id	sid	tid	token	lemma	pos
m039k358k4s	1	1	this	this	DET
m039k358k4s	1	2	master	master	NOUN
m039k358k4s	1	3	thesis	thesis	NOUN
m039k358k4s	1	4	is	be	AUX
m039k358k4s	1	5	concerned	concern	VERB
m039k358k4s	1	6	with	with	ADP
m039k358k4s	1	7	the	the	DET
m039k358k4s	1	8	finite	finite	ADJ
m039k358k4s	1	9	sample	sample	NOUN
m039k358k4s	1	10	properties	property	NOUN
m039k358k4s	1	11	of	of	ADP
m039k358k4s	1	12	four	four	NUM
m039k358k4s	1	13	standard	standard	ADJ
m039k358k4s	1	14	error	error	NOUN
m039k358k4s	1	15	(	(	PUNCT
m039k358k4s	1	16	se	se	X
m039k358k4s	1	17	)	)	PUNCT
m039k358k4s	1	18	estimators	estimator	NOUN
m039k358k4s	1	19	for	for	ADP
m039k358k4s	1	20	dynamic	dynamic	ADJ
m039k358k4s	1	21	factor	factor	NOUN
m039k358k4s	1	22	analysis	analysis	NOUN
m039k358k4s	1	23	using	use	VERB
m039k358k4s	1	24	the	the	DET
m039k358k4s	1	25	kalman	kalman	NOUN
m039k358k4s	1	26	filter	filter	NOUN
m039k358k4s	1	27	algorithm	algorithm	NOUN
m039k358k4s	1	28	with	with	ADP
m039k358k4s	1	29	both	both	CCONJ
m039k358k4s	1	30	normal	normal	ADJ
m039k358k4s	1	31	and	and	CCONJ
m039k358k4s	1	32	nonnormal	nonnormal	ADJ
m039k358k4s	1	33	data	datum	NOUN
m039k358k4s	1	34	.	.	PUNCT
m039k358k4s	2	1	the	the	DET
m039k358k4s	2	2	estimators	estimator	NOUN
m039k358k4s	2	3	considered	consider	VERB
m039k358k4s	2	4	are	be	AUX
m039k358k4s	2	5	the	the	DET
m039k358k4s	2	6	observed	observe	VERB
m039k358k4s	2	7	information	information	NOUN
m039k358k4s	2	8	based	base	VERB
m039k358k4s	2	9	se	se	PROPN
m039k358k4s	2	10	estimator	estimator	NOUN
m039k358k4s	2	11	,	,	PUNCT
m039k358k4s	2	12	harvey	harvey	PROPN
m039k358k4s	2	13	's	's	PART
m039k358k4s	2	14	se	se	PROPN
m039k358k4s	2	15	estimator	estimator	NOUN
m039k358k4s	2	16	,	,	PUNCT
m039k358k4s	2	17	and	and	CCONJ
m039k358k4s	2	18	the	the	DET
m039k358k4s	2	19	two	two	NUM
m039k358k4s	2	20	sandwich	sandwich	NOUN
m039k358k4s	2	21	type	type	NOUN
m039k358k4s	2	22	se	se	PROPN
m039k358k4s	2	23	estimators	estimator	NOUN
m039k358k4s	2	24	.	.	PUNCT
m039k358k4s	3	1	statistical	statistical	ADJ
m039k358k4s	3	2	properties	property	NOUN
m039k358k4s	3	3	of	of	ADP
m039k358k4s	3	4	these	these	DET
m039k358k4s	3	5	estimators	estimator	NOUN
m039k358k4s	3	6	are	be	AUX
m039k358k4s	3	7	assessed	assess	VERB
m039k358k4s	3	8	using	use	VERB
m039k358k4s	3	9	a	a	DET
m039k358k4s	3	10	simulation	simulation	NOUN
m039k358k4s	3	11	study	study	NOUN
m039k358k4s	3	12	.	.	PUNCT
m039k358k4s	4	1	results	result	NOUN
m039k358k4s	4	2	indicate	indicate	VERB
m039k358k4s	4	3	that	that	SCONJ
m039k358k4s	4	4	the	the	DET
m039k358k4s	4	5	sandwich	sandwich	NOUN
m039k358k4s	4	6	type	type	PROPN
m039k358k4s	4	7	se	se	PROPN
m039k358k4s	4	8	estimator	estimator	NOUN
m039k358k4s	4	9	proposed	propose	VERB
m039k358k4s	4	10	by	by	ADP
m039k358k4s	4	11	papanastassiou	papanastassiou	NOUN
m039k358k4s	4	12	(	(	PUNCT
m039k358k4s	4	13	2006	2006	NUM
m039k358k4s	4	14	)	)	PUNCT
m039k358k4s	4	15	generally	generally	ADV
m039k358k4s	4	16	outperforms	outperform	VERB
m039k358k4s	4	17	other	other	ADJ
m039k358k4s	4	18	se	se	X
m039k358k4s	4	19	estimators	estimator	NOUN
m039k358k4s	4	20	.	.	PUNCT
m039k358k4s	5	1	however	however	ADV
m039k358k4s	5	2	,	,	PUNCT
m039k358k4s	5	3	the	the	DET
m039k358k4s	5	4	observed	observed	ADJ
m039k358k4s	5	5	information	information	NOUN
m039k358k4s	5	6	se	se	PROPN
m039k358k4s	5	7	estimator	estimator	NOUN
m039k358k4s	5	8	is	be	AUX
m039k358k4s	5	9	still	still	ADV
m039k358k4s	5	10	valuable	valuable	ADJ
m039k358k4s	5	11	in	in	ADP
m039k358k4s	5	12	that	that	SCONJ
m039k358k4s	5	13	the	the	DET
m039k358k4s	5	14	advantage	advantage	NOUN
m039k358k4s	5	15	of	of	ADP
m039k358k4s	5	16	the	the	DET
m039k358k4s	5	17	sandwich	sandwich	NOUN
m039k358k4s	5	18	type	type	PROPN
m039k358k4s	5	19	se	se	PROPN
m039k358k4s	5	20	estimator	estimator	NOUN
m039k358k4s	5	21	proposed	propose	VERB
m039k358k4s	5	22	by	by	ADP
m039k358k4s	5	23	papanastassiou	papanastassiou	NOUN
m039k358k4s	5	24	(	(	PUNCT
m039k358k4s	5	25	2006	2006	NUM
m039k358k4s	5	26	)	)	PUNCT
m039k358k4s	5	27	over	over	ADP
m039k358k4s	5	28	the	the	DET
m039k358k4s	5	29	observed	observe	VERB
m039k358k4s	5	30	information	information	NOUN
m039k358k4s	5	31	se	se	X
m039k358k4s	5	32	estimator	estimator	NOUN
m039k358k4s	5	33	for	for	ADP
m039k358k4s	5	34	non	non	ADJ
m039k358k4s	5	35	-	-	ADJ
m039k358k4s	5	36	covariance	covariance	ADJ
m039k358k4s	5	37	component	component	NOUN
m039k358k4s	5	38	parameters	parameter	NOUN
m039k358k4s	5	39	is	be	AUX
m039k358k4s	5	40	limited	limited	ADJ
m039k358k4s	5	41	.	.	PUNCT