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Later-Life Household Wealth Before and After Disability Onset

Publication Date
Authors
Richard W. Johnson
Urban Institute

Printer Friendly Version in PDF Format (52 PDF pages)


ABSTRACT

To assess the financial impact on families of LTSS needs and the potential for families to set aside funds to cover future LTSS spending, this brief examines later-life household wealth before and after disability onset. We followed over time a large sample of older adults who did not have any functional limitations at baseline, comparing the distribution and composition of household wealth for those who did and did not develop severe disabilities, experience extended nursing home stays, and receive Medicaid-financed nursing home care.

DISCLAIMER: The opinions and views expressed in this report are those of the authors. They do not necessarily reflect the views of the Department of Health and Human Services, the contractor or any other funding organization.


 

Many older adults face financial challenges. Retirement typically results in a drop in income, and perhaps a lower standard of living. At the same time, the need for health (and possibly long-term care) services increases, often due to disability. Social programs reduce poverty among older adults. Social Security and Supplemental Security Income provide income support, while Medicare and Medicaid provide health and long-term care services. Despite these programs, life can be precarious for many older adults. Social Security, which is the major or only source of income for most older Americans, depends on prior earned income and work history. Medicare does not cover all services, and significant copayments are charged for most that are covered. Medicaid is severely means-tested, and eligibility and benefits vary extensively across states.

Disability does not appear to occur randomly, and the ability of the elderly to obtain and finance care appears to be more limited for those who actually develop disabilities. People may wish to save as a means to handle retirement expenses, but those with low incomes and significant family responsibilities may have difficulty accumulating any meaningful savings. Without savings those with long-term care needs may rely on informal care by family and friends, but Medicaid is likely to be their only recourse if they require formal (paid) services.

For those with some savings, perhaps including home equity, the question becomes how to access formal services if they are needed. Depending on what services are required (e.g., 24/7 care in a nursing home or assisted living facility or variable amounts of home help) and for how long, the cost of paid care varies considerably. Nursing home care is the most expensive, but even less expensive home care may be unaffordable if elders are spending all of their monthly income on basic living expenses, and need to preserve sufficient savings to cover home repairs and other contingencies.

Pre-funding, with or without some form of collective risk sharing, might lessen the likelihood of being unable to afford care in the community--which most people would choose if they could. Access to community care also reduces the risk of long-stay nursing home care and spending down to Medicaid. However, those who live long enough are likely to need the higher level of care that nursing homes provide. Tax-preferred savings vehicles for long-term care are one option for pre-funding, but they would limits savings that could be used for other purposes. Pre-funding with risk sharing decreases the amount each individual seeking protection must contribute, and provides more coverage for those who actually use services. One method of sharing risk is through voluntary purchase of private long-term care insurance (LTCI), but that is available only to those who are healthy enough to pass underwriting.

Alternatively, tax-funded government-sponsored programs can provide universal protection, but only if participation is mandatory. Because comprehensive coverage that protects against all long-term care risk is prohibitively expensive, the challenge is to determine what portion of the risk could be covered by public or private insurance, and what portion would remain an out-of-pocket liability. This project provides information on the risk of disability in relation to wealth in order to better understand the cost and impact of possible policy options.

To assess the financial impact on families of long-term services and supports (LTSS) needs and the potential for families to set aside funds to cover future LTSS spending, this report examines later-life household wealth before and after disability onset. We followed over time a large sample of older adults who did not have any functional limitations at baseline, comparing the distribution and composition of household wealth for those who did and did not develop severe disabilities, experience extended nursing home stays, and receive Medicaid-financed nursing home care.

Our results, based on more recent survey data and longer observation periods than previous studies, show that household wealth and home equity fell sharply when older adults developed severe disabilities or received nursing home care. Older adults with extended nursing home stays and those who received Medicaid-financing nursing home care had substantially less wealth than those who did not enter a nursing home many years before they began receiving care, suggesting that proposed policies designed to encourage people to pre-fund future LTSS expenses may have limited impact because they will be unable to target those with the highest expenses.

 

Background

The prospect of becoming disabled and needing LTSS is perhaps the most significant risk facing older Americans. Favreault and Dey (2015) estimate that about one-half of today's 65-year-olds will eventually need substantial amounts of LTSS, and one in seven will need help for five or more years. Most will receive informal help from family and friends (Wolff et al. 2016), but increasing numbers of older Americans will receive home care from paid helpers, and many will end up in nursing homes (Johnson, Toohey, and Weiner 2006).

However, the percentage of older Americans residing in nursing homes at a given time has declined. Nursing home use grew rapidly in the 1960s, 1970s, and early 1980s. The number of nursing home residents grew much more slowly after 1985, peaked at 1.6 million in 1997-1999, and then fell to 1.4 million in 2004 (National Center for Health Statistics 2005), despite 20 percent growth between 1985 and 2004 in the number of Americans ages 65-85 and 80 percent growth in the numbers of "oldest-old" Americans living beyond age 85. As of 2013, the number of Americans residing in nursing homes remained at 1.4 million (Harris-Kojetin et al. 2013).

Nevertheless, nursing home care remains a common feature of later-life. Analyses of Health and Retirement Study (HRS) data indicate that 27 percent of Americans ages 50 and older who died between 1992 and 2006 were residing in nursing homes at death. Their average length of stay prior to death was a little more than one year (13.7 months), but their median length of stay was only five months (Kelly et al. 2010). One-half of nursing home residents in the highest net-worth quartile of net worth spent no more than three months in a nursing home, whereas one-half of residents in the lowest net-worth quartile spent at least nine months in a nursing home.

