Some Strange Properties of Panel Data Estimators
Donald Robertson and
J Symons
Journal of Applied Econometrics, 1992, vol. 7, issue 2, 175-89
Abstract:
The authors study the biases that are likely to arise in practice with panel data when parameters vary across individuals, but this is not allowed for in estimation. They consider both stationary and non-stationary regressors. They find that biases can be severe for relatively small parameter variation, and that this problem is hard to detect. They study in some detail by Monte-Carlo the performance of the T. Anderson-C. Hsiao estimator in the presence of this particular mis-specification. Copyright 1992 by John Wiley & Sons, Ltd.
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (106)
Downloads: (external link)
http://links.jstor.org/sici?sici=0883-7252%2819920 ... 0.CO%3B2-L&origin=bc full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
Related works:
Working Paper: Some Strange Properties of Panel Data Estimators (1991)
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:jae:japmet:v:7:y:1992:i:2:p:175-89
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().