IDEAS home Printed from https://ideas.repec.org/p/mcm/sedapp/31.html
   My bibliography  Save this paper

Simplified Estimation of Multivariate Duration Models with Unobserved Heterogeneity

Author

Listed:
  • Gordana Colby
  • Raul Rilstone

Abstract

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.

Suggested Citation

  • Gordana Colby & Raul Rilstone, 2000. "Simplified Estimation of Multivariate Duration Models with Unobserved Heterogeneity," Social and Economic Dimensions of an Aging Population Research Papers 31, McMaster University.
  • Handle: RePEc:mcm:sedapp:31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    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. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
    5. Heckman, James J & Honore, Bo E, 1990. "The Empirical Content of the Roy Model," Econometrica, Econometric Society, vol. 58(5), pages 1121-1149, September.
    6. Colby, Gordana & Rilstone, Paul, 2004. "Nonparametric Identification Of Latent Competing Risks Models," Econometric Theory, Cambridge University Press, vol. 20(5), pages 883-890, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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

    Keywords

    multivariate duration model; retirement;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mcm:sedapp:31. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/demcmca.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.