IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02706783.html
   My bibliography  Save this paper

Analysing incomplete individual employment histories using indirect inference
[L'analyse d'historiques incomplets des emplois individuels à l'aide des méthodes d'inférence indirecte]

Author

Listed:
  • T. Magnac

    (Station d'économie et de sociologie rurales de paris - INRA - Institut National de la Recherche Agronomique)

  • J.M. Robin

    (Station d'économie et de sociologie rurales de paris - INRA - Institut National de la Recherche Agronomique)

  • M. Visser

    (Station d'économie et de sociologie rurales de paris - INRA - Institut National de la Recherche Agronomique)

Abstract

Dans cet article, on applique les méthodes d'inférence indirecte pour estimer les paramètres de modèles de transition semi-markoviens soumis à des formes complexes de censure, telles que celles qui apparaissent dans certaines enquêtes de panel comme l'enquête Emploi de l'INSEE. La méthode du maximum de vraisemblance peut alors, dans ce cas, s'avérer particulièrement difficile à mettre en oeuvre. Cette méthodologie économétrique est d'abord testée sur des données simulées pour diverses hypothèses de spécification des lois des durées entre chaque transition. Elle est ensuite appliquée à l'analyse des transitions entre emplois salariés et indépendants d'une part, et chômage d'autre part, à partir des données de l'enquête Emploi de 1986-1988.

Suggested Citation

  • T. Magnac & J.M. Robin & M. Visser, 1995. "Analysing incomplete individual employment histories using indirect inference [L'analyse d'historiques incomplets des emplois individuels à l'aide des méthodes d'inférence indirecte]," Post-Print hal-02706783, HAL.
  • Handle: RePEc:hal:journl:hal-02706783
    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:

    Citations

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


    Cited by:

    1. Robert M. Sauer & Christopher Taber, 2021. "Understanding women's wage growth using indirect inference with importance sampling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(4), pages 453-473, June.
    2. Bo E. Honoré & Áureo de Paula, 2016. "A new model for interdependent durations with an application to joint retirement," CeMMAP working papers CWP07/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Bo Honoré & Áureo de Paula, 2011. "Interdependent Durations in Joint Retirement," Working Papers, Center for Retirement Research at Boston College wp2011-5, Center for Retirement Research, revised Feb 2011.
    4. Emi Nakamura & Dawit Zerom, 2010. "Accounting for Incomplete Pass-Through," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(3), pages 1192-1230.
    5. Andrey Launov & Klaus Wälde, 2013. "Estimating Incentive And Welfare Effects Of Nonstationary Unemployment Benefits," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(4), pages 1159-1198, November.
    6. GOBILLON Laurent & SELOD Harris, 2007. "The effects of segregation and spatial mismatch on unemployment: evidence from France," Research Unit Working Papers 0702, Laboratoire d'Economie Appliquee, INRA.
    7. Sauer, Robert M. & Taber, Christopher, 2017. "Indirect Inference with Importance Sampling: An Application to Women's Wage Growth," IZA Discussion Papers 11004, Institute of Labor Economics (IZA).
    8. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    9. van den Berg, Gerard J. & van der Klaauw, Bas, 2001. "Combining micro and macro unemployment duration data," Journal of Econometrics, Elsevier, vol. 102(2), pages 271-309, June.
    10. Bruins, Marianne & Duffy, James A. & Keane, Michael P. & Smith, Anthony A., 2018. "Generalized indirect inference for discrete choice models," Journal of Econometrics, Elsevier, vol. 205(1), pages 177-203.
    11. Fatih Guvenen & Anthony A. Smith, 2014. "Inferring Labor Income Risk and Partial Insurance From Economic Choices," Econometrica, Econometric Society, vol. 82, pages 2085-2129, November.
    12. Berg, Gerard J. van den & Klaauw, Bas van der, 1998. "Combining micro and macro unemployment data," Serie Research Memoranda 0041, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Mark Yuying An & Ming Liu, 2000. "Using Indirect Inference To Solve The Initial-Conditions Problem," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 656-667, November.
    14. Melissa Tartari, 2006. "Divorce and the cognitive achievement of children," 2006 Meeting Papers 32, Society for Economic Dynamics.

    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:hal:journl:hal-02706783. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.