Publications

We examine whether long-term care (LTC) experience helps explain the low demand for long-term care insurance (LTCI). We test if expectations about future informal care receipt, expectations about inheritance receipt, and LTCI purchase decisions vary between individuals whose parents or in-laws have used LTC versus those who have not. We find parental use of a nursing home decreases expectations that one's children will provide informal care, consistent with the demonstration effect. Nursing home use by in-laws does not have the same impact, suggesting that individuals are responding to information gained about their own aging trajectory. Nursing home use by either a parent or in-law increases LTCI purchase probability by 0.8 percentage points, with no significant difference in response between parents' and in-laws' use. The estimated increase in purchase probability from experience with LTC is about half the previously estimated increase from tax policy-induced price decreases.

While it has long been assumed that family structure and potential sources of informal care play a large role in the purchase decisions for long-term care insurance (LTCI), current empirical evidence is inconclusive. Our study examines the relationship between family structure and LTCI purchase and addresses several major limitations of the prior literature by using a long panel of data and considering modern family relationships, such as presence of stepchildren. We find that family structure characteristics from one’s own generation, particularly about one’s spouse, are associated with purchase, but that few family structure attributes from the younger generation have an influence. Family factors that may indicate future caregiver supply are negatively associated with purchase: having a coresidential child, signaling close proximity, and having a currently working spouse, signaling a healthy and able spouse, that LTC planning has not occurred yet, or that there is less need for asset protection afforded by LTCI. Dynamic factors, such as increasing wealth or turning 65, are associated with higher likelihood of LTCI purchase.

To examine the financial characteristics of residents in assisted living and independent living communities and to see how they currently pay for their care arrangements, we surveyed 2,617 residents in assisted living and independent living communities. We asked them how they pay for their current costs and verified their answers by examining self-reported information on their cost and income. Residents stated that they are largely paying for their community costs independently. Approximately one third of respondents reported using their assets and income to cover their current costs. The data supported the notion that individuals living in assisted living and independent living communities are largely mid- to high-income elderly. However, the cross-sectional analysis showed that length of time in the community was positively associated with paying for their expenses independently out of income, after controlling for many confounders including age, education, and lifetime earnings to try to rule out differential longevity and differential selection over time. Further longitudinal analysis is needed to understand the cause and the implications of the positive correlation between ability to pay one's bills out of income and the length of time in the community before conclusions about spend-down can be made.

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.

Disability Insurance waiting time varies from a few months to several years. We estimate the causal effect of longer waiting times on the use of five financial coping strategies. We find that SNAP benefits are the most responsive to longer waiting times. Moreover, while spousal employment is not responsive to longer wait times, spousal employment leads to longer waiting times, presumably because these applicants are more able to appeal. Together, these results suggest that coping strategies are used to both help applicants during the wait time and to extend the waiting time and increase their probability of success.