Recent studies find in-work poverty to be a pan-European phenomenon. Yet in-work poverty has come to the fore as a policy issue only recently in most continental European countries. Policies implemented in the United States and the United Kingdom, most notably in-work benefit schemes, are much...

Recent studies find in-work poverty to be a pan-European phenomenon. Yet in-work poverty has come to the fore as a policy issue only recently in most continental European countries. Policies implemented in the United States and the United Kingdom, most notably in-work benefit schemes, are much...

The employment rates of non-EU immigrants compared to natives in Belgium continue to be low. In this chapter we examine whether differences in educational attainments offer an adequate explanation for these persisting labour market disadvantages. We decompose the gap in labour market outcomes...

This paper documents joblessness in OECD countries, provides a detailed diagnosis of structural employment barriers in Belgium, Korea and Norway by applying the OECD Faces of Joblessness methodology to the situation just before the COVID-19 crisis and discusses the policy implications. It shows...

Household debt has increased significantly since the second half of the 20th century, making it one of the cornerstones of household financial behaviour. It is, however, necessary to monitor that indebtedness does not spiral out of control, as it can have negative consequences both at the micro...

In July 2004, the Belgian government intensified monitoring within the Unemployment Insurance scheme. Workers claiming unemployment benefits for more than 13 months are notified that past job-search behavior will be monitored 8 months later. In one region the target group is counselled shortly...

In this paper we estimate, for the 1989-93 period in Belgium, the effect of vocational classroom training on the rate of transition from unemployment. We propose a "control function" estimator accounting for variable treatment effects. In the absence of interaction effects between explanatory...

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...

Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find...