Conditional Triple Difference-in-Differences

Dor Leventer

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arXiv · 2502.16126

Conditional Triple Difference-in-Differences

Dor Leventer

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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.

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Dor Leventer. 2025-02-22. Conditional Triple Difference-in-Differences. https://arxiv.org/abs/2502.16126

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