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The Event-History Approach to Program Evaluation

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Author Info

  • Jaap H. Abbring

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

Abstract

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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File URL: http://papers.tinbergen.nl/06057.pdf
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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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Web page: http://www.tinbergen.nl

Related research

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

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References

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  1. Gerard J. van den Berg & Anders Holm & Jan C. van Ours, 1999. "Do Stepping Stone Jobs exist? Early Career Paths in the Medical Profession," Tinbergen Institute Discussion Papers 99-041/3, Tinbergen Institute.
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Cited by:
  1. Horny, Guillaume & Picchio, Matteo, 2010. "Identification of lagged duration dependence in multiple-spell competing risks models," Economics Letters, Elsevier, vol. 106(3), pages 241-243, March.

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