Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-being

Jean-Yves Duclos, David Sahn and Stephen Younger ()

Cahiers de recherche from CIRPEE

Abstract: This paper provides a method to make robust multidimensional poverty comparisons when one or more of the dimensions of well-being or deprivation is discrete. Sampling distributions for the statistics used in these poverty comparisons are provided. Several examples show that the methods are both practical and interesting in the sense that they can provide richer information than do univariate poverty comparisons.

Keywords: Multidimensional Poverty; Stochastic Dominance (search for similar items in EconPapers)
JEL-codes: D31 D63 I31 I32 (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-ecm and nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (113)

Downloads: (external link)
http://www.cirpee.org/fileadmin/documents/Cahiers_2006/CIRPEE06-28.pdf (application/pdf)

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:lvl:lacicr:0628

Access Statistics for this paper

More papers in Cahiers de recherche from CIRPEE Contact information at EDIRC.
Bibliographic data for series maintained by Manuel Paradis ().