We examine the asymptotic properties of IV, GMM or MLE to estimate dynamic panel data models when either N or T or both …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

dynamic panel data models. To illustrate particular pitfalls some further Monte Carlo results are produced, obtained from a … moments (GMM) estimators in homoskedastic stable zero-mean panel AR(1) models with random individual specific effects. We …

We propose a novel estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating … for including predetermined variables in fixed-effects panel regressions that appears to perform well. …

We propose a semi-parametric approach to heterogeneous dynamic panel data modelling. The method generalizes existing … equilibrium exchange rate determination in a cross-country panel, we find evidence of largely heterogeneous adjustment and more …

Across many disciplines, the fixed effects estimator of linear panel data models is the default method to estimate … panel. We consider several alternatives to the fixed effects estimator with T > 2 when relevant unit-specific heterogeneity … results from multiple linear panel data estimators in applied research. …

I derive the unconditional transformed likelihood function and its derivatives for a fixed-effects panel data model …