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Multidimensional Poverty Orderings: Theory and Applications

Author

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  • François Bourguignon

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Satya R. Chakravarty

    (Indian Statistical Institute [Kolkata])

Abstract

This paper generalizes the poverty ordering criteria available for single dimensional income poverty to the case of multidimensional welfare attributes. A set of properties to be satisfied by multidimensional poverty measures is first discussed. Then general classes of poverty measures based on these properties are defined. Finally, dominance criteria are derived such that a distribution of multidimensional attributes exhibits less poverty than another for all multidimensional poverty indices belonging to a given class. These criteria may be seen as a generalization of the single dimensional poverty-line criterion. However, it turns out that the way this generalization is made depends on whether attributes are complements or substitutes.

Suggested Citation

  • François Bourguignon & Satya R. Chakravarty, 2019. "Multidimensional Poverty Orderings: Theory and Applications," Post-Print halshs-02489846, HAL.
    • Handle: RePEc:hal:journl:halshs-02489846
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    Cited by:

    1. World Bank, 2022. "A Welfarist Theory Unifying Monetary and Non-Monetary Poverty Measurement," Policy Research Working Paper Series 10076, The World Bank.

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