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Nonparametric Identification Of Latent Competing Risks Models

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  • Colby, Gordana
  • Rilstone, Paul

Abstract

This paper shows that nonparametric identification of latent competing risks models is possible without the usual conditional independence and exclusion restrictions.The authors thank Jinyong Hahn, James Heckman, and Shinichi Sakata for useful discussions on the subject matter of this paper. Any errors are the fault of the authors. Research funding for Rilstone was provided by the Social Sciences and Humanities Research Council of Canada.

Suggested Citation

  • Colby, Gordana & Rilstone, Paul, 2004. "Nonparametric Identification Of Latent Competing Risks Models," Econometric Theory, Cambridge University Press, vol. 20(5), pages 883-890, October.
    • Handle: RePEc:cup:etheor:v:20:y:2004:i:05:p:883-890_20
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    Cited by:

    1. Haghani, Shermineh, 2014. "Modeling hedge fund lifetimes: A dependent competing risks framework with latent exit types," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 291-320.
    2. Gordana Colby & Paul Rilstone, 2007. "Simplified estimation of multivariate duration models with unobserved heterogeneity," Computational Statistics, Springer, vol. 22(1), pages 17-29, April.
    3. Ran Deng & Shermineh Haghani, 2017. "FHA Loans in Foreclosure Proceedings: Distinguishing Sources of Interdependence in Competing Risks," JRFM, MDPI, vol. 11(1), pages 1-15, December.

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