regions, we apply a flexible propensity score matching approach that controls for selection on observables as well as on time …

, I show how panel data can be used to improve the credibility of matching and instrumental variable estimators. In …

inexperienced and can benefit from venture capital support. Only part of them succeed in matching with a venture capitalist while …

Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …

Propensity score matching is a nonparametric technique frequently used for estimating average treatment effects. Yet … the setting of selection on unobservables. It is shown that propensity score matching can be used to decompose effects due …. Furthermore, the generalized propensity score property justifies the use of propensity score matching in difference …

nonparametric matching and weighting estimators of the average treatment effects and their properties are examined. …

This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and … derives conditions for weighting and matching to identify the same and the true distribution, respectively. This comparison …