Approximation formulae are developed for the bias of ordinary andgeneralized Least Squares Dummy Variable (LSDV …) estimators in dynamicpanel data models. Results from Kiviet (1995, 1999) are extended tohigher-order dynamic panel data models … proper modelling of thedisturbance covariance structure is indispensable. The biasapproximations are used to construct bias …

Through Monte Carlo experiments the small sample behavior is examinedof various inference techniques for dynamic panel … corrected versions of it are comparedwith IV and GMM regarding: coefficient bias, accuracy of varianceestimators - both of the … disturbances and of the coefficientestimators - and the actual size of coefficient tests. A reasonablysimple and consistent bias …

dynamic panel data models. The estimators are (nearly) unbiased andperform satisfactorily even for small samples in either the …

This paper introduces a new estimator for the fixed effects dynamic panel data model withexogenous variables. This … small samples. The nearly unbiased estimatoris derived as a bias correction of the within estimator (least squares dummy …

The finite sample behaviour is analysed of particular least squares (LS) andmethod of moments (MM) estimators in panel … of bias of (generalized) MMestimators tends to increase with the number of moment conditions exploited. Forvarious … feedbacks none of the techniques examined dominates. However, asimple bias corrected LS estimator which presupposes strict …