122	149	the	the	DET
abr-132	122	150	intellectual	intellectual	ADJ
abr-132	122	151	property	property	NOUN
abr-132	122	152	protection	protection	NOUN
abr-132	122	153	component	component	NOUN
abr-132	122	154	)	)	PUNCT
abr-132	122	155	,	,	PUNCT
abr-132	122	156	and	and	CCONJ
abr-132	122	157	median	median	ADJ
abr-132	122	158	household	household	NOUN
abr-132	122	159	income	income	NOUN
abr-132	122	160	from	from	ADP
abr-132	122	161	gallup	gallup	NOUN
abr-132	122	162	by	by	ADP
abr-132	122	163	country	country	NOUN
abr-132	122	164	(	(	PUNCT
abr-132	122	165	surveyed	survey	VERB
abr-132	122	166	between	between	ADP
abr-132	122	167	2006	2006	NUM
abr-132	122	168	and	and	CCONJ
abr-132	122	169	2012	2012	NUM
abr-132	122	170	)	)	PUNCT
abr-132	122	171	.	.	PUNCT
abr-132	123	1	there	there	PRON
abr-132	123	2	are	be	VERB
abr-132	123	3	108	108	NUM
abr-132	123	4	countries	country	NOUN
abr-132	123	5	for	for	ADP
abr-132	123	6	which	which	PRON
abr-132	123	7	software	software	NOUN
abr-132	123	8	piracy	piracy	NOUN
abr-132	123	9	data	datum	NOUN
abr-132	123	10	from	from	ADP
abr-132	123	11	bsa	bsa	PROPN
abr-132	123	12	exists	exist	VERB
abr-132	123	13	for	for	ADP
abr-132	123	14	2009	2009	NUM
abr-132	123	15	,	,	PUNCT
abr-132	123	16	which	which	PRON
abr-132	123	17	is	be	AUX
abr-132	123	18	the	the	DET
abr-132	123	19	year	year	NOUN
abr-132	123	20	of	of	ADP
abr-132	123	21	reference	reference	NOUN
abr-132	123	22	.	.	PUNCT
abr-132	124	1	of	of	ADP
abr-132	124	2	those	those	DET
abr-132	124	3	108	108	NUM
abr-132	124	4	countries	country	NOUN
abr-132	124	5	,	,	PUNCT
abr-132	124	6	98	98	NUM
abr-132	124	7	(	(	PUNCT
abr-132	124	8	91	91	NUM
abr-132	124	9	%	%	NOUN
abr-132	124	10	)	)	PUNCT
abr-132	124	11	have	have	VERB
abr-132	124	12	data	datum	NOUN
abr-132	124	13	for	for	ADP
abr-132	124	14	both	both	DET
abr-132	124	15	median	median	ADJ
abr-132	124	16	income	income	NOUN
abr-132	124	17	and	and	CCONJ
abr-132	124	18	gdp	gdp	NOUN
abr-132	124	19	per	per	ADP
abr-132	124	20	capita	capita	X
abr-132	124	21	(	(	PUNCT
abr-132	124	22	ppp	ppp	NOUN
abr-132	124	23	basis	basis	NOUN
abr-132	124	24	)	)	PUNCT
abr-132	124	25	.	.	PUNCT
abr-132	125	1	complete	complete	ADJ
abr-132	125	2	data	datum	NOUN
abr-132	125	3	of	of	ADP
abr-132	125	4	all	all	DET
abr-132	125	5	the	the	DET
abr-132	125	6	explanatory	explanatory	ADJ
abr-132	125	7	variables	variable	NOUN
abr-132	125	8	exists	exist	VERB
abr-132	125	9	for	for	ADP
abr-132	125	10	61	61	NUM
abr-132	125	11	countries	country	NOUN
abr-132	125	12	(	(	PUNCT
abr-132	125	13	see	see	VERB
abr-132	125	14	appendix	appendix	NOUN
abr-132	125	15	a	a	PRON
abr-132	125	16	)	)	PUNCT
abr-132	125	17	.	.	PUNCT
abr-132	126	1	the	the	DET
abr-132	126	2	37	37	NUM
abr-132	126	3	country	country	NOUN
abr-132	126	4	reduction	reduction	NOUN
abr-132	126	5	in	in	ADP
abr-132	126	6	full	full	ADJ
abr-132	126	7	country	country	NOUN
abr-132	126	8	coverage	coverage	NOUN
abr-132	126	9	is	be	AUX
abr-132	126	10	primarily	primarily	ADV
abr-132	126	11	due	due	ADJ
abr-132	126	12	to	to	ADP
abr-132	126	13	a	a	DET
abr-132	126	14	lack	lack	NOUN
abr-132	126	15	of	of	ADP
abr-132	126	16	coverage	coverage	NOUN
abr-132	126	17	in	in	ADP
abr-132	126	18	hoefstede	hoefstede	NOUN
abr-132	126	19	’s	’s	PART
abr-132	126	20	cultural	cultural	ADJ
abr-132	126	21	indexes	index	NOUN
abr-132	126	22	.	.	PUNCT
abr-132	127	1	the	the	DET
abr-132	127	2	dependent	dependent	ADJ
abr-132	127	3	variable	variable	NOUN
abr-132	127	4	is	be	AUX
abr-132	127	5	national	national	ADJ
abr-132	127	6	software	software	NOUN
abr-132	127	7	piracy	piracy	NOUN
abr-132	127	8	rate	rate	NOUN
abr-132	127	9	,	,	PUNCT
abr-132	127	10	collected	collect	VERB
abr-132	127	11	from	from	ADP
abr-132	127	12	the	the	DET
abr-132	127	13	bsa	bsa	PROPN
abr-132	127	14	global	global	PROPN
abr-132	127	15	software	software	PROPN
abr-132	127	16	survey	survey	NOUN
abr-132	127	17	.	.	PUNCT
abr-132	128	1	this	this	DET
abr-132	128	2	variable	variable	NOUN
abr-132	128	3	represents	represent	VERB
abr-132	128	4	the	the	DET
abr-132	128	5	percentage	percentage	NOUN
abr-132	128	6	of	of	ADP
abr-132	128	7	pirated	pirate	VERB
abr-132	128	8	software	software	NOUN
abr-132	128	9	installed	instal	VERB
abr-132	128	10	out	out	ADP
abr-132	128	11	of	of	ADP
abr-132	128	12	total	total	ADJ
abr-132	128	13	software	software	NOUN
abr-132	128	14	installed	instal	VERB
abr-132	128	15	.	.	PUNCT
abr-132	129	1	roughly	roughly	ADV
abr-132	129	2	this	this	PRON
abr-132	129	3	is	be	AUX
abr-132	129	4	calculated	calculate	VERB
abr-132	129	5	as	as	ADP
abr-132	129	6	the	the	DET
abr-132	129	7	difference	difference	NOUN
abr-132	129	8	between	between	ADP
abr-132	129	9	total	total	ADJ
abr-132	129	10	software	software	NOUN
abr-132	129	11	installed	instal	VERB
abr-132	129	12	(	(	PUNCT
abr-132	129	13	demand	demand	NOUN
abr-132	129	14	)	)	PUNCT
abr-132	129	15	and	and	CCONJ
abr-132	129	16	total	total	ADJ
abr-132	129	17	legal	legal	ADJ
abr-132	129	18	software	software	NOUN
abr-132	129	19	shipped	ship	VERB
abr-132	129	20	(	(	PUNCT
abr-132	129	21	supply	supply	NOUN
abr-132	129	22	)	)	PUNCT
abr-132	129	23	.	.	PUNCT
abr-132	130	1	the	the	DET
abr-132	130	2	software	software	NOUN
abr-132	130	3	alliance	alliance	NOUN
abr-132	130	4	(	(	PUNCT
abr-132	130	5	bsa	bsa	PROPN
abr-132	130	6	)	)	PUNCT
abr-132	130	7	is	be	AUX
abr-132	130	8	an	an	DET
abr-132	130	9	advocacy	advocacy	NOUN
abr-132	130	10	group	group	NOUN
abr-132	130	11	for	for	ADP
abr-132	130	12	software	software	NOUN
abr-132	130	13	producers	producer	NOUN
abr-132	130	14	that	that	PRON
abr-132	130	15	seeks	seek	VERB
abr-132	130	16	to	to	PART
abr-132	130	17	promote	promote	VERB
abr-132	130	18	the	the	DET
abr-132	130	19	policy	policy	NOUN
abr-132	130	20	interests	interest	NOUN
abr-132	130	21	of	of	ADP
abr-132	130	22	software	software	NOUN
abr-132	130	23	producers	producer	NOUN
abr-132	130	24	in	in	ADP
abr-132	130	25	governments	government	NOUN
abr-132	130	26	throughout	throughout	ADP
abr-132	130	27	the	the	DET
abr-132	130	28	world	world	NOUN
abr-132	130	29	.	.	PUNCT
abr-132	131	1	one	one	NUM
abr-132	131	2	such	such	ADJ
abr-132	131	3	area	area	NOUN
abr-132	131	4	of	of	ADP
abr-132	131	5	public	public	ADJ
abr-132	131	6	policy	policy	NOUN
abr-132	131	7	is	be	AUX
abr-132	131	8	their	their	PRON
abr-132	131	9	push	push	NOUN
abr-132	131	10	to	to	ADP
abr-132	131	11	combat	combat	NOUN
abr-132	131	12	software	software	NOUN
abr-132	131	13	piracy	piracy	NOUN
abr-132	131	14	,	,	PUNCT
abr-132	131	15	which	which	PRON
abr-132	131	16	is	be	AUX
abr-132	131	17	why	why	SCONJ
abr-132	131	18	they	they	PRON
abr-132	131	19	commission	commission	VERB
abr-132	131	20	this	this	DET
abr-132	131	21	study	study	NOUN
abr-132	131	22	on	on	ADP
abr-132	131	23	software	software	NOUN
abr-132	131	24	piracy	piracy	NOUN
abr-132	131	25	.	.	PUNCT
abr-132	132	1	the	the	DET
abr-132	132	2	independent	independent	ADJ
abr-132	132	3	variables	variable	NOUN
abr-132	132	4	used	use	VERB
abr-132	132	5	in	in	ADP
abr-132	132	6	the	the	DET
abr-132	132	7	study	study	NOUN
abr-132	132	8	fall	fall	VERB
abr-132	132	9	into	into	ADP
abr-132	132	10	two	two	NUM
abr-132	132	11	categories	category	NOUN
abr-132	132	12	:	:	PUNCT
abr-132	132	13	economic	economic	ADJ
abr-132	132	14	(	(	PUNCT
abr-132	132	15	income	income	NOUN
abr-132	132	16	)	)	PUNCT
abr-132	132	17	and	and	CCONJ
abr-132	132	18	cultural	cultural	ADJ
abr-132	132	19	/	/	SYM
abr-132	132	20	legal	legal	ADJ
abr-132	132	21	(	(	PUNCT
abr-132	132	22	collectivism	collectivism	NOUN
abr-132	132	23	,	,	PUNCT
abr-132	132	24	corruption	corruption	NOUN
abr-132	132	25	,	,	PUNCT
abr-132	132	26	and	and	CCONJ
abr-132	132	27	intellectual	intellectual	ADJ
abr-132	132	28	property	property	NOUN
abr-132	132	29	protection	protection	NOUN
abr-132	132	30	)	)	PUNCT
abr-132	132	31	.	.	PUNCT
abr-132	133	1	gdp	gdp	NOUN
abr-132	133	2	per	per	ADP
abr-132	133	3	capita	capita	NOUN
abr-132	133	4	by	by	ADP
abr-132	133	5	country	country	NOUN
abr-132	133	6	is	be	AUX
abr-132	133	7	derived	derive	VERB
abr-132	133	8	using	use	VERB
abr-132	133	9	world	world	PROPN
abr-132	133	10	bank	bank	PROPN
abr-132	133	11	data	datum	NOUN
abr-132	133	12	on	on	ADP
abr-132	133	13	gross	gross	ADJ
abr-132	133	14	domestic	domestic	ADJ
abr-132	133	15	product	product	NOUN
abr-132	133	16	,	,	PUNCT
abr-132	133	17	which	which	PRON
abr-132	133	18	is	be	AUX
abr-132	133	19	then	then	ADV
abr-132	133	20	converted	convert	VERB
abr-132	133	21	to	to	ADP
abr-132	133	22	international	international	ADJ
abr-132	133	23	dollars	dollar	NOUN
abr-132	133	24	using	use	VERB
abr-132	133	25	purchasing	purchasing	NOUN
abr-132	133	26	power	power	NOUN
abr-132	133	27	parity	parity	NOUN
abr-132	133	28	(	(	PUNCT
abr-132	133	29	ppp	ppp	NOUN
abr-132	133	30	)	)	PUNCT
abr-132	133	31	rates	rate	NOUN
abr-132	133	32	also	also	ADV
abr-132	133	33	provided	provide	VERB
abr-132	133	34	by	by	ADP
abr-132	133	35	the	the	DET
abr-132	133	36	world	world	PROPN
abr-132	133	37	bank	bank	PROPN
abr-132	133	38	.	.	PUNCT
abr-132	134	1	an	an	DET
abr-132	134	2	international	international	ADJ
abr-132	134	3	dollar	dollar	NOUN
abr-132	134	4	has	have	VERB
abr-132	134	5	the	the	DET
abr-132	134	6	same	same	ADJ
abr-132	134	7	purchasing	purchasing	NOUN
abr-132	134	8	power	power	NOUN
abr-132	134	9	over	over	ADP
abr-132	134	10	gdp	gdp	NOUN
abr-132	134	11	as	as	ADP
abr-132	134	12	the	the	DET
abr-132	134	13	u.s	u.s	PROPN
abr-132	134	14	.	.	PROPN
abr-132	134	15	dollar	dollar	NOUN
abr-132	134	16	has	have	VERB
abr-132	134	17	in	in	ADP
abr-132	134	18	the	the	DET
abr-132	134	19	united	united	PROPN
abr-132	134	20	states	states	PROPN
abr-132	134	21	;	;	PUNCT
abr-132	134	22	this	this	PRON
abr-132	134	23	controls	control	VERB
abr-132	134	24	for	for	ADP
abr-132	134	25	the	the	DET
abr-132	134	26	difference	difference	NOUN
abr-132	134	27	of	of	ADP
abr-132	134	28	purchasing	purchase	VERB
abr-132	134	29	power	power	NOUN
abr-132	134	30	among	among	ADP
abr-132	134	31	countries	country	NOUN
abr-132	134	32	.	.	PUNCT
abr-132	135	1	gdp	gdp	NOUN
abr-132	135	2	was	be	AUX
abr-132	135	3	the	the	DET
abr-132	135	4	most	most	ADV
abr-132	135	5	commonly	commonly	ADV
abr-132	135	6	included	include	VERB
abr-132	135	7	economic	economic	ADJ
abr-132	135	8	variable	variable	NOUN
abr-132	135	9	in	in	ADP
abr-132	135	10	previous	previous	ADJ
abr-132	135	11	studies	study	NOUN
abr-132	135	12	.	.	PUNCT
abr-132	136	1	median	median	ADJ
abr-132	136	2	household	household	NOUN
abr-132	136	3	income	income	NOUN
abr-132	136	4	data	datum	NOUN
abr-132	136	5	comes	come	VERB
abr-132	136	6	from	from	ADP
abr-132	136	7	a	a	DET
abr-132	136	8	gallup	gallup	NOUN
abr-132	136	9	report	report	NOUN
abr-132	136	10	of	of	ADP
abr-132	136	11	country	country	NOUN
abr-132	136	12	-	-	PUNCT
abr-132	136	13	by	by	ADP
abr-132	136	14	-	-	PUNCT
abr-132	136	15	country	country	NOUN
abr-132	136	16	median	median	ADJ
abr-132	136	17	household	household	NOUN
abr-132	136	18	incomes	income	NOUN
abr-132	136	19	,	,	PUNCT
abr-132	136	20	the	the	DET
abr-132	136	21	results	result	NOUN
abr-132	136	22	of	of	ADP
abr-132	136	23	which	which	PRON
abr-132	136	24	were	be	AUX
abr-132	136	25	released	release	VERB
abr-132	136	26	in	in	ADP
abr-132	136	27	2013	2013	NUM
abr-132	136	28	.	.	PUNCT
abr-132	137	1	gallup	gallup	NOUN
abr-132	137	2	surveyed	survey	VERB
abr-132	137	3	the	the	DET
abr-132	137	4	populations	population	NOUN
abr-132	137	5	of	of	ADP
abr-132	137	6	131	131	NUM
abr-132	137	7	countries	country	NOUN
abr-132	137	8	over	over	ADP
abr-132	137	9	a	a	DET
abr-132	137	10	six	six	NUM
abr-132	137	11	-	-	PUNCT
abr-132	137	12	year	year	NOUN
abr-132	137	13	period	period	NOUN
abr-132	137	14	of	of	ADP
abr-132	137	15	2006	2006	NUM
abr-132	137	16	through	through	ADP
abr-132	137	17	2012	2012	NUM
abr-132	137	18	.	.	PUNCT
abr-132	138	1	like	like	SCONJ
abr-132	138	2	the	the	DET
abr-132	138	3	study	study	NOUN
abr-132	138	4	does	do	AUX
abr-132	138	5	with	with	ADP
abr-132	138	6	gdp	gdp	PROPN
abr-132	138	7	,	,	PUNCT
abr-132	138	8	gallup	gallup	PROPN
abr-132	138	9	adjusted	adjust	VERB
abr-132	138	10	each	each	DET
abr-132	138	11	country	country	NOUN
abr-132	138	12	’s	’s	PART
abr-132	138	13	income	income	NOUN
abr-132	138	14	measure	measure	NOUN
abr-132	138	15	using	use	VERB
abr-132	138	16	the	the	DET
abr-132	138	17	purchasing	purchase	VERB
abr-132	138	18	power	power	NOUN
abr-132	138	19	parity	parity	NOUN
abr-132	138	20	rates	rate	NOUN
abr-132	138	21	provided	provide	VERB
abr-132	138	22	by	by	ADP
abr-132	138	23	the	the	DET
abr-132	138	24	world	world	PROPN
abr-132	138	25	bank	bank	PROPN
abr-132	138	26	.	.	PUNCT
abr-132	139	1	because	because	SCONJ
abr-132	139	2	the	the	DET
abr-132	139	3	gallup	gallup	PROPN
abr-132	139	4	figures	figure	NOUN
abr-132	139	5	are	be	AUX
abr-132	139	6	averages	average	NOUN
abr-132	139	7	over	over	ADP
abr-132	139	8	a	a	DET
abr-132	139	9	six	six	NUM
abr-132	139	10	year	year	NOUN
abr-132	139	11	window	window	NOUN
abr-132	139	12	from	from	ADP
abr-132	139	13	2006	2006	NUM
abr-132	139	14	through	through	ADP
abr-132	139	15	2012	2012	NUM
abr-132	139	16	,	,	PUNCT
abr-132	139	17	we	we	PRON
abr-132	139	18	chose	choose	VERB
abr-132	139	19	to	to	PART
abr-132	139	20	use	use	VERB
abr-132	139	21	2009	2009	NUM
abr-132	139	22	as	as	ADP
abr-132	139	23	the	the	DET
abr-132	139	24	year	year	NOUN
abr-132	139	25	of	of	ADP
abr-132	139	26	record	record	NOUN
abr-132	139	27	in	in	ADP
abr-132	139	28	the	the	DET
abr-132	139	29	analysis	analysis	NOUN
abr-132	139	30	.	.	PUNCT
abr-132	140	1	our	our	PRON
abr-132	140	2	measure	measure	NOUN
abr-132	140	3	of	of	ADP
abr-132	140	4	intellectual	intellectual	ADJ
abr-132	140	5	property	property	NOUN
abr-132	140	6	protection	protection	NOUN
abr-132	140	7	(	(	PUNCT
abr-132	140	8	ipp	ipp	PROPN
abr-132	140	9	)	)	PUNCT
abr-132	140	10	comes	come	VERB
abr-132	140	11	from	from	ADP
abr-132	140	12	the	the	DET
abr-132	140	13	world	world	NOUN
abr-132	140	14	economic	economic	PROPN
abr-132	140	15	forum	forum	PROPN
abr-132	140	16	’s	’s	PART
abr-132	140	17	global	global	ADJ
abr-132	140	18	competitiveness	competitiveness	NOUN
abr-132	140	19	report	report	NOUN
abr-132	140	20	,	,	PUNCT
abr-132	140	21	which	which	PRON
abr-132	140	22	it	it	PRON
abr-132	140	23	describes	describe	VERB
abr-132	140	24	on	on	ADP
abr-132	140	25	its	its	PRON
abr-132	140	26	website	website	NOUN
abr-132	140	27	as	as	SCONJ
abr-132	140	28	follows	follow	VERB
abr-132	140	29	:	:	PUNCT
abr-132	140	30	the	the	DET
abr-132	140	31	global	global	ADJ
abr-132	140	32	competitiveness	competitiveness	NOUN
abr-132	140	33	report	report	NOUN
abr-132	140	34	2014	2014	NUM
abr-132	140	35	-	-	SYM
abr-132	140	36	2015	2015	NUM
abr-132	140	37	assesses	assess	VERB
abr-132	140	38	the	the	DET
abr-132	140	39	competitiveness	competitiveness	NOUN
abr-132	140	40	landscape	landscape	NOUN
abr-132	140	41	of	of	ADP
abr-132	140	42	144	144	NUM
abr-132	140	43	economies	economy	NOUN
abr-132	140	44	,	,	PUNCT
abr-132	140	45	providing	provide	VERB
abr-132	140	46	insight	insight	NOUN
abr-132	140	47	into	into	ADP
abr-132	140	48	the	the	DET
abr-132	140	49	drivers	driver	NOUN
abr-132	140	50	of	of	ADP
abr-132	140	51	their	their	PRON
abr-132	140	52	productivity	productivity	NOUN
abr-132	140	53	and	and	CCONJ
abr-132	140	54	prosperity	prosperity	NOUN
abr-132	140	55	.	.	PUNCT
abr-132	141	1	the	the	DET
abr-132	141	2	report	report	NOUN
abr-132	141	3	kyper	kyper	NOUN
abr-132	141	4	57	57	NUM
abr-132	141	5	remains	remain	VERB
abr-132	141	6	the	the	DET
abr-132	141	7	most	most	ADV
abr-132	141	8	comprehensive	comprehensive	ADJ
abr-132	141	9	assessment	assessment	NOUN
abr-132	141	10	of	of	ADP
abr-132	141	11	national	national	ADJ
abr-132	141	12	competitiveness	competitiveness	NOUN
