"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...

The pool of early retirees is characterized by a large heterogeneity along several criteria. The present paper focuses on the key distinction between those in forced early retirement and those who retire early by individual choice. We start by estimating a retirement probit model for older...

On the basis of aggregate data for the early nineties, we analyse the determinants of unemployment duration for laid-off male workers in Wallonia (Belgium). Our results demonstrate that if ranking in recruitment occurs, the standard Mixed Proportional Hazard specification can be too restrictive,...

In this paper we investigate whether unemployment traps exist and are significant in the transition from unemployment into employment in Belgium. In order to assess them, we use panel data sample selection models. Specifically, we estimate a parametric random effects models composed by a wage...

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...

This paper implements a method to identify and estimate treatment effects in a dynamic setting where treatments may occur at any point in time. By relating the standard matching approach to the timing-of-events approach, it demonstrates that effects of the treatment on the treated at a given...