Ranking opportunity profiles through dependent evaluation of policies

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Date
2012Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión aceptada / Onetsi den bertsioa
Impact
|
10.1007/s10888-011-9165-4
Abstract
Rankings to evaluate opportunity distributions present in most of the literature judge a policy (change from one distribution of opportunities to another) on the basis of the changes created and, thus, independently of the original situation. This paper proposes a group of axioms capturing the idea that rankings of equality of opportunities might consider not only the changes promoted, b ...
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Rankings to evaluate opportunity distributions present in most of the literature judge a policy (change from one distribution of opportunities to another) on the basis of the changes created and, thus, independently of the original situation. This paper proposes a group of axioms capturing the idea that rankings of equality of opportunities might consider not only the changes promoted, but also the initial situation in society. The combination of this group of axioms with other well-established properties enables us to characterize two families of new opportunity distribution rankings. The first family weighs each individual’s percentage share in the total number of opportunities, while the second weighs opportunities depending on how many agents have them available. [--]
Subject
Opportunity profiles,
Advantage,
Equality,
Evaluation of policies
Publisher
Springer US
Published in
The Journal of Economic Inequality, December 2012, Volume 10, Issue 4, pp 471-487
Description
The final publication is available at Springer via http://dx.doi.org/10.1007/s10888-011-9165-4
Departament
Universidad Pública de Navarra. Departamento de Economía /
Nafarroako Unibertsitate Publikoa. Ekonomia Saila
Publisher version
Sponsorship
Financial support
from the Spanish Ministry of Education through grants ECO2008-04756, ECO2009-
11213, ECO2009-12836, Juan de la Cierva and Ramon y Cajal programs, FEDER, and
the Barcelona Economics Program of CREA is gratefully acknowledged.