At the same time, residency in assisted living and other forms of elder housing with services has soared since the early 1990s, exceeding the reduction in nursing home use (Spillman and Black 2006; Spillman, Liu, and McGilliard 2002). In 2011, 5.5 percent of the United States population ages 65 and older who were not living in nursing homes resided in such alternative residential elder care settings (Freedman and Spillman 2014). These residential care settings are less "institutional" in character and cost less, on average, than nursing home care, but many of these options--especially those most likely to offer high levels of service that can substitute for nursing home care--cater predominantly or exclusively to private payers. According to Greene et al. (2013), only about 19 percent of residents in elder care facilities other than nursing homes had Medicaid as a payer source. As Waidmann and Thomas (2003) note, even when these facilities accept Medicaid payment, Medicaid will cover only "service" costs, not room and board charges, creating financial difficulties for lower-income residents. Waidmann and Thomas found that, after they controlled for health-related factors, high-income people are significantly less likely to enter nursing homes than lower-income people, suggesting that high-need individuals who do not rely on Medicaid may be better able to find nursing home alternatives, such as assisted living and home care. Their finding may also indicate that higher-income elders have less need for the high level of care that nursing homes can provide.

Many older adults who have some LTSS needs but do not need round-the-clock care remain at home and rely on unpaid caregivers, typically spouses and adult children, especially daughters. Paid home care is available, but it is not especially common. In the 2004 National Long-Term Care Survey, only about one-third of chronically disabled elders living in the community had received any paid home care during the preceding week.1 Disabled elders who relied exclusively on paid home care were generally less disabled and received fewer total hours of home care than those who relied on informal care only or a combination of formal and informal care.

LTSS provided in residential care settings, especially in nursing homes, is quite expensive. Estimates from a 2015 survey of private pay residential care facilities found that the median cost was about $80,000 for a semi-private room in a nursing home and about $43,000 for a private room in an assisted living facility (Genworth 2015). Medicare covers only short-term, post-hospital skilled nursing facility stays (averaging 21 days) and does not cover assisted living care at all (although Medicare certified home health agencies are permitted to provide Medicare home health services to assisted living residents).

Paid home care is generally less expensive than residential LTSS primarily because people can control how much they receive and rarely use it every day or round-the-clock. The median cost of home care agency aide services is $20 an hour (Genworth 2015). This hourly cost results in an expected annual cost of about $42,000 for care recipients who receive 40 hours of aide services per week, only slightly less than the average cost of assisted living residential care. However, most users of paid aide services receive much less care from home care agency aides because they rely heavily on unpaid caregivers.

Somewhat paradoxically, however, the out-of-pocket cost of paid home care is often less affordable than residential LTSS because residential care charges cover housing, food, and other basic living expenses that home care users must pay separately. Moreover, people can generally afford to use home equity to pay for LTSS when they move into nursing homes or assisted living residences. However, tapping into home equity to pay for care is problematic when people remain in their homes. Using liquid savings to help pay for home care is also often difficult because homeowners must reserve some savings to cover contingencies such as expensive home repairs that may arise.

Private LTCI pay-outs provide reasonably comprehensive coverage for residential care, covering about 80 percent of daily nursing home costs and almost all assisted living costs (Doty et al. 2010). They also paid for almost all in-home services that claimants used. This should make private LTCI very attractive to those who can afford to pay the premiums. But LTCI market penetration has reached only 11 percent of the older population (Johnson 2016). Moreover, the market has been shrinking, especially since the 2007 financial crisis, because the combination of low interest rates paid on investments (the major source of profit for insurers) and higher than anticipated pay-outs to claimants with lifetime coverage forced long-term care insurers to raise premiums substantially (Cohen 2016). Consumer surveys indicate that people are reluctant to purchase LTCI for several reasons: they under-estimate future LTSS costs, erroneously believe that Medicare or standard health insurance will cover much of their expenses, do not trust insurance companies, and--the reason most often cited--judge premiums to be too high (Associated Press-NORC Center for Public Affairs Research 2015; Brown, Goda, and McGarry 2012; Wiener et al. 2015).

An important drawback of voluntarily purchased private LTCI is that the danger of adverse selection requires insurers to subject applicants to medical underwriting. About 20 percent of applicants are rejected, a figure that does not include those who did not even apply for coverage because they expected to be turned down on the basis of their medical histories (Doty and Shipley 2012). In recent years, private insurers have increasingly tightened underwriting requirements (Skloff 2015). Although this helps insure the solvency of private LTCI, it denies coverage to those most likely to need LTSS.

Medicaid is the single largest source of funding for formal LTSS. Although exact estimates vary, Medicaid currently pays more than $100 billion a year for LTSS, covering 40-60 percent of the nation's LTSS costs (Congressional Budget Office 2013; Kaiser Family Foundation 2013; O'Shaughnessy 2014). According to a recent study, Medicaid covers about two-thirds of nursing home residents ages 65 and older (Spillman and Waidmann 2015). Many older people with LTSS needs transition on to Medicaid as they spend their savings on LTSS expenses, although estimates of the frequency of such transitions vary. Wiener et al. (2013) found that over a ten-year period 10 percent of people ages 50 and older who were not initially on Medicaid transitioned on to the program. However, half of newly covered older adults did not receive any LTSS, so their transition cannot be attributed to high LTSS costs. Spillman and Waidmann (2015) estimate that 5 percent of people ages 65 and older who were not on Medicaid in 2004 transitioned on to Medicaid by 2008, with half of transitions occurring among people living in the community, not in nursing homes.

