Which panel data estimator should I use?
AbstractThis study employs Monte Carlo experiments to evaluate the performances of a number of common panel data estimators when serial correlation and cross-sectional dependence are both present. It focuses on fixed effects models with less than 100 cross-sectional units and between 10 and 25 time periods (such as are commonly employed in empirical growth studies). Estimator performance is compared on two dimensions: (i) root mean square error and (ii) accuracy of estimated confidence intervals. An innovation of our study is that our simulated panel data sets are designed to look like 'real-world' panel data. We find large differences in the performances of the respective estimators. Further, estimators that perform well on efficiency grounds may perform poorly when estimating confidence intervals and vice versa. Our experimental results form the basis for a set of estimator recommendations. These are applied to 'out of sample' simulated panel data sets and found to perform well.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 43 (2009)
Issue (Month): 8 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEC20
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Reed, W. Robert & Webb, Rachel S., 2010.
"Estimating standard errors for the Parks model: Can jackknifing help?,"
Economics Discussion Papers
2010-23, Kiel Institute for the World Economy.
- Reed, W. Robert & Webb, Rachel S., 2011. "Estimating standard errors for the Parks model: Can jackknifing help?," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 5(1), pages 1-14.
- W. Robert Reed & Rachel S. Webb, 2009. "Estimating Standard Errors For The Parks Model: Can Jackknifing Help?," Working Papers in Economics 09/18, University of Canterbury, Department of Economics and Finance.
- Bergh, Andreas & Nilsson, Therese, 2010. "Good for Living? On the Relationship between Globalization and Life Expectancy," World Development, Elsevier, vol. 38(9), pages 1191-1203, September.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.