Joint hypothesis tests for multidimensional inequality indices
Ramses Abul Naga,
Yajie Shen and
Hong Il Yoo
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
An inequality index over p dimensions of well-being is decomposable by attributes if it can expressed as a function of p unidimensional inequality indices and a measure of association between the various dimensions of well-being. We exploit this decomposition framework to derive joint hypothesis tests regarding the sources of multidimensional inequality, and present Monte Carlo evidence on their finite sample behavior.
Keywords: Multidimensional inequality indices; Large sample distributions; Joint hypothesis tests; Bootstrap (search for similar items in EconPapers)
JEL-codes: J1 (search for similar items in EconPapers)
Date: 2016-02-27
New Economics Papers: this item is included in nep-hap
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Economics Letters, 27, February, 2016, 141, pp. 138-142. ISSN: 0165-1765
Downloads: (external link)
http://eprints.lse.ac.uk/65678/ Open access version. (application/pdf)
Related works:
Journal Article: Joint hypothesis tests for multidimensional inequality indices (2016) 
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:65678
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 ().