This paper investigates the finite sample properties of a range of inference methods for propensity score-based matching and weighting estimators frequently applied to evaluate the average treatment effect on the treated. We analyse both asymptotic approximations and bootstrap methods for...

By merging administrative data on public finances of all municipalities in Germany with individual data from the German Socio-Economic Panel, we explore whether local public expenditures on sports facilities influences individual labor market outcomes. Our identification strategy follows 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...