Portal de Periódicos da CAPES

Bias-Corrected Estimation in Dynamic Panel Data Models

2005; Taylor & Francis; Volume: 23; Issue: 2 Linguagem: Inglês

10.1198/073500104000000532

1537-2707

Maurice J. G. Bun, Martin Carree,

Fiscal Policy and Economic Growth

This study develops a new bias-corrected estimator for the fixed-effects dynamic panel data model and derives its limiting distribution for finite number of time periods, T, and large number of cross-section units, N. 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 instrumental variables and generalized method-of-moments estimators and is relatively easy to compute. Monte Carlo experiments provide evidence that the bias-corrected estimator performs well even in small samples. The proposed technique is applied in an empirical analysis of unemployment dynamics at the U.S. state level for the 1991–2000 period.