id	sid	tid	token	lemma	pos
tm70ms3912v	1	1	ridge	ridge	PROPN
tm70ms3912v	1	2	generalized	generalize	VERB
tm70ms3912v	1	3	least	least	ADJ
tm70ms3912v	1	4	squares	square	NOUN
tm70ms3912v	1	5	(	(	PUNCT
tm70ms3912v	1	6	rgls	rgls	PROPN
tm70ms3912v	1	7	)	)	PUNCT
tm70ms3912v	1	8	is	be	AUX
tm70ms3912v	1	9	a	a	DET
tm70ms3912v	1	10	recently	recently	ADV
tm70ms3912v	1	11	proposed	propose	VERB
tm70ms3912v	1	12	estimation	estimation	NOUN
tm70ms3912v	1	13	procedure	procedure	NOUN
tm70ms3912v	1	14	for	for	ADP
tm70ms3912v	1	15	structural	structural	ADJ
tm70ms3912v	1	16	equation	equation	NOUN
tm70ms3912v	1	17	modeling	modeling	NOUN
tm70ms3912v	1	18	(	(	PUNCT
tm70ms3912v	1	19	sem	sem	PROPN
tm70ms3912v	1	20	)	)	PUNCT
tm70ms3912v	1	21	.	.	PUNCT
tm70ms3912v	2	1	the	the	DET
tm70ms3912v	2	2	weight	weight	NOUN
tm70ms3912v	2	3	matrix	matrix	NOUN
tm70ms3912v	2	4	for	for	ADP
tm70ms3912v	2	5	rgls	rgls	NOUN
tm70ms3912v	2	6	is	be	AUX
tm70ms3912v	2	7	obtained	obtain	VERB
tm70ms3912v	2	8	by	by	ADP
tm70ms3912v	2	9	combining	combine	VERB
tm70ms3912v	2	10	the	the	DET
tm70ms3912v	2	11	sample	sample	NOUN
tm70ms3912v	2	12	fourth	fourth	ADJ
tm70ms3912v	2	13	-	-	PUNCT
tm70ms3912v	2	14	order	order	NOUN
tm70ms3912v	2	15	moment	moment	NOUN
tm70ms3912v	2	16	matrix	matrix	NOUN
tm70ms3912v	2	17	with	with	ADP
tm70ms3912v	2	18	the	the	DET
tm70ms3912v	2	19	identity	identity	NOUN
tm70ms3912v	2	20	matrix	matrix	NOUN
tm70ms3912v	2	21	,	,	PUNCT
tm70ms3912v	2	22	and	and	CCONJ
tm70ms3912v	2	23	the	the	DET
tm70ms3912v	2	24	relative	relative	ADJ
tm70ms3912v	2	25	contribution	contribution	NOUN
tm70ms3912v	2	26	of	of	ADP
tm70ms3912v	2	27	each	each	DET
tm70ms3912v	2	28	matrix	matrix	NOUN
tm70ms3912v	2	29	is	be	AUX
tm70ms3912v	2	30	determined	determine	VERB
tm70ms3912v	2	31	by	by	ADP
tm70ms3912v	2	32	a	a	DET
tm70ms3912v	2	33	ridge	ridge	NOUN
tm70ms3912v	2	34	tuning	tune	VERB
tm70ms3912v	2	35	parameter	parameter	NOUN
tm70ms3912v	2	36	.	.	PUNCT
tm70ms3912v	3	1	empirical	empirical	ADJ
tm70ms3912v	3	2	results	result	NOUN
tm70ms3912v	3	3	showed	show	VERB
tm70ms3912v	3	4	that	that	SCONJ
tm70ms3912v	3	5	,	,	PUNCT
tm70ms3912v	3	6	with	with	ADP
tm70ms3912v	3	7	nonnormally	nonnormally	ADV
tm70ms3912v	3	8	distributed	distribute	VERB
tm70ms3912v	3	9	data	datum	NOUN
tm70ms3912v	3	10	,	,	PUNCT
tm70ms3912v	3	11	parameter	parameter	NOUN
tm70ms3912v	3	12	estimates	estimate	NOUN
tm70ms3912v	3	13	by	by	ADP
tm70ms3912v	3	14	rgls	rgl	NOUN
tm70ms3912v	3	15	can	can	AUX
tm70ms3912v	3	16	be	be	AUX
tm70ms3912v	3	17	much	much	ADV
tm70ms3912v	3	18	more	more	ADV
tm70ms3912v	3	19	accurate	accurate	ADJ
