This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large …

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two … performance of our estimator relative to classic panel estimators using data on earnings and crime. …

This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the … robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian … specifications which includes the dynamic panel model with random effects, with cross-correlated effects à la Chamberlain, for the …