Conditional Triple Difference-in-Differences

Dor Leventer

Papers from arXiv.org

Abstract: Triple difference-in-differences designs are widely used to estimate causal effects in empirical work. Surveying the literature, we find that most applications include controls. We show that this standard practice is generally biased for the target causal estimand when covariate distributions differ across groups. To address this, we propose identifying a causal estimand by fixing the covariate distribution to that of one group. We then develop a double-robust estimator and illustrate its application in a canonical policy setting.

Date: 2025-02, Revised 2025-06
New Economics Papers: this item is included in nep-ecm
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