using a sample of 3,979 neonates which represents over 84,846 observations (infant/days).We use a semiparametric panel data …

Panel Survey. We contribute to the existing literature by exploring the relationship between a wide range of aspects of …

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 …

-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution … a general â toolboxâ for a wide range of specifications which includes the dynamic space- time panel model with random … effects, with cross-correlated effects à la Chamberlain, for the Hausman-Taylor world and for dynamic panel data models with …

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 …

We explore whether a protective role for savings against future financial hardship exists using household level panel …

This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence …

Bayesian Updating is the dominant theory of learning in economics. The theory is silent about how individuals react to …