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Nicholas L. Brown

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Preprint Oct 2026

An Averaging Alternative to Pre-Trend Testing

We study difference-in-differences (DID) estimation of average treatment effects on the treated when the researcher is uncertain about which pre-treatment periods satisfy the parallel trends assumption. Roth (2022) shows that pre-trend testing can induce bias, complementing the statistical literature on post-selection...

Nicholas L. Brown, Qiu-Shi Bu · 0 citations

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