On multidimensional poverty rankings of binary attributes

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 po...

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Bibliographic Details
Published in:Journal of public economic theory 2021-04, Vol.23 (2), p.248-274
Main Authors: Peragine, Vito, Pittau, Maria G., Savaglio, Ernesto, Vannucci, Stefano
Format: Article
Language:English
Subjects:
Economic theory
Poverty
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Summary: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.
ISSN:1097-3923
1467-9779
DOI:10.1111/jpet.12502