id	sid	tid	token	lemma	pos
faba-114	1	1	26	26	NUM
faba-114	1	2	finance	finance	NOUN
faba-114	1	3	,	,	PUNCT
faba-114	1	4	accounting	accounting	NOUN
faba-114	1	5	and	and	CCONJ
faba-114	1	6	business	business	NOUN
faba-114	1	7	analysis	analysis	NOUN
faba-114	1	8	volume	volume	NOUN
faba-114	1	9	4	4	NUM
faba-114	1	10	issue	issue	NOUN
faba-114	1	11	1	1	NUM
faba-114	1	12	,	,	PUNCT
faba-114	1	13	2022	2022	NUM
faba-114	1	14	http://faba.bg	http://faba.bg	NOUN
faba-114	1	15	the	the	DET
faba-114	1	16	consequences	consequence	NOUN
faba-114	1	17	of	of	ADP
faba-114	1	18	covid-19	covid-19	PROPN
faba-114	1	19	on	on	ADP
faba-114	1	20	youth	youth	NOUN
faba-114	1	21	unemployment	unemployment	NOUN
faba-114	1	22	in	in	ADP
faba-114	1	23	the	the	DET
faba-114	1	24	bulgaria	bulgaria	PROPN
faba-114	1	25	stanimir	stanimir	PROPN
faba-114	1	26	stamatev1	stamatev1	PROPN
faba-114	1	27	,	,	PUNCT
faba-114	1	28	vasil	vasil	NOUN
faba-114	1	29	bozev2	bozev2	PROPN
faba-114	1	30	department	department	PROPN
faba-114	1	31	of	of	ADP
faba-114	1	32	management	management	NOUN
faba-114	1	33	,	,	PUNCT
faba-114	1	34	university	university	NOUN
faba-114	1	35	of	of	ADP
faba-114	1	36	national	national	ADJ
faba-114	1	37	and	and	CCONJ
faba-114	1	38	world	world	NOUN
faba-114	1	39	economy	economy	NOUN
faba-114	1	40	,	,	PUNCT
faba-114	1	41	bulgaria1	bulgaria1	PROPN
faba-114	1	42	department	department	PROPN
faba-114	1	43	of	of	ADP
faba-114	1	44	statistics	statistic	NOUN
faba-114	1	45	and	and	CCONJ
faba-114	1	46	econometrics	econometric	NOUN
faba-114	1	47	,	,	PUNCT
faba-114	1	48	university	university	NOUN
faba-114	1	49	of	of	ADP
faba-114	1	50	national	national	ADJ
faba-114	1	51	and	and	CCONJ
faba-114	1	52	world	world	NOUN
faba-114	1	53	economy	economy	NOUN
faba-114	1	54	,	,	PUNCT
faba-114	1	55	bulgaria2	bulgaria2	NOUN
faba-114	1	56	info	info	NOUN
faba-114	1	57	articles	article	NOUN
faba-114	1	58	abstract	abstract	ADJ
faba-114	1	59	keywords	keyword	NOUN
faba-114	1	60	:	:	PUNCT
faba-114	1	61	youth	youth	NOUN
faba-114	1	62	unemployment	unemployment	NOUN
faba-114	1	63	,	,	PUNCT
faba-114	1	64	covid-19	covid-19	PROPN
faba-114	1	65	,	,	PUNCT
faba-114	1	66	education	education	NOUN
faba-114	1	67	level	level	NOUN
faba-114	1	68	,	,	PUNCT
faba-114	1	69	bulgaria	bulgaria	PROPN
faba-114	1	70	objective	objective	NOUN
faba-114	1	71	:	:	PUNCT
faba-114	1	72	the	the	DET
faba-114	1	73	purpose	purpose	NOUN
faba-114	1	74	of	of	ADP
faba-114	1	75	this	this	DET
faba-114	1	76	article	article	NOUN
faba-114	1	77	is	be	AUX
faba-114	1	78	to	to	PART
faba-114	1	79	examine	examine	VERB
faba-114	1	80	how	how	SCONJ
faba-114	1	81	covid-19	covid-19	PROPN
faba-114	1	82	has	have	VERB
faba-114	1	83	an	an	DET
faba-114	1	84	impact	impact	NOUN
faba-114	1	85	on	on	ADP
faba-114	1	86	unemployment	unemployment	NOUN
faba-114	1	87	among	among	ADP
faba-114	1	88	young	young	ADJ
faba-114	1	89	people	people	NOUN
faba-114	1	90	in	in	ADP
faba-114	1	91	bulgaria	bulgaria	PROPN
faba-114	1	92	.	.	PUNCT
faba-114	2	1	it	it	PRON
faba-114	2	2	shows	show	VERB
faba-114	2	3	the	the	DET
faba-114	2	4	impact	impact	NOUN
faba-114	2	5	of	of	ADP
faba-114	2	6	the	the	DET
faba-114	2	7	achieved	achieve	VERB
faba-114	2	8	educational	educational	ADJ
faba-114	2	9	level	level	NOUN
faba-114	2	10	on	on	ADP
faba-114	2	11	the	the	DET
faba-114	2	12	change	change	NOUN
faba-114	2	13	in	in	ADP
faba-114	2	14	the	the	DET
faba-114	2	15	unemployment	unemployment	NOUN
faba-114	2	16	levels	level	NOUN
faba-114	2	17	among	among	ADP
faba-114	2	18	young	young	ADJ
faba-114	2	19	people	people	NOUN
faba-114	2	20	.	.	PUNCT
faba-114	3	1	in	in	ADP
faba-114	3	2	addition	addition	NOUN
faba-114	3	3	,	,	PUNCT
faba-114	3	4	this	this	DET
faba-114	3	5	academic	academic	ADJ
faba-114	3	6	work	work	NOUN
faba-114	3	7	attempts	attempt	VERB
faba-114	3	8	to	to	PART
faba-114	3	9	establish	establish	VERB
faba-114	3	10	what	what	PRON
faba-114	3	11	the	the	DET
faba-114	3	12	future	future	ADJ
faba-114	3	13	tendency	tendency	NOUN
faba-114	3	14	in	in	ADP
faba-114	3	15	the	the	DET
faba-114	3	16	development	development	NOUN
faba-114	3	17	of	of	ADP
faba-114	3	18	youth	youth	NOUN
faba-114	3	19	unemployment	unemployment	NOUN
faba-114	3	20	might	might	AUX
faba-114	3	21	be	be	AUX
faba-114	3	22	in	in	ADP
faba-114	3	23	a	a	DET
faba-114	3	24	subsiding	subside	VERB
faba-114	3	25	pandemic	pandemic	ADJ
faba-114	3	26	.	.	PUNCT
faba-114	4	1	methodology	methodology	NOUN
faba-114	4	2	:	:	PUNCT
faba-114	4	3	the	the	DET
faba-114	4	4	article	article	NOUN
faba-114	4	5	uses	use	VERB
faba-114	4	6	empirical	empirical	ADJ
faba-114	4	7	data	datum	NOUN
faba-114	4	8	from	from	ADP
faba-114	4	9	the	the	DET
faba-114	4	10	nsi	nsi	PROPN
faba-114	4	11	(	(	PUNCT
faba-114	4	12	national	national	ADJ
faba-114	4	13	statistical	statistical	ADJ
faba-114	4	14	institute	institute	NOUN
faba-114	4	15	)	)	PUNCT
faba-114	4	16	and	and	CCONJ
faba-114	4	17	eurostat	eurostat	PROPN
faba-114	4	18	regarding	regard	VERB
faba-114	4	19	the	the	DET
faba-114	4	20	level	level	NOUN
faba-114	4	21	of	of	ADP
faba-114	4	22	youth	youth	NOUN
faba-114	4	23	unemployment	unemployment	NOUN
faba-114	4	24	in	in	ADP
faba-114	4	25	bulgaria	bulgaria	PROPN
faba-114	4	26	on	on	ADP
faba-114	4	27	a	a	DET
faba-114	4	28	general	general	ADJ
faba-114	4	29	and	and	CCONJ
faba-114	4	30	educational	educational	ADJ
faba-114	4	31	scale	scale	NOUN
faba-114	4	32	.	.	PUNCT
faba-114	5	1	a	a	DET
faba-114	5	2	forecast	forecast	NOUN
faba-114	5	3	has	have	AUX
faba-114	5	4	been	be	AUX
faba-114	5	5	made	make	VERB
faba-114	5	6	,	,	PUNCT
faba-114	5	7	which	which	PRON
faba-114	5	8	is	be	AUX
faba-114	5	9	based	base	VERB
faba-114	5	10	on	on	ADP
faba-114	5	11	a	a	DET
faba-114	5	12	trend	trend	NOUN
faba-114	5	13	model	model	NOUN
faba-114	5	14	,	,	PUNCT
faba-114	5	15	whose	whose	DET
faba-114	5	16	parameters	parameter	NOUN
faba-114	5	17	are	be	AUX
faba-114	5	18	estimated	estimate	VERB
faba-114	5	19	by	by	ADP
faba-114	5	20	the	the	DET
faba-114	5	21	method	method	NOUN
faba-114	5	22	of	of	ADP
faba-114	5	23	the	the	DET
faba-114	5	24	least	least	ADJ
faba-114	5	25	squares	square	NOUN
faba-114	5	26	.	.	PUNCT
faba-114	6	1	results	result	NOUN
faba-114	6	2	:	:	PUNCT
faba-114	6	3	our	our	PRON
faba-114	6	4	findings	finding	NOUN
faba-114	6	5	indicate	indicate	VERB
faba-114	6	6	that	that	SCONJ
faba-114	6	7	covid-19	covid-19	PROPN
faba-114	6	8	has	have	AUX
faba-114	6	9	had	have	VERB
faba-114	6	10	a	a	DET
faba-114	6	11	detrimental	detrimental	ADJ
faba-114	6	12	effect	effect	NOUN
faba-114	6	13	on	on	ADP
faba-114	6	14	unemployment	unemployment	NOUN
faba-114	6	15	among	among	ADP
faba-114	6	16	young	young	ADJ
faba-114	6	17	people	people	NOUN
faba-114	6	18	and	and	CCONJ
faba-114	6	19	it	it	PRON
faba-114	6	20	has	have	AUX
faba-114	6	21	risen	rise	VERB
faba-114	6	22	during	during	ADP
faba-114	6	23	the	the	DET
faba-114	6	24	pandemic	pandemic	NOUN
faba-114	6	25	.	.	PUNCT
faba-114	7	1	in	in	ADP
faba-114	7	2	addition	addition	NOUN
faba-114	7	3	,	,	PUNCT
faba-114	7	4	our	our	PRON
faba-114	7	5	forecast	forecast	NOUN
faba-114	7	6	illustrates	illustrate	VERB
faba-114	7	7	an	an	DET
faba-114	7	8	increase	increase	NOUN
faba-114	7	9	in	in	ADP
faba-114	7	10	youth	youth	NOUN
faba-114	7	11	unemployment	unemployment	NOUN
faba-114	7	12	in	in	ADP
faba-114	7	13	the	the	DET
faba-114	7	14	upcoming	upcoming	ADJ
faba-114	7	15	two	two	NUM
faba-114	7	16	years	year	NOUN
faba-114	7	17	.	.	PUNCT
faba-114	8	1	despite	despite	SCONJ
faba-114	8	2	this	this	PRON
faba-114	8	3	,	,	PUNCT
faba-114	8	4	according	accord	VERB
faba-114	8	5	to	to	ADP
faba-114	8	6	the	the	DET
faba-114	8	7	data	datum	NOUN
faba-114	8	8	for	for	ADP
faba-114	8	9	bulgaria	bulgaria	PROPN
faba-114	8	10	,	,	PUNCT
faba-114	8	11	in	in	ADP
faba-114	8	12	2021	2021	NUM
faba-114	8	13	compared	compare	VERB
faba-114	8	14	to	to	ADP
faba-114	8	15	2019	2019	NUM
faba-114	8	16	,	,	PUNCT
faba-114	8	17	youth	youth	NOUN
faba-114	8	18	unemployment	unemployment	NOUN
faba-114	8	19	among	among	ADP
faba-114	8	20	people	people	NOUN
faba-114	8	21	with	with	ADP
faba-114	8	22	primary	primary	ADJ
faba-114	8	23	and	and	CCONJ
faba-114	8	24	lower	low	ADJ
faba-114	8	25	education	education	NOUN
faba-114	8	26	has	have	AUX
faba-114	8	27	seen	see	VERB
faba-114	8	28	an	an	DET
faba-114	8	29	increase	increase	NOUN
faba-114	8	30	by	by	ADP
faba-114	8	31	7.4	7.4	NUM
faba-114	8	32	%	%	NOUN
faba-114	8	33	;	;	PUNCT
faba-114	8	34	with	with	ADP
faba-114	8	35	4.2	4.2	NUM
faba-114	8	36	%	%	NOUN
faba-114	8	37	among	among	ADP
faba-114	8	38	those	those	PRON
faba-114	8	39	who	who	PRON
faba-114	8	40	have	have	AUX
faba-114	8	41	acquired	acquire	VERB
faba-114	8	42	secondary	secondary	ADJ
faba-114	8	43	education	education	NOUN
faba-114	8	44	and	and	CCONJ
faba-114	8	45	only	only	ADV
faba-114	8	46	with	with	ADP
faba-114	8	47	1	1	NUM
faba-114	8	48	%	%	NOUN
faba-114	8	49	among	among	ADP
faba-114	8	50	those	those	PRON
faba-114	8	51	with	with	ADP
faba-114	8	52	higher	high	ADJ
faba-114	8	53	education	education	NOUN
faba-114	8	54	.	.	PUNCT
faba-114	9	1	the	the	DET
faba-114	9	2	analysis	analysis	NOUN
faba-114	9	3	illustrates	illustrate	VERB
faba-114	9	4	that	that	SCONJ
faba-114	9	5	during	during	ADP
faba-114	9	6	the	the	DET
faba-114	9	7	covid-19	covid-19	PROPN
faba-114	9	8	pandemic	pandemic	ADJ
faba-114	9	9	,	,	PUNCT
faba-114	9	10	young	young	ADJ
faba-114	9	11	people	people	NOUN
faba-114	9	12	in	in	ADP
faba-114	9	13	bulgaria	bulgaria	PROPN
faba-114	9	14	with	with	ADP
faba-114	9	15	higher	high	ADJ
faba-114	9	16	education	education	NOUN
faba-114	9	17	are	be	AUX
faba-114	9	18	at	at	ADP
faba-114	9	19	a	a	DET
faba-114	9	20	considerably	considerably	ADV
faba-114	9	21	lower	low	ADJ
faba-114	9	22	risk	risk	NOUN
faba-114	9	23	in	in	ADP
faba-114	9	24	comparison	comparison	NOUN
faba-114	9	25	to	to	ADP
faba-114	9	26	those	those	PRON
faba-114	9	27	with	with	ADP
faba-114	9	28	lower	low	ADJ
faba-114	9	29	education	education	NOUN
faba-114	9	30	.	.	PUNCT
faba-114	10	1	implication	implication	NOUN
faba-114	10	2	:	:	PUNCT
faba-114	10	3	the	the	DET
faba-114	10	4	study	study	NOUN
faba-114	10	5	’s	’s	PART
faba-114	10	6	results	result	NOUN
faba-114	10	7	provides	provide	VERB
faba-114	10	8	beneficial	beneficial	ADJ
faba-114	10	9	starting	starting	NOUN
faba-114	10	10	point	point	NOUN
faba-114	10	11	in	in	ADP
faba-114	10	12	improving	improve	VERB
faba-114	10	13	the	the	DET
faba-114	10	14	performance	performance	NOUN
faba-114	10	15	of	of	ADP
faba-114	10	16	the	the	DET
faba-114	10	17	labour	labour	NOUN
faba-114	10	18	market	market	NOUN
faba-114	10	19	policy	policy	NOUN
faba-114	10	20	and	and	CCONJ
faba-114	10	21	the	the	DET
faba-114	10	22	development	development	NOUN
faba-114	10	23	of	of	ADP
faba-114	10	24	the	the	DET
faba-114	10	25	educational	educational	ADJ
faba-114	10	26	system	system	NOUN
faba-114	10	27	.	.	PUNCT
faba-114	11	1	*	*	PUNCT
faba-114	11	2	address	address	NOUN
faba-114	11	3	correspondence	correspondence	NOUN
faba-114	11	4	:	:	PUNCT
faba-114	12	1	e	e	X
faba-114	12	2	-	-	NOUN
faba-114	12	3	mail	mail	NOUN
faba-114	12	4	:	:	PUNCT
faba-114	12	5	sstamatev@unwe.bg1	sstamatev@unwe.bg1	NOUN
faba-114	12	6	,	,	PUNCT
faba-114	12	7	v_bozev@unwe.bg2	v_bozev@unwe.bg2	PROPN
faba-114	12	8	finance	finance	NOUN
faba-114	12	9	,	,	PUNCT
faba-114	12	10	accounting	accounting	NOUN
faba-114	12	11	and	and	CCONJ
faba-114	12	12	business	business	NOUN
faba-114	12	13	analysis	analysis	NOUN
faba-114	12	14	4	4	NUM
faba-114	12	15	(	(	PUNCT
faba-114	12	16	1	1	NUM
faba-114	12	17	)	)	PUNCT
faba-114	12	18	2022	2022	NUM
faba-114	12	19	27	27	NUM
faba-114	12	20	introduction	introduction	NOUN
faba-114	12	21	the	the	DET
faba-114	12	22	global	global	ADJ
faba-114	12	23	pandemic	pandemic	ADJ
faba-114	12	24	covid-19	covid-19	PROPN
faba-114	12	25	broke	break	VERB
faba-114	12	26	out	out	ADP
faba-114	12	27	in	in	ADP
faba-114	12	28	the	the	DET
faba-114	12	29	beginning	beginning	NOUN
faba-114	12	30	of	of	ADP
faba-114	12	31	2019	2019	NUM
faba-114	12	32	and	and	CCONJ
faba-114	12	33	has	have	AUX
faba-114	12	34	set	set	VERB
faba-114	12	35	new	new	ADJ
faba-114	12	36	challenges	challenge	NOUN
faba-114	12	37	to	to	ADP
faba-114	12	38	the	the	DET
faba-114	12	39	economies	economy	NOUN
faba-114	12	40	of	of	ADP
faba-114	12	41	the	the	DET
faba-114	12	42	world	world	NOUN
faba-114	12	43	,	,	PUNCT
faba-114	12	44	including	include	VERB
faba-114	12	45	bulgaria	bulgaria	PROPN
faba-114	12	46	.	.	PUNCT
faba-114	13	1	the	the	DET
faba-114	13	2	soaring	soar	VERB
faba-114	13	3	growth	growth	NOUN
faba-114	13	4	of	of	ADP
faba-114	13	5	the	the	DET
faba-114	13	6	gross	gross	ADJ
faba-114	13	7	domestic	domestic	ADJ
faba-114	13	8	product	product	NOUN
faba-114	13	9	(	(	PUNCT
faba-114	13	10	gdp	gdp	NOUN
faba-114	13	11	)	)	PUNCT
faba-114	13	12	distinctive	distinctive	ADJ
faba-114	13	13	for	for	ADP
faba-114	13	14	the	the	DET
faba-114	13	15	years	year	NOUN
faba-114	13	16	before	before	ADP
faba-114	13	17	2019	2019	NUM
faba-114	13	18	,	,	PUNCT
faba-114	13	19	has	have	AUX
faba-114	13	20	rapidly	rapidly	ADV
faba-114	13	21	declined	decline	VERB
faba-114	13	22	in	in	ADP
faba-114	13	23	the	the	DET
faba-114	13	24	following	following	ADJ
faba-114	13	25	years	year	NOUN
faba-114	13	26	.	.	PUNCT
faba-114	14	1	the	the	DET
faba-114	14	2	declining	decline	VERB
faba-114	14	3	economic	economic	ADJ
faba-114	14	4	activity	activity	NOUN
faba-114	14	5	has	have	AUX
faba-114	14	6	also	also	ADV
faba-114	14	7	had	have	VERB
faba-114	14	8	a	a	DET
faba-114	14	9	detrimental	detrimental	ADJ
faba-114	14	10	impact	impact	NOUN
faba-114	14	11	on	on	ADP
faba-114	14	12	the	the	DET
faba-114	14	13	labor	labor	NOUN
faba-114	14	14	market	market	NOUN
faba-114	14	15	.	.	PUNCT
faba-114	15	1	this	this	PRON
faba-114	15	2	has	have	AUX
faba-114	15	3	given	give	VERB
faba-114	15	4	good	good	ADJ
faba-114	15	5	reason	reason	NOUN
faba-114	15	6	to	to	ADP
faba-114	15	7	many	many	ADJ
faba-114	15	8	economists	economist	NOUN
faba-114	15	9	and	and	CCONJ
faba-114	15	10	analysts	analyst	NOUN
faba-114	15	11	to	to	PART
faba-114	15	12	discuss	discuss	VERB
faba-114	15	13	the	the	DET
faba-114	15	14	state	state	NOUN
faba-114	15	15	of	of	ADP
faba-114	15	16	the	the	DET
faba-114	15	17	labor	labor	NOUN
faba-114	15	18	market	market	NOUN
faba-114	15	19	in	in	ADP
faba-114	15	20	bulgaria	bulgaria	PROPN
faba-114	15	21	.	.	PUNCT
faba-114	16	1	these	these	DET
faba-114	16	2	negative	negative	ADJ
faba-114	16	3	consequences	consequence	NOUN
faba-114	16	4	have	have	AUX
faba-114	16	5	also	also	ADV
faba-114	16	6	taken	take	VERB
faba-114	16	7	their	their	PRON
faba-114	16	8	toll	toll	NOUN
faba-114	16	9	on	on	ADP
faba-114	16	10	the	the	DET
faba-114	16	11	youth	youth	NOUN
faba-114	16	12	as	as	SCONJ
faba-114	16	13	the	the	DET
faba-114	16	14	unemployment	unemployment	NOUN
faba-114	16	15	rate	rate	NOUN
faba-114	16	16	has	have	AUX
faba-114	16	17	gone	go	VERB
faba-114	16	18	up	up	ADP
faba-114	16	19	by	by	ADP
faba-114	16	20	close	close	ADJ
faba-114	16	21	to	to	PART
faba-114	16	22	4	4	NUM
faba-114	16	23	percentage	percentage	NOUN
faba-114	16	24	points	point	NOUN
faba-114	16	25	in	in	ADP
faba-114	16	26	2021	2021	NUM
faba-114	16	27	compared	compare	VERB
faba-114	16	28	to	to	ADP
faba-114	16	29	2019	2019	NUM
faba-114	16	30	.	.	PUNCT
faba-114	17	1	pursuing	pursue	VERB
faba-114	17	2	things	thing	NOUN
faba-114	17	3	further	far	ADV
faba-114	17	4	,	,	PUNCT
faba-114	17	5	the	the	DET
faba-114	17	6	current	current	ADJ
faba-114	17	7	conditions	condition	NOUN
faba-114	17	8	of	of	ADP
faba-114	17	9	the	the	DET
faba-114	17	10	deteriorating	deteriorate	VERB
faba-114	17	11	economic	economic	ADJ
faba-114	17	12	and	and	CCONJ
faba-114	17	13	demographic	demographic	ADJ
faba-114	17	14	tendencies	tendency	NOUN
faba-114	17	15	have	have	AUX
faba-114	17	16	determined	determine	VERB
faba-114	17	17	the	the	DET
faba-114	17	18	growing	grow	VERB
faba-114	17	19	interest	interest	NOUN
faba-114	17	20	in	in	ADP
faba-114	17	21	the	the	DET
faba-114	17	22	state	state	NOUN
faba-114	17	23	,	,	PUNCT
faba-114	17	24	dynamics	dynamic	NOUN
faba-114	17	25	,	,	PUNCT
faba-114	17	26	and	and	CCONJ
faba-114	17	27	prospects	prospect	NOUN
faba-114	17	28	of	of	ADP
faba-114	17	29	the	the	DET
faba-114	17	30	results	result	NOUN
faba-114	17	31	of	of	ADP
faba-114	17	32	the	the	DET
faba-114	17	33	realization	realization	NOUN
faba-114	17	34	of	of	ADP
faba-114	17	35	young	young	ADJ
faba-114	17	36	people	people	NOUN
faba-114	17	37	in	in	ADP
faba-114	17	38	the	the	DET
faba-114	17	39	labor	labor	NOUN
faba-114	17	40	market	market	NOUN
faba-114	17	41	.	.	PUNCT
faba-114	18	1	the	the	DET
faba-114	18	2	importance	importance	NOUN
faba-114	18	3	of	of	ADP
faba-114	18	4	using	use	VERB
faba-114	18	5	young	young	ADJ
faba-114	18	6	people	people	NOUN
faba-114	18	7	as	as	ADP
faba-114	18	8	an	an	DET
faba-114	18	9	economic	economic	ADJ
faba-114	18	10	resource	resource	NOUN
faba-114	18	11	is	be	AUX
faba-114	18	12	determined	determine	VERB
faba-114	18	13	by	by	ADP
faba-114	18	14	two	two	NUM
faba-114	18	15	main	main	ADJ
faba-114	18	16	factors	factor	NOUN
faba-114	18	17	.	.	PUNCT
faba-114	19	1	firstly	firstly	ADV
faba-114	19	2	,	,	PUNCT
faba-114	19	3	to	to	ADP
faba-114	19	4	date	date	NOUN
faba-114	19	5	,	,	PUNCT
faba-114	19	6	they	they	PRON
faba-114	19	7	are	be	AUX
faba-114	19	8	around	around	ADV
faba-114	19	9	25	25	NUM
faba-114	19	10	%	%	NOUN
faba-114	19	11	of	of	ADP
faba-114	19	12	the	the	DET
faba-114	19	13	workforce	workforce	NOUN
faba-114	19	14	(	(	PUNCT
faba-114	19	15	nsi	nsi	NOUN
faba-114	19	16	,	,	PUNCT
faba-114	19	17	demographic	demographic	ADJ
faba-114	19	18	and	and	CCONJ
faba-114	19	19	social	social	ADJ
faba-114	19	20	statistics	statistic	NOUN
faba-114	19	21	,	,	PUNCT
faba-114	19	22	2021	2021	NUM
faba-114	19	23	)	)	PUNCT
faba-114	19	24	.	.	PUNCT
faba-114	20	1	secondly	secondly	ADV
faba-114	20	2	,	,	PUNCT
faba-114	20	3	they	they	PRON
faba-114	20	4	are	be	AUX
faba-114	20	5	the	the	DET
faba-114	20	6	future	future	NOUN
faba-114	20	7	of	of	ADP
faba-114	20	8	the	the	DET
faba-114	20	9	nation	nation	NOUN
faba-114	20	10	and	and	CCONJ
faba-114	20	11	the	the	DET
faba-114	20	12	initial	initial	ADJ
faba-114	20	13	conditions	condition	NOUN
faba-114	20	14	of	of	ADP
faba-114	20	15	their	their	PRON
faba-114	20	16	economic	economic	ADJ
faba-114	20	17	activity	activity	NOUN
faba-114	20	18	are	be	AUX
