Treatment changes identify causal effects under two non-nested structural models that difference out time-constant confounders; under random walk on treatment these are equivalent to levels-based methods, and two-way fixed effects regression is doubly robust.
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When Do Treatment Changes Identify Causal Effects?
Treatment changes identify causal effects under two non-nested structural models that difference out time-constant confounders; under random walk on treatment these are equivalent to levels-based methods, and two-way fixed effects regression is doubly robust.