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On multidimensional poverty rankings of binary attributes
Author(s) -
Peragine Vito,
Pittau Maria G.,
Savaglio Ernesto,
Vannucci Stefano
Publication year - 2021
Publication title -
journal of public economic theory
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.809
H-Index - 32
eISSN - 1467-9779
pISSN - 1097-3923
DOI - 10.1111/jpet.12502
Subject(s) - poverty , ranking (information retrieval) , econometrics , economics , binary number , task (project management) , statistics , mathematics , computer science , economic growth , artificial intelligence , arithmetic , management
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.