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On multidimensional poverty rankings of binary attributes

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  • Vito Peragine
  • Maria G. Pittau
  • Ernesto Savaglio
  • Stefano Vannucci

Abstract

We address the problem of ranking distributions of attributes in terms of poverty, when the attributes are represented by binary variables. To accomplish this task, we identify a suitable notion of “multidimensional poverty line” and characterize axiomatically the Head‐Count and the Attribute‐Gap poverty rankings, which are the natural counterparts of the most widely used income poverty indices. Finally, we apply our methodology and compare our empirical results with those obtained with some other well‐known poverty measures.

Suggested Citation

  • Vito Peragine & Maria G. Pittau & Ernesto Savaglio & Stefano Vannucci, 2021. "On multidimensional poverty rankings of binary attributes," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(2), pages 248-274, April.
    • Handle: RePEc:bla:jpbect:v:23:y:2021:i:2:p:248-274
    DOI: 10.1111/jpet.12502
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    References listed on IDEAS

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    Cited by:

    1. Flaviana Palmisano & Ida Petrillo, 2022. "A general rank‐dependent approach for distributional comparisons," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(2), pages 380-409, April.

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