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In settings with few treated units, Difference-in-Differences (DID)estimators are not consistent, and are not generally asymptotically normal.This poses relevant challenges for inference. While there are inference methodsthat are valid in these settings, some of these alternatives are not readilyavailable when there is variation in treatment timing and heterogeneoustreatment effects; or for deriving uniform confidence bands for event-studyplots. We present alternatives in settings with few treated units that arevalid with variation in treatment timing and/or that allow for uniformconfidence bands.

Extensions for Inference in Difference-in-Differences with Few Treated Clusters