id	sid	tid	token	lemma	pos
hassl-780	1	1	62	62	NUM
hassl-780	1	2	†	†	NOUN
hassl-780	1	3	corresponding	corresponding	ADJ
hassl-780	1	4	author	author	NOUN
hassl-780	1	5	©	©	PROPN
hassl-780	1	6	2016	2016	NUM
hassl-780	1	7	conscientia	conscientia	PROPN
hassl-780	1	8	beam	beam	PROPN
hassl-780	1	9	.	.	PUNCT
hassl-780	2	1	all	all	DET
hassl-780	2	2	rights	right	NOUN
hassl-780	2	3	reserved	reserve	VERB
hassl-780	2	4	female	female	ADJ
hassl-780	2	5	employment	employment	NOUN
hassl-780	2	6	and	and	CCONJ
hassl-780	2	7	fertility	fertility	NOUN
hassl-780	2	8	decisions	decision	NOUN
hassl-780	2	9	;	;	PUNCT
hassl-780	2	10	is	be	AUX
hassl-780	2	11	there	there	PRON
hassl-780	2	12	an	an	DET
hassl-780	2	13	implication	implication	NOUN
hassl-780	2	14	for	for	ADP
hassl-780	2	15	household	household	NOUN
hassl-780	2	16	consumption	consumption	NOUN
hassl-780	2	17	in	in	ADP
hassl-780	2	18	south	south	PROPN
hassl-780	2	19	-	-	PUNCT
hassl-780	2	20	west	west	PROPN
hassl-780	2	21	nigeria	nigeria	PROPN
hassl-780	2	22	?	?	PUNCT
hassl-780	3	1	adebiyi	adebiyi	NOUN
hassl-780	3	2	oyeyemi	oyeyemi	PROPN
hassl-780	3	3	omodadepo1†	omodadepo1†	NOUN
hassl-780	3	4	--olomola	--olomola	PUNCT
hassl-780	3	5	philip	philip	PROPN
hassl-780	3	6	akanni2	akanni2	PROPN
hassl-780	4	1	1department	1department	NUM
hassl-780	4	2	of	of	ADP
hassl-780	4	3	economics	economic	NOUN
hassl-780	4	4	accounting	accounting	NOUN
hassl-780	4	5	and	and	CCONJ
hassl-780	4	6	finance	finance	NOUN
hassl-780	4	7	,	,	PUNCT
hassl-780	4	8	college	college	NOUN
hassl-780	4	9	of	of	ADP
hassl-780	4	10	management	management	NOUN
hassl-780	4	11	sciences	science	NOUN
hassl-780	4	12	,	,	PUNCT
hassl-780	4	13	bells	bell	VERB
hassl-780	4	14	university	university	PROPN
hassl-780	4	15	of	of	ADP
hassl-780	4	16	technology	technology	PROPN
hassl-780	4	17	,	,	PUNCT
hassl-780	4	18	ota	ota	PROPN
hassl-780	4	19	,	,	PUNCT
hassl-780	4	20	ogun	ogun	PROPN
hassl-780	4	21	state	state	PROPN
hassl-780	4	22	,	,	PUNCT
hassl-780	4	23	nigeria	nigeria	PROPN
hassl-780	4	24	2department	2department	NUM
hassl-780	4	25	of	of	ADP
hassl-780	4	26	economics	economic	NOUN
hassl-780	4	27	,	,	PUNCT
hassl-780	4	28	faculty	faculty	NOUN
hassl-780	4	29	of	of	ADP
hassl-780	4	30	social	social	ADJ
hassl-780	4	31	sciences	science	NOUN
hassl-780	4	32	,	,	PUNCT
hassl-780	4	33	obafemi	obafemi	ADP
hassl-780	4	34	awolowo	awolowo	PROPN
hassl-780	4	35	university	university	PROPN
hassl-780	4	36	,	,	PUNCT
hassl-780	4	37	ile	ile	PROPN
hassl-780	4	38	-	-	PUNCT
hassl-780	4	39	ife	ife	PROPN
hassl-780	4	40	,	,	PUNCT
hassl-780	4	41	osun	osun	PROPN
hassl-780	4	42	state	state	PROPN
hassl-780	4	43	,	,	PUNCT
hassl-780	4	44	nigeria	nigeria	PROPN
hassl-780	4	45	abstract	abstract	ADV
hassl-780	4	46	this	this	DET
hassl-780	4	47	study	study	NOUN
hassl-780	4	48	examined	examine	VERB
hassl-780	4	49	the	the	DET
hassl-780	4	50	impact	impact	NOUN
hassl-780	4	51	of	of	ADP
hassl-780	4	52	female	female	ADJ
hassl-780	4	53	employment	employment	NOUN
hassl-780	4	54	and	and	CCONJ
hassl-780	4	55	fertility	fertility	NOUN
hassl-780	4	56	decisions	decision	NOUN
hassl-780	4	57	on	on	ADP
hassl-780	4	58	household	household	NOUN
hassl-780	4	59	consumption	consumption	NOUN
hassl-780	4	60	in	in	ADP
hassl-780	4	61	a	a	DET
hassl-780	4	62	working	work	VERB
hassl-780	4	63	life	life	NOUN
hassl-780	4	64	cycle	cycle	NOUN
hassl-780	4	65	of	of	ADP
hassl-780	4	66	south	south	NOUN
hassl-780	4	67	-	-	PUNCT
hassl-780	4	68	west	west	PROPN
hassl-780	4	69	nigeria	nigeria	PROPN
hassl-780	4	70	.	.	PUNCT
hassl-780	5	1	survey	survey	NOUN
hassl-780	5	2	method	method	NOUN
hassl-780	5	3	was	be	AUX
hassl-780	5	4	used	use	VERB
hassl-780	5	5	to	to	PART
hassl-780	5	6	collect	collect	VERB
hassl-780	5	7	data	datum	NOUN
hassl-780	5	8	and	and	CCONJ
hassl-780	5	9	multistage	multistage	NOUN
hassl-780	5	10	sampling	sampling	NOUN
hassl-780	5	11	technique	technique	NOUN
hassl-780	5	12	was	be	AUX
hassl-780	5	13	used	use	VERB
hassl-780	5	14	to	to	PART
hassl-780	5	15	select	select	VERB
hassl-780	5	16	a	a	DET
hassl-780	5	17	sample	sample	NOUN
hassl-780	5	18	of	of	ADP
hassl-780	5	19	600	600	NUM
hassl-780	5	20	households	household	NOUN
hassl-780	5	21	in	in	ADP
hassl-780	5	22	south	south	NOUN
hassl-780	5	23	-	-	PUNCT
hassl-780	5	24	west	west	PROPN
hassl-780	5	25	nigeria	nigeria	PROPN
hassl-780	5	26	.	.	PUNCT
hassl-780	6	1	514	514	NUM
hassl-780	6	2	questionnaires	questionnaire	NOUN
hassl-780	6	3	were	be	AUX
hassl-780	6	4	analysed	analyse	VERB
hassl-780	6	5	after	after	ADP
hassl-780	6	6	removing	remove	VERB
hassl-780	6	7	the	the	DET
hassl-780	6	8	incomplete	incomplete	ADJ
hassl-780	6	9	.	.	PUNCT
hassl-780	7	1	linear	linear	ADJ
hassl-780	7	2	structural	structural	ADJ
hassl-780	7	3	relations	relation	NOUN
hassl-780	7	4	models	model	NOUN
hassl-780	7	5	was	be	AUX
hassl-780	7	6	use	use	NOUN
hassl-780	7	7	to	to	PART
hassl-780	7	8	analyse	analyse	VERB
hassl-780	7	9	the	the	DET
hassl-780	7	10	data	datum	NOUN
hassl-780	7	11	.	.	PUNCT
hassl-780	8	1	the	the	DET
hassl-780	8	2	result	result	NOUN
hassl-780	8	3	showed	show	VERB
hassl-780	8	4	that	that	SCONJ
hassl-780	8	5	household	household	NOUN
hassl-780	8	6	consumption	consumption	NOUN
hassl-780	8	7	is	be	AUX
hassl-780	8	8	caused	cause	VERB
hassl-780	8	9	by	by	ADP
hassl-780	8	10	fertility	fertility	NOUN
hassl-780	8	11	decision	decision	NOUN
hassl-780	8	12	,	,	PUNCT
hassl-780	8	13	female	female	ADJ
hassl-780	8	14	employment	employment	NOUN
hassl-780	8	15	,	,	PUNCT
hassl-780	8	16	income	income	NOUN
hassl-780	8	17	and	and	CCONJ
hassl-780	8	18	female	female	ADJ
hassl-780	8	19	education	education	NOUN
hassl-780	8	20	.	.	PUNCT
hassl-780	9	1	fertility	fertility	NOUN
hassl-780	9	2	decisions	decision	NOUN
hassl-780	9	3	had	have	VERB
hassl-780	9	4	a	a	DET
hassl-780	9	5	positive	positive	ADJ
hassl-780	9	6	and	and	CCONJ
hassl-780	9	7	statistically	statistically	ADV
hassl-780	9	8	significant	significant	ADJ
hassl-780	9	9	relationship	relationship	NOUN
hassl-780	9	10	with	with	ADP
hassl-780	9	11	household	household	NOUN
hassl-780	9	12	consumption	consumption	NOUN
hassl-780	9	13	while	while	SCONJ
hassl-780	9	14	female	female	ADJ
hassl-780	9	15	employment	employment	NOUN
hassl-780	9	16	has	have	VERB
hassl-780	9	17	a	a	DET
hassl-780	9	18	negative	negative	ADJ
hassl-780	9	19	but	but	CCONJ
hassl-780	9	20	significant	significant	ADJ
hassl-780	9	21	relationship	relationship	NOUN
hassl-780	9	22	with	with	ADP
hassl-780	9	23	household	household	NOUN
hassl-780	9	24	consumption	consumption	NOUN
hassl-780	9	25	.	.	PUNCT
hassl-780	10	1	the	the	DET
hassl-780	10	2	study	study	NOUN
hassl-780	10	3	concluded	conclude	VERB
hassl-780	10	4	that	that	SCONJ
hassl-780	10	5	the	the	DET
hassl-780	10	6	presence	presence	NOUN
hassl-780	10	7	of	of	ADP
hassl-780	10	8	children	child	NOUN
hassl-780	10	9	in	in	ADP
hassl-780	10	10	households	household	NOUN
hassl-780	10	11	increases	increase	VERB
hassl-780	10	12	consumption	consumption	NOUN
hassl-780	10	13	in	in	ADP
hassl-780	10	14	a	a	DET
hassl-780	10	15	working	work	VERB
hassl-780	10	16	life	life	NOUN
hassl-780	10	17	cycle	cycle	NOUN
hassl-780	10	18	.	.	PUNCT
hassl-780	11	1	keywords	keyword	NOUN
hassl-780	11	2	:	:	PUNCT
hassl-780	11	3	household	household	NOUN
hassl-780	11	4	consumption	consumption	NOUN
hassl-780	11	5	,	,	PUNCT
hassl-780	11	6	female	female	ADJ
hassl-780	11	7	employment	employment	NOUN
hassl-780	11	8	,	,	PUNCT
hassl-780	11	9	fertility	fertility	NOUN
hassl-780	11	10	decisions	decision	NOUN
hassl-780	11	11	,	,	PUNCT
hassl-780	11	12	children	child	NOUN
hassl-780	11	13	received	receive	VERB
hassl-780	11	14	:	:	PUNCT
hassl-780	11	15	3	3	NUM
hassl-780	11	16	august	august	PROPN
hassl-780	11	17	2016/	2016/	NUM
hassl-780	11	18	revised	revise	VERB
hassl-780	11	19	:	:	PUNCT
hassl-780	11	20	27	27	NUM
hassl-780	11	21	september	september	PROPN
hassl-780	11	22	2016/	2016/	NUM
hassl-780	11	23	accepted	accept	VERB
hassl-780	11	24	:	:	PUNCT
hassl-780	11	25	4	4	NUM
hassl-780	11	26	october	october	NOUN
hassl-780	11	27	2016/	2016/	NUM
hassl-780	11	28	published	publish	VERB
hassl-780	11	29	:	:	PUNCT
hassl-780	11	30	21	21	NUM
hassl-780	11	31	october	october	NOUN
hassl-780	11	32	2016	2016	NUM
hassl-780	11	33	contribution/	contribution/	NUM
hassl-780	11	34	originality	originality	NOUN
hassl-780	11	35	this	this	DET
hassl-780	11	36	study	study	NOUN
hassl-780	11	37	contributes	contribute	VERB
hassl-780	11	38	to	to	ADP
hassl-780	11	39	the	the	DET
hassl-780	11	40	existing	exist	VERB
hassl-780	11	41	literature	literature	NOUN
hassl-780	11	42	by	by	ADP
hassl-780	11	43	examining	examine	VERB
hassl-780	11	44	the	the	DET
hassl-780	11	45	impact	impact	NOUN
hassl-780	11	46	of	of	ADP
hassl-780	11	47	fertility	fertility	NOUN
hassl-780	11	48	decisions	decision	NOUN
hassl-780	11	49	and	and	CCONJ
hassl-780	11	50	female	female	ADJ
hassl-780	11	51	employment	employment	NOUN
hassl-780	11	52	on	on	ADP
hassl-780	11	53	consumption	consumption	NOUN
hassl-780	11	54	of	of	ADP
hassl-780	11	55	households	household	NOUN
hassl-780	11	56	in	in	ADP
hassl-780	11	57	a	a	DET
hassl-780	11	58	microeconomic	microeconomic	ADJ
hassl-780	11	59	framework	framework	NOUN
hassl-780	11	60	.	.	PUNCT
hassl-780	12	1	this	this	DET
hassl-780	12	2	work	work	NOUN
hassl-780	12	3	is	be	AUX
hassl-780	12	4	rare	rare	ADJ
hassl-780	12	5	in	in	ADP
hassl-780	12	6	developing	develop	VERB
hassl-780	12	7	countries	country	NOUN
hassl-780	12	8	and	and	CCONJ
hassl-780	12	9	studies	study	NOUN
hassl-780	12	10	on	on	ADP
hassl-780	12	11	south	south	PROPN
hassl-780	12	12	-	-	PUNCT
hassl-780	12	13	west	west	PROPN
hassl-780	12	14	nigeria	nigeria	PROPN
hassl-780	12	15	is	be	AUX
hassl-780	12	16	not	not	PART
hassl-780	12	17	yet	yet	ADV
hassl-780	12	18	existing	exist	VERB
hassl-780	12	19	.	.	PUNCT
hassl-780	13	1	1	1	X
hassl-780	13	2	.	.	X
hassl-780	13	3	introduction	introduction	NOUN
hassl-780	13	4	there	there	PRON
hassl-780	13	5	is	be	VERB
hassl-780	13	6	a	a	DET
hassl-780	13	7	widespread	widespread	ADJ
hassl-780	13	8	agreement	agreement	NOUN
hassl-780	13	9	in	in	ADP
hassl-780	13	10	the	the	DET
hassl-780	13	11	literature	literature	NOUN
hassl-780	13	12	that	that	PRON
hassl-780	13	13	household	household	NOUN
hassl-780	13	14	consumption	consumption	NOUN
hassl-780	13	15	over	over	ADP
hassl-780	13	16	a	a	DET
hassl-780	13	17	working	work	VERB
hassl-780	13	18	life	life	NOUN
hassl-780	13	19	-	-	PUNCT
hassl-780	13	20	cycle	cycle	NOUN
hassl-780	13	21	displays	display	VERB
hassl-780	13	22	an	an	DET
hassl-780	13	23	inverted	inverted	ADJ
hassl-780	13	24	u	u	NOUN
hassl-780	13	25	-	-	NOUN
hassl-780	13	26	shape	shape	NOUN
hassl-780	13	27	(	(	PUNCT
hassl-780	13	28	browning	browning	NOUN
hassl-780	13	29	and	and	CCONJ
hassl-780	13	30	ejrnaes	ejrnaes	NOUN
hassl-780	13	31	,	,	PUNCT
hassl-780	13	32	2002	2002	NUM
hassl-780	13	33	)	)	PUNCT
hassl-780	13	34	.	.	PUNCT
hassl-780	14	1	life	life	NOUN
hassl-780	14	2	cycle	cycle	NOUN
hassl-780	14	3	hypothesis	hypothesis	NOUN
hassl-780	14	4	can	can	AUX
hassl-780	14	5	be	be	AUX
hassl-780	14	6	grouped	group	VERB
hassl-780	14	7	into	into	ADP
hassl-780	14	8	four	four	NUM
hassl-780	14	9	periods	period	NOUN
hassl-780	14	10	;	;	PUNCT
hassl-780	14	11	allocation	allocation	NOUN
hassl-780	14	12	between	between	ADP
hassl-780	14	13	the	the	DET
hassl-780	14	14	periods	period	NOUN
hassl-780	14	15	of	of	ADP
hassl-780	14	16	human	human	ADJ
hassl-780	14	17	capital	capital	NOUN
hassl-780	14	18	formation	formation	NOUN
hassl-780	14	19	and	and	CCONJ
hassl-780	14	20	late	late	ADJ
hassl-780	14	21	,	,	PUNCT
hassl-780	14	22	allocation	allocation	NOUN
hassl-780	14	23	within	within	ADP
hassl-780	14	24	the	the	DET
hassl-780	14	25	work	work	NOUN
hassl-780	14	26	life	life	NOUN
hassl-780	14	27	,	,	PUNCT
hassl-780	14	28	allocation	allocation	NOUN
hassl-780	14	29	between	between	ADP
hassl-780	14	30	pre	pre	NOUN
hassl-780	14	31	-	-	NOUN
hassl-780	14	32	retirement	retirement	ADJ
hassl-780	14	33	and	and	CCONJ
hassl-780	14	34	retirement	retirement	NOUN
hassl-780	14	35	period	period	NOUN
hassl-780	14	36	and	and	CCONJ
hassl-780	14	37	planning	planning	NOUN
hassl-780	14	38	for	for	ADP
hassl-780	14	39	bequest	bequest	NOUN
hassl-780	14	40	.	.	PUNCT
hassl-780	15	1	household	household	NOUN
hassl-780	15	2	consumption	consumption	NOUN
hassl-780	15	3	is	be	AUX
hassl-780	15	4	said	say	VERB
hassl-780	15	5	to	to	PART
hassl-780	15	6	exhibit	exhibit	VERB
hassl-780	15	7	an	an	DET
hassl-780	15	8	inverted	inverted	ADJ
hassl-780	15	9	u	u	NOUN
hassl-780	15	10	-	-	NOUN
hassl-780	15	11	shape	shape	NOUN
hassl-780	15	12	during	during	ADP
hassl-780	15	13	the	the	DET
hassl-780	15	14	working	work	VERB
hassl-780	15	15	period	period	NOUN
hassl-780	15	16	(	(	PUNCT
hassl-780	15	17	second	second	ADJ
hassl-780	15	18	period	period	NOUN
hassl-780	15	19	)	)	PUNCT
hassl-780	15	20	.	.	PUNCT
hassl-780	16	1	some	some	DET
hassl-780	16	2	studies	study	NOUN
hassl-780	16	3	have	have	AUX
hassl-780	16	4	tried	try	VERB
hassl-780	16	5	to	to	PART
hassl-780	16	6	explain	explain	VERB
hassl-780	16	7	the	the	DET
hassl-780	16	8	reason	reason	NOUN
hassl-780	16	9	for	for	ADP
hassl-780	16	10	this	this	PRON
hassl-780	16	11	;	;	PUNCT
hassl-780	16	12	deaton	deaton	PROPN
hassl-780	16	13	(	(	PUNCT
hassl-780	16	14	1991	1991	NUM
hassl-780	16	15	)	)	PUNCT
hassl-780	16	16	and	and	CCONJ
hassl-780	16	17	nagatani	nagatani	PROPN
hassl-780	16	18	(	(	PUNCT
hassl-780	16	19	1972	1972	NUM
hassl-780	16	20	)	)	PUNCT
hassl-780	16	21	showed	show	VERB
hassl-780	16	22	that	that	SCONJ
hassl-780	16	23	instead	instead	ADV
hassl-780	16	24	of	of	ADP
hassl-780	16	25	being	be	AUX
hassl-780	16	26	liquidity	liquidity	NOUN
hassl-780	16	27	-	-	PUNCT
hassl-780	16	28	constrained	constrain	VERB
hassl-780	16	29	,	,	PUNCT
hassl-780	16	30	households	household	NOUN
hassl-780	16	31	are	be	AUX
hassl-780	16	32	"	"	PUNCT
hassl-780	16	33	prudent	prudent	ADJ
hassl-780	16	34	.	.	PUNCT
hassl-780	16	35	"	"	PUNCT
hassl-780	17	1	prudence	prudence	NOUN
hassl-780	17	2	leads	lead	VERB
hassl-780	17	3	households	household	NOUN
hassl-780	17	4	to	to	PART
hassl-780	17	5	treat	treat	VERB
hassl-780	17	6	future	future	ADJ
hassl-780	17	7	uncertain	uncertain	ADJ
hassl-780	17	8	income	income	NOUN
hassl-780	17	9	cautiously	cautiously	ADV
hassl-780	17	10	and	and	CCONJ
hassl-780	17	11	not	not	PART
hassl-780	17	12	to	to	PART
hassl-780	17	13	spend	spend	VERB
hassl-780	17	14	as	as	ADV
hassl-780	17	15	much	much	ADJ
hassl-780	17	16	currently	currently	ADV
hassl-780	17	17	as	as	SCONJ
hassl-780	17	18	they	they	PRON
hassl-780	17	19	would	would	AUX
hassl-780	17	20	if	if	SCONJ
hassl-780	17	21	future	future	ADJ
hassl-780	17	22	income	income	NOUN
hassl-780	17	23	were	be	AUX
hassl-780	17	24	certain	certain	ADJ
hassl-780	17	25	(	(	PUNCT
hassl-780	17	26	that	that	PRON
hassl-780	17	27	is	is	ADV
hassl-780	17	28	,	,	PUNCT
hassl-780	17	29	if	if	SCONJ
hassl-780	17	30	future	future	ADJ
hassl-780	17	31	income	income	NOUN
hassl-780	17	32	is	be	AUX
hassl-780	17	33	sure	sure	ADJ
hassl-780	17	34	to	to	PART
hassl-780	17	35	have	have	VERB
hassl-780	17	36	a	a	DET
hassl-780	17	37	value	value	NOUN
hassl-780	17	38	equal	equal	ADJ
hassl-780	17	39	to	to	ADP
hassl-780	17	40	its	its	PRON
hassl-780	17	41	mathematical	mathematical	ADJ
hassl-780	17	42	mean	mean	NOUN
hassl-780	17	43	)	)	PUNCT
hassl-780	17	44	.	.	PUNCT
hassl-780	18	1	thus	thus	ADV
hassl-780	18	2	,	,	PUNCT
hassl-780	18	3	prudence	prudence	NOUN
hassl-780	18	4	is	be	AUX
hassl-780	18	5	the	the	DET
hassl-780	18	6	precautionary	precautionary	ADJ
hassl-780	18	7	motive	motive	NOUN
hassl-780	18	8	for	for	ADP
hassl-780	18	9	saving	save	VERB
hassl-780	18	10	.	.	PUNCT
hassl-780	19	1	both	both	CCONJ
hassl-780	19	2	the	the	DET
hassl-780	19	3	liquidity	liquidity	NOUN
hassl-780	19	4	constraint	constraint	NOUN
hassl-780	19	5	and	and	CCONJ
hassl-780	19	6	prudence	prudence	NOUN
hassl-780	19	7	explanations	explanation	NOUN
hassl-780	19	8	offer	offer	VERB
hassl-780	19	9	a	a	DET
hassl-780	19	10	reason	reason	NOUN
hassl-780	19	11	for	for	SCONJ
hassl-780	19	12	consumption	consumption	NOUN
hassl-780	19	13	to	to	PART
hassl-780	19	14	track	track	VERB
hassl-780	19	15	income	income	NOUN
hassl-780	19	16	in	in	ADP
hassl-780	19	17	early	early	ADJ
hassl-780	19	18	life	life	NOUN
hassl-780	19	19	,	,	PUNCT
hassl-780	19	20	and	and	CCONJ
hassl-780	19	21	induce	induce	VERB
hassl-780	19	22	a	a	DET
hassl-780	19	23	high	high	ADJ
hassl-780	19	24	correlation	correlation	NOUN
hassl-780	19	25	between	between	ADP
hassl-780	19	26	consumption	consumption	NOUN
hassl-780	19	27	and	and	CCONJ
hassl-780	19	28	income	income	NOUN
hassl-780	19	29	over	over	ADP
hassl-780	19	30	simple	simple	ADJ
hassl-780	19	31	simulated	simulate	VERB
hassl-780	19	32	life	life	NOUN
hassl-780	19	33	-	-	PUNCT
hassl-780	19	34	cycle	cycle	NOUN
hassl-780	19	35	.	.	PUNCT
hassl-780	20	1	furthermore	furthermore	ADV
hassl-780	20	2	,	,	PUNCT
hassl-780	20	3	another	another	DET
hassl-780	20	4	explanation	explanation	NOUN
hassl-780	20	5	for	for	ADP
hassl-780	20	6	this	this	PRON
hassl-780	20	7	is	be	AUX
hassl-780	20	8	incorporating	incorporate	VERB
hassl-780	20	9	demography	demography	NOUN
hassl-780	20	10	into	into	ADP
hassl-780	20	11	microeconomic	microeconomic	ADJ
hassl-780	20	12	estimation	estimation	NOUN
hassl-780	20	13	of	of	ADP
hassl-780	20	14	inter	inter	ADJ
hassl-780	20	15	-	-	ADJ
hassl-780	20	16	temporal	temporal	ADJ
hassl-780	20	17	consumption	consumption	NOUN
hassl-780	20	18	over	over	ADP
hassl-780	20	19	a	a	DET
hassl-780	20	20	life	life	NOUN
hassl-780	20	21	-	-	PUNCT
hassl-780	20	22	cycle	cycle	NOUN
hassl-780	20	23	.	.	PUNCT
hassl-780	21	1	it	it	PRON
hassl-780	21	2	has	have	AUX
hassl-780	21	3	been	be	AUX
hassl-780	21	4	argued	argue	VERB
hassl-780	21	5	that	that	SCONJ
hassl-780	21	6	without	without	ADP
hassl-780	21	7	any	any	DET
hassl-780	21	8	liquidity	liquidity	NOUN
hassl-780	21	9	constraint	constraint	NOUN
hassl-780	21	10	,	,	PUNCT
hassl-780	21	11	the	the	DET
hassl-780	21	12	presence	presence	NOUN
hassl-780	21	13	humanities	humanity	NOUN
hassl-780	21	14	and	and	CCONJ
hassl-780	21	15	social	social	ADJ
hassl-780	21	16	sciences	science	NOUN
