We use (donut) regression discontinuity design and difference-in-differences estimators to estimate the impact of a one-shot hiring subsidy targeted at low-educated unemployed youths during the Great Recession recovery in Belgium. The subsidy increases job-finding in the private sector by 10...

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...

Providing income support to unemployed education-leavers reduces the returns to investments in education because it makes the consequences of unemployment less severe. We evaluate a two-part policy reform in Belgium to study whether conditioning the prospective entitlement to unemployment...