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...

We bring the notion of connectedness (Diebold and Yilmaz, 2012) to a set of two critical macroeconomic variables as inflation and unemployment. We focus on the G7 economies plus Spain, and use monthly data –high-frequency data in a macro setting – to explore the extent and consequences of...