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...

This paper examines the movements in EU unemployment from two perspectives: (a) the NRU/NAIRU perspective, in which unemployment movements are attributed largely to changes in the long-run equilibrium unemployment rate and (b) the chain-reaction perspective, in which unemployment movements are...