Estimates of the lifetime risk of receiving Medicaid payments for nursing home care after age 65 based on HRS data found significant differences by age, sex, race, and educational attainment (Johnson forthcoming). For example, the likelihood of receiving any Medicaid-funded nursing home care after age 65 was 29 percent for elders without high school diplomas, 17 percent for those whose highest degree was a high school diploma, and 7 percent for those with college degrees. The likelihood of having a Medicaid-financed nursing home stay of 90 days or more was lower and also varied by educational level: 20 percent for elders who did not graduate from high school, 13 percent for those with high school diplomas only, and 5 percent for college graduates.

Relatively few public resources are devoted to home care, however. According to unpublished estimates from the 2004 NLTCS, only 23 percent of chronically disabled elders relying exclusively on formal care received any publicly-funded services and only 12 percent received Medicaid-funded home and community-based services (HCBS).2 Of those receiving a combination of formal and informal services, 66 percent received no publicly-funded services and 10 percent received Medicaid-funded HCBS.

Medicaid's predominant role in financing LTSS has raised concerns about the program's sustainability as the population ages and Medicaid expenditures grow. The Commission on Long-Term Care (2013), for example, suggested that long-term care financing should be reformed because the baby boomers' LTSS needs will severely strain Medicaid. The program's reliance on a combination of federal and state funding adds to its financial uncertainty. Complaints from state policymakers about the budgetary burden of Medicaid intensified during the 2007-2009 Great Recession and its aftermath as high unemployment raised demand for Medicaid-funded medical care and reduced tax revenues. Complicating matters, most state constitutions prohibit deficit financing. In contrast to Medicaid medical services, demand for Medicaid-funded LTSS is driven more predictably by disability rates and the growth of the older population. However, because states are not required to provide Medicaid LTSS benefits other than nursing home care, these benefits could be dropped or cutback during recessions. In fact, states have been permitted to establish waiting lists for HCBS funded under 1915(c) waivers. Nevertheless, it appears that few states reduced spending on HCBS during the Great Recession and many continued efforts to increase the percentage of Medicaid LTSS spending going toward HCBS.

Not all health economists agree that the baby boomers' LTSS needs will undermine Medicaid. Kronick and Rousseau (2007), for example, projected that population aging will only modestly raise Medicaid costs and that growth in government revenues will be large enough to sustain Medicaid cost increases and substantial spending growth on other services. The Congressional Budget Office (2015) projects that total Medicaid spending as a share of gross domestic product will rise modestly between 2015 and 2040, from 2.2 percent to 2.9 percent. Moreover, the share of Medicaid expenditures going to LTSS fell from 50 percent in 1982 to less than one-third in 2012, even as the population aged. The LTSS share declined because very costly state institutions for the intellectually developmentally disabled closed, technology-driven medical cost inflation outstripped LTSS cost inflation, and Medicaid expanded to cover additional nonelderly populations such as children (State Children's Health Insurance Program) and the low-income medically uninsured (2010 Affordable Care Act).

Arguably, however, what sets elderly Medicaid LTSS users apart from other Medicaid beneficiaries in the minds of many proponents of LTSS financing reform is the possibility that some of them could have avoided relying on Medicaid for LTSS if they had planned ahead. Indeed, because some Medicaid LTSS users do not come from the ranks of the lifetime poor, some analysts have expressed concern that wealthy, high-income elders may have qualified for Medicaid-financed LTSS through "artificial impoverishment" by transferring assets to their children (Borella, De Nardi, and French 2016; Warshawsky 2014).

Federal law requires states to delay Medicaid eligibility for applicants who transferred significant assets over the previous five years, but it's not clear how often those penalties are imposed (Government Accountability Office 2005). An Urban Institute study of asset transfers from elders to children based on longitudinal analyses of HRS data found that the largest dollar amounts transferred to children occurring prior to nursing home use were made by elders who paid privately for their entire subsequent nursing home stays (Waidman and Liu 2006). The study also concluded that the most aggressive enforcement of asset-transfer prohibitions and penalties would yield Medicaid savings of only 1 percent (not counting the costs of enforcement). Baird, Hurd, and Rohwedder (2014) found that older people who expected to enter a nursing home were more likely to transfer wealth to their children than older people who did not expect to enter a nursing home. However, the financial amounts transferred were relatively small, and the observed relationship between asset transfers and nursing home entry disappeared after 2005, when Congress extended the required look-back period for asset transfers from three years to five years. Moreover, Wiener et al. (2013) found that survey respondents who eventually qualified for Medicaid were only about half as likely to transfer assets to their children as respondents who did not qualify for Medicaid.

States are required to recover Medicaid LTSS expenses from the estates of deceased recipients aged 55 and older after any surviving spouses have died (U.S. Department of Health and Human Services 2005), and homes are not exempt, perhaps reducing incentives for older adults to hold much of their wealth in home equity. One recent study, in fact, found that older adults were about a third less likely to own their homes at death after states adopted estate recovery programs (Greenhalgh-Stanley 2012). Most states have been able to recover only a small portion of their Medicaid LTSS expenditures (Wood and Klem 2007), although this may be because the home had previously been sold and equity value used to pay privately for nursing home care. It is impractical for long-stay nursing home residents on Medicaid to retain their homes because Medicaid does not leave nursing home residents with enough personal financial resources to pay property taxes, homeowner's insurance, or meet other financial obligations of homeownership.

Many older adults who develop LTSS needs experience financial hardship. Older adults with health problems tend to have less wealth than healthier older adults, and wealth tends to fall when people develop health problems (Poterba, Venti, and Wise 2010). One study, for example, found that over a nine-year period median household wealth grew 20 percent for married people ages 70 and older who did not receive nursing home care, but fell 21 percent for their counterparts who received nursing home care; for single people who received nursing home care, median household wealth fell 74 percent (Johnson, Mermin, and Uccello 2006). Venti and Wise (2004) found that home equity does not decline much at older ages, except when homeowners become widowed or enter a nursing home.