faba-114	20	19	an	an	DET
faba-114	20	20	important	important	ADJ
faba-114	20	21	prerequisite	prerequisite	NOUN
faba-114	20	22	for	for	ADP
faba-114	20	23	long	long	ADJ
faba-114	20	24	-	-	PUNCT
faba-114	20	25	term	term	NOUN
faba-114	20	26	economic	economic	ADJ
faba-114	20	27	growth	growth	NOUN
faba-114	20	28	.	.	PUNCT
faba-114	21	1	the	the	DET
faba-114	21	2	scope	scope	NOUN
faba-114	21	3	of	of	ADP
faba-114	21	4	this	this	DET
faba-114	21	5	paper	paper	NOUN
faba-114	21	6	is	be	AUX
faba-114	21	7	to	to	PART
faba-114	21	8	examine	examine	VERB
faba-114	21	9	the	the	DET
faba-114	21	10	impact	impact	NOUN
faba-114	21	11	of	of	ADP
faba-114	21	12	covid-19	covid-19	PROPN
faba-114	21	13	on	on	ADP
faba-114	21	14	the	the	DET
faba-114	21	15	bulgarian	bulgarian	ADJ
faba-114	21	16	youth	youth	NOUN
faba-114	21	17	unemployment	unemployment	NOUN
faba-114	21	18	rate	rate	NOUN
faba-114	21	19	.	.	PUNCT
faba-114	22	1	in	in	ADP
faba-114	22	2	order	order	NOUN
faba-114	22	3	to	to	PART
faba-114	22	4	achieve	achieve	VERB
faba-114	22	5	this	this	DET
faba-114	22	6	goal	goal	NOUN
faba-114	22	7	,	,	PUNCT
faba-114	22	8	we	we	PRON
faba-114	22	9	must	must	AUX
faba-114	22	10	take	take	VERB
faba-114	22	11	into	into	ADP
faba-114	22	12	account	account	NOUN
faba-114	22	13	the	the	DET
faba-114	22	14	empirical	empirical	ADJ
faba-114	22	15	data	datum	NOUN
faba-114	22	16	on	on	ADP
faba-114	22	17	the	the	DET
faba-114	22	18	unemployment	unemployment	NOUN
faba-114	22	19	of	of	ADP
faba-114	22	20	the	the	DET
faba-114	22	21	population	population	NOUN
faba-114	22	22	aged	age	VERB
faba-114	22	23	between	between	ADP
faba-114	22	24	15	15	NUM
faba-114	22	25	-	-	SYM
faba-114	22	26	29	29	NUM
faba-114	22	27	,	,	PUNCT
faba-114	22	28	which	which	PRON
faba-114	22	29	is	be	AUX
faba-114	22	30	defined	define	VERB
faba-114	22	31	in	in	ADP
faba-114	22	32	the	the	DET
faba-114	22	33	article	article	NOUN
faba-114	22	34	as	as	ADP
faba-114	22	35	“	"	PUNCT
faba-114	22	36	young	young	ADJ
faba-114	22	37	people”1	people”1	NOUN
faba-114	22	38	.	.	PUNCT
faba-114	23	1	our	our	PRON
faba-114	23	2	assumption	assumption	NOUN
faba-114	23	3	is	be	AUX
faba-114	23	4	that	that	SCONJ
faba-114	23	5	even	even	ADV
faba-114	23	6	in	in	ADP
faba-114	23	7	a	a	DET
faba-114	23	8	subsiding	subside	VERB
faba-114	23	9	covid-19	covid-19	PROPN
faba-114	23	10	pandemic	pandemic	ADJ
faba-114	23	11	,	,	PUNCT
faba-114	23	12	youth	youth	NOUN
faba-114	23	13	unemployment	unemployment	NOUN
faba-114	23	14	will	will	AUX
faba-114	23	15	continue	continue	VERB
faba-114	23	16	to	to	PART
faba-114	23	17	rise	rise	VERB
faba-114	23	18	.	.	PUNCT
faba-114	24	1	it	it	PRON
faba-114	24	2	will	will	AUX
faba-114	24	3	have	have	VERB
faba-114	24	4	the	the	DET
faba-114	24	5	strongest	strong	ADJ
faba-114	24	6	impact	impact	NOUN
faba-114	24	7	on	on	ADP
faba-114	24	8	those	those	PRON
faba-114	24	9	with	with	ADP
faba-114	24	10	the	the	DET
faba-114	24	11	lowest	low	ADJ
faba-114	24	12	form	form	NOUN
faba-114	24	13	of	of	ADP
faba-114	24	14	education	education	NOUN
faba-114	24	15	and	and	CCONJ
faba-114	24	16	to	to	ADP
faba-114	24	17	a	a	DET
faba-114	24	18	lesser	less	ADJ
faba-114	24	19	extent	extent	NOUN
faba-114	24	20	on	on	ADP
faba-114	24	21	those	those	PRON
faba-114	24	22	who	who	PRON
faba-114	24	23	have	have	AUX
faba-114	24	24	acquired	acquire	VERB
faba-114	24	25	higher	high	ADJ
faba-114	24	26	education	education	NOUN
faba-114	24	27	.	.	PUNCT
faba-114	25	1	the	the	DET
faba-114	25	2	scope	scope	NOUN
faba-114	25	3	of	of	ADP
faba-114	25	4	this	this	DET
faba-114	25	5	paper	paper	NOUN
faba-114	25	6	is	be	AUX
faba-114	25	7	to	to	PART
faba-114	25	8	examine	examine	VERB
faba-114	25	9	the	the	DET
faba-114	25	10	impact	impact	NOUN
faba-114	25	11	of	of	ADP
faba-114	25	12	covid-19	covid-19	PROPN
faba-114	25	13	on	on	ADP
faba-114	25	14	the	the	DET
faba-114	25	15	bulgarian	bulgarian	ADJ
faba-114	25	16	youth	youth	NOUN
faba-114	25	17	unemployment	unemployment	NOUN
faba-114	25	18	rate	rate	NOUN
faba-114	25	19	.	.	PUNCT
faba-114	26	1	in	in	ADP
faba-114	26	2	order	order	NOUN
faba-114	26	3	to	to	PART
faba-114	26	4	achieve	achieve	VERB
faba-114	26	5	this	this	DET
faba-114	26	6	goal	goal	NOUN
faba-114	26	7	,	,	PUNCT
faba-114	26	8	we	we	PRON
faba-114	26	9	must	must	AUX
faba-114	26	10	take	take	VERB
faba-114	26	11	into	into	ADP
faba-114	26	12	account	account	NOUN
faba-114	26	13	the	the	DET
faba-114	26	14	empirical	empirical	ADJ
faba-114	26	15	data	datum	NOUN
faba-114	26	16	on	on	ADP
faba-114	26	17	the	the	DET
faba-114	26	18	unemployment	unemployment	NOUN
faba-114	26	19	of	of	ADP
faba-114	26	20	the	the	DET
faba-114	26	21	population	population	NOUN
faba-114	26	22	aged	age	VERB
faba-114	26	23	between	between	ADP
faba-114	26	24	15	15	NUM
faba-114	26	25	-	-	SYM
faba-114	26	26	29	29	NUM
faba-114	26	27	,	,	PUNCT
faba-114	26	28	which	which	PRON
faba-114	26	29	is	be	AUX
faba-114	26	30	defined	define	VERB
faba-114	26	31	in	in	ADP
faba-114	26	32	the	the	DET
faba-114	26	33	article	article	NOUN
faba-114	26	34	as	as	ADP
faba-114	26	35	“	"	PUNCT
faba-114	26	36	young	young	ADJ
faba-114	26	37	people	people	NOUN
faba-114	26	38	”	"	PUNCT
faba-114	26	39	.	.	PUNCT
faba-114	27	1	our	our	PRON
faba-114	27	2	assumption	assumption	NOUN
faba-114	27	3	is	be	AUX
faba-114	27	4	that	that	SCONJ
faba-114	27	5	even	even	ADV
faba-114	27	6	in	in	ADP
faba-114	27	7	a	a	DET
faba-114	27	8	subsiding	subside	VERB
faba-114	27	9	covid-19	covid-19	PROPN
faba-114	27	10	pandemic	pandemic	ADJ
faba-114	27	11	,	,	PUNCT
faba-114	27	12	youth	youth	NOUN
faba-114	27	13	unemployment	unemployment	NOUN
faba-114	27	14	will	will	AUX
faba-114	27	15	continue	continue	VERB
faba-114	27	16	to	to	PART
faba-114	27	17	rise	rise	VERB
faba-114	27	18	.	.	PUNCT
faba-114	28	1	it	it	PRON
faba-114	28	2	will	will	AUX
faba-114	28	3	have	have	VERB
faba-114	28	4	the	the	DET
faba-114	28	5	strongest	strong	ADJ
faba-114	28	6	impact	impact	NOUN
faba-114	28	7	on	on	ADP
faba-114	28	8	those	those	PRON
faba-114	28	9	with	with	ADP
faba-114	28	10	the	the	DET
faba-114	28	11	lowest	low	ADJ
faba-114	28	12	form	form	NOUN
faba-114	28	13	of	of	ADP
faba-114	28	14	education	education	NOUN
faba-114	28	15	and	and	CCONJ
faba-114	28	16	to	to	ADP
faba-114	28	17	a	a	DET
faba-114	28	18	lesser	less	ADJ
faba-114	28	19	extent	extent	NOUN
faba-114	28	20	on	on	ADP
faba-114	28	21	those	those	PRON
faba-114	28	22	who	who	PRON
faba-114	28	23	have	have	AUX
faba-114	28	24	acquired	acquire	VERB
faba-114	28	25	higher	high	ADJ
faba-114	28	26	education	education	NOUN
faba-114	28	27	.	.	PUNCT
faba-114	29	1	literature	literature	NOUN
faba-114	29	2	review	review	VERB
faba-114	29	3	a	a	DET
faba-114	29	4	study	study	NOUN
faba-114	29	5	by	by	ADP
faba-114	29	6	the	the	DET
faba-114	29	7	resolution	resolution	NOUN
faba-114	29	8	foundation	foundation	NOUN
faba-114	29	9	(	(	PUNCT
faba-114	29	10	henehan	henehan	PROPN
faba-114	29	11	,	,	PUNCT
faba-114	29	12	2021	2021	NUM
faba-114	29	13	)	)	PUNCT
faba-114	29	14	established	establish	VERB
faba-114	29	15	that	that	SCONJ
faba-114	29	16	in	in	ADP
faba-114	29	17	may	may	PROPN
faba-114	29	18	2020	2020	NUM
faba-114	29	19	,	,	PUNCT
faba-114	29	20	a	a	DET
faba-114	29	21	third	third	NOUN
faba-114	29	22	of	of	ADP
faba-114	29	23	the	the	DET
faba-114	29	24	people	people	NOUN
faba-114	29	25	aged	age	VERB
faba-114	29	26	between	between	ADP
faba-114	29	27	18	18	NUM
faba-114	29	28	-	-	SYM
faba-114	29	29	24	24	NUM
faba-114	29	30	have	have	AUX
faba-114	29	31	been	be	AUX
faba-114	29	32	fired	fire	VERB
faba-114	29	33	or	or	CCONJ
faba-114	29	34	have	have	AUX
faba-114	29	35	lost	lose	VERB
faba-114	29	36	their	their	PRON
faba-114	29	37	main	main	ADJ
faba-114	29	38	job	job	NOUN
faba-114	29	39	.	.	PUNCT
faba-114	30	1	contrary	contrary	ADJ
faba-114	30	2	to	to	ADP
faba-114	30	3	popular	popular	ADJ
faba-114	30	4	belief	belief	NOUN
faba-114	30	5	,	,	PUNCT
faba-114	30	6	in	in	ADP
faba-114	30	7	2020	2020	NUM
faba-114	30	8	unemployment	unemployment	NOUN
faba-114	30	9	increased	increase	VERB
faba-114	30	10	for	for	ADP
faba-114	30	11	both	both	DET
faba-114	30	12	graduates	graduate	NOUN
faba-114	30	13	and	and	CCONJ
faba-114	30	14	non	non	NOUN
faba-114	30	15	-	-	NOUN
faba-114	30	16	graduates	graduate	NOUN
faba-114	30	17	(	(	PUNCT
faba-114	30	18	by	by	ADP
faba-114	30	19	the	the	DET
faba-114	30	20	same	same	ADJ
faba-114	30	21	percentage	percentage	NOUN
faba-114	30	22	)	)	PUNCT
faba-114	30	23	despite	despite	SCONJ
faba-114	30	24	the	the	DET
faba-114	30	25	numbers	number	NOUN
faba-114	30	26	of	of	ADP
faba-114	30	27	years	year	NOUN
faba-114	30	28	that	that	PRON
faba-114	30	29	have	have	AUX
faba-114	30	30	passed	pass	VERB
faba-114	30	31	since	since	SCONJ
faba-114	30	32	leaving	leave	VERB
faba-114	30	33	school	school	NOUN
faba-114	30	34	.	.	PUNCT
faba-114	31	1	for	for	ADP
faba-114	31	2	instance	instance	NOUN
faba-114	31	3	,	,	PUNCT
faba-114	31	4	among	among	ADP
faba-114	31	5	those	those	PRON
faba-114	31	6	who	who	PRON
faba-114	31	7	chose	choose	VERB
faba-114	31	8	to	to	PART
faba-114	31	9	discontinue	discontinue	VERB
faba-114	31	10	their	their	PRON
faba-114	31	11	education	education	NOUN
faba-114	31	12	a	a	DET
faba-114	31	13	year	year	NOUN
faba-114	31	14	earlier	early	ADV
faba-114	31	15	,	,	PUNCT
faba-114	31	16	the	the	DET
faba-114	31	17	unemployment	unemployment	NOUN
faba-114	31	18	rate	rate	NOUN
faba-114	31	19	has	have	AUX
faba-114	31	20	jumped	jump	VERB
faba-114	31	21	from	from	ADP
faba-114	31	22	14	14	NUM
faba-114	31	23	%	%	NOUN
faba-114	31	24	to	to	PART
faba-114	31	25	18	18	NUM
faba-114	31	26	%	%	NOUN
faba-114	31	27	between	between	ADP
faba-114	31	28	2019	2019	NUM
faba-114	31	29	and	and	CCONJ
faba-114	31	30	2020	2020	NUM
faba-114	31	31	.	.	PUNCT
faba-114	32	1	in	in	ADP
faba-114	32	2	addition	addition	NOUN
faba-114	32	3	,	,	PUNCT
faba-114	32	4	the	the	DET
faba-114	32	5	unemployment	unemployment	NOUN
faba-114	32	6	rate	rate	NOUN
faba-114	32	7	for	for	ADP
faba-114	32	8	graduates	graduate	NOUN
faba-114	32	9	rose	rise	VERB
faba-114	32	10	from	from	ADP
faba-114	32	11	10	10	NUM
faba-114	32	12	to	to	PART
faba-114	32	13	14	14	NUM
faba-114	32	14	%	%	NOUN
faba-114	32	15	.	.	PUNCT
faba-114	33	1	africanamericans	africanamerican	NOUN
faba-114	33	2	took	take	VERB
faba-114	33	3	the	the	DET
faba-114	33	4	biggest	big	ADJ
faba-114	33	5	hit	hit	NOUN
faba-114	33	6	;	;	PUNCT
faba-114	33	7	nearly	nearly	ADV
faba-114	33	8	one	one	NUM
faba-114	33	9	in	in	ADP
faba-114	33	10	three	three	NUM
faba-114	33	11	had	have	AUX
faba-114	33	12	recently	recently	ADV
faba-114	33	13	discontinued	discontinue	VERB
faba-114	33	14	their	their	PRON
faba-114	33	15	education	education	NOUN
faba-114	33	16	and	and	CCONJ
faba-114	33	17	were	be	AUX
faba-114	33	18	left	leave	VERB
faba-114	33	19	unemployed	unemployed	ADJ
faba-114	33	20	in	in	ADP
faba-114	33	21	2020	2020	NUM
faba-114	33	22	compared	compare	VERB
faba-114	33	23	to	to	ADP
faba-114	33	24	2019	2019	NUM
faba-114	33	25	.	.	PUNCT
faba-114	34	1	asians	asian	NOUN
faba-114	34	2	are	be	AUX
faba-114	34	3	in	in	ADP
faba-114	34	4	second	second	ADJ
faba-114	34	5	place	place	NOUN
faba-114	34	6	where	where	SCONJ
faba-114	34	7	one	one	NUM
faba-114	34	8	in	in	ADP
faba-114	34	9	four	four	NUM
faba-114	34	10	young	young	ADJ
faba-114	34	11	people	people	NOUN
faba-114	34	12	were	be	AUX
faba-114	34	13	left	leave	VERB
faba-114	34	14	unemployed	unemployed	ADJ
faba-114	34	15	in	in	ADP
faba-114	34	16	2020	2020	NUM
faba-114	34	17	compared	compare	VERB
faba-114	34	18	to	to	ADP
faba-114	34	19	2019	2019	NUM
faba-114	34	20	.	.	PUNCT
faba-114	35	1	another	another	DET
faba-114	35	2	study	study	NOUN
faba-114	35	3	is	be	AUX
faba-114	35	4	connected	connect	VERB
faba-114	35	5	to	to	ADP
faba-114	35	6	our	our	PRON
faba-114	35	7	neighbor	neighbor	NOUN
faba-114	35	8	greece	greece	PROPN
faba-114	35	9	(	(	PUNCT
faba-114	35	10	katris	katris	PROPN
faba-114	35	11	,	,	PUNCT
faba-114	35	12	2021	2021	NUM
faba-114	35	13	)	)	PUNCT
faba-114	35	14	.	.	PUNCT
faba-114	36	1	the	the	DET
faba-114	36	2	conducted	conduct	VERB
faba-114	36	3	study	study	NOUN
faba-114	36	4	examines	examine	VERB
faba-114	36	5	the	the	DET
faba-114	36	6	unemployment	unemployment	NOUN
faba-114	36	7	in	in	ADP
faba-114	36	8	greece	greece	PROPN
faba-114	36	9	compared	compare	VERB
faba-114	36	10	to	to	ADP
faba-114	36	11	that	that	PRON
faba-114	36	12	of	of	ADP
faba-114	36	13	the	the	DET
faba-114	36	14	european	european	PROPN
faba-114	36	15	union	union	PROPN
faba-114	36	16	.	.	PUNCT
faba-114	37	1	youth	youth	NOUN
faba-114	37	2	unemployment	unemployment	NOUN
faba-114	37	3	is	be	AUX
faba-114	37	4	in	in	ADP
faba-114	37	5	part	part	NOUN
faba-114	37	6	also	also	ADV
faba-114	37	7	touched	touch	VERB
faba-114	37	8	upon	upon	SCONJ
faba-114	37	9	.	.	PUNCT
faba-114	38	1	the	the	DET
faba-114	38	2	analysis	analysis	NOUN
faba-114	38	3	studies	study	NOUN
faba-114	38	4	what	what	PRON
faba-114	38	5	the	the	DET
faba-114	38	6	possible	possible	ADJ
faba-114	38	7	consequences	consequence	NOUN
faba-114	38	8	of	of	ADP
faba-114	38	9	covid-19	covid-19	PROPN
faba-114	38	10	could	could	AUX
faba-114	38	11	be	be	AUX
faba-114	38	12	on	on	ADP
faba-114	38	13	the	the	DET
faba-114	38	14	unemployment	unemployment	NOUN
faba-114	38	15	rate	rate	NOUN
faba-114	38	16	among	among	ADP
faba-114	38	17	a	a	DET
faba-114	38	18	variety	variety	NOUN
faba-114	38	19	of	of	ADP
faba-114	38	20	groups	group	NOUN
faba-114	38	21	–	–	PUNCT
faba-114	38	22	young	young	ADJ
faba-114	38	23	people	people	NOUN
faba-114	38	24	,	,	PUNCT
faba-114	38	25	men	man	NOUN
faba-114	38	26	,	,	PUNCT
faba-114	38	27	women	woman	NOUN
faba-114	38	28	,	,	PUNCT
faba-114	38	29	etc	etc	X
faba-114	38	30	.	.	X
faba-114	39	1	the	the	DET
faba-114	39	2	findings	finding	NOUN
faba-114	39	3	show	show	VERB
faba-114	39	4	that	that	SCONJ
faba-114	39	5	greece	greece	PROPN
faba-114	39	6	will	will	AUX
faba-114	39	7	be	be	AUX
faba-114	39	8	less	less	ADV
faba-114	39	9	affected	affected	ADJ
faba-114	39	10	than	than	ADP
faba-114	39	11	the	the	DET
faba-114	39	12	european	european	PROPN
faba-114	39	13	union	union	PROPN
faba-114	39	14	.	.	PUNCT
faba-114	40	1	unemployment	unemployment	NOUN
faba-114	40	2	among	among	ADP
faba-114	40	3	women	woman	NOUN
faba-114	40	4	in	in	ADP
faba-114	40	5	greece	greece	PROPN
faba-114	40	6	and	and	CCONJ
faba-114	40	7	youth	youth	NOUN
faba-114	40	8	unemployment	unemployment	NOUN
faba-114	40	9	in	in	ADP
faba-114	40	10	eu27	eu27	PROPN
faba-114	40	11	are	be	AUX
faba-114	40	12	expected	expect	VERB
faba-114	40	13	to	to	PART
faba-114	40	14	take	take	VERB
faba-114	40	15	the	the	DET
faba-114	40	16	biggest	big	ADJ
faba-114	40	17	hit	hit	NOUN
faba-114	40	18	from	from	ADP
faba-114	40	19	covid-19	covid-19	PROPN
faba-114	40	20	,	,	PUNCT
faba-114	40	21	which	which	PRON
faba-114	40	22	suggests	suggest	VERB
faba-114	40	23	the	the	DET
faba-114	40	24	need	need	NOUN
faba-114	40	25	for	for	SCONJ
faba-114	40	26	policy	policy	NOUN
faba-114	40	27	measures	measure	NOUN
faba-114	40	28	to	to	PART
faba-114	40	29	be	be	AUX
faba-114	40	30	adopted	adopt	VERB
faba-114	40	31	in	in	ADP
faba-114	40	32	order	order	NOUN
faba-114	40	33	to	to	PART
faba-114	40	34	alleviate	alleviate	VERB
faba-114	40	35	the	the	DET
faba-114	40	36	effect	effect	NOUN
faba-114	40	37	it	it	PRON
faba-114	40	38	will	will	AUX
faba-114	40	39	have	have	VERB
faba-114	40	40	on	on	ADP
faba-114	40	41	the	the	DET
faba-114	40	42	said	say	VERB
faba-114	40	43	groups	group	NOUN
faba-114	40	44	.	.	PUNCT
faba-114	41	1	methods	method	NOUN
faba-114	41	2	the	the	DET
faba-114	41	3	unemployed	unemployed	ADJ
faba-114	41	4	and	and	CCONJ
faba-114	41	5	unemployment	unemployment	NOUN
faba-114	41	6	rate	rate	NOUN
faba-114	41	7	the	the	DET
faba-114	41	8	levels	level	NOUN
faba-114	41	9	of	of	ADP
faba-114	41	10	employment	employment	NOUN
faba-114	41	11	and	and	CCONJ
faba-114	41	12	unemployment	unemployment	NOUN
faba-114	41	13	characterize	characterize	VERB
faba-114	41	14	the	the	DET
faba-114	41	15	state	state	NOUN
faba-114	41	16	of	of	ADP
faba-114	41	17	a	a	DET
faba-114	41	18	given	give	VERB
faba-114	41	19	labor	labor	NOUN
faba-114	41	20	market	market	NOUN
faba-114	41	21	.	.	PUNCT
faba-114	42	1	together	together	ADV
faba-114	42	2	they	they	PRON
faba-114	42	3	form	form	VERB
faba-114	42	4	the	the	DET
faba-114	42	5	labor	labor	NOUN
faba-114	42	6	force	force	NOUN
faba-114	42	7	(	(	PUNCT
faba-114	42	8	the	the	DET
faba-114	42	9	presently	presently	ADV
faba-114	42	10	economically	economically	ADV
faba-114	42	11	active	active	ADJ
faba-114	42	12	part	part	NOUN
faba-114	42	13	of	of	ADP
faba-114	42	14	the	the	DET
faba-114	42	15	population	population	NOUN
faba-114	42	16	)	)	PUNCT
faba-114	42	17	–	–	PUNCT
faba-114	42	18	all	all	DET
faba-114	42	19	people	people	NOUN
faba-114	42	20	of	of	ADP
faba-114	42	21	working	work	VERB
faba-114	42	22	age	age	NOUN
faba-114	42	23	who	who	PRON
faba-114	42	24	put	put	VERB
faba-114	42	25	in	in	ADP
faba-114	42	26	or	or	CCONJ
faba-114	42	27	offer	offer	VERB
faba-114	42	28	their	their	PRON
faba-114	42	29	labor	labor	NOUN
faba-114	42	30	for	for	ADP
faba-114	42	31	the	the	DET
faba-114	42	32	production	production	NOUN
faba-114	42	33	of	of	ADP
faba-114	42	34	goods	good	NOUN
faba-114	42	35	and	and	CCONJ
faba-114	42	36	services	service	NOUN
faba-114	42	37	(	(	PUNCT
faba-114	42	38	methodology	methodology	NOUN
faba-114	42	39	of	of	ADP
faba-114	42	40	“	"	PUNCT
faba-114	42	41	monitoring	monitoring	NOUN
faba-114	42	42	of	of	ADP
faba-114	42	43	the	the	DET
faba-114	42	44	labor	labor	NOUN
faba-114	42	45	force	force	NOUN
faba-114	42	46	”	"	PUNCT
faba-114	42	47	,	,	PUNCT
faba-114	42	48	nsi	nsi	PROPN
faba-114	42	49	)	)	PUNCT
faba-114	42	50	.	.	PUNCT
faba-114	43	1	of	of	ADP
faba-114	43	2	key	key	ADJ
faba-114	43	3	importance	importance	NOUN
faba-114	43	4	in	in	ADP
faba-114	43	5	the	the	DET
faba-114	43	6	analysis	analysis	NOUN
faba-114	43	7	of	of	ADP
faba-114	43	8	the	the	DET
faba-114	43	9	labor	labor	NOUN
faba-114	43	10	market	market	NOUN
faba-114	43	11	is	be	AUX
faba-114	43	12	the	the	DET
faba-114	43	13	clear	clear	ADJ
faba-114	43	14	definition	definition	NOUN
faba-114	43	15	and	and	CCONJ
faba-114	43	16	identification	identification	NOUN
faba-114	43	17	of	of	ADP
faba-114	43	18	the	the	DET
faba-114	43	19	unemployed	unemployed	ADJ
faba-114	43	20	individuals	individual	NOUN
faba-114	43	21	.	.	PUNCT
faba-114	44	1	1	1	NUM
