We investigate the connections between some specific commodity prices and global macroeconomic performance in a two-stage approach. At the first stage we employ machine learning techniques to identify from a large set of globally traded commodities the ones with the strongest predictive power on...

In this paper, we construct a new disaggregated net financial wealth data set for the OECD and some emerging markets countries. We find that since the beginning of 1990s, the net wealth positions of countries have developed differently. First, for a group of central and northern European...

We incorporate the division of income between capital and labor into analysis on the relationship between inequality and growth. Using historical data, we document that changes in the top 1 % income shares are positively associated with subsequent growth of per capita GDP when the capital share...

Using household data from the latest wave of the Ghana Living Standards Survey, this paper utilizes machine learning techniques to examine the effect of gender wage differences within households on women's empowerment and welfare in Ghana. The structural parameters of the post-double selection...

Using household data from the latest wave of the Ghana Living Standards Survey, this paper utilizes machine learning techniques to examine the effect of gender wage differences within households on women's empowerment and welfare in Ghana. The structural parameters of the post-double selection...

A decade after the 2008–2009 global recession, the world’s financial architecture has developed into an integrated network of financial and commodity markets, mainly due to cross-border investments and trade. In light of this, shock spillovers have also intensified as the interdependence...