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The Non-Parametric Identification of the Mixed Proportional Hazards Competing Risks Model

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  • Jaap H. Abbring

    ()
    (Vrije Universiteit Amsterdam)

  • Gerard J. van den Berg

    ()
    (Vrije Universiteit Amsterdam)

Abstract

We prove identification of dependent competing risks models in which each risk has a mixed proportional hazard specification with regressors, and the risks are dependent by way of the unobserved heterogeneity, or frailty, components. We show that the conditions for non-parametric identification given by Heckman and Honoré(1989) can be relaxed. We generalize the results for the case in which multiple spells are observed for each subject.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 00-066/3.

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Date of creation: 01 Aug 2000
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Handle: RePEc:dgr:uvatin:20000066

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Web page: http://www.tinbergen.nl

Related research

Keywords: competing risks; mixed proportional hazard; non-parametric identification; frailty; duration model; multiple spells;

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References

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  1. James J. Heckman & Christopher R. Taber, 1994. "Econometric Mixture Models and More General Models for Unobservables in Duration Analysis," NBER Technical Working Papers 0157, National Bureau of Economic Research, Inc.
  2. Hahn, Jinyong, 1994. "The Efficiency Bound of the Mixed Proportional Hazard Model," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 607-29, October.
  3. Honore, Bo E, 1993. "Identification Results for Duration Models with Multiple Spells," Review of Economic Studies, Wiley Blackwell, vol. 60(1), pages 241-46, January.
  4. Elbers, Chris & Ridder, Geert, 1982. "True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model," Review of Economic Studies, Wiley Blackwell, vol. 49(3), pages 403-09, July.
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Cited by:
  1. Emmanuel Dechenaux & Brent Goldfarb & Scott Shane & Mari Thursby, 2006. "Appropriability and Commercialization: Evidence from MIT Inventions," Discussion Papers 05-017, Stanford Institute for Economic Policy Research.
  2. Piil Damm, Anna, 2005. "Immigrants’ Location Preferences: Exploiting a Natural Experiment," Working Papers 05-2, University of Aarhus, Aarhus School of Business, Department of Economics.
  3. Jensen, Peter & Rosholm, Michael & Svarer, Michael, 2003. "The response of youth unemployment to benefits, incentives, and sanctions," European Journal of Political Economy, Elsevier, vol. 19(2), pages 301-316, June.

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