faba-114	45	1	according	accord	VERB
faba-114	45	2	to	to	ADP
faba-114	45	3	the	the	DET
faba-114	45	4	bulgarian	bulgarian	ADJ
faba-114	45	5	legislation	legislation	NOUN
faba-114	45	6	,	,	PUNCT
faba-114	45	7	and	and	CCONJ
faba-114	45	8	in	in	ADP
faba-114	45	9	particular	particular	ADJ
faba-114	45	10	the	the	DET
faba-114	45	11	"	"	PUNCT
faba-114	45	12	law	law	NOUN
faba-114	45	13	on	on	ADP
faba-114	45	14	youth	youth	NOUN
faba-114	45	15	"	"	PUNCT
faba-114	45	16	in	in	ADP
faba-114	45	17	bulgaria	bulgaria	PROPN
faba-114	45	18	,	,	PUNCT
faba-114	45	19	it	it	PRON
faba-114	45	20	is	be	AUX
faba-114	45	21	accepted	accept	VERB
faba-114	45	22	that	that	SCONJ
faba-114	45	23	the	the	DET
faba-114	45	24	population	population	NOUN
faba-114	45	25	in	in	ADP
faba-114	45	26	the	the	DET
faba-114	45	27	age	age	NOUN
faba-114	45	28	between	between	ADP
faba-114	45	29	15	15	NUM
faba-114	45	30	and	and	CCONJ
faba-114	45	31	29	29	NUM
faba-114	45	32	should	should	AUX
faba-114	45	33	be	be	AUX
faba-114	45	34	included	include	VERB
faba-114	45	35	in	in	ADP
faba-114	45	36	the	the	DET
faba-114	45	37	group	group	NOUN
faba-114	45	38	of	of	ADP
faba-114	45	39	"	"	PUNCT
faba-114	45	40	young	young	ADJ
faba-114	45	41	people	people	NOUN
faba-114	45	42	"	"	PUNCT
faba-114	45	43	.	.	PUNCT
faba-114	46	1	finance	finance	NOUN
faba-114	46	2	,	,	PUNCT
faba-114	46	3	accounting	accounting	NOUN
faba-114	46	4	and	and	CCONJ
faba-114	46	5	business	business	NOUN
faba-114	46	6	analysis	analysis	NOUN
faba-114	46	7	4	4	NUM
faba-114	46	8	(	(	PUNCT
faba-114	46	9	1	1	NUM
faba-114	46	10	)	)	PUNCT
faba-114	46	11	2022	2022	NUM
faba-114	46	12	28	28	NUM
faba-114	46	13	according	accord	VERB
faba-114	46	14	to	to	ADP
faba-114	46	15	the	the	DET
faba-114	46	16	methodology	methodology	NOUN
faba-114	46	17	of	of	ADP
faba-114	46	18	the	the	DET
faba-114	46	19	periodic	periodic	ADJ
faba-114	46	20	labor	labor	NOUN
faba-114	46	21	force	force	NOUN
faba-114	46	22	surveys	survey	NOUN
faba-114	46	23	(	(	PUNCT
faba-114	46	24	plfs	plfs	NOUN
faba-114	46	25	)	)	PUNCT
faba-114	46	26	conducted	conduct	VERB
faba-114	46	27	by	by	ADP
faba-114	46	28	eurostat	eurostat	PROPN
faba-114	46	29	unemployed	unemployed	ADJ
faba-114	46	30	individuals	individual	NOUN
faba-114	46	31	are	be	AUX
faba-114	46	32	those	those	PRON
faba-114	46	33	aged	aged	ADJ
faba-114	46	34	15	15	NUM
faba-114	46	35	to	to	ADP
faba-114	46	36	74	74	NUM
faba-114	46	37	who	who	PRON
faba-114	46	38	simultaneously	simultaneously	ADV
faba-114	46	39	meet	meet	VERB
faba-114	46	40	the	the	DET
faba-114	46	41	following	follow	VERB
faba-114	46	42	criteria	criterion	NOUN
faba-114	46	43	:	:	PUNCT
faba-114	46	44	firstly	firstly	ADV
faba-114	46	45	,	,	PUNCT
faba-114	46	46	they	they	PRON
faba-114	46	47	have	have	VERB
faba-114	46	48	no	no	DET
faba-114	46	49	job	job	NOUN
faba-114	46	50	in	in	ADP
faba-114	46	51	the	the	DET
faba-114	46	52	week	week	NOUN
faba-114	46	53	of	of	ADP
faba-114	46	54	the	the	DET
faba-114	46	55	survey	survey	NOUN
faba-114	46	56	;	;	PUNCT
faba-114	46	57	secondly	secondly	ADV
faba-114	46	58	,	,	PUNCT
faba-114	46	59	they	they	PRON
faba-114	46	60	have	have	AUX
faba-114	46	61	actively	actively	ADV
faba-114	46	62	looked	look	VERB
faba-114	46	63	for	for	ADP
faba-114	46	64	a	a	DET
faba-114	46	65	job	job	NOUN
faba-114	46	66	in	in	ADP
faba-114	46	67	the	the	DET
faba-114	46	68	previous	previous	ADJ
faba-114	46	69	four	four	NUM
faba-114	46	70	weeks	week	NOUN
faba-114	46	71	;	;	PUNCT
faba-114	46	72	thirdly	thirdly	ADV
faba-114	46	73	,	,	PUNCT
faba-114	46	74	they	they	PRON
faba-114	46	75	are	be	AUX
faba-114	46	76	available	available	ADJ
faba-114	46	77	to	to	PART
faba-114	46	78	start	start	VERB
faba-114	46	79	working	work	VERB
faba-114	46	80	in	in	ADP
faba-114	46	81	the	the	DET
faba-114	46	82	following	follow	VERB
faba-114	46	83	three	three	NUM
faba-114	46	84	months	month	NOUN
faba-114	46	85	(	(	PUNCT
faba-114	46	86	eurostat	eurostat	PROPN
faba-114	46	87	)	)	PUNCT
faba-114	46	88	.	.	PUNCT
faba-114	47	1	therefore	therefore	ADV
faba-114	47	2	,	,	PUNCT
faba-114	47	3	the	the	DET
faba-114	47	4	primary	primary	ADJ
faba-114	47	5	criteria	criterion	NOUN
faba-114	47	6	,	,	PUNCT
faba-114	47	7	used	use	VERB
faba-114	47	8	to	to	PART
faba-114	47	9	identify	identify	VERB
faba-114	47	10	an	an	DET
faba-114	47	11	unemployed	unemployed	ADJ
faba-114	47	12	individual	individual	NOUN
faba-114	47	13	,	,	PUNCT
faba-114	47	14	are	be	AUX
faba-114	47	15	to	to	PART
faba-114	47	16	not	not	PART
faba-114	47	17	have	have	VERB
faba-114	47	18	a	a	DET
faba-114	47	19	job	job	NOUN
faba-114	47	20	at	at	ADP
faba-114	47	21	the	the	DET
faba-114	47	22	moment	moment	NOUN
faba-114	47	23	,	,	PUNCT
faba-114	47	24	to	to	PART
faba-114	47	25	have	have	AUX
faba-114	47	26	actively	actively	ADV
faba-114	47	27	looked	look	VERB
faba-114	47	28	for	for	ADP
faba-114	47	29	one	one	NUM
faba-114	47	30	and	and	CCONJ
faba-114	47	31	to	to	PART
faba-114	47	32	have	have	VERB
faba-114	47	33	the	the	DET
faba-114	47	34	necessary	necessary	ADJ
faba-114	47	35	skills	skill	NOUN
faba-114	47	36	to	to	ADP
faba-114	47	37	work	work	NOUN
faba-114	47	38	.	.	PUNCT
faba-114	48	1	these	these	DET
faba-114	48	2	principles	principle	NOUN
faba-114	48	3	are	be	AUX
faba-114	48	4	written	write	VERB
faba-114	48	5	down	down	ADP
faba-114	48	6	in	in	ADP
faba-114	48	7	a	a	DET
faba-114	48	8	separate	separate	ADJ
faba-114	48	9	resolution	resolution	NOUN
faba-114	48	10	of	of	ADP
faba-114	48	11	the	the	DET
faba-114	48	12	ilo	ilo	PROPN
faba-114	48	13	(	(	PUNCT
faba-114	48	14	pavlov	pavlov	PROPN
faba-114	48	15	,	,	PUNCT
faba-114	48	16	2008	2008	NUM
faba-114	48	17	)	)	PUNCT
faba-114	48	18	and	and	CCONJ
faba-114	48	19	have	have	AUX
faba-114	48	20	been	be	AUX
faba-114	48	21	adopted	adopt	VERB
faba-114	48	22	by	by	ADP
faba-114	48	23	almost	almost	ADV
faba-114	48	24	all	all	PRON
faba-114	48	25	market	market	NOUN
faba-114	48	26	economies	economy	NOUN
faba-114	48	27	in	in	ADP
faba-114	48	28	the	the	DET
faba-114	48	29	world	world	NOUN
faba-114	48	30	,	,	PUNCT
faba-114	48	31	bulgaria	bulgaria	PROPN
faba-114	48	32	included	include	VERB
faba-114	48	33	.	.	PUNCT
faba-114	49	1	there	there	PRON
faba-114	49	2	are	be	VERB
faba-114	49	3	two	two	NUM
faba-114	49	4	state	state	NOUN
faba-114	49	5	institutions	institution	NOUN
faba-114	49	6	in	in	ADP
faba-114	49	7	bulgaria	bulgaria	PROPN
faba-114	49	8	,	,	PUNCT
faba-114	49	9	which	which	PRON
faba-114	49	10	gather	gather	VERB
faba-114	49	11	,	,	PUNCT
faba-114	49	12	summarize	summarize	VERB
faba-114	49	13	,	,	PUNCT
faba-114	49	14	and	and	CCONJ
faba-114	49	15	analyze	analyze	VERB
faba-114	49	16	information	information	NOUN
faba-114	49	17	regarding	regard	VERB
faba-114	49	18	unemployment	unemployment	NOUN
faba-114	49	19	–	–	PUNCT
faba-114	49	20	the	the	DET
faba-114	49	21	employment	employment	NOUN
faba-114	49	22	agency	agency	NOUN
faba-114	49	23	(	(	PUNCT
faba-114	49	24	ea	ea	NOUN
faba-114	49	25	)	)	PUNCT
faba-114	49	26	at	at	ADP
faba-114	49	27	the	the	DET
faba-114	49	28	ministry	ministry	PROPN
faba-114	49	29	of	of	ADP
faba-114	49	30	labor	labor	NOUN
faba-114	49	31	and	and	CCONJ
faba-114	49	32	social	social	ADJ
faba-114	49	33	policy	policy	NOUN
faba-114	49	34	(	(	PUNCT
faba-114	49	35	mlsp	mlsp	NOUN
faba-114	49	36	)	)	PUNCT
faba-114	49	37	and	and	CCONJ
faba-114	49	38	the	the	DET
faba-114	49	39	national	national	ADJ
faba-114	49	40	statistical	statistical	PROPN
faba-114	49	41	institute	institute	PROPN
faba-114	49	42	(	(	PUNCT
faba-114	49	43	nsi	nsi	PROPN
faba-114	49	44	)	)	PUNCT
faba-114	49	45	.	.	PUNCT
faba-114	50	1	however	however	ADV
faba-114	50	2	,	,	PUNCT
faba-114	50	3	the	the	DET
faba-114	50	4	methodologies	methodology	NOUN
faba-114	50	5	of	of	ADP
faba-114	50	6	the	the	DET
faba-114	50	7	two	two	NUM
faba-114	50	8	institutions	institution	NOUN
faba-114	50	9	differ	differ	VERB
faba-114	50	10	drastically	drastically	ADV
faba-114	50	11	.	.	PUNCT
faba-114	51	1	the	the	DET
faba-114	51	2	ea	ea	PROPN
faba-114	51	3	’s	’s	PART
faba-114	51	4	methodology	methodology	NOUN
faba-114	51	5	of	of	ADP
faba-114	51	6	determining	determine	VERB
faba-114	51	7	unemployment	unemployment	NOUN
faba-114	51	8	is	be	AUX
faba-114	51	9	based	base	VERB
faba-114	51	10	on	on	ADP
faba-114	51	11	a	a	DET
faba-114	51	12	monthly	monthly	ADJ
faba-114	51	13	registration	registration	NOUN
faba-114	51	14	through	through	ADP
faba-114	51	15	an	an	DET
faba-114	51	16	“	"	PUNCT
faba-114	51	17	administrative	administrative	ADJ
faba-114	51	18	system	system	NOUN
faba-114	51	19	”	"	PUNCT
faba-114	51	20	(	(	PUNCT
faba-114	51	21	in	in	ADP
faba-114	51	22	labor	labor	NOUN
faba-114	51	23	offices	office	NOUN
faba-114	51	24	)	)	PUNCT
faba-114	51	25	of	of	ADP
faba-114	51	26	jobless	jobless	ADJ
faba-114	51	27	individuals	individual	NOUN
faba-114	51	28	and	and	CCONJ
faba-114	51	29	those	those	PRON
faba-114	51	30	on	on	ADP
faba-114	51	31	unemployment	unemployment	NOUN
faba-114	51	32	benefits	benefit	NOUN
faba-114	51	33	(	(	PUNCT
faba-114	51	34	employment	employment	NOUN
faba-114	51	35	agency	agency	NOUN
faba-114	51	36	)	)	PUNCT
faba-114	51	37	.	.	PUNCT
faba-114	52	1	ea	ea	NOUN
faba-114	52	2	data	datum	NOUN
faba-114	52	3	have	have	VERB
faba-114	52	4	certain	certain	ADJ
faba-114	52	5	advantages	advantage	NOUN
faba-114	52	6	related	relate	VERB
faba-114	52	7	to	to	ADP
faba-114	52	8	the	the	DET
faba-114	52	9	frequency	frequency	NOUN
faba-114	52	10	of	of	ADP
faba-114	52	11	collecting	collecting	NOUN
faba-114	52	12	,	,	PUNCT
faba-114	52	13	processing	processing	NOUN
faba-114	52	14	,	,	PUNCT
faba-114	52	15	and	and	CCONJ
faba-114	52	16	announcing	announce	VERB
faba-114	52	17	–	–	PUNCT
faba-114	52	18	all	all	PRON
faba-114	52	19	done	do	VERB
faba-114	52	20	monthly	monthly	ADV
faba-114	52	21	.	.	PUNCT
faba-114	53	1	the	the	DET
faba-114	53	2	information	information	NOUN
faba-114	53	3	includes	include	VERB
faba-114	53	4	important	important	ADJ
faba-114	53	5	demographic	demographic	ADJ
faba-114	53	6	characteristics	characteristic	NOUN
faba-114	53	7	such	such	ADJ
faba-114	53	8	as	as	ADP
faba-114	53	9	sex	sex	NOUN
faba-114	53	10	,	,	PUNCT
faba-114	53	11	age	age	NOUN
faba-114	53	12	,	,	PUNCT
faba-114	53	13	level	level	NOUN
faba-114	53	14	of	of	ADP
faba-114	53	15	education	education	NOUN
faba-114	53	16	,	,	PUNCT
faba-114	53	17	location	location	NOUN
faba-114	53	18	,	,	PUNCT
faba-114	53	19	etc	etc	X
faba-114	53	20	.	.	X
faba-114	53	21	for	for	ADP
faba-114	53	22	each	each	DET
faba-114	53	23	registered	register	VERB
faba-114	53	24	unemployed	unemployed	ADJ
faba-114	53	25	individual	individual	NOUN
faba-114	53	26	.	.	PUNCT
faba-114	54	1	in	in	ADP
faba-114	54	2	spite	spite	NOUN
faba-114	54	3	of	of	ADP
faba-114	54	4	the	the	DET
faba-114	54	5	reliability	reliability	NOUN
faba-114	54	6	of	of	ADP
faba-114	54	7	the	the	DET
faba-114	54	8	data	datum	NOUN
faba-114	54	9	,	,	PUNCT
faba-114	54	10	collected	collect	VERB
faba-114	54	11	by	by	ADP
faba-114	54	12	the	the	DET
faba-114	54	13	ea	ea	NOUN
faba-114	54	14	,	,	PUNCT
faba-114	54	15	there	there	PRON
faba-114	54	16	are	be	VERB
faba-114	54	17	certain	certain	ADJ
faba-114	54	18	weaknesses	weakness	NOUN
faba-114	54	19	in	in	ADP
faba-114	54	20	the	the	DET
faba-114	54	21	approach	approach	NOUN
faba-114	54	22	the	the	DET
faba-114	54	23	agency	agency	NOUN
faba-114	54	24	uses	use	VERB
faba-114	54	25	.	.	PUNCT
faba-114	55	1	firstly	firstly	ADV
faba-114	55	2	,	,	PUNCT
faba-114	55	3	the	the	DET
faba-114	55	4	data	datum	NOUN
faba-114	55	5	does	do	AUX
faba-114	55	6	not	not	PART
faba-114	55	7	include	include	VERB
faba-114	55	8	unemployed	unemployed	ADJ
faba-114	55	9	individuals	individual	NOUN
faba-114	55	10	who	who	PRON
faba-114	55	11	are	be	AUX
faba-114	55	12	not	not	PART
faba-114	55	13	registered	register	VERB
faba-114	55	14	with	with	ADP
faba-114	55	15	labor	labor	NOUN
faba-114	55	16	offices	office	NOUN
faba-114	55	17	.	.	PUNCT
faba-114	56	1	secondly	secondly	ADV
faba-114	56	2	,	,	PUNCT
faba-114	56	3	it	it	PRON
faba-114	56	4	is	be	AUX
faba-114	56	5	possible	possible	ADJ
faba-114	56	6	for	for	SCONJ
faba-114	56	7	some	some	PRON
faba-114	56	8	of	of	ADP
faba-114	56	9	the	the	DET
faba-114	56	10	unemployed	unemployed	ADJ
faba-114	56	11	to	to	PART
faba-114	56	12	register	register	VERB
faba-114	56	13	in	in	ADP
faba-114	56	14	order	order	NOUN
faba-114	56	15	to	to	PART
faba-114	56	16	receive	receive	VERB
faba-114	56	17	unemployment	unemployment	NOUN
faba-114	56	18	benefits	benefit	NOUN
faba-114	56	19	while	while	SCONJ
faba-114	56	20	simultaneously	simultaneously	ADV
faba-114	56	21	working	work	VERB
faba-114	56	22	on	on	ADP
faba-114	56	23	the	the	DET
faba-114	56	24	grey	grey	ADJ
faba-114	56	25	market	market	NOUN
faba-114	56	26	.	.	PUNCT
faba-114	57	1	therefore	therefore	ADV
faba-114	57	2	,	,	PUNCT
faba-114	57	3	in	in	ADP
faba-114	57	4	practice	practice	NOUN
faba-114	57	5	,	,	PUNCT
faba-114	57	6	the	the	DET
faba-114	57	7	unemployment	unemployment	NOUN
faba-114	57	8	level	level	NOUN
faba-114	57	9	determined	determine	VERB
faba-114	57	10	by	by	ADP
faba-114	57	11	the	the	DET
faba-114	57	12	ea	ea	PROPN
faba-114	57	13	’s	’s	NOUN
faba-114	57	14	administrative	administrative	ADJ
faba-114	57	15	system	system	NOUN
faba-114	57	16	for	for	ADP
faba-114	57	17	registration	registration	NOUN
faba-114	57	18	may	may	AUX
faba-114	57	19	be	be	AUX
faba-114	57	20	far	far	ADV
faba-114	57	21	lower	low	ADJ
faba-114	57	22	than	than	ADP
faba-114	57	23	its	its	PRON
faba-114	57	24	real	real	ADJ
faba-114	57	25	value	value	NOUN
faba-114	57	26	.	.	PUNCT
faba-114	58	1	unlike	unlike	ADP
faba-114	58	2	the	the	DET
faba-114	58	3	methodology	methodology	NOUN
faba-114	58	4	of	of	ADP
faba-114	58	5	the	the	DET
faba-114	58	6	ea	ea	NOUN
faba-114	58	7	,	,	PUNCT
faba-114	58	8	which	which	PRON
faba-114	58	9	is	be	AUX
faba-114	58	10	generally	generally	ADV
faba-114	58	11	based	base	VERB
faba-114	58	12	on	on	ADP
faba-114	58	13	the	the	DET
faba-114	58	14	voluntary	voluntary	ADJ
faba-114	58	15	registration	registration	NOUN
faba-114	58	16	of	of	ADP
faba-114	58	17	unemployed	unemployed	ADJ
faba-114	58	18	individuals	individual	NOUN
faba-114	58	19	in	in	ADP
faba-114	58	20	labor	labor	NOUN
faba-114	58	21	offices	office	NOUN
faba-114	58	22	,	,	PUNCT
faba-114	58	23	the	the	DET
faba-114	58	24	nsi	nsi	NOUN
faba-114	58	25	methodology	methodology	NOUN
faba-114	58	26	consists	consist	VERB
faba-114	58	27	of	of	ADP
faba-114	58	28	observations	observation	NOUN
faba-114	58	29	of	of	ADP
faba-114	58	30	the	the	DET
faba-114	58	31	labor	labor	NOUN
faba-114	58	32	force	force	NOUN
faba-114	58	33	via	via	ADP
faba-114	58	34	a	a	DET
faba-114	58	35	sample	sample	NOUN
faba-114	58	36	statistical	statistical	ADJ
faba-114	58	37	survey	survey	NOUN
faba-114	58	38	including	include	VERB
faba-114	58	39	2438	2438	NUM
faba-114	58	40	nests	nest	NOUN
faba-114	58	41	(	(	PUNCT
faba-114	58	42	census	census	NOUN
faba-114	58	43	sections	section	NOUN
faba-114	58	44	)	)	PUNCT
faba-114	58	45	and	and	CCONJ
faba-114	58	46	19504	19504	NUM
faba-114	58	47	regular	regular	ADJ
faba-114	58	48	households	household	NOUN
faba-114	58	49	.	.	PUNCT
faba-114	59	1	according	accord	VERB
faba-114	59	2	to	to	ADP
faba-114	59	3	the	the	DET
faba-114	59	4	methodology	methodology	NOUN
faba-114	59	5	of	of	ADP
faba-114	59	6	monitoring	monitoring	NOUN
faba-114	59	7	of	of	ADP
faba-114	59	8	national	national	ADJ
faba-114	59	9	statistics	statistic	NOUN
faba-114	59	10	,	,	PUNCT
faba-114	59	11	in	in	ADP
faba-114	59	12	line	line	NOUN
faba-114	59	13	with	with	ADP
faba-114	59	14	ilo	ilo	NOUN
faba-114	59	15	recommendations	recommendation	NOUN
faba-114	59	16	and	and	CCONJ
faba-114	59	17	eurostat	eurostat	PROPN
faba-114	59	18	requirements	requirement	NOUN
faba-114	59	19	,	,	PUNCT
faba-114	59	20	unemployed	unemployed	ADJ
faba-114	59	21	are	be	AUX
faba-114	59	22	those	those	DET
faba-114	59	23	individuals	individual	NOUN
faba-114	59	24	aged	age	VERB
faba-114	59	25	15	15	NUM
faba-114	59	26	to	to	ADP
faba-114	59	27	74	74	NUM
faba-114	59	28	who	who	PRON
faba-114	59	29	do	do	AUX
faba-114	59	30	not	not	PART
faba-114	59	31	have	have	VERB
faba-114	59	32	a	a	DET
faba-114	59	33	job	job	NOUN
faba-114	59	34	in	in	ADP
faba-114	59	35	the	the	DET
faba-114	59	36	calendar	calendar	NOUN
faba-114	59	37	week	week	NOUN
faba-114	59	38	of	of	ADP
faba-114	59	39	the	the	DET
faba-114	59	40	survey	survey	NOUN
faba-114	59	41	but	but	CCONJ
faba-114	59	42	are	be	AUX
faba-114	59	43	actively	actively	ADV
faba-114	59	44	looking	look	VERB
faba-114	59	45	for	for	ADP
faba-114	59	46	one	one	NUM
faba-114	59	47	over	over	ADP
faba-114	59	48	a	a	DET
faba-114	59	49	four	four	NUM
faba-114	59	50	-	-	PUNCT
faba-114	59	51	week	week	NOUN
faba-114	59	52	period	period	NOUN
faba-114	59	53	and	and	CCONJ
faba-114	59	54	are	be	AUX
faba-114	59	55	available	available	ADJ
faba-114	59	56	to	to	PART
faba-114	59	57	start	start	VERB
faba-114	59	58	work	work	NOUN
faba-114	59	59	within	within	ADP
faba-114	59	60	two	two	NUM
faba-114	59	61	weeks	week	NOUN
faba-114	59	62	of	of	ADP
faba-114	59	63	the	the	DET
faba-114	59	64	observed	observed	ADJ
faba-114	59	65	period	period	NOUN
faba-114	59	66	(	(	PUNCT
faba-114	59	67	“	"	PUNCT
faba-114	59	68	labor	labor	NOUN
faba-114	59	69	force	force	NOUN
faba-114	59	70	survey	survey	NOUN
faba-114	59	71	”	"	PUNCT
faba-114	59	72	methodology	methodology	NOUN
faba-114	59	73	,	,	PUNCT
faba-114	59	74	nsi	nsi	PROPN
faba-114	59	75	)	)	PUNCT
faba-114	59	76	.	.	PUNCT
faba-114	60	1	when	when	SCONJ
faba-114	60	2	it	it	PRON
faba-114	60	3	comes	come	VERB
faba-114	60	4	to	to	ADP
faba-114	60	5	calculating	calculate	VERB
faba-114	60	6	the	the	DET
faba-114	60	7	unemployment	unemployment	NOUN
faba-114	60	8	rate	rate	NOUN
faba-114	60	9	,	,	PUNCT
faba-114	60	10	the	the	DET
faba-114	60	11	two	two	NUM
faba-114	60	12	institutions	institution	NOUN
faba-114	60	13	of	of	ADP
faba-114	60	14	bulgaria	bulgaria	PROPN
faba-114	60	15	,	,	PUNCT
faba-114	60	16	the	the	DET
faba-114	60	17	ea	ea	NOUN
faba-114	60	18	and	and	CCONJ
faba-114	60	19	the	the	DET
faba-114	60	20	nsi	nsi	NOUN
faba-114	60	21	,	,	PUNCT
faba-114	60	22	also	also	ADV
faba-114	60	23	use	use	VERB
faba-114	60	24	different	different	ADJ
faba-114	60	25	methodologies	methodology	NOUN
faba-114	60	26	.	.	PUNCT
faba-114	61	1	the	the	DET
faba-114	61	2	ea	ea	NOUN
faba-114	61	3	calculates	calculate	VERB
faba-114	61	4	the	the	DET
