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...

This paper analyzes Germany's unusual labor market experience during the Great Recession. We estimate a general equilibrium model with a detailed labor market block for postunification Germany. This allows us to disentangle the role of institutions (short-time work, government spending rules)...

This paper proposes a new approach to evaluate the macroeconomic effects of the Hartz IV reform in Germany, which reduced the generosity of long-term unemployment benefits. We use a model with different unemployment durations, where the reform initiates both a partial effect and an equilibrium...

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...

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...

In this paper, we compare two popular statistical learning techniques, logistic regression and random forest, with respect to their ability to classify jobseekers by their likelihood to become long-term unemployed. We study the performance of the two methods before the COVID-19 pandemic as well...