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Matrix Completion Methods for Causal Panel Data Models

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NBER2018-10-01 更新2025-01-04 收录
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In this paper we study methods for estimating causal effects in settings with panel data, where a subset of units are exposed to a treatment during a subset of periods, and the goal is estimating counterfactual (untreated) outcomes for the treated unit/period combinations. We develop a class of

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2018-10-01
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