hassl-780	21	17	letters	letter	NOUN
hassl-780	21	18	2016	2016	NUM
hassl-780	21	19	vol	vol	NOUN
hassl-780	21	20	.	.	PROPN
hassl-780	21	21	4	4	NUM
hassl-780	21	22	,	,	PUNCT
hassl-780	21	23	no	no	INTJ
hassl-780	21	24	.	.	NOUN
hassl-780	21	25	3	3	NUM
hassl-780	21	26	,	,	PUNCT
hassl-780	21	27	pp	pp	ADJ
hassl-780	21	28	.	.	PUNCT
hassl-780	22	1	62	62	NUM
hassl-780	22	2	-	-	SYM
hassl-780	22	3	68	68	NUM
hassl-780	22	4	issn(e	issn(e	NOUN
hassl-780	22	5	):	):	PUNCT
hassl-780	22	6	2312	2312	NUM
hassl-780	22	7	-	-	SYM
hassl-780	22	8	4318	4318	NUM
hassl-780	22	9	issn(p	issn(p	NUM
hassl-780	22	10	):	):	PUNCT
hassl-780	22	11	2312	2312	NUM
hassl-780	22	12	-	-	SYM
hassl-780	22	13	5659	5659	NUM
hassl-780	22	14	doi	doi	NOUN
hassl-780	22	15	:	:	PUNCT
hassl-780	22	16	10.18488	10.18488	NUM
hassl-780	22	17	/	/	SYM
hassl-780	22	18	journal.73/2016.4.3/73.3.62.68	journal.73/2016.4.3/73.3.62.68	PROPN
hassl-780	22	19	©	©	PROPN
hassl-780	22	20	2016	2016	NUM
hassl-780	22	21	conscientia	conscientia	PROPN
hassl-780	22	22	beam	beam	PROPN
hassl-780	22	23	.	.	PUNCT
hassl-780	23	1	all	all	DET
hassl-780	23	2	rights	right	NOUN
hassl-780	23	3	reserved	reserve	VERB
hassl-780	23	4	http://crossmark.crossref.org/dialog/?doi=10.18488/journal.73/2016.4.3/73.3.62.68	http://crossmark.crossref.org/dialog/?doi=10.18488/journal.73/2016.4.3/73.3.62.68	NOUN
hassl-780	23	5	humanities	humanity	NOUN
hassl-780	23	6	and	and	CCONJ
hassl-780	23	7	social	social	ADJ
hassl-780	23	8	sciences	science	NOUN
hassl-780	23	9	letters	letter	NOUN
hassl-780	23	10	,	,	PUNCT
hassl-780	23	11	2016	2016	NUM
hassl-780	23	12	,	,	PUNCT
hassl-780	23	13	4(3	4(3	NUM
hassl-780	23	14	):	):	PUNCT
hassl-780	23	15	62	62	NUM
hassl-780	23	16	-	-	SYM
hassl-780	23	17	68	68	NUM
hassl-780	23	18	63	63	NUM
hassl-780	23	19	©	©	PROPN
hassl-780	23	20	2016	2016	NUM
hassl-780	23	21	conscientia	conscientia	PROPN
hassl-780	23	22	beam	beam	PROPN
hassl-780	23	23	.	.	PUNCT
hassl-780	24	1	all	all	DET
hassl-780	24	2	rights	right	NOUN
hassl-780	24	3	reserved	reserve	VERB
hassl-780	24	4	of	of	ADP
hassl-780	24	5	children	child	NOUN
hassl-780	24	6	in	in	ADP
hassl-780	24	7	household	household	NOUN
hassl-780	24	8	increases	increase	VERB
hassl-780	24	9	consumption	consumption	NOUN
hassl-780	24	10	in	in	ADP
hassl-780	24	11	relation	relation	NOUN
hassl-780	24	12	to	to	ADP
hassl-780	24	13	income	income	VERB
hassl-780	24	14	(	(	PUNCT
hassl-780	24	15	blundell	blundell	PROPN
hassl-780	24	16	et	et	PROPN
hassl-780	24	17	al	al	PROPN
hassl-780	24	18	.	.	PROPN
hassl-780	24	19	,	,	PUNCT
hassl-780	24	20	1994	1994	NUM
hassl-780	24	21	)	)	PUNCT
hassl-780	24	22	.	.	PUNCT
hassl-780	25	1	this	this	DET
hassl-780	25	2	period	period	NOUN
hassl-780	25	3	is	be	AUX
hassl-780	25	4	assumed	assume	VERB
hassl-780	25	5	to	to	PART
hassl-780	25	6	be	be	AUX
hassl-780	25	7	a	a	DET
hassl-780	25	8	period	period	NOUN
hassl-780	25	9	in	in	ADP
hassl-780	25	10	which	which	PRON
hassl-780	25	11	consumption	consumption	NOUN
hassl-780	25	12	exceeds	exceed	VERB
hassl-780	25	13	household	household	NOUN
hassl-780	25	14	income	income	NOUN
hassl-780	25	15	and	and	CCONJ
hassl-780	25	16	households	household	NOUN
hassl-780	25	17	either	either	CCONJ
hassl-780	25	18	draw	draw	VERB
hassl-780	25	19	on	on	ADP
hassl-780	25	20	their	their	PRON
hassl-780	25	21	past	past	ADJ
hassl-780	25	22	savings	saving	NOUN
hassl-780	25	23	or	or	CCONJ
hassl-780	25	24	borrow	borrow	VERB
hassl-780	25	25	.	.	PUNCT
hassl-780	26	1	if	if	SCONJ
hassl-780	26	2	households	household	NOUN
hassl-780	26	3	wants	want	VERB
hassl-780	26	4	to	to	PART
hassl-780	26	5	smooth	smooth	VERB
hassl-780	26	6	their	their	PRON
hassl-780	26	7	marginal	marginal	ADJ
hassl-780	26	8	utility	utility	NOUN
hassl-780	26	9	of	of	ADP
hassl-780	26	10	their	their	PRON
hassl-780	26	11	consumption	consumption	NOUN
hassl-780	26	12	and	and	CCONJ
hassl-780	26	13	reduce	reduce	VERB
hassl-780	26	14	the	the	DET
hassl-780	26	15	amount	amount	NOUN
hassl-780	26	16	that	that	PRON
hassl-780	26	17	they	they	PRON
hassl-780	26	18	would	would	AUX
hassl-780	26	19	borrow	borrow	VERB
hassl-780	26	20	;	;	PUNCT
hassl-780	26	21	they	they	PRON
hassl-780	26	22	would	would	AUX
hassl-780	26	23	postpone	postpone	VERB
hassl-780	26	24	the	the	DET
hassl-780	26	25	birth	birth	NOUN
hassl-780	26	26	of	of	ADP
hassl-780	26	27	children	child	NOUN
hassl-780	26	28	in	in	ADP
hassl-780	26	29	order	order	NOUN
hassl-780	26	30	to	to	PART
hassl-780	26	31	accumulate	accumulate	VERB
hassl-780	26	32	enough	enough	ADJ
hassl-780	26	33	savings	saving	NOUN
hassl-780	26	34	that	that	PRON
hassl-780	26	35	can	can	AUX
hassl-780	26	36	deal	deal	VERB
hassl-780	26	37	with	with	ADP
hassl-780	26	38	the	the	DET
hassl-780	26	39	financial	financial	ADJ
hassl-780	26	40	cost	cost	NOUN
hassl-780	26	41	of	of	ADP
hassl-780	26	42	having	have	VERB
hassl-780	26	43	children	child	NOUN
hassl-780	26	44	(	(	PUNCT
hassl-780	26	45	kalwij	kalwij	NOUN
hassl-780	26	46	,	,	PUNCT
hassl-780	26	47	1998	1998	NUM
hassl-780	26	48	)	)	PUNCT
hassl-780	26	49	.	.	PUNCT
hassl-780	27	1	household	household	NOUN
hassl-780	27	2	also	also	ADV
hassl-780	27	3	derives	derive	VERB
hassl-780	27	4	utility	utility	NOUN
hassl-780	27	5	in	in	ADP
hassl-780	27	6	the	the	DET
hassl-780	27	7	number	number	NOUN
hassl-780	27	8	of	of	ADP
hassl-780	27	9	children	child	NOUN
hassl-780	27	10	and	and	CCONJ
hassl-780	27	11	their	their	PRON
hassl-780	27	12	quality	quality	NOUN
hassl-780	27	13	(	(	PUNCT
hassl-780	27	14	adda	adda	PROPN
hassl-780	27	15	et	et	PROPN
hassl-780	27	16	al	al	PROPN
hassl-780	27	17	.	.	PROPN
hassl-780	27	18	,	,	PUNCT
hassl-780	27	19	1991	1991	NUM
hassl-780	27	20	)	)	PUNCT
hassl-780	27	21	.	.	PUNCT
hassl-780	28	1	the	the	DET
hassl-780	28	2	number	number	NOUN
hassl-780	28	3	of	of	ADP
hassl-780	28	4	children	child	NOUN
hassl-780	28	5	each	each	DET
hassl-780	28	6	household	household	NOUN
hassl-780	28	7	would	would	AUX
hassl-780	28	8	be	be	AUX
hassl-780	28	9	willing	willing	ADJ
hassl-780	28	10	to	to	PART
hassl-780	28	11	have	have	VERB
hassl-780	28	12	is	be	AUX
hassl-780	28	13	subject	subject	ADJ
hassl-780	28	14	to	to	ADP
hassl-780	28	15	some	some	DET
hassl-780	28	16	constraint	constraint	NOUN
hassl-780	28	17	like	like	ADP
hassl-780	28	18	income	income	NOUN
hassl-780	28	19	,	,	PUNCT
hassl-780	28	20	consumption	consumption	NOUN
hassl-780	28	21	preference	preference	NOUN
hassl-780	28	22	,	,	PUNCT
hassl-780	28	23	etc	etc	X
hassl-780	28	24	.	.	X
hassl-780	29	1	some	some	DET
hassl-780	29	2	studies	study	NOUN
hassl-780	29	3	have	have	AUX
hassl-780	29	4	identified	identify	VERB
hassl-780	29	5	increase	increase	NOUN
hassl-780	29	6	in	in	ADP
hassl-780	29	7	household	household	NOUN
hassl-780	29	8	consumption	consumption	NOUN
hassl-780	29	9	especially	especially	ADV
hassl-780	29	10	for	for	ADP
hassl-780	29	11	new	new	ADJ
hassl-780	29	12	born	bear	VERB
hassl-780	29	13	.	.	PUNCT
hassl-780	30	1	since	since	SCONJ
hassl-780	30	2	children	child	NOUN
hassl-780	30	3	care	care	NOUN
hassl-780	30	4	is	be	AUX
hassl-780	30	5	assumed	assume	VERB
hassl-780	30	6	to	to	PART
hassl-780	30	7	be	be	AUX
hassl-780	30	8	the	the	DET
hassl-780	30	9	primary	primary	ADJ
hassl-780	30	10	responsibility	responsibility	NOUN
hassl-780	30	11	of	of	ADP
hassl-780	30	12	a	a	DET
hassl-780	30	13	woman	woman	NOUN
hassl-780	30	14	(	(	PUNCT
hassl-780	30	15	adieri	adieri	PROPN
hassl-780	30	16	and	and	CCONJ
hassl-780	30	17	vinci	vinci	PROPN
hassl-780	30	18	,	,	PUNCT
hassl-780	30	19	2012	2012	NUM
hassl-780	30	20	)	)	PUNCT
hassl-780	30	21	.	.	PUNCT
hassl-780	31	1	in	in	ADP
hassl-780	31	2	nigeria	nigeria	PROPN
hassl-780	31	3	,	,	PUNCT
hassl-780	31	4	the	the	DET
hassl-780	31	5	culture	culture	NOUN
hassl-780	31	6	and	and	CCONJ
hassl-780	31	7	norms	norm	NOUN
hassl-780	31	8	of	of	ADP
hassl-780	31	9	the	the	DET
hassl-780	31	10	people	people	NOUN
hassl-780	31	11	also	also	ADV
hassl-780	31	12	supports	support	VERB
hassl-780	31	13	these	these	DET
hassl-780	31	14	assertion	assertion	NOUN
hassl-780	31	15	;	;	PUNCT
hassl-780	31	16	women	woman	NOUN
hassl-780	31	17	are	be	AUX
hassl-780	31	18	saddled	saddle	VERB
hassl-780	31	19	with	with	ADP
hassl-780	31	20	the	the	DET
hassl-780	31	21	responsibility	responsibility	NOUN
hassl-780	31	22	of	of	ADP
hassl-780	31	23	taking	take	VERB
hassl-780	31	24	care	care	NOUN
hassl-780	31	25	of	of	ADP
hassl-780	31	26	children	child	NOUN
hassl-780	31	27	and	and	CCONJ
hassl-780	31	28	taking	take	VERB
hassl-780	31	29	most	most	ADJ
hassl-780	31	30	household	household	NOUN
hassl-780	31	31	’s	’s	PART
hassl-780	31	32	consumption	consumption	NOUN
hassl-780	31	33	decisions	decision	NOUN
hassl-780	31	34	.	.	PUNCT
hassl-780	32	1	this	this	DET
hassl-780	32	2	study	study	NOUN
hassl-780	32	3	envisages	envisage	VERB
hassl-780	32	4	that	that	SCONJ
hassl-780	32	5	consumption	consumption	NOUN
hassl-780	32	6	decision	decision	NOUN
hassl-780	32	7	is	be	AUX
hassl-780	32	8	also	also	ADV
hassl-780	32	9	dependent	dependent	ADJ
hassl-780	32	10	on	on	ADP
hassl-780	32	11	household	household	NOUN
hassl-780	32	12	income	income	NOUN
hassl-780	32	13	;	;	PUNCT
hassl-780	32	14	therefore	therefore	ADV
hassl-780	32	15	,	,	PUNCT
hassl-780	32	16	household	household	NOUN
hassl-780	32	17	income	income	NOUN
hassl-780	32	18	will	will	AUX
hassl-780	32	19	play	play	VERB
hassl-780	32	20	a	a	DET
hassl-780	32	21	crucial	crucial	ADJ
hassl-780	32	22	role	role	NOUN
hassl-780	32	23	in	in	ADP
hassl-780	32	24	both	both	PRON
hassl-780	32	25	female	female	ADJ
hassl-780	32	26	employment	employment	NOUN
hassl-780	32	27	and	and	CCONJ
hassl-780	32	28	fertility	fertility	NOUN
hassl-780	32	29	decisions	decision	NOUN
hassl-780	32	30	.	.	PUNCT
hassl-780	33	1	if	if	SCONJ
hassl-780	33	2	household	household	NOUN
hassl-780	33	3	consumption	consumption	NOUN
hassl-780	33	4	increases	increase	VERB
hassl-780	33	5	in	in	ADP
hassl-780	33	6	relation	relation	NOUN
hassl-780	33	7	to	to	PART
hassl-780	33	8	income	income	VERB
hassl-780	33	9	due	due	ADP
hassl-780	33	10	to	to	ADP
hassl-780	33	11	the	the	DET
hassl-780	33	12	presence	presence	NOUN
hassl-780	33	13	of	of	ADP
hassl-780	33	14	children	child	NOUN
hassl-780	33	15	,	,	PUNCT
hassl-780	33	16	it	it	PRON
hassl-780	33	17	can	can	AUX
hassl-780	33	18	induce	induce	VERB
hassl-780	33	19	female	female	ADJ
hassl-780	33	20	employment	employment	NOUN
hassl-780	33	21	(	(	PUNCT
hassl-780	33	22	if	if	SCONJ
hassl-780	33	23	voluntarily	voluntarily	ADV
hassl-780	33	24	unemployed	unemployed	ADJ
hassl-780	33	25	)	)	PUNCT
hassl-780	33	26	or	or	CCONJ
hassl-780	33	27	make	make	VERB
hassl-780	33	28	a	a	DET
hassl-780	33	29	woman	woman	NOUN
hassl-780	33	30	aspire	aspire	VERB
hassl-780	33	31	a	a	DET
hassl-780	33	32	better	well	ADV
hassl-780	33	33	paid	pay	VERB
hassl-780	33	34	job	job	NOUN
hassl-780	33	35	.	.	PUNCT
hassl-780	34	1	this	this	DET
hassl-780	34	2	action	action	NOUN
hassl-780	34	3	will	will	AUX
hassl-780	34	4	lead	lead	VERB
hassl-780	34	5	to	to	PART
hassl-780	34	6	increase	increase	VERB
hassl-780	34	7	in	in	ADP
hassl-780	34	8	the	the	DET
hassl-780	34	9	financial	financial	ADJ
hassl-780	34	10	wealth	wealth	NOUN
hassl-780	34	11	of	of	ADP
hassl-780	34	12	the	the	DET
hassl-780	34	13	household	household	NOUN
hassl-780	34	14	but	but	CCONJ
hassl-780	34	15	increase	increase	VERB
hassl-780	34	16	the	the	DET
hassl-780	34	17	number	number	NOUN
hassl-780	34	18	of	of	ADP
hassl-780	34	19	working	work	VERB
hassl-780	34	20	hours	hour	NOUN
hassl-780	34	21	per	per	ADP
hassl-780	34	22	day	day	NOUN
hassl-780	34	23	,	,	PUNCT
hassl-780	34	24	reduce	reduce	VERB
hassl-780	34	25	the	the	DET
hassl-780	34	26	number	number	NOUN
hassl-780	34	27	of	of	ADP
hassl-780	34	28	hours	hour	NOUN
hassl-780	34	29	for	for	ADP
hassl-780	34	30	domestic	domestic	ADJ
hassl-780	34	31	services	service	NOUN
hassl-780	34	32	and	and	CCONJ
hassl-780	34	33	increase	increase	NOUN
hassl-780	34	34	(	(	PUNCT
hassl-780	34	35	the	the	DET
hassl-780	34	36	desire	desire	NOUN
hassl-780	34	37	for	for	ADP
hassl-780	34	38	)	)	PUNCT
hassl-780	34	39	improved	improve	VERB
hassl-780	34	40	human	human	ADJ
hassl-780	34	41	capital	capital	NOUN
hassl-780	34	42	through	through	ADP
hassl-780	34	43	better	well	ADJ
hassl-780	34	44	education	education	NOUN
hassl-780	34	45	,	,	PUNCT
hassl-780	34	46	years	year	NOUN
hassl-780	34	47	of	of	ADP
hassl-780	34	48	experience	experience	NOUN
hassl-780	34	49	,	,	PUNCT
hassl-780	34	50	attendance	attendance	NOUN
hassl-780	34	51	of	of	ADP
hassl-780	34	52	workshop	workshop	NOUN
hassl-780	34	53	and	and	CCONJ
hassl-780	34	54	seminars	seminar	NOUN
hassl-780	34	55	,	,	PUNCT
hassl-780	34	56	skill	skill	NOUN
hassl-780	34	57	acquisition	acquisition	NOUN
hassl-780	34	58	etc	etc	X
hassl-780	34	59	.	.	X
hassl-780	35	1	consequently	consequently	ADV
hassl-780	35	2	,	,	PUNCT
hassl-780	35	3	this	this	PRON
hassl-780	35	4	may	may	AUX
hassl-780	35	5	affect	affect	VERB
hassl-780	35	6	the	the	DET
hassl-780	35	7	female	female	ADJ
hassl-780	35	8	fertility	fertility	NOUN
hassl-780	35	9	decision	decision	NOUN
hassl-780	35	10	positively	positively	ADV
hassl-780	35	11	through	through	ADP
hassl-780	35	12	higher	high	ADJ
hassl-780	35	13	household	household	NOUN
hassl-780	35	14	financial	financial	ADJ
hassl-780	35	15	wealth	wealth	NOUN
hassl-780	35	16	,	,	PUNCT
hassl-780	35	17	ability	ability	NOUN
hassl-780	35	18	to	to	PART
hassl-780	35	19	employ	employ	VERB
hassl-780	35	20	the	the	DET
hassl-780	35	21	services	service	NOUN
hassl-780	35	22	of	of	ADP
hassl-780	35	23	baby	baby	NOUN
hassl-780	35	24	sitters	sitter	NOUN
hassl-780	35	25	,	,	PUNCT
hassl-780	35	26	nannies	nanny	NOUN
hassl-780	35	27	or	or	CCONJ
hassl-780	35	28	day	day	NOUN
hassl-780	35	29	care	care	NOUN
hassl-780	35	30	etc	etc	X
hassl-780	35	31	.	.	X
hassl-780	35	32	or	or	CCONJ
hassl-780	35	33	negatively	negatively	ADV
hassl-780	35	34	through	through	ADP
hassl-780	35	35	pressure	pressure	NOUN
hassl-780	35	36	on	on	ADP
hassl-780	35	37	the	the	DET
hassl-780	35	38	time	time	NOUN
hassl-780	35	39	of	of	ADP
hassl-780	35	40	the	the	DET
hassl-780	35	41	woman	woman	NOUN
hassl-780	35	42	since	since	SCONJ
hassl-780	35	43	she	she	PRON
hassl-780	35	44	is	be	AUX
hassl-780	35	45	responsible	responsible	ADJ
hassl-780	35	46	for	for	ADP
hassl-780	35	47	the	the	DET
hassl-780	35	48	raising	raising	NOUN
hassl-780	35	49	of	of	ADP
hassl-780	35	50	the	the	DET
hassl-780	35	51	children	child	NOUN
hassl-780	35	52	.	.	PUNCT
hassl-780	36	1	also	also	ADV
hassl-780	36	2	,	,	PUNCT
hassl-780	36	3	increased	increase	VERB
hassl-780	36	4	household	household	NOUN
hassl-780	36	5	consumption	consumption	NOUN
hassl-780	36	6	can	can	AUX
hassl-780	36	7	make	make	VERB
hassl-780	36	8	a	a	DET
hassl-780	36	9	woman	woman	NOUN
hassl-780	36	10	to	to	PART
hassl-780	36	11	increase	increase	VERB
hassl-780	36	12	birth	birth	NOUN
hassl-780	36	13	(	(	PUNCT
hassl-780	36	14	especially	especially	ADV
hassl-780	36	15	in	in	ADP
hassl-780	36	16	agrarian	agrarian	ADJ
hassl-780	36	17	societies	society	NOUN
hassl-780	36	18	and	and	CCONJ
hassl-780	36	19	societies	society	NOUN
hassl-780	36	20	where	where	SCONJ
hassl-780	36	21	child	child	NOUN
hassl-780	36	22	labour	labour	NOUN
hassl-780	36	23	are	be	AUX
hassl-780	36	24	predominant	predominant	ADJ
hassl-780	36	25	or	or	CCONJ
hassl-780	36	26	societies	society	NOUN
hassl-780	36	27	where	where	SCONJ
hassl-780	36	28	there	there	PRON
hassl-780	36	29	are	be	VERB
hassl-780	36	30	subsidies	subsidy	NOUN
hassl-780	36	31	from	from	ADP
hassl-780	36	32	the	the	DET
hassl-780	36	33	government	government	NOUN
hassl-780	36	34	for	for	ADP
hassl-780	36	35	having	have	VERB
hassl-780	36	36	some	some	DET
hassl-780	36	37	specific	specific	ADJ
hassl-780	36	38	number	number	NOUN
hassl-780	36	39	of	of	ADP
hassl-780	36	40	children	child	NOUN
hassl-780	36	41	)	)	PUNCT
hassl-780	36	42	or	or	CCONJ
hassl-780	36	43	delay	delay	VERB
hassl-780	36	44	birth	birth	NOUN
hassl-780	36	45	(	(	PUNCT
hassl-780	36	46	because	because	SCONJ
hassl-780	36	47	of	of	ADP
hassl-780	36	48	financial	financial	ADJ
hassl-780	36	49	constraint	constraint	NOUN
hassl-780	36	50	)	)	PUNCT
hassl-780	36	51	.	.	PUNCT
hassl-780	37	1	this	this	PRON
hassl-780	37	2	in	in	ADP
hassl-780	37	3	turn	turn	NOUN
hassl-780	37	4	will	will	AUX
hassl-780	37	5	lead	lead	VERB
hassl-780	37	6	to	to	ADP
hassl-780	37	7	female	female	ADJ
hassl-780	37	8	employment	employment	NOUN
hassl-780	37	9	or	or	CCONJ
hassl-780	37	10	quest	quest	NOUN
hassl-780	37	11	for	for	ADP
hassl-780	37	12	a	a	DET
hassl-780	37	13	better	well	ADJ
hassl-780	37	14	paid	pay	VERB
hassl-780	37	15	job	job	NOUN
hassl-780	37	16	.	.	PUNCT
hassl-780	38	1	the	the	DET
hassl-780	38	2	study	study	NOUN
hassl-780	38	3	therefore	therefore	ADV
hassl-780	38	4	assumed	assume	VERB
hassl-780	38	5	simultaneity	simultaneity	NOUN
hassl-780	38	6	in	in	ADP
hassl-780	38	7	decision	decision	NOUN
hassl-780	38	8	making	make	VERB
hassl-780	38	9	among	among	ADP
hassl-780	38	10	household	household	NOUN
hassl-780	38	11	consumption	consumption	NOUN
hassl-780	38	12	,	,	PUNCT
hassl-780	38	13	female	female	ADJ
hassl-780	38	14	employment	employment	NOUN
hassl-780	38	15	and	and	CCONJ
hassl-780	38	16	fertility	fertility	NOUN
hassl-780	38	17	decisions	decision	NOUN
hassl-780	38	18	.	.	PUNCT
hassl-780	39	1	the	the	DET
hassl-780	39	2	demographic	demographic	ADJ
hassl-780	39	3	composition	composition	NOUN
hassl-780	39	4	of	of	ADP
hassl-780	39	5	the	the	DET
hassl-780	39	6	nigerian	nigerian	ADJ
hassl-780	39	7	population	population	NOUN
hassl-780	39	8	is	be	AUX
hassl-780	39	9	peculiar	peculiar	ADJ
hassl-780	39	10	.	.	PUNCT
hassl-780	40	1	approximately	approximately	ADV
hassl-780	40	2	,	,	PUNCT
hassl-780	40	3	75	75	NUM
hassl-780	40	4	%	%	NOUN
hassl-780	40	5	of	of	ADP
hassl-780	40	6	the	the	DET
hassl-780	40	7	population	population	NOUN
hassl-780	40	8	comprises	comprise	NOUN
hassl-780	40	9	of	of	ADP
hassl-780	40	10	women	woman	NOUN
hassl-780	40	11	and	and	CCONJ
hassl-780	40	12	children	child	NOUN
hassl-780	40	13	(	(	PUNCT
hassl-780	40	14	international	international	PROPN
hassl-780	40	15	institute	institute	PROPN
hassl-780	40	16	of	of	ADP
hassl-780	40	17	tropical	tropical	PROPN
