Bias-corrected doubly robust estimators preserve double robustness after propensity score trimming across unconfoundedness, IV, and DiD designs.
Valid inference for treatment effect parameters und er irregular identification and many extreme propensity scores,
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Doubly Robust Estimators with Weak Overlap
Bias-corrected doubly robust estimators preserve double robustness after propensity score trimming across unconfoundedness, IV, and DiD designs.