abr-132	141	13	worldwide	worldwide	ADV
abr-132	141	14	,	,	PUNCT
abr-132	141	15	providing	provide	VERB
abr-132	141	16	a	a	DET
abr-132	141	17	platform	platform	NOUN
abr-132	141	18	for	for	ADP
abr-132	141	19	dialogue	dialogue	NOUN
abr-132	141	20	between	between	ADP
abr-132	141	21	government	government	NOUN
abr-132	141	22	,	,	PUNCT
abr-132	141	23	business	business	NOUN
abr-132	141	24	and	and	CCONJ
abr-132	141	25	civil	civil	ADJ
abr-132	141	26	society	society	NOUN
abr-132	141	27	about	about	ADP
abr-132	141	28	the	the	DET
abr-132	141	29	actions	action	NOUN
abr-132	141	30	required	require	VERB
abr-132	141	31	to	to	PART
abr-132	141	32	improve	improve	VERB
abr-132	141	33	economic	economic	ADJ
abr-132	141	34	prosperity	prosperity	NOUN
abr-132	141	35	.	.	PUNCT
abr-132	142	1	competitiveness	competitiveness	NOUN
abr-132	142	2	is	be	AUX
abr-132	142	3	defined	define	VERB
abr-132	142	4	as	as	ADP
abr-132	142	5	the	the	DET
abr-132	142	6	set	set	NOUN
abr-132	142	7	of	of	ADP
abr-132	142	8	institutions	institution	NOUN
abr-132	142	9	,	,	PUNCT
abr-132	142	10	policies	policy	NOUN
abr-132	142	11	and	and	CCONJ
abr-132	142	12	factors	factor	NOUN
abr-132	142	13	that	that	PRON
abr-132	142	14	determine	determine	VERB
abr-132	142	15	the	the	DET
abr-132	142	16	level	level	NOUN
abr-132	142	17	of	of	ADP
abr-132	142	18	productivity	productivity	NOUN
abr-132	142	19	of	of	ADP
abr-132	142	20	a	a	DET
abr-132	142	21	country	country	NOUN
abr-132	142	22	.	.	PUNCT
abr-132	143	1	the	the	DET
abr-132	143	2	level	level	NOUN
abr-132	143	3	of	of	ADP
abr-132	143	4	productivity	productivity	NOUN
abr-132	143	5	,	,	PUNCT
abr-132	143	6	in	in	ADP
abr-132	143	7	turn	turn	NOUN
abr-132	143	8	,	,	PUNCT
abr-132	143	9	sets	set	VERB
abr-132	143	10	the	the	DET
abr-132	143	11	level	level	NOUN
abr-132	143	12	of	of	ADP
abr-132	143	13	prosperity	prosperity	NOUN
abr-132	143	14	that	that	PRON
abr-132	143	15	can	can	AUX
abr-132	143	16	be	be	AUX
abr-132	143	17	earned	earn	VERB
abr-132	143	18	by	by	ADP
abr-132	143	19	an	an	DET
abr-132	143	20	economy	economy	NOUN
abr-132	143	21	.	.	PUNCT
abr-132	144	1	the	the	DET
abr-132	144	2	ipp	ipp	PROPN
abr-132	144	3	component	component	NOUN
abr-132	144	4	of	of	ADP
abr-132	144	5	the	the	DET
abr-132	144	6	global	global	ADJ
abr-132	144	7	competitiveness	competitiveness	NOUN
abr-132	144	8	report	report	NOUN
abr-132	144	9	is	be	AUX
abr-132	144	10	part	part	NOUN
abr-132	144	11	of	of	ADP
abr-132	144	12	the	the	DET
abr-132	144	13	institutions	institution	NOUN
abr-132	144	14	sub	sub	VERB
abr-132	144	15	index	index	NOUN
abr-132	144	16	of	of	ADP
abr-132	144	17	the	the	DET
abr-132	144	18	gcr	gcr	NOUN
abr-132	144	19	and	and	CCONJ
abr-132	144	20	is	be	AUX
abr-132	144	21	derived	derive	VERB
abr-132	144	22	based	base	VERB
abr-132	144	23	on	on	ADP
abr-132	144	24	responses	response	NOUN
abr-132	144	25	of	of	ADP
abr-132	144	26	business	business	NOUN
abr-132	144	27	leaders	leader	NOUN
abr-132	144	28	to	to	ADP
abr-132	144	29	the	the	DET
abr-132	144	30	following	following	ADJ
abr-132	144	31	question	question	NOUN
abr-132	144	32	in	in	ADP
abr-132	144	33	the	the	DET
abr-132	144	34	executive	executive	ADJ
abr-132	144	35	opinion	opinion	NOUN
abr-132	144	36	survey	survey	NOUN
abr-132	144	37	:	:	PUNCT
abr-132	144	38	how	how	SCONJ
abr-132	144	39	would	would	AUX
abr-132	144	40	you	you	PRON
abr-132	144	41	rate	rate	VERB
abr-132	144	42	intellectual	intellectual	ADJ
abr-132	144	43	property	property	NOUN
abr-132	144	44	protection	protection	NOUN
abr-132	144	45	,	,	PUNCT
abr-132	144	46	including	include	VERB
abr-132	144	47	anti	anti	ADJ
abr-132	144	48	-	-	ADJ
abr-132	144	49	counterfeiting	counterfeiting	ADJ
abr-132	144	50	measures	measure	NOUN
abr-132	144	51	,	,	PUNCT
abr-132	144	52	in	in	ADP
abr-132	144	53	your	your	PRON
abr-132	144	54	country	country	NOUN
abr-132	144	55	?	?	PUNCT
abr-132	145	1	[	[	X
abr-132	145	2	1	1	NUM
abr-132	145	3	=	=	SYM
abr-132	145	4	very	very	ADV
abr-132	145	5	weak	weak	ADJ
abr-132	145	6	;	;	PUNCT
abr-132	145	7	7	7	NUM
abr-132	145	8	=	=	SYM
abr-132	145	9	very	very	ADV
abr-132	145	10	strong	strong	ADJ
abr-132	145	11	]	]	PUNCT
abr-132	145	12	the	the	DET
abr-132	145	13	two	two	NUM
abr-132	145	14	cultural	cultural	ADJ
abr-132	145	15	variables	variable	NOUN
abr-132	145	16	used	use	VERB
abr-132	145	17	in	in	ADP
abr-132	145	18	this	this	DET
abr-132	145	19	study	study	NOUN
abr-132	145	20	were	be	AUX
abr-132	145	21	chosen	choose	VERB
abr-132	145	22	based	base	VERB
abr-132	145	23	on	on	ADP
abr-132	145	24	the	the	DET
abr-132	145	25	findings	finding	NOUN
abr-132	145	26	of	of	ADP
abr-132	145	27	previous	previous	ADJ
abr-132	145	28	researchers	researcher	NOUN
abr-132	145	29	seeking	seek	VERB
abr-132	145	30	to	to	PART
abr-132	145	31	explain	explain	VERB
abr-132	145	32	variation	variation	NOUN
abr-132	145	33	in	in	ADP
abr-132	145	34	piracy	piracy	NOUN
abr-132	145	35	rates	rate	NOUN
abr-132	145	36	across	across	ADP
abr-132	145	37	countries	country	NOUN
abr-132	145	38	.	.	PUNCT
abr-132	146	1	many	many	ADJ
abr-132	146	2	of	of	ADP
abr-132	146	3	these	these	PRON
abr-132	146	4	appear	appear	VERB
abr-132	146	5	in	in	ADP
abr-132	146	6	the	the	DET
abr-132	146	7	literature	literature	NOUN
abr-132	146	8	review	review	PROPN
abr-132	146	9	.	.	PUNCT
abr-132	147	1	the	the	DET
abr-132	147	2	measure	measure	NOUN
abr-132	147	3	for	for	ADP
abr-132	147	4	collectivism	collectivism	NOUN
abr-132	147	5	comes	come	VERB
abr-132	147	6	from	from	ADP
abr-132	147	7	hofstede	hofstede	NOUN
abr-132	147	8	’s	’s	PART
abr-132	147	9	seminal	seminal	ADJ
abr-132	147	10	study	study	NOUN
abr-132	147	11	on	on	ADP
abr-132	147	12	cultures	culture	NOUN
abr-132	147	13	across	across	ADP
abr-132	147	14	nations	nation	NOUN
abr-132	147	15	.	.	PUNCT
abr-132	148	1	as	as	SCONJ
abr-132	148	2	explained	explain	VERB
abr-132	148	3	by	by	ADP
abr-132	148	4	hofstede	hofstede	NOUN
abr-132	148	5	(	(	PUNCT
abr-132	148	6	1983	1983	NUM
abr-132	148	7	):	):	PUNCT
abr-132	148	8	“	"	PUNCT
abr-132	148	9	individualism	individualism	NOUN
abr-132	148	10	collectivism	collectivism	NOUN
abr-132	148	11	index	index	NOUN
abr-132	148	12	:	:	PUNCT
abr-132	148	13	individualism	individualism	NOUN
abr-132	148	14	,	,	PUNCT
abr-132	148	15	which	which	PRON
abr-132	148	16	stands	stand	VERB
abr-132	148	17	for	for	ADP
abr-132	148	18	a	a	DET
abr-132	148	19	preference	preference	NOUN
abr-132	148	20	for	for	ADP
abr-132	148	21	a	a	DET
abr-132	148	22	loosely	loosely	ADV
abr-132	148	23	knit	knit	VERB
abr-132	148	24	social	social	ADJ
abr-132	148	25	framework	framework	NOUN
abr-132	148	26	in	in	ADP
abr-132	148	27	which	which	PRON
abr-132	148	28	individuals	individual	NOUN
abr-132	148	29	are	be	AUX
abr-132	148	30	supposed	suppose	VERB
abr-132	148	31	to	to	PART
abr-132	148	32	take	take	VERB
abr-132	148	33	care	care	NOUN
abr-132	148	34	of	of	ADP
abr-132	148	35	themselves	themselves	PRON
abr-132	148	36	and	and	CCONJ
abr-132	148	37	their	their	PRON
abr-132	148	38	immediate	immediate	ADJ
abr-132	148	39	families	family	NOUN
abr-132	148	40	only	only	ADV
abr-132	148	41	;	;	PUNCT
abr-132	148	42	as	as	SCONJ
abr-132	148	43	opposed	oppose	VERB
abr-132	148	44	to	to	ADP
abr-132	148	45	collectivism	collectivism	NOUN
abr-132	148	46	,	,	PUNCT
abr-132	148	47	which	which	PRON
abr-132	148	48	stands	stand	VERB
abr-132	148	49	for	for	ADP
abr-132	148	50	a	a	DET
abr-132	148	51	preference	preference	NOUN
abr-132	148	52	for	for	ADP
abr-132	148	53	a	a	DET
abr-132	148	54	tightly	tightly	ADV
abr-132	148	55	knit	knit	VERB
abr-132	148	56	social	social	ADJ
abr-132	148	57	framework	framework	NOUN
abr-132	148	58	in	in	ADP
abr-132	148	59	which	which	PRON
abr-132	148	60	individuals	individual	NOUN
abr-132	148	61	are	be	AUX
abr-132	148	62	emotionally	emotionally	ADV
abr-132	148	63	integrated	integrate	VERB
abr-132	148	64	into	into	ADP
abr-132	148	65	an	an	DET
abr-132	148	66	extended	extended	ADJ
abr-132	148	67	family	family	NOUN
abr-132	148	68	,	,	PUNCT
abr-132	148	69	clan	clan	NOUN
abr-132	148	70	,	,	PUNCT
abr-132	148	71	or	or	CCONJ
abr-132	148	72	other	other	ADJ
abr-132	148	73	in	in	ADP
abr-132	148	74	-	-	PUNCT
abr-132	148	75	group	group	NOUN
abr-132	148	76	which	which	PRON
abr-132	148	77	will	will	AUX
abr-132	148	78	protect	protect	VERB
abr-132	148	79	them	they	PRON
abr-132	148	80	in	in	ADP
abr-132	148	81	exchange	exchange	NOUN
abr-132	148	82	for	for	ADP
abr-132	148	83	unquestioning	unquestioning	ADJ
abr-132	148	84	loyalty	loyalty	NOUN
abr-132	148	85	.	.	PUNCT
abr-132	149	1	the	the	DET
abr-132	149	2	word	word	NOUN
abr-132	149	3	collectivism	collectivism	NOUN
abr-132	149	4	in	in	ADP
abr-132	149	5	this	this	DET
abr-132	149	6	sense	sense	NOUN
abr-132	149	7	carries	carry	VERB
abr-132	149	8	no	no	DET
abr-132	149	9	political	political	ADJ
abr-132	149	10	connotations	connotation	NOUN
abr-132	149	11	and	and	CCONJ
abr-132	149	12	does	do	AUX
abr-132	149	13	not	not	PART
abr-132	149	14	assume	assume	VERB
abr-132	149	15	any	any	DET
abr-132	149	16	positions	position	NOUN
abr-132	149	17	as	as	ADP
abr-132	149	18	to	to	ADP
abr-132	149	19	the	the	DET
abr-132	149	20	role	role	NOUN
abr-132	149	21	of	of	ADP
abr-132	149	22	the	the	DET
abr-132	149	23	state	state	NOUN
abr-132	149	24	;	;	PUNCT
abr-132	149	25	it	it	PRON
abr-132	149	26	operates	operate	VERB
abr-132	149	27	at	at	ADP
abr-132	149	28	a	a	DET
abr-132	149	29	much	much	ADV
abr-132	149	30	smaller	small	ADJ
abr-132	149	31	scale	scale	NOUN
abr-132	149	32	of	of	ADP
abr-132	149	33	social	social	ADJ
abr-132	149	34	integration	integration	NOUN
abr-132	149	35	(	(	PUNCT
abr-132	149	36	hofstede	hofstede	NOUN
abr-132	149	37	,	,	PUNCT
abr-132	149	38	1983	1983	NUM
abr-132	149	39	)	)	PUNCT
abr-132	149	40	.	.	PUNCT
abr-132	149	41	”	"	PUNCT
abr-132	150	1	merritt	merritt	PROPN
abr-132	150	2	(	(	PUNCT
abr-132	150	3	2000	2000	NUM
abr-132	150	4	)	)	PUNCT
abr-132	150	5	has	have	AUX
abr-132	150	6	shown	show	VERB
abr-132	150	7	that	that	SCONJ
abr-132	150	8	hofstede	hofstede	NOUN
abr-132	150	9	’s	’s	PART
abr-132	150	10	cultural	cultural	ADJ
abr-132	150	11	indices	index	NOUN
abr-132	150	12	are	be	AUX
abr-132	150	13	replicable	replicable	ADJ
abr-132	150	14	across	across	ADP
abr-132	150	15	different	different	ADJ
abr-132	150	16	time	time	NOUN
abr-132	150	17	periods	period	NOUN
abr-132	150	18	and	and	CCONJ
abr-132	150	19	subject	subject	ADJ
abr-132	150	20	groups	group	NOUN
abr-132	150	21	.	.	PUNCT
abr-132	151	1	in	in	ADP
abr-132	151	2	particular	particular	ADJ
abr-132	151	3	collectivism	collectivism	NOUN
abr-132	151	4	showed	show	VERB
abr-132	151	5	to	to	PART
abr-132	151	6	be	be	AUX
abr-132	151	7	durable	durable	ADJ
abr-132	151	8	across	across	ADP
abr-132	151	9	time	time	NOUN
abr-132	151	10	and	and	CCONJ
abr-132	151	11	subjects	subject	NOUN
abr-132	151	12	.	.	PUNCT
abr-132	152	1	this	this	PRON
abr-132	152	2	provides	provide	VERB
abr-132	152	3	the	the	DET
abr-132	152	4	current	current	ADJ
abr-132	152	5	study	study	NOUN
abr-132	152	6	with	with	ADP
abr-132	152	7	the	the	DET
abr-132	152	8	necessary	necessary	ADJ
abr-132	152	9	empirical	empirical	ADJ
abr-132	152	10	and	and	CCONJ
abr-132	152	11	theoretical	theoretical	ADJ
abr-132	152	12	foundations	foundation	NOUN
abr-132	152	13	to	to	PART
abr-132	152	14	continue	continue	VERB
abr-132	152	15	using	use	VERB
abr-132	152	16	hofstede	hofstede	NOUN
abr-132	152	17	’s	’s	PART
abr-132	152	18	cultural	cultural	ADJ
abr-132	152	19	indices	index	NOUN
abr-132	152	20	.	.	PUNCT
abr-132	153	1	finally	finally	ADV
abr-132	153	2	,	,	PUNCT
abr-132	153	3	the	the	DET
abr-132	153	4	measure	measure	NOUN
abr-132	153	5	of	of	ADP
abr-132	153	6	corruption	corruption	NOUN
abr-132	153	7	comes	come	VERB
abr-132	153	8	from	from	ADP
abr-132	153	9	transparency	transparency	NOUN
abr-132	153	10	international	international	PROPN
abr-132	153	11	’s	’s	PART
abr-132	153	12	corruption	corruption	NOUN
abr-132	153	13	perceptions	perception	NOUN
abr-132	153	14	index	index	NOUN
abr-132	153	15	.	.	PUNCT
abr-132	154	1	the	the	DET
abr-132	154	2	study	study	NOUN
abr-132	154	3	rates	rate	NOUN
abr-132	154	4	countries	country	NOUN
abr-132	154	5	on	on	ADP
abr-132	154	6	perception	perception	NOUN
abr-132	154	7	of	of	ADP
abr-132	154	8	public	public	ADJ
abr-132	154	9	corruption	corruption	NOUN
abr-132	154	10	on	on	ADP
abr-132	154	11	a	a	DET
abr-132	154	12	scale	scale	NOUN
abr-132	154	13	of	of	ADP
abr-132	154	14	0	0	NUM
abr-132	154	15	-	-	SYM
abr-132	154	16	10	10	NUM
abr-132	154	17	where	where	SCONJ
abr-132	154	18	0	0	NUM
abr-132	154	19	is	be	AUX
abr-132	154	20	high	high	ADJ
abr-132	154	21	corrupt	corrupt	ADJ
abr-132	154	22	countries	country	NOUN
abr-132	154	23	and	and	CCONJ
abr-132	154	24	10	10	NUM
abr-132	154	25	is	be	AUX
abr-132	154	26	low	low	ADJ
abr-132	154	27	corrupt	corrupt	ADJ
abr-132	154	28	countries	country	NOUN
abr-132	154	29	.	.	PUNCT
abr-132	155	1	these	these	DET
abr-132	155	2	ratings	rating	NOUN
abr-132	155	3	are	be	AUX
abr-132	155	4	based	base	VERB
abr-132	155	5	on	on	ADP
abr-132	155	6	surveys	survey	NOUN
abr-132	155	7	of	of	ADP
abr-132	155	8	surveys	survey	NOUN
abr-132	155	9	.	.	PUNCT
abr-132	156	1	that	that	PRON
abr-132	156	2	is	is	ADV
abr-132	156	3	,	,	PUNCT
abr-132	156	4	transparency	transparency	NOUN
abr-132	156	5	international	international	NOUN
abr-132	156	6	uses	use	VERB
abr-132	156	7	multiple	multiple	ADJ
abr-132	156	8	surveys	survey	NOUN
abr-132	156	9	that	that	PRON
abr-132	156	10	been	be	AUX
abr-132	156	11	conducted	conduct	VERB
abr-132	156	12	by	by	ADP
abr-132	156	13	organizations	organization	NOUN
abr-132	156	14	such	such	ADJ
abr-132	156	15	as	as	ADP
abr-132	156	16	the	the	DET
abr-132	156	17	world	world	PROPN
abr-132	156	18	bank	bank	PROPN
abr-132	156	19	,	,	PUNCT
abr-132	156	20	ihs	ihs	PROPN
abr-132	156	21	global	global	ADJ
abr-132	156	22	insight	insight	NOUN
abr-132	156	23	,	,	PUNCT
abr-132	156	24	freedom	freedom	NOUN
abr-132	156	25	house	house	NOUN
abr-132	156	26	,	,	PUNCT
abr-132	156	27	and	and	CCONJ
abr-132	156	28	others	other	NOUN
abr-132	156	29	in	in	ADP
abr-132	156	30	order	order	NOUN
abr-132	156	31	to	to	PART
abr-132	156	32	come	come	VERB
abr-132	156	33	up	up	ADP
abr-132	156	34	with	with	ADP
abr-132	156	35	a	a	DET
abr-132	156	36	rating	rating	NOUN
abr-132	156	37	for	for	ADP
abr-132	156	38	each	each	DET
abr-132	156	39	country	country	NOUN
abr-132	156	40	.	.	PUNCT
abr-132	157	1	the	the	DET
abr-132	157	2	respondents	respondent	NOUN
abr-132	157	3	of	of	ADP
abr-132	157	4	these	these	DET
abr-132	157	5	surveys	survey	NOUN
abr-132	157	6	are	be	AUX
abr-132	157	7	typically	typically	ADV
abr-132	157	8	international	international	ADJ
abr-132	157	9	experts	expert	NOUN
abr-132	157	10	and	and	CCONJ
abr-132	157	11	business	business	NOUN
abr-132	157	12	persons	person	NOUN
abr-132	157	13	.	.	PUNCT
abr-132	158	1	we	we	PRON
abr-132	158	2	first	first	ADV
abr-132	158	3	address	address	VERB
abr-132	158	4	the	the	DET
abr-132	158	5	question	question	NOUN
abr-132	158	6	of	of	ADP
abr-132	158	7	what	what	PRON
abr-132	158	8	income	income	NOUN
abr-132	158	9	measure	measure	NOUN
abr-132	158	10	best	good	ADJ
abr-132	158	11	predicts	predict	NOUN
abr-132	158	12	software	software	NOUN
abr-132	158	13	piracy	piracy	NOUN
abr-132	158	14	by	by	ADP
abr-132	158	15	running	run	VERB
abr-132	158	16	bivariate	bivariate	ADJ
abr-132	158	17	ols	ol	NOUN
abr-132	158	18	regressions	regression	NOUN
abr-132	158	19	for	for	ADP
abr-132	158	20	each	each	DET
abr-132	158	21	income	income	NOUN
abr-132	158	22	measure	measure	NOUN
abr-132	158	23	with	with	ADP
abr-132	158	24	the	the	DET
abr-132	158	25	dependent	dependent	ADJ
abr-132	158	26	variable	variable	NOUN
abr-132	158	27	for	for	ADP
abr-132	158	28	the	the	DET
abr-132	158	29	98	98	NUM
