We show how instrumental variable and matching estimators can be combined in order to identify a broader array of treatment effects. Instrumental variable (IV) estimators are...

This paper demonstrates the identification of causal mechanisms of a binary treatment under selection on observables, (primarily) based on inverse probability weighting; i.e. we...

Using recently developed econometric techniques to estimate quantile treatment effects (QTE) and experimental data, we examine the impact of Job Corps on earnings distribution....

To increase the exit from welfare, benefit recipients in the municipality of Rotterdam were exposed to various financial incentives. Once their benefit spell exceeded one year,...

The effect of a treatment on the hazard rate of a duration outcome may depend on the elapsed time since treatment. In addition, treatment effects may be heterogeneous across...

In 1994 a social experiment was conducted in Denmark, where unemployed applicants for classroom training were randomised into treatment and control groups. The data are...