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Explorer l'explicatif. Application à l'analyse biographique

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  • Xavier Bry
  • Philippe Antoine

Abstract

This article presents an empirical plugging of factor analysis and generalized linear regression (logistic regression, Cox models, ...). We show that this combination can facilitate the exploration of complex data such as that on event histories (time-varying, censored) for modelling purposes. By combining a regression method with a new type of factor analysis ? Thematic Components Analysis ? we show how an explanatory conceptual model for the data can be included from the start of the exploratory phase. This method is then applied to an analysis of the divorce behaviour of men in Dakar, and used to give a simple illustration of each methodological point discussed.

Suggested Citation

  • Xavier Bry & Philippe Antoine, 2004. "Explorer l'explicatif. Application à l'analyse biographique," Population (french edition), Institut National d'Études Démographiques (INED), vol. 59(6), pages 909-945.
    • Handle: RePEc:cai:popine:popu_406_0909
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    Cited by:

    1. Thomas Barnay & Karine Briard, 2011. "Health and Early Retirement: Evidence from French Data for individuals," Economics Bulletin, AccessEcon, vol. 31(1), pages 324-341.
    2. repec:dau:papers:123456789/6330 is not listed on IDEAS

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