Cross-sectional averages versus principal components
Joakim Westerlund and
Jean-Pierre Urbain
Journal of Econometrics, 2015, vol. 185, issue 2, 372-377
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.
Keywords: Factor-augmented panel regressions; Common factor models; Principal components; Cross-section averages; Cross-section dependence (search for similar items in EconPapers)
JEL-codes: C12 C13 C33 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (80)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407614002784
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:185:y:2015:i:2:p:372-377
DOI: 10.1016/j.jeconom.2014.09.014
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().