Policymakers and advocates have tried for decades to improve the way LTSS is financed, in order to protect people from catastrophic expenses, make it easier to obtain paid help at home, and reduce Medicaid LTSS spending. Earlier unsuccessful efforts include the U.S. Bipartisan Commission on Comprehensive Health Care (1990), also known as the Pepper Commission after its first chair, Rep. Claude Pepper (D-FL), the Clinton Administration's 1993 health reform plan (Wiener, Estes, Goldenson, and Goldberg 2001), and the 2010 Affordable Care Act, which included the never-implemented Community Living Assistance Services and Supports Act that would have created a national program of voluntary LTCI. More recently, the Bipartisan Policy Center (2016) and the Long-Term Care Financing Collaborative (2016) have proposed LTSS financing reforms that combine public insurance for catastrophic LTSS costs with initiatives to promote private LTCI coverage for other LTSS expenses to encourage families to pre-fund some of their future expenses. To assess these proposals, we need better information about household wealth trajectories before and after disability onset.

 

Data

Our data come from the HRS, a longitudinal survey of older Americans conducted by the Survey Research Center at the University of Michigan. The HRS began interviewing a sample of 12,652 respondents in 1992, consisting of adults ages 51-61 and their spouses, with follow-up interviews in 1994 and 1996. In 1993, it began interviewing another sample of 8,222 respondents, consisting of adults age 70 and older and their spouses, with a follow-up interview in 1995. In 1998, the HRS merged the two samples and added new samples of respondents ages 51-56 and ages 67-74, so that the 1998 sampling frame consisted of adults ages 51 and older. HRS respondents have been interviewed every other year since 1998, and the survey adds a new sample of respondents ages 51-56 every six years (most recently in 2010). Our study uses survey responses through 2012, the most recent year with finalized data.

All respondents live in the community, not in nursing homes, when first interviewed, but the HRS follows them into nursing homes as necessary. Proxy responses are solicited from spouses and other close relatives when respondents are living in nursing homes or otherwise unable to respond themselves. The HRS also collects information from next of kin after respondents die, providing information about disability and care received in the last months of life.

The HRS collects detailed information on household wealth and disability status. Our total household wealth measure consists of housing wealth, financial wealth, and other household wealth. Housing wealth includes the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit).3 Financial wealth includes the value of employer sponsored retirement accounts; Individual Retirement Accounts (IRAs); Keoghs; stocks; mutual funds; investment trusts; bonds; bond funds; certificates of deposit (CDs); government savings bonds; treasury bills; checking, savings, and money market accounts; and other savings, net of nonhousing debt. Other household wealth includes the net value of businesses, vehicles, and real estate (except for primary and secondary residences). We used imputed wealth values when respondents did not report complete information.4 Our analysis adjusted the measures of household wealth for differences in household size. For married adults, whose resources must cover two spouses, we divided household wealth by 1.41--the square root of 2. We did not divide by two because married couples generally have lower living expenses than two single adults living alone (Citro and Michael 1995). We report household wealth in inflation-adjusted 2015 dollars (based on changes in the consumer price index).

Each wave the HRS asks respondents about functional limitations. We classified respondents as having a limitation if they reported any difficulty because of a physical, mental, emotional, or memory problem with activities of daily living (ADLs) or instrumental activities of daily living (IADLs). ADLs include getting in and out of bed, dressing, walking across a room, bathing or showering, eating, and using the toilet. IADLs include using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. The HRS asks respondents to consider only limitations expected to last at least three months. We classified respondents who reported that they did not engage in a particular IADL, such as preparing hot meals, as having a limitation only if they said that they did not perform that activity because of a health problem. Survey questions about ADLs and IADLs differed in 1992, 1993, and 1994 from later waves, so our analysis of disability onset began with the 1995 wave.

The HRS also asks respondents about nursing home care, including how many nights they spent in a nursing home over the past two years or since the previous wave and whether Medicaid covered any of the costs. Because many older people receive nursing home care in the last months of their life, we also used data from exit interviews for deceased respondents. We identified respondents who ever received at least 90 days of nursing home care between two interview waves (or between their last full interview and their death), to distinguish longer-term residents from shorter-term residents who most likely entered a nursing home for rehabilitative care and may not need long-term care.5 We also identified respondents who received Medicaid-financed nursing home care, regardless of length of stay.

 

Methods

We examined how total household wealth and its components vary by disability status, receipt of nursing home care, and receipt of Medicaid-financed nursing home care. We compared wealth at different points of the distribution--the 10th, 25th, 50th, 75th,and 90th percentiles--as well as the mean value.6 The analysis considered respondents' own disability status and care receipt as well as the status of their spouse, because spousal care needs may reflect and influence household wealth levels as much as own care needs. Much of the analysis focused on severe disabilities, which we defined as the presence of two or more ADL limitations, the standard set by the Health Insurance Portability and Accountability Act for receiving tax-free benefits from a LTCI policy. Results are summarized graphically in the body of the report; full results are available in the Appendix.

