. Using Bayesian model averaging techniques, we assess the robustness of the explanatory variables proposed in the recent …

the Bayesian Model Averaging technique. In order to carry out this analysis, we also estimate the time-varying natural …

canonical models for the purpose of posterior inference. A Bayesian model averaging procedure is presented in order to deal with … inference. A Bayesian model averaging procedure is presented in order to deal with models with substantial probability both near … models, state space models, error correction models, random effects panel data models, Bayesian model averaging JEL …

hetero- geneity, interaction terms with FDI, and more than 20 growth determinants. We use Bayesian Model Averaging to address …

canonical models for the purpose of posterior inference. A Bayesian model averaging procedure is presented in order to deal with …