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Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
Political Analysis, 2025, with Cyrus Samii and Junlong Aaron Zhou . Why this problem matters Many experiments and quasi-experiments suffer from the problem of endogenously missing outcomes : researchers only observe results for people who complete a key task, such as a survey, conversation, or interview, while dropout or nonresponse itself can be affected by the treatment. This creates what Slough (2023) calls the “phantom counterfactual” issue, where some units have undef

Ye Wang
Jul 10, 20212 min read
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