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Asymptotic distribution of factor augmented estimators for panel regression

Authors
Greenaway-McGrevy, RyanHan, ChirokSul, Donggyu
Issue Date
7월-2012
Publisher
ELSEVIER SCIENCE SA
Keywords
Factor augmented panel regression; Factor augmented estimator; Principal component augmented estimator; Cross section dependence; Interactive fixed effects
Citation
JOURNAL OF ECONOMETRICS, v.169, no.1, pp.48 - 53
Indexed
SCIE
SSCI
SCOPUS
Journal Title
JOURNAL OF ECONOMETRICS
Volume
169
Number
1
Start Page
48
End Page
53
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/108078
DOI
10.1016/j.jeconom.2012.01.003
ISSN
0304-4076
Abstract
In this paper we derive an asymptotic theory for linear panel regression augmented with estimated common factors. We give conditions under which the estimated factors can be used in place of the latent factors in the regression equation. For the principal components estimate of the factor space it is shown that these conditions are satisfied when T/N -> 0 and N/T-3 -> 0 under regularity. Monte Carlo studies verify the asymptotic theory. Published by Elsevier B.V.
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