A matching-and-regression estimator for group average treatment effects is shown consistent, doubly robust, and asymptotically normal, with a bias-corrected version that avoids inverse propensity weighting.
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Matching-Based Nonparametric Estimation of Group Average Treatment Effects
A matching-and-regression estimator for group average treatment effects is shown consistent, doubly robust, and asymptotically normal, with a bias-corrected version that avoids inverse propensity weighting.