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The Event-History Approach to Program Evaluation


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  • Jaap H. Abbring

    (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)


This paper studies the event-history approach to microeconometric programevaluation. We present a mixed semi-Markov event-history model, discussits application to program evaluation, and analyze its empirical content.The results of this paper provide fundamental insights in what can be learnedfrom longitudinal micro data about, for example, the effects of training programsfor the unemployed on their unemployment durations and subsequentjob stability. They can guide the choice of particular models and methods forthe empirical analysis of such effects. This discussion paper resulted in a publication in: D.L. Millimet, J. Smith, and E. Vytlacil (Eds.), chapter 2 in ' Advances in Econometrics ', 2008, volume 21: Modeling and Evaluating Treatment Effects in Econometrics, 33-55, Elsevier Science, Amsterdam.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 06-057/3.

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Date of creation: 03 Jul 2006
Date of revision: 29 Oct 2007
Handle: RePEc:dgr:uvatin:20060057

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Keywords: event-history analysis; identifiability; mixed semi-Markov model; program evaluation;

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  1. Gerard J. van den Berg & Anders Holm & Jan C. van Ours, 2002. "Do stepping-stone jobs exist? Early career paths in the medical profession," Journal of Population Economics, Springer, vol. 15(4), pages 647-665.
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Cited by:
  1. Horny, G. & Picchio, M., 2009. "Identification of lagged duration dependence in multiple-spell competing risks models," Working papers 260, Banque de France.


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