hassl-780	40	18	agriculture	agriculture	NOUN
hassl-780	40	19	,	,	PUNCT
hassl-780	40	20	2004	2004	NUM
hassl-780	40	21	)	)	PUNCT
hassl-780	40	22	.	.	PUNCT
hassl-780	41	1	this	this	PRON
hassl-780	41	2	suggests	suggest	VERB
hassl-780	41	3	that	that	SCONJ
hassl-780	41	4	the	the	DET
hassl-780	41	5	consumption	consumption	NOUN
hassl-780	41	6	pattern	pattern	NOUN
hassl-780	41	7	of	of	ADP
hassl-780	41	8	an	an	DET
hassl-780	41	9	average	average	ADJ
hassl-780	41	10	nigerian	nigerian	ADJ
hassl-780	41	11	household	household	NOUN
hassl-780	41	12	may	may	AUX
hassl-780	41	13	be	be	AUX
hassl-780	41	14	high	high	ADJ
hassl-780	41	15	especially	especially	ADV
hassl-780	41	16	when	when	SCONJ
hassl-780	41	17	purchasing	purchase	VERB
hassl-780	41	18	food	food	NOUN
hassl-780	41	19	and	and	CCONJ
hassl-780	41	20	other	other	ADJ
hassl-780	41	21	basic	basic	ADJ
hassl-780	41	22	necessities	necessity	NOUN
hassl-780	41	23	.	.	PUNCT
hassl-780	42	1	hence	hence	ADV
hassl-780	42	2	,	,	PUNCT
hassl-780	42	3	the	the	DET
hassl-780	42	4	demographic	demographic	ADJ
hassl-780	42	5	composition	composition	NOUN
hassl-780	42	6	of	of	ADP
hassl-780	42	7	nigeria	nigeria	PROPN
hassl-780	42	8	would	would	AUX
hassl-780	42	9	have	have	VERB
hassl-780	42	10	a	a	DET
hassl-780	42	11	lot	lot	NOUN
hassl-780	42	12	of	of	ADP
hassl-780	42	13	implication	implication	NOUN
hassl-780	42	14	on	on	ADP
hassl-780	42	15	household	household	NOUN
hassl-780	42	16	consumption	consumption	NOUN
hassl-780	42	17	.	.	PUNCT
hassl-780	43	1	table-1	table-1	NUM
hassl-780	43	2	.	.	PUNCT
hassl-780	44	1	indicators	indicator	NOUN
hassl-780	44	2	by	by	ADP
hassl-780	44	3	geo	geo	PROPN
hassl-780	44	4	-	-	ADJ
hassl-780	44	5	political	political	ADJ
hassl-780	44	6	zones	zone	NOUN
hassl-780	44	7	indicators	indicator	NOUN
hassl-780	44	8	geo	geo	PROPN
hassl-780	44	9	-	-	ADJ
hassl-780	44	10	political	political	ADJ
hassl-780	44	11	zone	zone	NOUN
hassl-780	44	12	northeast	northeast	PROPN
hassl-780	44	13	northwest	northwest	PROPN
hassl-780	44	14	northcentral	northcentral	PROPN
hassl-780	44	15	southeast	southeast	PROPN
hassl-780	44	16	southwest	southwest	PROPN
hassl-780	44	17	southsouth	southsouth	PROPN
hassl-780	44	18	primary	primary	PROPN
hassl-780	44	19	school	school	NOUN
hassl-780	44	20	net	net	ADJ
hassl-780	44	21	enrolment	enrolment	NOUN
hassl-780	44	22	rate	rate	NOUN
hassl-780	44	23	(	(	PUNCT
hassl-780	44	24	female	female	NOUN
hassl-780	44	25	)	)	PUNCT
hassl-780	44	26	41.5	41.5	NUM
hassl-780	44	27	38.6	38.6	NUM
hassl-780	44	28	72.1	72.1	NUM
hassl-780	44	29	80.0	80.0	NUM
hassl-780	44	30	81.2	81.2	NUM
hassl-780	44	31	76.1	76.1	NUM
hassl-780	44	32	secondary	secondary	ADJ
hassl-780	44	33	school	school	NOUN
hassl-780	44	34	net	net	ADJ
hassl-780	44	35	enrolment	enrolment	NOUN
hassl-780	44	36	rate	rate	NOUN
hassl-780	44	37	(	(	PUNCT
hassl-780	44	38	female	female	NOUN
hassl-780	44	39	)	)	PUNCT
hassl-780	44	40	24.7	24.7	NUM
hassl-780	44	41	22.5	22.5	NUM
hassl-780	44	42	43.8	43.8	NUM
hassl-780	44	43	61.4	61.4	NUM
hassl-780	44	44	64.3	64.3	NUM
hassl-780	44	45	60.9	60.9	NUM
hassl-780	44	46	literacy	literacy	NOUN
hassl-780	44	47	rate	rate	NOUN
hassl-780	44	48	-	-	PUNCT
hassl-780	44	49	english	english	ADJ
hassl-780	44	50	(	(	PUNCT
hassl-780	44	51	female	female	NOUN
hassl-780	44	52	)	)	PUNCT
hassl-780	44	53	30.4	30.4	NUM
hassl-780	44	54	28.4	28.4	NUM
hassl-780	44	55	66.0	66.0	NUM
hassl-780	44	56	93.3	93.3	NUM
hassl-780	44	57	90.6	90.6	NUM
hassl-780	44	58	89.6	89.6	NUM
hassl-780	44	59	household	household	NOUN
hassl-780	44	60	dependency	dependency	NOUN
hassl-780	44	61	ratio	ratio	NOUN
hassl-780	44	62	0.9	0.9	NUM
hassl-780	44	63	0.9	0.9	NUM
hassl-780	44	64	0.7	0.7	NUM
hassl-780	44	65	0.7	0.7	NUM
hassl-780	44	66	0.7	0.7	NUM
hassl-780	44	67	0.6	0.6	NUM
hassl-780	44	68	total	total	NOUN
hassl-780	44	69	fertility	fertility	NOUN
hassl-780	44	70	rate	rate	NOUN
hassl-780	44	71	7	7	NUM
hassl-780	44	72	6.7	6.7	NUM
hassl-780	44	73	5.7	5.7	NUM
hassl-780	44	74	5.3	5.3	NUM
hassl-780	44	75	4.8	4.8	NUM
hassl-780	44	76	5.5	5.5	NUM
hassl-780	44	77	number	number	NOUN
hassl-780	44	78	of	of	ADP
hassl-780	44	79	children	child	NOUN
hassl-780	44	80	per	per	ADP
hassl-780	44	81	woman	woman	NOUN
hassl-780	44	82	7.8	7.8	NUM
hassl-780	44	83	8.6	8.6	NUM
hassl-780	44	84	6.2	6.2	NUM
hassl-780	44	85	5.3	5.3	NUM
hassl-780	44	86	4.8	4.8	NUM
hassl-780	44	87	5.5	5.5	NUM
hassl-780	44	88	%	%	NOUN
hassl-780	44	89	of	of	ADP
hassl-780	44	90	currently	currently	ADV
hassl-780	44	91	married	married	ADJ
hassl-780	44	92	women	woman	NOUN
hassl-780	44	93	presently	presently	ADV
hassl-780	44	94	using	use	VERB
hassl-780	44	95	any	any	DET
hassl-780	44	96	contraceptive	contraceptive	ADJ
hassl-780	44	97	method	method	NOUN
hassl-780	44	98	4	4	NUM
hassl-780	44	99	5	5	NUM
hassl-780	44	100	13	13	NUM
hassl-780	44	101	23	23	NUM
hassl-780	44	102	33	33	NUM
hassl-780	44	103	25	25	NUM
hassl-780	44	104	household	household	NOUN
hassl-780	44	105	consumption	consumption	NOUN
hassl-780	44	106	:	:	PUNCT
hassl-780	44	107	%	%	NOUN
hassl-780	44	108	of	of	ADP
hassl-780	44	109	total	total	ADJ
hassl-780	44	110	expenditure	expenditure	NOUN
hassl-780	44	111	11.16	11.16	NUM
hassl-780	44	112	22.26	22.26	NUM
hassl-780	44	113	14.57	14.57	NUM
hassl-780	44	114	12.04	12.04	NUM
hassl-780	44	115	25.31	25.31	NUM
hassl-780	44	116	14.67	14.67	NUM
hassl-780	44	117	source	source	NOUN
hassl-780	44	118	:	:	PUNCT
hassl-780	44	119	national	national	PROPN
hassl-780	44	120	bureau	bureau	PROPN
hassl-780	44	121	of	of	ADP
hassl-780	44	122	statistics	statistic	NOUN
hassl-780	44	123	(	(	PUNCT
hassl-780	44	124	2012	2012	NUM
hassl-780	44	125	)	)	PUNCT
hassl-780	44	126	humanities	humanity	NOUN
hassl-780	44	127	and	and	CCONJ
hassl-780	44	128	social	social	ADJ
hassl-780	44	129	sciences	science	NOUN
hassl-780	44	130	letters	letter	NOUN
hassl-780	44	131	,	,	PUNCT
hassl-780	44	132	2016	2016	NUM
hassl-780	44	133	,	,	PUNCT
hassl-780	44	134	4(3	4(3	NUM
hassl-780	44	135	):	):	PUNCT
hassl-780	44	136	62	62	NUM
hassl-780	44	137	-	-	SYM
hassl-780	44	138	68	68	NUM
hassl-780	44	139	64	64	NUM
hassl-780	44	140	©	©	PROPN
hassl-780	44	141	2016	2016	NUM
hassl-780	44	142	conscientia	conscientia	PROPN
hassl-780	44	143	beam	beam	PROPN
hassl-780	44	144	.	.	PUNCT
hassl-780	45	1	all	all	DET
hassl-780	45	2	rights	right	NOUN
hassl-780	45	3	reserved	reserve	VERB
hassl-780	45	4	available	available	ADJ
hassl-780	45	5	data	datum	NOUN
hassl-780	45	6	on	on	ADP
hassl-780	45	7	nigeria	nigeria	PROPN
hassl-780	45	8	shows	show	VERB
hassl-780	45	9	the	the	DET
hassl-780	45	10	levels	level	NOUN
hassl-780	45	11	of	of	ADP
hassl-780	45	12	fertility	fertility	NOUN
hassl-780	45	13	decisions	decision	NOUN
hassl-780	45	14	,	,	PUNCT
hassl-780	45	15	household	household	NOUN
hassl-780	45	16	consumption	consumption	NOUN
hassl-780	45	17	and	and	CCONJ
hassl-780	45	18	female	female	ADJ
hassl-780	45	19	employment	employment	NOUN
hassl-780	45	20	differs	differ	VERB
hassl-780	45	21	in	in	ADP
hassl-780	45	22	each	each	DET
hassl-780	45	23	geo	geo	PROPN
hassl-780	45	24	-	-	ADJ
hassl-780	45	25	political	political	ADJ
hassl-780	45	26	zones	zone	NOUN
hassl-780	45	27	.	.	PUNCT
hassl-780	46	1	as	as	SCONJ
hassl-780	46	2	evidenced	evidence	VERB
hassl-780	46	3	from	from	ADP
hassl-780	46	4	table	table	NOUN
hassl-780	46	5	1	1	NUM
hassl-780	46	6	,	,	PUNCT
hassl-780	46	7	total	total	ADJ
hassl-780	46	8	household	household	NOUN
hassl-780	46	9	consumption	consumption	NOUN
hassl-780	46	10	in	in	ADP
hassl-780	46	11	southwest	southwest	PROPN
hassl-780	46	12	is	be	AUX
hassl-780	46	13	the	the	DET
hassl-780	46	14	highest	high	ADJ
hassl-780	46	15	with	with	ADP
hassl-780	46	16	25.31	25.31	NUM
hassl-780	46	17	compared	compare	VERB
hassl-780	46	18	with	with	ADP
hassl-780	46	19	11.16	11.16	NUM
hassl-780	46	20	in	in	ADP
hassl-780	46	21	north	north	NOUN
hassl-780	46	22	-	-	PUNCT
hassl-780	46	23	east	east	NOUN
hassl-780	46	24	and	and	CCONJ
hassl-780	46	25	12.04	12.04	NUM
hassl-780	46	26	in	in	ADP
hassl-780	46	27	the	the	DET
hassl-780	46	28	south	south	NOUN
hassl-780	46	29	-	-	PUNCT
hassl-780	46	30	east	east	NOUN
hassl-780	46	31	.	.	PUNCT
hassl-780	47	1	if	if	SCONJ
hassl-780	47	2	household	household	NOUN
hassl-780	47	3	consumption	consumption	NOUN
hassl-780	47	4	is	be	AUX
hassl-780	47	5	high	high	ADJ
hassl-780	47	6	,	,	PUNCT
hassl-780	47	7	the	the	DET
hassl-780	47	8	woman	woman	NOUN
hassl-780	47	9	in	in	ADP
hassl-780	47	10	the	the	DET
hassl-780	47	11	household	household	NOUN
hassl-780	47	12	might	might	AUX
hassl-780	47	13	be	be	AUX
hassl-780	47	14	compelled	compel	VERB
hassl-780	47	15	to	to	PART
hassl-780	47	16	work	work	VERB
hassl-780	47	17	or	or	CCONJ
hassl-780	47	18	increase	increase	VERB
hassl-780	47	19	working	work	VERB
hassl-780	47	20	hours	hour	NOUN
hassl-780	47	21	and	and	CCONJ
hassl-780	47	22	this	this	PRON
hassl-780	47	23	in	in	ADP
hassl-780	47	24	turn	turn	NOUN
hassl-780	47	25	will	will	AUX
hassl-780	47	26	have	have	VERB
hassl-780	47	27	effect	effect	NOUN
hassl-780	47	28	on	on	ADP
hassl-780	47	29	fertility	fertility	NOUN
hassl-780	47	30	decision	decision	NOUN
hassl-780	47	31	.	.	PUNCT
hassl-780	48	1	furthermore	furthermore	ADV
hassl-780	48	2	,	,	PUNCT
hassl-780	48	3	narrowing	narrow	VERB
hassl-780	48	4	down	down	ADP
hassl-780	48	5	the	the	DET
hassl-780	48	6	country	country	NOUN
hassl-780	48	7	into	into	ADP
hassl-780	48	8	geo	geo	PROPN
hassl-780	48	9	-	-	PUNCT
hassl-780	48	10	political	political	ADJ
hassl-780	48	11	zones	zone	NOUN
hassl-780	48	12	might	might	AUX
hassl-780	48	13	be	be	AUX
hassl-780	48	14	necessary	necessary	ADJ
hassl-780	48	15	as	as	ADP
hassl-780	48	16	a	a	DET
hassl-780	48	17	result	result	NOUN
hassl-780	48	18	of	of	ADP
hassl-780	48	19	peculiarities	peculiarity	NOUN
hassl-780	48	20	in	in	ADP
hassl-780	48	21	household	household	NOUN
hassl-780	48	22	decisions	decision	NOUN
hassl-780	48	23	streaming	streaming	NOUN
hassl-780	48	24	from	from	ADP
hassl-780	48	25	the	the	DET
hassl-780	48	26	diversities	diversity	NOUN
hassl-780	48	27	arising	arise	VERB
hassl-780	48	28	from	from	ADP
hassl-780	48	29	their	their	PRON
hassl-780	48	30	cultural	cultural	ADJ
hassl-780	48	31	and	and	CCONJ
hassl-780	48	32	environmental	environmental	ADJ
hassl-780	48	33	set	set	NOUN
hassl-780	48	34	-	-	PUNCT
hassl-780	48	35	up	up	NOUN
hassl-780	48	36	.	.	PUNCT
hassl-780	49	1	from	from	ADP
hassl-780	49	2	table	table	NOUN
hassl-780	49	3	1	1	NUM
hassl-780	49	4	above	above	ADV
hassl-780	49	5	,	,	PUNCT
hassl-780	49	6	southwest	southwest	NOUN
hassl-780	49	7	have	have	VERB
hassl-780	49	8	the	the	DET
hassl-780	49	9	highest	high	ADJ
hassl-780	49	10	female	female	ADJ
hassl-780	49	11	primary	primary	ADJ
hassl-780	49	12	and	and	CCONJ
hassl-780	49	13	secondary	secondary	ADJ
hassl-780	49	14	school	school	NOUN
hassl-780	49	15	enrolment	enrolment	NOUN
hassl-780	49	16	as	as	ADV
hassl-780	49	17	well	well	ADV
hassl-780	49	18	as	as	ADP
hassl-780	49	19	the	the	DET
hassl-780	49	20	second	second	ADJ
hassl-780	49	21	highest	high	ADJ
hassl-780	49	22	female	female	ADJ
hassl-780	49	23	youth	youth	NOUN
hassl-780	49	24	literacy	literacy	NOUN
hassl-780	49	25	rate	rate	NOUN
hassl-780	49	26	but	but	CCONJ
hassl-780	49	27	the	the	DET
hassl-780	49	28	lowest	low	ADJ
hassl-780	49	29	fertility	fertility	NOUN
hassl-780	49	30	rate	rate	NOUN
hassl-780	49	31	and	and	CCONJ
hassl-780	49	32	number	number	NOUN
hassl-780	49	33	of	of	ADP
hassl-780	49	34	children	child	NOUN
hassl-780	49	35	per	per	ADP
hassl-780	49	36	woman	woman	NOUN
hassl-780	49	37	.	.	PUNCT
hassl-780	50	1	this	this	PRON
hassl-780	50	2	may	may	AUX
hassl-780	50	3	suggest	suggest	VERB
hassl-780	50	4	that	that	SCONJ
hassl-780	50	5	there	there	PRON
hassl-780	50	6	may	may	AUX
hassl-780	50	7	have	have	AUX
hassl-780	50	8	been	be	AUX
hassl-780	50	9	increasing	increase	VERB
hassl-780	50	10	participation	participation	NOUN
hassl-780	50	11	of	of	ADP
hassl-780	50	12	women	woman	NOUN
hassl-780	50	13	in	in	ADP
hassl-780	50	14	the	the	DET
hassl-780	50	15	labour	labour	ADJ
hassl-780	50	16	force	force	NOUN
hassl-780	50	17	in	in	ADP
hassl-780	50	18	the	the	DET
hassl-780	50	19	southwest	southwest	NOUN
hassl-780	50	20	than	than	ADP
hassl-780	50	21	other	other	ADJ
hassl-780	50	22	geopolitical	geopolitical	ADJ
hassl-780	50	23	zones	zone	NOUN
hassl-780	50	24	of	of	ADP
hassl-780	50	25	the	the	DET
hassl-780	50	26	country	country	NOUN
hassl-780	50	27	.	.	PUNCT
hassl-780	51	1	also	also	ADV
hassl-780	51	2	,	,	PUNCT
hassl-780	51	3	female	female	ADJ
hassl-780	51	4	labour	labour	NOUN
hassl-780	51	5	force	force	NOUN
hassl-780	51	6	participation	participation	NOUN
hassl-780	51	7	might	might	AUX
hassl-780	51	8	have	have	VERB
hassl-780	51	9	effect	effect	NOUN
hassl-780	51	10	on	on	ADP
hassl-780	51	11	household	household	NOUN
hassl-780	51	12	fertility	fertility	NOUN
hassl-780	51	13	decisions	decision	NOUN
hassl-780	51	14	in	in	ADP
hassl-780	51	15	each	each	DET
hassl-780	51	16	geopolitical	geopolitical	ADJ
hassl-780	51	17	zone	zone	NOUN
hassl-780	51	18	when	when	SCONJ
hassl-780	51	19	considering	consider	VERB
hassl-780	51	20	both	both	CCONJ
hassl-780	51	21	education	education	NOUN
hassl-780	51	22	and	and	CCONJ
hassl-780	51	23	fertility	fertility	NOUN
hassl-780	51	24	variables	variable	NOUN
hassl-780	51	25	of	of	ADP
hassl-780	51	26	each	each	PRON
hassl-780	51	27	.	.	PUNCT
hassl-780	52	1	in	in	ADP
hassl-780	52	2	addition	addition	NOUN
hassl-780	52	3	,	,	PUNCT
hassl-780	52	4	the	the	DET
hassl-780	52	5	consumption	consumption	NOUN
hassl-780	52	6	pattern	pattern	NOUN
hassl-780	52	7	of	of	ADP
hassl-780	52	8	households	household	NOUN
hassl-780	52	9	(	(	PUNCT
hassl-780	52	10	for	for	ADP
hassl-780	52	11	both	both	CCONJ
hassl-780	52	12	food	food	NOUN
hassl-780	52	13	and	and	CCONJ
hassl-780	52	14	non	non	ADJ
hassl-780	52	15	-	-	ADJ
hassl-780	52	16	food	food	ADJ
hassl-780	52	17	products	product	NOUN
hassl-780	52	18	)	)	PUNCT
hassl-780	52	19	may	may	AUX
hassl-780	52	20	have	have	VERB
hassl-780	52	21	a	a	DET
hassl-780	52	22	relationship	relationship	NOUN
hassl-780	52	23	with	with	ADP
hassl-780	52	24	the	the	DET
hassl-780	52	25	decision	decision	NOUN
hassl-780	52	26	of	of	ADP
hassl-780	52	27	women	woman	NOUN
hassl-780	52	28	to	to	PART
hassl-780	52	29	work	work	VERB
hassl-780	52	30	,	,	PUNCT
hassl-780	52	31	increase	increase	VERB
hassl-780	52	32	working	work	VERB
hassl-780	52	33	hours	hour	NOUN
hassl-780	52	34	or	or	CCONJ
hassl-780	52	35	have	have	VERB
hassl-780	52	36	higher	high	ADJ
hassl-780	52	37	order	order	NOUN
hassl-780	52	38	of	of	ADP
hassl-780	52	39	births	birth	NOUN
hassl-780	52	40	.	.	PUNCT
hassl-780	53	1	this	this	DET
hassl-780	53	2	work	work	NOUN
hassl-780	53	3	is	be	AUX
hassl-780	53	4	particularly	particularly	ADV
hassl-780	53	5	interested	interested	ADJ
hassl-780	53	6	in	in	ADP
hassl-780	53	7	southwest	southwest	PROPN
hassl-780	53	8	nigeria	nigeria	PROPN
hassl-780	53	9	because	because	SCONJ
hassl-780	53	10	it	it	PRON
hassl-780	53	11	has	have	VERB
hassl-780	53	12	the	the	DET
hassl-780	53	13	highest	high	ADJ
hassl-780	53	14	consumption	consumption	NOUN
hassl-780	53	15	pattern	pattern	NOUN
hassl-780	53	16	,	,	PUNCT
hassl-780	53	17	highest	high	ADJ
hassl-780	53	18	level	level	NOUN
hassl-780	53	19	of	of	ADP
hassl-780	53	20	education	education	NOUN
hassl-780	53	21	but	but	CCONJ
hassl-780	53	22	lowest	low	ADJ
hassl-780	53	23	level	level	NOUN
hassl-780	53	24	of	of	ADP
hassl-780	53	25	children	child	NOUN
hassl-780	53	26	per	per	ADP
hassl-780	53	27	woman	woman	NOUN
hassl-780	53	28	and	and	CCONJ
hassl-780	53	29	total	total	ADJ
hassl-780	53	30	fertility	fertility	NOUN
hassl-780	53	31	rate	rate	NOUN
hassl-780	53	32	;	;	PUNCT
hassl-780	53	33	such	such	ADJ
hassl-780	53	34	composition	composition	NOUN
hassl-780	53	35	is	be	AUX
hassl-780	53	36	unique	unique	ADJ
hassl-780	53	37	when	when	SCONJ
hassl-780	53	38	compared	compare	VERB
hassl-780	53	39	to	to	ADP
hassl-780	53	40	other	other	ADJ
hassl-780	53	41	geo	geo	PROPN
hassl-780	53	42	-	-	ADJ
hassl-780	53	43	political	political	ADJ
hassl-780	53	44	zones	zone	NOUN
hassl-780	53	45	.	.	PUNCT
hassl-780	54	1	hence	hence	ADV
hassl-780	54	2	this	this	DET
hassl-780	54	3	study	study	NOUN
hassl-780	54	4	investigates	investigate	VERB
hassl-780	54	5	household	household	NOUN
hassl-780	54	6	consumption	consumption	NOUN
hassl-780	54	7	,	,	PUNCT
hassl-780	54	8	female	female	ADJ
hassl-780	54	9	employment	employment	NOUN
hassl-780	54	10	and	and	CCONJ
hassl-780	54	11	fertility	fertility	NOUN
hassl-780	54	12	decision	decision	NOUN
hassl-780	54	13	in	in	ADP
hassl-780	54	14	southwest	southwest	PROPN
hassl-780	54	15	nigeria	nigeria	PROPN
hassl-780	54	16	,	,	PUNCT
hassl-780	54	17	from	from	ADP
hassl-780	54	18	a	a	DET
hassl-780	54	19	microeconomic	microeconomic	ADJ
hassl-780	54	20	framework	framework	NOUN
hassl-780	54	21	.	.	PUNCT
hassl-780	55	1	section	section	NOUN
hassl-780	55	2	one	one	NUM
hassl-780	55	3	introduces	introduce	VERB
hassl-780	55	4	the	the	DET
hassl-780	55	5	work	work	NOUN
hassl-780	55	6	while	while	SCONJ
hassl-780	55	7	section	section	NOUN
hassl-780	55	8	two	two	NUM
hassl-780	55	9	reviews	review	NOUN
hassl-780	55	10	literature	literature	NOUN
hassl-780	55	11	section	section	NOUN
hassl-780	55	12	three	three	NUM
hassl-780	55	13	discusses	discuss	VERB
hassl-780	55	14	data	datum	NOUN
hassl-780	55	15	and	and	CCONJ
hassl-780	55	16	analysis	analysis	NOUN
hassl-780	55	17	while	while	SCONJ
hassl-780	55	18	section	section	NOUN
hassl-780	55	19	four	four	NUM
hassl-780	55	20	discusses	discuss	VERB
hassl-780	55	21	the	the	DET
hassl-780	55	22	conclusion	conclusion	NOUN
hassl-780	55	23	.	.	PUNCT
hassl-780	56	1	2	2	X
hassl-780	56	2	.	.	X
hassl-780	56	3	literature	literature	NOUN
hassl-780	56	4	review	review	NOUN
hassl-780	56	5	browning	browning	NOUN
hassl-780	56	6	and	and	CCONJ
hassl-780	56	7	ejrnaes	ejrnaes	NOUN
hassl-780	56	8	(	(	PUNCT
hassl-780	56	9	2002	2002	NUM
hassl-780	56	10	)	)	PUNCT
hassl-780	56	11	tested	test	VERB
hassl-780	56	12	if	if	SCONJ
hassl-780	56	13	precautionary	precautionary	ADJ
hassl-780	56	14	saving	saving	NOUN
hassl-780	56	15	motive	motive	NOUN
hassl-780	56	16	explains	explain	VERB
