We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

This study is, to the best of our knowledge, the first analysis of apprenticeship supply that allows us to analyse the effects of the shutdowns triggered by the COVID-19 pandemic before, during and after these shutdowns by means of daily searches for vacant apprenticeships. Analysing over 10...

Even though the recession in Switzerland triggered by COVID-19 ultimately remained without consequences for the apprenticeship market, significantly fewer apprenticeship contracts had been signed in the months of the first shutdown in 2020 than in the same months of the previous year. Using...

This study is, to the best of our knowledge, the first analysis of apprenticeship supply that allows us to analyse the effects of the shutdowns triggered by the COVID-19 pandemic before, during and after these shutdowns by means of daily searches for vacant apprenticeships. Analysing over 10...