We investigate heterogenous employment effects of Flemish training programmes. Based on administrative individual data, we analyse programme effects at various aggregation levels using Modified Causal Forests (MCF), a causal machine learning estimator for multiple programmes. While all...

Unemployment is notoriously difficult to predict. In previous studies, once country and year fixed effects are added to panel estimates, few variables predict changes in unemployment rates. Using panel data for 29 European countries collected by the European Commission over 444 months between...

This paper provides evidence for the existence of a wage curve - a micro-econometric association between the level of pay and the local unemployment rate - in modern U.S. data. Consistent with recent evidence from more than 40 other countries, the wage curve in the United States has a long-run...