Bias-corrected estimation in dynamic panel data models
Abstract
This study develops a new bias-corrected estimator for the fixed-effects dynamic panel data model and derives its limiting distribution for fixed T and N large. The bias-corrected estimator is derived as a bias correction of the least-squares dummy variable (within) estimator. It does not share some of the drawbacks of recently developed IV and GMM estimators and is relatively easy to compute. Monte Carlo experiments provide evidence for the bias-corrected estimator to perform well even in small samples. The paper contains an application to a model of unemployment dynamics at the U.S. state level for the 1991-2000 period.(This abstract was borrowed from another version of this item.)
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Paper provided by Maastricht University in its series Open Access publications from Maastricht University with number urn:nbn:nl:ui:27-15271.Length:
Date of creation: 2005
Date of revision:
Publication status: Published in Journal of business & economic statistics (2005) v.23, p.200-210
Handle: RePEc:ner:maastr:urn:nbn:nl:ui:27-15271
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Web page: http://www.maastrichtuniversity.nl/web/Home.htm
Related research
Keywords:Other versions of this item:
- Bun, Maurice J.G. & Carree, Martin A., 2005. "Bias-Corrected Estimation in Dynamic Panel Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 200-210, April.
- Bun,M.J.G. & Carree,M.A., 2002. "Bias-corrected estimation in dynamic panel data models," Research Memoranda 025, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
References
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