IDEAS home Printed from https://ideas.repec.org/a/ect/emjrnl/v1y1998iconferenceissuepc129-c153.html
   My bibliography  Save this article

Simulated maximum likelihood estimation in transition models

Author

Listed:
  • THIERRY KAMIONKA

Abstract

In this paper we analyse the problem of modelling individual transitions in the presence of an incomplete sampling scheme. This problem is particularly cumbersome when a continuous time-scale is used for the modelling and when the model incorporates unobserved heterogeneity. This problem arises, for instance, when the observation is made at fixed time points or stops on an interval of time. In order to take this phenomenon into account, we propose to maximize the simulated likelihood using an importance function. The method can be applied to general continuous-time discrete-state-space processes and a broad class of incomplete sampling schemes.

Suggested Citation

  • Thierry Kamionka, 1998. "Simulated maximum likelihood estimation in transition models," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 129-153.
    • Handle: RePEc:ect:emjrnl:v:1:y:1998:i:conferenceissue:p:c129-c153
    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.

    Citations

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


    Cited by:

    1. Lacroix, G & Brouard M-E, 2011. "Work Absenteeism Due to a Chronic Disease," Health, Econometrics and Data Group (HEDG) Working Papers 11/15, HEDG, c/o Department of Economics, University of York.
    2. Guy Lacroix & Dany Brouillette, 2011. "Assessing the impact of a wage subsidy for single parents on social assistance," Canadian Journal of Economics, Canadian Economics Association, vol. 44(4), pages 1195-1221, November.
    3. Lechner, Michael & Lollivier, Stefan & Magnac, Thierry, 2005. "Parametric Binary Choice Models," IDEI Working Papers 398, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Nicholas-James Clavet & Jean-Yves Duclos, 2012. "Le financement des services de garde des enfants : effets sur le travail, le revenu des familles, et les finances publiques," CIRANO Working Papers 2012s-33, CIRANO.
    5. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
    6. Nicholas-James Clavet & Jean-Yves Duclos & Guy Lacroix, 2013. "Fighting Poverty: Assessing the Effect of Guaranteed Minimum Income Proposals in Quebec," Canadian Public Policy, University of Toronto Press, vol. 39(4), pages 491-516, December.
    7. Tue Gorgens & Sanghyeok Lee, 2017. "Estimation of dynamic models of recurring events with censored data," ANU Working Papers in Economics and Econometrics 2017-655, Australian National University, College of Business and Economics, School of Economics.

    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:ect:emjrnl:v:1:y:1998:i:conferenceissue:p:c129-c153. 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: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.