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...

Using harmonized micro data, this paper investigates the job search behaviour of the unemployed in Europe. The analysis focuses on the importance of individual and household characteristics in this context, as well as on cross-country differences in Europe. Our findings suggest that both...

Using harmonized micro data, this paper investigates the effects of the early phase (2008-10) of the recent economic crisis on transitions between labour market states in Europe. Our analysis focuses on individual heterogeneity, on the type of employment contract, and on cross-country...

We study the effects of robot exposure on worker flows in 16 European countries between 1998-2017. Overall, we find small negative effects on job separations and small positive effects on job findings. Labour costs are shown to be a major driver of cross-country differences: the effects of robot...