abr-132	158	30	countries	country	NOUN
abr-132	158	31	that	that	PRON
abr-132	158	32	have	have	VERB
abr-132	158	33	coverage	coverage	NOUN
abr-132	158	34	of	of	ADP
abr-132	158	35	both	both	DET
abr-132	158	36	income	income	NOUN
abr-132	158	37	measures	measure	NOUN
abr-132	158	38	and	and	CCONJ
abr-132	158	39	software	software	NOUN
abr-132	158	40	piracy	piracy	NOUN
abr-132	158	41	.	.	PUNCT
abr-132	159	1	after	after	ADP
abr-132	159	2	running	run	VERB
abr-132	159	3	the	the	DET
abr-132	159	4	four	four	NUM
abr-132	159	5	bivariate	bivariate	ADJ
abr-132	159	6	regressions	regression	NOUN
abr-132	159	7	,	,	PUNCT
abr-132	159	8	we	we	PRON
abr-132	159	9	then	then	ADV
abr-132	159	10	run	run	VERB
abr-132	159	11	four	four	NUM
abr-132	159	12	additional	additional	ADJ
abr-132	159	13	regressions	regression	NOUN
abr-132	159	14	,	,	PUNCT
abr-132	159	15	each	each	PRON
abr-132	159	16	containing	contain	VERB
abr-132	159	17	a	a	DET
abr-132	159	18	different	different	ADJ
abr-132	159	19	income	income	NOUN
abr-132	159	20	measure	measure	NOUN
abr-132	159	21	along	along	ADP
abr-132	159	22	with	with	ADP
abr-132	159	23	all	all	PRON
abr-132	159	24	of	of	ADP
abr-132	159	25	the	the	DET
abr-132	159	26	non	non	ADJ
abr-132	159	27	-	-	ADJ
abr-132	159	28	income	income	ADJ
abr-132	159	29	explanatory	explanatory	ADJ
abr-132	159	30	variables	variable	NOUN
abr-132	159	31	for	for	ADP
abr-132	159	32	the	the	DET
abr-132	159	33	61	61	NUM
abr-132	159	34	countries	country	NOUN
abr-132	159	35	that	that	PRON
abr-132	159	36	have	have	VERB
abr-132	159	37	full	full	ADJ
abr-132	159	38	coverage	coverage	NOUN
abr-132	159	39	.	.	PUNCT
abr-132	160	1	all	all	DET
abr-132	160	2	hypotheses	hypothesis	NOUN
abr-132	160	3	are	be	AUX
abr-132	160	4	tested	test	VERB
abr-132	160	5	at	at	ADP
abr-132	160	6	the	the	DET
abr-132	160	7	95	95	NUM
abr-132	160	8	%	%	NOUN
abr-132	160	9	significance	significance	NOUN
abr-132	160	10	level	level	NOUN
abr-132	160	11	(	(	PUNCT
abr-132	160	12	α	α	NOUN
abr-132	160	13	=	=	NOUN
abr-132	160	14	0.05	0.05	NUM
abr-132	160	15	)	)	PUNCT
abr-132	160	16	.	.	PUNCT
abr-132	161	1	results	result	NOUN
abr-132	161	2	in	in	ADP
abr-132	161	3	understanding	understand	VERB
abr-132	161	4	the	the	DET
abr-132	161	5	relationship	relationship	NOUN
abr-132	161	6	between	between	ADP
abr-132	161	7	software	software	NOUN
abr-132	161	8	piracy	piracy	NOUN
abr-132	161	9	and	and	CCONJ
abr-132	161	10	income	income	NOUN
abr-132	161	11	we	we	PRON
abr-132	161	12	examined	examine	VERB
abr-132	161	13	98	98	NUM
abr-132	161	14	countries	country	NOUN
abr-132	161	15	using	use	VERB
abr-132	161	16	correlation	correlation	NOUN
abr-132	161	17	tests	test	NOUN
abr-132	161	18	.	.	PUNCT
abr-132	162	1	(	(	PUNCT
abr-132	162	2	see	see	VERB
abr-132	162	3	table	table	NOUN
abr-132	162	4	2	2	NUM
abr-132	162	5	below	below	ADV
abr-132	162	6	)	)	PUNCT
abr-132	162	7	.	.	PUNCT
abr-132	163	1	we	we	PRON
abr-132	163	2	found	find	VERB
abr-132	163	3	that	that	SCONJ
abr-132	163	4	the	the	DET
abr-132	163	5	difference	difference	NOUN
abr-132	163	6	between	between	ADP
abr-132	163	7	r	r	NOUN
abr-132	163	8	for	for	ADP
abr-132	163	9	median	median	ADJ
abr-132	163	10	income	income	NOUN
abr-132	163	11	is	be	AUX
abr-132	163	12	statistically	statistically	ADV
abr-132	163	13	significant	significant	ADJ
abr-132	163	14	than	than	ADP
abr-132	163	15	r	r	NOUN
abr-132	163	16	for	for	ADP
abr-132	163	17	mean	mean	ADJ
abr-132	163	18	income	income	NOUN
abr-132	163	19	(	(	PUNCT
abr-132	163	20	alpha	alpha	NOUN
abr-132	163	21	=	=	NOUN
abr-132	163	22	0.05	0.05	NUM
abr-132	163	23	)	)	PUNCT
abr-132	163	24	,	,	PUNCT
abr-132	163	25	thus	thus	ADV
abr-132	163	26	rejecting	reject	VERB
abr-132	163	27	h2	h2	NOUN
abr-132	163	28	(	(	PUNCT
abr-132	163	29	mean	mean	INTJ
abr-132	163	30	gdp	gdp	NOUN
abr-132	163	31	vs.	vs.	ADP
abr-132	163	32	median	median	ADJ
abr-132	163	33	household	household	NOUN
abr-132	163	34	income	income	NOUN
abr-132	163	35	)	)	PUNCT
abr-132	163	36	.	.	PUNCT
abr-132	164	1	we	we	PRON
abr-132	164	2	find	find	VERB
abr-132	164	3	no	no	DET
abr-132	164	4	statistically	statistically	ADV
abr-132	164	5	significant	significant	ADJ
abr-132	164	6	differences	difference	NOUN
abr-132	164	7	within	within	ADP
abr-132	164	8	means	mean	NOUN
abr-132	164	9	nor	nor	CCONJ
abr-132	164	10	medians	median	NOUN
abr-132	164	11	between	between	ADP
abr-132	164	12	standard	standard	ADJ
abr-132	164	13	values	value	NOUN
abr-132	164	14	and	and	CCONJ
abr-132	164	15	square	square	ADJ
abr-132	164	16	root	root	NOUN
abr-132	164	17	values	value	NOUN
abr-132	164	18	,	,	PUNCT
abr-132	164	19	thus	thus	ADV
abr-132	164	20	not	not	PART
abr-132	164	21	rejecting	reject	VERB
abr-132	164	22	h1	h1	NOUN
abr-132	164	23	(	(	PUNCT
abr-132	164	24	mean	mean	INTJ
abr-132	164	25	gdp	gdp	NOUN
abr-132	164	26	vs.	vs.	ADP
abr-132	164	27	square	square	ADJ
abr-132	164	28	root	root	NOUN
abr-132	164	29	of	of	ADP
abr-132	164	30	mean	mean	PROPN
abr-132	164	31	gdp	gdp	NOUN
abr-132	164	32	)	)	PUNCT
abr-132	164	33	and	and	CCONJ
abr-132	164	34	h3	h3	NOUN
abr-132	164	35	(	(	PUNCT
abr-132	164	36	mean	mean	INTJ
abr-132	164	37	gdp	gdp	NOUN
abr-132	164	38	vs.	vs.	ADP
abr-132	164	39	square	square	ADJ
abr-132	164	40	root	root	NOUN
abr-132	164	41	of	of	ADP
abr-132	164	42	median	median	ADJ
abr-132	164	43	household	household	NOUN
abr-132	164	44	income	income	NOUN
abr-132	164	45	and	and	CCONJ
abr-132	164	46	national	national	ADJ
abr-132	164	47	software	software	NOUN
abr-132	164	48	piracy	piracy	NOUN
abr-132	164	49	58	58	NUM
abr-132	164	50	income	income	NOUN
abr-132	164	51	)	)	PUNCT
abr-132	164	52	.	.	PUNCT
abr-132	165	1	however	however	ADV
abr-132	165	2	,	,	PUNCT
abr-132	165	3	model	model	NOUN
abr-132	165	4	fit	fit	PROPN
abr-132	165	5	(	(	PUNCT
abr-132	165	6	r2	r2	PROPN
abr-132	165	7	)	)	PUNCT
abr-132	165	8	improves	improve	VERB
abr-132	165	9	consistently	consistently	ADV
abr-132	165	10	as	as	SCONJ
abr-132	165	11	we	we	PRON
abr-132	165	12	move	move	VERB
abr-132	165	13	from	from	ADP
abr-132	165	14	mean	mean	PROPN
abr-132	165	15	gdp	gdp	NOUN
abr-132	165	16	to	to	ADP
abr-132	165	17	the	the	DET
abr-132	165	18	square	square	ADJ
abr-132	165	19	root	root	NOUN
abr-132	165	20	of	of	ADP
abr-132	165	21	median	median	ADJ
abr-132	165	22	income	income	NOUN
abr-132	165	23	.	.	PUNCT
abr-132	166	1	this	this	PRON
abr-132	166	2	suggests	suggest	VERB
abr-132	166	3	that	that	SCONJ
abr-132	166	4	capturing	capture	VERB
abr-132	166	5	the	the	DET
abr-132	166	6	diminishing	diminish	VERB
abr-132	166	7	marginal	marginal	ADJ
abr-132	166	8	utility	utility	NOUN
abr-132	166	9	of	of	ADP
abr-132	166	10	income	income	NOUN
abr-132	166	11	is	be	AUX
abr-132	166	12	an	an	DET
abr-132	166	13	important	important	ADJ
abr-132	166	14	step	step	NOUN
abr-132	166	15	in	in	ADP
abr-132	166	16	understanding	understand	VERB
abr-132	166	17	software	software	NOUN
abr-132	166	18	piracy	piracy	NOUN
abr-132	166	19	.	.	PUNCT
abr-132	167	1	although	although	SCONJ
abr-132	167	2	h1	h1	NOUN
abr-132	167	3	and	and	CCONJ
abr-132	167	4	h3	h3	NOUN
abr-132	167	5	were	be	AUX
abr-132	167	6	not	not	PART
abr-132	167	7	rejected	reject	VERB
abr-132	167	8	using	use	VERB
abr-132	167	9	conventional	conventional	ADJ
abr-132	167	10	hypothesis	hypothesis	NOUN
abr-132	167	11	testing	testing	NOUN
abr-132	167	12	assuming	assume	VERB
abr-132	167	13	a	a	DET
abr-132	167	14	sample	sample	NOUN
abr-132	167	15	size	size	NOUN
abr-132	167	16	of	of	ADP
abr-132	167	17	98	98	NUM
abr-132	167	18	,	,	PUNCT
abr-132	167	19	recall	recall	VERB
abr-132	167	20	there	there	PRON
abr-132	167	21	are	be	VERB
abr-132	167	22	only	only	ADV
abr-132	167	23	108	108	NUM
abr-132	167	24	countries	country	NOUN
abr-132	167	25	with	with	ADP
abr-132	167	26	data	datum	NOUN
abr-132	167	27	on	on	ADP
abr-132	167	28	software	software	NOUN
abr-132	167	29	piracy	piracy	NOUN
abr-132	167	30	rates	rate	NOUN
abr-132	167	31	from	from	ADP
abr-132	167	32	bsa	bsa	PROPN
abr-132	167	33	.	.	PUNCT
abr-132	168	1	therefore	therefore	ADV
abr-132	168	2	,	,	PUNCT
abr-132	168	3	if	if	SCONJ
abr-132	168	4	one	one	PRON
abr-132	168	5	considers	consider	VERB
abr-132	168	6	bsa	bsa	NOUN
abr-132	168	7	countries	country	NOUN
abr-132	168	8	to	to	PART
abr-132	168	9	be	be	AUX
abr-132	168	10	the	the	DET
abr-132	168	11	population	population	NOUN
abr-132	168	12	of	of	ADP
abr-132	168	13	interest	interest	NOUN
abr-132	168	14	,	,	PUNCT
abr-132	168	15	we	we	PRON
abr-132	168	16	have	have	VERB
abr-132	168	17	near	near	ADJ
abr-132	168	18	-	-	PUNCT
abr-132	168	19	population	population	NOUN
abr-132	168	20	level	level	NOUN
abr-132	168	21	coverage	coverage	NOUN
abr-132	168	22	in	in	ADP
abr-132	168	23	this	this	DET
abr-132	168	24	study	study	NOUN
abr-132	168	25	.	.	PUNCT
abr-132	169	1	there	there	PRON
abr-132	169	2	are	be	VERB
abr-132	169	3	only	only	ADV
abr-132	169	4	196	196	NUM
abr-132	169	5	independent	independent	ADJ
abr-132	169	6	countries	country	NOUN
abr-132	169	7	in	in	ADP
abr-132	169	8	the	the	DET
abr-132	169	9	world	world	NOUN
abr-132	169	10	.	.	PUNCT
abr-132	170	1	the	the	DET
abr-132	170	2	108	108	NUM
abr-132	170	3	countries	country	NOUN
abr-132	170	4	selected	select	VERB
abr-132	170	5	for	for	ADP
abr-132	170	6	inclusion	inclusion	NOUN
abr-132	170	7	in	in	ADP
abr-132	170	8	the	the	DET
abr-132	170	9	bsa	bsa	PROPN
abr-132	170	10	study	study	NOUN
abr-132	170	11	is	be	AUX
abr-132	170	12	not	not	PART
abr-132	170	13	a	a	DET
abr-132	170	14	random	random	ADJ
abr-132	170	15	sample	sample	NOUN
abr-132	170	16	from	from	ADP
abr-132	170	17	those	those	DET
abr-132	170	18	196	196	NUM
abr-132	170	19	.	.	PUNCT
abr-132	171	1	the	the	DET
abr-132	171	2	bsa	bsa	PROPN
abr-132	171	3	study	study	NOUN
abr-132	171	4	focuses	focus	VERB
abr-132	171	5	on	on	ADP
abr-132	171	6	the	the	DET
abr-132	171	7	largest	large	ADJ
abr-132	171	8	and	and	CCONJ
abr-132	171	9	richest	rich	ADJ
abr-132	171	10	countries	country	NOUN
abr-132	171	11	given	give	VERB
abr-132	171	12	that	that	SCONJ
abr-132	171	13	bsa	bsa	PROPN
abr-132	171	14	member	member	NOUN
abr-132	171	15	companies	company	NOUN
abr-132	171	16	would	would	AUX
abr-132	171	17	have	have	AUX
abr-132	171	18	the	the	DET
abr-132	171	19	most	most	ADJ
abr-132	171	20	at	at	ADP
abr-132	171	21	stake	stake	NOUN
abr-132	171	22	in	in	ADP
abr-132	171	23	those	those	DET
abr-132	171	24	countries	country	NOUN
abr-132	171	25	and	and	CCONJ
abr-132	171	26	given	give	VERB
abr-132	171	27	that	that	SCONJ
abr-132	171	28	those	those	DET
abr-132	171	29	countries	country	NOUN
abr-132	171	30	tend	tend	VERB
abr-132	171	31	to	to	PART
abr-132	171	32	have	have	VERB
abr-132	171	33	better	well	ADJ
abr-132	171	34	data	datum	NOUN
abr-132	171	35	availability	availability	NOUN
abr-132	171	36	.	.	PUNCT
abr-132	172	1	together	together	ADV
abr-132	172	2	,	,	PUNCT
abr-132	172	3	the	the	DET
abr-132	172	4	98	98	NUM
abr-132	172	5	countries	country	NOUN
abr-132	172	6	included	include	VERB
abr-132	172	7	in	in	ADP
abr-132	172	8	the	the	DET
abr-132	172	9	bivariate	bivariate	ADJ
abr-132	172	10	analysis	analysis	NOUN
abr-132	172	11	account	account	VERB
abr-132	172	12	for	for	ADP
abr-132	172	13	over	over	ADP
abr-132	172	14	94	94	NUM
abr-132	172	15	%	%	NOUN
abr-132	172	16	of	of	ADP
abr-132	172	17	the	the	DET
abr-132	172	18	world	world	NOUN
abr-132	172	19	’s	’s	PART
abr-132	172	20	gdp	gdp	PROPN
abr-132	172	21	.	.	PROPN
abr-132	172	22	table	table	PROPN
abr-132	172	23	2	2	NUM
abr-132	172	24	.	.	PUNCT
abr-132	172	25	pearson	pearson	PROPN
abr-132	172	26	correlation	correlation	NOUN
abr-132	172	27	coefficients	coefficient	NOUN
abr-132	172	28	and	and	CCONJ
abr-132	172	29	r2	r2	PROPN
abr-132	172	30	(	(	PUNCT
abr-132	172	31	)	)	PUNCT
abr-132	172	32	for	for	ADP
abr-132	172	33	different	different	ADJ
abr-132	172	34	income	income	NOUN
abr-132	172	35	measures	measure	NOUN
abr-132	172	36	with	with	ADP
abr-132	172	37	software	software	NOUN
abr-132	172	38	piracy	piracy	NOUN
abr-132	172	39	income	income	NOUN
abr-132	172	40	measure	measure	NOUN
abr-132	172	41	all	all	DET
abr-132	172	42	countries	country	NOUN
abr-132	172	43	with	with	ADP
abr-132	172	44	data	datum	NOUN
abr-132	172	45	coverage	coverage	NOUN
abr-132	172	46	of	of	ADP
abr-132	172	47	piracy	piracy	NOUN
abr-132	172	48	and	and	CCONJ
abr-132	172	49	income	income	NOUN
abr-132	172	50	(	(	PUNCT
abr-132	172	51	n	n	NOUN
abr-132	172	52	=	=	SYM
abr-132	172	53	98	98	NUM
abr-132	172	54	)	)	PUNCT
abr-132	172	55	countries	country	NOUN
abr-132	172	56	with	with	ADP
abr-132	172	57	full	full	ADJ
abr-132	172	58	data	datum	NOUN
abr-132	172	59	coverage	coverage	NOUN
abr-132	172	60	of	of	ADP
abr-132	172	61	piracy	piracy	NOUN
abr-132	172	62	,	,	PUNCT
abr-132	172	63	income	income	NOUN
abr-132	172	64	,	,	PUNCT
abr-132	172	65	corruption	corruption	NOUN
abr-132	172	66	,	,	PUNCT
abr-132	172	67	collectivism	collectivism	NOUN
abr-132	172	68	,	,	PUNCT
abr-132	172	69	and	and	CCONJ
abr-132	172	70	ipp	ipp	PROPN
abr-132	172	71	(	(	PUNCT
abr-132	172	72	n	n	NOUN
abr-132	172	73	=	=	SYM
abr-132	172	74	61	61	NUM
abr-132	172	75	)	)	PUNCT
abr-132	172	76	mean	mean	NOUN
abr-132	172	77	gdp	gdp	NOUN
abr-132	172	78	0.674	0.674	NUM
abr-132	172	79	(	(	PUNCT
abr-132	172	80	0.454	0.454	NUM
abr-132	172	81	)	)	PUNCT
abr-132	172	82	0.825	0.825	NUM
abr-132	172	83	(	(	PUNCT
abr-132	172	84	0.681	0.681	NUM
abr-132	172	85	)	)	PUNCT
abr-132	172	86	square	square	ADJ
abr-132	172	87	root	root	NOUN
abr-132	172	88	of	of	ADP
abr-132	172	89	mean	mean	PROPN
abr-132	172	90	gdp	gdp	NOUN
abr-132	172	91	0.764	0.764	NUM
abr-132	172	92	(	(	PUNCT
abr-132	172	93	0.584	0.584	NUM
abr-132	172	94	)	)	PUNCT
abr-132	172	95	0.851	0.851	NUM
abr-132	172	96	(	(	PUNCT
abr-132	172	97	0.724	0.724	NUM
abr-132	172	98	)	)	PUNCT
abr-132	172	99	median	median	ADJ
abr-132	172	100	household	household	NOUN
abr-132	172	101	income	income	NOUN
abr-132	172	102	0.836	0.836	NUM
abr-132	172	103	(	(	PUNCT
abr-132	172	104	0.699	0.699	NUM
abr-132	172	105	)	)	PUNCT
abr-132	172	106	0.847	0.847	NUM
abr-132	172	107	(	(	PUNCT
abr-132	172	108	0.717	0.717	NUM
abr-132	172	109	)	)	PUNCT
abr-132	172	110	square	square	ADJ
abr-132	172	111	root	root	NOUN
abr-132	172	112	of	of	ADP
abr-132	172	113	median	median	ADJ
abr-132	172	114	household	household	NOUN
abr-132	172	115	income	income	NOUN
abr-132	172	116	0.851	0.851	NUM
abr-132	172	117	(	(	PUNCT
abr-132	172	118	0.724	0.724	NUM
abr-132	172	119	)	)	PUNCT
abr-132	172	120	0.873	0.873	NUM
abr-132	172	121	(	(	PUNCT
abr-132	172	122	0.762	0.762	NUM
abr-132	172	123	)	)	PUNCT
abr-132	172	124	table	table	NOUN
abr-132	172	125	3	3	NUM
abr-132	172	126	.	.	PUNCT
abr-132	173	1	regression	regression	NOUN
abr-132	173	2	results	result	NOUN
abr-132	173	3	for	for	ADP
abr-132	173	4	square	square	ADJ
abr-132	173	5	root	root	NOUN
abr-132	173	6	of	of	ADP
abr-132	173	7	median	median	ADJ
abr-132	173	8	household	household	NOUN
abr-132	173	9	income	income	NOUN
abr-132	173	10	independent	independent	ADJ
abr-132	173	11	variable	variable	ADJ
abr-132	173	12	coefficient	coefficient	NOUN
abr-132	173	13	p	p	NOUN
abr-132	173	14	-	-	PUNCT
abr-132	173	15	value	value	NOUN
abr-132	173	16	hypothesis	hypothesis	NOUN
abr-132	173	17	tested	test	VERB
abr-132	173	18	constant	constant	ADJ
abr-132	173	19	84.553	84.553	NUM
abr-132	173	20	0.000	0.000	NUM
abr-132	173	21	*	*	PUNCT
abr-132	173	22	n	n	CCONJ
abr-132	173	23	/	/	SYM
abr-132	173	24	a	a	DET
abr-132	173	25	corruption	corruption	NOUN
abr-132	173	26	index	index	NOUN
abr-132	173	27	-0.954	-0.954	PUNCT
abr-132	173	28	0.453	0.453	NUM
abr-132	173	29	h5	h5	PROPN
abr-132	173	30	ipp	ipp	PROPN
abr-132	173	31	(	(	PUNCT
abr-132	173	32	competiveness	competiveness	NOUN
abr-132	173	33	index	index	NOUN
abr-132	173	34	)	)	PUNCT