faba-114	61	5	unemployment	unemployment	NOUN
faba-114	61	6	rate	rate	NOUN
faba-114	61	7	as	as	ADP
faba-114	61	8	the	the	DET
faba-114	61	9	ratio	ratio	NOUN
faba-114	61	10	between	between	ADP
faba-114	61	11	the	the	DET
faba-114	61	12	number	number	NOUN
faba-114	61	13	of	of	ADP
faba-114	61	14	unemployed	unemployed	ADJ
faba-114	61	15	individuals	individual	NOUN
faba-114	61	16	and	and	CCONJ
faba-114	61	17	the	the	DET
faba-114	61	18	number	number	NOUN
faba-114	61	19	of	of	ADP
faba-114	61	20	economically	economically	ADV
faba-114	61	21	active	active	ADJ
faba-114	61	22	individuals	individual	NOUN
faba-114	61	23	(	(	PUNCT
faba-114	61	24	the	the	DET
faba-114	61	25	labor	labor	NOUN
faba-114	61	26	force	force	NOUN
faba-114	61	27	)	)	PUNCT
faba-114	61	28	as	as	ADP
faba-114	61	29	of	of	ADP
faba-114	61	30	the	the	DET
faba-114	61	31	last	last	ADJ
faba-114	61	32	census	census	NOUN
faba-114	61	33	of	of	ADP
faba-114	61	34	the	the	DET
faba-114	61	35	country	country	NOUN
faba-114	61	36	,	,	PUNCT
faba-114	61	37	i.e.	i.e.	X
faba-114	61	38	,	,	PUNCT
faba-114	61	39	it	it	PRON
faba-114	61	40	uses	use	VERB
faba-114	61	41	the	the	DET
faba-114	61	42	same	same	ADJ
faba-114	61	43	basis	basis	NOUN
faba-114	61	44	for	for	ADP
faba-114	61	45	one	one	NUM
faba-114	61	46	period	period	NOUN
faba-114	61	47	.	.	PUNCT
faba-114	62	1	on	on	ADP
faba-114	62	2	the	the	DET
faba-114	62	3	other	other	ADJ
faba-114	62	4	hand	hand	NOUN
faba-114	62	5	,	,	PUNCT
faba-114	62	6	the	the	DET
faba-114	62	7	nsi	nsi	NOUN
faba-114	62	8	does	do	AUX
faba-114	62	9	not	not	PART
faba-114	62	10	use	use	VERB
faba-114	62	11	the	the	DET
faba-114	62	12	numbers	number	NOUN
faba-114	62	13	from	from	ADP
faba-114	62	14	the	the	DET
faba-114	62	15	previous	previous	ADJ
faba-114	62	16	census	census	NOUN
faba-114	62	17	,	,	PUNCT
faba-114	62	18	rather	rather	ADV
faba-114	62	19	a	a	DET
faba-114	62	20	dynamically	dynamically	ADV
faba-114	62	21	changing	change	VERB
faba-114	62	22	basis	basis	NOUN
faba-114	62	23	,	,	PUNCT
faba-114	62	24	obtained	obtain	VERB
faba-114	62	25	as	as	ADP
faba-114	62	26	a	a	DET
faba-114	62	27	result	result	NOUN
faba-114	62	28	of	of	ADP
faba-114	62	29	quarterly	quarterly	ADJ
faba-114	62	30	surveys	survey	NOUN
faba-114	62	31	on	on	ADP
faba-114	62	32	a	a	DET
faba-114	62	33	representative	representative	ADJ
faba-114	62	34	sample	sample	NOUN
faba-114	62	35	of	of	ADP
faba-114	62	36	the	the	DET
faba-114	62	37	population	population	NOUN
faba-114	62	38	.	.	PUNCT
faba-114	63	1	therefore	therefore	ADV
faba-114	63	2	,	,	PUNCT
faba-114	63	3	the	the	DET
faba-114	63	4	unchanging	unchanging	ADJ
faba-114	63	5	basis	basis	NOUN
faba-114	63	6	for	for	ADP
faba-114	63	7	calculating	calculate	VERB
faba-114	63	8	the	the	DET
faba-114	63	9	unemployment	unemployment	NOUN
faba-114	63	10	rate	rate	NOUN
faba-114	63	11	used	use	VERB
faba-114	63	12	by	by	ADP
faba-114	63	13	the	the	DET
faba-114	63	14	ea	ea	PROPN
faba-114	63	15	and	and	CCONJ
faba-114	63	16	the	the	DET
faba-114	63	17	above	above	ADJ
faba-114	63	18	remarks	remark	NOUN
faba-114	63	19	on	on	ADP
faba-114	63	20	the	the	DET
faba-114	63	21	approach	approach	NOUN
faba-114	63	22	to	to	ADP
faba-114	63	23	data	data	NOUN
faba-114	63	24	collection	collection	NOUN
faba-114	63	25	in	in	ADP
faba-114	63	26	practice	practice	NOUN
faba-114	63	27	make	make	VERB
faba-114	63	28	the	the	DET
faba-114	63	29	nsi	nsi	NOUN
faba-114	63	30	’s	’s	PART
faba-114	63	31	methodology	methodology	NOUN
faba-114	63	32	more	more	ADV
faba-114	63	33	preferred	preferred	ADJ
faba-114	63	34	and	and	CCONJ
faba-114	63	35	realistic	realistic	ADJ
faba-114	63	36	.	.	PUNCT
faba-114	64	1	aside	aside	ADV
faba-114	64	2	from	from	ADP
faba-114	64	3	the	the	DET
faba-114	64	4	general	general	ADJ
faba-114	64	5	unemployment	unemployment	NOUN
faba-114	64	6	rate	rate	NOUN
faba-114	64	7	of	of	ADP
faba-114	64	8	the	the	DET
faba-114	64	9	working	work	VERB
faba-114	64	10	age	age	NOUN
faba-114	64	11	population	population	NOUN
faba-114	64	12	in	in	ADP
faba-114	64	13	a	a	DET
faba-114	64	14	given	give	VERB
faba-114	64	15	country	country	NOUN
faba-114	64	16	,	,	PUNCT
faba-114	64	17	the	the	DET
faba-114	64	18	unemployment	unemployment	NOUN
faba-114	64	19	rate	rate	NOUN
faba-114	64	20	is	be	AUX
faba-114	64	21	also	also	ADV
faba-114	64	22	calculated	calculate	VERB
faba-114	64	23	by	by	ADP
faba-114	64	24	age	age	NOUN
faba-114	64	25	groups	group	NOUN
faba-114	64	26	(	(	PUNCT
faba-114	64	27	aged	aged	ADJ
faba-114	64	28	18	18	NUM
faba-114	64	29	-	-	SYM
faba-114	64	30	24	24	NUM
faba-114	64	31	;	;	PUNCT
faba-114	64	32	aged	aged	ADJ
faba-114	64	33	25	25	NUM
faba-114	64	34	-	-	SYM
faba-114	64	35	34	34	NUM
faba-114	64	36	;	;	PUNCT
faba-114	64	37	aged	aged	ADJ
faba-114	64	38	35	35	NUM
faba-114	64	39	-	-	SYM
faba-114	64	40	44	44	NUM
faba-114	64	41	;	;	PUNCT
faba-114	64	42	aged	age	VERB
faba-114	64	43	45	45	NUM
faba-114	64	44	-	-	SYM
faba-114	64	45	54	54	NUM
faba-114	64	46	;	;	PUNCT
faba-114	64	47	55	55	NUM
faba-114	64	48	and	and	CCONJ
faba-114	64	49	over	over	ADV
faba-114	64	50	,	,	PUNCT
faba-114	64	51	etc	etc	X
faba-114	64	52	.	.	X
faba-114	64	53	)	)	PUNCT
faba-114	64	54	,	,	PUNCT
faba-114	64	55	as	as	ADV
faba-114	64	56	well	well	ADV
faba-114	64	57	as	as	ADP
faba-114	64	58	by	by	ADP
faba-114	64	59	sex	sex	NOUN
faba-114	64	60	,	,	PUNCT
faba-114	64	61	place	place	NOUN
faba-114	64	62	of	of	ADP
faba-114	64	63	residence	residence	NOUN
faba-114	64	64	and	and	CCONJ
faba-114	64	65	level	level	NOUN
faba-114	64	66	of	of	ADP
faba-114	64	67	education	education	NOUN
faba-114	64	68	.	.	PUNCT
faba-114	65	1	since	since	SCONJ
faba-114	65	2	the	the	DET
faba-114	65	3	first	first	ADJ
faba-114	65	4	quarter	quarter	NOUN
faba-114	65	5	of	of	ADP
faba-114	65	6	2012	2012	NUM
faba-114	65	7	,	,	PUNCT
faba-114	65	8	a	a	DET
faba-114	65	9	new	new	ADJ
faba-114	65	10	approach	approach	NOUN
faba-114	65	11	has	have	AUX
faba-114	65	12	been	be	AUX
faba-114	65	13	introduced	introduce	VERB
faba-114	65	14	in	in	ADP
faba-114	65	15	the	the	DET
faba-114	65	16	weighing	weighing	NOUN
faba-114	65	17	of	of	ADP
faba-114	65	18	the	the	DET
faba-114	65	19	units	unit	NOUN
faba-114	65	20	from	from	ADP
faba-114	65	21	the	the	DET
faba-114	65	22	labor	labor	NOUN
faba-114	65	23	force	force	PROPN
faba-114	65	24	survey	survey	NOUN
faba-114	65	25	sample	sample	NOUN
faba-114	65	26	(	(	PUNCT
faba-114	65	27	“	"	PUNCT
faba-114	65	28	labor	labor	NOUN
faba-114	65	29	force	force	NOUN
faba-114	65	30	observation	observation	NOUN
faba-114	65	31	”	"	PUNCT
faba-114	65	32	sample	sample	NOUN
faba-114	65	33	,	,	PUNCT
faba-114	65	34	nsi	nsi	PROPN
faba-114	65	35	)	)	PUNCT
faba-114	65	36	,	,	PUNCT
faba-114	65	37	the	the	DET
faba-114	65	38	influence	influence	NOUN
faba-114	65	39	of	of	ADP
faba-114	65	40	which	which	PRON
faba-114	65	41	needs	need	VERB
faba-114	65	42	to	to	PART
faba-114	65	43	be	be	AUX
faba-114	65	44	taken	take	VERB
faba-114	65	45	into	into	ADP
faba-114	65	46	consideration	consideration	NOUN
faba-114	65	47	when	when	SCONJ
faba-114	65	48	utilizing	utilize	VERB
faba-114	65	49	data	datum	NOUN
faba-114	65	50	from	from	ADP
faba-114	65	51	the	the	DET
faba-114	65	52	labor	labor	NOUN
faba-114	65	53	force	force	NOUN
faba-114	65	54	survey	survey	NOUN
faba-114	65	55	.	.	PUNCT
faba-114	66	1	this	this	PRON
faba-114	66	2	is	be	AUX
faba-114	66	3	why	why	SCONJ
faba-114	66	4	the	the	DET
faba-114	66	5	scope	scope	NOUN
faba-114	66	6	of	of	ADP
faba-114	66	7	the	the	DET
faba-114	66	8	survey	survey	NOUN
faba-114	66	9	begins	begin	VERB
faba-114	66	10	from	from	ADP
faba-114	66	11	the	the	DET
faba-114	66	12	following	following	ADJ
faba-114	66	13	year	year	NOUN
faba-114	66	14	–	–	PUNCT
faba-114	66	15	2013	2013	NUM
faba-114	66	16	,	,	PUNCT
faba-114	66	17	and	and	CCONJ
faba-114	66	18	continues	continue	VERB
faba-114	66	19	until	until	ADP
faba-114	66	20	the	the	DET
faba-114	66	21	latest	late	ADJ
faba-114	66	22	available	available	ADJ
faba-114	66	23	data	datum	NOUN
faba-114	66	24	(	(	PUNCT
faba-114	66	25	2021	2021	NUM
faba-114	66	26	)	)	PUNCT
faba-114	66	27	.	.	PUNCT
faba-114	67	1	since	since	SCONJ
faba-114	67	2	the	the	DET
faba-114	67	3	first	first	ADJ
faba-114	67	4	quarter	quarter	NOUN
faba-114	67	5	of	of	ADP
faba-114	67	6	2021	2021	NUM
faba-114	67	7	some	some	DET
faba-114	67	8	changes	change	NOUN
faba-114	67	9	has	have	AUX
faba-114	67	10	been	be	AUX
faba-114	67	11	implemented	implement	VERB
faba-114	67	12	in	in	ADP
faba-114	67	13	compliance	compliance	NOUN
faba-114	67	14	with	with	ADP
faba-114	67	15	the	the	DET
faba-114	67	16	regulation	regulation	NOUN
faba-114	67	17	(	(	PUNCT
faba-114	67	18	eu	eu	PROPN
faba-114	67	19	)	)	PUNCT
faba-114	67	20	2019/1700	2019/1700	NUM
faba-114	67	21	of	of	ADP
faba-114	67	22	european	european	ADJ
faba-114	67	23	parliament	parliament	NOUN
faba-114	67	24	and	and	CCONJ
faba-114	67	25	of	of	ADP
faba-114	67	26	the	the	DET
faba-114	67	27	council	council	NOUN
faba-114	67	28	establishing	establish	VERB
faba-114	67	29	a	a	DET
faba-114	67	30	common	common	ADJ
faba-114	67	31	framework	framework	NOUN
faba-114	67	32	for	for	ADP
faba-114	67	33	european	european	ADJ
faba-114	67	34	statistics	statistic	NOUN
faba-114	67	35	relating	relate	VERB
faba-114	67	36	to	to	ADP
faba-114	67	37	persons	person	NOUN
faba-114	67	38	and	and	CCONJ
faba-114	67	39	households	household	NOUN
faba-114	67	40	,	,	PUNCT
faba-114	67	41	based	base	VERB
faba-114	67	42	on	on	ADP
faba-114	67	43	data	datum	NOUN
faba-114	67	44	at	at	ADP
faba-114	67	45	individual	individual	ADJ
faba-114	67	46	level	level	NOUN
faba-114	67	47	collected	collect	VERB
faba-114	67	48	from	from	ADP
faba-114	67	49	samples	sample	NOUN
faba-114	67	50	,	,	PUNCT
faba-114	67	51	and	and	CCONJ
faba-114	67	52	consequent	consequent	ADJ
faba-114	67	53	implementing	implement	VERB
faba-114	67	54	acts	act	NOUN
faba-114	67	55	in	in	ADP
faba-114	67	56	the	the	DET
faba-114	67	57	field	field	NOUN
faba-114	67	58	of	of	ADP
faba-114	67	59	labour	labour	ADJ
faba-114	67	60	force	force	NOUN
faba-114	67	61	statistics	statistic	NOUN
faba-114	67	62	.	.	PUNCT
faba-114	68	1	these	these	DET
faba-114	68	2	changes	change	NOUN
faba-114	68	3	concern	concern	NOUN
faba-114	68	4	mainly	mainly	ADV
faba-114	68	5	employment	employment	NOUN
faba-114	68	6	and	and	CCONJ
faba-114	68	7	unemployment	unemployment	NOUN
faba-114	68	8	definitions	definition	NOUN
faba-114	68	9	,	,	PUNCT
faba-114	68	10	in	in	ADP
faba-114	68	11	particular	particular	ADJ
faba-114	68	12	:	:	PUNCT
faba-114	68	13	−	−	PROPN
faba-114	68	14	persons	person	NOUN
faba-114	68	15	on	on	ADP
faba-114	68	16	leave	leave	NOUN
faba-114	68	17	for	for	ADP
faba-114	68	18	looking	look	VERB
faba-114	68	19	after	after	ADP
faba-114	68	20	a	a	DET
faba-114	68	21	child	child	NOUN
faba-114	68	22	between	between	ADP
faba-114	68	23	1	1	NUM
faba-114	68	24	and	and	CCONJ
faba-114	68	25	2	2	NUM
faba-114	68	26	years	year	NOUN
faba-114	68	27	of	of	ADP
faba-114	68	28	age	age	NOUN
faba-114	68	29	who	who	PRON
faba-114	68	30	are	be	AUX
faba-114	68	31	receiving	receive	VERB
faba-114	68	32	fixed	fix	VERB
faba-114	68	33	compensation	compensation	NOUN
faba-114	68	34	for	for	ADP
faba-114	68	35	the	the	DET
faba-114	68	36	duration	duration	NOUN
faba-114	68	37	of	of	ADP
faba-114	68	38	the	the	DET
faba-114	68	39	leave	leave	NOUN
faba-114	68	40	,	,	PUNCT
faba-114	68	41	are	be	AUX
faba-114	68	42	considered	consider	VERB
faba-114	68	43	employed	employ	VERB
faba-114	68	44	(	(	PUNCT
faba-114	68	45	they	they	PRON
faba-114	68	46	used	use	VERB
faba-114	68	47	to	to	PART
faba-114	68	48	be	be	AUX
faba-114	68	49	considered	consider	VERB
faba-114	68	50	economically	economically	ADV
faba-114	68	51	inactive	inactive	ADJ
faba-114	68	52	up	up	ADP
faba-114	68	53	to	to	ADP
faba-114	68	54	the	the	DET
faba-114	68	55	end	end	NOUN
faba-114	68	56	of	of	ADP
faba-114	68	57	2020	2020	NUM
faba-114	68	58	)	)	PUNCT
faba-114	68	59	;	;	PUNCT
faba-114	68	60	−	−	PROPN
faba-114	68	61	persons	person	NOUN
faba-114	68	62	on	on	ADP
faba-114	68	63	unpaid	unpaid	ADJ
faba-114	68	64	parental	parental	ADJ
faba-114	68	65	leave	leave	NOUN
faba-114	68	66	for	for	ADP
faba-114	68	67	looking	look	VERB
faba-114	68	68	after	after	ADP
faba-114	68	69	a	a	DET
faba-114	68	70	child	child	NOUN
faba-114	68	71	between	between	ADP
faba-114	68	72	2	2	NUM
faba-114	68	73	and	and	CCONJ
faba-114	68	74	8	8	NUM
faba-114	68	75	years	year	NOUN
faba-114	68	76	of	of	ADP
faba-114	68	77	age	age	NOUN
faba-114	68	78	are	be	AUX
faba-114	68	79	considered	consider	VERB
faba-114	68	80	employed	employ	VERB
faba-114	68	81	only	only	ADV
faba-114	68	82	if	if	SCONJ
faba-114	68	83	the	the	DET
faba-114	68	84	expected	expect	VERB
faba-114	68	85	one	one	NUM
faba-114	68	86	-	-	PUNCT
faba-114	68	87	time	time	NOUN
faba-114	68	88	duration	duration	NOUN
faba-114	68	89	of	of	ADP
faba-114	68	90	using	use	VERB
faba-114	68	91	that	that	DET
faba-114	68	92	leave	leave	NOUN
faba-114	68	93	is	be	AUX
faba-114	68	94	at	at	ADP
faba-114	68	95	most	most	ADV
faba-114	68	96	three	three	NUM
faba-114	68	97	months	month	NOUN
faba-114	68	98	.	.	PUNCT
faba-114	69	1	all	all	DET
faba-114	69	2	persons	person	NOUN
faba-114	69	3	on	on	ADP
faba-114	69	4	this	this	DET
faba-114	69	5	kind	kind	NOUN
faba-114	69	6	of	of	ADP
faba-114	69	7	leave	leave	NOUN
faba-114	69	8	used	use	VERB
faba-114	69	9	to	to	PART
faba-114	69	10	be	be	AUX
faba-114	69	11	considered	consider	VERB
faba-114	69	12	employed	employ	VERB
faba-114	69	13	up	up	ADP
faba-114	69	14	to	to	ADP
faba-114	69	15	2020	2020	NUM
faba-114	69	16	;	;	PUNCT
faba-114	69	17	−	−	PROPN
faba-114	69	18	persons	person	NOUN
faba-114	69	19	who	who	PRON
faba-114	69	20	are	be	AUX
faba-114	69	21	absent	absent	ADJ
faba-114	69	22	from	from	ADP
faba-114	69	23	work	work	NOUN
faba-114	69	24	due	due	ADP
faba-114	69	25	to	to	ADP
faba-114	69	26	reasons	reason	NOUN
faba-114	69	27	other	other	ADJ
faba-114	69	28	than	than	ADP
faba-114	69	29	holidays	holiday	NOUN
faba-114	69	30	,	,	PUNCT
faba-114	69	31	illness	illness	NOUN
faba-114	69	32	,	,	PUNCT
faba-114	69	33	accident	accident	NOUN
faba-114	69	34	or	or	CCONJ
faba-114	69	35	maternity	maternity	NOUN
faba-114	69	36	and	and	CCONJ
faba-114	69	37	parental	parental	ADJ
faba-114	69	38	leave	leave	NOUN
faba-114	69	39	are	be	AUX
faba-114	69	40	considered	consider	VERB
faba-114	69	41	employed	employ	VERB
faba-114	69	42	only	only	ADV
faba-114	69	43	if	if	SCONJ
faba-114	69	44	the	the	DET
faba-114	69	45	duration	duration	NOUN
faba-114	69	46	of	of	ADP
faba-114	69	47	this	this	DET
faba-114	69	48	absence	absence	NOUN
faba-114	69	49	is	be	AUX
faba-114	69	50	3	3	NUM
faba-114	69	51	months	month	NOUN
faba-114	69	52	or	or	CCONJ
faba-114	69	53	less	less	ADJ
faba-114	69	54	(	(	PUNCT
faba-114	69	55	even	even	ADV
faba-114	69	56	they	they	PRON
faba-114	69	57	are	be	AUX
faba-114	69	58	being	be	AUX
faba-114	69	59	partially	partially	ADV
faba-114	69	60	compensated	compensate	VERB
faba-114	69	61	)	)	PUNCT
faba-114	69	62	;	;	PUNCT
faba-114	69	63	finance	finance	NOUN
faba-114	69	64	,	,	PUNCT
faba-114	69	65	accounting	accounting	NOUN
faba-114	69	66	and	and	CCONJ
faba-114	69	67	business	business	NOUN
faba-114	69	68	analysis	analysis	NOUN
faba-114	69	69	4	4	NUM
faba-114	69	70	(	(	PUNCT
faba-114	69	71	1	1	NUM
faba-114	69	72	)	)	PUNCT
faba-114	69	73	2022	2022	NUM
faba-114	69	74	29	29	NUM
faba-114	69	75	−	−	NOUN
faba-114	69	76	persons	person	NOUN
faba-114	69	77	who	who	PRON
faba-114	69	78	produce	produce	VERB
faba-114	69	79	agricultural	agricultural	ADJ
faba-114	69	80	goods	good	NOUN
faba-114	69	81	for	for	ADP
faba-114	69	82	self	self	NOUN
faba-114	69	83	-	-	PUNCT
faba-114	69	84	consumption	consumption	NOUN
faba-114	69	85	are	be	AUX
faba-114	69	86	excluded	exclude	VERB
faba-114	69	87	from	from	ADP
faba-114	69	88	the	the	DET
faba-114	69	89	employed	employ	VERB
faba-114	69	90	person	person	NOUN
faba-114	69	91	’s	’s	PART
faba-114	69	92	category	category	NOUN
faba-114	69	93	even	even	ADV
faba-114	69	94	if	if	SCONJ
faba-114	69	95	they	they	PRON
faba-114	69	96	satisfy	satisfy	VERB
faba-114	69	97	their	their	PRON
faba-114	69	98	household	household	NOUN
faba-114	69	99	’s	’s	PART
faba-114	69	100	main	main	ADJ
faba-114	69	101	consumption	consumption	NOUN
faba-114	69	102	needs	need	NOUN
faba-114	69	103	by	by	ADP
faba-114	69	104	that	that	DET
faba-114	69	105	production	production	NOUN
faba-114	69	106	.	.	PUNCT
faba-114	70	1	employed	employ	VERB
faba-114	70	2	are	be	AUX
faba-114	70	3	considered	consider	VERB
faba-114	70	4	only	only	ADV
faba-114	70	5	persons	person	NOUN
faba-114	70	6	growing	grow	VERB
faba-114	70	7	agricultural	agricultural	ADJ
faba-114	70	8	produce	produce	NOUN
faba-114	70	9	,	,	PUNCT
faba-114	70	10	which	which	DET
faba-114	70	11	main	main	ADJ
faba-114	70	12	part	part	NOUN
faba-114	70	13	is	be	AUX
faba-114	70	14	intended	intend	VERB
faba-114	70	15	for	for	ADP
faba-114	70	16	sale	sale	NOUN
faba-114	70	17	or	or	CCONJ
faba-114	70	18	barter	barter	NOUN
faba-114	70	19	.	.	PUNCT
faba-114	71	1	due	due	ADP
faba-114	71	2	to	to	ADP
faba-114	71	3	changes	change	NOUN
faba-114	71	4	in	in	ADP
faba-114	71	5	the	the	DET
faba-114	71	6	lfs	lfs	PROPN
faba-114	71	7	methodology	methodology	NOUN
faba-114	71	8	data	datum	NOUN
faba-114	71	9	for	for	ADP
faba-114	71	10	the	the	DET
faba-114	71	11	first	first	ADJ
faba-114	71	12	quarter	quarter	NOUN
faba-114	71	13	of	of	ADP
faba-114	71	14	2021	2021	NUM
faba-114	71	15	are	be	AUX
faba-114	71	16	not	not	PART
faba-114	71	17	fully	fully	ADV
faba-114	71	18	comparable	comparable	ADJ
faba-114	71	19	with	with	ADP
faba-114	71	20	those	those	PRON
faba-114	71	21	for	for	ADP
faba-114	71	22	previous	previous	ADJ
faba-114	71	23	periods	period	NOUN
faba-114	71	24	.	.	PUNCT
faba-114	72	1	methodoly	methodoly	ADJ
faba-114	72	2	for	for	ADP
faba-114	72	3	predicting	predict	VERB
faba-114	72	4	the	the	DET
faba-114	72	5	unemployment	unemployment	NOUN
faba-114	72	6	rate	rate	NOUN
faba-114	72	7	a	a	DET
faba-114	72	8	forecast	forecast	NOUN
faba-114	72	9	for	for	ADP
faba-114	72	10	the	the	DET
faba-114	72	11	unemployment	unemployment	NOUN
faba-114	72	12	coefficient	coefficient	NOUN
faba-114	72	13	will	will	AUX
faba-114	72	14	be	be	AUX
faba-114	72	15	made	make	VERB
faba-114	72	16	in	in	ADP
faba-114	72	17	order	order	NOUN
faba-114	72	18	to	to	PART
faba-114	72	19	establish	establish	VERB
faba-114	72	20	how	how	SCONJ
