the Union for the Mediterranean (UfM) over the recent period. Our methodology relies on four recent estimation methods for … non-stationary panel data and includes four pollutants (two global and two local). Two main results emerge from our … analysis. First, the EKC does not hold for most pollutants, and its validity crucially depends on the estimation techniques …

paper investigates the link between nighttime light pollution and economic growth, air pollution, and urban density. We …-level counties. This has implications for policies that have been proposed to curtail nighttime light pollution. …

. Neo-humanism proposes a world in which the well-being of people comes before the well-being of markets, in which promoting …

This study uses 1971-2013 panel data to explore the implications of growth, wealth disparities and energy consumption …

Hausman-Taylor world and for dynamic panel data models with homogeneous/heterogeneous slopes and cross-sectional dependence …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 …

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. …

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

specify an a priori structure on a few drivers of unobserved heterogeneity. One such example is the choice of combinations of …