abr-132	173	35	-5.346	-5.346	PUNCT
abr-132	173	36	0.016	0.016	NUM
abr-132	173	37	*	*	PUNCT
abr-132	173	38	h7	h7	PROPN
abr-132	173	39	collectivism	collectivism	NOUN
abr-132	173	40	index	index	NOUN
abr-132	173	41	0.213	0.213	NUM
abr-132	173	42	0.000	0.000	NUM
abr-132	173	43	*	*	PUNCT
abr-132	173	44	h6	h6	PROPN
abr-132	173	45	square	square	ADJ
abr-132	173	46	root	root	NOUN
abr-132	173	47	of	of	ADP
abr-132	173	48	median	median	ADJ
abr-132	173	49	hh	hh	PROPN
abr-132	173	50	income	income	NOUN
abr-132	173	51	-0.136	-0.136	PUNCT
abr-132	173	52	0.002	0.002	NUM
abr-132	173	53	*	*	PUNCT
abr-132	173	54	h4	h4	NOUN
abr-132	173	55	sample	sample	NOUN
abr-132	173	56	size	size	NOUN
abr-132	173	57	61	61	NUM
abr-132	173	58	adj	adj	NOUN
abr-132	174	1	.	.	PUNCT
abr-132	174	2	r2	r2	PROPN
abr-132	174	3	0.856	0.856	NUM
abr-132	174	4	f	f	PROPN
abr-132	174	5	statistic	statistic	VERB
abr-132	174	6	89.891	89.891	NUM
abr-132	174	7	kyper	kyper	NOUN
abr-132	174	8	59	59	NUM
abr-132	174	9	using	use	VERB
abr-132	174	10	the	the	DET
abr-132	174	11	square	square	ADJ
abr-132	174	12	root	root	NOUN
abr-132	174	13	of	of	ADP
abr-132	174	14	median	median	ADJ
abr-132	174	15	household	household	NOUN
abr-132	174	16	income	income	NOUN
abr-132	174	17	in	in	ADP
abr-132	174	18	table	table	NOUN
abr-132	174	19	3	3	NUM
abr-132	174	20	below	below	ADP
abr-132	174	21	highlights	highlight	NOUN
abr-132	174	22	the	the	DET
abr-132	174	23	multiple	multiple	ADJ
abr-132	174	24	regression	regression	NOUN
abr-132	174	25	findings	finding	NOUN
abr-132	174	26	which	which	PRON
abr-132	174	27	allow	allow	VERB
abr-132	174	28	us	we	PRON
abr-132	174	29	to	to	PART
abr-132	174	30	further	far	ADV
abr-132	174	31	reject	reject	VERB
abr-132	174	32	hypotheses	hypothesis	NOUN
abr-132	174	33	h4	h4	PROPN
abr-132	174	34	(	(	PUNCT
abr-132	174	35	square	square	ADJ
abr-132	174	36	root	root	NOUN
abr-132	174	37	of	of	ADP
abr-132	174	38	income	income	NOUN
abr-132	174	39	)	)	PUNCT
abr-132	174	40	,	,	PUNCT
abr-132	174	41	h6	h6	PROPN
abr-132	174	42	(	(	PUNCT
abr-132	174	43	collectivism	collectivism	NOUN
abr-132	174	44	)	)	PUNCT
abr-132	174	45	,	,	PUNCT
abr-132	174	46	and	and	CCONJ
abr-132	174	47	h7	h7	PROPN
abr-132	174	48	(	(	PUNCT
abr-132	174	49	intellectual	intellectual	ADJ
abr-132	174	50	property	property	NOUN
abr-132	174	51	protection	protection	NOUN
abr-132	174	52	)	)	PUNCT
abr-132	174	53	.	.	PUNCT
abr-132	175	1	it	it	PRON
abr-132	175	2	shows	show	VERB
abr-132	175	3	that	that	SCONJ
abr-132	175	4	when	when	SCONJ
abr-132	175	5	we	we	PRON
abr-132	175	6	use	use	VERB
abr-132	175	7	the	the	DET
abr-132	175	8	square	square	ADJ
abr-132	175	9	root	root	NOUN
abr-132	175	10	of	of	ADP
abr-132	175	11	median	median	ADJ
abr-132	175	12	household	household	NOUN
abr-132	175	13	income	income	NOUN
abr-132	175	14	as	as	ADP
abr-132	175	15	the	the	DET
abr-132	175	16	income	income	NOUN
abr-132	175	17	metric	metric	ADJ
abr-132	175	18	along	along	ADP
abr-132	175	19	with	with	ADP
abr-132	175	20	all	all	DET
abr-132	175	21	other	other	ADJ
abr-132	175	22	non	non	ADJ
abr-132	175	23	-	-	ADJ
abr-132	175	24	income	income	ADJ
abr-132	175	25	explanatory	explanatory	ADJ
abr-132	175	26	variables	variable	NOUN
abr-132	175	27	,	,	PUNCT
abr-132	175	28	the	the	DET
abr-132	175	29	r2	r2	PROPN
abr-132	175	30	value	value	NOUN
abr-132	175	31	is	be	AUX
abr-132	175	32	0.856	0.856	NUM
abr-132	175	33	.	.	PUNCT
abr-132	176	1	note	note	VERB
abr-132	176	2	that	that	SCONJ
abr-132	176	3	the	the	DET
abr-132	176	4	universe	universe	NOUN
abr-132	176	5	of	of	ADP
abr-132	176	6	countries	country	NOUN
abr-132	176	7	included	include	VERB
abr-132	176	8	is	be	AUX
abr-132	176	9	smaller	small	ADJ
abr-132	176	10	because	because	SCONJ
abr-132	176	11	of	of	ADP
abr-132	176	12	the	the	DET
abr-132	176	13	lack	lack	NOUN
abr-132	176	14	of	of	ADP
abr-132	176	15	coverage	coverage	NOUN
abr-132	176	16	for	for	ADP
abr-132	176	17	certain	certain	ADJ
abr-132	176	18	non	non	ADJ
abr-132	176	19	-	-	ADJ
abr-132	176	20	income	income	ADJ
abr-132	176	21	variables	variable	NOUN
abr-132	176	22	.	.	PUNCT
abr-132	177	1	all	all	PRON
abr-132	177	2	of	of	ADP
abr-132	177	3	the	the	DET
abr-132	177	4	variables	variable	NOUN
abr-132	177	5	are	be	AUX
abr-132	177	6	significant	significant	ADJ
abr-132	177	7	except	except	SCONJ
abr-132	177	8	for	for	ADP
abr-132	177	9	corruption	corruption	NOUN
abr-132	177	10	.	.	PUNCT
abr-132	178	1	corruption	corruption	NOUN
abr-132	178	2	(	(	PUNCT
abr-132	178	3	h5	h5	PROPN
abr-132	178	4	)	)	PUNCT
abr-132	178	5	is	be	AUX
abr-132	178	6	not	not	PART
abr-132	178	7	significant	significant	ADJ
abr-132	178	8	largely	largely	ADV
abr-132	178	9	because	because	SCONJ
abr-132	178	10	of	of	ADP
abr-132	178	11	collinearity	collinearity	NOUN
abr-132	178	12	with	with	ADP
abr-132	178	13	income	income	NOUN
abr-132	178	14	as	as	SCONJ
abr-132	178	15	shown	show	VERB
abr-132	178	16	and	and	CCONJ
abr-132	178	17	discussed	discuss	VERB
abr-132	178	18	below	below	ADV
abr-132	178	19	in	in	ADP
abr-132	178	20	table	table	NOUN
abr-132	178	21	4	4	NUM
abr-132	178	22	.	.	PUNCT
abr-132	179	1	in	in	ADP
abr-132	179	2	table	table	NOUN
abr-132	179	3	4	4	NUM
abr-132	179	4	we	we	PRON
abr-132	179	5	present	present	VERB
abr-132	179	6	results	result	NOUN
abr-132	179	7	for	for	ADP
abr-132	179	8	four	four	NUM
abr-132	179	9	different	different	ADJ
abr-132	179	10	regressions	regression	NOUN
abr-132	179	11	with	with	ADP
abr-132	179	12	each	each	PRON
abr-132	179	13	including	include	VERB
abr-132	179	14	a	a	DET
abr-132	179	15	different	different	ADJ
abr-132	179	16	income	income	NOUN
abr-132	179	17	measure	measure	NOUN
abr-132	179	18	.	.	PUNCT
abr-132	180	1	the	the	DET
abr-132	180	2	universe	universe	NOUN
abr-132	180	3	of	of	ADP
abr-132	180	4	countries	country	NOUN
abr-132	180	5	included	include	VERB
abr-132	180	6	in	in	ADP
abr-132	180	7	these	these	DET
abr-132	180	8	regressions	regression	NOUN
abr-132	180	9	is	be	AUX
abr-132	180	10	the	the	DET
abr-132	180	11	61	61	NUM
abr-132	180	12	countries	country	NOUN
abr-132	180	13	with	with	ADP
abr-132	180	14	full	full	ADJ
abr-132	180	15	coverage	coverage	NOUN
abr-132	180	16	of	of	ADP
abr-132	180	17	all	all	DET
abr-132	180	18	the	the	DET
abr-132	180	19	variables	variable	NOUN
abr-132	180	20	.	.	PUNCT
abr-132	181	1	these	these	DET
abr-132	181	2	61	61	NUM
abr-132	181	3	countries	country	NOUN
abr-132	181	4	make	make	VERB
abr-132	181	5	up	up	ADP
abr-132	181	6	90	90	NUM
abr-132	181	7	%	%	NOUN
abr-132	181	8	of	of	ADP
abr-132	181	9	world	world	PROPN
abr-132	181	10	gdp	gdp	PROPN
abr-132	181	11	.	.	PUNCT
abr-132	182	1	regressions	regression	NOUN
abr-132	182	2	#	#	SYM
abr-132	182	3	1	1	NUM
abr-132	182	4	and	and	CCONJ
abr-132	182	5	#	#	SYM
abr-132	182	6	2	2	NUM
abr-132	182	7	use	use	NOUN
abr-132	182	8	mean	mean	VERB
abr-132	182	9	gdp	gdp	NOUN
abr-132	182	10	per	per	ADP
abr-132	182	11	capita	capita	NOUN
abr-132	182	12	and	and	CCONJ
abr-132	182	13	its	its	PRON
abr-132	182	14	square	square	ADJ
abr-132	182	15	root	root	NOUN
abr-132	182	16	respectively	respectively	ADV
abr-132	182	17	.	.	PUNCT
abr-132	183	1	regressions	regression	NOUN
abr-132	183	2	#	#	SYM
abr-132	183	3	3	3	NUM
abr-132	183	4	and	and	CCONJ
abr-132	183	5	#	#	SYM
abr-132	183	6	4	4	NUM
abr-132	183	7	use	use	VERB
abr-132	183	8	median	median	ADJ
abr-132	183	9	household	household	NOUN
abr-132	183	10	income	income	NOUN
abr-132	183	11	and	and	CCONJ
abr-132	183	12	its	its	PRON
abr-132	183	13	square	square	ADJ
abr-132	183	14	root	root	NOUN
abr-132	183	15	respectively	respectively	ADV
abr-132	183	16	.	.	PUNCT
abr-132	184	1	regression	regression	VERB
abr-132	184	2	#	#	SYM
abr-132	184	3	1	1	NUM
abr-132	184	4	in	in	ADP
abr-132	184	5	the	the	DET
abr-132	184	6	table	table	NOUN
abr-132	184	7	shows	show	VERB
abr-132	184	8	that	that	SCONJ
abr-132	184	9	mean	mean	VERB
abr-132	184	10	gdp	gdp	NOUN
abr-132	184	11	per	per	ADP
abr-132	184	12	capita	capita	NOUN
abr-132	184	13	is	be	AUX
abr-132	184	14	not	not	PART
abr-132	184	15	significant	significant	ADJ
abr-132	184	16	when	when	SCONJ
abr-132	184	17	the	the	DET
abr-132	184	18	other	other	ADJ
abr-132	184	19	explanatory	explanatory	ADJ
abr-132	184	20	variables	variable	NOUN
abr-132	184	21	are	be	AUX
abr-132	184	22	included	include	VERB
abr-132	184	23	.	.	PUNCT
abr-132	185	1	the	the	DET
abr-132	185	2	other	other	ADJ
abr-132	185	3	income	income	NOUN
abr-132	185	4	variables	variable	NOUN
abr-132	185	5	are	be	AUX
abr-132	185	6	significant	significant	ADJ
abr-132	185	7	in	in	ADP
abr-132	185	8	their	their	PRON
abr-132	185	9	respective	respective	ADJ
abr-132	185	10	regressions	regression	NOUN
abr-132	185	11	.	.	PUNCT
abr-132	186	1	the	the	DET
abr-132	186	2	relationship	relationship	NOUN
abr-132	186	3	between	between	ADP
abr-132	186	4	mean	mean	PROPN
abr-132	186	5	gdp	gdp	NOUN
abr-132	186	6	per	per	ADP
abr-132	186	7	capita	capita	X
abr-132	186	8	and	and	CCONJ
abr-132	186	9	software	software	NOUN
abr-132	186	10	piracy	piracy	NOUN
abr-132	186	11	is	be	AUX
abr-132	186	12	simply	simply	ADV
abr-132	186	13	not	not	PART
abr-132	186	14	strong	strong	ADJ
abr-132	186	15	enough	enough	ADV
abr-132	186	16	to	to	PART
abr-132	186	17	overcome	overcome	VERB
abr-132	186	18	the	the	DET
abr-132	186	19	effect	effect	NOUN
abr-132	186	20	of	of	ADP
abr-132	186	21	collinearity	collinearity	NOUN
abr-132	186	22	on	on	ADP
abr-132	186	23	statistical	statistical	ADJ
abr-132	186	24	significance	significance	NOUN
abr-132	186	25	.	.	PUNCT
abr-132	187	1	that	that	PRON
abr-132	187	2	is	be	AUX
abr-132	187	3	not	not	PART
abr-132	187	4	the	the	DET
abr-132	187	5	case	case	NOUN
abr-132	187	6	for	for	ADP
abr-132	187	7	the	the	DET
abr-132	187	8	other	other	ADJ
abr-132	187	9	income	income	NOUN
abr-132	187	10	measures	measure	NOUN
abr-132	187	11	,	,	PUNCT
abr-132	187	12	which	which	PRON
abr-132	187	13	as	as	SCONJ
abr-132	187	14	we	we	PRON
abr-132	187	15	saw	see	VERB
abr-132	187	16	earlier	early	ADV
abr-132	187	17	have	have	VERB
abr-132	187	18	stronger	strong	ADJ
abr-132	187	19	relationships	relationship	NOUN
abr-132	187	20	with	with	ADP
abr-132	187	21	software	software	NOUN
abr-132	187	22	piracy	piracy	NOUN
abr-132	187	23	than	than	SCONJ
abr-132	187	24	mean	mean	VERB
abr-132	187	25	gdp	gdp	NOUN
abr-132	187	26	per	per	ADP
abr-132	187	27	capita	capita	NOUN
abr-132	187	28	.	.	PUNCT
abr-132	188	1	we	we	PRON
abr-132	188	2	again	again	ADV
abr-132	188	3	find	find	VERB
abr-132	188	4	that	that	SCONJ
abr-132	188	5	in	in	ADP
abr-132	188	6	all	all	DET
abr-132	188	7	regressions	regression	NOUN
abr-132	188	8	,	,	PUNCT
abr-132	188	9	corruption	corruption	NOUN
abr-132	188	10	is	be	AUX
abr-132	188	11	not	not	PART
abr-132	188	12	statistically	statistically	ADV
abr-132	188	13	significant	significant	ADJ
abr-132	188	14	.	.	PUNCT
abr-132	189	1	although	although	SCONJ
abr-132	189	2	intellectual	intellectual	ADJ
abr-132	189	3	property	property	NOUN
abr-132	189	4	protection	protection	NOUN
abr-132	189	5	(	(	PUNCT
abr-132	189	6	ipp	ipp	PROPN
abr-132	189	7	)	)	PUNCT
abr-132	189	8	and	and	CCONJ
abr-132	189	9	collectivism	collectivism	NOUN
abr-132	189	10	are	be	AUX
abr-132	189	11	also	also	ADV
abr-132	189	12	correlated	correlate	VERB
abr-132	189	13	with	with	ADP
abr-132	189	14	the	the	DET
abr-132	189	15	other	other	ADJ
abr-132	189	16	explanatory	explanatory	ADJ
abr-132	189	17	variables	variable	NOUN
abr-132	189	18	,	,	PUNCT
abr-132	189	19	both	both	PRON
abr-132	189	20	of	of	ADP
abr-132	189	21	these	these	DET
abr-132	189	22	variables	variable	NOUN
abr-132	189	23	were	be	AUX
abr-132	189	24	significant	significant	ADJ
abr-132	189	25	in	in	ADP
abr-132	189	26	each	each	DET
abr-132	189	27	regression	regression	NOUN
abr-132	189	28	at	at	ADP
abr-132	189	29	a	a	DET
abr-132	189	30	95	95	NUM
abr-132	189	31	%	%	NOUN
abr-132	189	32	confidence	confidence	NOUN
abr-132	189	33	level	level	NOUN
abr-132	189	34	.	.	PUNCT
abr-132	190	1	table	table	NOUN
abr-132	190	2	4	4	NUM
abr-132	190	3	.	.	NOUN
abr-132	190	4	coefficients	coefficient	NOUN
abr-132	190	5	and	and	CCONJ
abr-132	190	6	p	p	NOUN
abr-132	190	7	-	-	PUNCT
abr-132	190	8	values	value	NOUN
abr-132	190	9	(	(	PUNCT
abr-132	190	10	)	)	PUNCT
abr-132	190	11	from	from	ADP
abr-132	190	12	regressions	regression	NOUN
abr-132	190	13	predicting	predict	VERB
abr-132	190	14	bsa	bsa	PROPN
abr-132	190	15	piracy	piracy	NOUN
abr-132	190	16	rates	rate	NOUN
abr-132	190	17	across	across	ADP
abr-132	190	18	countries	country	NOUN
abr-132	190	19	in	in	ADP
abr-132	190	20	2009	2009	NUM
abr-132	190	21	,	,	PUNCT
abr-132	190	22	by	by	ADP
abr-132	190	23	income	income	NOUN
abr-132	190	24	metric	metric	ADJ
abr-132	190	25	used	use	VERB
abr-132	190	26	independent	independent	ADJ
abr-132	190	27	variable	variable	ADJ
abr-132	190	28	regression	regression	NOUN
abr-132	190	29	#	#	SYM
abr-132	190	30	1	1	NUM
abr-132	190	31	mean	mean	NOUN
abr-132	190	32	gdp	gdp	NOUN
abr-132	190	33	regression	regression	NOUN
abr-132	190	34	#	#	SYM
abr-132	190	35	2	2	NUM
abr-132	190	36	!	!	PUNCT
abr-132	191	1	"	"	PUNCT
abr-132	191	2	#	#	SYM
abr-132	191	3	$	$	SYM
abr-132	191	4	!	!	PUNCT
abr-132	191	5	"	"	PUNCT
abr-132	191	6	#	#	NOUN
abr-132	191	7	regression	regression	NOUN
abr-132	191	8	#	#	SYM
abr-132	191	9	3	3	NUM
abr-132	191	10	median	median	ADJ
abr-132	191	11	income	income	NOUN
abr-132	191	12	regression	regression	NOUN
abr-132	191	13	#	#	SYM
abr-132	191	14	4	4	NUM
abr-132	191	15	!	!	PUNCT
abr-132	191	16	"	"	PUNCT
abr-132	191	17	#	#	SYM
abr-132	191	18	$	$	SYM
abr-132	191	19	%	%	NOUN
abr-132	191	20	&	&	CCONJ
abr-132	191	21	!	!	PUNCT
abr-132	191	22	"	"	PUNCT
abr-132	191	23	#	#	SYM
abr-132	191	24	$	$	NUM
abr-132	191	25	%	%	NOUN
abr-132	191	26	&	&	CCONJ
abr-132	191	27	constant	constant	ADJ
abr-132	191	28	76.928	76.928	NUM
abr-132	191	29	(	(	PUNCT
abr-132	191	30	0.000	0.000	NUM
abr-132	191	31	)	)	PUNCT
abr-132	191	32	85.421	85.421	NUM
abr-132	191	33	(	(	PUNCT
abr-132	191	34	0.000	0.000	NUM
abr-132	191	35	)	)	PUNCT
abr-132	191	36	76.465	76.465	NUM
abr-132	191	37	(	(	PUNCT
abr-132	191	38	0.000	0.000	NUM
abr-132	191	39	)	)	PUNCT
abr-132	191	40	84.553	84.553	NUM
abr-132	191	41	(	(	PUNCT
abr-132	191	42	0.000	0.000	NUM
abr-132	191	43	)	)	PUNCT
abr-132	191	44	corruption	corruption	NOUN
abr-132	191	45	index	index	NOUN
abr-132	191	46	-1.962	-1.962	X
abr-132	191	47	(	(	PUNCT
abr-132	191	48	0.137	0.137	NUM
abr-132	191	49	)	)	PUNCT
abr-132	191	50	-1.445	-1.445	NOUN
abr-132	191	51	(	(	PUNCT
abr-132	191	52	0.255	0.255	NUM
abr-132	191	53	)	)	PUNCT
abr-132	191	54	-1.512	-1.512	PUNCT
abr-132	191	55	(	(	PUNCT
abr-132	191	56	0.255	0.255	NUM
abr-132	191	57	)	)	PUNCT
abr-132	191	58	-0.954	-0.954	NOUN
abr-132	191	59	(	(	PUNCT
abr-132	191	60	0.453	0.453	NUM
abr-132	191	61	)	)	PUNCT
abr-132	191	62	ipp	ipp	PROPN
abr-132	191	63	(	(	PUNCT
abr-132	191	64	competiveness	competiveness	NOUN
abr-132	191	65	index	index	NOUN
abr-132	191	66	)	)	PUNCT
abr-132	191	67	-5.409	-5.409	PUNCT
abr-132	191	68	(	(	PUNCT
abr-132	191	69	0.025	0.025	NUM
abr-132	191	70	)	)	PUNCT
abr-132	191	71	*	*	PUNCT
abr-132	191	72	-5.177	-5.177	NUM
abr-132	191	73	(	(	PUNCT
abr-132	191	74	0.024	0.024	NUM
abr-132	191	75	)	)	PUNCT
abr-132	191	76	*	*	PUNCT
abr-132	191	77	-5.541	-5.541	PRON
abr-132	191	78	(	(	PUNCT
abr-132	191	79	0.018	0.018	NUM
abr-132	191	80	)	)	PUNCT
abr-132	191	81	*	*	PUNCT
abr-132	192	1	-5.346	-5.346	PUNCT
abr-132	192	2	(	(	PUNCT
abr-132	192	3	0.016	0.016	NUM
abr-132	192	4	)	)	PUNCT
abr-132	192	5	*	*	PROPN
abr-132	192	6	collectivism	collectivism	NOUN
abr-132	192	7	index	index	NOUN
abr-132	192	8	0.2500	0.2500	NUM
abr-132	192	9	(	(	PUNCT
abr-132	192	10	0.000	0.000	NUM
abr-132	192	11	)	)	PUNCT
abr-132	193	1	*	*	SYM
abr-132	193	2	0.231	0.231	NUM
abr-132	193	3	(	(	PUNCT
