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Analyzing the Anticipation of Treatments with Data on Notification Dates

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  • 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.

Suggested Citation

  • Bruno Crepon & Marc Ferracci & Grégory Jolivet & Gerard Van Den Berg, 2010. "Analyzing the Anticipation of Treatments with Data on Notification Dates," Working Papers 2010-41, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:2010-41
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    References listed on IDEAS

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    1. Murray Aitkin, 1999. "A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models," Biometrics, The International Biometric Society, vol. 55(1), pages 117-128, March.
    2. Marc FERRACCI & Grégory JOLIVET & Gerard J van den Berg, 2009. "Treatment Evaluation in the Case of Interaction Within Markets," Working Papers 2009-22, Center for Research in Economics and Statistics.
    3. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    4. Giacomi De Giorgi, 2005. "Long-term effects of a mandatory multistage program: the New Deal for young people in the UK," IFS Working Papers W05/08, Institute for Fiscal Studies.
    5. Bart, COCKX & Muriel, DEJEMEPPE, 2007. "IIs the Notification of Monitoring a Threat to the Unemployed ? A Regression Discontinuity Approach," Discussion Papers (ECON - Département des Sciences Economiques) 2007016, Université catholique de Louvain, Département des Sciences Economiques.
    6. Bruno Crépon & Marc Ferracci & Denis Fougere, 2012. "Training the Unemployed in France: How Does it Affect Unemployment Duration and Recurrence?," Annals of Economics and Statistics, GENES, issue 107-108, pages 175-199.
    7. Richardson, Katarina & van den Berg, Gerard J., 2006. "Swedish Labor Market Training and the Duration of Unemployment," IZA Discussion Papers 2314, Institute of Labor Economics (IZA).
    8. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
    9. Heckman, James J. & Navarro, Salvador, 2007. "Dynamic discrete choice and dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 136(2), pages 341-396, February.
    10. Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2009. "Active Labor Market Policy Effects in a Dynamic Setting," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 595-605, 04-05.
    11. Dan A. Black & Jeffrey A. Smith & Mark C. Berger & Brett J. Noel, 2003. "Is the Threat of Reemployment Services More Effective Than the Services Themselves? Evidence from Random Assignment in the UI System," American Economic Review, American Economic Association, vol. 93(4), pages 1313-1327, September.
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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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