Aging

Low take-up by elderly Americans in most means-tested federal programs is a persistent and puzzling phenomenon. This paper seeks to measure the causal effect of the benefit levels on elderly enrollment in two public assistance programs – the Supplemental Nutrition Assistance Program (SNAP) and the Supplemental Security Income (SSI) program – by using the variation in SNAP and SSI eligibility and benefit levels introduced by Social Security retirement benefits. Our findings are three-fold. First, the low take-up among the elderly is not driven by changes in the composition of the eligible pool: individuals who become eligible as they age exhibit average take-up patterns that are similar to those who were eligible before reaching Social Security benefit claiming ages. Second, Social Security has a significant impact on the use of public assistance programs among the elderly, because the increase in income decreases the potential benefits available from public programs. Third, we estimate different behavioral responses to SNAP and SSI programs: a $100 increase in SSI benefits leads to a 4-6-percentage-point increase in the probability of taking up SSI, but we are unable to estimate consistent results on how benefits impact the take up for SNAP. Together with the fact that eligible individuals who begin receiving Social Security benefits continue to participate in SSI more often than they maintain SNAP enrollment, we posit that the different estimated behavioral responses could be due to individual preferences for cash over in-kind transfers.

Studies of Alzheimer's disease typically include "study partners" (SPs) who report on participants' cognition and function. Prior studies show SP reports differ depending on the relationship between the SP and participant, that is, spouse or adult child. Adult children SPs are typically female. Could differing reports be due to gender? Knowing this may help explain variability in measurement.

Older adults needing assistance with activities of daily living can receive support in various settings. Senior housing communities, such as independent living, assisted living, and continuing care retirement communities, are an increasingly popular option for adults not requiring nursing home-level care. However, limited research exists due to a dearth of data on these types of communities. We use a proprietary data set to describe the market of private pay senior housing and community-level characteristics in 140 metropolitan statistical areas, from 2015 to 2019. Although the number of senior housing communities increased substantially, the supply of senior housing options supporting the continuum of care has not necessarily kept up with population growth. Describing the supply of senior housing communities across the spectrum of levels of care provides a more complete description of the formal noninstitutional long-term care supply among the 140 most populated metropolitan statistical areas.

Objectives: We assessed the relationships between pre- and post-morbid consumer credit history (credit scores, debts unpaid, or in collections) and classification of mild (or greater) cognitive impairment (MCI). Methods: Generalized Estimating Equation models assessed pre-and post-morbid credit history and MCI risk among 1740 participants aged 65+ in the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study, linked to TransUnion consumer credit data. Results: Each 50-point increase in credit score was associated with up to 8% lower odds of MCI in the next 3 years. In contrast, new unpaid collections over doubled the odds of having MCI in the next 3 years. MCI was associated with subsequent credit score declines and a 47%–71% greater risk of having a new unpaid collection in the next 4 years. Discussion: Credit declines may signal risk for future MCI. MCI may lead to financial challenges that warrant credit monitoring interventions for older adults.