abr-132	193	4	0.000	0.000	NUM
abr-132	193	5	)	)	PUNCT
abr-132	193	6	*	*	PUNCT
abr-132	193	7	0.234	0.234	NUM
abr-132	193	8	(	(	PUNCT
abr-132	193	9	0.000	0.000	NUM
abr-132	193	10	)	)	PUNCT
abr-132	193	11	*	*	NOUN
abr-132	193	12	0.213	0.213	NUM
abr-132	193	13	(	(	PUNCT
abr-132	193	14	0.000	0.000	NUM
abr-132	193	15	)	)	PUNCT
abr-132	193	16	*	*	PUNCT
abr-132	193	17	gdp	gdp	NOUN
abr-132	193	18	per	per	ADP
abr-132	193	19	capita	capita	X
abr-132	193	20	(	(	PUNCT
abr-132	193	21	$	$	SYM
abr-132	193	22	1,000	1,000	NUM
abr-132	193	23	)	)	PUNCT
abr-132	193	24	-0.254	-0.254	PUNCT
abr-132	193	25	(	(	PUNCT
abr-132	193	26	0.087	0.087	NUM
abr-132	193	27	)	)	PUNCT
abr-132	193	28	square	square	ADJ
abr-132	193	29	root	root	NOUN
abr-132	193	30	of	of	ADP
abr-132	193	31	gdp	gdp	NOUN
abr-132	193	32	per	per	ADP
abr-132	193	33	capita	capita	NOUN
abr-132	193	34	-0.117	-0.117	PUNCT
abr-132	193	35	(	(	PUNCT
abr-132	193	36	0.006	0.006	NUM
abr-132	193	37	)	)	PUNCT
abr-132	193	38	*	*	PUNCT
abr-132	193	39	median	median	ADJ
abr-132	193	40	hh	hh	PROPN
abr-132	193	41	income	income	NOUN
abr-132	193	42	(	(	PUNCT
abr-132	193	43	$	$	SYM
abr-132	193	44	1,000	1,000	NUM
abr-132	193	45	)	)	PUNCT
abr-132	193	46	-0.351	-0.351	NOUN
abr-132	193	47	(	(	PUNCT
abr-132	193	48	0.027	0.027	NUM
abr-132	193	49	)	)	PUNCT
abr-132	193	50	*	*	PUNCT
abr-132	193	51	square	square	ADJ
abr-132	193	52	root	root	NOUN
abr-132	193	53	of	of	ADP
abr-132	193	54	median	median	ADJ
abr-132	193	55	hh	hh	PROPN
abr-132	193	56	income	income	NOUN
abr-132	193	57	-0.136	-0.136	PUNCT
abr-132	193	58	(	(	PUNCT
abr-132	193	59	0.002	0.002	NUM
abr-132	193	60	)	)	PUNCT
abr-132	193	61	*	*	PUNCT
abr-132	193	62	sample	sample	NOUN
abr-132	193	63	size	size	NOUN
abr-132	193	64	61	61	NUM
abr-132	193	65	61	61	NUM
abr-132	193	66	61	61	NUM
abr-132	193	67	61	61	NUM
abr-132	193	68	adj	adj	NOUN
abr-132	193	69	.	.	PUNCT
abr-132	193	70	r2	r2	PROPN
abr-132	193	71	0.836	0.836	NUM
abr-132	193	72	0.849	0.849	NUM
abr-132	193	73	0.842	0.842	NUM
abr-132	193	74	0.856	0.856	NUM
abr-132	193	75	f	f	NOUN
abr-132	193	76	statistic	statistic	NOUN
abr-132	193	77	77.334	77.334	NUM
abr-132	193	78	85.241	85.241	NUM
abr-132	193	79	80.675	80.675	NUM
abr-132	193	80	89.891	89.891	NUM
abr-132	193	81	income	income	NOUN
abr-132	193	82	and	and	CCONJ
abr-132	193	83	national	national	ADJ
abr-132	193	84	software	software	NOUN
abr-132	193	85	piracy	piracy	NOUN
abr-132	193	86	60	60	NUM
abr-132	193	87	while	while	SCONJ
abr-132	193	88	there	there	PRON
abr-132	193	89	is	be	VERB
abr-132	193	90	strong	strong	ADJ
abr-132	193	91	collinearity	collinearity	NOUN
abr-132	193	92	between	between	ADP
abr-132	193	93	each	each	PRON
abr-132	193	94	of	of	ADP
abr-132	193	95	the	the	DET
abr-132	193	96	non	non	ADJ
abr-132	193	97	-	-	ADJ
abr-132	193	98	income	income	ADJ
abr-132	193	99	explanatory	explanatory	ADJ
abr-132	193	100	variables	variable	NOUN
abr-132	193	101	and	and	CCONJ
abr-132	193	102	the	the	DET
abr-132	193	103	four	four	NUM
abr-132	193	104	income	income	NOUN
abr-132	193	105	measures	measure	NOUN
abr-132	193	106	,	,	PUNCT
abr-132	193	107	collinearity	collinearity	NOUN
abr-132	193	108	is	be	AUX
abr-132	193	109	strongest	strong	ADJ
abr-132	193	110	between	between	ADP
abr-132	193	111	corruption	corruption	NOUN
abr-132	193	112	and	and	CCONJ
abr-132	193	113	the	the	DET
abr-132	193	114	income	income	NOUN
abr-132	193	115	measures	measure	NOUN
abr-132	193	116	.	.	PUNCT
abr-132	194	1	the	the	DET
abr-132	194	2	correlation	correlation	NOUN
abr-132	194	3	coefficients	coefficient	NOUN
abr-132	194	4	shown	show	VERB
abr-132	194	5	in	in	ADP
abr-132	194	6	table	table	NOUN
abr-132	194	7	5	5	NUM
abr-132	194	8	explain	explain	VERB
abr-132	194	9	why	why	SCONJ
abr-132	194	10	corruption	corruption	NOUN
abr-132	194	11	is	be	AUX
abr-132	194	12	not	not	PART
abr-132	194	13	a	a	DET
abr-132	194	14	significant	significant	ADJ
abr-132	194	15	predictor	predictor	NOUN
abr-132	194	16	of	of	ADP
abr-132	194	17	software	software	NOUN
abr-132	194	18	piracy	piracy	NOUN
abr-132	194	19	in	in	ADP
abr-132	194	20	the	the	DET
abr-132	194	21	presence	presence	NOUN
abr-132	194	22	of	of	ADP
abr-132	194	23	an	an	DET
abr-132	194	24	income	income	NOUN
abr-132	194	25	variable	variable	NOUN
abr-132	194	26	.	.	PUNCT
abr-132	195	1	table	table	NOUN
abr-132	195	2	5	5	NUM
abr-132	195	3	also	also	ADV
abr-132	195	4	explains	explain	VERB
abr-132	195	5	why	why	SCONJ
abr-132	195	6	the	the	DET
abr-132	195	7	r2	r2	PROPN
abr-132	195	8	values	value	NOUN
abr-132	195	9	only	only	ADV
abr-132	195	10	increase	increase	VERB
abr-132	195	11	modestly	modestly	ADV
abr-132	195	12	when	when	SCONJ
abr-132	195	13	the	the	DET
abr-132	195	14	non	non	ADJ
abr-132	195	15	-	-	ADJ
abr-132	195	16	income	income	ADJ
abr-132	195	17	variables	variable	NOUN
abr-132	195	18	are	be	AUX
abr-132	195	19	included	include	VERB
abr-132	195	20	compared	compare	VERB
abr-132	195	21	to	to	ADP
abr-132	195	22	the	the	DET
abr-132	195	23	simple	simple	ADJ
abr-132	195	24	incomepiracy	incomepiracy	NOUN
abr-132	195	25	regression	regression	NOUN
abr-132	195	26	.	.	PUNCT
abr-132	196	1	one	one	NUM
abr-132	196	2	of	of	ADP
abr-132	196	3	the	the	DET
abr-132	196	4	key	key	ADJ
abr-132	196	5	takeaways	takeaway	NOUN
abr-132	196	6	from	from	ADP
abr-132	196	7	the	the	DET
abr-132	196	8	analysis	analysis	NOUN
abr-132	196	9	is	be	AUX
abr-132	196	10	that	that	SCONJ
abr-132	196	11	the	the	DET
abr-132	196	12	high	high	ADJ
abr-132	196	13	degree	degree	NOUN
abr-132	196	14	of	of	ADP
abr-132	196	15	statistical	statistical	ADJ
abr-132	196	16	collinearity	collinearity	NOUN
abr-132	196	17	between	between	ADP
abr-132	196	18	the	the	DET
abr-132	196	19	theoretical	theoretical	ADJ
abr-132	196	20	determinants	determinant	NOUN
abr-132	196	21	of	of	ADP
abr-132	196	22	software	software	NOUN
abr-132	196	23	piracy	piracy	NOUN
abr-132	196	24	make	make	VERB
abr-132	196	25	it	it	PRON
abr-132	196	26	difficult	difficult	ADJ
abr-132	196	27	to	to	PART
abr-132	196	28	assess	assess	VERB
abr-132	196	29	the	the	DET
abr-132	196	30	individual	individual	ADJ
abr-132	196	31	magnitude	magnitude	NOUN
abr-132	196	32	of	of	ADP
abr-132	196	33	each	each	DET
abr-132	196	34	determinant	determinant	ADJ
abr-132	196	35	.	.	PUNCT
abr-132	197	1	for	for	ADP
abr-132	197	2	example	example	NOUN
abr-132	197	3	,	,	PUNCT
abr-132	197	4	by	by	ADP
abr-132	197	5	itself	itself	PRON
abr-132	197	6	,	,	PUNCT
abr-132	197	7	higher	high	ADJ
abr-132	197	8	income	income	NOUN
abr-132	197	9	leads	lead	VERB
abr-132	197	10	to	to	ADP
abr-132	197	11	lower	low	ADJ
abr-132	197	12	piracy	piracy	NOUN
abr-132	197	13	.	.	PUNCT
abr-132	198	1	but	but	CCONJ
abr-132	198	2	the	the	DET
abr-132	198	3	statistically	statistically	ADV
abr-132	198	4	strong	strong	ADJ
abr-132	198	5	relationship	relationship	NOUN
abr-132	198	6	between	between	ADP
abr-132	198	7	income	income	NOUN
abr-132	198	8	and	and	CCONJ
abr-132	198	9	piracy	piracy	NOUN
abr-132	198	10	is	be	AUX
abr-132	198	11	,	,	PUNCT
abr-132	198	12	in	in	ADP
abr-132	198	13	part	part	NOUN
abr-132	198	14	,	,	PUNCT
abr-132	198	15	masking	mask	VERB
abr-132	198	16	the	the	DET
abr-132	198	17	ability	ability	NOUN
abr-132	198	18	of	of	ADP
abr-132	198	19	corruption	corruption	NOUN
abr-132	198	20	(	(	PUNCT
abr-132	198	21	and	and	CCONJ
abr-132	198	22	other	other	ADJ
abr-132	198	23	variables	variable	NOUN
abr-132	198	24	)	)	PUNCT
abr-132	198	25	to	to	PART
abr-132	198	26	explain	explain	VERB
abr-132	198	27	piracy	piracy	NOUN
abr-132	198	28	differentials	differential	NOUN
abr-132	198	29	across	across	ADP
abr-132	198	30	countries	country	NOUN
abr-132	198	31	.	.	PUNCT
abr-132	199	1	table	table	NOUN
abr-132	199	2	5	5	NUM
abr-132	199	3	.	.	PUNCT
abr-132	200	1	correlation	correlation	NOUN
abr-132	200	2	coefficients	coefficient	NOUN
abr-132	200	3	between	between	ADP
abr-132	200	4	income	income	NOUN
abr-132	200	5	and	and	CCONJ
abr-132	200	6	other	other	ADJ
abr-132	200	7	explanatory	explanatory	ADJ
abr-132	200	8	variables	variable	NOUN
abr-132	200	9	corruption	corruption	NOUN
abr-132	200	10	ipp	ipp	PROPN
abr-132	200	11	collectivism	collectivism	NOUN
abr-132	200	12	gdp	gdp	NOUN
abr-132	200	13	per	per	ADP
abr-132	200	14	capita	capita	NOUN
abr-132	200	15	0.856	0.856	NUM
abr-132	200	16	0.844	0.844	NUM
abr-132	200	17	-0.627	-0.627	PROPN
abr-132	200	18	square	square	ADJ
abr-132	200	19	root	root	NOUN
abr-132	200	20	of	of	ADP
abr-132	200	21	gdp	gdp	NOUN
abr-132	200	22	per	per	ADP
abr-132	200	23	capita	capita	NOUN
abr-132	200	24	0.850	0.850	NUM
abr-132	200	25	0.830	0.830	NUM
abr-132	201	1	-0.647	-0.647	NOUN
abr-132	201	2	median	median	NOUN
abr-132	201	3	hh	hh	ADJ
abr-132	201	4	income	income	NOUN
abr-132	201	5	0.866	0.866	NUM
abr-132	201	6	0.839	0.839	NUM
abr-132	201	7	-0.659	-0.659	NOUN
abr-132	201	8	square	square	ADJ
abr-132	201	9	root	root	NOUN
abr-132	201	10	of	of	ADP
abr-132	201	11	median	median	ADJ
abr-132	201	12	hh	hh	PROPN
abr-132	201	13	income	income	NOUN
abr-132	201	14	0.866	0.866	NUM
abr-132	201	15	0.835	0.835	NUM
abr-132	201	16	-0.674	-0.674	NOUN
abr-132	201	17	n	n	NOUN
abr-132	201	18	=	=	SYM
abr-132	201	19	61	61	NUM
abr-132	201	20	(	(	PUNCT
abr-132	201	21	full	full	ADJ
abr-132	201	22	coverage	coverage	NOUN
abr-132	201	23	countries	country	NOUN
abr-132	201	24	only	only	ADV
abr-132	201	25	)	)	PUNCT
abr-132	201	26	note	note	VERB
abr-132	201	27	:	:	PUNCT
abr-132	201	28	all	all	DET
abr-132	201	29	correlation	correlation	NOUN
abr-132	201	30	coefficients	coefficient	NOUN
abr-132	201	31	are	be	AUX
abr-132	201	32	statistically	statistically	ADV
abr-132	201	33	significant	significant	ADJ
abr-132	201	34	at	at	ADP
abr-132	201	35	95	95	NUM
abr-132	201	36	%	%	NOUN
abr-132	201	37	confidence	confidence	NOUN
abr-132	201	38	level	level	NOUN
abr-132	201	39	.	.	PUNCT
abr-132	202	1	sensitivity	sensitivity	NOUN
abr-132	202	2	analysis	analysis	NOUN
abr-132	202	3	our	our	PRON
abr-132	202	4	findings	finding	NOUN
abr-132	202	5	are	be	AUX
abr-132	202	6	robust	robust	ADJ
abr-132	202	7	under	under	ADP
abr-132	202	8	various	various	ADJ
abr-132	202	9	alternative	alternative	ADJ
abr-132	202	10	specifications	specification	NOUN
abr-132	202	11	.	.	PUNCT
abr-132	203	1	specifically	specifically	ADV
abr-132	203	2	,	,	PUNCT
abr-132	203	3	we	we	PRON
abr-132	203	4	ran	run	VERB
abr-132	203	5	regressions	regression	NOUN
abr-132	203	6	for	for	ADP
abr-132	203	7	years	year	NOUN
abr-132	203	8	other	other	ADJ
abr-132	203	9	than	than	ADP
abr-132	203	10	2009	2009	NUM
abr-132	203	11	to	to	PART
abr-132	203	12	verify	verify	VERB
abr-132	203	13	that	that	SCONJ
abr-132	203	14	the	the	DET
abr-132	203	15	research	research	NOUN
abr-132	203	16	conclusions	conclusion	NOUN
abr-132	203	17	do	do	AUX
abr-132	203	18	not	not	PART
abr-132	203	19	change	change	VERB
abr-132	203	20	based	base	VERB
abr-132	203	21	on	on	ADP
abr-132	203	22	the	the	DET
abr-132	203	23	year	year	NOUN
abr-132	203	24	chosen	choose	VERB
abr-132	203	25	.	.	PUNCT
abr-132	204	1	in	in	ADP
abr-132	204	2	addition	addition	NOUN
abr-132	204	3	,	,	PUNCT
abr-132	204	4	we	we	PRON
abr-132	204	5	performed	perform	VERB
abr-132	204	6	listwise	listwise	ADJ
abr-132	204	7	regressions	regression	NOUN
abr-132	204	8	for	for	ADP
abr-132	204	9	year	year	NOUN
abr-132	204	10	2009	2009	NUM
abr-132	204	11	and	and	CCONJ
abr-132	204	12	concluded	conclude	VERB
abr-132	204	13	that	that	SCONJ
abr-132	204	14	are	be	AUX
abr-132	204	15	results	result	NOUN
abr-132	204	16	do	do	AUX
abr-132	204	17	not	not	PART
abr-132	204	18	change	change	VERB
abr-132	204	19	.	.	PUNCT
abr-132	205	1	the	the	DET
abr-132	205	2	listwise	listwise	ADJ
abr-132	205	3	regression	regression	NOUN
abr-132	205	4	included	include	VERB
abr-132	205	5	all	all	DET
abr-132	205	6	91	91	NUM
abr-132	205	7	countries	country	NOUN
abr-132	205	8	instead	instead	ADV
abr-132	205	9	of	of	ADP
abr-132	205	10	just	just	ADV
abr-132	205	11	the	the	DET
abr-132	205	12	61	61	NUM
abr-132	205	13	countries	country	NOUN
abr-132	205	14	that	that	PRON
abr-132	205	15	have	have	VERB
abr-132	205	16	full	full	ADJ
abr-132	205	17	coverage	coverage	NOUN
abr-132	205	18	of	of	ADP
abr-132	205	19	all	all	PRON
abr-132	205	20	of	of	ADP
abr-132	205	21	the	the	DET
abr-132	205	22	explanatory	explanatory	ADJ
abr-132	205	23	variables	variable	NOUN
abr-132	205	24	.	.	PUNCT
abr-132	206	1	under	under	ADP
abr-132	206	2	listwise	listwise	NOUN
abr-132	206	3	,	,	PUNCT
abr-132	206	4	for	for	ADP
abr-132	206	5	those	those	DET
abr-132	206	6	countries	country	NOUN
abr-132	206	7	that	that	PRON
abr-132	206	8	are	be	AUX
abr-132	206	9	missing	miss	VERB
abr-132	206	10	one	one	NUM
abr-132	206	11	of	of	ADP
abr-132	206	12	the	the	DET
abr-132	206	13	explanatory	explanatory	ADJ
abr-132	206	14	variables	variable	NOUN
abr-132	206	15	,	,	PUNCT
abr-132	206	16	the	the	DET
abr-132	206	17	regression	regression	NOUN
abr-132	206	18	ignores	ignore	VERB
abr-132	206	19	that	that	SCONJ
abr-132	206	20	variable	variable	NOUN
abr-132	206	21	but	but	CCONJ
abr-132	206	22	includes	include	VERB
abr-132	206	23	the	the	DET
abr-132	206	24	information	information	NOUN
abr-132	206	25	from	from	ADP
abr-132	206	26	the	the	DET
abr-132	206	27	variables	variable	NOUN
abr-132	206	28	for	for	ADP
abr-132	206	29	which	which	PRON
abr-132	206	30	data	datum	NOUN
abr-132	206	31	is	be	AUX
abr-132	206	32	present	present	ADJ
abr-132	206	33	.	.	PUNCT
abr-132	207	1	we	we	PRON
abr-132	207	2	do	do	AUX
abr-132	207	3	not	not	PART
abr-132	207	4	replace	replace	VERB
abr-132	207	5	the	the	DET
abr-132	207	6	missing	miss	VERB
abr-132	207	7	data	datum	NOUN
abr-132	207	8	with	with	ADP
abr-132	207	9	the	the	DET
abr-132	207	10	variable	variable	NOUN
abr-132	207	11	’s	’s	PART
abr-132	207	12	mean	mean	ADJ
abr-132	207	13	value	value	NOUN
abr-132	207	14	.	.	PUNCT
abr-132	208	1	we	we	PRON
abr-132	208	2	simply	simply	ADV
abr-132	208	3	treated	treat	VERB
abr-132	208	4	missing	miss	VERB
abr-132	208	5	data	datum	NOUN
abr-132	208	6	as	as	ADP
abr-132	208	7	missing	miss	VERB
abr-132	208	8	.	.	PUNCT
abr-132	209	1	results	result	NOUN
abr-132	209	2	under	under	ADP
abr-132	209	3	these	these	DET
abr-132	209	4	alternative	alternative	ADJ
abr-132	209	5	specifications	specification	NOUN
abr-132	209	6	are	be	AUX
abr-132	209	7	available	available	ADJ
abr-132	209	8	to	to	ADP
abr-132	209	9	readers	reader	NOUN
abr-132	209	10	upon	upon	SCONJ
abr-132	209	11	request	request	NOUN
abr-132	209	12	from	from	ADP
abr-132	209	13	the	the	DET
abr-132	209	14	authors	author	NOUN
abr-132	209	15	.	.	PUNCT
abr-132	210	1	conclusion	conclusion	VERB
abr-132	210	2	the	the	DET
abr-132	210	3	role	role	NOUN
abr-132	210	4	of	of	ADP
abr-132	210	5	income	income	NOUN
abr-132	210	6	in	in	ADP
abr-132	210	7	predicting	predict	VERB
abr-132	210	8	national	national	ADJ
abr-132	210	9	phenomena	phenomenon	NOUN
abr-132	210	10	such	such	ADJ
abr-132	210	11	as	as	ADP
abr-132	210	12	software	software	NOUN
abr-132	210	13	piracy	piracy	NOUN
abr-132	210	14	has	have	AUX
abr-132	210	15	been	be	AUX
abr-132	210	16	frequently	frequently	ADV
abr-132	210	17	studied	study	VERB
abr-132	210	18	.	.	PUNCT
abr-132	211	1	average	average	ADJ
abr-132	211	2	per	per	ADP
abr-132	211	3	capita	capita	X
abr-132	211	4	gdp	gdp	NOUN
abr-132	211	5	is	be	AUX
abr-132	211	6	an	an	DET
abr-132	211	7	understandably	understandably	ADV
abr-132	211	8	common	common	ADJ
abr-132	211	9	measure	measure	NOUN
abr-132	211	10	of	of	ADP
abr-132	211	11	individual	individual	ADJ
abr-132	211	12	income	income	NOUN
abr-132	211	13	.	.	PUNCT
abr-132	212	1	however	however	ADV
abr-132	212	2	,	,	PUNCT
abr-132	212	3	failure	failure	NOUN
abr-132	212	4	to	to	PART
abr-132	212	5	recognize	recognize	VERB
abr-132	212	6	the	the	DET