hassl-780	56	17	lifetime	lifetime	NOUN
hassl-780	56	18	path	path	NOUN
hassl-780	56	19	of	of	ADP
hassl-780	56	20	household	household	NOUN
hassl-780	56	21	consumption	consumption	NOUN
hassl-780	56	22	.	.	PUNCT
hassl-780	57	1	they	they	PRON
hassl-780	57	2	used	use	VERB
hassl-780	57	3	system	system	NOUN
hassl-780	57	4	generalised	generalise	VERB
hassl-780	57	5	method	method	NOUN
hassl-780	57	6	of	of	ADP
hassl-780	57	7	moment	moment	NOUN
hassl-780	57	8	to	to	PART
hassl-780	57	9	analyse	analyse	VERB
hassl-780	57	10	household	household	NOUN
hassl-780	57	11	survey	survey	NOUN
hassl-780	57	12	.	.	PUNCT
hassl-780	58	1	they	they	PRON
hassl-780	58	2	concluded	conclude	VERB
hassl-780	58	3	that	that	SCONJ
hassl-780	58	4	if	if	SCONJ
hassl-780	58	5	proper	proper	ADJ
hassl-780	58	6	account	account	NOUN
hassl-780	58	7	of	of	ADP
hassl-780	58	8	numbers	number	NOUN
hassl-780	58	9	of	of	ADP
hassl-780	58	10	children	child	NOUN
hassl-780	58	11	is	be	AUX
hassl-780	58	12	taken	take	VERB
hassl-780	58	13	into	into	ADP
hassl-780	58	14	consideration	consideration	NOUN
hassl-780	58	15	,	,	PUNCT
hassl-780	58	16	family	family	NOUN
hassl-780	58	17	composition	composition	NOUN
hassl-780	58	18	not	not	PART
hassl-780	58	19	precautionary	precautionary	ADJ
hassl-780	58	20	saving	save	VERB
hassl-780	58	21	motive	motive	NOUN
hassl-780	58	22	explains	explain	VERB
hassl-780	58	23	the	the	DET
hassl-780	58	24	lifetime	lifetime	NOUN
hassl-780	58	25	path	path	NOUN
hassl-780	58	26	of	of	ADP
hassl-780	58	27	household	household	NOUN
hassl-780	58	28	consumption	consumption	NOUN
hassl-780	58	29	.	.	PUNCT
hassl-780	59	1	carrasco	carrasco	PROPN
hassl-780	59	2	and	and	CCONJ
hassl-780	59	3	zamora	zamora	PROPN
hassl-780	59	4	(	(	PUNCT
hassl-780	59	5	2010	2010	NUM
hassl-780	59	6	)	)	PUNCT
hassl-780	59	7	examined	examine	VERB
hassl-780	59	8	the	the	DET
hassl-780	59	9	effect	effect	NOUN
hassl-780	59	10	of	of	ADP
hassl-780	59	11	female	female	ADJ
hassl-780	59	12	labour	labour	NOUN
hassl-780	59	13	participation	participation	NOUN
hassl-780	59	14	on	on	ADP
hassl-780	59	15	household	household	NOUN
hassl-780	59	16	consumption	consumption	NOUN
hassl-780	59	17	of	of	ADP
hassl-780	59	18	couples	couple	NOUN
hassl-780	59	19	within	within	ADP
hassl-780	59	20	a	a	DET
hassl-780	59	21	collective	collective	ADJ
hassl-780	59	22	choice	choice	NOUN
hassl-780	59	23	framework	framework	NOUN
hassl-780	59	24	in	in	ADP
hassl-780	59	25	which	which	PRON
hassl-780	59	26	bargaining	bargaining	NOUN
hassl-780	59	27	plays	play	VERB
hassl-780	59	28	a	a	DET
hassl-780	59	29	role	role	NOUN
hassl-780	59	30	in	in	ADP
hassl-780	59	31	spain	spain	PROPN
hassl-780	59	32	.	.	PUNCT
hassl-780	60	1	they	they	PRON
hassl-780	60	2	used	use	VERB
hassl-780	60	3	two	two	NUM
hassl-780	60	4	stage	stage	NOUN
hassl-780	60	5	estimators	estimator	NOUN
hassl-780	60	6	to	to	PART
hassl-780	60	7	analyse	analyse	VERB
hassl-780	60	8	panel	panel	NOUN
hassl-780	60	9	data	datum	NOUN
hassl-780	60	10	and	and	CCONJ
hassl-780	60	11	found	find	VERB
hassl-780	60	12	that	that	SCONJ
hassl-780	60	13	female	female	ADJ
hassl-780	60	14	participation	participation	NOUN
hassl-780	60	15	causes	cause	VERB
hassl-780	60	16	an	an	DET
hassl-780	60	17	increase	increase	NOUN
hassl-780	60	18	in	in	ADP
hassl-780	60	19	consumption	consumption	NOUN
hassl-780	60	20	of	of	ADP
hassl-780	60	21	most	most	ADJ
hassl-780	60	22	household	household	NOUN
hassl-780	60	23	commodities	commodity	NOUN
hassl-780	60	24	.	.	PUNCT
hassl-780	61	1	they	they	PRON
hassl-780	61	2	concluded	conclude	VERB
hassl-780	61	3	that	that	SCONJ
hassl-780	61	4	female	female	ADJ
hassl-780	61	5	leisure	leisure	NOUN
hassl-780	61	6	is	be	AUX
hassl-780	61	7	a	a	DET
hassl-780	61	8	substitute	substitute	NOUN
hassl-780	61	9	for	for	ADP
hassl-780	61	10	consumption	consumption	NOUN
hassl-780	61	11	.	.	PUNCT
hassl-780	62	1	in	in	ADP
hassl-780	62	2	addition	addition	NOUN
hassl-780	62	3	,	,	PUNCT
hassl-780	62	4	besides	besides	SCONJ
hassl-780	62	5	substitution	substitution	NOUN
hassl-780	62	6	effects	effect	NOUN
hassl-780	62	7	,	,	PUNCT
hassl-780	62	8	the	the	DET
hassl-780	62	9	bargaining	bargaining	NOUN
hassl-780	62	10	between	between	ADP
hassl-780	62	11	the	the	DET
hassl-780	62	12	spouses	spouse	NOUN
hassl-780	62	13	in	in	ADP
hassl-780	62	14	the	the	DET
hassl-780	62	15	household	household	NOUN
hassl-780	62	16	’s	’s	PART
hassl-780	62	17	decision	decision	NOUN
hassl-780	62	18	process	process	NOUN
hassl-780	62	19	accounts	account	VERB
hassl-780	62	20	for	for	ADP
hassl-780	62	21	part	part	NOUN
hassl-780	62	22	of	of	ADP
hassl-780	62	23	this	this	DET
hassl-780	62	24	effect	effect	NOUN
hassl-780	62	25	.	.	PUNCT
hassl-780	63	1	gete	gete	NOUN
hassl-780	63	2	and	and	CCONJ
hassl-780	63	3	porchia	porchia	NOUN
hassl-780	63	4	(	(	PUNCT
hassl-780	63	5	2011	2011	NUM
hassl-780	63	6	)	)	PUNCT
hassl-780	63	7	examined	examine	VERB
hassl-780	63	8	the	the	DET
hassl-780	63	9	joint	joint	ADJ
hassl-780	63	10	consumption	consumption	NOUN
hassl-780	63	11	and	and	CCONJ
hassl-780	63	12	fertility	fertility	NOUN
hassl-780	63	13	decisions	decision	NOUN
hassl-780	63	14	of	of	ADP
hassl-780	63	15	a	a	DET
hassl-780	63	16	household	household	NOUN
hassl-780	63	17	who	who	PRON
hassl-780	63	18	faces	face	VERB
hassl-780	63	19	uninsurable	uninsurable	ADJ
hassl-780	63	20	shocks	shock	NOUN
hassl-780	63	21	to	to	ADP
hassl-780	63	22	both	both	DET
hassl-780	63	23	income	income	NOUN
hassl-780	63	24	and	and	CCONJ
hassl-780	63	25	the	the	DET
hassl-780	63	26	cost	cost	NOUN
hassl-780	63	27	of	of	ADP
hassl-780	63	28	raising	raise	VERB
hassl-780	63	29	a	a	DET
hassl-780	63	30	child	child	NOUN
hassl-780	63	31	.	.	PUNCT
hassl-780	64	1	they	they	PRON
hassl-780	64	2	used	use	VERB
hassl-780	64	3	panel	panel	NOUN
hassl-780	64	4	data	datum	NOUN
hassl-780	64	5	to	to	PART
hassl-780	64	6	analyse	analyse	VERB
hassl-780	64	7	their	their	PRON
hassl-780	64	8	model	model	NOUN
hassl-780	64	9	.	.	PUNCT
hassl-780	65	1	they	they	PRON
hassl-780	65	2	found	find	VERB
hassl-780	65	3	that	that	SCONJ
hassl-780	65	4	higher	high	ADJ
hassl-780	65	5	child	child	NOUN
hassl-780	65	6	risks	risk	NOUN
hassl-780	65	7	diminish	diminish	VERB
hassl-780	65	8	fertility	fertility	NOUN
hassl-780	65	9	and	and	CCONJ
hassl-780	65	10	consumption	consumption	NOUN
hassl-780	65	11	while	while	SCONJ
hassl-780	65	12	risk	risk	NOUN
hassl-780	65	13	aversion	aversion	NOUN
hassl-780	65	14	speeds	speed	VERB
hassl-780	65	15	up	up	ADP
hassl-780	65	16	fertility	fertility	NOUN
hassl-780	65	17	as	as	SCONJ
hassl-780	65	18	households	household	NOUN
hassl-780	65	19	use	use	VERB
hassl-780	65	20	the	the	DET
hassl-780	65	21	safe	safe	ADJ
hassl-780	65	22	utility	utility	NOUN
hassl-780	65	23	derived	derive	VERB
hassl-780	65	24	from	from	ADP
hassl-780	65	25	a	a	DET
hassl-780	65	26	child	child	NOUN
hassl-780	65	27	as	as	ADP
hassl-780	65	28	insurance	insurance	NOUN
hassl-780	65	29	against	against	ADP
hassl-780	65	30	fluctuations	fluctuation	NOUN
hassl-780	65	31	in	in	ADP
hassl-780	65	32	consumption	consumption	NOUN
hassl-780	65	33	.	.	PUNCT
hassl-780	66	1	also	also	ADV
hassl-780	66	2	,	,	PUNCT
hassl-780	66	3	they	they	PRON
hassl-780	66	4	found	find	VERB
hassl-780	66	5	that	that	SCONJ
hassl-780	66	6	fertility	fertility	NOUN
hassl-780	66	7	is	be	AUX
hassl-780	66	8	increasing	increase	VERB
hassl-780	66	9	in	in	ADP
hassl-780	66	10	the	the	DET
hassl-780	66	11	correlation	correlation	NOUN
hassl-780	66	12	between	between	ADP
hassl-780	66	13	income	income	NOUN
hassl-780	66	14	and	and	CCONJ
hassl-780	66	15	child	child	NOUN
hassl-780	66	16	cost	cost	NOUN
hassl-780	66	17	shocks	shock	NOUN
hassl-780	66	18	.	.	PUNCT
hassl-780	67	1	the	the	DET
hassl-780	67	2	household	household	NOUN
hassl-780	67	3	is	be	AUX
hassl-780	67	4	reluctant	reluctant	ADJ
hassl-780	67	5	to	to	PART
hassl-780	67	6	have	have	VERB
hassl-780	67	7	children	child	NOUN
hassl-780	67	8	when	when	SCONJ
hassl-780	67	9	positive	positive	ADJ
hassl-780	67	10	cost	cost	NOUN
hassl-780	67	11	shocks	shock	NOUN
hassl-780	67	12	come	come	VERB
hassl-780	67	13	together	together	ADV
hassl-780	67	14	with	with	ADP
hassl-780	67	15	bad	bad	ADJ
hassl-780	67	16	income	income	NOUN
hassl-780	67	17	shocks	shock	NOUN
hassl-780	67	18	.	.	PUNCT
hassl-780	68	1	the	the	DET
hassl-780	68	2	opposite	opposite	ADJ
hassl-780	68	3	result	result	NOUN
hassl-780	68	4	happens	happen	VERB
hassl-780	68	5	when	when	SCONJ
hassl-780	68	6	children	child	NOUN
hassl-780	68	7	hedge	hedge	VERB
hassl-780	68	8	income	income	NOUN
hassl-780	68	9	shocks	shock	NOUN
hassl-780	68	10	.	.	PUNCT
hassl-780	69	1	bhalotra	bhalotra	ADJ
hassl-780	69	2	and	and	CCONJ
hassl-780	69	3	umaña	umaña	NOUN
hassl-780	69	4	-	-	PUNCT
hassl-780	69	5	aponte	aponte	PROPN
hassl-780	69	6	(	(	PUNCT
hassl-780	69	7	2012	2012	NUM
hassl-780	69	8	)	)	PUNCT
hassl-780	69	9	investigated	investigate	VERB
hassl-780	69	10	whether	whether	SCONJ
hassl-780	69	11	cyclical	cyclical	ADJ
hassl-780	69	12	variation	variation	NOUN
hassl-780	69	13	in	in	ADP
hassl-780	69	14	women	woman	NOUN
hassl-780	69	15	’s	’s	PART
hassl-780	69	16	labour	labour	PROPN
hassl-780	69	17	supply	supply	NOUN
hassl-780	69	18	in	in	ADP
hassl-780	69	19	africa	africa	PROPN
hassl-780	69	20	contributes	contribute	VERB
hassl-780	69	21	to	to	ADP
hassl-780	69	22	smoothing	smooth	VERB
hassl-780	69	23	household	household	NOUN
hassl-780	69	24	consumption	consumption	NOUN
hassl-780	69	25	.	.	PUNCT
hassl-780	70	1	the	the	DET
hassl-780	70	2	scholars	scholar	NOUN
hassl-780	70	3	used	use	VERB
hassl-780	70	4	linear	linear	PROPN
hassl-780	70	5	probability	probability	NOUN
hassl-780	70	6	model	model	NOUN
hassl-780	70	7	(	(	PUNCT
hassl-780	70	8	lpm	lpm	NOUN
hassl-780	70	9	)	)	PUNCT
hassl-780	70	10	to	to	PART
hassl-780	70	11	analyse	analyse	VERB
hassl-780	70	12	household	household	NOUN
hassl-780	70	13	data	datum	NOUN
hassl-780	70	14	(	(	PUNCT
hassl-780	70	15	cross	cross	NOUN
hassl-780	70	16	country	country	NOUN
hassl-780	70	17	data	data	PROPN
hassl-780	70	18	)	)	PUNCT
hassl-780	70	19	form	form	VERB
hassl-780	70	20	demographic	demographic	ADJ
hassl-780	70	21	health	health	NOUN
hassl-780	70	22	survey	survey	NOUN
hassl-780	70	23	(	(	PUNCT
hassl-780	70	24	ndhs	ndhs	PROPN
hassl-780	70	25	)	)	PUNCT
hassl-780	70	26	for	for	ADP
hassl-780	70	27	75	75	NUM
hassl-780	70	28	countries	country	NOUN
hassl-780	70	29	.	.	PUNCT
hassl-780	71	1	they	they	PRON
hassl-780	71	2	found	find	VERB
hassl-780	71	3	that	that	SCONJ
hassl-780	71	4	women	woman	NOUN
hassl-780	71	5	's	's	PART
hassl-780	71	6	participation	participation	NOUN
hassl-780	71	7	in	in	ADP
hassl-780	71	8	the	the	DET
hassl-780	71	9	labour	labour	ADJ
hassl-780	71	10	force	force	NOUN
hassl-780	71	11	is	be	AUX
hassl-780	71	12	significantly	significantly	ADV
hassl-780	71	13	pro	pro	ADJ
hassl-780	71	14	-	-	ADJ
hassl-780	71	15	cyclical	cyclical	ADJ
hassl-780	71	16	.	.	PUNCT
hassl-780	72	1	beguy	beguy	NOUN
hassl-780	72	2	(	(	PUNCT
hassl-780	72	3	2009	2009	NUM
hassl-780	72	4	)	)	PUNCT
hassl-780	72	5	investigated	investigate	VERB
hassl-780	72	6	the	the	DET
hassl-780	72	7	impact	impact	NOUN
hassl-780	72	8	of	of	ADP
hassl-780	72	9	female	female	ADJ
hassl-780	72	10	employment	employment	NOUN
hassl-780	72	11	on	on	ADP
hassl-780	72	12	fertility	fertility	NOUN
hassl-780	72	13	in	in	ADP
hassl-780	72	14	two	two	NUM
hassl-780	72	15	urban	urban	ADJ
hassl-780	72	16	contexts	context	NOUN
hassl-780	72	17	in	in	ADP
hassl-780	72	18	sub	sub	ADJ
hassl-780	72	19	-	-	ADJ
hassl-780	72	20	saharan	saharan	ADJ
hassl-780	72	21	africa	africa	PROPN
hassl-780	72	22	:	:	PUNCT
hassl-780	72	23	humanities	humanity	NOUN
hassl-780	72	24	and	and	CCONJ
hassl-780	72	25	social	social	ADJ
hassl-780	72	26	sciences	science	NOUN
hassl-780	72	27	letters	letter	NOUN
hassl-780	72	28	,	,	PUNCT
hassl-780	72	29	2016	2016	NUM
hassl-780	72	30	,	,	PUNCT
hassl-780	72	31	4(3	4(3	NUM
hassl-780	72	32	):	):	PUNCT
hassl-780	72	33	62	62	NUM
hassl-780	72	34	-	-	SYM
hassl-780	72	35	68	68	NUM
hassl-780	72	36	65	65	NUM
hassl-780	72	37	©	©	PROPN
hassl-780	72	38	2016	2016	NUM
hassl-780	72	39	conscientia	conscientia	PROPN
hassl-780	72	40	beam	beam	PROPN
hassl-780	72	41	.	.	PUNCT
hassl-780	73	1	all	all	DET
hassl-780	73	2	rights	right	NOUN
hassl-780	73	3	reserved	reserve	VERB
hassl-780	73	4	dakar	dakar	NOUN
hassl-780	73	5	(	(	PUNCT
hassl-780	73	6	senegal	senegal	ADJ
hassl-780	73	7	)	)	PUNCT
hassl-780	73	8	and	and	CCONJ
hassl-780	73	9	lomé	lomé	ADJ
hassl-780	73	10	(	(	PUNCT
hassl-780	73	11	togo	togo	PROPN
hassl-780	73	12	)	)	PUNCT
hassl-780	73	13	.	.	PUNCT
hassl-780	74	1	he	he	PRON
hassl-780	74	2	used	use	VERB
hassl-780	74	3	cox	cox	PROPN
hassl-780	74	4	model	model	NOUN
hassl-780	74	5	and	and	CCONJ
hassl-780	74	6	regression	regression	NOUN
hassl-780	74	7	to	to	PART
hassl-780	74	8	analyse	analyse	VERB
hassl-780	74	9	397	397	NUM
hassl-780	74	10	household	household	NOUN
hassl-780	74	11	sample	sample	NOUN
hassl-780	74	12	from	from	ADP
hassl-780	74	13	ird	ird	PROPN
hassl-780	74	14	–	–	PUNCT
hassl-780	74	15	equipe	equipe	ADJ
hassl-780	74	16	jeremiin	jeremiin	PROPN
hassl-780	74	17	dakar	dakar	NOUN
hassl-780	74	18	and	and	CCONJ
hassl-780	74	19	1060	1060	NUM
hassl-780	74	20	samples	sample	NOUN
hassl-780	74	21	from	from	ADP
hassl-780	74	22	survey	survey	NOUN
hassl-780	74	23	on	on	ADP
hassl-780	74	24	migrations	migration	NOUN
hassl-780	74	25	and	and	CCONJ
hassl-780	74	26	urban	urban	ADJ
hassl-780	74	27	integration	integration	NOUN
hassl-780	74	28	in	in	ADP
hassl-780	74	29	lomé	lomé	NOUN
hassl-780	74	30	.	.	PUNCT
hassl-780	75	1	he	he	PRON
hassl-780	75	2	found	find	VERB
hassl-780	75	3	that	that	SCONJ
hassl-780	75	4	in	in	ADP
hassl-780	75	5	dakar	dakar	NOUN
hassl-780	75	6	neither	neither	CCONJ
hassl-780	75	7	female	female	ADJ
hassl-780	75	8	employment	employment	NOUN
hassl-780	75	9	nor	nor	CCONJ
hassl-780	75	10	human	human	ADJ
hassl-780	75	11	capital	capital	NOUN
hassl-780	75	12	has	have	VERB
hassl-780	75	13	a	a	DET
hassl-780	75	14	significant	significant	ADJ
hassl-780	75	15	effect	effect	NOUN
hassl-780	75	16	on	on	ADP
hassl-780	75	17	the	the	DET
hassl-780	75	18	likelihood	likelihood	NOUN
hassl-780	75	19	of	of	ADP
hassl-780	75	20	giving	give	VERB
hassl-780	75	21	birth	birth	NOUN
hassl-780	75	22	.	.	PUNCT
hassl-780	76	1	greater	great	ADJ
hassl-780	76	2	involvement	involvement	NOUN
hassl-780	76	3	of	of	ADP
hassl-780	76	4	women	woman	NOUN
hassl-780	76	5	in	in	ADP
hassl-780	76	6	the	the	DET
hassl-780	76	7	labour	labour	ADJ
hassl-780	76	8	force	force	NOUN
hassl-780	76	9	is	be	AUX
hassl-780	76	10	not	not	PART
hassl-780	76	11	the	the	DET
hassl-780	76	12	main	main	ADJ
hassl-780	76	13	reason	reason	NOUN
hassl-780	76	14	for	for	ADP
hassl-780	76	15	fertility	fertility	NOUN
hassl-780	76	16	decline	decline	NOUN
hassl-780	76	17	in	in	ADP
hassl-780	76	18	dakar	dakar	NOUN
hassl-780	76	19	.	.	PUNCT
hassl-780	77	1	contrarily	contrarily	ADV
hassl-780	77	2	,	,	PUNCT
hassl-780	77	3	education	education	NOUN
hassl-780	77	4	and	and	CCONJ
hassl-780	77	5	employment	employment	NOUN
hassl-780	77	6	hinder	hinder	NOUN
hassl-780	77	7	fertility	fertility	NOUN
hassl-780	77	8	significantly	significantly	ADV
hassl-780	77	9	in	in	ADP
hassl-780	77	10	lomé	lomé	NOUN
hassl-780	77	11	.	.	PUNCT
hassl-780	78	1	being	be	AUX
hassl-780	78	2	involved	involve	VERB
hassl-780	78	3	in	in	ADP
hassl-780	78	4	economic	economic	ADJ
hassl-780	78	5	activity	activity	NOUN
hassl-780	78	6	is	be	AUX
hassl-780	78	7	a	a	DET
hassl-780	78	8	real	real	ADJ
hassl-780	78	9	option	option	NOUN
hassl-780	78	10	and	and	CCONJ
hassl-780	78	11	can	can	AUX
hassl-780	78	12	therefore	therefore	ADV
hassl-780	78	13	impact	impact	VERB
hassl-780	78	14	upon	upon	SCONJ
hassl-780	78	15	their	their	PRON
hassl-780	78	16	reproductive	reproductive	ADJ
hassl-780	78	17	life	life	NOUN
hassl-780	78	18	.	.	PUNCT
hassl-780	79	1	solomon	solomon	PROPN
hassl-780	79	2	and	and	CCONJ
hassl-780	79	3	kimmel	kimmel	PROPN
hassl-780	79	4	(	(	PUNCT
hassl-780	79	5	2009	2009	NUM
hassl-780	79	6	)	)	PUNCT
hassl-780	79	7	tested	test	VERB
hassl-780	79	8	the	the	DET
hassl-780	79	9	inverse	inverse	NOUN
hassl-780	79	10	relationship	relationship	NOUN
hassl-780	79	11	between	between	ADP
hassl-780	79	12	fertility	fertility	NOUN
hassl-780	79	13	and	and	CCONJ
hassl-780	79	14	labour	labour	NOUN
hassl-780	79	15	force	force	NOUN
hassl-780	79	16	participation	participation	NOUN
hassl-780	79	17	of	of	ADP
hassl-780	79	18	women	woman	NOUN
hassl-780	79	19	in	in	ADP
hassl-780	79	20	ethiopia	ethiopia	PROPN
hassl-780	79	21	.	.	PUNCT
hassl-780	80	1	they	they	PRON
hassl-780	80	2	analysed	analyse	VERB
hassl-780	80	3	demographic	demographic	ADJ
hassl-780	80	4	and	and	CCONJ
hassl-780	80	5	health	health	NOUN
hassl-780	80	6	statistics	statistic	NOUN
hassl-780	80	7	data	datum	NOUN
hassl-780	80	8	using	use	VERB
hassl-780	80	9	two	two	NUM
hassl-780	80	10	stage	stage	NOUN
hassl-780	80	11	least	least	ADJ
hassl-780	80	12	squares	square	NOUN
hassl-780	80	13	.	.	PUNCT
hassl-780	81	1	they	they	PRON
hassl-780	81	2	found	find	VERB
hassl-780	81	3	that	that	SCONJ
hassl-780	81	4	inverse	inverse	NOUN
hassl-780	81	5	relationship	relationship	NOUN
hassl-780	81	6	does	do	AUX
hassl-780	81	7	not	not	PART
hassl-780	81	8	exist	exist	VERB
hassl-780	81	9	between	between	ADP
hassl-780	81	10	fertility	fertility	NOUN
hassl-780	81	11	and	and	CCONJ
hassl-780	81	12	labour	labour	NOUN
hassl-780	81	13	force	force	NOUN
hassl-780	81	14	participation	participation	NOUN
hassl-780	81	15	of	of	ADP
hassl-780	81	16	women	woman	NOUN
hassl-780	81	17	in	in	ADP
hassl-780	81	18	the	the	DET
hassl-780	81	19	country	country	NOUN
hassl-780	81	20	.	.	PUNCT
hassl-780	82	1	fehr	fehr	NOUN
hassl-780	82	2	and	and	CCONJ
hassl-780	82	3	ujhelyiova	ujhelyiova	NOUN
hassl-780	82	4	(	(	PUNCT
hassl-780	82	5	2010	2010	NUM
hassl-780	82	6	)	)	PUNCT
hassl-780	82	7	developed	develop	VERB
hassl-780	82	8	a	a	DET
hassl-780	82	9	general	general	ADJ
hassl-780	82	10	equilibrium	equilibrium	NOUN
hassl-780	82	11	model	model	NOUN
hassl-780	82	12	with	with	ADP
hassl-780	82	13	overlapping	overlap	VERB
hassl-780	82	14	generations	generation	NOUN
hassl-780	82	15	and	and	CCONJ