tm70ms3912v	3	20	than	than	ADP
tm70ms3912v	3	21	those	those	PRON
tm70ms3912v	3	22	by	by	ADP
tm70ms3912v	3	23	the	the	DET
tm70ms3912v	3	24	traditional	traditional	ADJ
tm70ms3912v	3	25	methods	method	NOUN
tm70ms3912v	3	26	.	.	PUNCT
tm70ms3912v	4	1	however	however	ADV
tm70ms3912v	4	2	,	,	PUNCT
tm70ms3912v	4	3	test	test	NOUN
tm70ms3912v	4	4	statistics	statistic	NOUN
tm70ms3912v	4	5	following	follow	VERB
tm70ms3912v	4	6	rgls	rgl	NOUN
tm70ms3912v	4	7	are	be	AUX
tm70ms3912v	4	8	still	still	ADV
tm70ms3912v	4	9	unable	unable	ADJ
tm70ms3912v	4	10	to	to	PART
tm70ms3912v	4	11	control	control	VERB
tm70ms3912v	4	12	type	type	NOUN
tm70ms3912v	4	13	i	i	PRON
tm70ms3912v	4	14	errors	error	VERB
tm70ms3912v	4	15	well	well	ADV
tm70ms3912v	4	16	,	,	PUNCT
tm70ms3912v	4	17	especially	especially	ADV
tm70ms3912v	4	18	when	when	SCONJ
tm70ms3912v	4	19	the	the	DET
tm70ms3912v	4	20	sample	sample	NOUN
tm70ms3912v	4	21	size	size	NOUN
tm70ms3912v	4	22	is	be	AUX
tm70ms3912v	4	23	small	small	ADJ
tm70ms3912v	4	24	.	.	PUNCT
tm70ms3912v	5	1	this	this	DET
tm70ms3912v	5	2	dissertation	dissertation	NOUN
tm70ms3912v	5	3	proposes	propose	VERB
tm70ms3912v	5	4	to	to	PART
tm70ms3912v	5	5	optimize	optimize	VERB
tm70ms3912v	5	6	the	the	DET
tm70ms3912v	5	7	rgls	rgls	NOUN
tm70ms3912v	5	8	procedure	procedure	NOUN
tm70ms3912v	5	9	in	in	ADP
tm70ms3912v	5	10	three	three	NUM
tm70ms3912v	5	11	directions	direction	NOUN
tm70ms3912v	5	12	.	.	PUNCT
tm70ms3912v	6	1	first	first	ADJ
tm70ms3912v	6	2	,	,	PUNCT
tm70ms3912v	6	3	formulas	formula	NOUN
tm70ms3912v	6	4	are	be	AUX
tm70ms3912v	6	5	developed	develop	VERB
tm70ms3912v	6	6	for	for	ADP
tm70ms3912v	6	7	the	the	DET
tm70ms3912v	6	8	ridge	ridge	PROPN
tm70ms3912v	6	9	tuning	tune	VERB
tm70ms3912v	6	10	parameter	parameter	NOUN
tm70ms3912v	6	11	to	to	PART
tm70ms3912v	6	12	yield	yield	VERB
tm70ms3912v	6	13	the	the	DET
tm70ms3912v	6	14	most	most	ADV
tm70ms3912v	6	15	efficient	efficient	ADJ
tm70ms3912v	6	16	parameter	parameter	NOUN
tm70ms3912v	6	17	estimates	estimate	NOUN
tm70ms3912v	6	18	in	in	ADP
tm70ms3912v	6	19	practice	practice	NOUN
tm70ms3912v	6	20	.	.	PUNCT
tm70ms3912v	7	1	second	second	ADJ
tm70ms3912v	7	2	,	,	PUNCT
tm70ms3912v	7	3	corrections	correction	NOUN
tm70ms3912v	7	4	are	be	AUX
tm70ms3912v	7	5	developed	develop	VERB
tm70ms3912v	7	6	for	for	ADP
tm70ms3912v	7	7	the	the	DET
tm70ms3912v	7	8	test	test	NOUN
tm70ms3912v	7	9	statistics	statistic	NOUN
tm70ms3912v	7	10	following	follow	VERB
tm70ms3912v	7	11	rgls	rgl	NOUN
tm70ms3912v	7	12	to	to	PART
tm70ms3912v	7	13	yield	yield	VERB
tm70ms3912v	7	14	well	well	ADV
