the question whether the omission of important control variables in matching estimation leads to biased impact estimates …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates … as detailed regional characteristics are also relevant. -- training ; job search assistance ; matching estimation …

and other variants of matching, as well as different parametric models. The simulation design used is based on real data … all estimators. The key conclusion from our simulations is that a particular radius matching estimator combined with … important property. -- propensity score matching ; kernel matching ; inverse probability weighting ; selection on observables …

and other variants of matching, as well as different parametric models. The simulation design used is based on real data … all estimators. The key conclusion from our simulations is that a particular radius matching estimator combined with … important property. -- propensity score matching ; kernel matching ; inverse probability weighting ; selection on observables …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates … as detailed regional characteristics are also relevant. -- training ; job search assistance ; matching estimation …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates …

the question whether the omission of important control variables in matching estimation leads to biased impact estimates …