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Título
A review of stochastic dominance methods for poverty analysis
Año del Documento
2019
Editorial
John Wiley & Sons Ltd.
Descripción
Producción Científica
Documento Fuente
Journal of Economic Surveys, Agosto 2019, p. 1-26
Abstract
Stochastic dominance techniques have been mainly employed in poverty analyses
to overcome what it is called the multiplicity of poverty indices problem. Moreover, in the
multidimensional context, stochastic dominance techniques capture the possible relationships
between the dimensions of poverty as they rely upon their joint distribution, unlike most
multidimensional poverty indices, which are only based on marginal distributions. In this paper,
we first review the general definition of unidimensional stochastic dominance and its relationship
with poverty orderings. Then we focus on the conditions of multivariate stochastic dominance and
their relationship with multidimensional poverty orderings, highlighting the additional difficulties
that the multivariate setting involves. In both cases, we focus our discussion on first- and secondorder
dominance, though some guidelines on higher order dominance are also mentioned. We also
present an overview of some relevant empirical applications of these methods that can be found in
the literature in both univariate and multivariate contexts.
Materias (normalizadas)
Pobreza - Métodos estadísticos
Materias Unesco
6310.08 Pobreza
1209.01 Estadística Analítica
ISSN
0950-0804
Revisión por pares
SI
Version del Editor
Propietario de los Derechos
John Wiley & Sons Ltd.
Idioma
eng
Tipo de versión
info:eu-repo/semantics/acceptedVersion
Derechos
openAccess
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