TABLE 1. Presence of Own or Spousal Disabilities by Age and Marital Status, 2012
(%) (adults living in the community)
  Own Own or Spouse
Any ADL or
IADL Limitations
Two or More
ADL Limitations
Any ADL or
IADL Limitations
Two or More
ADL Limitations
All
   65 and older 28 10 38 14
   65-74 22 7 32 11
   75-84 31 11 41 15
   85 and older 49 23 55 27
Unmarried
   65 and older 36 14 36 14
   65-74 28 10 28 10
   75-84 37 13 37 13
   85 and older 53 27 53 27
Married
   65 and older 23 7 39 14
   65-74 19 5 34 11
   75-84 27 9 45 17
   85 and older 41 17 61 29
SOURCE: Author's computations from the 2012 HRS.
NOTES: Estimates were based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. The analysis classified respondents as having an ADL limitation if they reported any difficulty dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

We first compared household wealth for a sample of 10,296 adults ages 65 and older living in the community in 2012 with and without disabilities. Overall, 28 percent of our sample reported at least one ADL or IADL limitation, and 10 percent reported two or more ADL limitations (Table 1). Disability rates increase with age, and are higher among unmarried adults than married adults. For example, 23 percent of adults ages 85 and older reported two or more ADL limitations, including 17 percent of married adults and 27 percent of unmarried adults. Disability was more common at older ages when we factored in spousal limitations. For example, 14 percent of adults ages 65 or older living in the community reported two or more ADL limitations or have a spouse who reported two or more ADL limitations.

To see whether older adults who eventually developed disabilities had limited wealth even before disability onset, we also created a sample of adults with no disabilities at the beginning of the HRS survey, and compared wealth for those who ever reported disabilities and those who did not. We created two samples: one included 3,081 adults ages 51-59 in 1992 who did not report any ADL or IADL limitations or work-related disabilities that year and the other included 2,459 adults ages 70-75 who did not report any ADL or IADL limitations that year. We followed each respondent until 2012 or until they died or dropped out of the survey for other reasons. In 2012, the younger sample ranged from ages 71-79, while the older sample ranged from ages 89-94. For the older sample, we also examined how wealth varies by later receipt of extended nursing home care and Medicaid-financed nursing home care.7

For some comparisons, we further restricted the sample to adults who did not report any disabilities for several years, to investigate wealth differences long before disability onset. We restricted the younger sample to respondents who did not report any ADL or IADL limitations before the 2004 interview and thus did not have any disabilities for at least ten years after the baseline interview.8 We restricted the older sample to respondents who did not report any ADL or IADL limitations before the 2002 interview and thus did not have any disabilities for at least seven years after the baseline interview.

Finally, to trace wealth trajectories before and after disability onset and nursing home entry, we estimated ordinary least squares regressions of total household wealth and housing wealth on two samples of HRS respondents. One sample pooled 26,763 observations from 1992 to 2012 on respondents ages 51-59 in 1992 who did not report any work disabilities or any ADL or IADL limitations in 1992 and whose spouse (if married) did not report any disabilities or limitations in 1992. The second sample pooled 14,718 observations from 1993 to 2012 on respondents ages 70-75 in 1993 who did not report any ADL or IADL limitations in 1993 and whose spouse (if married) did not report any limitations in 1993. Because housing and total household wealth distributions are skewed, the regressions used the natural logarithm of total household wealth and housing wealth as dependent variables.9

One set of regressions, estimated for both age groups, included an indicator for the onset of two or more ADL limitations by respondents or their spouse and indicators for each wave preceding disability onset and each wave following onset. The coefficients for these indicators, when properly transformed, show at each wave how wealth for respondents who developed disabilities (or whose spouse developed disabilities) compares, in percentage terms, with wealth for respondents who never developed disabilities.10 The regressions also controlled for age and year, which both affect wealth levels. For example, household wealth generally decreases as older people age, and housing and stock market crashes reduced wealth in the later 2000s. Alternative model specifications added controls for sex, education, marital status, and race and ethnicity.

For the older sample, we also estimated two alternative sets of regressions. Instead of including indicators for the onset of two or more ADL limitations, the first alternative included indicators for the first wave in which a respondent or spouse received 90 or more days of nursing home, and the second alternative included indicators for the first wave in which a respondent or spouse received Medicaid-financed nursing home care.

 

Wealth of Older Adults with Disabilities

Older adults with disabilities had much less wealth than older adults without disabilities. In 2012, median total household wealth for community-dwelling adults ages 65 and older was $94,200 (in 2015 inflation-adjusted dollars) for those who had two more ADL limitations or whose spouse had two or more ADL limitations, $130,600 for those who had at least one ADL or IADL limitation or whose spouse had at least one limitation, and $263,200 for those who had no limitations and whose spouse (if married) had no limitations (Figure 1). Twenty-five percent of older adults who had two or more ADL limitations or whose spouse had two or more ADL limitations had less than $15,000 in total household wealth (the 25th percentile of the distribution), and 12 percent had no household wealth at all (Table A-1). Patterns were similar when we considered only a respondent's disability status, ignoring spousal disability (Table A-1).

Unmarried older adults with disabilities held even less wealth. Median total household wealth was only $47,500 for unmarried older adults with two or more ADL limitations, and a quarter had less than $500 in wealth (Table A-1).

FIGURE 1. Total Household Wealth of Adults Ages 65 and Older by Disability Status, 2012
(adjusted for household size, 2015 constant dollars)
FIGURE 1, Bar chart: 10th Percentile--No limitations ($11,400), Any limitations ($200). 25th Percentile--No limitations ($89,800), Any limitations ($32,800), 2 or more ADL limitations ($15,000). 50th Percentile (median)--No limitations ($263,200), Any limitations ($130,600), 2 or more ADL limitations ($94,200).
SOURCE: Author's estimates from the 2012 HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classifies respondents as having a limitation if they or their spouse reported any difficulty with an ADL or IADL. ADL limitations included dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

Overall, housing wealth accounted for 29 percent of the wealth held by adults age 65 and older, yet most older adults with disabilities had little housing equity that they could use to finance their care.11 In 2012, median housing wealth was only $46,000 for adults with two or more ADL limitations or whose spouse had two or more ADL limitations (Figure 2), only a quarter had more than $121,800 (as indicated by the 75th percentile), and 32 percent had no home equity at all (Table A-2). Housing wealth is even lower among unmarried older adults with disabilities, as 51 percent of single adults ages 65 and older with two or more ADL limitations reported having no home equity in 2012 (Table A-3). By contrast, median housing wealth was $103,200 for adults who did not report any limitations and whose spouse (if married) did not report any limitations, and a quarter held more than $196,100 in home equity.