faba-114	72	21	it	it	PRON
faba-114	72	22	will	will	AUX
faba-114	72	23	develop	develop	VERB
faba-114	72	24	over	over	ADP
faba-114	72	25	the	the	DET
faba-114	72	26	following	follow	VERB
faba-114	72	27	two	two	NUM
faba-114	72	28	years	year	NOUN
faba-114	72	29	.	.	PUNCT
faba-114	73	1	to	to	PART
faba-114	73	2	do	do	VERB
faba-114	73	3	so	so	ADV
faba-114	73	4	a	a	DET
faba-114	73	5	trend	trend	NOUN
faba-114	73	6	model	model	NOUN
faba-114	73	7	with	with	ADP
faba-114	73	8	the	the	DET
faba-114	73	9	following	follow	VERB
faba-114	73	10	function	function	NOUN
faba-114	73	11	will	will	AUX
faba-114	73	12	be	be	AUX
faba-114	73	13	used	use	VERB
faba-114	73	14	:	:	PUNCT
faba-114	73	15	y	y	PROPN
faba-114	73	16	=	=	SYM
faba-114	73	17	ƒ(t	ƒ(t	PROPN
faba-114	73	18	)	)	PUNCT
faba-114	74	1	where	where	SCONJ
faba-114	74	2	:	:	PUNCT
faba-114	74	3	y	y	X
faba-114	74	4	–	–	PUNCT
faba-114	74	5	the	the	DET
faba-114	74	6	unemployment	unemployment	NOUN
faba-114	74	7	coefficient	coefficient	NOUN
faba-114	74	8	;	;	PUNCT
faba-114	74	9	t	t	PROPN
faba-114	74	10	–	–	PUNCT
faba-114	74	11	time	time	NOUN
faba-114	74	12	as	as	ADP
faba-114	74	13	an	an	DET
faba-114	74	14	independent	independent	ADJ
faba-114	74	15	variable	variable	NOUN
faba-114	74	16	.	.	PUNCT
faba-114	75	1	trend	trend	NOUN
faba-114	75	2	models	model	NOUN
faba-114	75	3	eliminate	eliminate	VERB
faba-114	75	4	the	the	DET
faba-114	75	5	effect	effect	NOUN
faba-114	75	6	of	of	ADP
faba-114	75	7	random	random	ADJ
faba-114	75	8	and	and	CCONJ
faba-114	75	9	periodic	periodic	ADJ
faba-114	75	10	causes	cause	NOUN
faba-114	75	11	and	and	CCONJ
faba-114	75	12	consider	consider	VERB
faba-114	75	13	only	only	ADV
faba-114	75	14	the	the	DET
faba-114	75	15	development	development	NOUN
faba-114	75	16	trend	trend	NOUN
faba-114	75	17	.	.	PUNCT
faba-114	76	1	the	the	DET
faba-114	76	2	functions	function	NOUN
faba-114	76	3	of	of	ADP
faba-114	76	4	these	these	DET
faba-114	76	5	models	model	NOUN
faba-114	76	6	can	can	AUX
faba-114	76	7	take	take	VERB
faba-114	76	8	many	many	ADJ
faba-114	76	9	forms	form	NOUN
faba-114	76	10	:	:	PUNCT
faba-114	76	11	linear	linear	ADJ
faba-114	76	12	model	model	NOUN
faba-114	76	13	:	:	PUNCT
faba-114	76	14	cubic	cubic	ADJ
faba-114	76	15	model	model	NOUN
faba-114	76	16	:	:	PUNCT
faba-114	76	17	ŷ𝒕	ŷ𝒕	PROPN
faba-114	76	18	=	=	SYM
faba-114	76	19	𝛃𝟎	𝛃𝟎	NOUN
faba-114	76	20	+	+	NOUN
faba-114	76	21	𝛃𝟏𝒕	𝛃𝟏𝒕	ADV
faba-114	76	22	ŷ𝒕	ŷ𝒕	ADP
faba-114	76	23	=	=	SYM
faba-114	76	24	𝛃𝟎	𝛃𝟎	NOUN
faba-114	76	25	+	+	X
faba-114	76	26	𝛃𝟏𝒕	𝛃𝟏𝒕	ADJ
faba-114	76	27	+	+	ADJ
faba-114	76	28	𝛃𝟐𝒕²+𝛃𝟑𝒕³	𝛃𝟐𝒕²+𝛃𝟑𝒕³	ADJ
faba-114	76	29	quadratic	quadratic	ADJ
faba-114	76	30	model	model	NOUN
faba-114	76	31	:	:	PUNCT
faba-114	76	32	exponential	exponential	ADJ
faba-114	76	33	model	model	NOUN
faba-114	76	34	:	:	PUNCT
faba-114	76	35	ŷ𝒕	ŷ𝒕	PROPN
faba-114	76	36	=	=	SYM
faba-114	76	37	𝛃𝟎	𝛃𝟎	NOUN
faba-114	76	38	+	+	X
faba-114	76	39	𝛃𝟏𝒕	𝛃𝟏𝒕	ADJ
faba-114	76	40	+	+	NOUN
faba-114	76	41	𝛃𝟐𝒕²	𝛃𝟐𝒕²	PROPN
faba-114	76	42	y=	y=	NUM
faba-114	76	43	𝛃𝟎+(ɛ𝛃𝟏𝒕	𝛃𝟎+(ɛ𝛃𝟏𝒕	NUM
faba-114	76	44	)	)	PUNCT
faba-114	76	45	logaritmic	logaritmic	PROPN
faba-114	76	46	mocel	mocel	PROPN
faba-114	76	47	:	:	PUNCT
faba-114	76	48	others	other	NOUN
faba-114	76	49	…	…	PUNCT
faba-114	76	50	.	.	PUNCT
faba-114	77	1	y	y	NOUN
faba-114	77	2	=	=	PUNCT
faba-114	77	3	𝛃𝟎	𝛃𝟎	NOUN
faba-114	77	4	+	+	NUM
faba-114	77	5	𝛃𝟏𝑳𝒏	𝛃𝟏𝑳𝒏	PRON
faba-114	77	6	t	t	VERB
faba-114	78	1	where	where	SCONJ
faba-114	78	2	:	:	PUNCT
faba-114	78	3	𝛃𝒊	𝛃𝒊	NOUN
faba-114	78	4	–	–	PUNCT
faba-114	78	5	parameters	parameter	NOUN
faba-114	78	6	in	in	ADP
faba-114	78	7	the	the	DET
faba-114	78	8	equation	equation	NOUN
faba-114	78	9	;	;	PUNCT
faba-114	78	10	ŷ𝒕	ŷ𝒕	ADP
faba-114	78	11	–	–	PUNCT
faba-114	78	12	adjusted	adjust	VERB
faba-114	78	13	values	value	NOUN
faba-114	78	14	of	of	ADP
faba-114	78	15	the	the	DET
faba-114	78	16	unemployment	unemployment	NOUN
faba-114	78	17	coefficient	coefficient	NOUN
faba-114	78	18	.	.	PUNCT
faba-114	79	1	the	the	DET
faba-114	79	2	model	model	NOUN
faba-114	79	3	’s	’s	PART
faba-114	79	4	parameters	parameter	NOUN
faba-114	79	5	can	can	AUX
faba-114	79	6	be	be	AUX
faba-114	79	7	found	find	VERB
faba-114	79	8	via	via	ADP
faba-114	79	9	the	the	DET
faba-114	79	10	ordinadry	ordinadry	ADJ
faba-114	79	11	method	method	NOUN
faba-114	79	12	of	of	ADP
faba-114	79	13	least	least	ADJ
faba-114	79	14	squares	square	NOUN
faba-114	79	15	.	.	PUNCT
faba-114	80	1	this	this	PRON
faba-114	80	2	means	mean	VERB
faba-114	80	3	that	that	SCONJ
faba-114	80	4	the	the	DET
faba-114	80	5	sum	sum	NOUN
faba-114	80	6	of	of	ADP
faba-114	80	7	the	the	DET
faba-114	80	8	squares	square	NOUN
faba-114	80	9	of	of	ADP
faba-114	80	10	the	the	DET
faba-114	80	11	residuals	residual	NOUN
faba-114	80	12	„	„	PUNCT
faba-114	80	13	ɛk	ɛk	NOUN
faba-114	80	14	“	"	PUNCT
faba-114	80	15	will	will	AUX
faba-114	80	16	be	be	AUX
faba-114	80	17	minimized	minimize	VERB
faba-114	80	18	.	.	PUNCT
faba-114	81	1	1	1	NUM
faba-114	81	2	2	2	NUM
faba-114	81	3	1	1	NUM
faba-114	81	4	n	n	NUM
faba-114	81	5	k	k	PROPN
faba-114	81	6	t	t	PROPN
faba-114	81	7			PROPN
faba-114	81	8	−	−	PROPN
faba-114	81	9	=	=	SYM
faba-114	81	10			X
faba-114	81	11	=	=	SYM
faba-114	81	12	1	1	NUM
faba-114	81	13	n	n	NOUN
faba-114	81	14	t=	t=	NOUN
faba-114	81	15			X
faba-114	81	16	(	(	PUNCT
faba-114	81	17	yk	yk	PROPN
faba-114	81	18	ŷ𝑘	ŷ𝑘	NOUN
faba-114	81	19	)	)	PUNCT
faba-114	81	20	²	²	PROPN
faba-114	81	21	=	=	SYM
faba-114	81	22	min	min	NOUN
faba-114	81	23	in	in	ADP
faba-114	81	24	order	order	NOUN
faba-114	81	25	for	for	SCONJ
faba-114	81	26	this	this	DET
faba-114	81	27	condition	condition	NOUN
faba-114	81	28	to	to	PART
faba-114	81	29	be	be	AUX
faba-114	81	30	met	meet	VERB
faba-114	81	31	,	,	PUNCT
faba-114	81	32	a	a	DET
faba-114	81	33	system	system	NOUN
faba-114	81	34	of	of	ADP
faba-114	81	35	equations	equation	NOUN
faba-114	81	36	needs	need	VERB
faba-114	81	37	to	to	PART
faba-114	81	38	be	be	AUX
faba-114	81	39	solved	solve	VERB
faba-114	81	40	.	.	PUNCT
faba-114	82	1	the	the	DET
faba-114	82	2	forecasted	forecast	VERB
faba-114	82	3	value	value	NOUN
faba-114	82	4	is	be	AUX
faba-114	82	5	reached	reach	VERB
faba-114	82	6	by	by	ADP
faba-114	82	7	following	follow	VERB
faba-114	82	8	these	these	DET
faba-114	82	9	steps	step	NOUN
faba-114	82	10	(	(	PUNCT
faba-114	82	11	mishev	mishev	NOUN
faba-114	82	12	and	and	CCONJ
faba-114	82	13	goev	goev	ADJ
faba-114	82	14	,	,	PUNCT
faba-114	82	15	2010	2010	NUM
faba-114	82	16	):	):	PUNCT
faba-114	83	1	1	1	X
faba-114	83	2	.	.	X
faba-114	83	3	performing	perform	VERB
faba-114	83	4	an	an	DET
faba-114	83	5	adequacy	adequacy	NOUN
faba-114	83	6	check	check	NOUN
faba-114	83	7	on	on	ADP
faba-114	83	8	10	10	NUM
faba-114	83	9	trend	trend	NOUN
faba-114	83	10	models	model	NOUN
faba-114	83	11	using	use	VERB
faba-114	83	12	an	an	DET
faba-114	83	13	f	f	NOUN
faba-114	83	14	-	-	PUNCT
faba-114	83	15	test	test	NOUN
faba-114	83	16	and	and	CCONJ
faba-114	83	17	leaving	leave	VERB
faba-114	83	18	only	only	ADV
faba-114	83	19	the	the	DET
faba-114	83	20	adequate	adequate	ADJ
faba-114	83	21	ones	one	NOUN
faba-114	83	22	;	;	PUNCT
faba-114	83	23	2	2	X
faba-114	83	24	.	.	X
faba-114	83	25	choosing	choose	VERB
faba-114	83	26	the	the	DET
faba-114	83	27	most	most	ADV
faba-114	83	28	adequate	adequate	ADJ
faba-114	83	29	model	model	NOUN
faba-114	83	30	for	for	ADP
faba-114	83	31	the	the	DET
faba-114	83	32	trend	trend	NOUN
faba-114	83	33	–	–	PUNCT
faba-114	83	34	the	the	DET
faba-114	83	35	one	one	NOUN
faba-114	83	36	with	with	ADP
faba-114	83	37	the	the	DET
faba-114	83	38	highest	high	ADJ
faba-114	83	39	coefficient	coefficient	NOUN
faba-114	83	40	of	of	ADP
faba-114	83	41	determination	determination	NOUN
faba-114	83	42	(	(	PUNCT
faba-114	83	43	r²	r²	PROPN
faba-114	83	44	)	)	PUNCT
faba-114	83	45	;	;	PUNCT
faba-114	83	46	3	3	X
faba-114	83	47	.	.	X
faba-114	83	48	constructing	construct	VERB
faba-114	83	49	the	the	DET
faba-114	83	50	point	point	NOUN
faba-114	83	51	estimate	estimate	NOUN
faba-114	83	52	of	of	ADP
faba-114	83	53	the	the	DET
faba-114	83	54	forecast	forecast	NOUN
faba-114	83	55	,	,	PUNCT
faba-114	83	56	which	which	PRON
faba-114	83	57	represents	represent	VERB
faba-114	83	58	the	the	DET
faba-114	83	59	value	value	NOUN
faba-114	83	60	of	of	ADP
faba-114	83	61	the	the	DET
faba-114	83	62	dynamic	dynamic	ADJ
faba-114	83	63	array	array	NOUN
faba-114	83	64	.	.	PUNCT
faba-114	84	1	the	the	DET
faba-114	84	2	point	point	NOUN
faba-114	84	3	forecast	forecast	NOUN
faba-114	84	4	is	be	AUX
faba-114	84	5	obtained	obtain	VERB
faba-114	84	6	with	with	ADP
faba-114	84	7	a	a	DET
faba-114	84	8	longer	long	ADJ
faba-114	84	9	trend	trend	NOUN
faba-114	84	10	line	line	NOUN
faba-114	84	11	in	in	ADP
faba-114	84	12	the	the	DET
faba-114	84	13	future	future	NOUN
faba-114	84	14	.	.	PUNCT
faba-114	85	1	the	the	DET
faba-114	85	2	forecast	forecast	NOUN
faba-114	85	3	is	be	AUX
faba-114	85	4	marked	mark	VERB
faba-114	85	5	with	with	ADP
faba-114	85	6	с	с	PROPN
faba-114	85	7	ŷ𝑁+𝐿	ŷ𝑁+𝐿	PROPN
faba-114	85	8	,	,	PUNCT
faba-114	85	9	where	where	SCONJ
faba-114	85	10	n	n	PRON
faba-114	85	11	is	be	AUX
faba-114	85	12	the	the	DET
faba-114	85	13	final	final	ADJ
faba-114	85	14	period	period	NOUN
faba-114	85	15	and	and	CCONJ
faba-114	85	16	l	l	NOUN
faba-114	85	17	is	be	AUX
faba-114	85	18	the	the	DET
faba-114	85	19	forecast	forecast	NOUN
faba-114	85	20	horizon	horizon	NOUN
faba-114	85	21	.	.	PUNCT
faba-114	86	1	the	the	DET
faba-114	86	2	forecast	forecast	NOUN
faba-114	86	3	will	will	AUX
faba-114	86	4	be	be	AUX
faba-114	86	5	realized	realize	VERB
faba-114	86	6	using	use	VERB
faba-114	86	7	the	the	DET
faba-114	86	8	program	program	NOUN
faba-114	86	9	ibm	ibm	PROPN
faba-114	86	10	spss	spss	PROPN
faba-114	86	11	.	.	PUNCT
faba-114	87	1	findings	finding	VERB
faba-114	87	2	analysis	analysis	NOUN
faba-114	87	3	of	of	ADP
faba-114	87	4	unemployment	unemployment	NOUN
faba-114	87	5	rates	rate	NOUN
faba-114	87	6	among	among	ADP
faba-114	87	7	young	young	ADJ
faba-114	87	8	people	people	NOUN
faba-114	87	9	there	there	PRON
faba-114	87	10	are	be	VERB
faba-114	87	11	different	different	ADJ
faba-114	87	12	tendencies	tendency	NOUN
faba-114	87	13	in	in	ADP
faba-114	87	14	the	the	DET
faba-114	87	15	levels	level	NOUN
faba-114	87	16	of	of	ADP
faba-114	87	17	youth	youth	NOUN
faba-114	87	18	unemployment	unemployment	NOUN
faba-114	87	19	for	for	ADP
faba-114	87	20	the	the	DET
faba-114	87	21	period	period	NOUN
faba-114	87	22	2013	2013	NUM
faba-114	87	23	-	-	SYM
faba-114	87	24	2021	2021	NUM
faba-114	87	25	(	(	PUNCT
faba-114	87	26	figure	figure	NOUN
faba-114	87	27	1	1	NUM
faba-114	87	28	):	):	PUNCT
faba-114	87	29	finance	finance	NOUN
faba-114	87	30	,	,	PUNCT
faba-114	87	31	accounting	accounting	NOUN
faba-114	87	32	and	and	CCONJ
faba-114	87	33	business	business	NOUN
faba-114	87	34	analysis	analysis	NOUN
faba-114	87	35	4	4	NUM
faba-114	87	36	(	(	PUNCT
faba-114	87	37	1	1	NUM
faba-114	87	38	)	)	PUNCT
faba-114	87	39	2022	2022	NUM
faba-114	87	40	30	30	NUM
faba-114	87	41	source	source	NOUN
faba-114	87	42	:	:	PUNCT
faba-114	87	43	nsi	nsi	NOUN
faba-114	87	44	figure	figure	NOUN
faba-114	87	45	1	1	NUM
faba-114	87	46	.	.	PUNCT
faba-114	88	1	unemployment	unemployment	NOUN
faba-114	88	2	rate	rate	NOUN
faba-114	88	3	among	among	ADP
faba-114	88	4	young	young	ADJ
faba-114	88	5	people	people	NOUN
faba-114	88	6	aged	age	VERB
faba-114	88	7	15	15	NUM
faba-114	88	8	-	-	SYM
faba-114	88	9	29	29	NUM
faba-114	88	10	due	due	ADP
faba-114	88	11	to	to	ADP
faba-114	88	12	the	the	DET
faba-114	88	13	economic	economic	ADJ
faba-114	88	14	crises	crisis	NOUN
faba-114	88	15	from	from	ADP
faba-114	88	16	2008	2008	NUM
faba-114	88	17	,	,	PUNCT
faba-114	88	18	unemployment	unemployment	NOUN
faba-114	88	19	rates	rate	NOUN
faba-114	88	20	from	from	ADP
faba-114	88	21	the	the	DET
faba-114	88	22	discussed	discuss	VERB
faba-114	88	23	period	period	NOUN
faba-114	88	24	amounted	amount	VERB
faba-114	88	25	to	to	ADP
faba-114	88	26	21.8	21.8	NUM
faba-114	88	27	.	.	PUNCT
faba-114	89	1	in	in	ADP
faba-114	89	2	2014	2014	NUM
faba-114	89	3	,	,	PUNCT
faba-114	89	4	the	the	DET
faba-114	89	5	labor	labor	NOUN
faba-114	89	6	market	market	NOUN
faba-114	89	7	in	in	ADP
faba-114	89	8	the	the	DET
faba-114	89	9	country	country	NOUN
faba-114	89	10	showcased	showcase	VERB
faba-114	89	11	signs	sign	NOUN
faba-114	89	12	of	of	ADP
faba-114	89	13	stabilization	stabilization	NOUN
faba-114	89	14	and	and	CCONJ
faba-114	89	15	youth	youth	NOUN
faba-114	89	16	unemployment	unemployment	NOUN
faba-114	89	17	,	,	PUNCT
faba-114	89	18	up	up	ADP
faba-114	89	19	to	to	ADP
faba-114	89	20	2019	2019	NUM
faba-114	89	21	,	,	PUNCT
faba-114	89	22	was	be	AUX
faba-114	89	23	going	go	VERB
faba-114	89	24	down	down	ADP
faba-114	89	25	with	with	ADP
faba-114	89	26	the	the	DET
faba-114	89	27	lowest	low	ADJ
faba-114	89	28	coefficient	coefficient	NOUN
faba-114	89	29	of	of	ADP
faba-114	89	30	6.9	6.9	NUM
faba-114	89	31	%	%	NOUN
faba-114	89	32	.	.	PUNCT
faba-114	90	1	the	the	DET
faba-114	90	2	covid-19	covid-19	PROPN
faba-114	90	3	pandemic	pandemic	NOUN
faba-114	90	4	has	have	AUX
faba-114	90	5	had	have	VERB
faba-114	90	6	a	a	DET
faba-114	90	7	direct	direct	ADJ
faba-114	90	8	effect	effect	NOUN
faba-114	90	9	in	in	ADP
faba-114	90	10	the	the	DET
faba-114	90	11	increase	increase	NOUN
faba-114	90	12	of	of	ADP
faba-114	90	13	youth	youth	NOUN
faba-114	90	14	unemployment	unemployment	NOUN
faba-114	90	15	.	.	PUNCT
faba-114	91	1	the	the	DET
faba-114	91	2	deteriorating	deteriorate	VERB
faba-114	91	3	economic	economic	ADJ
faba-114	91	4	situation	situation	NOUN
faba-114	91	5	in	in	ADP
faba-114	91	6	the	the	DET
faba-114	91	7	nation	nation	NOUN
faba-114	91	8	increases	increase	VERB
faba-114	91	9	the	the	DET
faba-114	91	10	indicator	indicator	NOUN
faba-114	91	11	by	by	ADP
faba-114	91	12	3.5	3.5	NUM
faba-114	91	13	percentage	percentage	NOUN
faba-114	91	14	points	point	NOUN
faba-114	91	15	up	up	ADP
faba-114	91	16	to	to	PART
faba-114	91	17	10.4	10.4	NUM
faba-114	91	18	%	%	NOUN
faba-114	91	19	.	.	PUNCT
faba-114	92	1	young	young	ADJ
faba-114	92	2	people	people	NOUN
faba-114	92	3	are	be	AUX
faba-114	92	4	most	most	ADV
faba-114	92	5	often	often	ADV
faba-114	92	6	the	the	DET
faba-114	92	7	first	first	ADJ
faba-114	92	8	ones	one	NOUN
faba-114	92	9	to	to	PART
faba-114	92	10	be	be	AUX
faba-114	92	11	terminated	terminate	VERB
faba-114	92	12	from	from	ADP
faba-114	92	13	employment	employment	NOUN
faba-114	92	14	in	in	ADP
faba-114	92	15	times	time	NOUN
faba-114	92	16	of	of	ADP
faba-114	92	17	an	an	DET
faba-114	92	18	economic	economic	ADJ
faba-114	92	19	recession	recession	NOUN
faba-114	92	20	.	.	PUNCT
faba-114	93	1	this	this	PRON
faba-114	93	2	can	can	AUX
faba-114	93	3	be	be	AUX
faba-114	93	4	seen	see	VERB
faba-114	93	5	from	from	ADP
faba-114	93	6	the	the	DET
faba-114	93	7	following	follow	VERB
faba-114	93	8	graph	graph	NOUN
faba-114	93	9	which	which	PRON
faba-114	93	10	illustrates	illustrate	VERB
faba-114	93	11	the	the	DET
faba-114	93	12	percentage	percentage	NOUN
faba-114	93	13	change	change	NOUN
faba-114	93	14	in	in	ADP
faba-114	93	15	the	the	DET
faba-114	93	16	number	number	NOUN
faba-114	93	17	of	of	ADP
faba-114	93	18	unemployed	unemployed	ADJ
faba-114	93	19	people	people	NOUN
faba-114	93	20	aged	age	VERB
faba-114	93	21	15	15	NUM
faba-114	93	22	-	-	SYM
faba-114	93	23	29	29	NUM
faba-114	93	24	as	as	ADP
faba-114	93	25	a	a	DET
faba-114	93	26	part	part	NOUN
faba-114	93	27	of	of	ADP
faba-114	93	28	all	all	DET
faba-114	93	29	the	the	DET
faba-114	93	30	unemployed	unemployed	ADJ
faba-114	93	31	people	people	NOUN
faba-114	93	32	in	in	ADP
faba-114	93	33	the	the	DET
faba-114	93	34	country	country	NOUN
faba-114	93	35	.	.	PUNCT
faba-114	94	1	the	the	DET
faba-114	94	2	eurostat	eurostat	PROPN
faba-114	94	3	data	data	PROPN
faba-114	94	4	indicates	indicate	VERB
faba-114	94	5	that	that	SCONJ
faba-114	94	6	in	in	ADP
faba-114	94	7	2013	2013	NUM
faba-114	94	8	,	,	PUNCT
faba-114	94	9	youth	youth	NOUN
faba-114	94	10	unemployment	unemployment	NOUN
faba-114	94	11	had	have	AUX
faba-114	94	12	reached	reach	VERB
faba-114	94	13	close	close	ADV
faba-114	94	14	to	to	PART
faba-114	94	15	30	30	NUM
faba-114	94	16	%	%	NOUN
faba-114	94	17	from	from	ADP
faba-114	94	18	the	the	DET
faba-114	94	19	total	total	ADJ
faba-114	94	20	number	number	NOUN
faba-114	94	21	of	of	ADP
faba-114	94	22	people	people	NOUN
faba-114	94	23	aged	age	VERB
faba-114	94	24	15	15	NUM
faba-114	94	25	-	-	SYM
faba-114	94	26	74	74	NUM
faba-114	94	27	.	.	PUNCT
faba-114	95	1	these	these	DET
faba-114	95	2	high	high	ADJ
faba-114	95	3	numbers	number	NOUN
faba-114	95	4	are	be	AUX
faba-114	95	5	due	due	ADJ
faba-114	95	6	to	to	ADP
faba-114	95	7	the	the	DET
faba-114	95	8	economic	economic	ADJ
faba-114	95	9	crisis	crisis	NOUN
faba-114	95	10	from	from	ADP
faba-114	95	11	2008	2008	NUM
faba-114	95	12	which	which	PRON
faba-114	95	13	has	have	AUX
faba-114	95	14	left	leave	VERB
faba-114	95	15	its	its	PRON
faba-114	95	16	mark	mark	NOUN
faba-114	95	17	.	.	PUNCT
faba-114	96	1	the	the	DET
faba-114	96	2	percentage	percentage	NOUN
faba-114	96	3	gradually	gradually	ADV
faba-114	96	4	decreased	decrease	VERB
faba-114	96	5	to	to	ADP
faba-114	96	6	22	22	NUM
faba-114	96	7	%	%	NOUN
faba-114	96	8	in	in	ADP
faba-114	96	9	2020	2020	NUM
faba-114	96	10	and	and	CCONJ
faba-114	96	11	increased	increase	VERB
faba-114	96	12	to	to	ADP
faba-114	96	13	24	24	NUM
faba-114	96	14	%	%	NOUN
faba-114	96	15	in	in	ADP
faba-114	96	16	2021	2021	NUM
faba-114	96	17	.	.	PUNCT
faba-114	97	1	source	source	NOUN
faba-114	97	2	:	:	PUNCT
faba-114	97	3	nsi	nsi	NOUN
faba-114	97	4	figure	figure	NOUN
faba-114	97	5	2	2	NUM
faba-114	97	6	.	.	PUNCT
faba-114	97	7	percentage	percentage	NOUN
faba-114	97	8	change	change	NOUN
faba-114	97	9	in	in	ADP
faba-114	97	10	the	the	DET
faba-114	97	11	number	number	NOUN
faba-114	97	12	of	of	ADP
faba-114	97	13	unemployed	unemployed	ADJ
faba-114	97	14	people	people	NOUN
faba-114	97	15	aged	age	VERB
faba-114	97	16	15	15	NUM
faba-114	97	17	-	-	SYM
faba-114	97	18	29	29	NUM
faba-114	97	19	as	as	ADP
faba-114	97	20	a	a	DET
faba-114	97	21	part	part	NOUN
faba-114	97	22	of	of	ADP
faba-114	97	23	all	all	DET
faba-114	97	24	the	the	DET
faba-114	97	25	unemployed	unemployed	ADJ
faba-114	97	26	people	people	NOUN
faba-114	97	27	in	in	ADP
faba-114	97	28	the	the	DET
faba-114	97	29	country	country	NOUN
faba-114	98	1	youth	youth	NOUN
