matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of …Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for …

selection) in matching, instrumental variable and control functions methods. (2) It contrasts the roles of exclusion … restrictions in matching and selection models. (3) It characterizes the sensitivity of matching to the choice of conditioning …. (4) It demonstrates the problem of choosing the conditioning variables in matching and the failure of conventional model …

We provide a set of probabilistic laws for range-based estimation of integrated variance of a continuous semi-martingale …

Regression, matching, control function and instrumental variables methods for recovering the impact of education on …

Matching has become a popular approach to estimate average treatment effects. It is based on the conditional … matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where … to undermine the implications of the matching analysis. …

This paper proposes sequential matching and inverse selection probability weighting to estimate dynamic causal effects …. The sequential matching estimators extend simple, matching estimators based on propensity scores for static causal … estimators perform well in small and medium size samples. Based on the application of the sequential matching estimators to an …