IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v76y1994i4p683-94.html
   My bibliography  Save this article

Estimation of the Duration Model by Nonparametric Maximum Likelihood, Maximum Penalized Likelihood, and Probability Simulators

Author

Listed:
  • Huh, Keun
  • Sickles, Robin C

Abstract

Failure to properly treat heterogeneity components in longitudinal analyses can result in an incorrect parametrization of the duration model. Estimation bias is not limited to duration dependence but also extends to the structural parameters. This paper uses Monte Carlo methods to examine the finite sample behavior of three estimators for this problem: nonparametric maximum likelihood, maximum penalized likelihood, and the probability simulator. The authors' results on the estimators' finite sample behavior for this class of model add to limited experimental evidence. They highlight the estimators' computational feasibility and point to their relative strengths in empirical duration modeling. Copyright 1994 by MIT Press.

Suggested Citation

  • Huh, Keun & Sickles, Robin C, 1994. "Estimation of the Duration Model by Nonparametric Maximum Likelihood, Maximum Penalized Likelihood, and Probability Simulators," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 683-694, November.
    • Handle: RePEc:tpr:restat:v:76:y:1994:i:4:p:683-94
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0034-6535%28199411%2976%3A4%3C683%3AEOTDMB%3E2.0.CO%3B2-L&origin=bc
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Kalwij, Adriaan, 2001. "Individuals' Unemployment Experiences: Heterogeneity and Business Cycle Effects," IZA Discussion Papers 370, Institute of Labor Economics (IZA).
    2. Nicoletti, Cheti & Rondinelli, Concetta, 2010. "The (mis)specification of discrete duration models with unobserved heterogeneity: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 159(1), pages 1-13, November.
    3. Li, Xianghong & Smith, Barry, 2015. "Diagnostic analysis and computational strategies for estimating discrete time duration models—A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 187(1), pages 275-292.
    4. Stefano Lombardi & Gerard J. van den Berg & Johan Vikström, 2024. "Empirical Monte Carlo evidence on estimation of timing-of-events models," Econometric Reviews, Taylor & Francis Journals, vol. 44(1), pages 90-118, September.
    5. Gaure, Simen & Roed, Knut & Zhang, Tao, 2007. "Time and causality: A Monte Carlo assessment of the timing-of-events approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1159-1195, December.
    6. George Neumann, 1996. "Search Models and Duration Data," Econometrics 9602008, University Library of Munich, Germany, revised 07 Mar 1996.
    7. García-Pérez, J. Ignacio, 2012. "Economic Conditions and Employment Dynamics of Immigrants versus Natives: Who Pays the Costs of the "Great Recession"?," UC3M Working papers. Economics we1232, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Zhang, Tao, 2003. "A Monte Carlo study on non-parametric estimation of duration models with unobserved heterogeneity," Memorandum 25/2003, Oslo University, Department of Economics.
    9. Bloemen, H.G. & Kalwij, A.S., 1996. "Female Employment and Timing of Births Decisions : A Multiple State Transition Model," Discussion Paper 1996-26, Tilburg University, Center for Economic Research.
    10. Kalwij, Adriaan, 2001. "Individuals' Unemployment Durations over the Business Cycle," IZA Discussion Papers 369, Institute of Labor Economics (IZA).
    11. Sickles, Robin C. & Williams, Jenny, 2008. "Turning from crime: A dynamic perspective," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 158-173, July.
    12. Xiaohong Chen & James J. Heckman & Edward Vytlacil, 2000. "Identification and SQRT N Efficient Estimation of Semiparametric Panel Data Models with Binary Dependent Variables and a Latent Factor," Econometric Society World Congress 2000 Contributed Papers 1567, Econometric Society.
    13. Raquel Carrasco & José Ignacio García Pérez, 2010. "Unobserved Heterogeneity in Multi-Spell Discrete Time Duration Models," Working Papers 10.11, Universidad Pablo de Olavide, Department of Economics.
    14. Adriaan Kalwij, 2010. "Unemployment durations and the pattern of duration dependence over the business cycle of British males," Empirical Economics, Springer, vol. 38(2), pages 429-456, April.
    15. Baker, Michael & Melino, Angelo, 2000. "Duration dependence and nonparametric heterogeneity: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 96(2), pages 357-393, June.
    16. Bloemen, Hans & Kalwij, Adriaan S., 2001. "Female labor market transitions and the timing of births: a simultaneous analysis of the effects of schooling," Labour Economics, Elsevier, vol. 8(5), pages 593-620, December.
    17. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    18. Adriaan S. Kalwij, 2004. "Unemployment Experiences of Young Men: on the Road to Stable Employment?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(2), pages 205-237, May.

    More about this item

    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:tpr:restat:v:76:y:1994:i:4:p:683-94. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.