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...

We investigate the importance of employer preferences in explaining Sticky Floors, the pattern that women are, compared to men, less likely to start to climb the job ladder. To this end we perform a randomised field experiment in the Belgian labour market and test whether hiring discrimination...