Explorer l'explicatif. Application à l'analyse biographique
AbstractThis 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.
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Bibliographic InfoArticle provided by Institut National d'Études Démographiques (INED) in its journal Population.
Volume (Year): 59 (2004)
Issue (Month): 6 ()
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Web page: http://www.cairn.info/revue-population.htm
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- Thomas Barnay & Karine Briard, 2010.
"Health and Early Retirement: Evidence from French Data for individuals,"
- Thomas Barnay & Karine Briard, 2011. "Health and Early Retirement: Evidence from French Data for individuals," Economics Bulletin, AccessEcon, vol. 31(1), pages 324-341.
- Thomas Barnay & Karine Briard, 2010. "Health and Early Retirement: Evidence from French Data for individuals," TEPP Working Paper 2010-07, TEPP.
- Briard, Karine, 2009. "Un modèle de carrières types dynamiques pondérées pour le Régime général d’assurance vieillesse : une application aux conséquences de la réforme de 2003," Economics Papers from University Paris Dauphine 123456789/6330, Paris Dauphine University.
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