faba-114	98	2	unemployment	unemployment	NOUN
faba-114	98	3	began	begin	VERB
faba-114	98	4	to	to	PART
faba-114	98	5	rise	rise	VERB
faba-114	98	6	further	far	ADV
faba-114	98	7	after	after	ADP
faba-114	98	8	2019	2019	NUM
faba-114	98	9	and	and	CCONJ
faba-114	98	10	in	in	ADP
faba-114	98	11	2020	2020	NUM
faba-114	98	12	their	their	PRON
faba-114	98	13	number	number	NOUN
faba-114	98	14	increased	increase	VERB
faba-114	98	15	by	by	ADP
faba-114	98	16	15	15	NUM
faba-114	98	17	%	%	NOUN
faba-114	98	18	compared	compare	VERB
faba-114	98	19	to	to	ADP
faba-114	98	20	2019	2019	NUM
faba-114	98	21	.	.	PUNCT
faba-114	99	1	in	in	ADP
faba-114	99	2	2021	2021	NUM
faba-114	99	3	,	,	PUNCT
faba-114	99	4	compared	compare	VERB
faba-114	99	5	to	to	ADP
faba-114	99	6	2020	2020	NUM
faba-114	99	7	,	,	PUNCT
faba-114	99	8	the	the	DET
faba-114	99	9	percentage	percentage	NOUN
faba-114	99	10	increased	increase	VERB
faba-114	99	11	by	by	ADP
faba-114	99	12	another	another	DET
faba-114	99	13	11	11	NUM
faba-114	99	14	%	%	NOUN
faba-114	99	15	.	.	PUNCT
faba-114	100	1	in	in	ADP
faba-114	100	2	total	total	NOUN
faba-114	100	3	,	,	PUNCT
faba-114	100	4	assuming	assume	VERB
faba-114	100	5	that	that	SCONJ
faba-114	100	6	the	the	DET
faba-114	100	7	rise	rise	NOUN
faba-114	100	8	in	in	ADP
faba-114	100	9	youth	youth	NOUN
faba-114	100	10	unemployment	unemployment	NOUN
faba-114	100	11	is	be	AUX
faba-114	100	12	due	due	ADJ
faba-114	100	13	to	to	ADP
faba-114	100	14	the	the	DET
faba-114	100	15	effect	effect	NOUN
faba-114	100	16	of	of	ADP
faba-114	100	17	covid-19	covid-19	PROPN
faba-114	100	18	,	,	PUNCT
faba-114	100	19	then	then	ADV
faba-114	100	20	we	we	PRON
faba-114	100	21	can	can	AUX
faba-114	100	22	say	say	VERB
faba-114	100	23	that	that	SCONJ
faba-114	100	24	the	the	DET
faba-114	100	25	pandemic	pandemic	NOUN
faba-114	100	26	has	have	AUX
faba-114	100	27	caused	cause	VERB
faba-114	100	28	an	an	DET
faba-114	100	29	increase	increase	NOUN
faba-114	100	30	in	in	ADP
faba-114	100	31	the	the	DET
faba-114	100	32	number	number	NOUN
faba-114	100	33	of	of	ADP
faba-114	100	34	the	the	DET
faba-114	100	35	unemployed	unemployed	ADJ
faba-114	100	36	by	by	ADP
faba-114	100	37	more	more	ADJ
faba-114	100	38	than	than	ADP
faba-114	100	39	¼.	¼.	PROPN
faba-114	100	40	21.800	21.800	NUM
faba-114	100	41	17.700	17.700	NUM
faba-114	100	42	14.400	14.400	NUM
faba-114	100	43	12.200	12.200	NUM
faba-114	100	44	9.900	9.900	NUM
faba-114	100	45	8.300	8.300	NUM
faba-114	100	46	6.900	6.900	NUM
faba-114	100	47	8.800	8.800	NUM
faba-114	100	48	10.400	10.400	NUM
faba-114	100	49	.00	.00	NUM
faba-114	100	50	5.00	5.00	NUM
faba-114	100	51	10.00	10.00	NUM
faba-114	100	52	15.00	15.00	NUM
faba-114	100	53	20.00	20.00	NUM
faba-114	100	54	25.00	25.00	NUM
faba-114	100	55	2013	2013	NUM
faba-114	100	56	2014	2014	NUM
faba-114	100	57	2015	2015	NUM
faba-114	100	58	2016	2016	NUM
faba-114	100	59	2017	2017	NUM
faba-114	100	60	2018	2018	NUM
faba-114	100	61	2019	2019	NUM
faba-114	100	62	2020	2020	NUM
faba-114	100	63	2021	2021	NUM
faba-114	100	64	4	4	NUM
faba-114	100	65	3	3	NUM
faba-114	100	66	6	6	NUM
faba-114	100	67	3	3	NUM
faba-114	100	68	8	8	NUM
faba-114	100	69	5	5	NUM
faba-114	100	70	3	3	NUM
faba-114	100	71	0	0	NUM
faba-114	100	72	5	5	NUM
faba-114	100	73	2	2	NUM
faba-114	100	74	4	4	NUM
faba-114	100	75	7	7	NUM
faba-114	100	76	2	2	NUM
faba-114	100	77	0	0	NUM
faba-114	100	78	7	7	NUM
faba-114	100	79	1	1	NUM
faba-114	100	80	7	7	NUM
faba-114	100	81	3	3	NUM
faba-114	100	82	1	1	NUM
faba-114	100	83	4	4	NUM
faba-114	100	84	3	3	NUM
faba-114	100	85	1	1	NUM
faba-114	100	86	6	6	NUM
faba-114	100	87	9	9	NUM
faba-114	100	88	1	1	NUM
faba-114	100	89	7	7	NUM
faba-114	100	90	1	1	NUM
faba-114	100	91	1	1	NUM
faba-114	100	92	2	2	NUM
faba-114	100	93	9	9	NUM
faba-114	100	94	1	1	NUM
faba-114	100	95	0	0	NUM
faba-114	100	96	0	0	NUM
faba-114	100	97	7	7	NUM
faba-114	100	98	8	8	NUM
faba-114	100	99	6	6	NUM
faba-114	100	100	1	1	NUM
faba-114	100	101	5	5	NUM
faba-114	100	102	1	1	NUM
faba-114	100	103	3	3	NUM
faba-114	100	104	9	9	NUM
faba-114	100	105	3	3	NUM
faba-114	100	106	2	2	NUM
faba-114	100	107	3	3	NUM
faba-114	100	108	7	7	NUM
faba-114	100	109	4	4	NUM
faba-114	100	110	1	1	NUM
faba-114	100	111	2	2	NUM
faba-114	100	112	9	9	NUM
faba-114	100	113	.5	.5	NUM
faba-114	100	114	4	4	NUM
faba-114	100	115	4	4	NUM
faba-114	100	116	%	%	NOUN
faba-114	100	117	2	2	NUM
faba-114	100	118	6	6	NUM
faba-114	100	119	.0	.0	NUM
faba-114	100	120	3	3	NUM
faba-114	100	121	4	4	NUM
faba-114	100	122	%	%	NOUN
faba-114	100	123	2	2	NUM
faba-114	100	124	5	5	NUM
faba-114	100	125	.6	.6	NUM
faba-114	100	126	9	9	NUM
faba-114	100	127	6	6	NUM
faba-114	100	128	%	%	NOUN
faba-114	100	129	2	2	NUM
faba-114	100	130	4	4	NUM
faba-114	100	131	.8	.8	NUM
faba-114	100	132	3	3	NUM
faba-114	100	133	8	8	NUM
faba-114	100	134	%	%	NOUN
faba-114	100	135	2	2	NUM
faba-114	100	136	4	4	NUM
faba-114	100	137	.6	.6	NUM
faba-114	100	138	5	5	NUM
faba-114	100	139	0	0	NUM
faba-114	100	140	%	%	NOUN
faba-114	100	141	2	2	NUM
faba-114	100	142	2	2	NUM
faba-114	100	143	.5	.5	NUM
faba-114	100	144	6	6	NUM
faba-114	100	145	2	2	NUM
faba-114	100	146	%	%	NOUN
faba-114	100	147	2	2	NUM
faba-114	100	148	2	2	NUM
faba-114	100	149	.3	.3	NUM
faba-114	100	150	3	3	NUM
faba-114	100	151	9	9	NUM
faba-114	100	152	%	%	NOUN
faba-114	100	153	2	2	NUM
faba-114	100	154	1	1	NUM
faba-114	100	155	.7	.7	NUM
faba-114	100	156	6	6	NUM
faba-114	100	157	7	7	NUM
faba-114	100	158	%	%	NOUN
faba-114	100	159	2	2	NUM
faba-114	100	160	3	3	NUM
faba-114	100	161	.7	.7	NUM
faba-114	100	162	2	2	NUM
faba-114	100	163	9	9	NUM
faba-114	100	164	%	%	NOUN
faba-114	100	165	0	0	NUM
faba-114	100	166	50	50	NUM
faba-114	100	167	100	100	NUM
faba-114	100	168	150	150	NUM
faba-114	100	169	200	200	NUM
faba-114	100	170	250	250	NUM
faba-114	100	171	300	300	NUM
faba-114	100	172	350	350	NUM
faba-114	100	173	400	400	NUM
faba-114	100	174	450	450	NUM
faba-114	100	175	500	500	NUM
faba-114	100	176	0	0	NUM
faba-114	100	177	%	%	NOUN
faba-114	100	178	5	5	NUM
faba-114	100	179	%	%	NOUN
faba-114	100	180	10	10	NUM
faba-114	100	181	%	%	NOUN
faba-114	100	182	15	15	NUM
faba-114	100	183	%	%	NOUN
faba-114	100	184	20	20	NUM
faba-114	100	185	%	%	NOUN
faba-114	100	186	25	25	NUM
faba-114	100	187	%	%	NOUN
faba-114	100	188	30	30	NUM
faba-114	100	189	%	%	NOUN
faba-114	100	190	2013	2013	NUM
faba-114	100	191	2014	2014	NUM
faba-114	100	192	2015	2015	NUM
faba-114	100	193	2016	2016	NUM
faba-114	100	194	2017	2017	NUM
faba-114	100	195	2018	2018	NUM
faba-114	100	196	2019	2019	NUM
faba-114	100	197	2020	2020	NUM
faba-114	100	198	2021	2021	NUM
faba-114	100	199	total	total	NOUN
faba-114	100	200	uneployment	uneployment	ADJ
faba-114	100	201	15	15	NUM
faba-114	100	202	29	29	NUM
faba-114	100	203	г	г	NOUN
faba-114	100	204	.	.	PUNCT
faba-114	100	205	share	share	NOUN
faba-114	100	206	of	of	ADP
faba-114	100	207	15	15	NUM
faba-114	100	208	29	29	NUM
faba-114	100	209	г	г	NOUN
faba-114	100	210	.	.	PROPN
faba-114	100	211	from	from	ADP
faba-114	100	212	total	total	ADJ
faba-114	100	213	unemployment	unemployment	NOUN
faba-114	100	214	number	number	NOUN
faba-114	100	215	of	of	ADP
faba-114	100	216	people	people	NOUN
faba-114	100	217	in	in	ADP
faba-114	100	218	thousnads	thousnad	NOUN
faba-114	100	219	share	share	NOUN
faba-114	100	220	finance	finance	NOUN
faba-114	100	221	,	,	PUNCT
faba-114	100	222	accounting	accounting	NOUN
faba-114	100	223	and	and	CCONJ
faba-114	100	224	business	business	NOUN
faba-114	100	225	analysis	analysis	NOUN
faba-114	100	226	4	4	NUM
faba-114	100	227	(	(	PUNCT
faba-114	100	228	1	1	NUM
faba-114	100	229	)	)	PUNCT
faba-114	100	230	2022	2022	NUM
faba-114	100	231	31	31	NUM
faba-114	100	232	despite	despite	SCONJ
faba-114	100	233	the	the	DET
faba-114	100	234	observed	observe	VERB
faba-114	100	235	trends	trend	NOUN
faba-114	100	236	of	of	ADP
faba-114	100	237	declining	decline	VERB
faba-114	100	238	unemployment	unemployment	NOUN
faba-114	100	239	over	over	ADP
faba-114	100	240	the	the	DET
faba-114	100	241	last	last	ADJ
faba-114	100	242	few	few	ADJ
faba-114	100	243	years	year	NOUN
faba-114	100	244	,	,	PUNCT
faba-114	100	245	a	a	DET
faba-114	100	246	serious	serious	ADJ
faba-114	100	247	issue	issue	NOUN
faba-114	100	248	for	for	ADP
faba-114	100	249	young	young	ADJ
faba-114	100	250	people	people	NOUN
faba-114	100	251	in	in	ADP
faba-114	100	252	the	the	DET
faba-114	100	253	labor	labor	NOUN
faba-114	100	254	market	market	NOUN
faba-114	100	255	is	be	AUX
faba-114	100	256	“	"	PUNCT
faba-114	100	257	long	long	ADJ
faba-114	100	258	-	-	PUNCT
faba-114	100	259	term	term	NOUN
faba-114	100	260	unemployment	unemployment	NOUN
faba-114	100	261	”	"	PUNCT
faba-114	100	262	(	(	PUNCT
faba-114	100	263	eurostat	eurostat	PROPN
faba-114	100	264	,	,	PUNCT
faba-114	100	265	statistics	statistic	NOUN
faba-114	100	266	explained	explain	VERB
faba-114	100	267	)	)	PUNCT
faba-114	100	268	.	.	PUNCT
faba-114	101	1	the	the	DET
faba-114	101	2	main	main	ADJ
faba-114	101	3	problem	problem	NOUN
faba-114	101	4	with	with	ADP
faba-114	101	5	this	this	DET
faba-114	101	6	age	age	NOUN
faba-114	101	7	group	group	NOUN
faba-114	101	8	is	be	AUX
faba-114	101	9	the	the	DET
faba-114	101	10	negative	negative	ADJ
faba-114	101	11	influence	influence	NOUN
faba-114	101	12	on	on	ADP
faba-114	101	13	future	future	ADJ
faba-114	101	14	employment	employment	NOUN
faba-114	101	15	opportunities	opportunity	NOUN
faba-114	101	16	(	(	PUNCT
faba-114	101	17	gregg	gregg	NOUN
faba-114	101	18	and	and	CCONJ
faba-114	101	19	tominey	tominey	NOUN
faba-114	101	20	,	,	PUNCT
faba-114	101	21	2007	2007	NUM
faba-114	101	22	)	)	PUNCT
faba-114	101	23	.	.	PUNCT
faba-114	102	1	it	it	PRON
faba-114	102	2	is	be	AUX
faba-114	102	3	considered	consider	VERB
faba-114	102	4	that	that	SCONJ
faba-114	102	5	if	if	SCONJ
faba-114	102	6	a	a	DET
faba-114	102	7	young	young	ADJ
faba-114	102	8	person	person	NOUN
faba-114	102	9	has	have	AUX
faba-114	102	10	been	be	AUX
faba-114	102	11	unemployed	unemployed	ADJ
faba-114	102	12	for	for	ADP
faba-114	102	13	a	a	DET
faba-114	102	14	longer	long	ADJ
faba-114	102	15	period	period	NOUN
faba-114	102	16	of	of	ADP
faba-114	102	17	time	time	NOUN
faba-114	102	18	,	,	PUNCT
faba-114	102	19	that	that	PRON
faba-114	102	20	leaves	leave	VERB
faba-114	102	21	a	a	DET
faba-114	102	22	bad	bad	ADJ
faba-114	102	23	impression	impression	NOUN
faba-114	102	24	on	on	ADP
faba-114	102	25	future	future	ADJ
faba-114	102	26	potential	potential	ADJ
faba-114	102	27	employers	employer	NOUN
faba-114	102	28	,	,	PUNCT
faba-114	102	29	mainly	mainly	ADV
faba-114	102	30	due	due	ADP
faba-114	102	31	to	to	ADP
faba-114	102	32	an	an	DET
faba-114	102	33	insufficient	insufficient	ADJ
faba-114	102	34	amount	amount	NOUN
faba-114	102	35	of	of	ADP
faba-114	102	36	knowledge	knowledge	NOUN
faba-114	102	37	,	,	PUNCT
faba-114	102	38	skills	skill	NOUN
faba-114	102	39	,	,	PUNCT
faba-114	102	40	and	and	CCONJ
faba-114	102	41	work	work	NOUN
faba-114	102	42	experience	experience	NOUN
faba-114	102	43	(	(	PUNCT
faba-114	102	44	ryan	ryan	PROPN
faba-114	102	45	,	,	PUNCT
faba-114	102	46	2001	2001	NUM
faba-114	102	47	)	)	PUNCT
faba-114	102	48	.	.	PUNCT
faba-114	103	1	forecast	forecast	PROPN
faba-114	103	2	based	base	VERB
faba-114	103	3	on	on	ADP
faba-114	103	4	the	the	DET
faba-114	103	5	information	information	NOUN
faba-114	103	6	on	on	ADP
faba-114	103	7	the	the	DET
faba-114	103	8	unemployment	unemployment	NOUN
faba-114	103	9	rate	rate	NOUN
faba-114	103	10	from	from	ADP
faba-114	103	11	2013	2013	NUM
faba-114	103	12	to	to	ADP
faba-114	103	13	2021	2021	NUM
faba-114	103	14	,	,	PUNCT
faba-114	103	15	a	a	DET
faba-114	103	16	forecast	forecast	NOUN
faba-114	103	17	of	of	ADP
faba-114	103	18	the	the	DET
faba-114	103	19	coefficient	coefficient	NOUN
faba-114	103	20	for	for	ADP
faba-114	103	21	2022	2022	NUM
faba-114	103	22	and	and	CCONJ
faba-114	103	23	2023	2023	NUM
faba-114	103	24	will	will	AUX
faba-114	103	25	be	be	AUX
faba-114	103	26	made	make	VERB
faba-114	103	27	.	.	PUNCT
faba-114	104	1	as	as	SCONJ
faba-114	104	2	previously	previously	ADV
faba-114	104	3	mentioned	mention	VERB
faba-114	104	4	in	in	ADP
faba-114	104	5	the	the	DET
faba-114	104	6	methodology	methodology	NOUN
faba-114	104	7	section	section	NOUN
faba-114	104	8	,	,	PUNCT
faba-114	104	9	this	this	PRON
faba-114	104	10	will	will	AUX
faba-114	104	11	be	be	AUX
faba-114	104	12	done	do	VERB
faba-114	104	13	on	on	ADP
faba-114	104	14	the	the	DET
faba-114	104	15	basis	basis	NOUN
faba-114	104	16	of	of	ADP
faba-114	104	17	trend	trend	NOUN
faba-114	104	18	models	model	NOUN
faba-114	104	19	.	.	PUNCT
faba-114	105	1	10	10	NUM
faba-114	105	2	trend	trend	NOUN
faba-114	105	3	models	model	NOUN
faba-114	105	4	have	have	AUX
faba-114	105	5	been	be	AUX
faba-114	105	6	tested	test	VERB
faba-114	105	7	and	and	CCONJ
faba-114	105	8	their	their	PRON
faba-114	105	9	results	result	NOUN
faba-114	105	10	are	be	AUX
faba-114	105	11	illustrated	illustrate	VERB
faba-114	105	12	in	in	ADP
faba-114	105	13	table	table	NOUN
faba-114	105	14	1	1	NUM
faba-114	105	15	таble	таble	ADJ
faba-114	105	16	1	1	NUM
faba-114	105	17	.	.	PUNCT
faba-114	105	18	model	model	NOUN
faba-114	105	19	summary	summary	NOUN
faba-114	105	20	and	and	CCONJ
faba-114	105	21	parameter	parameter	NOUN
faba-114	105	22	estimates	estimate	VERB
faba-114	105	23	equation	equation	NOUN
faba-114	105	24	model	model	NOUN
faba-114	105	25	summary	summary	NOUN
faba-114	105	26	parameter	parameter	NOUN
faba-114	105	27	estimates	estimate	VERB
faba-114	105	28	r	r	NOUN
faba-114	105	29	square	square	PROPN
faba-114	105	30	f	f	PROPN
faba-114	105	31	df1	df1	PROPN
faba-114	105	32	df2	df2	PROPN
faba-114	105	33	sig	sig	PROPN
faba-114	105	34	.	.	PUNCT
faba-114	106	1	constant	constant	ADJ
faba-114	106	2	b1	b1	PROPN
faba-114	106	3	b2	b2	NOUN
faba-114	106	4	b3	b3	PROPN
faba-114	106	5	linear	linear	NOUN
faba-114	106	6	.727	.727	NUM
faba-114	107	1	18.670	18.670	NUM
faba-114	107	2	1	1	NUM
faba-114	107	3	7	7	NUM
faba-114	107	4	.003	.003	NUM
faba-114	107	5	19.867	19.867	NUM
faba-114	107	6	-1.520	-1.520	NOUN
faba-114	107	7	logarithmic	logarithmic	ADJ
faba-114	107	8	.900	.900	NUM
faba-114	107	9	63.345	63.345	NUM
faba-114	107	10	1	1	NUM
faba-114	107	11	7	7	NUM
faba-114	107	12	.000	.000	NUM
faba-114	107	13	21.427	21.427	NUM
faba-114	107	14	-6.440	-6.440	X
faba-114	107	15	inverse	inverse	NOUN
faba-114	107	16	.873	.873	NUM
faba-114	107	17	48.007	48.007	NUM
faba-114	107	18	1	1	NUM
faba-114	107	19	7	7	NUM
faba-114	107	20	.000	.000	NUM
faba-114	107	21	7.240	7.240	NUM
faba-114	107	22	15.991	15.991	NUM
faba-114	107	23	quadratic	quadratic	ADJ
faba-114	107	24	.987	.987	NUM
faba-114	107	25	222.485	222.485	NUM
faba-114	107	26	2	2	NUM
faba-114	107	27	6	6	NUM
faba-114	107	28	.000	.000	NUM
faba-114	107	29	27.212	27.212	NUM
faba-114	107	30	-5.526	-5.526	NOUN
faba-114	107	31	.401	.401	NUM
faba-114	107	32	cubic	cubic	ADJ
faba-114	107	33	.993	.993	NUM
faba-114	107	34	247.056	247.056	NUM
faba-114	107	35	3	3	NUM
faba-114	107	36	5	5	NUM
faba-114	107	37	.000	.000	NUM
faba-114	107	38	25.251	25.251	NUM
faba-114	107	39	-3.649	-3.649	PUNCT
faba-114	108	1	-.045	-.045	ADJ
faba-114	108	2	.030	.030	NUM
faba-114	108	3	compound	compound	VERB
faba-114	108	4	.711	.711	NUM
faba-114	108	5	17.216	17.216	NUM
faba-114	108	6	1	1	NUM
faba-114	108	7	7	7	NUM
faba-114	108	8	.004	.004	NUM
faba-114	108	9	20.460	20.460	NUM
faba-114	108	10	.891	.891	NUM
faba-114	108	11	power	power	NOUN
faba-114	108	12	.836	.836	NUM
faba-114	108	13	35.632	35.632	NUM
faba-114	108	14	1	1	NUM
faba-114	108	15	7	7	NUM
faba-114	108	16	.001	.001	NUM
faba-114	109	1	22.623	22.623	NUM
faba-114	109	2	-.476	-.476	PROPN
faba-114	109	3	s	s	PART
faba-114	109	4	.757	.757	NUM
faba-114	109	5	21.856	21.856	NUM
faba-114	109	6	1	1	NUM
faba-114	109	7	7	7	NUM
faba-114	109	8	.002	.002	NUM
faba-114	109	9	2.083	2.083	NUM
faba-114	109	10	1.142	1.142	NUM
faba-114	109	11	growth	growth	NOUN
faba-114	109	12	.711	.711	NUM
faba-114	109	13	17.216	17.216	NUM
faba-114	109	14	1	1	NUM
faba-114	109	15	7	7	NUM
faba-114	109	16	.004	.004	NUM
faba-114	109	17	3.018	3.018	NUM
faba-114	109	18	-.115	-.115	NOUN
faba-114	109	19	exponential	exponential	ADJ
faba-114	109	20	.711	.711	NUM
faba-114	109	21	17.216	17.216	NUM
faba-114	109	22	1	1	NUM
faba-114	109	23	7	7	NUM
faba-114	109	24	.004	.004	NUM
faba-114	109	25	20.460	20.460	NUM
faba-114	109	26	-.115	-.115	PROPN
faba-114	109	27	source	source	NOUN
faba-114	109	28	:	:	PUNCT
faba-114	109	29	calculations	calculation	NOUN
faba-114	109	30	by	by	ADP
faba-114	109	31	autors	autor	NOUN
faba-114	109	32	’	'	PUNCT
faba-114	109	33	the	the	DET
faba-114	109	34	cubic	cubic	ADJ
faba-114	109	35	model	model	NOUN
faba-114	109	36	is	be	AUX
faba-114	109	37	the	the	DET
faba-114	109	38	most	most	ADV
faba-114	109	39	appropriate	appropriate	ADJ
faba-114	109	40	one	one	NUM
faba-114	109	41	to	to	PART
faba-114	109	42	make	make	VERB
faba-114	109	43	a	a	DET
faba-114	109	44	forecast	forecast	NOUN
faba-114	109	45	on	on	ADP
faba-114	109	46	as	as	SCONJ
faba-114	109	47	it	it	PRON
faba-114	109	48	has	have	VERB
faba-114	109	49	the	the	DET
faba-114	109	50	highest	high	ADJ
faba-114	109	51	coefficient	coefficient	NOUN
faba-114	109	52	of	of	ADP
faba-114	109	53	determination	determination	NOUN
faba-114	109	54	(	(	PUNCT
faba-114	109	55	r	r	NOUN
faba-114	109	56	square	square	NOUN
faba-114	109	57	=	=	NOUN
faba-114	109	58	0,993	0,993	NUM
faba-114	109	59	)	)	PUNCT
faba-114	109	60	.	.	PUNCT
faba-114	110	1	this	this	PRON
faba-114	110	2	is	be	AUX
faba-114	110	3	what	what	PRON
faba-114	110	4	it	it	PRON
faba-114	110	5	looks	look	VERB
faba-114	110	6	like	like	ADP
faba-114	110	7	:	:	PUNCT
faba-114	110	8	ŷ𝑡	ŷ𝑡	PROPN
faba-114	110	9	=	=	PUNCT
faba-114	110	10	β0	β0	PROPN
faba-114	110	11	+	+	CCONJ
faba-114	110	12	β1𝑡	β1𝑡	X
faba-114	110	13	+	+	PROPN
faba-114	110	14	β2𝑡²+β3𝑡³	β2𝑡²+β3𝑡³	PROPN
faba-114	110	15	а	а	X
faba-114	110	16	оценената	оценената	ADP
faba-114	110	17	му	му	PROPN
faba-114	110	18	форма	форма	NOUN
faba-114	110	19	е	е	NOUN
faba-114	110	20	:	:	PUNCT
faba-114	110	21	ŷ𝑡	ŷ𝑡	X
faba-114	110	22	=	=	PUNCT
faba-114	110	23	25,25	25,25	ADJ
faba-114	110	24	−	−	ADP
faba-114	110	25	3,65𝑡	3,65𝑡	NUM
faba-114	110	26	−0,05𝑡²+0,03𝑡³	−0,05𝑡²+0,03𝑡³	NOUN
faba-114	110	27	source	source	NOUN
faba-114	110	28	:	:	PUNCT
faba-114	110	29	calculations	calculation	NOUN
faba-114	110	30	by	by	ADP
faba-114	110	31	autors	autor	NOUN
faba-114	110	32	’	'	PUNCT
