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AbstractThis study examines the effect of Social Security benefits received in old age on food security among older adults. Using repeated cross sections from the Panel Study of Income Dynamics and an instrumental variable approach to address the endogeneity between the decision to claim Social Security and household food security, we find that an increase in Social Security benefits or becoming a Social Security beneficiary significantly increases the probability of being food secure. Our results were robust to changes of the dependent variable or the endogenous variable but were sensitive to some of the expansions or contractions of the sample.

Functional limitations become more prevalent as populations age, emphasising an increasingly urgent need for assistive technology (AT). Critical to meeting this need trajectory is understanding AT access in older ages. Yet few publications examine this from a longitudinal perspective.
This review aims to identify and collate what data exist globally, seeking all population-based cohorts and repeated cross-sectional surveys through the Maelstrom Research Catalogue (searched May 10, 2022) and the Disability Data Report (published 2022), respectively. Datasets incorporating functional limitations modules and question(s) dedicated to AT, with a wave of data collection since 2009, were included.
Of 81 cohorts and 202 surveys identified, 47 and 62 meet inclusion criteria, respectively. Over 40% of cohorts were drawn from high-income countries which have already experienced significant population ageing. Cohorts often exclude participants based on pre-existing support needs. For surveys, Africa is the most represented region (40%). Globally, 73% of waves were conducted since 2016. 'Use' is the most collected AT access indicator (69% of cohorts and 85% of surveys). Glasses (78%) and hearing aids (77%) are the most represented AT. While gaps in data coverage and representation are significant, collating existing datasets highlights current opportunities for analyses and methods for improving data collection across the sector.

OBJECTIVES: In a context of rising income inequality and policies to improve rights and inclusion for persons with disabilities, this paper examines income inequality trends by household work limitation status in the United States from 1981–2018. METHODS: Data comes from the March Supplement of the Current Population Survey using the work limitation disability measure to estimate decomposable Generalized Entropy measures of income inequality, and progressivity of government transfers and disability payments. RESULTS: Over the 1981–2018 period, inequality within the group of households with work limitations has been around 30 percent higher than inequality within the group of households without work limitations. Both households with and without work limitations have seen a similar 70 percent rise in income inequality since 1981. Progressivity of government transfers and disability payments increased among households with limitations, but not among other households. CONCLUSIONS: Income inequality is higher within the group of households with work limitations compared to other households and has been rising for both groups. Policies aimed to enhance the economic and social participation of persons with disabilities over this period may have mitigated this rising trend. Disability considerations should be part of research and policy on income inequality.

Objective This article examines whether disability is a correlate of poverty when poverty is measured using (1) the official poverty measure; (2) the supplemental poverty measure (SPM); and (3) two multidimensional poverty measures created by the authors. Methods Data from the Current Population Survey are used to explore the relationship between poverty and disability for each measure. Differences across disability status were tested for statistical significance. Results Disability is associated with poverty, irrespective of the poverty measure under use. The gap in poverty rates between persons with and without disabilities is smaller when using the SPM as compared to the official poverty measure. The gap in poverty rates between persons with and without disabilities is highest when using multidimensional poverty measures. Conclusion Working-age persons with disabilities are more likely to be poor whatever the measure under use. They are a disadvantaged group in the United States. Adapted from the source document.

ObjectiveThis article examines whether disability is a correlate of poverty when poverty is measured using (1) the official poverty measure; (2) the supplemental poverty measure (SPM); and (3) two multidimensional poverty measures created by the authors.MethodsData from the Current Population Survey are used to explore the relationship between poverty and disability for each measure. Differences across disability status were tested for statistical significance.ResultsDisability is associated with poverty, irrespective of the poverty measure under use. The gap in poverty rates between persons with and without disabilities is smaller when using the SPM as compared to the official poverty measure. The gap in poverty rates between persons with and without disabilities is highest when using multidimensional poverty measures.ConclusionWorking‐age persons with disabilities are more likely to be poor whatever the measure under use. They are a disadvantaged group in the United States.