FIGURE 2. Housing Wealth of Adults Ages 65 and Older by Disability Status, 2012
(adjusted for household size, 2015 constant dollars)
FIGURE 2, Bar chart: 25th Percentile--No limitations ($29,200). 50th Percentile (median)--No limitations ($103,200), Any limitations ($61,900), 2 or more ADL limitations ($46,000). 75th Percentile--No limitations ($196,100), Any limitations ($141,600), 2 or more ADL limitations ($121,800).
SOURCE: Author's estimates from the 2012 HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). The analysis classifies respondents as having a limitation if they or their spouse reported any difficulty with an ADL or IADL. ADL limitations include dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

Financial wealth holdings at older ages varied even more dramatically by disability status. Median 2012 financial wealth was $8,300 for adults ages 65 and older with two or more ADL limitations or whose spouse had two or more ADL limitations and $104,300 for their counterparts with no limitations (Figure 3). Thirty-one percent of older adults with two or more ADL limitations held no financial assets, compared with 14 percent for those with no limitations (Table A-2). Half of unmarried older adults with two or more ADL limitations held less than $1,000 in financial wealth in 2012 (Table A-3).

FIGURE 3. Financial Wealth of Adults Ages 65 and Older by Disability Status, 2012
(adjusted for household size, 2015 constant dollars)
FIGURE 3, Bar chart: 25th Percentile--No limitations ($8,300). 50th Percentile (median)--No limitations ($104,300), Any limitations ($24,800), 2 or more ADL limitations ($8,300). 75th Percentile--No limitations ($315,300), Any limitations ($156,900), 2 or more ADL limitations ($108,800).
SOURCE: Author's estimates from the 2012 HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. Financial wealth included the value of employer sponsored retirement accounts; IRAs; Keoghs; stocks; mutual funds; investment trusts; bonds; bond funds; CDs; government savings bonds; treasury bills; checking, savings, and money market accounts; and other savings, net of nonhousing debt. The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with an ADL or IADL. ADL limitations included dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

 

Household Wealth Before Disability Onset

Although many older adults with disabilities spend some of their financial resources on LTSS, reducing their wealth holdings, they generally have less wealth even before they developed disabilities than older adults who never developed disabilities. Among adults ages 51-59 in 1992 with no limitations or work-related disabilities at that time and whose spouse (if married) did not have not have any disabilities or limitations, median 1992 total household wealth was $139,200 (in 2015 inflation-adjusted dollars) for those who ever reported two or more ADL limitations by 2012 (or whose spouse ever reported two or more ADL limitations), when they were ages 71-79 (Figure 4). By contrast, median wealth was $224,600--61 percent higher--for those who never reported any limitations over the next 20 years. One-quarter of those who eventually developed two or more ADL limitations held less than $45,700 in 1992, and one-tenth held less than $4,800.

FIGURE 4. Total 1992 Household Wealth of Adults Ages 51-59 with No Limitations in 1992, by Disability Status over the Next 20 Years
(adjusted for household size, 2015 constant dollars)
FIGURE 4, Bar chart: 10th Percentile--No limitations ($25,300), Any limitations ($10,200), 2 or more ADL limitations ($4,800). 25th Percentile--No limitations ($103,900), Any limitations ($60,900), 2 or more ADL limitations ($45,700). 50th Percentile (median)--No limitations ($224,600), Any limitations ($169,000), 2 or more ADL limitations ($139,200).
SOURCE: Author's estimates from the 1992-2012 waves of the HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of respondents ages 51-59 in 1992 who did not report any limitations or work-related disabilities at that time and whose spouse (if married) did not report any limitations or disabilities. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with an ADL or IADL. ADL limitations included dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

Wealth differences between adults who developed disabilities over the next 20 years and those who did not were most pronounced for financial holdings, although they also existed for home equity. For example, median 1992 financial wealth was $20,900 for adults ages 51-59 who eventually developed two or more ADL limitations, compared with $59,700--nearly three times as much--for those who never reported any limitations (Table A-5). Median housing wealth was $64,500 for those who developed at least two ADL limitations by 2012, compared with $91,900 for those who never reported any limitations. Nearly half (49 percent) of unmarried adults in their 50s who reported two or more ADL limitations by their 70s did not hold any home equity when they were in their 50s (Table A-6).

These disability-related wealth shortfalls among adults in their 50s were evident at least ten years before they developed any disabilities. Among adults ages 51-59 in 1992 with no work-related disabilities at that time and no limitations until at least 2002 and whose spouse (if married) did not have any work-related disabilities in 1992 or any limitations until at least 2002, median 1992 total household wealth was $169,000 (in 2015 inflation-adjusted dollars) for those who ever reported two or more ADL limitations between 2004 and 2012 (or whose spouse ever reported two or more ADL limitations), only 75 percent of much as median 1992 total household wealth for those who never reported any limitations by 2012 (Figure 5). Adults who reported two or more ADL limitations between 2004 and 2014 had significantly less housing wealth and especially financial wealth than those who did not report any limitations through 2012, and they were nearly twice as likely to report no home equity (20 percent versus 11 percent) (Table A-8).

