Inequality comparisons with ordinal data
Stephen Jenkins
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
Non‐intersection of appropriately defined Generalized Lorenz (GL) curves is equivalent to a unanimous ranking of distributions of ordinal data by all Cowell and Flachaire (Economica, 2017) indices of inequality and by a new index based on GL curve areas. Comparisons of life satisfaction distributions for six countries reveal a substantial number of unanimous rankings. The GL dominance criteria are compared with other criteria including the dual‐H dominance criteria of Gravel, Magdalou, and Moyes (Economic Theory, 2020).
Keywords: inequality; ordinal data; Genderalized Lorenz dominance; H dominance; Hammond transfers; life satisfaction; World Values Survey (search for similar items in EconPapers)
JEL-codes: D31 D63 I31 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2020-11-03
New Economics Papers: this item is included in nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Review of Income and Wealth, 3, November, 2020. ISSN: 0034-6586
Downloads: (external link)
http://eprints.lse.ac.uk/106529/ Open access version. (application/pdf)
Related works:
Journal Article: Inequality Comparisons with Ordinal Data (2021) 
Working Paper: Inequality Comparisons with Ordinal Data (2020) 
Working Paper: Inequality Comparisons with Ordinal Data (2019) 
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:ehl:lserod:106529
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager (lseresearchonline@lse.ac.uk).