2026-05-05T21:54:23Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/379482025-01-20T10:56:48Zcom_10324_1149com_10324_931com_10324_894col_10324_1274

00925njm 22002777a 4500 dc García Gómez, César author Pérez Espartero, Ana author Prieto Alaiz, María Mercedes author 2019 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. Journal of Economic Surveys, Agosto 2019, p. 1-26 0950-0804 http://uvadoc.uva.es/handle/10324/37948 10.1111/joes.12334 Journal of Economic Surveys 1467-6419 Pobreza - Métodos estadísticos A review of stochastic dominance methods for poverty analysis