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We develop new semiparametric methods for estimating treatment effects. We focus on a setting where the outcome distributions may be thick tailed, where treatment effects are small, where sample sizes are large and where assignment is completely random. This setting is of particular interest in...
Persistent link: https://www.econbiz.de/10012629462
Matching estimators (Rubin, 1973a, 1977; Rosenbaum, 2002) are widely used in statistical data analysis. However, the … large sample distribution of matching estimators has been derived only for particular cases (Abadie and Imbens, 2006). This … article establishes a martingale representation for matching estimators. This representation allows the use of martingale …
Persistent link: https://www.econbiz.de/10012463891
selection--on--observables type assumptions using matching or propensity score methods. Much of this literature is highly …
Persistent link: https://www.econbiz.de/10012458705