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Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables

José Espinoza-Delgado () and Jacques Silber ()

No 237, Ibero America Institute for Econ. Research (IAI) Discussion Papers from Ibero-America Institute for Economic Research

Abstract: The Alkire and Foster (2011) methodology, as the mainstream approach to the measurement of multi-dimensional poverty in the developing world, is insensitive to inequality among the multidimensionally poor individuals and does not consider simultaneously the concepts of efficiency and distributive justice. Moreover, the vast majority of empirical indices of multi-dimensional poverty in the literature overlook intra-household inequalities, an issue that is crucial to a better understanding of gender inequalities, because they equate the poverty status of the household with the poverty status of all individuals in the household. Consequently, using the general framework proposed by Silber and Yalonetzky (2013) and Rippin’s ideas on multi-dimensional poverty measurement (2013, 2017), we propose in this paper to depart somehow from the mainstream approach and take an individual-based and inequality sensitive view of multi-dimensional poverty when only ordinal (dichotomized) variables are available. We use such an approach to estimate multi-dimensional poverty among individuals aged 18 and 59 years living in Guatemala, El Salvador, Honduras, Nicaragua, and Costa Rica, shedding thus some light on gender differences in poverty and inequality in those countries. Overall, we find that individuals living in Guatemala have the highest probability of being multidimensionally poor, followed by the ones from Nicaragua; people living in Costa Rica, by contrast, have by far the lowest probability of being poor. In the middle appears Honduras and El Salvador, Hondurans having a larger probability of being multi-dimensionally poor than the Salvadorians. Regarding the gender gaps, the overall estimates suggest that the incidence and the intensity of multidimensional poverty in Central America are higher among females; inequality, however, is somewhat higher among males.

Keywords: multi-dimensional poverty measurement; inequality; gender inequality; Latin America; Central America (search for similar items in EconPapers)
JEL-codes: I3 I32 D1 D13 D6 D63 O5 O54 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dev, nep-hme, nep-lam, nep-ltv and nep-pke
Date: 2018-09-27
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