FIGURE 5. Total 1992 Household Wealth of Adults Ages 51-59 with No Limitations from 1992 to 2002, by Disability Status through 2012
(adjusted for household size, 2015 constant dollars)
FIGURE 5, Bar chart: 10th Percentile--No limitations ($25,300), Any limitations ($13,500), 2 or more ADL limitations ($8,000). 25th Percentile--No limitations ($103,900), Any limitations ($69,900), 2 or more ADL limitations ($53,200). 50th Percentile (median)--No limitations ($224,600), Any limitations ($191,100), 2 or more ADL limitations ($169,000).
SOURCE: Author's estimates from the 1992-2012 waves of the HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of respondents ages 51-59 in 1992 who did not report any work-related disabilities at that time or any limitations before the 2004 interview and whose spouse (if married) did not report any work-related disabilities at that time or any limitations before the 2004 interview. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with an ADL or IADL. ADL limitations included dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

Household Wealth at Ages 70-75

Differences in household wealth between people without disabilities who later developed disabilities and their counterparts who did not develop disabilities were less pronounced for people in their early 70s than for people in their 50s. Among adults ages 70-75 in 1993 with no limitations and whose spouse (if married) did not have any limitations, median 1993 total household wealth was $149,000 (in 2015 inflation-adjusted dollars) for those who ever reported two or more ADL limitations by 2012 (or whose spouse ever reported two or more ADL limitations), when they are ages 89-94 (Figure 6). By comparison, 1993 median total household wealth was $177,100--only 19 percent more--for those who never reported any limitations over the next 19 years (and whose spouse never reported any). One-quarter of those who eventually developed two or more ADL limitations held less than $58,800, and one-tenth held less than $9,800, but those near the bottom of the wealth distribution who never developed any limitations did not have much more. Our finding that the relationship between health status and wealth was smaller for people who developed disabilities after age 75 than for people who developed disabilities earlier is consistent with other evidence that socioeconomic differentials in mortality and health status decline as people at advanced ages grow older (Laditka and Laditka 2015; Sautter, Thomas, Dupre, and George 2012).

FIGURE 6. Total 1993 Household Wealth of Adults Ages 70-75 with No Limitations in 1993, by Disability Status over the Next 19 years
(adjusted for household size, 2015 constant dollars)
FIGURE 6, Bar chart: 10th Percentile--No limitations ($11,800), 2 or more ADL limitations ($9,800), 90 or more days of nursing home care ($8,200). 25th Percentile-- No limitations ($75,000), 2 or more ADL limitations ($58,800), 90 or more days of nursing home care ($63,200), Any Medicaid-financed nursing home care ($11,000). 50th Percentile (median)-- No limitations ($177,100), 2 or more ADL limitations ($149,000), 90 or more days of nursing home care ($149,000), Any Medicaid-financed nursing home care ($77,500).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of respondents ages 70-75 in 1993 who did not report any limitations at that time and whose spouse (if married) did not report any limitations. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with an ADL or IADL. ADL limitations included dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

Differences in 1993 wealth levels between people ages 70-75 who ever received at least 90 days of nursing home care by 2012 and those who never developed any ADL or IADL limitations were also relatively small. However, median 1993 total household wealth was only $77,500 for those who ever received any Medicaid-financed nursing home care, less than half as much as the median wealth for those who never developed any limitations. One-quarter of adults who received Medicaid-financed nursing home care by ages 89-94 had less than $11,000 in total household wealth in 1993, and one-tenth had no household wealth. Only one-quarter of those who eventually received Medicaid-financed nursing home care had total household wealth in excess of $137,800 (Table A-10).

FIGURE 7. Total 1993 Household Wealth of Adults Ages 70-75 with No Limitations from 1993 to 2000, by Disability Status through 2012
(adjusted for household size, 2015 constant dollars)
FIGURE 7, Bar chart: 10th Percentile--No limitations ($11,800), 2 or more ADL limitations ($10,200), 90 or more days of nursing home care ($4,800). 25th Percentile-- No limitations ($75,000), 2 or more ADL limitations ($72,100), 90 or more days of nursing home care ($66,100), Any Medicaid-financed nursing home care ($11,000). 50th Percentile (median)-- No limitations ($177,100), 2 or more ADL limitations ($172,900), 90 or more days of nursing home care ($152,700), Any Medicaid-financed nursing home care ($79,600).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of respondents ages 70-75 in 1993 who did not report any limitations before the 2002 interview and whose spouse (if married) did not report any limitations before the 2002 interview. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as having a limitation if they or their spouse reports any difficulty with an ADL or IADL. ADL limitations included dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

Patterns were similar for the components of household wealth. There was little difference in housing wealth, financial wealth, or other household wealth at ages 70-75 between people who developed two or more ADL limitations over the next 19 years or ever received at least 90 days of nursing home care and those who never developed any limitations. People who ever received Medicaid-financed nursing home care, however, had less housing wealth and much less financial wealth and other wealth than those who never developed any limitations (Table A-10). Median 1993 housing wealth was only 60 percent as high for those who later received Medicaid-financed nursing home care as those who never developed any limitations, and median 1993 financial wealth was only 10 percent as high. Thirty-two percent of adults who later received Medicaid-financed nursing home care had no housing equity at ages 70-75.

The wealth shortfalls for people who eventually received Medicaid-financed nursing home care arose at least seven years before they developed any ADL or IADL limitations. Among a sample of adults ages 70-75 who did not develop any limitations until at least 2000 and whose spouse (if married) did not develop any limitations until then, median 1993 total household wealth was $79,600 for those who received Medicaid-financed nursing home care by 2012 (Figure 7), less than half as much as median total household wealth for those who never developed any limitations by 2012. One-quarter had less than $11,000 at least seven years before they developed any limitations, and only one-quarter had more than $155,700 (Table A-12). Thirty-six percent of adults who later received Medicaid-financed nursing home care had no housing equity at least seven years before they developed any limitations, and one-half had less than $4,100 in financial assets.

