Profiling tools help to deliver employment services more efficiently. They can ensure that more costly, intensive services are targeted at jobseekers most at risk of becoming long term unemployed. Moreover, the detailed information on the employment barriers facing jobseekers obtained through...

Statistical models can help public employment services to identify factors associated with long-term unemployment and to identify at-risk groups. Such profiling models will likely become more prominent as increasing availability of big data combined with new machine learning techniques improve...

In this paper we estimate, for the 1989-93 period in Belgium, the effect of vocational classroom training on therate of transition out of unemployment. We show that rationing of the demand for training increases theunemployment duration of non-participants, an effect neglected in programme...

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,...

We study the impact of graduating in a recession in Flanders (Belgium), i.e. in a rigid labor market. In the presence of a high minimum wage, a typical recession hardly influences the hourly wage of low educated men, but reduces working time and earnings by about 4.5% up to twelve years after...

In this paper we estimate, for the 1989-93 period in Belgium, the effect of vocational classroom training on therate of transition out of unemployment. We show that rationing of the demand for training increases theunemployment duration of non-participants, an effect neglected in programme...