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Item type:Publication, 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, On the robustness of multidimensional counting poverty orderings(Springer, 2020-09-01)Abstract Counting poverty measures have gained prominence in the analysis of multidimensional poverty in recent decades. Poverty orderings based on these measures typically depend on methodological choices regarding individual poverty functions, poverty cut-offs, and dimensional weights whose impact on poverty rankings is often not well understood. In this paper we propose new dominance conditions that allow the analyst to evaluate the robustness of poverty comparisons to those choices. These conditions provide an approach to evaluating the sensitivity of poverty orderings superior to the common approach of considering a restricted and arbitrary set of indices, cut-offs, and weights. The new criteria apply to a broad class of counting poverty measures widely used in empirical analysis of poverty in developed and developing countries including the multidimensional headcount and the adjusted headcount ratios. We illustrate these methods with an application to time-trends in poverty in Australia and cross-regional poverty in Peru. Our results highlight the potentially large sensitivity of poverty orderings based on counting measures and the importance of evaluating the robustness of results when performing poverty comparisons across time and regions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Does multidimensional poverty affect depression? Evidence from Peru(SAGE Publishing, 2021-11-13)The number of people in low- and middle-income countries who suffer from depression is increasing, and a significant proportion of people in these countries live in poverty. We estimated the effect of living in multidimensional poverty on experiencing symptoms associated with major depression using the 2018 Peruvian Demographic and Health Survey. We used an instrumental variables approach to overcome the potential endogeneity bias caused by the simultaneous relationship between multidimensional poverty and depression. We found that living in multidimensional poverty significantly increases depression symptom severity. This has urgent policy implications for low- and middle-income countries with limited provision of mental health services. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Digital poverty(Elsevier, 2024-01-01)The concept of poverty has been extensively discussed over the years. Since the emergence of the multidimensional poverty concept, emphasis has begun to be placed on certain dimensions that make it up. Given that the exponential advancement of technology has transformed the way the world works, it is relevant to discuss the concept of poverty in the digital sphere. The objective of this entry is to carry out a critical analysis of the literature developed on digital poverty, its background, the factors that compose it, and its relationship with multidimensional poverty. The document concludes by arguing that digital poverty extends beyond the inaccessibility of technological devices since other social variables are also relevant in its definition. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing and implementing an older people-specific multidimensional poverty measure: An application to a middle-income country(Elsevier BV, 2025-06-01)We contribute to the literature on poverty measurement in older age in low- and middle-income countries by designing and implementing a comprehensive and policy-relevant older people-specific multidimensional poverty index based on the Alkire-Foster method, estimated using data from four waves of Peru's national household survey (2018, 2019, 2022, and 2023). Our measure includes 15 indicators spanning seven dimensions: social connectedness, knowledge, health, employment and social protection, shelter, water and sanitation, and energy. We set a referential threshold that identifies an older individual as multidimensionally poor if they experience deprivations in at least three out of seven dimensions of our measure. Our results show that multidimensional poverty incidence among older people in Peru has decreased by 8.6% between 2018 and 2023 but remains high at 35%. Older women, older people living in rural areas, older indigenous people and older people with disability are multidimensionally poorer than their counterparts, with deprivations contributing the most to multidimensional poverty varying across subgroups and subnational regions. Our findings can guide policymakers in prioritising resource allocation by identifying key deprivations to reduce multidimensional poverty among older adults. We estimate that 23% of the older population experience multidimensional but not monetary poverty, highlighting the complementarity of these approaches. Additionally, we find 12% of older people living in multidimensional and monetary poverty simultaneously, rising to 30% in rural areas. Our study bridges the most up-to-date conceptual and empirical literature on multidimensional poverty with the literature on poverty measurement in older age in low- and middle-income countries.5