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 radius matching framework. Considering two popular methods, the …

Propensity Score Matching-Schätzer sind ein zentrales Tool, um Wirkungen aktiver Arbeitsmarktpolitik mit …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 …

) matching estimates of Active Labor Market Policies (ALMPs) based on the selection-on-observables assumption are to typically … confounders. However, results also show that matching on the PS using only typically observed covariates reduces imbalance in … matching approach based on rich and high quality administrative data appears to be sufficient to obtain estimates that are …

propensity score weighting estimation of the average treatment effects for treated (ATT). The proposed averaging procedures aim …

perform matching estimations to analyse the treatment effect on the treated. In the cross-section estimation, we find …-participants. Therefore, we combine matching with difference-in-difference estimation (to control for unobserved heterogeneity), Doing so, we … matching estimation can be decomposed into a causal effect (6%-points), correlated unobserved heterogeneity and negative spill …

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …