Semiparametric DID estimator for ATT under MNAR outcomes using a shadow variable for identification and an associated estimation algorithm.
Difference-in-Differences Design with Outcomes Missing Not at Random
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Conformal inference produces robust prediction intervals for treatment effects under experimental attrition, outperforming complete-case, imputation, and weighting approaches in simulations.
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Semiparametric Difference-in-Differences Estimation With Missing Not at Random Data: A Shadow Variable Approach
Semiparametric DID estimator for ATT under MNAR outcomes using a shadow variable for identification and an associated estimation algorithm.
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Conformal Inference for Experimental Attrition in Social Science Research
Conformal inference produces robust prediction intervals for treatment effects under experimental attrition, outperforming complete-case, imputation, and weighting approaches in simulations.