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Simplified estimation of multivariate duration models with unobserved heterogeneity


  • Gordana Colby


  • Paul Rilstone


A simple structure is suggested for modelling unobserved heterogeneity in multivariate duration models which avoids the "curse of dimensionality" and numerical integration of the likelihood function. This structure can be applied to many retirement and aging decisions including: time to retirement between spouses, financial planning, and health related retirement decisions.
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Suggested Citation

  • Gordana Colby & Paul Rilstone, 2007. "Simplified estimation of multivariate duration models with unobserved heterogeneity," Computational Statistics, Springer, vol. 22(1), pages 17-29, April.
  • Handle: RePEc:spr:compst:v:22:y:2007:i:1:p:17-29
    DOI: 10.1007/s00180-006-0019-7

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    References listed on IDEAS

    1. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    2. Butler, J S & Anderson, Kathryn H & Burkhauser, Richard V, 1989. "Work and Health after Retirement: A Competing Risks Model with Semiparametric Unobserved Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 46-53, February.
    3. Söderberg, Hans & Lyhagen, Johan, 1999. "Testing for Independence in Multivariate Duration Models," SSE/EFI Working Paper Series in Economics and Finance 302, Stockholm School of Economics.
    4. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-1149, September.
    5. Colby, Gordana & Rilstone, Paul, 2004. "Nonparametric Identification Of Latent Competing Risks Models," Econometric Theory, Cambridge University Press, vol. 20(05), pages 883-890, October.
    6. Heckman, James J. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
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    Cited by:

    1. Congdon, Peter, 2008. "A bivariate frailty model for events with a permanent survivor fraction and non-monotonic hazards; with an application to age at first maternity," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4346-4356, May.

    More about this item

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies


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