In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their … estimator is biased in the context of dynamic estimation. The estimators taking into account the resulting bias can be grouped …

We apply a heterogenous coefficient spatial autoregressive panel model from Aquaro, Bailey and Pesaran (2015) to … likelihood estimation method set forth by Aquaro, Bailey and Pesaran (2015), we rely on a Markov Chain Monte Carlo (MCMC …) estimation methodology. MCMC estimates as applied here with non-informative priors will produce estimates equal to those from …

Focus is on efficient estimation of a dynamic space-time panel data model that incorporates spatial dependence … of spatial units and T the number of time periods. Quasi-maximum likelihood (QML) estimation in cases involving large N … estimates that require numerous inversions of large matrices. We set forth a Markov Chain Monte Carlo (MCMC) estimation …

attention to dependence among cross-sectional units, be it time-dependent or not. To obtain a panel cointegration test robust to … independent even in the presence of correlation or cointegration across units, leading to a panel test statistic robust to cross …