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Mesure de l'influence des facteurs socioéconomiques sur l'obésité : regards croisés des modèles logistiques et quantiles


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  • TCHICAYA Anastase
  • DIA Modou
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    Le surpoids et l?obésité sont devenus des véritables problèmes de santé publique dans la plupart des pays développés compte tenu de leur ampleur et de leurs conséquences sociales et économiques. Ce texte présente de manière synthétique les résultats de l?analyse croisée de l?application de modèles logistique et quantile à la mesure de l?influence des facteurs socioéconomiques sur l?obésité. Les données proviennent des enquêtes PSELL3/EU-SILC de 2005 et de 2007. Il en ressort principalement que l?influence du niveau d?études est plus avérée pour les deux types de modèles que le revenu.

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    Bibliographic Info

    Paper provided by CEPS/INSTEAD in its series CEPS/INSTEAD Working Paper Series with number 2010-32.

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    Length: 12 pages
    Date of creation: Oct 2010
    Date of revision:
    Handle: RePEc:irs:cepswp:2010-32

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    Keywords: Obésité; facteurs socioéconomiques; Modèles logistique généralisé et quantile; Luxembourg;

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    1. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, American Economic Association, vol. 15(4), pages 143-156, Fall.
    2. Franco Sassi & Marion Devaux & Jody Church & Michele Cecchini & Francesca Borgonovi, 2009. "Education and Obesity in Four OECD Countries," OECD Education Working Papers, OECD Publishing 39, OECD Publishing.
    3. Franco Sassi & Marion Devaux & Jody Church & Michele Cecchini & Francesca Borgonovi, 2009. "Education and Obesity in Four OECD Countries," OECD Health Working Papers, OECD Publishing 46, OECD Publishing.
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