abr-132	212	7	diminishing	diminish	VERB
abr-132	212	8	marginal	marginal	ADJ
abr-132	212	9	utility	utility	NOUN
abr-132	212	10	of	of	ADP
abr-132	212	11	income	income	NOUN
abr-132	212	12	can	can	AUX
abr-132	212	13	be	be	AUX
abr-132	212	14	an	an	DET
abr-132	212	15	egregious	egregious	ADJ
abr-132	212	16	error	error	NOUN
abr-132	212	17	when	when	SCONJ
abr-132	212	18	comparing	compare	VERB
abr-132	212	19	countries	country	NOUN
abr-132	212	20	with	with	ADP
abr-132	212	21	dramatically	dramatically	ADV
abr-132	212	22	different	different	ADJ
abr-132	212	23	income	income	NOUN
abr-132	212	24	levels	level	NOUN
abr-132	212	25	.	.	PUNCT
abr-132	213	1	this	this	PRON
abr-132	213	2	creates	create	VERB
abr-132	213	3	the	the	DET
abr-132	213	4	potential	potential	NOUN
abr-132	213	5	for	for	ADP
abr-132	213	6	the	the	DET
abr-132	213	7	misinterpretation	misinterpretation	NOUN
abr-132	213	8	of	of	ADP
abr-132	213	9	the	the	DET
abr-132	213	10	role	role	NOUN
abr-132	213	11	of	of	ADP
abr-132	213	12	income	income	NOUN
abr-132	213	13	.	.	PUNCT
abr-132	214	1	furthermore	furthermore	ADV
abr-132	214	2	,	,	PUNCT
abr-132	214	3	because	because	SCONJ
abr-132	214	4	income	income	NOUN
abr-132	214	5	is	be	AUX
abr-132	214	6	highly	highly	ADV
abr-132	214	7	skewed	skewed	ADJ
abr-132	214	8	within	within	ADP
abr-132	214	9	countries	country	NOUN
abr-132	214	10	,	,	PUNCT
abr-132	214	11	using	use	VERB
abr-132	214	12	median	median	NOUN
abr-132	214	13	in	in	ADP
abr-132	214	14	place	place	NOUN
abr-132	214	15	of	of	ADP
abr-132	214	16	the	the	DET
abr-132	214	17	average	average	NOUN
abr-132	214	18	has	have	VERB
abr-132	214	19	significant	significant	ADJ
abr-132	214	20	advantages	advantage	NOUN
abr-132	214	21	.	.	PUNCT
abr-132	215	1	the	the	DET
abr-132	215	2	kyper	kyper	NOUN
abr-132	215	3	61	61	NUM
abr-132	215	4	findings	finding	NOUN
abr-132	215	5	show	show	VERB
abr-132	215	6	applying	apply	VERB
abr-132	215	7	the	the	DET
abr-132	215	8	square	square	ADJ
abr-132	215	9	root	root	NOUN
abr-132	215	10	of	of	ADP
abr-132	215	11	median	median	ADJ
abr-132	215	12	income	income	NOUN
abr-132	215	13	captures	capture	VERB
abr-132	215	14	the	the	DET
abr-132	215	15	diminishing	diminish	VERB
abr-132	215	16	role	role	NOUN
abr-132	215	17	of	of	ADP
abr-132	215	18	income	income	NOUN
abr-132	215	19	and	and	CCONJ
abr-132	215	20	provides	provide	VERB
abr-132	215	21	the	the	DET
abr-132	215	22	best	good	ADJ
abr-132	215	23	income	income	NOUN
abr-132	215	24	measure	measure	NOUN
abr-132	215	25	to	to	PART
abr-132	215	26	use	use	VERB
abr-132	215	27	in	in	ADP
abr-132	215	28	software	software	NOUN
abr-132	215	29	piracy	piracy	NOUN
abr-132	215	30	studies	study	NOUN
abr-132	215	31	.	.	PUNCT
abr-132	216	1	whatever	whatever	DET
abr-132	216	2	income	income	NOUN
abr-132	216	3	measure	measure	NOUN
abr-132	216	4	is	be	AUX
abr-132	216	5	chosen	choose	VERB
abr-132	216	6	,	,	PUNCT
abr-132	216	7	the	the	DET
abr-132	216	8	study	study	NOUN
abr-132	216	9	shows	show	VERB
abr-132	216	10	that	that	SCONJ
abr-132	216	11	collinearity	collinearity	NOUN
abr-132	216	12	between	between	ADP
abr-132	216	13	income	income	NOUN
abr-132	216	14	and	and	CCONJ
abr-132	216	15	other	other	ADJ
abr-132	216	16	variables	variable	NOUN
abr-132	216	17	is	be	AUX
abr-132	216	18	a	a	DET
abr-132	216	19	major	major	ADJ
abr-132	216	20	issue	issue	NOUN
abr-132	216	21	in	in	ADP
abr-132	216	22	trying	try	VERB
abr-132	216	23	to	to	PART
abr-132	216	24	assess	assess	VERB
abr-132	216	25	the	the	DET
abr-132	216	26	predictive	predictive	ADJ
abr-132	216	27	power	power	NOUN
abr-132	216	28	of	of	ADP
abr-132	216	29	non	non	ADJ
abr-132	216	30	-	-	ADJ
abr-132	216	31	income	income	ADJ
abr-132	216	32	variables	variable	NOUN
abr-132	216	33	on	on	ADP
abr-132	216	34	software	software	NOUN
abr-132	216	35	piracy	piracy	NOUN
abr-132	216	36	rates	rate	NOUN
abr-132	216	37	.	.	PUNCT
abr-132	217	1	the	the	DET
abr-132	217	2	problem	problem	NOUN
abr-132	217	3	stems	stem	VERB
abr-132	217	4	from	from	ADP
abr-132	217	5	two	two	NUM
abr-132	217	6	competing	compete	VERB
abr-132	217	7	realities	reality	NOUN
abr-132	217	8	:	:	PUNCT
abr-132	217	9	(	(	PUNCT
abr-132	217	10	1	1	X
abr-132	217	11	)	)	PUNCT
abr-132	217	12	income	income	NOUN
abr-132	217	13	should	should	AUX
abr-132	217	14	theoretically	theoretically	ADV
abr-132	217	15	be	be	AUX
abr-132	217	16	part	part	NOUN
abr-132	217	17	of	of	ADP
abr-132	217	18	any	any	DET
abr-132	217	19	software	software	NOUN
abr-132	217	20	piracy	piracy	NOUN
abr-132	217	21	model	model	NOUN
abr-132	217	22	,	,	PUNCT
abr-132	217	23	and	and	CCONJ
abr-132	217	24	(	(	PUNCT
abr-132	217	25	2	2	X
abr-132	217	26	)	)	PUNCT
abr-132	217	27	income	income	NOUN
abr-132	217	28	is	be	AUX
abr-132	217	29	highly	highly	ADV
abr-132	217	30	correlated	correlate	VERB
abr-132	217	31	with	with	ADP
abr-132	217	32	other	other	ADJ
abr-132	217	33	variables	variable	NOUN
abr-132	217	34	–	–	PUNCT
abr-132	217	35	such	such	ADJ
abr-132	217	36	as	as	ADP
abr-132	217	37	intellectual	intellectual	ADJ
abr-132	217	38	property	property	NOUN
abr-132	217	39	protection	protection	NOUN
abr-132	217	40	,	,	PUNCT
abr-132	217	41	corruption	corruption	NOUN
abr-132	217	42	,	,	PUNCT
abr-132	217	43	and	and	CCONJ
abr-132	217	44	collectivism	collectivism	NOUN
abr-132	217	45	–	–	PUNCT
abr-132	217	46	that	that	PRON
abr-132	217	47	should	should	AUX
abr-132	217	48	theoretically	theoretically	ADV
abr-132	217	49	be	be	AUX
abr-132	217	50	part	part	NOUN
abr-132	217	51	of	of	ADP
abr-132	217	52	any	any	DET
abr-132	217	53	software	software	NOUN
abr-132	217	54	piracy	piracy	NOUN
abr-132	217	55	model	model	NOUN
abr-132	217	56	.	.	PUNCT
abr-132	218	1	ideally	ideally	ADV
abr-132	218	2	these	these	DET
abr-132	218	3	findings	finding	NOUN
abr-132	218	4	will	will	AUX
abr-132	218	5	inform	inform	VERB
abr-132	218	6	future	future	ADJ
abr-132	218	7	studies	study	NOUN
abr-132	218	8	using	use	VERB
abr-132	218	9	income	income	NOUN
abr-132	218	10	to	to	PART
abr-132	218	11	predict	predict	VERB
abr-132	218	12	national	national	ADJ
abr-132	218	13	phenomena	phenomenon	NOUN
abr-132	218	14	.	.	PUNCT
abr-132	219	1	references	reference	NOUN
abr-132	219	2	bagchi	bagchi	VERB
abr-132	219	3	,	,	PUNCT
abr-132	219	4	k.	k.	PROPN
abr-132	219	5	,	,	PUNCT
abr-132	219	6	kirs	kir	NOUN
abr-132	219	7	,	,	PUNCT
abr-132	219	8	p.	p.	NOUN
abr-132	219	9	,	,	PUNCT
abr-132	219	10	&	&	CCONJ
abr-132	219	11	cerveny	cerveny	PROPN
abr-132	219	12	,	,	PUNCT
abr-132	219	13	r.	r.	PROPN
abr-132	219	14	(	(	PUNCT
abr-132	219	15	2006	2006	NUM
abr-132	219	16	)	)	PUNCT
abr-132	219	17	.	.	PUNCT
abr-132	220	1	global	global	ADJ
abr-132	220	2	software	software	NOUN
abr-132	220	3	piracy	piracy	NOUN
abr-132	220	4	:	:	PUNCT
abr-132	220	5	can	can	AUX
abr-132	220	6	economic	economic	ADJ
abr-132	220	7	factors	factor	NOUN
abr-132	220	8	alone	alone	ADV
abr-132	220	9	explain	explain	VERB
abr-132	220	10	the	the	DET
abr-132	220	11	trend	trend	NOUN
abr-132	220	12	?	?	PUNCT
abr-132	221	1	communications	communication	NOUN
abr-132	221	2	of	of	ADP
abr-132	221	3	the	the	DET
abr-132	221	4	acm	acm	PROPN
abr-132	221	5	,	,	PUNCT
abr-132	221	6	49(6	49(6	NOUN
abr-132	221	7	)	)	PUNCT
abr-132	221	8	,	,	PUNCT
abr-132	221	9	70	70	NUM
abr-132	221	10	-	-	SYM
abr-132	221	11	76	76	NUM
abr-132	221	12	.	.	PUNCT
abr-132	222	1	bsa	bsa	PROPN
abr-132	222	2	.	.	PUNCT
abr-132	222	3	(	(	PUNCT
abr-132	222	4	2003	2003	NUM
abr-132	222	5	)	)	PUNCT
abr-132	222	6	.	.	PUNCT
abr-132	223	1	expanding	expand	VERB
abr-132	223	2	global	global	ADJ
abr-132	223	3	economies	economy	NOUN
abr-132	223	4	:	:	PUNCT
abr-132	223	5	the	the	DET
abr-132	223	6	benefits	benefit	NOUN
abr-132	223	7	of	of	ADP
abr-132	223	8	reducing	reduce	VERB
abr-132	223	9	software	software	NOUN
abr-132	223	10	privacy	privacy	NOUN
abr-132	223	11	.	.	PUNCT
abr-132	224	1	business	business	NOUN
abr-132	224	2	software	software	PROPN
abr-132	224	3	alliance	alliance	PROPN
abr-132	224	4	.	.	PUNCT
abr-132	225	1	retrieved	retrieve	VERB
abr-132	225	2	,	,	PUNCT
abr-132	225	3	from	from	ADP
abr-132	225	4	the	the	DET
abr-132	225	5	world	world	NOUN
abr-132	225	6	wide	wide	ADJ
abr-132	225	7	web	web	NOUN
abr-132	225	8	:	:	PUNCT
abr-132	225	9	http://global.bsa.org/idcstudy/pdfs/white_paper.pdf	http://global.bsa.org/idcstudy/pdfs/white_paper.pdf	PROPN
abr-132	225	10	bsa	bsa	PROPN
abr-132	225	11	.	.	PUNCT
abr-132	226	1	(	(	PUNCT
abr-132	226	2	2014	2014	NUM
abr-132	226	3	)	)	PUNCT
abr-132	226	4	.	.	PUNCT
abr-132	227	1	the	the	DET
abr-132	227	2	compliance	compliance	NOUN
abr-132	227	3	gap	gap	NOUN
abr-132	227	4	:	:	PUNCT
abr-132	227	5	bsa	bsa	PROPN
abr-132	227	6	global	global	PROPN
abr-132	227	7	software	software	PROPN
abr-132	227	8	survey	survey	NOUN
abr-132	227	9	,	,	PUNCT
abr-132	227	10	2013	2013	NUM
abr-132	227	11	.	.	PUNCT
abr-132	228	1	business	business	NOUN
abr-132	228	2	software	software	PROPN
abr-132	228	3	alliance	alliance	PROPN
abr-132	228	4	.	.	PUNCT
abr-132	229	1	retrieved	retrieve	VERB
abr-132	229	2	,	,	PUNCT
abr-132	229	3	from	from	ADP
abr-132	229	4	the	the	DET
abr-132	229	5	world	world	NOUN
abr-132	229	6	wide	wide	ADJ
abr-132	229	7	web	web	NOUN
abr-132	229	8	:	:	PUNCT
abr-132	229	9	http://globalstudy.bsa.org/2013/downloads/studies/2013globalsurvey_study_en.pdf	http://globalstudy.bsa.org/2013/downloads/studies/2013globalsurvey_study_en.pdf	NOUN
abr-132	229	10	chavarria	chavarria	PROPN
abr-132	229	11	,	,	PUNCT
abr-132	229	12	j.	j.	PROPN
abr-132	229	13	,	,	PUNCT
abr-132	229	14	&	&	CCONJ
abr-132	229	15	morrison	morrison	PROPN
abr-132	229	16	,	,	PUNCT
abr-132	229	17	r.	r.	PROPN
abr-132	229	18	(	(	PUNCT
abr-132	229	19	2014	2014	NUM
abr-132	229	20	)	)	PUNCT
abr-132	229	21	.	.	PUNCT
abr-132	230	1	revisiting	revisit	VERB
abr-132	230	2	software	software	NOUN
abr-132	230	3	piracy	piracy	NOUN
abr-132	230	4	using	use	VERB
abr-132	230	5	globe	globe	NOUN
abr-132	230	6	cultural	cultural	ADJ
abr-132	230	7	practices	practice	NOUN
abr-132	230	8	.	.	PUNCT
abr-132	231	1	academy	academy	NOUN
abr-132	231	2	of	of	ADP
abr-132	231	3	information	information	NOUN
abr-132	231	4	and	and	CCONJ
abr-132	231	5	management	management	NOUN
abr-132	231	6	sciences	sciences	PROPN
abr-132	231	7	journal	journal	NOUN
abr-132	231	8	,	,	PUNCT
abr-132	231	9	17(1	17(1	NUM
abr-132	231	10	)	)	PUNCT
abr-132	231	11	,	,	PUNCT
abr-132	231	12	101	101	NUM
abr-132	231	13	-	-	SYM
abr-132	231	14	121	121	NUM
abr-132	231	15	.	.	PUNCT
abr-132	232	1	chen	chen	PROPN
abr-132	232	2	,	,	PUNCT
abr-132	232	3	c.	c.	PROPN
abr-132	232	4	,	,	PUNCT
abr-132	232	5	chen	chen	PROPN
abr-132	232	6	,	,	PUNCT
abr-132	232	7	c.	c.	PROPN
abr-132	232	8	,	,	PUNCT
abr-132	232	9	&	&	CCONJ
abr-132	232	10	yeh	yeh	PROPN
abr-132	232	11	,	,	PUNCT
abr-132	232	12	c.	c.	PROPN
abr-132	232	13	(	(	PUNCT
abr-132	232	14	2010	2010	NUM
abr-132	232	15	)	)	PUNCT
abr-132	232	16	.	.	PUNCT
abr-132	233	1	determinants	determinant	NOUN
abr-132	233	2	of	of	ADP
abr-132	233	3	software	software	NOUN
abr-132	233	4	piracy	piracy	NOUN
abr-132	233	5	:	:	PUNCT
abr-132	233	6	evidence	evidence	NOUN
abr-132	233	7	from	from	ADP
abr-132	233	8	far	far	ADJ
abr-132	233	9	east	east	NOUN
abr-132	233	10	countries	country	NOUN
abr-132	233	11	.	.	PUNCT
abr-132	234	1	journal	journal	PROPN
abr-132	234	2	of	of	ADP
abr-132	234	3	international	international	ADJ
abr-132	234	4	and	and	CCONJ
abr-132	234	5	global	global	ADJ
abr-132	234	6	economic	economic	ADJ
abr-132	234	7	studies	study	NOUN
abr-132	234	8	,	,	PUNCT
abr-132	234	9	3(2	3(2	NUM
abr-132	234	10	)	)	PUNCT
abr-132	234	11	,	,	PUNCT
abr-132	234	12	53	53	NUM
abr-132	234	13	-	-	SYM
abr-132	234	14	62	62	NUM
abr-132	234	15	.	.	PUNCT
abr-132	235	1	cheng	cheng	PROPN
abr-132	235	2	,	,	PUNCT
abr-132	235	3	h.	h.	PROPN
abr-132	235	4	,	,	PUNCT
abr-132	235	5	sims	sim	NOUN
abr-132	235	6	,	,	PUNCT
abr-132	235	7	r.	r.	PROPN
abr-132	235	8	,	,	PUNCT
abr-132	235	9	&	&	CCONJ
abr-132	235	10	teegen	teegen	NUM
abr-132	235	11	,	,	PUNCT
abr-132	235	12	h.	h.	PROPN
abr-132	235	13	(	(	PUNCT
abr-132	235	14	1997	1997	NUM
abr-132	235	15	)	)	PUNCT
abr-132	235	16	.	.	PUNCT
abr-132	236	1	to	to	PART
abr-132	236	2	purchase	purchase	VERB
abr-132	236	3	or	or	CCONJ
abr-132	236	4	to	to	PART
abr-132	236	5	pirate	pirate	VERB
abr-132	236	6	software	software	NOUN
abr-132	236	7	:	:	PUNCT
abr-132	236	8	an	an	DET
abr-132	236	9	empirical	empirical	ADJ
abr-132	236	10	study	study	NOUN
abr-132	236	11	.	.	PUNCT
abr-132	237	1	journal	journal	PROPN
abr-132	237	2	of	of	ADP
abr-132	237	3	management	management	NOUN
abr-132	237	4	information	information	NOUN
abr-132	237	5	systems	system	NOUN
abr-132	237	6	,	,	PUNCT
abr-132	237	7	13(4	13(4	NUM
abr-132	237	8	)	)	PUNCT
abr-132	237	9	,	,	PUNCT
abr-132	237	10	49	49	NUM
abr-132	237	11	-	-	SYM
abr-132	237	12	60	60	NUM
abr-132	237	13	.	.	PUNCT
abr-132	238	1	cobb	cobb	PROPN
abr-132	238	2	,	,	PUNCT
abr-132	238	3	c.	c.	PROPN
abr-132	238	4	,	,	PUNCT
abr-132	238	5	&	&	CCONJ
abr-132	238	6	douglas	douglas	PROPN
abr-132	238	7	,	,	PUNCT
abr-132	238	8	p.	p.	NOUN
abr-132	238	9	(	(	PUNCT
abr-132	238	10	1928	1928	NUM
abr-132	238	11	)	)	PUNCT
abr-132	238	12	.	.	PUNCT
abr-132	239	1	a	a	DET
abr-132	239	2	theory	theory	NOUN
abr-132	239	3	of	of	ADP
abr-132	239	4	production	production	NOUN
abr-132	239	5	.	.	PUNCT
abr-132	240	1	american	american	PROPN
abr-132	240	2	economic	economic	PROPN
abr-132	240	3	review	review	PROPN
abr-132	240	4	18	18	NUM
abr-132	240	5	(	(	PUNCT
abr-132	240	6	supplement	supplement	NOUN
abr-132	240	7	)	)	PUNCT
abr-132	240	8	,	,	PUNCT
abr-132	240	9	139	139	NUM
abr-132	240	10	-	-	SYM
abr-132	240	11	165	165	NUM
abr-132	240	12	.	.	PUNCT
abr-132	241	1	dewan	dewan	PROPN
abr-132	241	2	,	,	PUNCT
abr-132	241	3	s.	s.	PROPN
abr-132	241	4	,	,	PUNCT
abr-132	241	5	&	&	CCONJ
abr-132	241	6	kraemer	kraemer	PROPN
abr-132	241	7	,	,	PUNCT
abr-132	241	8	k.	k.	PROPN
abr-132	241	9	(	(	PUNCT
abr-132	241	10	2000	2000	NUM
abr-132	241	11	)	)	PUNCT
abr-132	241	12	.	.	PUNCT
abr-132	242	1	information	information	NOUN
abr-132	242	2	technology	technology	NOUN
abr-132	242	3	and	and	CCONJ
abr-132	242	4	productivity	productivity	NOUN
abr-132	242	5	:	:	PUNCT
abr-132	242	6	evidence	evidence	NOUN
abr-132	242	7	from	from	ADP
abr-132	242	8	country	country	NOUN
abr-132	242	9	-	-	PUNCT
abr-132	242	10	level	level	NOUN
abr-132	242	11	data	datum	NOUN
abr-132	242	12	.	.	PUNCT
abr-132	243	1	management	management	NOUN
abr-132	243	2	science	science	NOUN
abr-132	243	3	,	,	PUNCT
abr-132	243	4	46(4	46(4	NOUN
abr-132	243	5	)	)	PUNCT
abr-132	243	6	,	,	PUNCT
abr-132	243	7	548	548	NUM
abr-132	243	8	-	-	SYM
abr-132	243	9	562	562	NUM
abr-132	243	10	.	.	PUNCT
abr-132	244	1	hofstede	hofstede	NOUN
abr-132	244	2	,	,	PUNCT
abr-132	244	3	g.	g.	PROPN
abr-132	244	4	(	(	PUNCT
abr-132	244	5	1983	1983	NUM
abr-132	244	6	)	)	PUNCT
abr-132	244	7	.	.	PUNCT
abr-132	245	1	the	the	DET
abr-132	245	2	cultural	cultural	ADJ
abr-132	245	3	relativity	relativity	NOUN
abr-132	245	4	of	of	ADP
abr-132	245	5	organizational	organizational	ADJ
abr-132	245	6	practices	practice	NOUN
abr-132	245	7	and	and	CCONJ
abr-132	245	8	theories	theory	NOUN
abr-132	245	9	.	.	PUNCT
abr-132	246	1	journal	journal	PROPN
abr-132	246	2	of	of	ADP
abr-132	246	3	international	international	ADJ
abr-132	246	4	business	business	NOUN
abr-132	246	5	studies	study	NOUN
abr-132	246	6	,	,	PUNCT
abr-132	246	7	14(2	14(2	NUM
abr-132	246	8	)	)	PUNCT
abr-132	246	9	,	,	PUNCT
abr-132	246	10	75	75	NUM
abr-132	246	11	-	-	SYM
abr-132	246	12	89	89	NUM
abr-132	246	13	.	.	PUNCT
abr-132	247	1	gallup	gallup	NOUN
abr-132	247	2	(	(	PUNCT
abr-132	247	3	2006	2006	NUM
abr-132	247	4	-	-	SYM
abr-132	247	5	2012	2012	NUM
abr-132	247	6	)	)	PUNCT
abr-132	247	7	.	.	PUNCT
abr-132	248	1	worldwide	worldwide	ADJ
abr-132	248	2	median	median	ADJ
