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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
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    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. 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.
    3. 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.
    4. 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.
    5. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    6. 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.
    7. 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.
    8. 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.
    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. Robert M. Sauer & Christopher R. Taber, 2017. "Indirect Inference with Importance Sampling: An Application to Women’s Wage Growth," NBER Working Papers 23669, National Bureau of Economic Research, Inc.
    11. 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.
    12. 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.
    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.

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