tm70ms3912v	7	15	-	-	PUNCT
tm70ms3912v	7	16	controlled	control	VERB
tm70ms3912v	7	17	type	type	NOUN
tm70ms3912v	7	18	i	i	PRON
tm70ms3912v	7	19	errors	error	NOUN
tm70ms3912v	7	20	.	.	PUNCT
tm70ms3912v	8	1	third	third	ADJ
tm70ms3912v	8	2	,	,	PUNCT
tm70ms3912v	8	3	corrected	correct	VERB
tm70ms3912v	8	4	formulas	formula	NOUN
tm70ms3912v	8	5	are	be	AUX
tm70ms3912v	8	6	developed	develop	VERB
tm70ms3912v	8	7	for	for	ADP
tm70ms3912v	8	8	the	the	DET
tm70ms3912v	8	9	standard	standard	ADJ
tm70ms3912v	8	10	errors	error	NOUN
tm70ms3912v	8	11	of	of	ADP
tm70ms3912v	8	12	rgls	rgl	NOUN
tm70ms3912v	8	13	estimates	estimate	VERB
tm70ms3912v	8	14	to	to	PART
tm70ms3912v	8	15	be	be	AUX
tm70ms3912v	8	16	more	more	ADV
tm70ms3912v	8	17	accurate	accurate	ADJ
tm70ms3912v	8	18	.	.	PUNCT
tm70ms3912v	9	1	for	for	SCONJ
tm70ms3912v	9	2	the	the	DET
tm70ms3912v	9	3	formulas	formula	NOUN
tm70ms3912v	9	4	and	and	CCONJ
tm70ms3912v	9	5	corrections	correction	NOUN
tm70ms3912v	9	6	to	to	PART
tm70ms3912v	9	7	have	have	VERB
tm70ms3912v	9	8	a	a	DET
tm70ms3912v	9	9	wide	wide	ADJ
tm70ms3912v	9	10	scope	scope	NOUN
tm70ms3912v	9	11	of	of	ADP
tm70ms3912v	9	12	applicability	applicability	NOUN
tm70ms3912v	9	13	,	,	PUNCT
tm70ms3912v	9	14	they	they	PRON
tm70ms3912v	9	15	are	be	AUX
tm70ms3912v	9	16	calibrated	calibrate	VERB
tm70ms3912v	9	17	using	use	VERB
tm70ms3912v	9	18	monte	monte	PROPN
tm70ms3912v	9	19	carlo	carlo	PROPN
tm70ms3912v	9	20	simulation	simulation	PROPN
tm70ms3912v	9	21	with	with	ADP
tm70ms3912v	9	22	many	many	ADJ
tm70ms3912v	9	23	conditions	condition	NOUN
tm70ms3912v	9	24	on	on	ADP
tm70ms3912v	9	25	population	population	NOUN
tm70ms3912v	9	26	distribution	distribution	NOUN
tm70ms3912v	9	27	,	,	PUNCT
tm70ms3912v	9	28	sample	sample	NOUN
tm70ms3912v	9	29	size	size	NOUN
tm70ms3912v	9	30	,	,	PUNCT
tm70ms3912v	9	31	number	number	NOUN
tm70ms3912v	9	32	of	of	ADP
tm70ms3912v	9	33	variables	variable	NOUN
tm70ms3912v	9	34	and	and	CCONJ
tm70ms3912v	9	35	model	model	NOUN
tm70ms3912v	9	36	structure	structure	NOUN
tm70ms3912v	9	37	.	.	PUNCT
tm70ms3912v	10	1	the	the	DET
tm70ms3912v	10	2	validity	validity	NOUN
tm70ms3912v	10	3	of	of	ADP
tm70ms3912v	10	4	the	the	DET
tm70ms3912v	10	5	formulas	formula	NOUN
tm70ms3912v	10	6	and	and	CCONJ
tm70ms3912v	10	7	corrections	correction	NOUN
tm70ms3912v	10	8	are	be	AUX
tm70ms3912v	10	9	examined	examine	VERB
tm70ms3912v	10	10	via	via	ADP
tm70ms3912v	10	11	an	an	DET
tm70ms3912v	10	12	independent	independent	ADJ
tm70ms3912v	10	13	simulation	simulation	NOUN
tm70ms3912v	10	14	study	study	NOUN
tm70ms3912v	10	15	.	.	PUNCT