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Bounds in Competing Risks Models and the War on Cancer

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Author Info

  • Bo E. Honoré

    (Department of Economics, Princeton University)

  • Adriana Lleras-Muney

    (Woodrow Wilson School of Public and International Affairs, Princeton University)

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    Abstract

    Competing risks models are fundamentally unidentified. This paper derives bounds for aspects of the underlying distributions under a number of different assumptions. These bounds are then applied to mortality data from the US. We find that trends in cancer show much larger improvements than was previously estimated.

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    File URL: http://www.econ.ku.dk/cam/wp0910/wp0203/2004-08.pdf/
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    Bibliographic Info

    Paper provided by University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics in its series CAM Working Papers with number 2004-08.

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    Length: 27 pages
    Date of creation: Apr 2004
    Date of revision:
    Handle: RePEc:kud:kuieca:2004_08

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    Web page: http://www.econ.ku.dk/CAM/
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    Related research

    Keywords: Bounds; Competing Risks; Cancer;

    This paper has been announced in the following NEP Reports:

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    Cited by:
    1. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Christian Bontemps & Thierry Magnac & Eric Maurin, 2012. "Set Identified Linear Models," Econometrica, Econometric Society, vol. 80(3), pages 1129-1155, 05.
    3. Lee, Sokbae & Wilke, Ralf A., 2005. "Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data," ZEW Discussion Papers 05-29, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    4. Andrew Chesher, 2002. "Local identification in nonseparable models," CeMMAP working papers CWP05/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Sokbae Lee, 2006. "Identification of a competing risks model with unknown transformations of latent failure times," Biometrika, Biometrika Trust, vol. 93(4), pages 996-1002, December.

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