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    Implementing a Group-Specific Multidimensional Poverty Measure: The Case of Persons with Disabilities in Peru
    (Routledge, 2020-10-01)
    We contribute to the literature on multidimensional poverty and people with disabilities by developing a group-specific, comprehensive, and policy-relevant measure of multidimensional poverty adapted to exploring deprivations within the group of persons with disabilities in Peru. Based on the Alkire-Foster method, we calculated multidimensional poverty estimates using data from the first Specialised National Survey on Disability in Peru collected in 2012. Our measure included eight dimensions, four of which were operationalised using disability-specific indicators, of which, in turn, three involved deprivation criteria specific to different categories of disability. Our results showed that 41.1% of the population with disabilities in Peru suffer deprivations in at least three out of the eight dimensions, whereas rural populations, women, indigenous peoples, persons with severe disabilities, and persons with communication disabilities face the highest levels of poverty. Additionally, we identified rural indigenous women as the poorest subgroup within the overall group of persons with disabilities in Peru with a poverty incidence of 88.1%. Our results suggested that eradicating multidimensional poverty among persons with disabilities in Peru will involve implementing reasonable accommodations to existing policies and creating new disability-specific policies focused on the poorest subgroups within this population.
    Scopus© Citations 15
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    Developing a comprehensive multidimensional wellbeing index based on what people value: An application to a middle-income country
    (Springer Science and Business Media B.V., 2022-12-01)
    We introduce a comprehensive policy-relevant measure of multidimensional wellbeing conceptually rooted in Amartya Sen’s capability approach and applied to a middle-income country: the Multidimensional Wellbeing Index for Peru (MWI-P). We design and collect a specialized survey in Peru in late 2018, which included data on wellbeing achievements across 12 dimensions, on the value that respondents place upon each of these dimensions, and on self-perceived freedom. Then, we utilize this information to set the weighting structure and select a wellbeing sufficiency threshold for the MWI-P, which we estimate using the capability-inspired Alkire–Foster method. Our results show that only 45.9% of the sample population live above the wellbeing threshold, which involves achieving sufficiency in at least seven out of the 12 weighted dimensions of the MWI-P. Subgroup analyses reveal that rural populations, women, and older adults are at a disadvantage compared with urban populations, men, and younger adults, respectively. These subgroups’ disparities hold valid if we introduce changes in the weighting structure or in the wellbeing sufficiency threshold. We argue that the MWI-P can inspire other low- and middle-income countries to reorient post-pandemic recovery policies from a focus on economic growth to a human flourishing approach based on what people value.