using Bayesian model averaging to account for model uncertainty. The differences in the reported estimates are …

performance are and, importantly, which ones policy makers can influence. We use Bayesian Model Averaging in a panel setting to …

by means of a Bayesian Model Averaging (BMA) approach. To identify the effects of structural shocks, we propose a …

the signal approach. In order to check the robustness of indicators, the Bayesian model averaging technique is used. The … all estimated specifications of the logit model, including the technique of Bayesian model averaging. Additionally, trends …

testing exercise. To account for model uncertainty when modeling PD dynamics we use a benchmark-constrained Bayesian model … averaging approach that combines standard BMA with a benchmark derived from a quantile mapping between the historical PD …

Bayesian model averaging to test competing theories within this unifying framework. Examining nearly 40 potential determinants …

using Bayesian model averaging to account for model uncertainty. The differences in the reported estimates are …