"This paper posits that the provision of family friendly practices is, on balance, costly to firms and valuable to workers. As a consequence, we anticipate the emergence of a hedonic equilibrium in which workers provided with such practices face an implicit reduction in their earnings. Using...

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...

Over the last two decades, most OECD countries have reformed their social security in order to make early departures from the labor market increasingly difficult. Despite the fiscal gains that are expected from these reforms, it is likely that these gains from longer careers will be partly...

"The empirical literature on unemployment insurance has focused on its direct effect on unemployment duration, while the potential indirect effect on employment stability through a more efficient matching process, as the unemployed can search for a longer period, has attracted much less...

Gender wage and employment gaps are negatively correlated across countries. We argue that non-random selection of women into work explains an important part of such correlation and thus of the observed variation in wage gaps. The idea is that, if women who are employed tend to have relatively...

Using micro panel data, labor market transitions are analyzed for the EU-member states by cumulative year-by-year transition probabilities. As female (non-)employment patterns changed more dramatically than male employment in past decades, the analyses mainly refer to female labor supply. In...

Although it is now widely-accepted that unemployment is associated with sharply lower levels of individual well-being, relatively little is known about how this effect depends on unemployment duration. Data from three large-scale European panels is used to shed light on this issue; these data...