The standard practice of selecting a single model from some class of models and then making inferences based on this model ignores model uncertainty. Ignoring model uncertainty can impair predictive performance and lead to overstatement of the strength of evidence via p-values that are too small. Bayesian model averaging provides a coherent approach for accounting for model uncertainty. A varie...

While economic theory suggests a wide range of potential drivers public debt, there is little consensus regarding the most relevant ones. This paper analyzes determinants debt in Africa. done by adopting Bayesian Model Averaging (BMA) approach applied to data 51 African countries, spanning period 1990–2018. Our results suggest that, among set twenty-seven (27) regressors considered, those refle...