faba-114	110	33	figure	figure	NOUN
faba-114	110	34	3	3	NUM
faba-114	110	35	.	.	PUNCT
faba-114	110	36	forecast	forecast	NOUN
faba-114	110	37	on	on	ADP
faba-114	110	38	youth	youth	NOUN
faba-114	110	39	unemployment	unemployment	NOUN
faba-114	110	40	for	for	ADP
faba-114	110	41	2022	2022	NUM
faba-114	110	42	and	and	CCONJ
faba-114	110	43	2023	2023	NUM
faba-114	110	44	according	accord	VERB
faba-114	110	45	to	to	ADP
faba-114	110	46	our	our	PRON
faba-114	110	47	forecast	forecast	NOUN
faba-114	110	48	,	,	PUNCT
faba-114	110	49	the	the	DET
faba-114	110	50	unemployment	unemployment	NOUN
faba-114	110	51	rate	rate	NOUN
faba-114	110	52	is	be	AUX
faba-114	110	53	expected	expect	VERB
faba-114	110	54	to	to	PART
faba-114	110	55	increase	increase	VERB
faba-114	110	56	up	up	ADP
faba-114	110	57	to	to	PART
faba-114	110	58	14	14	NUM
faba-114	110	59	%	%	NOUN
faba-114	110	60	in	in	ADP
faba-114	110	61	2022	2022	NUM
faba-114	110	62	.	.	PUNCT
faba-114	111	1	with	with	ADP
faba-114	111	2	a	a	DET
faba-114	111	3	95	95	NUM
faba-114	111	4	%	%	NOUN
faba-114	111	5	probability	probability	NOUN
faba-114	111	6	,	,	PUNCT
faba-114	111	7	it	it	PRON
faba-114	111	8	can	can	AUX
faba-114	111	9	be	be	AUX
faba-114	111	10	stated	state	VERB
faba-114	111	11	that	that	SCONJ
faba-114	111	12	the	the	DET
faba-114	111	13	coefficient	coefficient	NOUN
faba-114	111	14	will	will	AUX
faba-114	111	15	be	be	AUX
faba-114	111	16	between	between	ADP
faba-114	111	17	11	11	NUM
faba-114	111	18	%	%	NOUN
faba-114	111	19	and	and	CCONJ
faba-114	111	20	17	17	NUM
faba-114	111	21	%	%	NOUN
faba-114	111	22	.	.	PUNCT
faba-114	112	1	these	these	DET
faba-114	112	2	.00	.00	NUM
faba-114	112	3	5.00	5.00	NUM
faba-114	112	4	10.00	10.00	NUM
faba-114	112	5	15.00	15.00	NUM
faba-114	112	6	20.00	20.00	NUM
faba-114	112	7	25.00	25.00	NUM
faba-114	112	8	30.00	30.00	NUM
faba-114	112	9	2013	2013	NUM
faba-114	112	10	2014	2014	NUM
faba-114	112	11	2015	2015	NUM
faba-114	112	12	2016	2016	NUM
faba-114	112	13	2017	2017	NUM
faba-114	112	14	2018	2018	NUM
faba-114	112	15	2019	2019	NUM
faba-114	112	16	2020	2020	NUM
faba-114	112	17	2021	2021	NUM
faba-114	112	18	2022	2022	NUM
faba-114	112	19	2023	2023	NUM
faba-114	112	20	unemployment	unemployment	NOUN
faba-114	112	21	rate	rate	NOUN
faba-114	112	22	forecast	forecast	NOUN
faba-114	112	23	lower	low	ADJ
faba-114	112	24	confidence	confidence	NOUN
faba-114	112	25	limit	limit	VERB
faba-114	112	26	upper	upper	ADJ
faba-114	112	27	confidence	confidence	NOUN
faba-114	112	28	limit	limit	NOUN
faba-114	112	29	finance	finance	NOUN
faba-114	112	30	,	,	PUNCT
faba-114	112	31	accounting	accounting	NOUN
faba-114	112	32	and	and	CCONJ
faba-114	112	33	business	business	NOUN
faba-114	112	34	analysis	analysis	NOUN
faba-114	112	35	4	4	NUM
faba-114	112	36	(	(	PUNCT
faba-114	112	37	1	1	NUM
faba-114	112	38	)	)	PUNCT
faba-114	112	39	2022	2022	NUM
faba-114	112	40	32	32	NUM
faba-114	112	41	numbers	number	NOUN
faba-114	112	42	will	will	AUX
faba-114	112	43	continue	continue	VERB
faba-114	112	44	to	to	PART
faba-114	112	45	rise	rise	VERB
faba-114	112	46	in	in	ADP
faba-114	112	47	2023	2023	NUM
faba-114	112	48	and	and	CCONJ
faba-114	112	49	will	will	AUX
faba-114	112	50	reach	reach	VERB
faba-114	112	51	19	19	NUM
faba-114	112	52	%	%	NOUN
faba-114	112	53	.	.	PUNCT
faba-114	113	1	once	once	ADV
faba-114	113	2	again	again	ADV
faba-114	113	3	,	,	PUNCT
faba-114	113	4	with	with	ADP
faba-114	113	5	a	a	DET
faba-114	113	6	95	95	NUM
faba-114	113	7	%	%	NOUN
faba-114	113	8	probability	probability	NOUN
faba-114	113	9	,	,	PUNCT
faba-114	113	10	it	it	PRON
faba-114	113	11	can	can	AUX
faba-114	113	12	be	be	AUX
faba-114	113	13	stated	state	VERB
faba-114	113	14	that	that	SCONJ
faba-114	113	15	the	the	DET
faba-114	113	16	coefficient	coefficient	NOUN
faba-114	113	17	will	will	AUX
faba-114	113	18	be	be	AUX
faba-114	113	19	between	between	ADP
faba-114	113	20	14	14	NUM
faba-114	113	21	%	%	NOUN
faba-114	113	22	and	and	CCONJ
faba-114	113	23	25	25	NUM
faba-114	113	24	%	%	NOUN
faba-114	113	25	the	the	DET
faba-114	113	26	width	width	NOUN
faba-114	113	27	of	of	ADP
faba-114	113	28	the	the	DET
faba-114	113	29	interval	interval	NOUN
faba-114	113	30	is	be	AUX
faba-114	113	31	not	not	PART
faba-114	113	32	very	very	ADV
faba-114	113	33	informative	informative	ADJ
faba-114	113	34	due	due	ADP
faba-114	113	35	to	to	ADP
faba-114	113	36	the	the	DET
faba-114	113	37	short	short	ADJ
faba-114	113	38	length	length	NOUN
faba-114	113	39	of	of	ADP
faba-114	113	40	the	the	DET
faba-114	113	41	dynamic	dynamic	ADJ
faba-114	113	42	array	array	NOUN
faba-114	113	43	.	.	PUNCT
faba-114	114	1	despite	despite	SCONJ
faba-114	114	2	this	this	PRON
faba-114	114	3	,	,	PUNCT
faba-114	114	4	the	the	DET
faba-114	114	5	indications	indication	NOUN
faba-114	114	6	we	we	PRON
faba-114	114	7	have	have	AUX
faba-114	114	8	observed	observe	VERB
faba-114	114	9	since	since	SCONJ
faba-114	114	10	the	the	DET
faba-114	114	11	beginning	beginning	NOUN
faba-114	114	12	of	of	ADP
faba-114	114	13	the	the	DET
faba-114	114	14	year	year	NOUN
faba-114	114	15	showcase	showcase	NOUN
faba-114	114	16	that	that	PRON
faba-114	114	17	forecast	forecast	NOUN
faba-114	114	18	will	will	AUX
faba-114	114	19	likely	likely	ADV
faba-114	114	20	come	come	VERB
faba-114	114	21	true	true	ADJ
faba-114	114	22	.	.	PUNCT
faba-114	115	1	a	a	DET
faba-114	115	2	long	long	ADJ
faba-114	115	3	-	-	PUNCT
faba-114	115	4	term	term	NOUN
faba-114	115	5	forecast	forecast	NOUN
faba-114	115	6	is	be	AUX
faba-114	115	7	not	not	PART
faba-114	115	8	advisable	advisable	ADJ
faba-114	115	9	as	as	SCONJ
faba-114	115	10	the	the	DET
faba-114	115	11	economic	economic	ADJ
faba-114	115	12	situation	situation	NOUN
faba-114	115	13	is	be	AUX
faba-114	115	14	currently	currently	ADV
faba-114	115	15	shifting	shift	VERB
faba-114	115	16	at	at	ADP
faba-114	115	17	a	a	DET
faba-114	115	18	rapid	rapid	ADJ
faba-114	115	19	rate	rate	NOUN
faba-114	115	20	and	and	CCONJ
faba-114	115	21	other	other	ADJ
faba-114	115	22	long	long	ADJ
faba-114	115	23	-	-	PUNCT
faba-114	115	24	term	term	NOUN
faba-114	115	25	forecasts	forecast	NOUN
faba-114	115	26	would	would	AUX
faba-114	115	27	be	be	AUX
faba-114	115	28	untenable	untenable	ADJ
faba-114	115	29	analysis	analysis	NOUN
faba-114	115	30	of	of	ADP
faba-114	115	31	unemployment	unemployment	NOUN
faba-114	115	32	rates	rate	NOUN
faba-114	115	33	among	among	ADP
faba-114	115	34	young	young	ADJ
faba-114	115	35	people	people	NOUN
faba-114	115	36	at	at	ADP
faba-114	115	37	certain	certain	ADJ
faba-114	115	38	educational	educational	ADJ
faba-114	115	39	levels	level	NOUN
faba-114	115	40	the	the	DET
faba-114	115	41	data	datum	NOUN
faba-114	115	42	on	on	ADP
faba-114	115	43	the	the	DET
faba-114	115	44	unemployment	unemployment	NOUN
faba-114	115	45	rate	rate	NOUN
faba-114	115	46	regarding	regard	VERB
faba-114	115	47	young	young	ADJ
faba-114	115	48	people	people	NOUN
faba-114	115	49	who	who	PRON
faba-114	115	50	are	be	AUX
faba-114	115	51	at	at	ADP
faba-114	115	52	certain	certain	ADJ
faba-114	115	53	educational	educational	ADJ
faba-114	115	54	levels	level	NOUN
faba-114	115	55	are	be	AUX
faba-114	115	56	also	also	ADV
faba-114	115	57	of	of	ADP
faba-114	115	58	great	great	ADJ
faba-114	115	59	interest	interest	NOUN
faba-114	115	60	.	.	PUNCT
faba-114	116	1	due	due	ADP
faba-114	116	2	to	to	ADP
faba-114	116	3	the	the	DET
faba-114	116	4	aforementioned	aforementioned	ADJ
faba-114	116	5	restrictions	restriction	NOUN
faba-114	116	6	,	,	PUNCT
faba-114	116	7	the	the	DET
faba-114	116	8	nsi	nsi	NOUN
faba-114	116	9	does	do	AUX
faba-114	116	10	not	not	PART
faba-114	116	11	maintain	maintain	VERB
faba-114	116	12	publicly	publicly	ADV
faba-114	116	13	available	available	ADJ
faba-114	116	14	statistics	statistic	NOUN
faba-114	116	15	regarding	regard	VERB
faba-114	116	16	the	the	DET
faba-114	116	17	work	work	NOUN
faba-114	116	18	performance	performance	NOUN
faba-114	116	19	of	of	ADP
faba-114	116	20	people	people	NOUN
faba-114	116	21	aged	age	VERB
faba-114	116	22	between	between	ADP
faba-114	116	23	15	15	NUM
faba-114	116	24	-	-	SYM
faba-114	116	25	29	29	NUM
faba-114	116	26	.	.	PUNCT
faba-114	117	1	therefore	therefore	ADV
faba-114	117	2	,	,	PUNCT
faba-114	117	3	we	we	PRON
faba-114	117	4	will	will	AUX
faba-114	117	5	once	once	ADV
faba-114	117	6	more	more	ADJ
faba-114	117	7	use	use	VERB
faba-114	117	8	eurostat	eurostat	PROPN
faba-114	117	9	statistics	statistic	NOUN
faba-114	117	10	to	to	PART
faba-114	117	11	analyze	analyze	VERB
faba-114	117	12	the	the	DET
faba-114	117	13	unemployment	unemployment	NOUN
faba-114	117	14	at	at	ADP
faba-114	117	15	certain	certain	ADJ
faba-114	117	16	educational	educational	ADJ
faba-114	117	17	levels	level	NOUN
faba-114	117	18	.	.	PUNCT
faba-114	118	1	in	in	ADP
faba-114	118	2	the	the	DET
faba-114	118	3	case	case	NOUN
faba-114	118	4	of	of	ADP
faba-114	118	5	youth	youth	NOUN
faba-114	118	6	unemployment	unemployment	NOUN
faba-114	118	7	,	,	PUNCT
faba-114	118	8	the	the	DET
faba-114	118	9	levels	level	NOUN
faba-114	118	10	of	of	ADP
faba-114	118	11	education	education	NOUN
faba-114	118	12	undoubtedly	undoubtedly	ADV
faba-114	118	13	have	have	VERB
faba-114	118	14	an	an	DET
faba-114	118	15	impact	impact	NOUN
faba-114	118	16	.	.	PUNCT
faba-114	119	1	the	the	DET
faba-114	119	2	importance	importance	NOUN
faba-114	119	3	of	of	ADP
faba-114	119	4	education	education	NOUN
faba-114	119	5	among	among	ADP
faba-114	119	6	youth	youth	NOUN
faba-114	119	7	unemployment	unemployment	NOUN
faba-114	119	8	can	can	AUX
faba-114	119	9	be	be	AUX
faba-114	119	10	seen	see	VERB
faba-114	119	11	in	in	ADP
faba-114	119	12	figure	figure	NOUN
faba-114	119	13	4	4	NUM
faba-114	119	14	.	.	PUNCT
faba-114	119	15	source	source	NOUN
faba-114	119	16	:	:	PUNCT
faba-114	119	17	eurostat	eurostat	PROPN
faba-114	119	18	figure	figure	NOUN
faba-114	119	19	4	4	NUM
faba-114	119	20	.	.	PUNCT
faba-114	120	1	youth	youth	NOUN
faba-114	120	2	unemployment	unemployment	NOUN
faba-114	120	3	rate	rate	NOUN
faba-114	120	4	at	at	ADP
faba-114	120	5	different	different	ADJ
faba-114	120	6	educational	educational	ADJ
faba-114	120	7	levels	level	NOUN
faba-114	120	8	(	(	PUNCT
faba-114	120	9	15	15	NUM
faba-114	120	10	-	-	SYM
faba-114	120	11	29	29	NUM
faba-114	120	12	)	)	PUNCT
faba-114	120	13	the	the	DET
faba-114	120	14	highest	high	ADJ
faba-114	120	15	percentage	percentage	NOUN
faba-114	120	16	of	of	ADP
faba-114	120	17	unemployment	unemployment	NOUN
faba-114	120	18	can	can	AUX
faba-114	120	19	be	be	AUX
faba-114	120	20	found	find	VERB
faba-114	120	21	among	among	ADP
faba-114	120	22	young	young	ADJ
faba-114	120	23	people	people	NOUN
faba-114	120	24	who	who	PRON
faba-114	120	25	have	have	VERB
faba-114	120	26	the	the	DET
faba-114	120	27	lowest	low	ADJ
faba-114	120	28	possible	possible	ADJ
faba-114	120	29	degree	degree	NOUN
faba-114	120	30	of	of	ADP
faba-114	120	31	education	education	NOUN
faba-114	120	32	.	.	PUNCT
faba-114	121	1	in	in	ADP
faba-114	121	2	2013	2013	NUM
faba-114	121	3	,	,	PUNCT
faba-114	121	4	it	it	PRON
faba-114	121	5	began	begin	VERB
faba-114	121	6	at	at	ADP
faba-114	121	7	44	44	NUM
faba-114	121	8	%	%	NOUN
faba-114	121	9	and	and	CCONJ
faba-114	121	10	reached	reach	VERB
faba-114	121	11	16.8	16.8	NUM
faba-114	121	12	%	%	NOUN
faba-114	121	13	before	before	ADP
faba-114	121	14	the	the	DET
faba-114	121	15	pandemic	pandemic	ADJ
faba-114	121	16	(	(	PUNCT
faba-114	121	17	eurostat	eurostat	PROPN
faba-114	121	18	)	)	PUNCT
faba-114	121	19	.	.	PUNCT
faba-114	122	1	in	in	ADP
faba-114	122	2	2020	2020	NUM
faba-114	122	3	,	,	PUNCT
faba-114	122	4	there	there	PRON
faba-114	122	5	is	be	VERB
faba-114	122	6	a	a	DET
faba-114	122	7	slight	slight	ADJ
faba-114	122	8	increase	increase	NOUN
faba-114	122	9	of	of	ADP
faba-114	122	10	the	the	DET
faba-114	122	11	coefficient	coefficient	NOUN
faba-114	122	12	reaching	reach	VERB
faba-114	122	13	17.1	17.1	NUM
faba-114	122	14	%	%	NOUN
faba-114	122	15	due	due	ADP
faba-114	122	16	to	to	ADP
faba-114	122	17	covid-19	covid-19	PROPN
faba-114	122	18	,	,	PUNCT
faba-114	122	19	however	however	ADV
faba-114	122	20	,	,	PUNCT
faba-114	122	21	in	in	ADP
faba-114	122	22	2021	2021	NUM
faba-114	122	23	it	it	PRON
faba-114	122	24	is	be	AUX
faba-114	122	25	much	much	ADV
faba-114	122	26	more	more	ADV
faba-114	122	27	tangible	tangible	ADJ
faba-114	122	28	,	,	PUNCT
faba-114	122	29	reaching	reach	VERB
faba-114	122	30	24.2	24.2	NUM
faba-114	122	31	%	%	NOUN
faba-114	122	32	.	.	PUNCT
faba-114	123	1	the	the	DET
faba-114	123	2	lowest	low	ADJ
faba-114	123	3	percentage	percentage	NOUN
faba-114	123	4	of	of	ADP
faba-114	123	5	unemployment	unemployment	NOUN
faba-114	123	6	can	can	AUX
faba-114	123	7	be	be	AUX
faba-114	123	8	found	find	VERB
faba-114	123	9	among	among	ADP
faba-114	123	10	young	young	ADJ
faba-114	123	11	people	people	NOUN
faba-114	123	12	who	who	PRON
faba-114	123	13	have	have	VERB
faba-114	123	14	higher	high	ADJ
faba-114	123	15	education	education	NOUN
faba-114	123	16	.	.	PUNCT
faba-114	124	1	in	in	ADP
faba-114	124	2	the	the	DET
faba-114	124	3	beginning	beginning	NOUN
faba-114	124	4	of	of	ADP
faba-114	124	5	the	the	DET
faba-114	124	6	period	period	NOUN
faba-114	124	7	,	,	PUNCT
faba-114	124	8	the	the	DET
faba-114	124	9	unemployment	unemployment	NOUN
faba-114	124	10	rate	rate	NOUN
faba-114	124	11	is	be	AUX
faba-114	124	12	3.3	3.3	NUM
faba-114	124	13	times	time	NOUN
faba-114	124	14	lower	low	ADJ
faba-114	124	15	(	(	PUNCT
faba-114	124	16	13,5	13,5	NUM
faba-114	124	17	%	%	NOUN
faba-114	124	18	)	)	PUNCT
faba-114	124	19	in	in	ADP
faba-114	124	20	comparison	comparison	NOUN
faba-114	124	21	to	to	ADP
faba-114	124	22	the	the	DET
faba-114	124	23	young	young	ADJ
faba-114	124	24	people	people	NOUN
faba-114	124	25	who	who	PRON
faba-114	124	26	only	only	ADV
faba-114	124	27	have	have	VERB
faba-114	124	28	primary	primary	ADJ
faba-114	124	29	education	education	NOUN
faba-114	124	30	.	.	PUNCT
faba-114	125	1	at	at	ADP
faba-114	125	2	the	the	DET
faba-114	125	3	end	end	NOUN
faba-114	125	4	of	of	ADP
faba-114	125	5	the	the	DET
faba-114	125	6	period	period	NOUN
faba-114	125	7	,	,	PUNCT
faba-114	125	8	the	the	DET
faba-114	125	9	unemployment	unemployment	NOUN
faba-114	125	10	rate	rate	NOUN
faba-114	125	11	becomes	become	VERB
faba-114	125	12	4.5	4.5	NUM
faba-114	125	13	times	time	NOUN
faba-114	125	14	lower	low	ADJ
faba-114	125	15	(	(	PUNCT
faba-114	125	16	5,2	5,2	NUM
faba-114	125	17	%	%	NOUN
faba-114	125	18	)	)	PUNCT
faba-114	125	19	among	among	ADP
faba-114	125	20	young	young	ADJ
faba-114	125	21	people	people	NOUN
faba-114	125	22	who	who	PRON
faba-114	125	23	have	have	VERB
faba-114	125	24	a	a	DET
faba-114	125	25	bachelor	bachelor	NOUN
faba-114	125	26	's	's	PART
faba-114	125	27	degree	degree	NOUN
faba-114	125	28	,	,	PUNCT
faba-114	125	29	a	a	DET
faba-114	125	30	master	master	NOUN
faba-114	125	31	’s	’s	PART
faba-114	125	32	degree	degree	NOUN
faba-114	125	33	,	,	PUNCT
faba-114	125	34	and	and	CCONJ
faba-114	125	35	a	a	DET
faba-114	125	36	phd	phd	NOUN
faba-114	125	37	.	.	PUNCT
faba-114	126	1	what	what	PRON
faba-114	126	2	is	be	AUX
faba-114	126	3	more	more	ADJ
faba-114	126	4	,	,	PUNCT
faba-114	126	5	this	this	PRON
faba-114	126	6	is	be	AUX
faba-114	126	7	the	the	DET
faba-114	126	8	only	only	ADJ
faba-114	126	9	educational	educational	ADJ
faba-114	126	10	level	level	NOUN
faba-114	126	11	whose	whose	DET
faba-114	126	12	unemployment	unemployment	NOUN
faba-114	126	13	rate	rate	NOUN
faba-114	126	14	has	have	AUX
faba-114	126	15	started	start	VERB
faba-114	126	16	to	to	PART
faba-114	126	17	rise	rise	VERB
faba-114	126	18	in	in	ADP
faba-114	126	19	2020	2020	NUM
faba-114	126	20	as	as	ADP
faba-114	126	21	a	a	DET
faba-114	126	22	result	result	NOUN
faba-114	126	23	of	of	ADP
faba-114	126	24	covid-19	covid-19	PROPN
faba-114	126	25	(	(	PUNCT
faba-114	126	26	from	from	ADP
faba-114	126	27	4.1	4.1	NUM
faba-114	126	28	%	%	NOUN
faba-114	126	29	to	to	ADP
faba-114	126	30	5.5	5.5	NUM
faba-114	126	31	%	%	NOUN
faba-114	126	32	)	)	PUNCT
faba-114	126	33	,	,	PUNCT
faba-114	126	34	however	however	ADV
faba-114	126	35	,	,	PUNCT
faba-114	126	36	in	in	ADP
faba-114	126	37	2021	2021	NUM
faba-114	126	38	it	it	PRON
faba-114	126	39	started	start	VERB
faba-114	126	40	to	to	PART
faba-114	126	41	decrease	decrease	VERB
faba-114	126	42	from	from	ADP
faba-114	126	43	5.5	5.5	NUM
faba-114	126	44	%	%	NOUN
faba-114	126	45	of	of	ADP
faba-114	126	46	5.2	5.2	NUM
faba-114	126	47	%	%	NOUN
faba-114	126	48	)	)	PUNCT
faba-114	126	49	.	.	PUNCT
faba-114	127	1	all	all	DET
faba-114	127	2	other	other	ADJ
faba-114	127	3	levels	level	NOUN
faba-114	127	4	of	of	ADP
faba-114	127	5	education	education	NOUN
faba-114	127	6	mark	mark	VERB
faba-114	127	7	an	an	DET
faba-114	127	8	increase	increase	NOUN
faba-114	127	9	after	after	ADP
faba-114	127	10	the	the	DET
faba-114	127	11	pandemic	pandemic	ADJ
faba-114	127	12	.	.	PUNCT
faba-114	128	1	discussion	discussion	NOUN
faba-114	128	2	and	and	CCONJ
faba-114	128	3	conclusions	conclusion	NOUN
faba-114	128	4	in	in	ADP
faba-114	128	5	times	time	NOUN
faba-114	128	6	of	of	ADP
faba-114	128	7	economic	economic	ADJ
faba-114	128	8	crises	crisis	NOUN
faba-114	128	9	,	,	PUNCT
faba-114	128	10	one	one	NUM
faba-114	128	11	of	of	ADP
faba-114	128	12	the	the	DET
faba-114	128	13	most	most	ADV
faba-114	128	14	logical	logical	ADJ
faba-114	128	15	reasons	reason	NOUN
faba-114	128	16	for	for	ADP
faba-114	128	17	an	an	DET
faba-114	128	18	increase	increase	NOUN
faba-114	128	19	in	in	ADP
faba-114	128	20	unemployment	unemployment	NOUN
faba-114	128	21	among	among	ADP
faba-114	128	22	young	young	ADJ
faba-114	128	23	people	people	NOUN
faba-114	128	24	is	be	AUX
faba-114	128	25	the	the	DET
faba-114	128	26	lack	lack	NOUN
faba-114	128	27	of	of	ADP
faba-114	128	28	job	job	NOUN
faba-114	128	29	opportunities	opportunity	NOUN
faba-114	128	30	.	.	PUNCT
faba-114	129	1	a	a	DET
faba-114	129	2	large	large	ADJ
faba-114	129	3	part	part	NOUN
faba-114	129	4	of	of	ADP
faba-114	129	5	the	the	DET
faba-114	129	6	produce	produce	NOUN
faba-114	129	7	is	be	AUX
faba-114	129	8	reduced	reduce	VERB
faba-114	129	9	,	,	PUNCT
faba-114	129	10	which	which	PRON
faba-114	129	11	equates	equate	VERB
faba-114	129	12	to	to	ADP
faba-114	129	13	job	job	NOUN
faba-114	129	14	losses	loss	NOUN
faba-114	129	15	.	.	PUNCT
faba-114	130	1	in	in	ADP
faba-114	130	2	this	this	DET
faba-114	130	3	case	case	NOUN
faba-114	130	4	,	,	PUNCT
