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 paper investigates the average effects of (firm-provided) workplace health promotion measures in form of the analysis of sickness absenteeism and health circles/courses on labour market out­comes of the firms' employees. Exploiting linked employer-employee panel data that consist of rich...

In der öffentlichen Debatte werden vor dem Hintergrund von Studien zur Automatisierbarkeit von Berufen immer wieder Stimmen laut, dass Industrie 4.0 und Digitalisierung massive Jobverluste nach sich ziehen könnten. Der lange Weg von der Entwicklung neuer Technologien in die betriebliche Praxis...

In the paper we simulate a revenue-neutral cut in the social security contribution rate using five different types of macro- / microeconomic models, namely two models based on time-series data where the labour market is modelled basically demand oriented, two models of the class of computable...