abr-132	248	3	household	household	NOUN
abr-132	248	4	income	income	NOUN
abr-132	248	5	.	.	PUNCT
abr-132	249	1	retrieved	retrieve	VERB
abr-132	249	2	from	from	ADP
abr-132	249	3	http://www.gallup.com/poll/166211/worldwide-median-household-income-000.aspx	http://www.gallup.com/poll/166211/worldwide-median-household-income-000.aspx	PROPN
abr-132	249	4	goel	goel	PROPN
abr-132	249	5	,	,	PUNCT
abr-132	249	6	r.	r.	PROPN
abr-132	249	7	,	,	PUNCT
abr-132	249	8	&	&	CCONJ
abr-132	249	9	nelson	nelson	PROPN
abr-132	249	10	,	,	PUNCT
abr-132	249	11	m.	m.	NOUN
abr-132	249	12	(	(	PUNCT
abr-132	249	13	2012	2012	NUM
abr-132	249	14	)	)	PUNCT
abr-132	249	15	.	.	PUNCT
abr-132	250	1	shadow	shadow	NOUN
abr-132	250	2	economy	economy	NOUN
abr-132	250	3	and	and	CCONJ
abr-132	250	4	international	international	ADJ
abr-132	250	5	software	software	NOUN
abr-132	250	6	piracy	piracy	NOUN
abr-132	250	7	.	.	PUNCT
abr-132	251	1	applied	apply	VERB
abr-132	251	2	financial	financial	ADJ
abr-132	251	3	economics	economic	NOUN
abr-132	251	4	,	,	PUNCT
abr-132	251	5	22	22	NUM
abr-132	251	6	,	,	PUNCT
abr-132	251	7	1951	1951	NUM
abr-132	251	8	-	-	SYM
abr-132	251	9	1959	1959	NUM
abr-132	251	10	.	.	PUNCT
abr-132	252	1	gopal	gopal	PROPN
abr-132	252	2	,	,	PUNCT
abr-132	252	3	r.	r.	PROPN
abr-132	252	4	,	,	PUNCT
abr-132	252	5	&	&	CCONJ
abr-132	252	6	sanders	sanders	PROPN
abr-132	252	7	,	,	PUNCT
abr-132	252	8	g.	g.	PROPN
abr-132	252	9	(	(	PUNCT
abr-132	252	10	2000	2000	NUM
abr-132	252	11	)	)	PUNCT
abr-132	252	12	.	.	PUNCT
abr-132	253	1	global	global	ADJ
abr-132	253	2	software	software	NOUN
abr-132	253	3	piracy	piracy	NOUN
abr-132	253	4	:	:	PUNCT
abr-132	253	5	you	you	PRON
abr-132	253	6	ca	can	AUX
abr-132	253	7	n't	not	PART
abr-132	253	8	get	get	VERB
abr-132	253	9	blood	blood	NOUN
abr-132	253	10	out	out	ADP
abr-132	253	11	of	of	ADP
abr-132	253	12	a	a	DET
abr-132	253	13	turnip	turnip	NOUN
abr-132	253	14	.	.	PUNCT
abr-132	254	1	communications	communication	NOUN
abr-132	254	2	of	of	ADP
abr-132	254	3	the	the	DET
abr-132	254	4	acm	acm	NOUN
abr-132	254	5	,	,	PUNCT
abr-132	254	6	43(9	43(9	NUM
abr-132	254	7	)	)	PUNCT
abr-132	254	8	,	,	PUNCT
abr-132	254	9	83	83	NUM
abr-132	254	10	-	-	SYM
abr-132	254	11	89	89	NUM
abr-132	254	12	.	.	PUNCT
abr-132	255	1	gopal	gopal	PROPN
abr-132	255	2	,	,	PUNCT
abr-132	255	3	r.	r.	PROPN
abr-132	255	4	,	,	PUNCT
abr-132	255	5	&	&	CCONJ
abr-132	255	6	sanders	sanders	PROPN
abr-132	255	7	,	,	PUNCT
abr-132	255	8	g.	g.	PROPN
abr-132	255	9	(	(	PUNCT
abr-132	255	10	1998	1998	NUM
abr-132	255	11	)	)	PUNCT
abr-132	255	12	.	.	PUNCT
abr-132	256	1	international	international	ADJ
abr-132	256	2	software	software	NOUN
abr-132	256	3	piracy	piracy	NOUN
abr-132	256	4	:	:	PUNCT
abr-132	256	5	analysis	analysis	NOUN
abr-132	256	6	of	of	ADP
abr-132	256	7	key	key	ADJ
abr-132	256	8	issues	issue	NOUN
abr-132	256	9	and	and	CCONJ
abr-132	256	10	impacts	impact	NOUN
abr-132	256	11	.	.	PUNCT
abr-132	257	1	information	information	NOUN
abr-132	257	2	systems	system	NOUN
abr-132	257	3	research	research	NOUN
abr-132	257	4	,	,	PUNCT
abr-132	257	5	9(4	9(4	NUM
abr-132	257	6	)	)	PUNCT
abr-132	257	7	,	,	PUNCT
abr-132	257	8	380	380	NUM
abr-132	257	9	-	-	SYM
abr-132	257	10	397	397	NUM
abr-132	257	11	.	.	PUNCT
abr-132	258	1	hamister	hamister	PROPN
abr-132	258	2	,	,	PUNCT
abr-132	258	3	j.	j.	PROPN
abr-132	258	4	,	,	PUNCT
abr-132	258	5	&	&	CCONJ
abr-132	258	6	braunscheidel	braunscheidel	PROPN
abr-132	258	7	,	,	PUNCT
abr-132	258	8	m.	m.	NOUN
abr-132	258	9	(	(	PUNCT
abr-132	258	10	2013	2013	NUM
abr-132	258	11	)	)	PUNCT
abr-132	258	12	.	.	PUNCT
abr-132	259	1	software	software	NOUN
abr-132	259	2	piracy	piracy	NOUN
abr-132	259	3	and	and	CCONJ
abr-132	259	4	intellectual	intellectual	ADJ
abr-132	259	5	property	property	NOUN
abr-132	259	6	rights	right	NOUN
abr-132	259	7	protection	protection	NOUN
abr-132	259	8	.	.	PUNCT
abr-132	260	1	academy	academy	PROPN
abr-132	260	2	of	of	ADP
abr-132	260	3	information	information	NOUN
abr-132	260	4	and	and	CCONJ
abr-132	260	5	management	management	NOUN
abr-132	260	6	sciences	sciences	PROPN
abr-132	260	7	journal	journal	PROPN
abr-132	260	8	,	,	PUNCT
abr-132	260	9	16(1	16(1	NUM
abr-132	260	10	)	)	PUNCT
abr-132	260	11	,	,	PUNCT
abr-132	260	12	15	15	NUM
abr-132	260	13	-	-	SYM
abr-132	260	14	35	35	NUM
abr-132	260	15	.	.	PUNCT
abr-132	261	1	harbi	harbi	PROPN
abr-132	261	2	,	,	PUNCT
abr-132	261	3	s.	s.	PROPN
abr-132	261	4	,	,	PUNCT
abr-132	261	5	grolleau	grolleau	PROPN
abr-132	261	6	,	,	PUNCT
abr-132	261	7	g.	g.	PROPN
abr-132	261	8	,	,	PUNCT
abr-132	261	9	&	&	CCONJ
abr-132	261	10	bekir	bekir	PROPN
abr-132	261	11	,	,	PUNCT
abr-132	261	12	i.	i.	PROPN
abr-132	261	13	(	(	PUNCT
abr-132	261	14	2012	2012	NUM
abr-132	261	15	)	)	PUNCT
abr-132	261	16	.	.	PUNCT
abr-132	261	17	is	be	AUX
abr-132	261	18	there	there	PRON
abr-132	261	19	a	a	DET
abr-132	261	20	piracy	piracy	NOUN
abr-132	261	21	kuznets	kuznet	NOUN
abr-132	261	22	curve	curve	VERB
abr-132	261	23	?	?	PUNCT
abr-132	262	1	review	review	NOUN
abr-132	262	2	of	of	ADP
abr-132	262	3	law	law	NOUN
abr-132	262	4	&	&	CCONJ
abr-132	262	5	economics	economic	NOUN
abr-132	262	6	,	,	PUNCT
abr-132	262	7	8(2	8(2	NUM
abr-132	262	8	)	)	PUNCT
abr-132	262	9	,	,	PUNCT
abr-132	262	10	433	433	NUM
abr-132	262	11	-	-	SYM
abr-132	262	12	456	456	NUM
abr-132	262	13	.	.	PUNCT
abr-132	263	1	husted	huste	VERB
abr-132	263	2	,	,	PUNCT
abr-132	263	3	b.	b.	PROPN
abr-132	263	4	(	(	PUNCT
abr-132	263	5	2000	2000	NUM
abr-132	263	6	)	)	PUNCT
abr-132	263	7	.	.	PUNCT
abr-132	264	1	the	the	DET
abr-132	264	2	impact	impact	NOUN
abr-132	264	3	of	of	ADP
abr-132	264	4	national	national	ADJ
abr-132	264	5	culture	culture	NOUN
abr-132	264	6	on	on	ADP
abr-132	264	7	software	software	NOUN
abr-132	264	8	piracy	piracy	NOUN
abr-132	264	9	.	.	PUNCT
abr-132	265	1	journal	journal	PROPN
abr-132	265	2	of	of	ADP
abr-132	265	3	business	business	NOUN
abr-132	265	4	ethics	ethic	NOUN
abr-132	265	5	,	,	PUNCT
abr-132	265	6	26(3	26(3	NUM
abr-132	265	7	)	)	PUNCT
abr-132	265	8	,	,	PUNCT
abr-132	265	9	197	197	NUM
abr-132	265	10	-	-	SYM
abr-132	265	11	211	211	NUM
abr-132	265	12	.	.	PUNCT
abr-132	266	1	income	income	NOUN
abr-132	266	2	and	and	CCONJ
abr-132	266	3	national	national	ADJ
abr-132	266	4	software	software	NOUN
abr-132	266	5	piracy	piracy	NOUN
abr-132	266	6	62	62	NUM
abr-132	266	7	kariithi	kariithi	NOUN
abr-132	266	8	,	,	PUNCT
abr-132	266	9	n.	n.	NOUN
abr-132	266	10	(	(	PUNCT
abr-132	266	11	2011	2011	NUM
abr-132	266	12	)	)	PUNCT
abr-132	266	13	.	.	PUNCT
abr-132	266	14	is	be	AUX
abr-132	266	15	the	the	DET
abr-132	266	16	devil	devil	NOUN
abr-132	266	17	in	in	ADP
abr-132	266	18	the	the	DET
abr-132	266	19	data	data	NOUN
abr-132	266	20	?	?	PUNCT
abr-132	267	1	a	a	DET
abr-132	267	2	literature	literature	NOUN
abr-132	267	3	review	review	NOUN
abr-132	267	4	of	of	ADP
abr-132	267	5	piracy	piracy	NOUN
abr-132	267	6	around	around	ADP
abr-132	267	7	the	the	DET
abr-132	267	8	world	world	NOUN
abr-132	267	9	.	.	PUNCT
abr-132	268	1	the	the	DET
abr-132	268	2	journal	journal	PROPN
abr-132	268	3	of	of	ADP
abr-132	268	4	world	world	NOUN
abr-132	268	5	intellectual	intellectual	ADJ
abr-132	268	6	property	property	NOUN
abr-132	268	7	,	,	PUNCT
abr-132	268	8	14(2	14(2	NUM
abr-132	268	9	)	)	PUNCT
abr-132	268	10	,	,	PUNCT
abr-132	268	11	133	133	NUM
abr-132	268	12	-	-	SYM
abr-132	268	13	154	154	NUM
abr-132	268	14	.	.	PUNCT
abr-132	269	1	kovacic	kovacic	PROPN
abr-132	269	2	,	,	PUNCT
abr-132	269	3	z.	z.	PROPN
abr-132	269	4	(	(	PUNCT
abr-132	269	5	2007	2007	NUM
abr-132	269	6	)	)	PUNCT
abr-132	269	7	.	.	PUNCT
abr-132	270	1	determinants	determinant	NOUN
abr-132	270	2	of	of	ADP
abr-132	270	3	worldwide	worldwide	ADJ
abr-132	270	4	software	software	NOUN
abr-132	270	5	piracy	piracy	NOUN
abr-132	270	6	.	.	PUNCT
abr-132	271	1	127	127	NUM
abr-132	271	2	-	-	SYM
abr-132	271	3	150	150	NUM
abr-132	271	4	.	.	PUNCT
abr-132	272	1	marron	marron	PROPN
abr-132	272	2	,	,	PUNCT
abr-132	272	3	d.	d.	PROPN
abr-132	272	4	,	,	PUNCT
abr-132	272	5	&	&	CCONJ
abr-132	272	6	steel	steel	PROPN
abr-132	272	7	,	,	PUNCT
abr-132	272	8	d.	d.	PROPN
abr-132	272	9	(	(	PUNCT
abr-132	272	10	2000	2000	NUM
abr-132	272	11	)	)	PUNCT
abr-132	272	12	.	.	PUNCT
abr-132	273	1	which	which	DET
abr-132	273	2	countries	country	NOUN
abr-132	273	3	protect	protect	VERB
abr-132	273	4	intellectual	intellectual	ADJ
abr-132	273	5	property	property	NOUN
abr-132	273	6	?	?	PUNCT
abr-132	274	1	the	the	DET
abr-132	274	2	case	case	NOUN
abr-132	274	3	of	of	ADP
abr-132	274	4	software	software	NOUN
abr-132	274	5	piracy	piracy	NOUN
abr-132	274	6	.	.	PUNCT
abr-132	275	1	economic	economic	ADJ
abr-132	275	2	inquiry	inquiry	NOUN
abr-132	275	3	,	,	PUNCT
abr-132	275	4	38(2	38(2	NOUN
abr-132	275	5	)	)	PUNCT
abr-132	275	6	,	,	PUNCT
abr-132	275	7	159	159	NUM
abr-132	275	8	-	-	SYM
abr-132	275	9	174	174	NUM
abr-132	275	10	.	.	PUNCT
abr-132	276	1	merritt	merritt	PROPN
abr-132	276	2	,	,	PUNCT
abr-132	276	3	a.	a.	NOUN
abr-132	276	4	(	(	PUNCT
abr-132	276	5	2000	2000	NUM
abr-132	276	6	)	)	PUNCT
abr-132	276	7	.	.	PUNCT
abr-132	277	1	culture	culture	NOUN
abr-132	277	2	in	in	ADP
abr-132	277	3	the	the	DET
abr-132	277	4	cockpit	cockpit	NOUN
abr-132	277	5	:	:	PUNCT
abr-132	277	6	do	do	AUX
abr-132	277	7	hofstede	hofstede	NOUN
abr-132	277	8	’s	’s	PART
abr-132	277	9	measures	measure	NOUN
abr-132	277	10	replicate	replicate	VERB
abr-132	277	11	?	?	PUNCT
abr-132	278	1	journal	journal	PROPN
abr-132	278	2	of	of	ADP
abr-132	278	3	cross	cross	ADJ
abr-132	278	4	-	-	ADJ
abr-132	278	5	cultural	cultural	ADJ
abr-132	278	6	psychology	psychology	NOUN
abr-132	278	7	,	,	PUNCT
abr-132	278	8	31	31	NUM
abr-132	278	9	,	,	PUNCT
abr-132	278	10	283	283	NUM
abr-132	278	11	-	-	SYM
abr-132	278	12	301	301	NUM
abr-132	278	13	.	.	PUNCT
abr-132	279	1	olkin	olkin	PROPN
abr-132	279	2	,	,	PUNCT
abr-132	279	3	i.	i.	NOUN
abr-132	279	4	and	and	CCONJ
abr-132	279	5	finn	finn	PROPN
abr-132	279	6	,	,	PUNCT
abr-132	279	7	j.d	j.d	PROPN
abr-132	279	8	.	.	PROPN
abr-132	279	9	(	(	PUNCT
abr-132	279	10	1995	1995	NUM
abr-132	279	11	)	)	PUNCT
abr-132	279	12	.	.	PUNCT
abr-132	280	1	correlations	correlation	NOUN
abr-132	280	2	redux	redux	PROPN
abr-132	280	3	.	.	PUNCT
abr-132	281	1	psychological	psychological	ADJ
abr-132	281	2	bulletin	bulletin	NOUN
abr-132	281	3	,	,	PUNCT
abr-132	281	4	118(1	118(1	NUM
abr-132	281	5	)	)	PUNCT
abr-132	281	6	,	,	PUNCT
abr-132	282	1	pp	pp	ADP
abr-132	282	2	.	.	PUNCT
abr-132	283	1	155	155	NUM
abr-132	283	2	-	-	SYM
abr-132	283	3	164	164	NUM
abr-132	283	4	.	.	PUNCT
abr-132	284	1	swinyard	swinyard	NOUN
abr-132	284	2	,	,	PUNCT
abr-132	284	3	w.	w.	PROPN
abr-132	284	4	,	,	PUNCT
abr-132	284	5	rinne	rinne	PROPN
abr-132	284	6	,	,	PUNCT
abr-132	284	7	h.	h.	PROPN
abr-132	284	8	,	,	PUNCT
abr-132	284	9	&	&	CCONJ
abr-132	284	10	kau	kau	PROPN
abr-132	284	11	,	,	PUNCT
abr-132	284	12	a.	a.	NOUN
abr-132	284	13	(	(	PUNCT
abr-132	284	14	1990	1990	NUM
abr-132	284	15	)	)	PUNCT
abr-132	284	16	.	.	PUNCT
abr-132	285	1	the	the	DET
abr-132	285	2	morality	morality	NOUN
abr-132	285	3	of	of	ADP
abr-132	285	4	software	software	NOUN
abr-132	285	5	piracy	piracy	NOUN
abr-132	285	6	:	:	PUNCT
abr-132	285	7	a	a	DET
abr-132	285	8	cross	cross	ADJ
abr-132	285	9	-	-	ADJ
abr-132	285	10	cultural	cultural	ADJ
abr-132	285	11	analysis	analysis	NOUN
abr-132	285	12	.	.	PUNCT
abr-132	286	1	journal	journal	PROPN
abr-132	286	2	of	of	ADP
abr-132	286	3	business	business	NOUN
abr-132	286	4	ethics	ethic	NOUN
abr-132	286	5	,	,	PUNCT
abr-132	286	6	9	9	NUM
abr-132	286	7	,	,	PUNCT
abr-132	286	8	655	655	NUM
abr-132	286	9	-	-	PUNCT
abr-132	286	10	664	664	NUM
abr-132	286	11	.	.	PUNCT
abr-132	287	1	the	the	DET
abr-132	287	2	world	world	PROPN
abr-132	287	3	bank	bank	PROPN
abr-132	287	4	,	,	PUNCT
abr-132	287	5	world	world	NOUN
abr-132	287	6	development	development	NOUN
abr-132	287	7	indicators	indicator	NOUN
abr-132	287	8	(	(	PUNCT
abr-132	287	9	2006	2006	NUM
abr-132	287	10	-	-	SYM
abr-132	287	11	2013	2013	NUM
abr-132	287	12	)	)	PUNCT
abr-132	287	13	.	.	PUNCT
abr-132	288	1	gdp	gdp	NOUN
abr-132	288	2	per	per	ADP
abr-132	288	3	capita	capita	X
abr-132	288	4	(	(	PUNCT
abr-132	288	5	current	current	ADJ
abr-132	288	6	us$	us$	NOUN
abr-132	288	7	)	)	PUNCT
abr-132	288	8	.	.	PUNCT
abr-132	289	1	[	[	X
abr-132	289	2	data	datum	NOUN
abr-132	289	3	file	file	NOUN
abr-132	289	4	]	]	PUNCT
abr-132	289	5	.	.	PUNCT
abr-132	290	1	retrieved	retrieve	VERB
abr-132	290	2	from	from	ADP
abr-132	290	3	http://data.worldbank.org/indicator/ny.gdp.pcap.cd	http://data.worldbank.org/indicator/ny.gdp.pcap.cd	ADP
abr-132	290	4	the	the	DET
abr-132	290	5	world	world	PROPN
abr-132	290	6	economic	economic	PROPN
abr-132	290	7	forum	forum	PROPN
abr-132	290	8	,	,	PUNCT
abr-132	290	9	competitiveness	competitiveness	NOUN
abr-132	290	10	rankings	ranking	NOUN
abr-132	290	11	(	(	PUNCT
abr-132	290	12	2006	2006	NUM
abr-132	290	13	-	-	SYM
abr-132	290	14	2013	2013	NUM
abr-132	290	15	)	)	PUNCT
abr-132	290	16	.	.	PUNCT
abr-132	291	1	retrieved	retrieve	VERB
abr-132	291	2	from	from	ADP
abr-132	291	3	http://reports.weforum.org/global-competitiveness-report-2014-2015/rankings	http://reports.weforum.org/global-competitiveness-report-2014-2015/ranking	NOUN
abr-132	291	4	thong	thong	NOUN
abr-132	291	5	,	,	PUNCT
abr-132	291	6	j.	j.	PROPN
abr-132	291	7	,	,	PUNCT
abr-132	291	8	&	&	CCONJ
abr-132	291	9	yap	yap	PROPN
abr-132	291	10	,	,	PUNCT
abr-132	291	11	c.	c.	PROPN
abr-132	291	12	(	(	PUNCT
abr-132	291	13	1998	1998	NUM
abr-132	291	14	)	)	PUNCT
abr-132	291	15	.	.	PUNCT
abr-132	292	1	testing	test	VERB
abr-132	292	2	an	an	DET
abr-132	292	3	ethical	ethical	ADJ
abr-132	292	4	decision	decision	NOUN
abr-132	292	5	-	-	PUNCT
abr-132	292	6	making	make	VERB
abr-132	292	7	theory	theory	NOUN
abr-132	292	8	:	:	PUNCT
abr-132	292	9	the	the	DET
abr-132	292	10	case	case	NOUN
abr-132	292	11	of	of	ADP
abr-132	292	12	softlifting	softlifte	VERB
abr-132	292	13	.	.	PUNCT
abr-132	293	1	journal	journal	PROPN
abr-132	293	2	of	of	ADP
abr-132	293	3	management	management	NOUN
abr-132	293	4	information	information	NOUN
abr-132	293	5	systems	system	NOUN
abr-132	293	6	,	,	PUNCT
abr-132	293	7	15(1	15(1	NUM
abr-132	293	8	)	)	PUNCT
abr-132	293	9	,	,	PUNCT
abr-132	293	10	213	213	NUM
abr-132	293	11	-	-	SYM
abr-132	293	12	237	237	NUM
abr-132	293	13	.	.	PUNCT
abr-132	294	1	transparency	transparency	NOUN
abr-132	294	2	international	international	NOUN
abr-132	294	3	,	,	PUNCT
abr-132	294	4	(	(	PUNCT
abr-132	294	5	2006	2006	NUM
abr-132	294	6	-	-	SYM
abr-132	294	7	2013	2013	NUM
abr-132	294	8	)	)	PUNCT
abr-132	294	9	.	.	PUNCT
abr-132	295	1	corruption	corruption	NOUN
abr-132	295	2	perceptions	perception	NOUN
abr-132	295	3	index	index	NOUN
abr-132	295	4	.	.	PUNCT
abr-132	296	1	retrieved	retrieve	VERB
abr-132	296	2	from	from	ADP
abr-132	296	3	the	the	DET
abr-132	296	4	world	world	NOUN
abr-132	296	5	wide	wide	ADJ
abr-132	296	6	web	web	NOUN
abr-132	296	7	:	:	PUNCT
abr-132	296	8	http://www.transparency.org/cpi2013/results	http://www.transparency.org/cpi2013/results	PROPN
abr-132	296	9	yang	yang	PROPN
abr-132	296	10	,	,	PUNCT
abr-132	296	11	d.	d.	PROPN
abr-132	296	12	,	,	PUNCT
abr-132	296	13	sonmez	sonmez	NOUN
abr-132	296	14	,	,	PUNCT
abr-132	296	15	m.	m.	NOUN
abr-132	296	16	,	,	PUNCT
abr-132	296	17	bosworth	bosworth	PROPN
abr-132	296	18	,	,	PUNCT
abr-132	296	19	d.	d.	PROPN
abr-132	296	20	,	,	PUNCT
abr-132	296	21	&	&	CCONJ
abr-132	296	22	fryxell	fryxell	PROPN
abr-132	296	23	,	,	PUNCT
abr-132	296	24	g.	g.	PROPN
abr-132	296	25	(	(	PUNCT
abr-132	296	26	2009	2009	NUM
abr-132	296	27	)	)	PUNCT
abr-132	296	28	.	.	PUNCT
abr-132	297	1	global	global	ADJ
abr-132	297	2	software	software	NOUN
abr-132	297	3	piracy	piracy	NOUN
