Multivariate Majorization
Somesh Das Gupta and
Subir Kumar Bhandari
Additional contact information
Somesh Das Gupta: Indian Statistical Institute
Subir Kumar Bhandari: Indian Statistical Institute
Chapter 3 in Contributions to Probability and Statistics, 1989, pp 63-74 from Springer
Abstract:
Abstract The concept of univariate majorization plays a central role in the study of Lorenz dominance for income distribution comparisions in economics. The first part of this paper reviews different conditions which are equivalent to Lorenz dominance. The second part of the present paper poses the question whether such equivalences extend to the multivariate case. Some concepts of multivariate majorization are presented along with a few new results. For economic applications, the notion of a concave utility function on vector observations appears to play a crucial role in multivariate majorization. It is shown that such concavity follows from some easily understandable axioms.
Keywords: Concave Function; Pareto Distribution; Inequality Measure; Stochastic Matrix; Multivariate Case (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
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:spr:sprchp:978-1-4612-3678-8_6
Ordering information: This item can be ordered from
http://www.springer.com/9781461236788
DOI: 10.1007/978-1-4612-3678-8_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().