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Analyzing the Anticipation of Treatments with Data on Notification Dates

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Author Info

  • Bruno Crepon

    (Crest)

  • Marc Ferracci

    (Crest)

  • Grégory Jolivet

    (Crest)

  • Gerard Van Den Berg

    (Crest)

Abstract

When treatments may occur at di®erent points in time, most evaluation methodsassume - implicitly or explicitly - that all the information used by subjects about theoccurrence of a future treatment is available to the researcher. This is often called the\no anticipation" assumption. In reality, subjects may receive private signals aboutthe date when a treatment may start. We provide a methodological and empiricalanalysis of this issue in a setting where the outcome of interest as well as the moment ofinformation arrival (noti¯cation) and the start of the treatment can all be characterizedby duration variables. Building on the \Timing of Events" approach, we show thatthe causal e®ects of noti¯cation and of the treatment on the outcome are identi¯ed.We estimate the model on an administrative data set of unemployed workers in Francewhich provides the date when job seekers receive information from caseworkers abouttheir future treatment status. We ¯nd that noti¯cation has a signi¯cant and positivee®ect on unemployment duration. This result violates the standard \no anticipation"assumption and rules out a \threat e®ect" of training programs in France.

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Bibliographic Info

Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2010-41.

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Length: 35
Date of creation: 2010
Date of revision:
Handle: RePEc:crs:wpaper:2010-41

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Cited by:
  1. Marco Caliendo & Steffen Künn & Arne Uhlendorff, 2012. "Marginal Employment, Unemployment Duration and Job Match Quality," Discussion Papers of DIW Berlin 1222, DIW Berlin, German Institute for Economic Research.

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