RT info:eu-repo/semantics/article
T1 A review of stochastic dominance methods for poverty analysis
A1 García Gómez, César
A1 Pérez Espartero, Ana
A1 Prieto Alaiz, María Mercedes
K1 Pobreza - Métodos estadísticos
K1 6310.08 Pobreza
K1 1209.01 Estadística Analítica
AB Stochastic dominance techniques have been mainly employed in poverty analysesto overcome what it is called the multiplicity of poverty indices problem. Moreover, in themultidimensional context, stochastic dominance techniques capture the possible relationshipsbetween the dimensions of poverty as they rely upon their joint distribution, unlike mostmultidimensional poverty indices, which are only based on marginal distributions. In this paper,we first review the general definition of unidimensional stochastic dominance and its relationshipwith poverty orderings. Then we focus on the conditions of multivariate stochastic dominance andtheir relationship with multidimensional poverty orderings, highlighting the additional difficultiesthat the multivariate setting involves. In both cases, we focus our discussion on first- and secondorderdominance, though some guidelines on higher order dominance are also mentioned. We alsopresent an overview of some relevant empirical applications of these methods that can be found inthe literature in both univariate and multivariate contexts.
PB John Wiley & Sons Ltd.
SN 0950-0804
YR 2019
FD 2019
LK http://uvadoc.uva.es/handle/10324/37948
UL http://uvadoc.uva.es/handle/10324/37948
LA eng
NO Journal of Economic Surveys, Agosto 2019, p. 1-26
NO Producción Científica
DS UVaDOC
RD 26-abr-2024