hassl-780	82	16	endogenous	endogenous	ADJ
hassl-780	82	17	fertility	fertility	NOUN
hassl-780	82	18	in	in	ADP
hassl-780	82	19	order	order	NOUN
hassl-780	82	20	to	to	PART
hassl-780	82	21	analyze	analyze	VERB
hassl-780	82	22	the	the	DET
hassl-780	82	23	interaction	interaction	NOUN
hassl-780	82	24	between	between	ADP
hassl-780	82	25	public	public	ADJ
hassl-780	82	26	policy	policy	NOUN
hassl-780	82	27	,	,	PUNCT
hassl-780	82	28	household	household	NOUN
hassl-780	82	29	labour	labour	NOUN
hassl-780	82	30	supply	supply	NOUN
hassl-780	82	31	and	and	CCONJ
hassl-780	82	32	fertility	fertility	NOUN
hassl-780	82	33	decisions	decision	NOUN
hassl-780	82	34	in	in	ADP
hassl-780	82	35	germany	germany	PROPN
hassl-780	82	36	.	.	PUNCT
hassl-780	83	1	they	they	PRON
hassl-780	83	2	used	use	VERB
hassl-780	83	3	simulations	simulation	NOUN
hassl-780	83	4	to	to	PART
hassl-780	83	5	analyse	analyse	VERB
hassl-780	83	6	panel	panel	NOUN
hassl-780	83	7	data	datum	NOUN
hassl-780	83	8	.	.	PUNCT
hassl-780	84	1	they	they	PRON
hassl-780	84	2	found	find	VERB
hassl-780	84	3	that	that	SCONJ
hassl-780	84	4	higher	high	ADJ
hassl-780	84	5	direct	direct	ADJ
hassl-780	84	6	or	or	CCONJ
hassl-780	84	7	indirect	indirect	ADJ
hassl-780	84	8	family	family	NOUN
hassl-780	84	9	benefits	benefit	NOUN
hassl-780	84	10	financed	finance	VERB
hassl-780	84	11	by	by	ADP
hassl-780	84	12	consumption	consumption	NOUN
hassl-780	84	13	taxation	taxation	NOUN
hassl-780	84	14	mainly	mainly	ADV
hassl-780	84	15	increase	increase	VERB
hassl-780	84	16	fertility	fertility	NOUN
hassl-780	84	17	and	and	CCONJ
hassl-780	84	18	welfare	welfare	NOUN
hassl-780	84	19	of	of	ADP
hassl-780	84	20	low	low	ADJ
hassl-780	84	21	-	-	PUNCT
hassl-780	84	22	skilled	skilled	ADJ
hassl-780	84	23	families	family	NOUN
hassl-780	84	24	while	while	SCONJ
hassl-780	84	25	high	high	ADJ
hassl-780	84	26	-	-	PUNCT
hassl-780	84	27	skilled	skilled	ADJ
hassl-780	84	28	families	family	NOUN
hassl-780	84	29	are	be	AUX
hassl-780	84	30	hurt	hurt	VERB
hassl-780	84	31	in	in	ADP
hassl-780	84	32	the	the	DET
hassl-780	84	33	long	long	ADJ
hassl-780	84	34	run	run	NOUN
hassl-780	84	35	.	.	PUNCT
hassl-780	85	1	ibáñez	ibáñez	NOUN
hassl-780	85	2	(	(	PUNCT
hassl-780	85	3	2010	2010	NUM
hassl-780	85	4	)	)	PUNCT
hassl-780	85	5	examined	examine	VERB
hassl-780	85	6	the	the	DET
hassl-780	85	7	effect	effect	NOUN
hassl-780	85	8	of	of	ADP
hassl-780	85	9	institution	institution	NOUN
hassl-780	85	10	,	,	PUNCT
hassl-780	85	11	reconciliation	reconciliation	NOUN
hassl-780	85	12	policy	policy	NOUN
hassl-780	85	13	,	,	PUNCT
hassl-780	85	14	and	and	CCONJ
hassl-780	85	15	female	female	ADJ
hassl-780	85	16	labour	labour	NOUN
hassl-780	85	17	force	force	NOUN
hassl-780	85	18	participation	participation	NOUN
hassl-780	85	19	on	on	ADP
hassl-780	85	20	fertility	fertility	NOUN
hassl-780	85	21	decisions	decision	NOUN
hassl-780	85	22	in	in	ADP
hassl-780	85	23	households	household	NOUN
hassl-780	85	24	in	in	ADP
hassl-780	85	25	spain	spain	PROPN
hassl-780	85	26	.	.	PUNCT
hassl-780	86	1	she	she	PRON
hassl-780	86	2	estimated	estimate	VERB
hassl-780	86	3	a	a	DET
hassl-780	86	4	multivariate	multivariate	NOUN
hassl-780	86	5	model	model	NOUN
hassl-780	86	6	of	of	ADP
hassl-780	86	7	proportional	proportional	ADJ
hassl-780	86	8	hazard	hazard	NOUN
hassl-780	86	9	using	use	VERB
hassl-780	86	10	micro	micro	PROPN
hassl-780	86	11	data	data	PROPN
hassl-780	86	12	.	.	PUNCT
hassl-780	87	1	the	the	DET
hassl-780	87	2	result	result	NOUN
hassl-780	87	3	is	be	AUX
hassl-780	87	4	inconclusive	inconclusive	ADJ
hassl-780	87	5	because	because	SCONJ
hassl-780	87	6	the	the	DET
hassl-780	87	7	hypothesis	hypothesis	NOUN
hassl-780	87	8	of	of	ADP
hassl-780	87	9	fertility	fertility	NOUN
hassl-780	87	10	positive	positive	ADJ
hassl-780	87	11	turn	turn	NOUN
hassl-780	87	12	was	be	AUX
hassl-780	87	13	not	not	PART
hassl-780	87	14	confirmed	confirm	VERB
hassl-780	87	15	directly	directly	ADV
hassl-780	87	16	for	for	ADP
hassl-780	87	17	cases	case	NOUN
hassl-780	87	18	with	with	ADP
hassl-780	87	19	a	a	DET
hassl-780	87	20	steadier	steady	ADJ
hassl-780	87	21	work	work	NOUN
hassl-780	87	22	status	status	NOUN
hassl-780	87	23	.	.	PUNCT
hassl-780	88	1	however	however	ADV
hassl-780	88	2	,	,	PUNCT
hassl-780	88	3	educational	educational	ADJ
hassl-780	88	4	level	level	NOUN
hassl-780	88	5	does	do	AUX
hassl-780	88	6	have	have	VERB
hassl-780	88	7	a	a	DET
hassl-780	88	8	continuous	continuous	ADJ
hassl-780	88	9	effect	effect	NOUN
hassl-780	88	10	,	,	PUNCT
hassl-780	88	11	that	that	ADV
hassl-780	88	12	is	is	ADV
hassl-780	88	13	,	,	PUNCT
hassl-780	88	14	women	woman	NOUN
hassl-780	88	15	with	with	ADP
hassl-780	88	16	university	university	NOUN
hassl-780	88	17	degrees	degree	NOUN
hassl-780	88	18	,	,	PUNCT
hassl-780	88	19	and	and	CCONJ
hassl-780	88	20	especially	especially	ADV
hassl-780	88	21	employed	employ	VERB
hassl-780	88	22	ones	one	NOUN
hassl-780	88	23	,	,	PUNCT
hassl-780	88	24	are	be	AUX
hassl-780	88	25	more	more	ADV
hassl-780	88	26	likely	likely	ADJ
hassl-780	88	27	to	to	PART
hassl-780	88	28	become	become	VERB
hassl-780	88	29	parents	parent	NOUN
hassl-780	88	30	.	.	PUNCT
hassl-780	89	1	huttunen	huttunen	NOUN
hassl-780	89	2	and	and	CCONJ
hassl-780	89	3	kellokumpu	kellokumpu	PROPN
hassl-780	89	4	(	(	PUNCT
hassl-780	89	5	2012	2012	NUM
hassl-780	89	6	)	)	PUNCT
hassl-780	89	7	analysed	analyse	VERB
hassl-780	89	8	the	the	DET
hassl-780	89	9	effects	effect	NOUN
hassl-780	89	10	of	of	ADP
hassl-780	89	11	job	job	NOUN
hassl-780	89	12	displacement	displacement	NOUN
hassl-780	89	13	(	(	PUNCT
hassl-780	89	14	both	both	CCONJ
hassl-780	89	15	male	male	ADJ
hassl-780	89	16	and	and	CCONJ
hassl-780	89	17	female	female	NOUN
hassl-780	89	18	)	)	PUNCT
hassl-780	89	19	on	on	ADP
hassl-780	89	20	fertility	fertility	NOUN
hassl-780	89	21	using	use	VERB
hassl-780	89	22	finnish	finnish	ADJ
hassl-780	89	23	longitudinal	longitudinal	ADJ
hassl-780	89	24	employer	employer	NOUN
hassl-780	89	25	-	-	PUNCT
hassl-780	89	26	employee	employee	NOUN
hassl-780	89	27	data	datum	NOUN
hassl-780	89	28	(	(	PUNCT
hassl-780	89	29	fleed	fleed	PROPN
hassl-780	89	30	)	)	PUNCT
hassl-780	89	31	.	.	PUNCT
hassl-780	90	1	they	they	PRON
hassl-780	90	2	found	find	VERB
hassl-780	90	3	that	that	PRON
hassl-780	90	4	woman	woman	NOUN
hassl-780	90	5	’s	’s	PART
hassl-780	90	6	own	own	ADJ
hassl-780	90	7	job	job	NOUN
hassl-780	90	8	loss	loss	NOUN
hassl-780	90	9	decreases	decrease	VERB
hassl-780	90	10	fertility	fertility	NOUN
hassl-780	90	11	mainly	mainly	ADV
hassl-780	90	12	for	for	ADP
hassl-780	90	13	highly	highly	ADV
hassl-780	90	14	educated	educate	VERB
hassl-780	90	15	women	woman	NOUN
hassl-780	90	16	.	.	PUNCT
hassl-780	91	1	for	for	ADP
hassl-780	91	2	every	every	DET
hassl-780	91	3	100	100	NUM
hassl-780	91	4	displaced	displace	VERB
hassl-780	91	5	females	female	NOUN
hassl-780	91	6	there	there	PRON
hassl-780	91	7	are	be	VERB
hassl-780	91	8	approximately	approximately	ADV
hassl-780	91	9	4	4	NUM
hassl-780	91	10	less	less	ADJ
hassl-780	91	11	children	child	NOUN
hassl-780	91	12	born	bear	VERB
hassl-780	91	13	.	.	PUNCT
hassl-780	92	1	male	male	ADJ
hassl-780	92	2	job	job	NOUN
hassl-780	92	3	loss	loss	NOUN
hassl-780	92	4	has	have	VERB
hassl-780	92	5	no	no	DET
hassl-780	92	6	significant	significant	ADJ
hassl-780	92	7	impact	impact	NOUN
hassl-780	92	8	on	on	ADP
hassl-780	92	9	completed	complete	VERB
hassl-780	92	10	fertility	fertility	NOUN
hassl-780	92	11	.	.	PUNCT
hassl-780	93	1	okpala	okpala	PROPN
hassl-780	93	2	(	(	PUNCT
hassl-780	93	3	1989	1989	NUM
hassl-780	93	4	)	)	PUNCT
hassl-780	93	5	examined	examine	VERB
hassl-780	93	6	the	the	DET
hassl-780	93	7	relationship	relationship	NOUN
hassl-780	93	8	between	between	ADP
hassl-780	93	9	labour	labour	NOUN
hassl-780	93	10	force	force	NOUN
hassl-780	93	11	participation	participation	NOUN
hassl-780	93	12	and	and	CCONJ
hassl-780	93	13	fertility	fertility	NOUN
hassl-780	93	14	in	in	ADP
hassl-780	93	15	an	an	DET
hassl-780	93	16	urban	urban	ADJ
hassl-780	93	17	centre	centre	NOUN
hassl-780	93	18	(	(	PUNCT
hassl-780	93	19	lagos	lagos	PROPN
hassl-780	93	20	,	,	PUNCT
hassl-780	93	21	nigeria	nigeria	PROPN
hassl-780	93	22	)	)	PUNCT
hassl-780	93	23	.	.	PUNCT
hassl-780	94	1	primary	primary	ADJ
hassl-780	94	2	data	datum	NOUN
hassl-780	94	3	were	be	AUX
hassl-780	94	4	collected	collect	VERB
hassl-780	94	5	from	from	ADP
hassl-780	94	6	three	three	NUM
hassl-780	94	7	categories	category	NOUN
hassl-780	94	8	of	of	ADP
hassl-780	94	9	women	woman	NOUN
hassl-780	94	10	(	(	PUNCT
hassl-780	94	11	civil	civil	ADJ
hassl-780	94	12	servants	servant	NOUN
hassl-780	94	13	,	,	PUNCT
hassl-780	94	14	self	self	NOUN
hassl-780	94	15	-	-	PUNCT
hassl-780	94	16	employed	employ	VERB
hassl-780	94	17	and	and	CCONJ
hassl-780	94	18	house	house	NOUN
hassl-780	94	19	wives	wife	NOUN
hassl-780	94	20	)	)	PUNCT
hassl-780	94	21	.	.	PUNCT
hassl-780	95	1	both	both	DET
hassl-780	95	2	descriptive	descriptive	ADJ
hassl-780	95	3	statistics	statistic	NOUN
hassl-780	95	4	and	and	CCONJ
hassl-780	95	5	ordinary	ordinary	ADJ
hassl-780	95	6	least	least	ADJ
hassl-780	95	7	square	square	NOUN
hassl-780	95	8	were	be	AUX
hassl-780	95	9	used	use	VERB
hassl-780	95	10	to	to	PART
hassl-780	95	11	test	test	VERB
hassl-780	95	12	the	the	DET
hassl-780	95	13	data	datum	NOUN
hassl-780	95	14	.	.	PUNCT
hassl-780	96	1	when	when	SCONJ
hassl-780	96	2	chi	chi	NOUN
hassl-780	96	3	-	-	PUNCT
hassl-780	96	4	squared	squared	PROPN
hassl-780	96	5	was	be	AUX
hassl-780	96	6	used	use	VERB
hassl-780	96	7	,	,	PUNCT
hassl-780	96	8	he	he	PRON
hassl-780	96	9	found	find	VERB
hassl-780	96	10	that	that	SCONJ
hassl-780	96	11	the	the	DET
hassl-780	96	12	fertility	fertility	NOUN
hassl-780	96	13	level	level	NOUN
hassl-780	96	14	of	of	ADP
hassl-780	96	15	civil	civil	ADJ
hassl-780	96	16	servants	servant	NOUN
hassl-780	96	17	is	be	AUX
hassl-780	96	18	lower	low	ADJ
hassl-780	96	19	than	than	ADP
hassl-780	96	20	that	that	PRON
hassl-780	96	21	of	of	ADP
hassl-780	96	22	businesswomen	businesswoman	NOUN
hassl-780	96	23	and	and	CCONJ
hassl-780	96	24	housewives	housewife	NOUN
hassl-780	96	25	.	.	PUNCT
hassl-780	97	1	also	also	ADV
hassl-780	97	2	,	,	PUNCT
hassl-780	97	3	not	not	PART
hassl-780	97	4	much	much	ADJ
hassl-780	97	5	difference	difference	NOUN
hassl-780	97	6	exists	exist	VERB
hassl-780	97	7	between	between	ADP
hassl-780	97	8	the	the	DET
hassl-780	97	9	fertility	fertility	NOUN
hassl-780	97	10	level	level	NOUN
hassl-780	97	11	of	of	ADP
hassl-780	97	12	businesswomen	businesswoman	NOUN
hassl-780	97	13	and	and	CCONJ
hassl-780	97	14	that	that	PRON
hassl-780	97	15	of	of	ADP
hassl-780	97	16	housewives	housewife	NOUN
hassl-780	97	17	.	.	PUNCT
hassl-780	98	1	when	when	SCONJ
hassl-780	98	2	ols	ol	NOUN
hassl-780	98	3	was	be	AUX
hassl-780	98	4	used	use	VERB
hassl-780	98	5	,	,	PUNCT
hassl-780	98	6	he	he	PRON
hassl-780	98	7	found	find	VERB
hassl-780	98	8	a	a	DET
hassl-780	98	9	significant	significant	ADJ
hassl-780	98	10	negative	negative	ADJ
hassl-780	98	11	relationship	relationship	NOUN
hassl-780	98	12	between	between	ADP
hassl-780	98	13	fertility	fertility	NOUN
hassl-780	98	14	and	and	CCONJ
hassl-780	98	15	female	female	ADJ
hassl-780	98	16	labour	labour	NOUN
hassl-780	98	17	force	force	NOUN
hassl-780	98	18	participation	participation	NOUN
hassl-780	98	19	among	among	ADP
hassl-780	98	20	civil	civil	ADJ
hassl-780	98	21	servants	servant	NOUN
hassl-780	98	22	.	.	PUNCT
hassl-780	99	1	among	among	ADP
hassl-780	99	2	self	self	NOUN
hassl-780	99	3	-	-	PUNCT
hassl-780	99	4	employed	employ	VERB
hassl-780	99	5	women	woman	NOUN
hassl-780	99	6	,	,	PUNCT
hassl-780	99	7	a	a	DET
hassl-780	99	8	negative	negative	ADJ
hassl-780	99	9	relationship	relationship	NOUN
hassl-780	99	10	still	still	ADV
hassl-780	99	11	exists	exist	VERB
hassl-780	99	12	but	but	CCONJ
hassl-780	99	13	it	it	PRON
hassl-780	99	14	is	be	AUX
hassl-780	99	15	insignificant	insignificant	ADJ
hassl-780	99	16	.	.	PUNCT
hassl-780	100	1	babalola	babalola	PROPN
hassl-780	100	2	and	and	CCONJ
hassl-780	100	3	akor	akor	PROPN
hassl-780	100	4	(	(	PUNCT
hassl-780	100	5	2013	2013	NUM
hassl-780	100	6	)	)	PUNCT
hassl-780	100	7	examined	examine	VERB
hassl-780	100	8	the	the	DET
hassl-780	100	9	factors	factor	NOUN
hassl-780	100	10	affecting	affect	VERB
hassl-780	100	11	labour	labour	NOUN
hassl-780	100	12	force	force	NOUN
hassl-780	100	13	participation	participation	NOUN
hassl-780	100	14	of	of	ADP
hassl-780	100	15	married	married	ADJ
hassl-780	100	16	women	woman	NOUN
hassl-780	100	17	within	within	ADP
hassl-780	100	18	the	the	DET
hassl-780	100	19	working	work	VERB
hassl-780	100	20	age	age	NOUN
hassl-780	100	21	(	(	PUNCT
hassl-780	100	22	18	18	NUM
hassl-780	100	23	-	-	SYM
hassl-780	100	24	60	60	NUM
hassl-780	100	25	)	)	PUNCT
hassl-780	100	26	in	in	ADP
hassl-780	100	27	adamawa	adamawa	PROPN
hassl-780	100	28	state	state	NOUN
hassl-780	100	29	.	.	PUNCT
hassl-780	101	1	the	the	DET
hassl-780	101	2	probit	probit	NOUN
hassl-780	101	3	model	model	NOUN
hassl-780	101	4	was	be	AUX
hassl-780	101	5	used	use	VERB
hassl-780	101	6	to	to	PART
hassl-780	101	7	analyse	analyse	VERB
hassl-780	101	8	observation	observation	NOUN
hassl-780	101	9	for	for	ADP
hassl-780	101	10	120	120	NUM
hassl-780	101	11	women	woman	NOUN
hassl-780	101	12	.	.	PUNCT
hassl-780	102	1	it	it	PRON
hassl-780	102	2	was	be	AUX
hassl-780	102	3	found	find	VERB
hassl-780	102	4	that	that	SCONJ
hassl-780	102	5	education	education	NOUN
hassl-780	102	6	has	have	VERB
hassl-780	102	7	positive	positive	ADJ
hassl-780	102	8	effect	effect	NOUN
hassl-780	102	9	on	on	ADP
hassl-780	102	10	female	female	ADJ
hassl-780	102	11	labour	labour	NOUN
hassl-780	102	12	force	force	NOUN
hassl-780	102	13	participation	participation	NOUN
hassl-780	102	14	while	while	SCONJ
hassl-780	102	15	husband	husband	NOUN
hassl-780	102	16	’s	’s	PART
hassl-780	102	17	employment	employment	NOUN
hassl-780	102	18	and	and	CCONJ
hassl-780	102	19	household	household	NOUN
hassl-780	102	20	size	size	NOUN
hassl-780	102	21	has	have	VERB
hassl-780	102	22	a	a	DET
hassl-780	102	23	negative	negative	ADJ
hassl-780	102	24	effect	effect	NOUN
hassl-780	102	25	on	on	ADP
hassl-780	102	26	female	female	ADJ
hassl-780	102	27	labour	labour	NOUN
hassl-780	102	28	force	force	NOUN
hassl-780	102	29	participation	participation	NOUN
hassl-780	102	30	.	.	PUNCT
hassl-780	103	1	3	3	X
hassl-780	103	2	.	.	X
hassl-780	103	3	data	datum	NOUN
hassl-780	103	4	and	and	CCONJ
hassl-780	103	5	analysis	analysis	NOUN
hassl-780	103	6	3.1	3.1	NUM
hassl-780	103	7	.	.	PUNCT
hassl-780	103	8	data	datum	NOUN
hassl-780	103	9	the	the	DET
hassl-780	103	10	target	target	NOUN
hassl-780	103	11	population	population	NOUN
hassl-780	103	12	are	be	AUX
hassl-780	103	13	married	married	ADJ
hassl-780	103	14	or	or	CCONJ
hassl-780	103	15	co	co	ADJ
hassl-780	103	16	-	-	ADJ
hassl-780	103	17	habiting	habiting	ADJ
hassl-780	103	18	women	woman	NOUN
hassl-780	103	19	who	who	PRON
hassl-780	103	20	are	be	AUX
hassl-780	103	21	within	within	ADP
hassl-780	103	22	the	the	DET
hassl-780	103	23	reproductive	reproductive	ADJ
hassl-780	103	24	ages	age	NOUN
hassl-780	103	25	in	in	ADP
hassl-780	103	26	the	the	DET
hassl-780	103	27	last	last	ADJ
hassl-780	103	28	12	12	NUM
hassl-780	103	29	months	month	NOUN
hassl-780	103	30	.	.	PUNCT
hassl-780	104	1	reproductive	reproductive	ADJ
hassl-780	104	2	age	age	NOUN
hassl-780	104	3	is	be	AUX
hassl-780	104	4	defined	define	VERB
hassl-780	104	5	as	as	ADP
hassl-780	104	6	ages	age	NOUN
hassl-780	104	7	15	15	NUM
hassl-780	104	8	to	to	PART
hassl-780	104	9	49	49	NUM
hassl-780	104	10	years	year	NOUN
hassl-780	104	11	following	follow	VERB
hassl-780	104	12	the	the	DET
hassl-780	104	13	classification	classification	NOUN
hassl-780	104	14	of	of	ADP
hassl-780	104	15	nbs	nbs	PROPN
hassl-780	104	16	(	(	PUNCT
hassl-780	104	17	2009	2009	NUM
hassl-780	104	18	)	)	PUNCT
hassl-780	104	19	.	.	PUNCT
hassl-780	105	1	these	these	DET
hassl-780	105	2	women	woman	NOUN
hassl-780	105	3	are	be	AUX
hassl-780	105	4	residing	reside	VERB
hassl-780	105	5	in	in	ADP
hassl-780	105	6	households	household	NOUN
hassl-780	105	7	located	locate	VERB
hassl-780	105	8	in	in	ADP
hassl-780	105	9	southwest	southwest	PROPN
hassl-780	105	10	nigeria	nigeria	PROPN
hassl-780	105	11	.	.	PUNCT
hassl-780	106	1	questionnaires	questionnaire	NOUN
hassl-780	106	2	were	be	AUX
hassl-780	106	3	administered	administer	VERB
hassl-780	106	4	to	to	ADP
hassl-780	106	5	600	600	NUM
hassl-780	106	6	households	household	NOUN
hassl-780	106	7	through	through	ADP
hassl-780	106	8	multistage	multistage	NOUN
hassl-780	106	9	sampling	sample	VERB
hassl-780	106	10	technique	technique	NOUN
hassl-780	106	11	.	.	PUNCT
hassl-780	107	1	after	after	ADP
hassl-780	107	2	removing	remove	VERB
hassl-780	107	3	the	the	DET
hassl-780	107	4	incomplete	incomplete	ADJ
hassl-780	107	5	,	,	PUNCT
hassl-780	107	6	we	we	PRON
hassl-780	107	7	were	be	AUX
hassl-780	107	8	able	able	ADJ
hassl-780	107	9	to	to	PART
hassl-780	107	10	recover	recover	VERB
hassl-780	107	11	514	514	NUM
hassl-780	107	12	questionnaires	questionnaire	NOUN
hassl-780	107	13	which	which	PRON
hassl-780	107	14	were	be	AUX
hassl-780	107	15	used	use	VERB
hassl-780	107	16	for	for	ADP
hassl-780	107	17	the	the	DET
hassl-780	107	18	analysis	analysis	NOUN
hassl-780	107	19	.	.	PUNCT
hassl-780	108	1	humanities	humanity	NOUN
hassl-780	108	2	and	and	CCONJ
hassl-780	108	3	social	social	ADJ
hassl-780	108	4	sciences	science	NOUN
hassl-780	108	5	letters	letter	NOUN
hassl-780	108	6	,	,	PUNCT
hassl-780	108	7	2016	2016	NUM
hassl-780	108	8	,	,	PUNCT
hassl-780	108	9	4(3	4(3	NUM
hassl-780	108	10	):	):	PUNCT
hassl-780	108	11	62	62	NUM
hassl-780	108	12	-	-	SYM
hassl-780	108	13	68	68	NUM
hassl-780	108	14	66	66	NUM
hassl-780	108	15	©	©	PROPN
hassl-780	108	16	2016	2016	NUM
hassl-780	108	17	conscientia	conscientia	PROPN
hassl-780	108	18	beam	beam	PROPN
hassl-780	108	19	.	.	PUNCT
hassl-780	109	1	all	all	DET
hassl-780	109	2	rights	right	NOUN
hassl-780	109	3	reserved	reserve	VERB
hassl-780	109	4	3.2	3.2	NUM
hassl-780	109	5	.	.	PUNCT
hassl-780	110	1	data	datum	NOUN
hassl-780	110	2	analyses	analysis	NOUN
hassl-780	110	3	in	in	ADP
