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Fuzzy Changes-in Changes

Listed author(s):
  • de Chaisemartin, Clement

    (University of Warwick)

  • D'Haultfoeuille, Xavier


The changes-in-changes model extends the widely used difference-in-differences to situations where outcomes may evolve heterogeneously. Contrary to difference-in-differences, this model is invariant to the scaling of the outcome. This paper develops an instrumental variable changes-in-changes model, to allow for situations in which perfect control and treatment groups cannot be defined, so that some units may be treated in the "control group", while some units may remain untreated in the "treatment group". This is the case for instance with repeated cross sections, if the treatment is not tied to a strict rule. Under a mild strengthening of the changes-in-changes model, treatment effects in a population of compliers are point identied when the treatment rate does not change in the control group, and partially identied otherwise. Simple plug-in estimators of treatment effects are proposed. We show that they are asymptotically normal, and that the bootstrap is valid. Finally, we use our results to reanalyze findings in Field (2007) and Duo (2001).

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Paper provided by Competitive Advantage in the Global Economy (CAGE) in its series CAGE Online Working Paper Series with number 184.

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Date of creation: 2014
Handle: RePEc:cge:wacage:184
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