On multidimensional poverty rankings of binary attributes. (15th February 2021)

• Record Type: Journal Article
• Authors: Peragine, Vito; Pittau, Maria G.; Savaglio, Ernesto; Vannucci, Stefano
• Is Part Of: Journal of public economic theory. Volume 23:Number 2(2021)
• Page Start: 248
• Page End: 274
• Publication Date: 2021-02-15
• Subjects: Economic policy -- Periodicals; Finance, Public -- Periodicals; 338.9005
• DOI: 10.1111/jpet.12502
• Languages: English
• ISSNs: 1097-3923

Abstract

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.