hassl-780	110	4	order	order	NOUN
hassl-780	110	5	to	to	PART
hassl-780	110	6	model	model	VERB
hassl-780	110	7	the	the	DET
hassl-780	110	8	simultaneity	simultaneity	NOUN
hassl-780	110	9	among	among	ADP
hassl-780	110	10	household	household	NOUN
hassl-780	110	11	consumption	consumption	NOUN
hassl-780	110	12	,	,	PUNCT
hassl-780	110	13	female	female	ADJ
hassl-780	110	14	employment	employment	NOUN
hassl-780	110	15	and	and	CCONJ
hassl-780	110	16	fertility	fertility	NOUN
hassl-780	110	17	decisions	decision	NOUN
hassl-780	110	18	,	,	PUNCT
hassl-780	110	19	the	the	DET
hassl-780	110	20	study	study	NOUN
hassl-780	110	21	adapted	adapt	VERB
hassl-780	110	22	the	the	DET
hassl-780	110	23	work	work	NOUN
hassl-780	110	24	of	of	ADP
hassl-780	110	25	ahmed	ahmed	PROPN
hassl-780	110	26	and	and	CCONJ
hassl-780	110	27	mosley	mosley	PROPN
hassl-780	110	28	(	(	PUNCT
hassl-780	110	29	1997	1997	NUM
hassl-780	110	30	)	)	PUNCT
hassl-780	110	31	which	which	PRON
hassl-780	110	32	employed	employ	VERB
hassl-780	110	33	linear	linear	PROPN
hassl-780	110	34	structural	structural	ADJ
hassl-780	110	35	relations	relation	NOUN
hassl-780	110	36	models	model	NOUN
hassl-780	110	37	(	(	PUNCT
hassl-780	110	38	lisrel	lisrel	NOUN
hassl-780	110	39	)	)	PUNCT
hassl-780	110	40	in	in	ADP
hassl-780	110	41	line	line	NOUN
hassl-780	110	42	with	with	ADP
hassl-780	110	43	the	the	DET
hassl-780	110	44	work	work	NOUN
hassl-780	110	45	of	of	ADP
hassl-780	110	46	joreskog	joreskog	NOUN
hassl-780	110	47	and	and	CCONJ
hassl-780	110	48	sorbom	sorbom	NOUN
hassl-780	110	49	(	(	PUNCT
hassl-780	110	50	1989	1989	NUM
hassl-780	110	51	)	)	PUNCT
hassl-780	110	52	using	use	VERB
hassl-780	110	53	latent	latent	NOUN
hassl-780	110	54	endogenous	endogenous	ADJ
hassl-780	110	55	and	and	CCONJ
hassl-780	110	56	exogenous	exogenous	ADJ
hassl-780	110	57	variables	variable	NOUN
hassl-780	110	58	.	.	PUNCT
hassl-780	111	1	in	in	ADP
hassl-780	111	2	this	this	DET
hassl-780	111	3	study	study	NOUN
hassl-780	111	4	,	,	PUNCT
hassl-780	111	5	we	we	PRON
hassl-780	111	6	hypothesized	hypothesize	VERB
hassl-780	111	7	three	three	NUM
hassl-780	111	8	outcome	outcome	NOUN
hassl-780	111	9	variables	variable	NOUN
hassl-780	111	10	,	,	PUNCT
hassl-780	111	11	household	household	NOUN
hassl-780	111	12	consumption	consumption	NOUN
hassl-780	111	13	(	(	PUNCT
hassl-780	111	14	c	c	NOUN
hassl-780	111	15	)	)	PUNCT
hassl-780	111	16	,	,	PUNCT
hassl-780	111	17	female	female	ADJ
hassl-780	111	18	employment	employment	NOUN
hassl-780	111	19	(	(	PUNCT
hassl-780	111	20	p	p	NOUN
hassl-780	111	21	)	)	PUNCT
hassl-780	111	22	and	and	CCONJ
hassl-780	111	23	fertility	fertility	NOUN
hassl-780	111	24	decisions	decision	NOUN
hassl-780	111	25	(	(	PUNCT
hassl-780	111	26	i	i	NOUN
hassl-780	111	27	d	d	PROPN
hassl-780	111	28	)	)	PUNCT
hassl-780	111	29	,	,	PUNCT
hassl-780	111	30	are	be	AUX
hassl-780	111	31	interrelated	interrelated	ADJ
hassl-780	111	32	and	and	CCONJ
hassl-780	111	33	simultaneously	simultaneously	ADV
hassl-780	111	34	determined	determine	VERB
hassl-780	111	35	(	(	PUNCT
hassl-780	111	36	simultaneity	simultaneity	NOUN
hassl-780	111	37	)	)	PUNCT
hassl-780	111	38	.	.	PUNCT
hassl-780	112	1	the	the	DET
hassl-780	112	2	study	study	NOUN
hassl-780	112	3	therefore	therefore	ADV
hassl-780	112	4	postulated	postulate	VERB
hassl-780	112	5	that	that	SCONJ
hassl-780	112	6	the	the	DET
hassl-780	112	7	three	three	NUM
hassl-780	112	8	variables	variable	NOUN
hassl-780	112	9	are	be	AUX
hassl-780	112	10	simultaneously	simultaneously	ADV
hassl-780	112	11	determined	determine	VERB
hassl-780	112	12	by	by	ADP
hassl-780	112	13	certain	certain	ADJ
hassl-780	112	14	exogenous	exogenous	ADJ
hassl-780	112	15	variables	variable	NOUN
hassl-780	112	16	(	(	PUNCT
hassl-780	112	17	covariates	covariate	NOUN
hassl-780	112	18	)	)	PUNCT
hassl-780	112	19	as	as	SCONJ
hassl-780	112	20	specified	specify	VERB
hassl-780	112	21	in	in	ADP
hassl-780	112	22	the	the	DET
hassl-780	112	23	model	model	NOUN
hassl-780	112	24	below	below	ADP
hassl-780	112	25	:	:	PUNCT
hassl-780	112	26	1114131211	1114131211	NUM
hassl-780	112	27	)	)	PUNCT
hassl-780	112	28	(	(	PUNCT
hassl-780	112	29			PROPN
hassl-780	112	30			NOUN
hassl-780	112	31	iznpce	iznpce	NOUN
hassl-780	112	32	1	1	NUM
hassl-780	112	33	2124232221	2124232221	NUM
hassl-780	112	34	)	)	PUNCT
hassl-780	112	35	(	(	PUNCT
hassl-780	112	36	vzpcne	vzpcne	NOUN
hassl-780	112	37	i	i	PRON
hassl-780	112	38			VERB
hassl-780	112	39			X
hassl-780	112	40	2	2	NUM
hassl-780	112	41	3134332331	3134332331	NUM
hassl-780	112	42	)	)	PUNCT
hassl-780	112	43	(	(	PUNCT
hassl-780	112	44	uzcnpe	uzcnpe	NOUN
hassl-780	112	45	i	i	PRON
hassl-780	112	46			VERB
hassl-780	112	47			X
hassl-780	112	48	3	3	NUM
hassl-780	112	49	where	where	SCONJ
hassl-780	112	50	,	,	PUNCT
hassl-780	112	51	is	be	AUX
hassl-780	112	52	the	the	DET
hassl-780	112	53	expectation	expectation	NOUN
hassl-780	112	54	operator	operator	NOUN
hassl-780	112	55	,	,	PUNCT
hassl-780	112	56	c	c	PROPN
hassl-780	112	57	is	be	AUX
hassl-780	112	58	consumption	consumption	NOUN
hassl-780	112	59	(	(	PUNCT
hassl-780	112	60	measured	measure	VERB
hassl-780	112	61	by	by	ADP
hassl-780	112	62	household	household	NOUN
hassl-780	112	63	allocation	allocation	NOUN
hassl-780	112	64	to	to	ADP
hassl-780	112	65	consumer	consumer	NOUN
hassl-780	112	66	goods	good	NOUN
hassl-780	112	67	)	)	PUNCT
hassl-780	112	68	,	,	PUNCT
hassl-780	112	69	n	n	PRON
hassl-780	112	70	represents	represent	VERB
hassl-780	112	71	fertility	fertility	NOUN
hassl-780	112	72	decision	decision	NOUN
hassl-780	112	73	proxy	proxy	NOUN
hassl-780	112	74	by	by	ADP
hassl-780	112	75	number	number	NOUN
hassl-780	112	76	of	of	ADP
hassl-780	112	77	children	child	NOUN
hassl-780	112	78	ever	ever	ADV
hassl-780	112	79	born	bear	VERB
hassl-780	112	80	,	,	PUNCT
hassl-780	112	81	p	p	NOUN
hassl-780	112	82	is	be	AUX
hassl-780	112	83	the	the	DET
hassl-780	112	84	employment	employment	NOUN
hassl-780	112	85	status	status	NOUN
hassl-780	112	86	of	of	ADP
hassl-780	112	87	the	the	DET
hassl-780	112	88	woman	woman	NOUN
hassl-780	112	89	,	,	PUNCT
hassl-780	112	90	iz	iz	ADJ
hassl-780	112	91	is	be	AUX
hassl-780	112	92	a	a	DET
hassl-780	112	93	set	set	NOUN
hassl-780	112	94	of	of	ADP
hassl-780	112	95	control	control	NOUN
hassl-780	112	96	variables	variable	NOUN
hassl-780	112	97	like	like	ADP
hassl-780	112	98	household	household	NOUN
hassl-780	112	99	income	income	NOUN
hassl-780	112	100	,	,	PUNCT
hassl-780	112	101	education	education	NOUN
hassl-780	112	102	status	status	NOUN
hassl-780	112	103	of	of	ADP
hassl-780	112	104	women	woman	NOUN
hassl-780	112	105	and	and	CCONJ
hassl-780	112	106	age	age	NOUN
hassl-780	112	107	of	of	ADP
hassl-780	112	108	the	the	DET
hassl-780	112	109	woman	woman	NOUN
hassl-780	112	110	4	4	NUM
hassl-780	112	111	.	.	PUNCT
hassl-780	112	112	result	result	VERB
hassl-780	112	113	the	the	DET
hassl-780	112	114	result	result	NOUN
hassl-780	112	115	is	be	AUX
hassl-780	112	116	displayed	display	VERB
hassl-780	112	117	in	in	ADP
hassl-780	112	118	table	table	NOUN
hassl-780	112	119	2	2	NUM
hassl-780	112	120	below	below	ADV
hassl-780	112	121	.	.	PUNCT
hassl-780	113	1	as	as	SCONJ
hassl-780	113	2	evidenced	evidence	VERB
hassl-780	113	3	by	by	ADP
hassl-780	113	4	the	the	DET
hassl-780	113	5	z	z	PROPN
hassl-780	113	6	-	-	NOUN
hassl-780	113	7	statistic	statistic	ADJ
hassl-780	113	8	,	,	PUNCT
hassl-780	113	9	household	household	NOUN
hassl-780	113	10	consumption	consumption	NOUN
hassl-780	113	11	is	be	AUX
hassl-780	113	12	caused	cause	VERB
hassl-780	113	13	by	by	ADP
hassl-780	113	14	fertility	fertility	NOUN
hassl-780	113	15	decision	decision	NOUN
hassl-780	113	16	,	,	PUNCT
hassl-780	113	17	female	female	ADJ
hassl-780	113	18	employment	employment	NOUN
hassl-780	113	19	,	,	PUNCT
hassl-780	113	20	income	income	NOUN
hassl-780	113	21	and	and	CCONJ
hassl-780	113	22	education	education	NOUN
hassl-780	113	23	;	;	PUNCT
hassl-780	113	24	age	age	NOUN
hassl-780	113	25	of	of	ADP
hassl-780	113	26	the	the	DET
hassl-780	113	27	woman	woman	NOUN
hassl-780	113	28	does	do	AUX
hassl-780	113	29	not	not	PART
hassl-780	113	30	determine	determine	VERB
hassl-780	113	31	the	the	DET
hassl-780	113	32	level	level	NOUN
hassl-780	113	33	of	of	ADP
hassl-780	113	34	household	household	NOUN
hassl-780	113	35	consumption	consumption	NOUN
hassl-780	113	36	.	.	PUNCT
hassl-780	114	1	fertility	fertility	NOUN
hassl-780	114	2	decision	decision	NOUN
hassl-780	114	3	had	have	VERB
hassl-780	114	4	a	a	DET
hassl-780	114	5	positive	positive	ADJ
hassl-780	114	6	and	and	CCONJ
hassl-780	114	7	statistically	statistically	ADV
hassl-780	114	8	significant	significant	ADJ
hassl-780	114	9	relationship	relationship	NOUN
hassl-780	114	10	with	with	ADP
hassl-780	114	11	household	household	NOUN
hassl-780	114	12	consumption	consumption	NOUN
hassl-780	114	13	decision	decision	NOUN
hassl-780	114	14	;	;	PUNCT
hassl-780	114	15	the	the	PRON
hassl-780	114	16	higher	high	ADJ
hassl-780	114	17	the	the	DET
hassl-780	114	18	number	number	NOUN
hassl-780	114	19	of	of	ADP
hassl-780	114	20	children	child	NOUN
hassl-780	114	21	ever	ever	ADV
hassl-780	114	22	born	bear	VERB
hassl-780	114	23	the	the	DET
hassl-780	114	24	higher	high	ADJ
hassl-780	114	25	the	the	DET
hassl-780	114	26	household	household	NOUN
hassl-780	114	27	spends	spend	VERB
hassl-780	114	28	on	on	ADP
hassl-780	114	29	consumer	consumer	NOUN
hassl-780	114	30	goods	good	NOUN
hassl-780	114	31	.	.	PUNCT
hassl-780	115	1	contrarily	contrarily	ADV
hassl-780	115	2	,	,	PUNCT
hassl-780	115	3	female	female	ADJ
hassl-780	115	4	employment	employment	NOUN
hassl-780	115	5	decreases	decrease	VERB
hassl-780	115	6	household	household	NOUN
hassl-780	115	7	consumption	consumption	NOUN
hassl-780	115	8	and	and	CCONJ
hassl-780	115	9	it	it	PRON
hassl-780	115	10	is	be	AUX
hassl-780	115	11	statistically	statistically	ADV
hassl-780	115	12	significant	significant	ADJ
hassl-780	115	13	at	at	ADP
hassl-780	115	14	5	5	NUM
hassl-780	115	15	%	%	NOUN
hassl-780	115	16	.	.	PUNCT
hassl-780	116	1	income	income	NOUN
hassl-780	116	2	of	of	ADP
hassl-780	116	3	the	the	DET
hassl-780	116	4	woman	woman	NOUN
hassl-780	116	5	had	have	VERB
hassl-780	116	6	a	a	DET
hassl-780	116	7	positive	positive	ADJ
hassl-780	116	8	and	and	CCONJ
hassl-780	116	9	statistically	statistically	ADV
hassl-780	116	10	significant	significant	ADJ
hassl-780	116	11	effect	effect	NOUN
hassl-780	116	12	on	on	ADP
hassl-780	116	13	household	household	NOUN
hassl-780	116	14	consumption	consumption	NOUN
hassl-780	116	15	;	;	PUNCT
hassl-780	116	16	the	the	PRON
hassl-780	116	17	higher	high	ADJ
hassl-780	116	18	the	the	DET
hassl-780	116	19	woman	woman	NOUN
hassl-780	116	20	’s	’s	PART
hassl-780	116	21	income	income	NOUN
hassl-780	116	22	,	,	PUNCT
hassl-780	116	23	the	the	PRON
hassl-780	116	24	higher	high	ADJ
hassl-780	116	25	the	the	DET
hassl-780	116	26	household	household	NOUN
hassl-780	116	27	consumption	consumption	NOUN
hassl-780	116	28	.	.	PUNCT
hassl-780	117	1	educational	educational	ADJ
hassl-780	117	2	attainment	attainment	NOUN
hassl-780	117	3	of	of	ADP
hassl-780	117	4	the	the	DET
hassl-780	117	5	woman	woman	NOUN
hassl-780	117	6	increases	increase	VERB
hassl-780	117	7	household	household	NOUN
hassl-780	117	8	consumption	consumption	NOUN
hassl-780	117	9	and	and	CCONJ
hassl-780	117	10	it	it	PRON
hassl-780	117	11	is	be	AUX
hassl-780	117	12	statistically	statistically	ADV
hassl-780	117	13	significant	significant	ADJ
hassl-780	117	14	at	at	ADP
hassl-780	117	15	5	5	NUM
hassl-780	117	16	%	%	NOUN
hassl-780	117	17	.	.	PUNCT
hassl-780	118	1	table-2	table-2	NUM
hassl-780	118	2	.	.	PUNCT
hassl-780	118	3	structural	structural	ADJ
hassl-780	118	4	equation	equation	NOUN
hassl-780	118	5	model	model	NOUN
hassl-780	118	6	result	result	PROPN
hassl-780	118	7	.	.	PUNCT
hassl-780	119	1	coefficient	coefficient	NOUN
hassl-780	119	2	standard	standard	ADJ
hassl-780	119	3	error	error	NOUN
hassl-780	119	4	z	z	NOUN
hassl-780	119	5	-	-	PUNCT
hassl-780	119	6	statistic	statistic	ADJ
hassl-780	119	7	zprob	zprob	NOUN
hassl-780	119	8	.	.	PUNCT
hassl-780	120	1	model	model	PROPN
hassl-780	120	2	1	1	NUM
hassl-780	120	3	:	:	PUNCT
hassl-780	120	4	n	n	PROPN
hassl-780	120	5	12105.24	12105.24	NUM
hassl-780	121	1	3513.023	3513.023	NUM
hassl-780	121	2	3.45	3.45	NUM
hassl-780	121	3	*	*	SYM
hassl-780	121	4	0.001	0.001	NUM
hassl-780	121	5	p	p	PROPN
hassl-780	121	6	-22962.75	-22962.75	PROPN
hassl-780	121	7	5138.337	5138.337	PROPN
hassl-780	121	8	-4.47	-4.47	PROPN
hassl-780	121	9	*	*	PROPN
hassl-780	121	10	0.000	0.000	NUM
hassl-780	121	11	incom	incom	NOUN
hassl-780	121	12	0.6668913	0.6668913	NUM
hassl-780	121	13	0.611898	0.611898	NUM
hassl-780	121	14	10.90	10.90	NUM
hassl-780	121	15	*	*	SYM
hassl-780	121	16	0.000	0.000	NUM
hassl-780	121	17	educ	educ	VERB
hassl-780	121	18	9027.596	9027.596	NUM
hassl-780	121	19	1440.914	1440.914	NUM
hassl-780	121	20	6.27	6.27	NUM
hassl-780	121	21	*	*	SYM
hassl-780	121	22	0.000	0.000	NUM
hassl-780	121	23	age	age	NOUN
hassl-780	121	24	-168.8024	-168.8024	ADP
hassl-780	121	25	357.5823	357.5823	NUM
hassl-780	121	26	-0.47	-0.47	DET
hassl-780	121	27	0.637	0.637	NUM
hassl-780	121	28	c	c	NOUN
hassl-780	121	29	244428.56	244428.56	NUM
hassl-780	121	30	13127.24	13127.24	NUM
hassl-780	121	31	1.86	1.86	NUM
hassl-780	121	32	0.063	0.063	NUM
hassl-780	121	33	source	source	NOUN
hassl-780	121	34	:	:	PUNCT
hassl-780	121	35	author	author	NOUN
hassl-780	121	36	’s	’s	PART
hassl-780	121	37	computation	computation	NOUN
hassl-780	121	38	(	(	PUNCT
hassl-780	121	39	2015	2015	NUM
hassl-780	121	40	)	)	PUNCT
hassl-780	121	41	table-3	table-3	NUM
hassl-780	121	42	.	.	PUNCT
hassl-780	121	43	correlation	correlation	NOUN
hassl-780	121	44	and	and	CCONJ
hassl-780	121	45	covariance	covariance	NOUN
hassl-780	121	46	matrices	matrix	NOUN
hassl-780	121	47	correlation	correlation	NOUN
hassl-780	121	48	coefficient	coefficient	NOUN
hassl-780	121	49	matrix	matrix	NOUN
hassl-780	121	50	covariance	covariance	NOUN
hassl-780	121	51	matrix	matrix	NOUN
hassl-780	121	52	consump	consump	NOUN
hassl-780	121	53	fertl	fertl	PROPN
hassl-780	121	54	fempl	fempl	NOUN
hassl-780	121	55	consump	consump	VERB
hassl-780	121	56	fertl	fertl	PROPN
hassl-780	121	57	fempl	fempl	NOUN
hassl-780	121	58	consump	consump	VERB
hassl-780	121	59	1.0000	1.0000	NUM
hassl-780	121	60	consump	consump	NOUN
hassl-780	121	61	3.15e+09	3.15e+09	NUM
hassl-780	121	62	fertl	fertl	NOUN
hassl-780	121	63	-0.0175	-0.0175	NOUN
hassl-780	121	64	1.0000	1.0000	NUM
hassl-780	121	65	fertl	fertl	NOUN
hassl-780	121	66	6739.239	6739.239	NUM
hassl-780	121	67	1.39215	1.39215	NUM
hassl-780	121	68	fempl	fempl	NOUN
hassl-780	121	69	0.3377	0.3377	NUM
hassl-780	121	70	0.4475	0.4475	NUM
hassl-780	121	71	1.0000	1.0000	NUM
hassl-780	121	72	fempl	fempl	NOUN
hassl-780	121	73	18781.21	18781.21	NUM
hassl-780	121	74	0.21775	0.21775	NUM
hassl-780	121	75	1.097064	1.097064	NUM
hassl-780	121	76	source	source	NOUN
hassl-780	121	77	:	:	PUNCT
hassl-780	121	78	author	author	NOUN
hassl-780	121	79	’s	’s	PART
hassl-780	121	80	computation	computation	NOUN
hassl-780	121	81	(	(	PUNCT
hassl-780	121	82	2015	2015	NUM
hassl-780	121	83	)	)	PUNCT
hassl-780	121	84	humanities	humanity	NOUN
hassl-780	121	85	and	and	CCONJ
hassl-780	121	86	social	social	ADJ
hassl-780	121	87	sciences	science	NOUN
hassl-780	121	88	letters	letter	NOUN
hassl-780	121	89	,	,	PUNCT
hassl-780	121	90	2016	2016	NUM
hassl-780	121	91	,	,	PUNCT
hassl-780	121	92	4(3	4(3	NUM
hassl-780	121	93	):	):	PUNCT
hassl-780	121	94	62	62	NUM
hassl-780	121	95	-	-	SYM
hassl-780	121	96	68	68	NUM
hassl-780	121	97	67	67	NUM
hassl-780	121	98	©	©	PROPN
hassl-780	121	99	2016	2016	NUM
hassl-780	121	100	conscientia	conscientia	PROPN
hassl-780	121	101	beam	beam	PROPN
hassl-780	121	102	.	.	PUNCT
hassl-780	122	1	all	all	DET
hassl-780	122	2	rights	right	NOUN
hassl-780	122	3	reserved	reserve	VERB
hassl-780	122	4	the	the	DET
hassl-780	122	5	latent	latent	NOUN
hassl-780	122	6	endogenous	endogenous	ADJ
hassl-780	122	7	variables	variable	NOUN
hassl-780	122	8	fertility	fertility	NOUN
hassl-780	122	9	decision	decision	NOUN
hassl-780	122	10	and	and	CCONJ
hassl-780	122	11	female	female	ADJ
hassl-780	122	12	employment	employment	NOUN
hassl-780	122	13	both	both	PRON
hassl-780	122	14	influences	influence	VERB
hassl-780	122	15	household	household	NOUN
hassl-780	122	16	consumption	consumption	NOUN
hassl-780	122	17	.	.	PUNCT
hassl-780	123	1	fertility	fertility	NOUN
hassl-780	123	2	decisions	decision	NOUN
hassl-780	123	3	increases	increase	VERB
hassl-780	123	4	household	household	NOUN
hassl-780	123	5	consumption	consumption	NOUN
hassl-780	123	6	in	in	ADP
hassl-780	123	7	south	south	ADJ
hassl-780	123	8	western	western	PROPN
hassl-780	123	9	nigeria	nigeria	PROPN
hassl-780	123	10	;	;	PUNCT
hassl-780	123	11	this	this	PRON
hassl-780	123	12	is	be	AUX
hassl-780	123	13	in	in	ADP
hassl-780	123	14	conformity	conformity	NOUN
hassl-780	123	15	with	with	ADP
hassl-780	123	16	the	the	DET
hassl-780	123	17	life	life	NOUN
hassl-780	123	18	cycle	cycle	NOUN
hassl-780	123	19	theory	theory	NOUN
hassl-780	123	20	.	.	PUNCT
hassl-780	124	1	the	the	DET
hassl-780	124	2	presence	presence	NOUN
hassl-780	124	3	of	of	ADP
hassl-780	124	4	children	child	NOUN
hassl-780	124	5	or	or	CCONJ
hassl-780	124	6	higher	high	ADJ
hassl-780	124	7	order	order	NOUN
hassl-780	124	8	of	of	ADP
hassl-780	124	9	birth	birth	NOUN
hassl-780	124	10	could	could	AUX
hassl-780	124	11	increase	increase	VERB
hassl-780	124	12	household	household	NOUN
hassl-780	124	13	consumption	consumption	NOUN
hassl-780	124	14	in	in	ADP
hassl-780	124	15	relation	relation	NOUN
hassl-780	124	16	to	to	PART
hassl-780	124	17	income	income	NOUN
hassl-780	124	18	blundell	blundell	PROPN
hassl-780	124	19	et	et	PROPN
hassl-780	124	20	al	al	PROPN
hassl-780	124	21	.	.	PROPN
hassl-780	125	1	(	(	PUNCT
hassl-780	125	2	1994	1994	NUM
hassl-780	125	3	)	)	PUNCT
hassl-780	125	4	.	.	PUNCT
hassl-780	126	1	at	at	ADP
hassl-780	126	2	the	the	DET
hassl-780	126	3	same	same	ADJ
hassl-780	126	4	time	time	NOUN
hassl-780	126	5	,	,	PUNCT
hassl-780	126	6	female	female	ADJ
hassl-780	126	7	employment	employment	NOUN
