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Testing Factors in CCE

Brown, Nicholas and Westerlund, Joakim LU (2023) In Economics Letters 230.
Abstract
One of the most popular estimators of interactive effects panel data models is the common correlated effects (CCE) approach, which uses the cross-sectional averages of the observables to estimate the unobserved factors. The present paper proposes a simple test statistic that is suitable for testing hypotheses about these factors. The statistic can be used to test if a subset of the averages is enough to estimate the factors, or if there are observable variables that capture them. The statistic can also be used sequentially to determine the smallest set of averages needed to estimate the factors.
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Economics Letters
volume
230
article number
111245
publisher
Elsevier
external identifiers
  • scopus:85165138178
ISSN
0165-1765
DOI
10.1016/j.econlet.2023.111245
language
English
LU publication?
yes
id
cfafbbc8-de33-45e9-982f-778da7d8d8bd
date added to LUP
2023-07-31 17:38:48
date last changed
2023-09-05 14:11:55
@article{cfafbbc8-de33-45e9-982f-778da7d8d8bd,
  abstract     = {{One of the most popular estimators of interactive effects panel data models is the common correlated effects (CCE) approach, which uses the cross-sectional averages of the observables to estimate the unobserved factors. The present paper proposes a simple test statistic that is suitable for testing hypotheses about these factors. The statistic can be used to test if a subset of the averages is enough to estimate the factors, or if there are observable variables that capture them. The statistic can also be used sequentially to determine the smallest set of averages needed to estimate the factors.}},
  author       = {{Brown, Nicholas and Westerlund, Joakim}},
  issn         = {{0165-1765}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Economics Letters}},
  title        = {{Testing Factors in CCE}},
  url          = {{http://dx.doi.org/10.1016/j.econlet.2023.111245}},
  doi          = {{10.1016/j.econlet.2023.111245}},
  volume       = {{230}},
  year         = {{2023}},
}