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Staggered Adoption DiD Designs with Misclassification and Anticipation
Clara Augustin, Daniel Gutknecht, Cenchen Liu
https://arxiv.org/abs/2507.20415 https://

Staggered Adoption DiD Designs with Misclassification and Anticipation
This paper examines the identification and estimation of treatment effects in staggered adoption designs -- a common extension of the canonical Difference-in-Differences (DiD) model to multiple groups and time-periods -- in the presence of (time varying) misclassification of the treatment status as well as of anticipation. We demonstrate that standard estimators are biased with respect to commonly used causal parameters of interest under such forms of misspecification. To address this issue, we…