This study examines the immediate and intermediate effects of the COVID-19 pandemic on the well-being of two high school graduation cohorts (2020 and 2021). We also investigate how changes in well-being at the transition to post-secondary education affect educational plans and outcomes. Our...

This paper explores whether wage, employment and tenure outcomes of workers taking up a job subsidized by the German Federal Employment Agency differ by industry. The analysis utilizes administrative data and statistical matching tech-niques; it covers an observation period of 3.5 years. First,...

In this paper, we investigate the short-run effects of the Covid-19 pandemic on vocational education and training after the first lockdown in the year 2020 in Germany. We exploit rich establishment-level survey data to estimate the causal effects of the pandemic by applying...

Demographic change implies an increasing demand for elderly care and a lower labor force potential at the same time. Training unemployed workers in care occupations might mitigate this problem. This study analyzes the effectiveness of subsidized training in elderly care professions for the...

We analyse the impact of retraining for the unemployed on future labour market success, and estimate effects separately for different target occupations. We use German registry data and apply statistical matching methods. The results show that on average, after a period with strong lock-in...

Der Beitrag untersucht die Auswirkungen der Covid-19-Pandemie und zweier Lockdowns auf die psychische Gesundheit und das subjektive Wohlbefinden von Beschäftigten in Deutschland. Hierzu wird mit Daten eines monatlichen Panels von Individualdaten von Dezember 2018 bis Dezember 2020 ein...

We evaluate the quantity-quality trade-off on the labor market by estimating an augmented matching function weighting the matches by quality measures. We use the approach to evaluate the German labor market reforms conducted between 2003 and 2005. Indeed, we find a significant quantity-quality...

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...