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      How Poor Are People With Disabilities? Evidence Based on the Global Multidimensional Poverty Index

      1 , 2
      Journal of Disability Policy Studies
      SAGE Publications

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          Abstract

          People with disabilities and their families have been recognized as a high-risk population for poverty. Although the number of studies analyzing the levels of poverty of this group has increased, there is still a lack of empirical evidence that establishes whether and how people with disabilities are significantly poorer than families with no disabled members. This study analyses the levels of multidimensional poverty of people living in households with members with disabilities in 11 low- and middle-income countries in different regions of the world, using the global Multidimensional Poverty Index (MPI). The results reveal that in five of the 11 countries people living in households with disabled members face higher levels of multidimensional poverty compared with people without disabilities. In addition, we found that differences between the levels of poverty were larger in middle-income countries than in low-income countries, revealing the existence of a development disability gap.

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          Multidimensional Poverty Measurement and Analysis

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            Disability and Poverty: the need for a more nuanced understanding of implications for development policy and practice

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              A Multidimensional Approach: Poverty Measurement & Beyond

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                Author and article information

                Journal
                Journal of Disability Policy Studies
                Journal of Disability Policy Studies
                SAGE Publications
                1044-2073
                1538-4802
                May 17 2020
                : 104420732091994
                Affiliations
                [1 ]Universidad de los Andes, Bogotá, Colombia
                [2 ]University of Oxford, UK
                Article
                10.1177/1044207320919942
                8db7a063-49b9-4942-b72d-e860da8ddb28
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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