The Event-History Approach to Program Evaluation
AbstractThis 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 InfoPaper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 06-057/3.
Date of creation: 03 Jul 2006
Date of revision: 29 Oct 2007
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Web page: http://www.tinbergen.nl
event-history analysis; identifiability; mixed semi-Markov model; program evaluation;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-09-11 (All new papers)
- NEP-BEC-2006-09-11 (Business Economics)
- NEP-ECM-2006-09-11 (Econometrics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Horny, Guillaume & Picchio, Matteo, 2010.
"Identification of lagged duration dependence in multiple-spell competing risks models,"
Elsevier, vol. 106(3), pages 241-243, March.
- Horny, G. & Picchio, M., 2009. "Identification of lagged duration dependence in multiple-spell competing risks models," Working papers 260, Banque de France.
- Guillaume HORNY & Matteo PICCHIO, 2009. "Identification of Lagged Duration Dependence in Multiple Spells Competing Risks Models," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2009001, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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