Based on new, exceptionally informative and large German linked employer-employee administrative data, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programs for the...

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...

This paper presents a reappraisal of unemployment movements in the European Union. Our analysis is based on the chain reaction theory of unemployment, which focuses on (a) the interaction among labor market adjustment processes, (b) the interplay between these adjustment processes and the...