Measuring Inequality of Well-Being with a Correlation-Sensitive Multidimensional Gini Index
Maria Ana Lugo and
Koen Decancq
No 459, Economics Series Working Papers from University of Oxford, Department of Economics
Abstract:
We propose to measure inequality of well-being with a multidimensional generalization of the Gini coefficient. We derive two inequality indices from their underlying social evaluation functions. These functions are conceived as a double aggregation functions: one across the dimensions of well-being, and another across the individuals. They differ only with respect to the sequencing of aggregations. We argue that the sequencing that does not exclude the Gini index to be sensitive to the correlation between the dimensions is more attractive. We illustrate both Gini indices using Russian household data on three dimensions of well-being: expenditure, health and education.
Keywords: Multidimensional inequality; Single parameter Gini index; Correlation increasing majorization; Russia (search for similar items in EconPapers)
JEL-codes: D63 I31 O52 (search for similar items in EconPapers)
Date: 2009-11-01
New Economics Papers: this item is included in nep-cis, nep-hap, nep-ltv and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://ora.ox.ac.uk/objects/uuid:58da856a-6b24-4258-ae23-0326b1866a92 (text/html)
Related works:
Working Paper: Measuring inequality of well-being with a correlation-sensitive multidimensional Gini index (2009) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oxf:wpaper:459
Access Statistics for this paper
More papers in Economics Series Working Papers from University of Oxford, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Anne Pouliquen ( this e-mail address is bad, please contact ).