abr-132	297	4	:	:	PUNCT
abr-132	297	5	searching	search	VERB
abr-132	297	6	for	for	ADP
abr-132	297	7	further	further	ADJ
abr-132	297	8	explanations	explanation	NOUN
abr-132	297	9	.	.	PUNCT
abr-132	298	1	journal	journal	NOUN
abr-132	298	2	of	of	ADP
abr-132	298	3	business	business	NOUN
abr-132	298	4	ethics	ethic	NOUN
abr-132	298	5	,	,	PUNCT
abr-132	298	6	87	87	NUM
abr-132	298	7	,	,	PUNCT
abr-132	298	8	269	269	NUM
abr-132	298	9	-	-	SYM
abr-132	298	10	283	283	NUM
abr-132	298	11	.	.	PUNCT
abr-132	299	1	eric	eric	PROPN
abr-132	299	2	kyper	kyper	PROPN
abr-132	299	3	,	,	PUNCT
abr-132	299	4	gerald	gerald	PROPN
abr-132	299	5	prante	prante	PROPN
abr-132	299	6	,	,	PUNCT
abr-132	299	7	and	and	CCONJ
abr-132	299	8	lee	lee	PROPN
abr-132	299	9	schimmoeller	schimmoeller	PROPN
abr-132	299	10	work	work	VERB
abr-132	299	11	at	at	ADP
abr-132	299	12	lynchburg	lynchburg	PROPN
abr-132	299	13	college	college	PROPN
abr-132	299	14	.	.	PUNCT
abr-132	300	1	kyper	kyper	NOUN
abr-132	300	2	63	63	NUM
abr-132	300	3	appendix	appendix	VERB
abr-132	300	4	a	a	DET
abr-132	300	5	list	list	NOUN
abr-132	300	6	of	of	ADP
abr-132	300	7	countries	country	NOUN
abr-132	300	8	included	include	VERB
abr-132	300	9	in	in	ADP
abr-132	300	10	multiple	multiple	ADJ
abr-132	300	11	regression	regression	NOUN
abr-132	300	12	analyses	analyse	VERB
abr-132	300	13	australia	australia	PROPN
abr-132	300	14	guatemala	guatemala	PROPN
abr-132	300	15	peru	peru	PROPN
abr-132	300	16	austria	austria	PROPN
abr-132	300	17	hong	hong	PROPN
abr-132	300	18	kong	kong	PROPN
abr-132	300	19	poland	poland	PROPN
abr-132	300	20	bangladesh	bangladesh	PROPN
abr-132	300	21	hungary	hungary	PROPN
abr-132	300	22	portugal	portugal	PROPN
abr-132	300	23	belgium	belgium	PROPN
abr-132	300	24	india	india	PROPN
abr-132	300	25	romania	romania	PROPN
abr-132	300	26	brazil	brazil	PROPN
abr-132	300	27	indonesia	indonesia	PROPN
abr-132	300	28	russia	russia	PROPN
abr-132	300	29	bulgaria	bulgaria	PROPN
abr-132	300	30	ireland	ireland	PROPN
abr-132	300	31	serbia	serbia	PROPN
abr-132	300	32	canada	canada	PROPN
abr-132	300	33	israel	israel	PROPN
abr-132	300	34	singapore	singapore	PROPN
abr-132	300	35	chile	chile	PROPN
abr-132	300	36	italy	italy	PROPN
abr-132	300	37	slovakia	slovakia	PROPN
abr-132	300	38	china	china	PROPN
abr-132	300	39	japan	japan	PROPN
abr-132	300	40	slovenia	slovenia	PROPN
abr-132	300	41	colombia	colombia	PROPN
abr-132	300	42	latvia	latvia	PROPN
abr-132	300	43	south	south	PROPN
abr-132	300	44	africa	africa	PROPN
abr-132	300	45	costa	costa	PROPN
abr-132	300	46	rica	rica	PROPN
abr-132	300	47	lithuania	lithuania	PROPN
abr-132	300	48	south	south	PROPN
abr-132	300	49	korea	korea	PROPN
abr-132	300	50	croatia	croatia	PROPN
abr-132	300	51	malaysia	malaysia	PROPN
abr-132	300	52	spain	spain	PROPN
abr-132	300	53	czech	czech	PROPN
abr-132	300	54	republic	republic	PROPN
abr-132	300	55	malta	malta	PROPN
abr-132	300	56	sweden	sweden	PROPN
abr-132	300	57	denmark	denmark	PROPN
abr-132	300	58	mexico	mexico	PROPN
abr-132	300	59	thailand	thailand	PROPN
abr-132	300	60	el	el	PROPN
abr-132	300	61	salvador	salvador	PROPN
abr-132	300	62	morocco	morocco	PROPN
abr-132	300	63	turkey	turkey	PROPN
abr-132	300	64	estonia	estonia	PROPN
abr-132	300	65	netherlands	netherlands	PROPN
abr-132	300	66	united	united	PROPN
abr-132	300	67	kingdom	kingdom	PROPN
abr-132	300	68	finland	finland	PROPN
abr-132	300	69	new	new	PROPN
abr-132	300	70	zealand	zealand	PROPN
abr-132	300	71	united	united	PROPN
abr-132	300	72	states	states	PROPN
abr-132	300	73	france	france	PROPN
abr-132	300	74	norway	norway	PROPN
abr-132	300	75	uruguay	uruguay	PROPN
abr-132	300	76	germany	germany	PROPN
abr-132	300	77	pakistan	pakistan	PROPN
abr-132	300	78	venezuela	venezuela	PROPN
abr-132	300	79	greece	greece	PROPN
abr-132	300	80	panama	panama	PROPN
abr-132	300	81	vietnam	vietnam	PROPN
abr-132	300	82	additional	additional	ADJ
abr-132	300	83	countries	country	NOUN
abr-132	300	84	included	include	VERB
abr-132	300	85	in	in	ADP
abr-132	300	86	the	the	DET
abr-132	300	87	bivariate	bivariate	ADJ
abr-132	300	88	regressions	regression	NOUN
abr-132	300	89	of	of	ADP
abr-132	300	90	income	income	NOUN
abr-132	300	91	and	and	CCONJ
abr-132	300	92	software	software	NOUN
abr-132	300	93	piracy	piracy	NOUN
abr-132	300	94	albania	albania	PROPN
abr-132	300	95	egypt	egypt	PROPN
abr-132	300	96	nicaragua	nicaragua	PROPN
abr-132	300	97	algeria	algeria	PROPN
abr-132	300	98	georgia	georgia	PROPN
abr-132	300	99	nigeria	nigeria	PROPN
abr-132	300	100	armenia	armenia	PROPN
abr-132	300	101	honduras	honduras	PROPN
abr-132	300	102	paraguay	paraguay	PROPN
abr-132	300	103	azerbaijan	azerbaijan	PROPN
abr-132	300	104	iraq	iraq	PROPN
abr-132	300	105	qatar	qatar	PROPN
abr-132	300	106	bahrain	bahrain	PROPN
abr-132	300	107	jordan	jordan	PROPN
abr-132	300	108	saudi	saudi	PROPN
abr-132	300	109	arabia	arabia	PROPN
abr-132	300	110	belarus	belarus	PROPN
abr-132	300	111	kazakhstan	kazakhstan	PROPN
abr-132	300	112	senegal	senegal	PROPN
abr-132	300	113	bolivia	bolivia	PROPN
abr-132	300	114	kenya	kenya	PROPN
abr-132	300	115	sri	sri	PROPN
abr-132	300	116	lanka	lanka	PROPN
abr-132	300	117	bosnia	bosnia	PROPN
abr-132	300	118	and	and	CCONJ
abr-132	300	119	herzegovina	herzegovina	PROPN
abr-132	300	120	kuwait	kuwait	PROPN
abr-132	300	121	tunisia	tunisia	PROPN
abr-132	300	122	botswana	botswana	PROPN
abr-132	300	123	lebanon	lebanon	PROPN
abr-132	300	124	ukraine	ukraine	PROPN
abr-132	300	125	cameroon	cameroon	PROPN
abr-132	300	126	libya	libya	PROPN
abr-132	300	127	yemen	yemen	PROPN
abr-132	300	128	cyprus	cyprus	PROPN
abr-132	300	129	luxembourg	luxembourg	PROPN
abr-132	300	130	zambia	zambia	PROPN
abr-132	300	131	dominican	dominican	PROPN
abr-132	300	132	republic	republic	PROPN
abr-132	300	133	moldova	moldova	PROPN
abr-132	300	134	ecuador	ecuador	PROPN
abr-132	300	135	montenegro	montenegro	PROPN
abr-132	300	136	income	income	PROPN
abr-132	300	137	and	and	CCONJ
abr-132	300	138	national	national	ADJ
abr-132	300	139	software	software	NOUN
abr-132	300	140	piracy	piracy	NOUN
abr-132	300	141	64	64	NUM
abr-132	300	142	the	the	DET
abr-132	300	143	following	follow	VERB
abr-132	300	144	10	10	NUM
abr-132	300	145	countries	country	NOUN
abr-132	300	146	have	have	VERB
abr-132	300	147	bsa	bsa	PROPN
abr-132	300	148	piracy	piracy	NOUN
abr-132	300	149	rates	rate	NOUN
abr-132	300	150	but	but	CCONJ
abr-132	300	151	are	be	AUX
abr-132	300	152	lacking	lack	VERB
abr-132	300	153	data	datum	NOUN
abr-132	300	154	for	for	ADP
abr-132	300	155	either	either	DET
abr-132	300	156	gdp	gdp	NOUN
abr-132	300	157	per	per	ADP
abr-132	300	158	capita	capita	NOUN
abr-132	300	159	or	or	CCONJ
abr-132	300	160	median	median	ADJ
abr-132	300	161	household	household	NOUN
abr-132	300	162	income	income	NOUN
abr-132	300	163	:	:	PUNCT
abr-132	300	164	argentina	argentina	PROPN
abr-132	300	165	mauritius	mauritius	PROPN
abr-132	300	166	taiwan	taiwan	PROPN
abr-132	300	167	brunei	brunei	PROPN
abr-132	300	168	oman	oman	PROPN
abr-132	300	169	uae	uae	PROPN
abr-132	300	170	iceland	iceland	PROPN
abr-132	300	171	puerto	puerto	PROPN
abr-132	300	172	rico	rico	PROPN
abr-132	300	173	ivory	ivory	PROPN
abr-132	300	174	coast	coast	PROPN
abr-132	300	175	switzerland	switzerland	PROPN
abr-132	301	1	kyper	kyper	PROPN
abr-132	301	2	65	65	NUM
abr-132	302	1	appendix	appendix	NOUN
abr-132	302	2	b	b	AUX
abr-132	302	3	do	do	AUX
abr-132	302	4	alternative	alternative	ADJ
abr-132	302	5	income	income	NOUN
abr-132	302	6	measures	measure	NOUN
abr-132	302	7	better	well	ADV
abr-132	302	8	predict	predict	VERB
abr-132	302	9	national	national	ADJ
abr-132	302	10	software	software	NOUN
abr-132	302	11	piracy	piracy	NOUN
abr-132	302	12	rates	rate	NOUN
abr-132	302	13	than	than	ADP
abr-132	302	14	standard	standard	ADJ
abr-132	302	15	gdp	gdp	NOUN
abr-132	302	16	per	per	ADP
abr-132	302	17	capita	capita	NOUN
abr-132	302	18	?	?	PUNCT
abr-132	303	1	ho1	ho1	NOUN
abr-132	303	2	:	:	PUNCT
abr-132	303	3	mean	mean	VERB
abr-132	303	4	gdp	gdp	NOUN
abr-132	303	5	per	per	ADP
abr-132	303	6	capita	capita	NOUN
abr-132	303	7	and	and	CCONJ
abr-132	303	8	square	square	ADJ
abr-132	303	9	root	root	NOUN
abr-132	303	10	of	of	ADP
abr-132	303	11	mean	mean	PROPN
abr-132	303	12	gdp	gdp	NOUN
abr-132	303	13	per	per	ADP
abr-132	303	14	capita	capita	X
abr-132	303	15	have	have	VERB
abr-132	303	16	the	the	DET
abr-132	303	17	same	same	ADJ
abr-132	303	18	predictive	predictive	ADJ
abr-132	303	19	power	power	NOUN
abr-132	303	20	of	of	ADP
abr-132	303	21	national	national	ADJ
abr-132	303	22	software	software	NOUN
abr-132	303	23	piracy	piracy	NOUN
abr-132	303	24	rates	rate	NOUN
abr-132	303	25	(	(	PUNCT
abr-132	303	26	regression	regression	NOUN
abr-132	303	27	#	#	SYM
abr-132	303	28	1	1	NUM
abr-132	303	29	):	):	PUNCT
abr-132	303	30	software	software	NOUN
abr-132	303	31	piracy	piracy	NOUN
abr-132	303	32	=	=	SYM
abr-132	303	33	b0	b0	PROPN
abr-132	303	34	+	+	CCONJ
abr-132	303	35	b1	b1	NOUN
abr-132	303	36	corruption	corruption	NOUN
abr-132	303	37	index	index	NOUN
abr-132	303	38	+	+	CCONJ
abr-132	303	39	b2	b2	NOUN
abr-132	303	40	ipp	ipp	NOUN
abr-132	303	41	competitiveness	competitiveness	NOUN
abr-132	303	42	index	index	NOUN
abr-132	303	43	+	+	CCONJ
abr-132	303	44	b3	b3	NOUN
abr-132	303	45	collectivism	collectivism	NOUN
abr-132	303	46	index	index	NOUN
abr-132	303	47	+	+	CCONJ
abr-132	303	48	b4	b4	PROPN
abr-132	303	49	gdp	gdp	NOUN
abr-132	303	50	per	per	ADP
abr-132	303	51	capita	capita	NOUN
abr-132	303	52	+	+	CCONJ
abr-132	303	53	ε	ε	PROPN
abr-132	303	54	vs.	vs.	X
abr-132	303	55	(	(	PUNCT
abr-132	303	56	regression	regression	NOUN
abr-132	303	57	#	#	SYM
abr-132	303	58	2	2	NUM
abr-132	303	59	):	):	PUNCT
abr-132	303	60	software	software	NOUN
abr-132	303	61	piracy	piracy	NOUN
abr-132	303	62	=	=	SYM
abr-132	303	63	b0	b0	PROPN
abr-132	303	64	+	+	CCONJ
abr-132	303	65	b1	b1	NOUN
abr-132	303	66	corruption	corruption	NOUN
abr-132	303	67	index	index	NOUN
abr-132	303	68	+	+	CCONJ
abr-132	303	69	b2	b2	NOUN
abr-132	303	70	ipp	ipp	NOUN
abr-132	303	71	competitiveness	competitiveness	NOUN
abr-132	303	72	index	index	NOUN
abr-132	303	73	+	+	CCONJ
abr-132	303	74	b3	b3	NOUN
abr-132	303	75	collectivism	collectivism	NOUN
abr-132	303	76	index	index	NOUN
abr-132	303	77	+	+	CCONJ
abr-132	303	78	b4	b4	PROPN
abr-132	303	79	square	square	ADJ
abr-132	303	80	root	root	NOUN
abr-132	303	81	of	of	ADP
abr-132	303	82	gdp	gdp	NOUN
abr-132	303	83	per	per	ADP
abr-132	303	84	capita	capita	NOUN
abr-132	304	1	+	+	CCONJ
abr-132	304	2	ε	ε	PROPN
abr-132	304	3	ho2	ho2	PROPN
abr-132	304	4	:	:	PUNCT
abr-132	304	5	mean	mean	VERB
abr-132	304	6	gdp	gdp	NOUN
abr-132	304	7	per	per	ADP
abr-132	304	8	capita	capita	NOUN
abr-132	304	9	and	and	CCONJ
abr-132	304	10	median	median	ADJ
abr-132	304	11	household	household	NOUN
abr-132	304	12	income	income	NOUN
abr-132	304	13	have	have	VERB
abr-132	304	14	the	the	DET
abr-132	304	15	same	same	ADJ
abr-132	304	16	predictive	predictive	ADJ
abr-132	304	17	power	power	NOUN
abr-132	304	18	of	of	ADP
abr-132	304	19	national	national	ADJ
abr-132	304	20	software	software	NOUN
abr-132	304	21	piracy	piracy	NOUN
abr-132	304	22	rates	rate	NOUN
abr-132	304	23	(	(	PUNCT
abr-132	304	24	regression	regression	NOUN
abr-132	304	25	#	#	SYM
abr-132	304	26	1	1	NUM
abr-132	304	27	):	):	PUNCT
abr-132	304	28	software	software	NOUN
abr-132	304	29	piracy	piracy	NOUN
abr-132	304	30	=	=	SYM
abr-132	304	31	b0	b0	PROPN
abr-132	304	32	+	+	CCONJ
abr-132	304	33	b1	b1	NOUN
abr-132	304	34	corruption	corruption	NOUN
abr-132	304	35	index	index	NOUN
abr-132	304	36	+	+	CCONJ
abr-132	304	37	b2	b2	NOUN
abr-132	304	38	ipp	ipp	NOUN
abr-132	304	39	competitiveness	competitiveness	NOUN
abr-132	304	40	index	index	NOUN
abr-132	304	41	+	+	CCONJ
abr-132	304	42	b3	b3	NOUN
abr-132	304	43	collectivism	collectivism	NOUN
abr-132	304	44	index	index	NOUN
abr-132	304	45	+	+	CCONJ
abr-132	304	46	b4	b4	PROPN
abr-132	304	47	gdp	gdp	NOUN
abr-132	304	48	per	per	ADP
abr-132	304	49	capita	capita	NOUN
abr-132	304	50	+	+	CCONJ
abr-132	304	51	ε	ε	PROPN
abr-132	304	52	vs.	vs.	X
abr-132	304	53	(	(	PUNCT
abr-132	304	54	regression	regression	NOUN
abr-132	304	55	#	#	SYM
abr-132	304	56	3	3	NUM
abr-132	304	57	):	):	PUNCT
abr-132	304	58	software	software	NOUN
abr-132	304	59	piracy	piracy	NOUN
abr-132	304	60	=	=	SYM
abr-132	304	61	b0	b0	PROPN
abr-132	304	62	+	+	CCONJ
abr-132	304	63	b1	b1	NOUN
abr-132	304	64	corruption	corruption	NOUN
abr-132	304	65	index	index	NOUN
abr-132	304	66	+	+	CCONJ
abr-132	304	67	b2	b2	NOUN
abr-132	304	68	ipp	ipp	NOUN
abr-132	304	69	competitiveness	competitiveness	NOUN
abr-132	304	70	index	index	NOUN
abr-132	304	71	+	+	CCONJ
abr-132	304	72	b3	b3	NOUN
abr-132	304	73	collectivism	collectivism	NOUN
abr-132	304	74	index	index	NOUN
abr-132	304	75	+	+	CCONJ
abr-132	304	76	b4	b4	NOUN
abr-132	304	77	median	median	ADJ
abr-132	304	78	household	household	NOUN
abr-132	304	79	income	income	NOUN
abr-132	304	80	+	+	CCONJ
abr-132	304	81	ε	ε	PROPN
abr-132	304	82	ho3	ho3	NOUN
abr-132	304	83	:	:	PUNCT
abr-132	304	84	mean	mean	VERB
abr-132	304	85	gdp	gdp	NOUN
abr-132	304	86	per	per	ADP
abr-132	304	87	capita	capita	NOUN
abr-132	304	88	and	and	CCONJ
abr-132	304	89	square	square	ADJ
abr-132	304	90	root	root	NOUN
abr-132	304	91	of	of	ADP
abr-132	304	92	median	median	ADJ
abr-132	304	93	household	household	NOUN
abr-132	304	94	income	income	NOUN
abr-132	304	95	have	have	VERB
abr-132	304	96	the	the	DET
abr-132	304	97	same	same	ADJ
abr-132	304	98	predictive	predictive	ADJ
abr-132	304	99	power	power	NOUN
abr-132	304	100	of	of	ADP
abr-132	304	101	national	national	ADJ
abr-132	304	102	software	software	NOUN
abr-132	304	103	piracy	piracy	NOUN
abr-132	304	104	rates	rate	NOUN
abr-132	304	105	(	(	PUNCT
abr-132	304	106	regression	regression	NOUN
abr-132	304	107	#	#	SYM
abr-132	304	108	1	1	NUM
abr-132	304	109	):	):	PUNCT
abr-132	304	110	software	software	NOUN
abr-132	304	111	piracy	piracy	NOUN
abr-132	304	112	=	=	SYM
abr-132	304	113	b0	b0	PROPN
abr-132	304	114	+	+	CCONJ
abr-132	304	115	b1	b1	NOUN
abr-132	304	116	corruption	corruption	NOUN
abr-132	304	117	index	index	NOUN
abr-132	304	118	+	+	CCONJ
abr-132	304	119	b2	b2	NOUN
abr-132	304	120	ipp	ipp	NOUN
abr-132	304	121	competitiveness	competitiveness	NOUN
abr-132	304	122	index	index	NOUN
abr-132	304	123	+	+	CCONJ
abr-132	304	124	b3	b3	NOUN
abr-132	304	125	collectivism	collectivism	NOUN
abr-132	304	126	index	index	NOUN
abr-132	304	127	+	+	CCONJ
abr-132	304	128	b4	b4	PROPN
abr-132	304	129	gdp	gdp	NOUN
abr-132	304	130	per	per	ADP
abr-132	304	131	capita	capita	NOUN
abr-132	304	132	+	+	CCONJ
abr-132	304	133	ε	ε	PROPN
abr-132	304	134	vs.	vs.	X
abr-132	304	135	(	(	PUNCT
abr-132	304	136	regression	regression	NOUN
abr-132	304	137	#	#	SYM
abr-132	304	138	4	4	NUM
abr-132	304	139	):	):	PUNCT
abr-132	304	140	software	software	NOUN
abr-132	304	141	piracy	piracy	NOUN
abr-132	304	142	=	=	SYM
abr-132	304	143	b0	b0	PROPN
abr-132	304	144	+	+	CCONJ
abr-132	304	145	b1	b1	NOUN
abr-132	304	146	corruption	corruption	NOUN
abr-132	304	147	index	index	NOUN
abr-132	304	148	+	+	CCONJ
abr-132	304	149	b2	b2	NOUN
abr-132	304	150	ipp	ipp	NOUN
abr-132	304	151	competitiveness	competitiveness	NOUN
abr-132	304	152	index	index	NOUN
abr-132	304	153	+	+	CCONJ
abr-132	304	154	b3	b3	NOUN
abr-132	304	155	collectivism	collectivism	NOUN
abr-132	304	156	index	index	NOUN
abr-132	304	157	+	+	CCONJ
abr-132	304	158	b4	b4	PROPN
abr-132	304	159	square	square	ADJ
abr-132	304	160	root	root	NOUN
abr-132	304	161	of	of	ADP
abr-132	304	162	median	median	ADJ
abr-132	304	163	household	household	NOUN
abr-132	304	164	income	income	NOUN
abr-132	304	165	+	+	CCONJ
abr-132	304	166	ε	ε	PROPN