Bootstrap-based bias correction for dynamic panels

The within or least-squares dummy variable estimator is inconsistent for homogeneous dynamic panel models with fixed time dimension T. We present a bias correction for this estimator based on an iterative bootstrap procedure. Monte Carlo simulations show that, for panels with small to moderate T, this procedure provides a good alternative for existing dynamic panel data estimators.