Approximation formulae are developed for the bias of ordinary andgeneralized Least Squares Dummy Variable (LSDV … proper modelling of thedisturbance covariance structure is indispensable. The biasapproximations are used to construct bias … plausible long-run effects are obtained by the biascorrected estimators. Moreover, bias correction can be substantialunderlining …

compares very favorably to bootstrap bias-correction, both in terms of bias and mean squared error. In non-stationary models …We analyze the properties of various methods for bias-correcting parameter estimates in both stationary and non …-stationary vector autoregressive models. First, we show that two analytical bias formulas from the existing literature are in fact …

convergence rate of the QML estimators has not been formally studied, and methods for correcting finite sample bias of the QML … estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the … those for the SLD model in terms of the rate of convergence and the magnitude of bias. Monte Carlo results show that the …