faba-114	130	5	young	young	ADJ
faba-114	130	6	people	people	NOUN
faba-114	130	7	are	be	AUX
faba-114	130	8	considered	consider	VERB
faba-114	130	9	at	at	ADP
faba-114	130	10	risk	risk	NOUN
faba-114	130	11	and	and	CCONJ
faba-114	130	12	suffer	suffer	VERB
faba-114	130	13	the	the	DET
faba-114	130	14	most	most	ADJ
faba-114	130	15	in	in	ADP
faba-114	130	16	the	the	DET
faba-114	130	17	labor	labor	NOUN
faba-114	130	18	market	market	NOUN
faba-114	130	19	.	.	PUNCT
faba-114	131	1	according	accord	VERB
faba-114	131	2	to	to	ADP
faba-114	131	3	our	our	PRON
faba-114	131	4	forecasts	forecast	NOUN
faba-114	131	5	,	,	PUNCT
faba-114	131	6	the	the	DET
faba-114	131	7	consequences	consequence	NOUN
faba-114	131	8	of	of	ADP
faba-114	131	9	covid-19	covid-19	PROPN
faba-114	131	10	on	on	ADP
faba-114	131	11	the	the	DET
faba-114	131	12	unemployment	unemployment	NOUN
faba-114	131	13	rate	rate	NOUN
faba-114	131	14	among	among	ADP
faba-114	131	15	young	young	ADJ
faba-114	131	16	people	people	NOUN
faba-114	131	17	are	be	AUX
faba-114	131	18	likely	likely	ADJ
faba-114	131	19	to	to	PART
faba-114	131	20	increase	increase	VERB
faba-114	131	21	over	over	ADP
faba-114	131	22	the	the	DET
faba-114	131	23	next	next	ADJ
faba-114	131	24	two	two	NUM
faba-114	131	25	years	year	NOUN
faba-114	131	26	.	.	PUNCT
faba-114	132	1	what	what	PRON
faba-114	132	2	is	be	AUX
faba-114	132	3	more	more	ADJ
faba-114	132	4	,	,	PUNCT
faba-114	132	5	the	the	DET
faba-114	132	6	low	low	ADJ
faba-114	132	7	level	level	NOUN
faba-114	132	8	of	of	ADP
faba-114	132	9	education	education	NOUN
faba-114	132	10	also	also	ADV
faba-114	132	11	contributes	contribute	VERB
faba-114	132	12	to	to	ADP
faba-114	132	13	this	this	PRON
faba-114	132	14	.	.	PUNCT
faba-114	133	1	according	accord	VERB
faba-114	133	2	to	to	ADP
faba-114	133	3	the	the	DET
faba-114	133	4	data	datum	NOUN
faba-114	133	5	for	for	ADP
faba-114	133	6	bulgaria	bulgaria	PROPN
faba-114	133	7	,	,	PUNCT
faba-114	133	8	in	in	ADP
faba-114	133	9	2021	2021	NUM
faba-114	133	10	compared	compare	VERB
faba-114	133	11	to	to	ADP
faba-114	133	12	2019	2019	NUM
faba-114	133	13	,	,	PUNCT
faba-114	133	14	unemployment	unemployment	NOUN
faba-114	133	15	among	among	ADP
faba-114	133	16	young	young	ADJ
faba-114	133	17	people	people	NOUN
faba-114	133	18	with	with	ADP
faba-114	133	19	primary	primary	ADJ
faba-114	133	20	and	and	CCONJ
faba-114	133	21	lower	low	ADJ
faba-114	133	22	education	education	NOUN
faba-114	133	23	has	have	AUX
faba-114	133	24	increased	increase	VERB
faba-114	133	25	by	by	ADP
faba-114	133	26	7.4	7.4	NUM
faba-114	133	27	%	%	NOUN
faba-114	133	28	,	,	PUNCT
faba-114	133	29	with	with	ADP
faba-114	133	30	4.2	4.2	NUM
faba-114	133	31	%	%	NOUN
faba-114	133	32	among	among	ADP
faba-114	133	33	those	those	PRON
faba-114	133	34	who	who	PRON
faba-114	133	35	have	have	AUX
faba-114	133	36	acquired	acquire	VERB
faba-114	133	37	secondary	secondary	ADJ
faba-114	133	38	education	education	NOUN
faba-114	133	39	,	,	PUNCT
faba-114	133	40	and	and	CCONJ
faba-114	133	41	only	only	ADV
faba-114	133	42	with	with	ADP
faba-114	133	43	1	1	NUM
faba-114	133	44	%	%	NOUN
faba-114	133	45	among	among	ADP
faba-114	133	46	those	those	PRON
faba-114	133	47	with	with	ADP
faba-114	133	48	higher	high	ADJ
faba-114	133	49	education	education	NOUN
faba-114	133	50	.	.	PUNCT
faba-114	134	1	the	the	DET
faba-114	134	2	analysis	analysis	NOUN
faba-114	134	3	shows	show	VERB
faba-114	134	4	that	that	SCONJ
faba-114	134	5	young	young	ADJ
faba-114	134	6	people	people	NOUN
faba-114	134	7	in	in	ADP
faba-114	134	8	bulgaria	bulgaria	PROPN
faba-114	134	9	with	with	ADP
faba-114	134	10	higher	high	ADJ
faba-114	134	11	education	education	NOUN
faba-114	134	12	are	be	AUX
faba-114	134	13	at	at	ADP
faba-114	134	14	a	a	DET
faba-114	134	15	considerably	considerably	ADV
faba-114	134	16	lower	low	ADJ
faba-114	134	17	risk	risk	NOUN
faba-114	134	18	during	during	ADP
faba-114	134	19	the	the	DET
faba-114	134	20	00	00	NUM
faba-114	134	21	05	05	NUM
faba-114	134	22	10	10	NUM
faba-114	134	23	15	15	NUM
faba-114	134	24	20	20	NUM
faba-114	134	25	25	25	NUM
faba-114	134	26	30	30	NUM
faba-114	134	27	35	35	NUM
faba-114	134	28	40	40	NUM
faba-114	134	29	45	45	NUM
faba-114	134	30	50	50	NUM
faba-114	134	31	2	2	NUM
faba-114	134	32	0	0	NUM
faba-114	134	33	1	1	NUM
faba-114	134	34	3	3	NUM
faba-114	134	35	2	2	NUM
faba-114	134	36	0	0	NUM
faba-114	134	37	1	1	NUM
faba-114	134	38	4	4	NUM
faba-114	134	39	2	2	NUM
faba-114	134	40	0	0	NUM
faba-114	134	41	1	1	NUM
faba-114	134	42	5	5	NUM
faba-114	134	43	2	2	NUM
faba-114	134	44	0	0	NUM
faba-114	134	45	1	1	NUM
faba-114	134	46	6	6	NUM
faba-114	134	47	2	2	NUM
faba-114	134	48	0	0	NUM
faba-114	134	49	1	1	NUM
faba-114	134	50	7	7	NUM
faba-114	134	51	2	2	NUM
faba-114	134	52	0	0	NUM
faba-114	134	53	1	1	NUM
faba-114	134	54	8	8	NUM
faba-114	134	55	2	2	NUM
faba-114	134	56	0	0	NUM
faba-114	134	57	1	1	NUM
faba-114	134	58	9	9	NUM
faba-114	134	59	2	2	NUM
faba-114	134	60	0	0	NUM
faba-114	134	61	2	2	NUM
faba-114	134	62	0	0	NUM
faba-114	134	63	2	2	NUM
faba-114	134	64	0	0	NUM
faba-114	134	65	2	2	NUM
faba-114	134	66	1	1	NUM
faba-114	134	67	primary	primary	ADJ
faba-114	134	68	education	education	NOUN
faba-114	134	69	secondary	secondary	ADJ
faba-114	134	70	education	education	NOUN
faba-114	134	71	higher	high	ADJ
faba-114	134	72	education	education	NOUN
faba-114	134	73	finance	finance	NOUN
faba-114	134	74	,	,	PUNCT
faba-114	134	75	accounting	accounting	NOUN
faba-114	134	76	and	and	CCONJ
faba-114	134	77	business	business	NOUN
faba-114	134	78	analysis	analysis	NOUN
faba-114	134	79	4	4	NUM
faba-114	134	80	(	(	PUNCT
faba-114	134	81	1	1	NUM
faba-114	134	82	)	)	PUNCT
faba-114	134	83	2022	2022	NUM
faba-114	134	84	33	33	NUM
faba-114	134	85	covid-19	covid-19	PROPN
faba-114	134	86	pandemic	pandemic	NOUN
faba-114	134	87	in	in	ADP
faba-114	134	88	comparison	comparison	NOUN
faba-114	134	89	to	to	ADP
faba-114	134	90	those	those	PRON
faba-114	134	91	with	with	ADP
faba-114	134	92	lower	low	ADJ
faba-114	134	93	education	education	NOUN
faba-114	134	94	.	.	PUNCT
faba-114	135	1	in	in	ADP
faba-114	135	2	addition	addition	NOUN
faba-114	135	3	,	,	PUNCT
faba-114	135	4	for	for	ADP
faba-114	135	5	the	the	DET
faba-114	135	6	individuals	individual	NOUN
faba-114	135	7	with	with	ADP
faba-114	135	8	a	a	DET
faba-114	135	9	low	low	ADJ
faba-114	135	10	level	level	NOUN
faba-114	135	11	of	of	ADP
faba-114	135	12	education	education	NOUN
faba-114	135	13	,	,	PUNCT
faba-114	135	14	the	the	DET
faba-114	135	15	salary	salary	NOUN
faba-114	135	16	for	for	ADP
faba-114	135	17	their	their	PRON
faba-114	135	18	work	work	NOUN
faba-114	135	19	is	be	AUX
faba-114	135	20	lowered	lower	VERB
faba-114	135	21	,	,	PUNCT
faba-114	135	22	close	close	ADJ
faba-114	135	23	to	to	ADP
faba-114	135	24	minimum	minimum	ADJ
faba-114	135	25	wage	wage	NOUN
faba-114	135	26	,	,	PUNCT
faba-114	135	27	which	which	PRON
faba-114	135	28	naturally	naturally	ADV
faba-114	135	29	leads	lead	VERB
faba-114	135	30	to	to	ADP
faba-114	135	31	a	a	DET
faba-114	135	32	lower	low	ADJ
faba-114	135	33	standard	standard	NOUN
faba-114	135	34	of	of	ADP
faba-114	135	35	living	living	NOUN
faba-114	135	36	.	.	PUNCT
faba-114	136	1	in	in	ADP
faba-114	136	2	general	general	ADJ
faba-114	136	3	,	,	PUNCT
faba-114	136	4	these	these	DET
faba-114	136	5	young	young	ADJ
faba-114	136	6	people	people	NOUN
faba-114	136	7	often	often	ADV
faba-114	136	8	become	become	VERB
faba-114	136	9	directly	directly	ADV
faba-114	136	10	dependent	dependent	ADJ
faba-114	136	11	on	on	ADP
faba-114	136	12	the	the	DET
faba-114	136	13	social	social	ADJ
faba-114	136	14	benefits	benefit	NOUN
faba-114	136	15	of	of	ADP
faba-114	136	16	the	the	DET
faba-114	136	17	social	social	ADJ
faba-114	136	18	welfare	welfare	NOUN
faba-114	136	19	system	system	NOUN
faba-114	136	20	and	and	CCONJ
faba-114	136	21	thus	thus	ADV
faba-114	136	22	fall	fall	VERB
faba-114	136	23	into	into	ADP
faba-114	136	24	another	another	DET
faba-114	136	25	group	group	NOUN
faba-114	136	26	connected	connect	VERB
faba-114	136	27	to	to	ADP
faba-114	136	28	the	the	DET
faba-114	136	29	phenomenon	phenomenon	NOUN
faba-114	136	30	known	know	VERB
faba-114	136	31	as	as	ADP
faba-114	136	32	the	the	DET
faba-114	136	33	“	"	PUNCT
faba-114	136	34	welfare	welfare	NOUN
faba-114	136	35	trap	trap	NOUN
faba-114	136	36	”	"	PUNCT
faba-114	136	37	.	.	PUNCT
faba-114	137	1	references	reference	NOUN
faba-114	137	2	1	1	NUM
faba-114	137	3	.	.	PUNCT
faba-114	138	1	eurostat	eurostat	PROPN
faba-114	138	2	,	,	PUNCT
faba-114	138	3	official	official	ADJ
faba-114	138	4	website	website	NOUN
faba-114	138	5	www.ec.europa.eu/eurostat	www.ec.europa.eu/eurostat	PROPN
faba-114	138	6	2	2	NUM
faba-114	138	7	.	.	PUNCT
faba-114	138	8	eurostat	eurostat	PROPN
faba-114	138	9	,	,	PUNCT
faba-114	138	10	statistics	statistic	NOUN
faba-114	138	11	explained	explain	VERB
faba-114	138	12	,	,	PUNCT
faba-114	138	13	long	long	ADJ
faba-114	138	14	-	-	PUNCT
faba-114	138	15	term	term	NOUN
faba-114	138	16	unemployment	unemployment	NOUN
faba-114	138	17	,	,	PUNCT
faba-114	138	18	direct	direct	ADJ
faba-114	138	19	link	link	NOUN
faba-114	138	20	:	:	PUNCT
faba-114	138	21	https://ec.europa.eu/eurostat/statistics-explained/index.php/glossary:longterm_unemployment	https://ec.europa.eu/eurostat/statistics-explained/index.php/glossary:longterm_unemployment	NOUN
faba-114	138	22	3	3	NUM
faba-114	138	23	.	.	PUNCT
faba-114	139	1	gregg	gregg	NOUN
faba-114	139	2	,	,	PUNCT
faba-114	139	3	p.	p.	NOUN
faba-114	139	4	and	and	CCONJ
faba-114	139	5	tominey	tominey	PROPN
faba-114	139	6	,	,	PUNCT
faba-114	139	7	e.	e.	PROPN
faba-114	139	8	(	(	PUNCT
faba-114	139	9	2007	2007	NUM
faba-114	139	10	)	)	PUNCT
faba-114	139	11	.	.	PUNCT
faba-114	140	1	the	the	DET
faba-114	140	2	wage	wage	NOUN
faba-114	140	3	scar	scar	NOUN
faba-114	140	4	from	from	ADP
faba-114	140	5	youth	youth	NOUN
faba-114	140	6	unemployment	unemployment	NOUN
faba-114	140	7	,	,	PUNCT
faba-114	140	8	elsevier	elsevier	PROPN
faba-114	140	9	,	,	PUNCT
faba-114	140	10	netherlands	netherlands	PROPN
faba-114	140	11	,	,	PUNCT
faba-114	140	12	2005	2005	NUM
faba-114	140	13	,	,	PUNCT
faba-114	140	14	p.	p.	NOUN
faba-114	140	15	487	487	NUM
faba-114	140	16	-	-	SYM
faba-114	140	17	509	509	NUM
faba-114	140	18	,	,	PUNCT
faba-114	140	19	the	the	DET
faba-114	140	20	prince	prince	NOUN
faba-114	140	21	’s	’s	PART
faba-114	140	22	trust	trust	PROPN
faba-114	140	23	,	,	PUNCT
faba-114	140	24	the	the	DET
faba-114	140	25	cost	cost	NOUN
faba-114	140	26	of	of	ADP
faba-114	140	27	exclusion	exclusion	NOUN
faba-114	140	28	.	.	PUNCT
faba-114	141	1	counting	count	VERB
faba-114	141	2	the	the	DET
faba-114	141	3	cost	cost	NOUN
faba-114	141	4	of	of	ADP
faba-114	141	5	youth	youth	NOUN
faba-114	141	6	disadvantage	disadvantage	NOUN
faba-114	141	7	in	in	ADP
faba-114	141	8	the	the	DET
faba-114	141	9	uk	uk	PROPN
faba-114	141	10	,	,	PUNCT
faba-114	141	11	london	london	PROPN
faba-114	141	12	4	4	NUM
faba-114	141	13	.	.	PUNCT
faba-114	142	1	henehan	henehan	PROPN
faba-114	142	2	,	,	PUNCT
faba-114	142	3	k.	k.	PROPN
faba-114	142	4	(	(	PUNCT
faba-114	142	5	2021	2021	NUM
faba-114	142	6	)	)	PUNCT
faba-114	142	7	.	.	PUNCT
faba-114	143	1	resolution	resolution	NOUN
faba-114	143	2	fondation	fondation	PROPN
faba-114	143	3	,	,	PUNCT
faba-114	143	4	changes	change	NOUN
faba-114	143	5	in	in	ADP
faba-114	143	6	youth	youth	NOUN
faba-114	143	7	unemployment	unemployment	NOUN
faba-114	143	8	and	and	CCONJ
faba-114	143	9	study	study	NOUN
faba-114	143	10	since	since	SCONJ
faba-114	143	11	the	the	DET
faba-114	143	12	onset	onset	NOUN
faba-114	143	13	of	of	ADP
faba-114	143	14	covid-19	covid-19	PROPN
faba-114	143	15	:	:	PUNCT
faba-114	143	16	https://www.resolutionfoundation.org/app/uploads/2021/04/unevensteps.pdf	https://www.resolutionfoundation.org/app/uploads/2021/04/unevensteps.pdf	NOUN
faba-114	143	17	5	5	NUM
faba-114	143	18	.	.	PUNCT
faba-114	144	1	henehan	henehan	PROPN
faba-114	144	2	,	,	PUNCT
faba-114	144	3	к	к	X
faba-114	144	4	.	.	PUNCT
faba-114	144	5	(	(	PUNCT
faba-114	144	6	2021	2021	NUM
faba-114	144	7	)	)	PUNCT
faba-114	144	8	.	.	PUNCT
faba-114	145	1	uneven	uneven	ADJ
faba-114	145	2	steps	step	NOUN
faba-114	145	3	:	:	PUNCT
faba-114	145	4	changes	change	NOUN
faba-114	145	5	in	in	ADP
faba-114	145	6	youth	youth	NOUN
faba-114	145	7	unemployment	unemployment	NOUN
faba-114	145	8	and	and	CCONJ
faba-114	145	9	study	study	NOUN
faba-114	145	10	since	since	SCONJ
faba-114	145	11	the	the	DET
faba-114	145	12	onset	onset	NOUN
faba-114	145	13	of	of	ADP
faba-114	145	14	covid-19	covid-19	PROPN
faba-114	145	15	,	,	PUNCT
faba-114	145	16	6	6	NUM
faba-114	145	17	.	.	PUNCT
faba-114	145	18	katris	katris	PROPN
faba-114	145	19	,	,	PUNCT
faba-114	145	20	к	к	X
faba-114	145	21	.	.	PUNCT
faba-114	145	22	(	(	PUNCT
faba-114	145	23	2021	2021	NUM
faba-114	145	24	)	)	PUNCT
faba-114	145	25	.	.	PUNCT
faba-114	146	1	unemployment	unemployment	NOUN
faba-114	146	2	and	and	CCONJ
faba-114	146	3	covid-19	covid-19	PROPN
faba-114	146	4	impact	impact	NOUN
faba-114	146	5	in	in	ADP
faba-114	146	6	greece	greece	PROPN
faba-114	146	7	:	:	PUNCT
faba-114	146	8	a	a	DET
faba-114	146	9	vector	vector	NOUN
faba-114	146	10	autoregression	autoregression	NOUN
faba-114	146	11	(	(	PUNCT
faba-114	146	12	var	var	NOUN
faba-114	146	13	)	)	PUNCT
faba-114	146	14	data	datum	NOUN
faba-114	146	15	analysis	analysis	NOUN
faba-114	146	16	,	,	PUNCT
faba-114	146	17	engineering	engineering	NOUN
faba-114	146	18	proceeding	proceeding	NOUN
faba-114	146	19	,	,	PUNCT
faba-114	146	20	vol	vol	NOUN
faba-114	146	21	.	.	PROPN
faba-114	146	22	5	5	NUM
faba-114	146	23	(	(	PUNCT
faba-114	146	24	41	41	NUM
faba-114	146	25	)	)	PUNCT
faba-114	146	26	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
faba-114	146	27	engproc2021005041	engproc2021005041	NOUN
faba-114	146	28	7	7	NUM
faba-114	146	29	.	.	PUNCT
faba-114	146	30	mishev	mishev	PROPN
faba-114	146	31	,	,	PUNCT
faba-114	146	32	g.	g.	PROPN
faba-114	146	33	,	,	PUNCT
faba-114	146	34	goev	goev	NOUN
faba-114	146	35	,	,	PUNCT
faba-114	146	36	v.	v.	PROPN
faba-114	146	37	(	(	PUNCT
faba-114	146	38	2010	2010	NUM
faba-114	146	39	)	)	PUNCT
faba-114	146	40	statistical	statistical	ADJ
faba-114	146	41	analysis	analysis	NOUN
faba-114	146	42	of	of	ADP
faba-114	146	43	time	time	NOUN
faba-114	146	44	series	series	NOUN
faba-114	146	45	,	,	PUNCT
faba-114	146	46	avangard	avangard	NOUN
faba-114	146	47	prima	prima	NOUN
faba-114	146	48	,	,	PUNCT
faba-114	146	49	sofia	sofia	NOUN
faba-114	146	50	8	8	NUM
faba-114	146	51	.	.	PUNCT
faba-114	147	1	nsi	nsi	NOUN
faba-114	147	2	,	,	PUNCT
faba-114	147	3	demographic	demographic	ADJ
faba-114	147	4	and	and	CCONJ
faba-114	147	5	social	social	ADJ
faba-114	147	6	statistics	statistic	NOUN
faba-114	147	7	,	,	PUNCT
faba-114	147	8	population	population	NOUN
faba-114	147	9	and	and	CCONJ
faba-114	147	10	demographic	demographic	ADJ
faba-114	147	11	data	datum	NOUN
faba-114	147	12	,	,	PUNCT
faba-114	147	13	official	official	ADJ
faba-114	147	14	website	website	NOUN
faba-114	147	15	www.nsi.bg	www.nsi.bg	PROPN
faba-114	147	16	9	9	NUM
faba-114	147	17	.	.	X
faba-114	147	18	nsi	nsi	PROPN
faba-114	147	19	,	,	PUNCT
faba-114	147	20	labor	labor	NOUN
faba-114	147	21	force	force	PROPN
faba-114	147	22	survey	survey	NOUN
faba-114	147	23	methodology	methodology	NOUN
faba-114	147	24	,	,	PUNCT
faba-114	147	25	official	official	ADJ
faba-114	147	26	website	website	NOUN
faba-114	147	27	www.nsi.bg	www.nsi.bg	PROPN
faba-114	147	28	10	10	NUM
faba-114	147	29	.	.	PUNCT
faba-114	148	1	pavlov	pavlov	PROPN
faba-114	148	2	,	,	PUNCT
faba-114	148	3	n.	n.	PROPN
faba-114	148	4	(	(	PUNCT
faba-114	148	5	2008	2008	NUM
faba-114	148	6	)	)	PUNCT
faba-114	148	7	.	.	PUNCT
faba-114	149	1	labor	labor	NOUN
faba-114	149	2	standards	standard	NOUN
faba-114	149	3	and	and	CCONJ
faba-114	149	4	unemployment	unemployment	NOUN
faba-114	149	5	,	,	PUNCT
faba-114	149	6	faber	faber	PROPN
faba-114	149	7	,	,	PUNCT
faba-114	149	8	sofia	sofia	PROPN
faba-114	149	9	,	,	PUNCT
faba-114	149	10	p.	p.	NOUN
faba-114	149	11	59	59	NUM
faba-114	149	12	11	11	NUM
faba-114	149	13	.	.	PUNCT
faba-114	150	1	ryan	ryan	PROPN
faba-114	150	2	,	,	PUNCT
faba-114	150	3	p.	p.	NOUN
faba-114	150	4	(	(	PUNCT
faba-114	150	5	2001	2001	NUM
faba-114	150	6	)	)	PUNCT
faba-114	150	7	.	.	PUNCT
faba-114	151	1	the	the	DET
faba-114	151	2	school	school	NOUN
faba-114	151	3	-	-	PUNCT
faba-114	151	4	to	to	ADP
faba-114	151	5	-	-	PUNCT
faba-114	151	6	work	work	NOUN
faba-114	151	7	transition	transition	NOUN
faba-114	151	8	:	:	PUNCT
faba-114	151	9	a	a	DET
faba-114	151	10	cross	cross	ADJ
faba-114	151	11	-	-	ADJ
faba-114	151	12	national	national	ADJ
faba-114	151	13	perspective	perspective	NOUN
faba-114	151	14	.	.	PUNCT
faba-114	152	1	journal	journal	NOUN
faba-114	152	2	of	of	ADP
faba-114	152	3	economic	economic	ADJ
faba-114	152	4	literature	literature	NOUN
faba-114	152	5	,	,	PUNCT
faba-114	152	6	39	39	NUM
faba-114	152	7	,	,	PUNCT
faba-114	152	8	pp	pp	ADJ
faba-114	152	9	.	.	PUNCT
faba-114	153	1	34–92	34–92	NUM
faba-114	153	2	12	12	NUM
faba-114	153	3	.	.	PUNCT
faba-114	154	1	the	the	DET
faba-114	154	2	employment	employment	NOUN
faba-114	154	3	agency	agency	NOUN
faba-114	154	4	,	,	PUNCT
faba-114	154	5	official	official	ADJ
faba-114	154	6	website	website	NOUN
faba-114	154	7	www.az.government.bg	www.az.government.bg	PROPN
faba-114	154	8	http://www.ec.europa.eu/eurostat	http://www.ec.europa.eu/eurostat	PROPN
faba-114	154	9	https://ec.europa.eu/eurostat/statistics-explained/index.php/glossary:long-term_unemployment	https://ec.europa.eu/eurostat/statistics-explained/index.php/glossary:long-term_unemployment	NOUN
faba-114	155	1	https://ec.europa.eu/eurostat/statistics-explained/index.php/glossary:long-term_unemployment	https://ec.europa.eu/eurostat/statistics-explained/index.php/glossary:long-term_unemployment	NOUN
faba-114	155	2	https://www.resolutionfoundation.org/app/uploads/2021/04/uneven-steps.pdf	https://www.resolutionfoundation.org/app/uploads/2021/04/uneven-steps.pdf	PROPN
faba-114	155	3	https://www.resolutionfoundation.org/app/uploads/2021/04/uneven-steps.pdf	https://www.resolutionfoundation.org/app/uploads/2021/04/uneven-steps.pdf	PROPN
faba-114	155	4	http://www.nsi.bg/	http://www.nsi.bg/	NOUN
faba-114	155	5	http://www.nsi.bg/	http://www.nsi.bg/	NOUN
faba-114	155	6	http://www.az.government.bg/	http://www.az.government.bg/	X