This paper proposes a new method to estimate the extent of job competition between workers with different schooling levels. We estimate the structural parameters of a matching function generalised to incorporate crowding out effects. We use flow data out of unemployment containing information on...

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 study investigates whether young unemployed graduates who accept a job below their level of education accelerate or delay the transition into a job that matches their level of education. We adopt the Timing of Events approach to identify this dynamic treatment effect using monthly calendar...