The method of model averaging has become an important tool to deal with model
uncertainty, for example in situations where a large amount of different theories exist, as are …

We examine the record of cross-country growth over the past fifty years and ask if
developing countries have made progress on closing the income gap between their per …

Abstract Model averaging has become a popular method of estimation, following increasing
evidence that model selection and estimation should be treated as one joint procedure …

Entrepreneurship has long been seen as an important instrument in stimulating and
generating economic growth. The amount of research trying to identify key factors that drive …

Abstract The Global Financial Crisis had a substantial impact on the size and composition of
portfolio capital flows, which raises the question whether the factors driving these capital …

Using a global sample, this paper investigates the determinants of wealth inequality
capturing various economic, financial, political, institutional, and geographical indicators …

This paper considers the instrumental variable regression model when there is uncertainty
about the set of instruments, exogeneity restrictions, the validity of identifying restrictions and …

This article tries to uncover the drivers of soccer players' market value in the five major
European soccer leagues taking into account model uncertainty (variable selection) in a …

The paper develops a computational method to deal with some open issues related to
Bayesian model averaging for multiple linear models: overfitting, model uncertainty …

Bayesian model averaging (BMA) has been successfully applied in the empirical growth
literature as a way to overcome the sensitivity of results to different model specifications. In …