Abstract
In spite of the increased use of factor-augmented regressions in recent years, little is known regarding the relative merits of the two main approaches to estimation and inference, namely, the cross-sectional average and principal component estimators. By providing a formal comparison of the approaches, the current paper fills this gap in the literature.
Original language | English |
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Pages (from-to) | 372-377 |
Number of pages | 6 |
Journal | Journal of Econometrics |
Volume | 185 |
Issue number | 2 |
Early online date | 18 Nov 2014 |
DOIs | |
Publication status | Published - Apr 2015 |
Keywords
- Factor-augmented panel regressions
- Common factor models
- Principal components
- Cross-section averages
- Cross-section dependence
- MODELS
- PANELS