hassl-780	126	8	has	have	VERB
hassl-780	126	9	a	a	DET
hassl-780	126	10	negative	negative	ADJ
hassl-780	126	11	effect	effect	NOUN
hassl-780	126	12	on	on	ADP
hassl-780	126	13	household	household	NOUN
hassl-780	126	14	consumption	consumption	NOUN
hassl-780	126	15	;	;	PUNCT
hassl-780	126	16	this	this	PRON
hassl-780	126	17	is	be	AUX
hassl-780	126	18	in	in	ADP
hassl-780	126	19	conformity	conformity	NOUN
hassl-780	126	20	with	with	ADP
hassl-780	126	21	the	the	DET
hassl-780	126	22	work	work	NOUN
hassl-780	126	23	of	of	ADP
hassl-780	126	24	ueda	ueda	PROPN
hassl-780	126	25	(	(	PUNCT
hassl-780	126	26	2004	2004	NUM
hassl-780	126	27	)	)	PUNCT
hassl-780	126	28	.	.	PUNCT
hassl-780	127	1	female	female	ADJ
hassl-780	127	2	employment	employment	NOUN
hassl-780	127	3	causes	cause	VERB
hassl-780	127	4	a	a	DET
hassl-780	127	5	reduction	reduction	NOUN
hassl-780	127	6	in	in	ADP
hassl-780	127	7	hours	hour	NOUN
hassl-780	127	8	spent	spend	VERB
hassl-780	127	9	on	on	ADP
hassl-780	127	10	leisure	leisure	NOUN
hassl-780	127	11	;	;	PUNCT
hassl-780	127	12	therefore	therefore	ADV
hassl-780	127	13	,	,	PUNCT
hassl-780	127	14	household	household	NOUN
hassl-780	127	15	spending	spending	NOUN
hassl-780	127	16	on	on	ADP
hassl-780	127	17	such	such	ADJ
hassl-780	127	18	goods	good	NOUN
hassl-780	127	19	will	will	AUX
hassl-780	127	20	be	be	AUX
hassl-780	127	21	reduced	reduce	VERB
hassl-780	127	22	.	.	PUNCT
hassl-780	128	1	in	in	ADP
hassl-780	128	2	reality	reality	NOUN
hassl-780	128	3	,	,	PUNCT
hassl-780	128	4	households	household	NOUN
hassl-780	128	5	with	with	ADP
hassl-780	128	6	working	work	VERB
hassl-780	128	7	women	woman	NOUN
hassl-780	128	8	spends	spend	VERB
hassl-780	128	9	lesser	less	ADJ
hassl-780	128	10	time	time	NOUN
hassl-780	128	11	on	on	ADP
hassl-780	128	12	activities	activity	NOUN
hassl-780	128	13	like	like	ADP
hassl-780	128	14	watching	watch	VERB
hassl-780	128	15	television	television	NOUN
hassl-780	128	16	,	,	PUNCT
hassl-780	128	17	visiting	visit	VERB
hassl-780	128	18	and	and	CCONJ
hassl-780	128	19	receiving	receive	VERB
hassl-780	128	20	visitors	visitor	NOUN
hassl-780	128	21	,	,	PUNCT
hassl-780	128	22	social	social	ADJ
hassl-780	128	23	media	medium	NOUN
hassl-780	128	24	etc	etc	X
hassl-780	128	25	.	.	X
hassl-780	129	1	this	this	PRON
hassl-780	129	2	in	in	ADP
hassl-780	129	3	turn	turn	NOUN
hassl-780	129	4	saves	save	VERB
hassl-780	129	5	household	household	NOUN
hassl-780	129	6	spending	spending	NOUN
hassl-780	129	7	(	(	PUNCT
hassl-780	129	8	though	though	SCONJ
hassl-780	129	9	at	at	ADP
hassl-780	129	10	times	time	NOUN
hassl-780	129	11	it	it	PRON
hassl-780	129	12	may	may	AUX
hassl-780	129	13	be	be	AUX
hassl-780	129	14	minimal	minimal	ADJ
hassl-780	129	15	)	)	PUNCT
hassl-780	129	16	on	on	ADP
hassl-780	129	17	electricity	electricity	NOUN
hassl-780	129	18	and	and	CCONJ
hassl-780	129	19	telecommunication	telecommunication	NOUN
hassl-780	129	20	bills	bill	NOUN
hassl-780	129	21	,	,	PUNCT
hassl-780	129	22	fuel	fuel	NOUN
hassl-780	129	23	for	for	ADP
hassl-780	129	24	generator	generator	NOUN
hassl-780	129	25	,	,	PUNCT
hassl-780	129	26	food	food	NOUN
hassl-780	129	27	items	item	NOUN
hassl-780	129	28	etc	etc	X
hassl-780	129	29	.	.	X
hassl-780	130	1	also	also	ADV
hassl-780	130	2	,	,	PUNCT
hassl-780	130	3	a	a	DET
hassl-780	130	4	rise	rise	NOUN
hassl-780	130	5	in	in	ADP
hassl-780	130	6	female	female	ADJ
hassl-780	130	7	income	income	NOUN
hassl-780	130	8	increases	increase	VERB
hassl-780	130	9	consumption	consumption	NOUN
hassl-780	130	10	of	of	ADP
hassl-780	130	11	the	the	DET
hassl-780	130	12	household	household	NOUN
hassl-780	130	13	in	in	ADP
hassl-780	130	14	south	south	ADJ
hassl-780	130	15	western	western	PROPN
hassl-780	130	16	nigeria	nigeria	PROPN
hassl-780	130	17	,	,	PUNCT
hassl-780	130	18	this	this	PRON
hassl-780	130	19	is	be	AUX
hassl-780	130	20	in	in	ADP
hassl-780	130	21	conformity	conformity	NOUN
hassl-780	130	22	with	with	ADP
hassl-780	130	23	the	the	DET
hassl-780	130	24	findings	finding	NOUN
hassl-780	130	25	of	of	ADP
hassl-780	130	26	carrasco	carrasco	PROPN
hassl-780	130	27	and	and	CCONJ
hassl-780	130	28	zamora	zamora	PROPN
hassl-780	130	29	(	(	PUNCT
hassl-780	130	30	2010	2010	NUM
hassl-780	130	31	)	)	PUNCT
hassl-780	130	32	.	.	PUNCT
hassl-780	131	1	the	the	PRON
hassl-780	131	2	higher	high	ADJ
hassl-780	131	3	the	the	DET
hassl-780	131	4	income	income	NOUN
hassl-780	131	5	of	of	ADP
hassl-780	131	6	a	a	DET
hassl-780	131	7	woman	woman	NOUN
hassl-780	131	8	,	,	PUNCT
hassl-780	131	9	the	the	DET
hassl-780	131	10	higher	high	ADJ
hassl-780	131	11	will	will	AUX
hassl-780	131	12	be	be	AUX
hassl-780	131	13	the	the	DET
hassl-780	131	14	allocation	allocation	NOUN
hassl-780	131	15	of	of	ADP
hassl-780	131	16	household	household	NOUN
hassl-780	131	17	on	on	ADP
hassl-780	131	18	consumer	consumer	NOUN
hassl-780	131	19	goods	good	NOUN
hassl-780	131	20	(	(	PUNCT
hassl-780	131	21	especially	especially	ADV
hassl-780	131	22	on	on	ADP
hassl-780	131	23	quality	quality	NOUN
hassl-780	131	24	rather	rather	ADV
hassl-780	131	25	than	than	ADP
hassl-780	131	26	quantity	quantity	NOUN
hassl-780	131	27	)	)	PUNCT
hassl-780	131	28	.	.	PUNCT
hassl-780	132	1	furthermore	furthermore	ADV
hassl-780	132	2	,	,	PUNCT
hassl-780	132	3	households	household	NOUN
hassl-780	132	4	that	that	PRON
hassl-780	132	5	have	have	VERB
hassl-780	132	6	women	woman	NOUN
hassl-780	132	7	with	with	ADP
hassl-780	132	8	better	well	ADJ
hassl-780	132	9	educational	educational	ADJ
hassl-780	132	10	attainment	attainment	NOUN
hassl-780	132	11	spend	spend	VERB
hassl-780	132	12	more	more	ADJ
hassl-780	132	13	on	on	ADP
hassl-780	132	14	consumer	consumer	NOUN
hassl-780	132	15	goods	good	NOUN
hassl-780	132	16	than	than	ADP
hassl-780	132	17	households	household	NOUN
hassl-780	132	18	with	with	ADP
hassl-780	132	19	less	less	ADV
hassl-780	132	20	educated	educated	ADJ
hassl-780	132	21	women	woman	NOUN
hassl-780	132	22	in	in	ADP
hassl-780	132	23	south	south	ADJ
hassl-780	132	24	western	western	PROPN
hassl-780	132	25	nigeria	nigeria	PROPN
hassl-780	132	26	.	.	PUNCT
hassl-780	133	1	education	education	NOUN
hassl-780	133	2	can	can	AUX
hassl-780	133	3	be	be	AUX
hassl-780	133	4	a	a	DET
hassl-780	133	5	driver	driver	NOUN
hassl-780	133	6	for	for	ADP
hassl-780	133	7	quality	quality	NOUN
hassl-780	133	8	rather	rather	ADV
hassl-780	133	9	than	than	ADP
hassl-780	133	10	quantity	quantity	NOUN
hassl-780	133	11	spending	spending	NOUN
hassl-780	133	12	in	in	ADP
hassl-780	133	13	households	household	NOUN
hassl-780	133	14	.	.	PUNCT
hassl-780	134	1	for	for	ADP
hassl-780	134	2	example	example	NOUN
hassl-780	134	3	,	,	PUNCT
hassl-780	134	4	households	household	NOUN
hassl-780	134	5	with	with	ADP
hassl-780	134	6	better	well	ADJ
hassl-780	134	7	educated	educate	VERB
hassl-780	134	8	women	woman	NOUN
hassl-780	134	9	warily	warily	ADV
hassl-780	134	10	choose	choose	VERB
hassl-780	134	11	their	their	PRON
hassl-780	134	12	children	child	NOUN
hassl-780	134	13	schools	school	NOUN
hassl-780	134	14	(	(	PUNCT
hassl-780	134	15	not	not	PART
hassl-780	134	16	minding	mind	VERB
hassl-780	134	17	expensive	expensive	ADJ
hassl-780	134	18	fees	fee	NOUN
hassl-780	134	19	)	)	PUNCT
hassl-780	134	20	,	,	PUNCT
hassl-780	134	21	buys	buy	VERB
hassl-780	134	22	quality	quality	NOUN
hassl-780	134	23	clothing	clothing	NOUN
hassl-780	134	24	and	and	CCONJ
hassl-780	134	25	footwear	footwear	NOUN
hassl-780	134	26	etc	etc	X
hassl-780	134	27	.	.	PUNCT
hassl-780	135	1	the	the	DET
hassl-780	135	2	correlation	correlation	NOUN
hassl-780	135	3	and	and	CCONJ
hassl-780	135	4	covariance	covariance	NOUN
hassl-780	135	5	matrix	matrix	NOUN
hassl-780	135	6	is	be	AUX
hassl-780	135	7	displayed	display	VERB
hassl-780	135	8	in	in	ADP
hassl-780	135	9	table	table	NOUN
hassl-780	135	10	3	3	NUM
hassl-780	135	11	below	below	ADV
hassl-780	135	12	.	.	PUNCT
hassl-780	136	1	household	household	NOUN
hassl-780	136	2	consumption	consumption	NOUN
hassl-780	136	3	and	and	CCONJ
hassl-780	136	4	fertility	fertility	NOUN
hassl-780	136	5	decisions	decision	NOUN
hassl-780	136	6	vary	vary	VERB
hassl-780	136	7	together	together	ADV
hassl-780	136	8	positively	positively	ADV
hassl-780	136	9	with	with	ADP
hassl-780	136	10	the	the	DET
hassl-780	136	11	value	value	NOUN
hassl-780	136	12	of	of	ADP
hassl-780	136	13	6739.239	6739.239	NUM
hassl-780	136	14	and	and	CCONJ
hassl-780	136	15	they	they	PRON
hassl-780	136	16	are	be	AUX
hassl-780	136	17	linearly	linearly	ADV
hassl-780	136	18	associated	associate	VERB
hassl-780	136	19	.	.	PUNCT
hassl-780	137	1	this	this	PRON
hassl-780	137	2	is	be	AUX
hassl-780	137	3	in	in	ADP
hassl-780	137	4	conformity	conformity	NOUN
hassl-780	137	5	with	with	ADP
hassl-780	137	6	the	the	DET
hassl-780	137	7	theory	theory	NOUN
hassl-780	137	8	;	;	PUNCT
hassl-780	137	9	household	household	NOUN
hassl-780	137	10	consumption	consumption	NOUN
hassl-780	137	11	is	be	AUX
hassl-780	137	12	expected	expect	VERB
hassl-780	137	13	to	to	PART
hassl-780	137	14	rise	rise	VERB
hassl-780	137	15	as	as	SCONJ
hassl-780	137	16	fertility	fertility	NOUN
hassl-780	137	17	decision	decision	NOUN
hassl-780	137	18	rises	rise	NOUN
hassl-780	137	19	.	.	PUNCT
hassl-780	138	1	contrarily	contrarily	ADV
hassl-780	138	2	,	,	PUNCT
hassl-780	138	3	the	the	DET
hassl-780	138	4	correlation	correlation	NOUN
hassl-780	138	5	coefficient	coefficient	NOUN
hassl-780	138	6	(	(	PUNCT
hassl-780	138	7	-0.0175	-0.0175	PROPN
hassl-780	138	8	)	)	PUNCT
hassl-780	138	9	revealed	reveal	VERB
hassl-780	138	10	a	a	DET
hassl-780	138	11	negative	negative	ADJ
hassl-780	138	12	association	association	NOUN
hassl-780	138	13	between	between	ADP
hassl-780	138	14	household	household	NOUN
hassl-780	138	15	consumption	consumption	NOUN
hassl-780	138	16	and	and	CCONJ
hassl-780	138	17	fertility	fertility	NOUN
hassl-780	138	18	decision	decision	NOUN
hassl-780	138	19	.	.	PUNCT
hassl-780	139	1	5	5	X
hassl-780	139	2	.	.	X
hassl-780	139	3	conclusion	conclusion	NOUN
hassl-780	139	4	in	in	ADP
hassl-780	139	5	south	south	PROPN
hassl-780	139	6	-	-	PUNCT
hassl-780	139	7	west	west	PROPN
hassl-780	139	8	nigeria	nigeria	PROPN
hassl-780	139	9	,	,	PUNCT
hassl-780	139	10	it	it	PRON
hassl-780	139	11	is	be	AUX
hassl-780	139	12	evident	evident	ADJ
hassl-780	139	13	that	that	DET
hassl-780	139	14	presence	presence	NOUN
hassl-780	139	15	of	of	ADP
hassl-780	139	16	children	child	NOUN
hassl-780	139	17	in	in	ADP
hassl-780	139	18	households	household	NOUN
hassl-780	139	19	increase	increase	VERB
hassl-780	139	20	consumption	consumption	NOUN
hassl-780	139	21	while	while	SCONJ
hassl-780	139	22	female	female	ADJ
hassl-780	139	23	employment	employment	NOUN
hassl-780	139	24	reduces	reduce	VERB
hassl-780	139	25	it	it	PRON
hassl-780	139	26	reduces	reduce	VERB
hassl-780	139	27	consumption	consumption	NOUN
hassl-780	139	28	in	in	ADP
hassl-780	139	29	households	household	NOUN
hassl-780	139	30	.	.	PUNCT
hassl-780	140	1	also	also	ADV
hassl-780	140	2	,	,	PUNCT
hassl-780	140	3	household	household	NOUN
hassl-780	140	4	income	income	NOUN
hassl-780	140	5	and	and	CCONJ
hassl-780	140	6	consumption	consumption	NOUN
hassl-780	140	7	has	have	VERB
hassl-780	140	8	a	a	DET
hassl-780	140	9	direct	direct	ADJ
hassl-780	140	10	relationship	relationship	NOUN
hassl-780	140	11	in	in	ADP
hassl-780	140	12	south	south	NOUN
hassl-780	140	13	-	-	PUNCT
hassl-780	140	14	west	west	PROPN
hassl-780	140	15	nigeria	nigeria	PROPN
hassl-780	140	16	.	.	PUNCT
hassl-780	141	1	funding	funding	NOUN
hassl-780	141	2	:	:	PUNCT
hassl-780	141	3	this	this	DET
hassl-780	141	4	study	study	NOUN
hassl-780	141	5	received	receive	VERB
hassl-780	141	6	no	no	DET
hassl-780	141	7	specific	specific	ADJ
hassl-780	141	8	financial	financial	ADJ
hassl-780	141	9	support	support	NOUN
hassl-780	141	10	.	.	PUNCT
hassl-780	142	1	competing	compete	VERB
hassl-780	142	2	interests	interest	NOUN
hassl-780	142	3	:	:	PUNCT
hassl-780	142	4	the	the	DET
hassl-780	142	5	authors	author	NOUN
hassl-780	142	6	declare	declare	VERB
hassl-780	142	7	that	that	SCONJ
hassl-780	142	8	they	they	PRON
hassl-780	142	9	have	have	VERB
hassl-780	142	10	no	no	DET
hassl-780	142	11	competing	compete	VERB
hassl-780	142	12	interests	interest	NOUN
hassl-780	142	13	.	.	PUNCT
hassl-780	143	1	contributors	contributor	NOUN
hassl-780	143	2	/	/	SYM
hassl-780	143	3	acknowledgement	acknowledgement	NOUN
hassl-780	143	4	:	:	PUNCT
hassl-780	143	5	all	all	DET
hassl-780	143	6	authors	author	NOUN
hassl-780	143	7	contributed	contribute	VERB
hassl-780	143	8	equally	equally	ADV
hassl-780	143	9	to	to	ADP
hassl-780	143	10	the	the	DET
hassl-780	143	11	conception	conception	NOUN
hassl-780	143	12	and	and	CCONJ
hassl-780	143	13	design	design	NOUN
hassl-780	143	14	of	of	ADP
hassl-780	143	15	the	the	DET
hassl-780	143	16	study	study	NOUN
hassl-780	143	17	.	.	PUNCT
hassl-780	144	1	references	reference	NOUN
hassl-780	144	2	adda	adda	PROPN
hassl-780	144	3	,	,	PUNCT
hassl-780	144	4	j.	j.	PROPN
hassl-780	144	5	,	,	PUNCT
hassl-780	144	6	c.	c.	PROPN
hassl-780	144	7	dustman	dustman	PROPN
hassl-780	144	8	and	and	CCONJ
hassl-780	144	9	k.	k.	PROPN
hassl-780	144	10	stephens	stephens	PROPN
hassl-780	144	11	,	,	PUNCT
hassl-780	144	12	1991	1991	NUM
hassl-780	144	13	.	.	PUNCT
hassl-780	145	1	the	the	DET
hassl-780	145	2	career	career	NOUN
hassl-780	145	3	cost	cost	NOUN
hassl-780	145	4	of	of	ADP
hassl-780	145	5	children	child	NOUN
hassl-780	145	6	.	.	PUNCT
hassl-780	146	1	iza	iza	PROPN
hassl-780	146	2	discussion	discussion	PROPN
hassl-780	146	3	paper	paper	PROPN
hassl-780	146	4	no	no	INTJ
hassl-780	146	5	.	.	PUNCT
hassl-780	147	1	6201	6201	NUM
hassl-780	147	2	.	.	PUNCT
hassl-780	148	1	adieri	adieri	PROPN
hassl-780	148	2	,	,	PUNCT
hassl-780	148	3	l.	l.	PROPN
hassl-780	148	4	and	and	CCONJ
hassl-780	148	5	c.	c.	PROPN
hassl-780	148	6	vinci	vinci	PROPN
hassl-780	148	7	,	,	PUNCT
hassl-780	148	8	2012	2012	NUM
hassl-780	148	9	.	.	PUNCT
hassl-780	149	1	an	an	DET
hassl-780	149	2	investigation	investigation	NOUN
hassl-780	149	3	of	of	ADP
hassl-780	149	4	the	the	DET
hassl-780	149	5	relation	relation	NOUN
hassl-780	149	6	between	between	ADP
hassl-780	149	7	the	the	DET
hassl-780	149	8	number	number	NOUN
hassl-780	149	9	of	of	ADP
hassl-780	149	10	children	child	NOUN
hassl-780	149	11	and	and	CCONJ
hassl-780	149	12	education	education	NOUN
hassl-780	149	13	in	in	ADP
hassl-780	149	14	italy	italy	PROPN
hassl-780	149	15	.	.	PUNCT
hassl-780	150	1	international	international	ADJ
hassl-780	150	2	journal	journal	PROPN
hassl-780	150	3	of	of	ADP
hassl-780	150	4	social	social	ADJ
hassl-780	150	5	economics	economic	NOUN
hassl-780	150	6	,	,	PUNCT
hassl-780	150	7	39(4	39(4	NUM
hassl-780	150	8	):	):	PUNCT
hassl-780	150	9	254	254	NUM
hassl-780	150	10	-	-	SYM
hassl-780	150	11	263	263	NUM
hassl-780	150	12	.	.	PUNCT
hassl-780	151	1	ahmed	ahmed	PROPN
hassl-780	151	2	,	,	PUNCT
hassl-780	151	3	s.	s.	PROPN
hassl-780	151	4	and	and	CCONJ
hassl-780	151	5	h.	h.	PROPN
hassl-780	151	6	mosley	mosley	PROPN
hassl-780	151	7	,	,	PUNCT
hassl-780	151	8	1997	1997	NUM
hassl-780	151	9	.	.	PUNCT
hassl-780	152	1	simultaneity	simultaneity	NOUN
hassl-780	152	2	in	in	ADP
hassl-780	152	3	maternal	maternal	ADJ
hassl-780	152	4	child	child	NOUN
hassl-780	152	5	health	health	NOUN
hassl-780	152	6	care	care	NOUN
hassl-780	152	7	utilization	utilization	NOUN
hassl-780	152	8	and	and	CCONJ
hassl-780	152	9	contraceptive	contraceptive	ADJ
hassl-780	152	10	use	use	NOUN
hassl-780	152	11	:	:	PUNCT
hassl-780	152	12	evidence	evidence	NOUN
hassl-780	152	13	from	from	ADP
hassl-780	152	14	developing	develop	VERB
hassl-780	152	15	countries	country	NOUN
hassl-780	152	16	.	.	PUNCT
hassl-780	153	1	hopkins	hopkins	PROPN
hassl-780	153	2	population	population	PROPN
hassl-780	153	3	centre	centre	PROPN
hassl-780	153	4	,	,	PUNCT
hassl-780	153	5	working	working	NOUN
hassl-780	153	6	paper	paper	NOUN
hassl-780	153	7	no	no	INTJ
hassl-780	153	8	.	.	PROPN
hassl-780	154	1	97	97	NUM
hassl-780	154	2	-	-	SYM
hassl-780	154	3	03	03	NUM
hassl-780	154	4	.	.	PUNCT
hassl-780	155	1	babalola	babalola	PROPN
hassl-780	155	2	,	,	PUNCT
hassl-780	155	3	j.	j.	PROPN
hassl-780	155	4	and	and	CCONJ
hassl-780	155	5	m.	m.	PROPN
hassl-780	155	6	akor	akor	PROPN
hassl-780	155	7	,	,	PUNCT
hassl-780	155	8	2013	2013	NUM
hassl-780	155	9	.	.	PUNCT
hassl-780	156	1	an	an	DET
hassl-780	156	2	empirical	empirical	ADJ
hassl-780	156	3	analysis	analysis	NOUN
hassl-780	156	4	of	of	ADP
hassl-780	156	5	labour	labour	ADJ
hassl-780	156	6	force	force	NOUN
hassl-780	156	7	participation	participation	NOUN
hassl-780	156	8	of	of	ADP
hassl-780	156	9	married	married	ADJ
hassl-780	156	10	women	woman	NOUN
hassl-780	156	11	in	in	ADP
hassl-780	156	12	adamawa	adamawa	PROPN
hassl-780	156	13	state	state	PROPN
hassl-780	156	14	,	,	PUNCT
hassl-780	156	15	nigeria	nigeria	PROPN
hassl-780	156	16	.	.	PUNCT
hassl-780	157	1	journal	journal	PROPN
hassl-780	157	2	of	of	ADP
hassl-780	157	3	emerging	emerge	VERB
hassl-780	157	4	trends	trend	NOUN
hassl-780	157	5	in	in	ADP
hassl-780	157	6	economics	economic	NOUN
hassl-780	157	7	and	and	CCONJ
hassl-780	157	8	management	management	NOUN
hassl-780	157	9	sciences	science	NOUN
hassl-780	157	10	,	,	PUNCT
hassl-780	157	11	4(1	4(1	NOUN
hassl-780	157	12	):	):	PUNCT
hassl-780	157	13	1	1	NUM
hassl-780	157	14	-	-	SYM
hassl-780	157	15	7	7	NUM
hassl-780	157	16	.	.	PUNCT
hassl-780	158	1	beguy	beguy	NOUN
hassl-780	158	2	,	,	PUNCT
hassl-780	158	3	d.	d.	PROPN
hassl-780	158	4	,	,	PUNCT
hassl-780	158	5	2009	2009	NUM
hassl-780	158	6	.	.	PUNCT
hassl-780	159	1	the	the	DET
hassl-780	159	2	impact	impact	NOUN
hassl-780	159	3	of	of	ADP
hassl-780	159	4	female	female	ADJ
hassl-780	159	5	employment	employment	NOUN
hassl-780	159	6	on	on	ADP
hassl-780	159	7	fertility	fertility	NOUN
hassl-780	159	8	in	in	ADP
hassl-780	159	9	dakar	dakar	NOUN
hassl-780	159	10	(	(	PUNCT
hassl-780	159	11	senegal	senegal	ADJ
hassl-780	159	12	)	)	PUNCT
hassl-780	159	13	and	and	CCONJ
hassl-780	159	14	lomé	lomé	ADJ
hassl-780	159	15	.	.	PUNCT
hassl-780	160	1	demographic	demographic	ADJ
hassl-780	160	2	research	research	NOUN
hassl-780	160	3	,	,	PUNCT
hassl-780	160	4	20(7	20(7	NUM
hassl-780	160	5	):	):	PUNCT
