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La contribution des écarts de rémunération entre les femmes et les hommes à l'inégalité des rémunérations dans la fonction publique : une approche par la décomposition des inégalités

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  • Frédéric Chantreuil

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Frédéric Gavrel

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Pascal Guironnet

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Isabelle Lebon

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

[fre] Le Système d’information sur les agents des services publics retrace la rémunération annuelle de chacun des salariés de la fonction publique. Du fait de son exhaustivité, il constitue une base de données particulièrement intéressante pour appréhender les écarts de rémunération entre les femmes et les hommes. Cet article s’intéresse à la contribution de cet écart à l’inégalité des rémunérations entre l’ensemble des salariés de ce secteur. On considère la rémunération nette totale reçue par chaque agent comme la somme de plusieurs éléments, l’un propre à son âge pour capter son avancement dans la carrière, un deuxième déterminé par son sexe et un dernier associé à d’autres caractéristiques ; on évalue alors la contribution du genre aux inégalités de rémunération, mesurées par l’indice de Gini, avec une décomposition inspirée de la valeur de Shapley. Cette décomposition attribue aux écarts de rémunération entre les hommes et les femmes une contribution de 10 % pour la catégorie A, 10,6 % pour la catégorie B et 11,7 % pour la catégorie C. D’importantes disparités apparaissent entre les différents versants de la fonction publique. Dans la fonction publique hospitalière, la contribution du genre est très faible hors catégorie A. Au contraire, dans la fonction publique d’État, toutes les catégories affichent une contribution du genre supérieure à 10 %, particulièrement dans les administrations centrales. Dans la fonction publique territoriale, la part des inégalités de rémunération attribuable aux différences de rémunération femmes-hommes est plus importante dans les catégories A et C que dans la catégorie B, et dans les autres établissements publics locaux que dans les collectivités territoriales.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Frédéric Chantreuil & Frédéric Gavrel & Jean-Pascal Guironnet & Isabelle Lebon, 2016. "La contribution des écarts de rémunération entre les femmes et les hommes à l'inégalité des rémunérations dans la fonction publique : une approche par la décomposition des inégalités," Post-Print halshs-01377617, HAL.
  • Handle: RePEc:hal:journl:halshs-01377617
    DOI: 10.3406/estat.2016.10716
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01377617
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    References listed on IDEAS

    as
    1. Chantreuil, Frédéric & Lebon, Isabelle, 2015. "Gender contribution to income inequality," Economics Letters, Elsevier, vol. 133(C), pages 27-30.
    2. repec:adr:anecst:y:2011:i:101-102:p:02 is not listed on IDEAS
    3. Frédéric Chantreuil & Alain Trannoy, 2013. "Inequality decomposition values: the trade-off between marginality and efficiency," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(1), pages 83-98, March.
    4. Jacques Mairesse & Michele Pezzoni, 2015. "Does Gender Affect Scientific Productivity ?. A Critical Review of the Empirical Evidence and a Panel Data Econometric Analysis for French Physicists," Revue économique, Presses de Sciences-Po, vol. 66(1), pages 65-113.
    5. Frédéric Chantreuil & Alain Trannoy, 2011. "Inequality Decomposition Values," Annals of Economics and Statistics, GENES, issue 101-102, pages 13-36.
    6. Frank, Robert H, 1978. "Why Women Earn Less: The Theory and Estimation of Differential Overqualification," American Economic Review, American Economic Association, vol. 68(3), pages 360-373, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    genre; Shapley; inégalité; décomposition par facteurs;
    All these keywords.

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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