Rearrangements and Sequential Rank Order Dominance. A Result with Economic Applications
Patrick Moyes ()
Cahiers du GREThA (2007-2019) from Groupe de Recherche en Economie Théorique et Appliquée (GREThA)
Abstract:
Distributive analysis typically involves comparisons of heterogeneous distributions where\r\nindividuals differ in more than just one attribute. In the particular case where there are two\r\nattributes and where the distribution of one of these two attributes is fixed, one can appeal\r\nto sequential rank order dominance for comparing distributions. We consider the degenerate\r\ncase where all individuals differ with respect to the attribute whose distribution is fixed and we show that sequential rank order domination of one distribution over another implies that the dominating distribution can be obtained from the dominated one by means of a finite sequence of favourable permutations, and conversely. We provide three examples where favourable permutations prove to have interesting implications from a normative point of view.
Keywords: Rearrangements; Favourable Permutations; Sequential Rank Order Dominance; Matching; Mobility; Impatience (search for similar items in EconPapers)
JEL-codes: D31 D63 I32 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://cahiersdugretha.u-bordeaux.fr/2011/2011-35.pdf (application/pdf)
Related works:
Working Paper: Rearrangements and sequential rank order dominance. A result with economic applications (2011)
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:grt:wpegrt:2011-35
Access Statistics for this paper
More papers in Cahiers du GREThA (2007-2019) from Groupe de Recherche en Economie Théorique et Appliquée (GREThA) Contact information at EDIRC.
Bibliographic data for series maintained by Ernest Miguelez ().