hassl-780	160	6	97128	97128	NUM
hassl-780	160	7	.	.	PUNCT
hassl-780	161	1	bhalotra	bhalotra	PROPN
hassl-780	161	2	,	,	PUNCT
hassl-780	161	3	s.	s.	PROPN
hassl-780	161	4	and	and	CCONJ
hassl-780	161	5	m.	m.	NOUN
hassl-780	161	6	umaña	umaña	PROPN
hassl-780	161	7	-	-	PUNCT
hassl-780	161	8	aponte	aponte	PROPN
hassl-780	161	9	,	,	PUNCT
hassl-780	161	10	2012	2012	NUM
hassl-780	161	11	.	.	PUNCT
hassl-780	162	1	women	woman	NOUN
hassl-780	162	2	’s	’s	PART
hassl-780	162	3	labour	labour	NOUN
hassl-780	162	4	supply	supply	NOUN
hassl-780	162	5	and	and	CCONJ
hassl-780	162	6	household	household	NOUN
hassl-780	162	7	insurance	insurance	NOUN
hassl-780	162	8	in	in	ADP
hassl-780	162	9	africa	africa	PROPN
hassl-780	162	10	.	.	PUNCT
hassl-780	163	1	unu	unu	PROPN
hassl-780	163	2	world	world	PROPN
hassl-780	163	3	institute	institute	PROPN
hassl-780	163	4	for	for	ADP
hassl-780	163	5	development	development	NOUN
hassl-780	163	6	economics	economic	NOUN
hassl-780	163	7	research	research	NOUN
hassl-780	163	8	,	,	PUNCT
hassl-780	163	9	working	work	VERB
hassl-780	163	10	paper	paper	NOUN
hassl-780	163	11	no	no	INTJ
hassl-780	163	12	.	.	PUNCT
hassl-780	164	1	2012/66	2012/66	NUM
hassl-780	164	2	.	.	PUNCT
hassl-780	165	1	blundell	blundell	PROPN
hassl-780	165	2	,	,	PUNCT
hassl-780	165	3	r.	r.	PROPN
hassl-780	165	4	,	,	PUNCT
hassl-780	165	5	m.	m.	NOUN
hassl-780	165	6	browning	browning	NOUN
hassl-780	165	7	and	and	CCONJ
hassl-780	165	8	c.	c.	PROPN
hassl-780	165	9	meghir	meghir	NOUN
hassl-780	165	10	,	,	PUNCT
hassl-780	165	11	1994	1994	NUM
hassl-780	165	12	.	.	PUNCT
hassl-780	166	1	consumer	consumer	NOUN
hassl-780	166	2	demand	demand	NOUN
hassl-780	166	3	and	and	CCONJ
hassl-780	166	4	the	the	DET
hassl-780	166	5	life	life	NOUN
hassl-780	166	6	-	-	PUNCT
hassl-780	166	7	cycle	cycle	NOUN
hassl-780	166	8	allocation	allocation	NOUN
hassl-780	166	9	of	of	ADP
hassl-780	166	10	household	household	NOUN
hassl-780	166	11	expenditures	expenditure	NOUN
hassl-780	166	12	.	.	PUNCT
hassl-780	167	1	review	review	NOUN
hassl-780	167	2	of	of	ADP
hassl-780	167	3	economic	economic	ADJ
hassl-780	167	4	studies	study	NOUN
hassl-780	167	5	,	,	PUNCT
hassl-780	167	6	61(1	61(1	NOUN
hassl-780	167	7	):	):	PUNCT
hassl-780	167	8	57	57	NUM
hassl-780	167	9	-	-	SYM
hassl-780	167	10	80	80	NUM
hassl-780	167	11	.	.	PUNCT
hassl-780	168	1	browning	browning	NOUN
hassl-780	168	2	,	,	PUNCT
hassl-780	168	3	m.	m.	NOUN
hassl-780	168	4	and	and	CCONJ
hassl-780	168	5	m.	m.	NOUN
hassl-780	168	6	ejrnaes	ejrnaes	PROPN
hassl-780	168	7	,	,	PUNCT
hassl-780	168	8	2002	2002	NUM
hassl-780	168	9	.	.	PUNCT
hassl-780	169	1	consumption	consumption	NOUN
hassl-780	169	2	and	and	CCONJ
hassl-780	169	3	children	child	NOUN
hassl-780	169	4	.	.	PUNCT
hassl-780	170	1	review	review	NOUN
hassl-780	170	2	of	of	ADP
hassl-780	170	3	economics	economic	NOUN
hassl-780	170	4	and	and	CCONJ
hassl-780	170	5	statistics	statistic	NOUN
hassl-780	170	6	,	,	PUNCT
hassl-780	170	7	91(1	91(1	NUM
hassl-780	170	8	):	):	PUNCT
hassl-780	170	9	93	93	NUM
hassl-780	170	10	-	-	SYM
hassl-780	170	11	111	111	NUM
hassl-780	170	12	.	.	PUNCT
hassl-780	171	1	humanities	humanity	NOUN
hassl-780	171	2	and	and	CCONJ
hassl-780	171	3	social	social	ADJ
hassl-780	171	4	sciences	science	NOUN
hassl-780	171	5	letters	letter	NOUN
hassl-780	171	6	,	,	PUNCT
hassl-780	171	7	2016	2016	NUM
hassl-780	171	8	,	,	PUNCT
hassl-780	171	9	4(3	4(3	NUM
hassl-780	171	10	):	):	PUNCT
hassl-780	171	11	62	62	NUM
hassl-780	171	12	-	-	SYM
hassl-780	171	13	68	68	NUM
hassl-780	171	14	68	68	NUM
hassl-780	171	15	©	©	PROPN
hassl-780	171	16	2016	2016	NUM
hassl-780	171	17	conscientia	conscientia	PROPN
hassl-780	171	18	beam	beam	PROPN
hassl-780	171	19	.	.	PUNCT
hassl-780	172	1	all	all	DET
hassl-780	172	2	rights	right	NOUN
hassl-780	172	3	reserved	reserved	PROPN
hassl-780	172	4	carrasco	carrasco	PROPN
hassl-780	172	5	,	,	PUNCT
hassl-780	172	6	r.	r.	PROPN
hassl-780	172	7	and	and	CCONJ
hassl-780	172	8	b.	b.	PROPN
hassl-780	172	9	zamora	zamora	PROPN
hassl-780	172	10	,	,	PUNCT
hassl-780	172	11	2010	2010	NUM
hassl-780	172	12	.	.	PUNCT
hassl-780	173	1	estimating	estimate	VERB
hassl-780	173	2	the	the	DET
hassl-780	173	3	effect	effect	NOUN
hassl-780	173	4	of	of	ADP
hassl-780	173	5	female	female	ADJ
hassl-780	173	6	participation	participation	NOUN
hassl-780	173	7	on	on	ADP
hassl-780	173	8	household	household	NOUN
hassl-780	173	9	consumption	consumption	NOUN
hassl-780	173	10	.	.	PUNCT
hassl-780	174	1	deaton	deaton	PROPN
hassl-780	174	2	,	,	PUNCT
hassl-780	174	3	a.	a.	PROPN
hassl-780	174	4	,	,	PUNCT
hassl-780	174	5	1991	1991	NUM
hassl-780	174	6	.	.	PUNCT
hassl-780	175	1	saving	saving	NOUN
hassl-780	175	2	and	and	CCONJ
hassl-780	175	3	liquidity	liquidity	NOUN
hassl-780	175	4	constrains	constrain	NOUN
hassl-780	175	5	.	.	PUNCT
hassl-780	176	1	econometrica	econometrica	PROPN
hassl-780	176	2	,	,	PUNCT
hassl-780	176	3	59(5	59(5	NUM
hassl-780	176	4	):	):	PUNCT
hassl-780	176	5	1221	1221	NUM
hassl-780	176	6	-	-	SYM
hassl-780	176	7	1248	1248	NUM
hassl-780	176	8	.	.	PUNCT
hassl-780	177	1	fehr	fehr	NOUN
hassl-780	177	2	,	,	PUNCT
hassl-780	177	3	h.	h.	PROPN
hassl-780	177	4	and	and	CCONJ
hassl-780	177	5	d.	d.	PROPN
hassl-780	177	6	ujhelyiova	ujhelyiova	PROPN
hassl-780	177	7	,	,	PUNCT
hassl-780	177	8	2010	2010	NUM
hassl-780	177	9	.	.	PUNCT
hassl-780	178	1	fertility	fertility	NOUN
hassl-780	178	2	,	,	PUNCT
hassl-780	178	3	female	female	ADJ
hassl-780	178	4	labor	labor	NOUN
hassl-780	178	5	supply	supply	NOUN
hassl-780	178	6	,	,	PUNCT
hassl-780	178	7	and	and	CCONJ
hassl-780	178	8	family	family	NOUN
hassl-780	178	9	policy	policy	NOUN
hassl-780	178	10	.	.	PUNCT
hassl-780	179	1	oep	oep	PROPN
hassl-780	179	2	papers	paper	NOUN
hassl-780	179	3	on	on	ADP
hassl-780	179	4	multidisciplinary	multidisciplinary	ADJ
hassl-780	179	5	panel	panel	NOUN
hassl-780	179	6	data	datum	NOUN
hassl-780	179	7	research	research	NOUN
hassl-780	179	8	,	,	PUNCT
hassl-780	179	9	working	work	VERB
hassl-780	179	10	paper	paper	NOUN
hassl-780	179	11	no	no	INTJ
hassl-780	179	12	.	.	PUNCT
hassl-780	180	1	331	331	NUM
hassl-780	180	2	.	.	PUNCT
hassl-780	181	1	gete	gete	NOUN
hassl-780	181	2	,	,	PUNCT
hassl-780	181	3	p.	p.	NOUN
hassl-780	181	4	and	and	CCONJ
hassl-780	181	5	p.	p.	PROPN
hassl-780	181	6	porchia	porchia	PROPN
hassl-780	181	7	,	,	PUNCT
hassl-780	181	8	2011	2011	NUM
hassl-780	181	9	.	.	PUNCT
hassl-780	182	1	fertility	fertility	NOUN
hassl-780	182	2	and	and	CCONJ
hassl-780	182	3	consumption	consumption	NOUN
hassl-780	182	4	,	,	PUNCT
hassl-780	182	5	when	when	SCONJ
hassl-780	182	6	having	have	VERB
hassl-780	182	7	a	a	DET
hassl-780	182	8	child	child	NOUN
hassl-780	182	9	is	be	AUX
hassl-780	182	10	a	a	DET
hassl-780	182	11	risky	risky	ADJ
hassl-780	182	12	investment	investment	NOUN
hassl-780	182	13	.	.	PUNCT
hassl-780	183	1	meeting	meet	VERB
hassl-780	183	2	papers	paper	NOUN
hassl-780	183	3	.	.	PUNCT
hassl-780	184	1	no	no	INTJ
hassl-780	184	2	.	.	NOUN
hassl-780	185	1	563	563	NUM
hassl-780	185	2	.	.	PUNCT
hassl-780	186	1	society	society	NOUN
hassl-780	186	2	for	for	ADP
hassl-780	186	3	economic	economic	ADJ
hassl-780	186	4	dynamics	dynamic	NOUN
hassl-780	186	5	.	.	PUNCT
hassl-780	187	1	huttunen	huttunen	NOUN
hassl-780	187	2	,	,	PUNCT
hassl-780	187	3	k.	k.	PROPN
hassl-780	187	4	and	and	CCONJ
hassl-780	187	5	j.	j.	PROPN
hassl-780	187	6	kellokumpu	kellokumpu	PROPN
hassl-780	187	7	,	,	PUNCT
hassl-780	187	8	2012	2012	NUM
hassl-780	187	9	.	.	PUNCT
hassl-780	188	1	the	the	DET
hassl-780	188	2	effect	effect	NOUN
hassl-780	188	3	of	of	ADP
hassl-780	188	4	job	job	NOUN
hassl-780	188	5	displacement	displacement	NOUN
hassl-780	188	6	on	on	ADP
hassl-780	188	7	couples	couple	NOUN
hassl-780	188	8	’	'	PUNCT
hassl-780	188	9	fertility	fertility	NOUN
hassl-780	188	10	decisions	decision	NOUN
hassl-780	188	11	.	.	PUNCT
hassl-780	189	1	institute	institute	NOUN
hassl-780	189	2	for	for	ADP
hassl-780	189	3	the	the	DET
hassl-780	189	4	study	study	NOUN
hassl-780	189	5	of	of	ADP
hassl-780	189	6	labour	labour	PROPN
hassl-780	189	7	(	(	PUNCT
hassl-780	189	8	iza	iza	PROPN
hassl-780	189	9	)	)	PUNCT
hassl-780	189	10	,	,	PUNCT
hassl-780	189	11	dp	dp	NOUN
hassl-780	190	1	no	no	INTJ
hassl-780	190	2	.	.	PUNCT
hassl-780	190	3	6707	6707	NUM
hassl-780	190	4	.	.	PUNCT
hassl-780	191	1	ibáñez	ibáñez	NOUN
hassl-780	191	2	,	,	PUNCT
hassl-780	191	3	m.	m.	NOUN
hassl-780	191	4	,	,	PUNCT
hassl-780	191	5	2010	2010	NUM
hassl-780	191	6	.	.	PUNCT
hassl-780	192	1	fertility	fertility	NOUN
hassl-780	192	2	,	,	PUNCT
hassl-780	192	3	female	female	ADJ
hassl-780	192	4	participation	participation	NOUN
hassl-780	192	5	in	in	ADP
hassl-780	192	6	employment	employment	NOUN
hassl-780	192	7	and	and	CCONJ
hassl-780	192	8	reconciliation	reconciliation	NOUN
hassl-780	192	9	policies	policy	NOUN
hassl-780	192	10	in	in	ADP
hassl-780	192	11	spain	spain	PROPN
hassl-780	192	12	.	.	PUNCT
hassl-780	193	1	working	work	VERB
hassl-780	193	2	papers	paper	NOUN
hassl-780	193	3	on	on	ADP
hassl-780	193	4	the	the	DET
hassl-780	193	5	reconciliation	reconciliation	NOUN
hassl-780	193	6	of	of	ADP
hassl-780	193	7	work	work	NOUN
hassl-780	193	8	and	and	CCONJ
hassl-780	193	9	welfare	welfare	NOUN
hassl-780	193	10	in	in	ADP
hassl-780	193	11	europe	europe	PROPN
hassl-780	193	12	.	.	PUNCT
hassl-780	194	1	edinburgh	edinburgh	PROPN
hassl-780	194	2	:	:	PUNCT
hassl-780	194	3	dissemination	dissemination	NOUN
hassl-780	194	4	and	and	CCONJ
hassl-780	194	5	dialogue	dialogue	NOUN
hassl-780	194	6	centre	centre	NOUN
hassl-780	194	7	.	.	PUNCT
hassl-780	195	1	international	international	PROPN
hassl-780	195	2	institute	institute	PROPN
hassl-780	195	3	of	of	ADP
hassl-780	195	4	tropical	tropical	PROPN
hassl-780	195	5	agriculture	agriculture	NOUN
hassl-780	195	6	,	,	PUNCT
hassl-780	195	7	2004	2004	NUM
hassl-780	195	8	.	.	PUNCT
hassl-780	196	1	nigeria	nigeria	PROPN
hassl-780	196	2	food	food	NOUN
hassl-780	196	3	consumption	consumption	NOUN
hassl-780	196	4	and	and	CCONJ
hassl-780	196	5	nutrition	nutrition	NOUN
hassl-780	196	6	survey	survey	NOUN
hassl-780	196	7	;	;	PUNCT
hassl-780	196	8	2002	2002	NUM
hassl-780	196	9	-	-	SYM
hassl-780	196	10	2003	2003	NUM
hassl-780	196	11	summary	summary	NOUN
hassl-780	196	12	.	.	PUNCT
hassl-780	197	1	joreskog	joreskog	PROPN
hassl-780	197	2	,	,	PUNCT
hassl-780	197	3	k.	k.	PROPN
hassl-780	197	4	and	and	CCONJ
hassl-780	197	5	d.	d.	PROPN
hassl-780	197	6	sorbom	sorbom	PROPN
hassl-780	197	7	,	,	PUNCT
hassl-780	197	8	1989	1989	NUM
hassl-780	197	9	.	.	PUNCT
hassl-780	198	1	lisrel	lisrel	NOUN
hassl-780	198	2	7	7	NUM
hassl-780	198	3	:	:	PUNCT
hassl-780	198	4	a	a	DET
hassl-780	198	5	guide	guide	NOUN
hassl-780	198	6	to	to	ADP
hassl-780	198	7	the	the	DET
hassl-780	198	8	programme	programme	NOUN
hassl-780	198	9	and	and	CCONJ
hassl-780	198	10	application	application	NOUN
hassl-780	198	11	.	.	PUNCT
hassl-780	199	1	spss	spss	PROPN
hassl-780	199	2	inc	inc	PROPN
hassl-780	199	3	.	.	PROPN
hassl-780	199	4	kalwij	kalwij	PROPN
hassl-780	199	5	,	,	PUNCT
hassl-780	199	6	a.	a.	NOUN
hassl-780	199	7	,	,	PUNCT
hassl-780	199	8	1998	1998	NUM
hassl-780	199	9	.	.	PUNCT
hassl-780	200	1	household	household	NOUN
hassl-780	200	2	wealth	wealth	NOUN
hassl-780	200	3	,	,	PUNCT
hassl-780	200	4	female	female	ADJ
hassl-780	200	5	labour	labour	NOUN
hassl-780	200	6	force	force	NOUN
hassl-780	200	7	participation	participation	NOUN
hassl-780	200	8	and	and	CCONJ
hassl-780	200	9	fertility	fertility	NOUN
hassl-780	200	10	decisions	decision	NOUN
hassl-780	200	11	.	.	PUNCT
hassl-780	201	1	centre	centre	NOUN
hassl-780	201	2	for	for	ADP
hassl-780	201	3	economic	economic	ADJ
hassl-780	201	4	research	research	NOUN
hassl-780	201	5	,	,	PUNCT
hassl-780	201	6	working	work	VERB
hassl-780	201	7	paper	paper	NOUN
hassl-780	201	8	no	no	NOUN
hassl-780	201	9	.	.	PROPN
hassl-780	201	10	9889	9889	NUM
hassl-780	201	11	.	.	PUNCT
hassl-780	202	1	nagatani	nagatani	PROPN
hassl-780	202	2	,	,	PUNCT
hassl-780	202	3	k.	k.	PROPN
hassl-780	202	4	,	,	PUNCT
hassl-780	202	5	1972	1972	NUM
hassl-780	202	6	.	.	PUNCT
hassl-780	203	1	life	life	NOUN
hassl-780	203	2	cycle	cycle	NOUN
hassl-780	203	3	saving	saving	NOUN
hassl-780	203	4	:	:	PUNCT
hassl-780	203	5	theory	theory	NOUN
hassl-780	203	6	and	and	CCONJ
hassl-780	203	7	fact	fact	NOUN
hassl-780	203	8	.	.	PUNCT
hassl-780	204	1	american	american	PROPN
hassl-780	204	2	economic	economic	PROPN
hassl-780	204	3	review	review	PROPN
hassl-780	204	4	,	,	PUNCT
hassl-780	204	5	62(3	62(3	NUM
hassl-780	204	6	):	):	PUNCT
hassl-780	204	7	344	344	NUM
hassl-780	204	8	-	-	SYM
hassl-780	204	9	353	353	NUM
hassl-780	204	10	.	.	PUNCT
hassl-780	204	11	national	national	PROPN
hassl-780	204	12	bureau	bureau	PROPN
hassl-780	204	13	of	of	ADP
hassl-780	204	14	statistics	statistic	NOUN
hassl-780	204	15	,	,	PUNCT
hassl-780	204	16	2012	2012	NUM
hassl-780	204	17	.	.	PUNCT
hassl-780	205	1	annual	annual	ADJ
hassl-780	205	2	abstract	abstract	NOUN
hassl-780	205	3	of	of	ADP
hassl-780	205	4	statistics	statistic	NOUN
hassl-780	205	5	;	;	PUNCT
hassl-780	205	6	2011	2011	NUM
hassl-780	205	7	.	.	PUNCT
hassl-780	206	1	nbs	nbs	PROPN
hassl-780	206	2	,	,	PUNCT
hassl-780	206	3	2009	2009	NUM
hassl-780	206	4	.	.	PUNCT
hassl-780	207	1	nigeria	nigeria	PROPN
hassl-780	207	2	demographic	demographic	ADJ
hassl-780	207	3	and	and	CCONJ
hassl-780	207	4	health	health	NOUN
hassl-780	207	5	survey	survey	NOUN
hassl-780	207	6	;	;	PUNCT
hassl-780	207	7	2008	2008	NUM
hassl-780	207	8	.	.	PUNCT
hassl-780	208	1	okpala	okpala	PROPN
hassl-780	208	2	,	,	PUNCT
hassl-780	208	3	a.o	a.o	PROPN
hassl-780	208	4	.	.	PROPN
hassl-780	208	5	,	,	PUNCT
hassl-780	208	6	1989	1989	NUM
hassl-780	208	7	.	.	PUNCT
hassl-780	209	1	female	female	ADJ
hassl-780	209	2	employment	employment	NOUN
hassl-780	209	3	and	and	CCONJ
hassl-780	209	4	family	family	NOUN
hassl-780	209	5	size	size	NOUN
hassl-780	209	6	among	among	ADP
hassl-780	209	7	urban	urban	ADJ
hassl-780	209	8	nigerian	nigerian	ADJ
hassl-780	209	9	women	woman	NOUN
hassl-780	209	10	.	.	PUNCT
hassl-780	210	1	journal	journal	NOUN
hassl-780	210	2	of	of	ADP
hassl-780	210	3	developing	develop	VERB
hassl-780	210	4	areas	area	NOUN
hassl-780	210	5	,	,	PUNCT
hassl-780	210	6	23(3	23(3	NUM
hassl-780	210	7	):	):	PUNCT
hassl-780	210	8	439456	439456	NUM
hassl-780	210	9	.	.	PUNCT
hassl-780	211	1	solomon	solomon	PROPN
hassl-780	211	2	,	,	PUNCT
hassl-780	211	3	b.	b.	PROPN
hassl-780	211	4	and	and	CCONJ
hassl-780	211	5	j.	j.	PROPN
hassl-780	211	6	kimmel	kimmel	PROPN
hassl-780	211	7	,	,	PUNCT
hassl-780	211	8	2009	2009	NUM
hassl-780	211	9	.	.	PUNCT
hassl-780	212	1	testing	test	VERB
hassl-780	212	2	the	the	DET
hassl-780	212	3	inverseness	inverseness	NOUN
hassl-780	212	4	of	of	ADP
hassl-780	212	5	fertility	fertility	NOUN
hassl-780	212	6	and	and	CCONJ
hassl-780	212	7	labour	labour	NOUN
hassl-780	212	8	supply	supply	NOUN
hassl-780	212	9	:	:	PUNCT
hassl-780	212	10	the	the	DET
hassl-780	212	11	case	case	NOUN
hassl-780	212	12	of	of	ADP
hassl-780	212	13	ethiopia	ethiopia	PROPN
hassl-780	212	14	.	.	PUNCT
hassl-780	213	1	institute	institute	PROPN
hassl-780	213	2	for	for	ADP
hassl-780	213	3	the	the	DET
hassl-780	213	4	study	study	NOUN
hassl-780	213	5	of	of	ADP
hassl-780	213	6	labour	labour	ADJ
hassl-780	213	7	discussion	discussion	NOUN
hassl-780	213	8	paper	paper	NOUN
hassl-780	213	9	no	no	NOUN
hassl-780	213	10	.	.	PUNCT
hassl-780	214	1	3949	3949	NUM
hassl-780	214	2	.	.	PUNCT
hassl-780	215	1	ueda	ueda	PROPN
hassl-780	215	2	,	,	PUNCT
hassl-780	215	3	a.	a.	PROPN
hassl-780	215	4	,	,	PUNCT
hassl-780	215	5	2004	2004	NUM
hassl-780	215	6	.	.	PUNCT
hassl-780	216	1	a	a	DET
hassl-780	216	2	dynamic	dynamic	ADJ
hassl-780	216	3	decision	decision	NOUN
hassl-780	216	4	model	model	NOUN
hassl-780	216	5	of	of	ADP
hassl-780	216	6	marriage	marriage	NOUN
hassl-780	216	7	,	,	PUNCT
hassl-780	216	8	childbearing	childbearing	NOUN
hassl-780	216	9	and	and	CCONJ
hassl-780	216	10	labour	labour	ADJ
hassl-780	216	11	force	force	NOUN
hassl-780	216	12	participation	participation	NOUN
hassl-780	216	13	of	of	ADP
hassl-780	216	14	women	woman	NOUN
hassl-780	216	15	in	in	ADP
hassl-780	216	16	japan	japan	PROPN
hassl-780	216	17	.	.	PUNCT
hassl-780	217	1	school	school	NOUN
hassl-780	217	2	of	of	ADP
hassl-780	217	3	political	political	ADJ
hassl-780	217	4	science	science	NOUN
hassl-780	217	5	and	and	CCONJ
hassl-780	217	6	economics	economic	NOUN
hassl-780	217	7	,	,	PUNCT
hassl-780	217	8	waseda	waseda	NOUN
hassl-780	217	9	university	university	NOUN
hassl-780	217	10	.	.	PUNCT
hassl-780	218	1	views	view	NOUN
hassl-780	218	2	and	and	CCONJ
hassl-780	218	3	opinions	opinion	NOUN
hassl-780	218	4	expressed	express	VERB
hassl-780	218	5	in	in	ADP
hassl-780	218	6	this	this	DET
hassl-780	218	7	article	article	NOUN
hassl-780	218	8	are	be	AUX
hassl-780	218	9	the	the	DET
hassl-780	218	10	views	view	NOUN
hassl-780	218	11	and	and	CCONJ
hassl-780	218	12	opinions	opinion	NOUN
hassl-780	218	13	of	of	ADP
hassl-780	218	14	the	the	DET
hassl-780	218	15	author(s	author(s	NOUN
hassl-780	218	16	)	)	PUNCT
hassl-780	218	17	,	,	PUNCT
hassl-780	218	18	humanities	humanity	NOUN
hassl-780	218	19	and	and	CCONJ
hassl-780	218	20	social	social	ADJ
hassl-780	218	21	sciences	science	NOUN
hassl-780	218	22	letters	letter	NOUN
hassl-780	218	23	shall	shall	AUX
hassl-780	218	24	not	not	PART
hassl-780	218	25	be	be	AUX
hassl-780	218	26	responsible	responsible	ADJ
hassl-780	218	27	or	or	CCONJ
hassl-780	218	28	answerable	answerable	ADJ
hassl-780	218	29	for	for	ADP
hassl-780	218	30	any	any	DET
hassl-780	218	31	loss	loss	NOUN
hassl-780	218	32	,	,	PUNCT
hassl-780	218	33	damage	damage	NOUN
hassl-780	218	34	or	or	CCONJ
hassl-780	218	35	liability	liability	NOUN
hassl-780	218	36	etc	etc	X
hassl-780	218	37	.	.	X
hassl-780	219	1	caused	cause	VERB
hassl-780	219	2	in	in	ADP
hassl-780	219	3	relation	relation	NOUN
hassl-780	219	4	to	to	PART
hassl-780	219	5	/	/	PUNCT
hassl-780	219	6	arising	arise	VERB
hassl-780	219	7	out	out	ADP
hassl-780	219	8	of	of	ADP
hassl-780	219	9	the	the	DET
hassl-780	219	10	use	use	NOUN
hassl-780	219	11	of	of	ADP
hassl-780	219	12	the	the	DET
hassl-780	219	13	content	content	NOUN
hassl-780	219	14	.	.	PUNCT