This paper examines how robust economic, political, and demographic variables are related to water and air pollution. Employing Bayesian Averaging of Classical Estimates (BACE) for a cross section of up to 74 countries, 33 variables and 3 proxies for air and water pollution over a period from...

This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

The authors argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sali-i-Martin, they use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, they then use reweighted...