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Welfare comparisons of income distributions and family size: An individualistic approach

Author

Listed:
  • Marc Fleurbaey

    (CNRS - Centre National de la Recherche Scientifique)

  • Cyrille Hagneré

    (Agence centrale des organismes de Sécurité sociale)

  • Alain Trannoy

    (EHESS - École des hautes études en sciences sociales, GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

Abstract

We investigate the problem of how to perform comparisons of income distributions across families of different sizes. We argue that social welfare ought to be computed as the average individual utility instead of the average household utility as in most known criteria. We provide dominance criteria which allow for some indeterminacy about the average optimal family size, by resorting to the bounded approach to dominance analysis proposed by Fleurbaey et al. (2003). Indeed, when differences in needs come from family size, a specific population allocation problem (how a population should be optimally divided over families for given resources) adds to the usual income allocation problem. Pro-family and anti-family stances are introduced in order to make explicit the choice of an optimal family size. An application to French data shows that shifting from the household to the individualistic point of view can substantially alter the outlook of dominance results.

Suggested Citation

  • Marc Fleurbaey & Cyrille Hagneré & Alain Trannoy, 2014. "Welfare comparisons of income distributions and family size: An individualistic approach," Post-Print hal-01474426, HAL.
  • Handle: RePEc:hal:journl:hal-01474426
    DOI: 10.1016/j.jmateco.2014.02.006
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    Cited by:

    1. is not listed on IDEAS
    2. Billette de Villemeur, Etienne & Leroux, Justin, 2016. "Accounting for Needs in Cost Sharing," MPRA Paper 73434, University Library of Munich, Germany.

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