 

Wealth Differences Before and After Disability Onset

Adults who developed serious disabilities in their 50s, 60s, and 70s had much less wealth before and after disability onset than those who did not develop serious disabilities. Following a sample of adults from 1992 to 2012 who were ages 51-59 in 1992 with no limitations at that time and controlling for only age and year, we found that those who developed two or more ADL limitations by 2012 had 51 percent less total household wealth five or more waves before disability onset than those who never developed two or more ADL limitations (Figure 8). They had 64 percent less total household wealth three waves before disability onset, 76 percent less wealth at disability onset, and 85 percent less wealth three or more waves after disability onset.12

Wealth differences were smaller but still large when we added controls for education, sex, race and ethnicity, and marital status. With those additional controls, adults who developed two or more ADL limitations in their 50s, 60s, or 70s had 33 percent less wealth five or more waves before disability onset than those who never developed two or more ADL limitations, 52 percent less wealth three waves before onset, 66 percent less wealth at onset, and 74 percent less wealth three or more waves after onset. Because HRS respondents are generally interviewed about every two years, these results indicate that wealth shortfalls emerged at least ten years before disability onset for people who developed severe disabilities in their 50s, 60s, and 70s, and lasted at least six years after onset.

FIGURE 8. Relationship between the Onset of 2 or More ADL Limitations and Total Household Wealth for Adults Ages 51-59 in 1992
(adjusted for household size, 2015 constant dollars)
FIGURE 8, Line chart: Adjust for year and age--5+ before (-0.512), 4 before (-0.490), 3 before (-0.637), 2 before (-0.645), 1 before (-0.664), Onset (-0.760), 1 after (-0.783), 2 after (-0.775), 3+ after (-0.850). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (-0.327), 4 before (-0.318), 3 before (-0.517), 2 before (-0.506), 1 before (-0.530), Onset (-0.659), 1 after (-0.666), 2 after (-0.628), 3+ after (-0.737).
SOURCE: Author's estimates from the 1992-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of total household wealth on a sample of adults ages 51-59 in 1992 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who reported 2 or more ADL limitations by 2012 and those who never reported 2 or more ADL limitations. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with at least 2 of the following ADLs: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered. The sample included 26,763 observations.
* Significantly different from zero (p < 0.05).

Housing wealth follows a similar trajectory for adults who develop serious disabilities in their 50s, 60s, and 70s. Compared with adults who never developed two or more ADL limitations, those with two or more ADL limitations had 37 percent less housing wealth five or more waves before disability onset, 54 percent less housing wealth three waves before onset, 56 percent less housing wealth when they first reported severe disabilities, and 75 percent less housing wealth three or more waves after onset, after we controlled for year, age, education, sex, race and ethnicity, and marital status (Figure 9).

FIGURE 9. Relationship between the Onset of 2 or More ADL Limitations and Housing Wealth for Adults 51-59 in 1992
(adjusted for household size, 2015 constant dollars)
FIGURE 9, Line chart: Adjust for year and age--5+ before (-0.373), 4 before (-0.381), 3 before (-0.545), 2 before (-0.498), 1 before (-0.559), Onset (-0.691), 1 after (-0.723), 2 after (-0.727), 3+ after (-0.752). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (-0.545), 4 before (-0.523), 3 before (-0.643), 2 before (-0.622), 1 before (-0.663), Onset (-0.768), 1 after (-0.818), 2 after (-0.837), 3+ after (-0.863).
SOURCE: Author's estimates from the 1992-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of total household wealth on a sample of adults ages 51-59 in 1992 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who reported 2 or more ADL limitations by 2012 and those who never reported 2 or more ADL limitations. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with at least 2 of the following ADLs: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered. The sample included 26,763 observations.
* Significantly different from zero (p < 0.05).

Trajectories of total household wealth and housing wealth differed substantially by demographic characteristics. For example, adults ages 51-79 who did not complete high school had 75 percent less total household wealth and 76 percent less housing wealth than high school graduates who did not obtain a bachelor's degree (Table A-13).13 Adults with a bachelor's degree had about twice as much total household wealth as those with only a high school diploma. Compared with nonHispanic Whites, African Americans had 80 percent less total household wealth and Hispanics had 79 percent less. Wealth was also lower for unmarred adults than their married counterparts. Both total household wealth and housing wealth peaked, in inflation-adjusted dollars, in 2006, just before the crash in the housing and stock markets.

Wealth Differences among Adults Ages 70-75 at Baseline

FIGURE 10. Relationship between the Onset of 2 or More ADL Limitations and Total Household Wealth for Adults Age 70-75 in 1993
(adjusted for household size, 2015 constant dollars)
FIGURE 10, Line chart: Adjust for year and age--5+ before (0.173), 4 before (0.161), 3 before (0.077), 2 before (0.119), 1 before (-0.373), Onset (-0.609), 1 after (-0.653), 2 after (-0.613), 3+ after (-0.618). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (0.126), 4 before (0.194), 3 before (0.080), 2 before (-0.087), 1 before (-0.339), Onset (-0.576), 1 after (-0.580), 2 after (-0.535), 3+ after (-0.527).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of housing wealth on a sample of adults ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in housing wealth between adults who reported 2 or more ADL limitations by 2012 and those who never reported 2 or more ADL limitation. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with at least 2 of the following ADLs: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered. The sample included 14,718 observations.
* Significantly different from zero (p < 0.05).

Wealth trajectory differences between those who developed serious disabilities and those who did not were less dramatic when disabilities did not arise until very advanced ages. When we followed a sample of adults from 1993 to 2012 who were ages 70-75 in 1993 and did not have any limitations at that time, we found no significant differences in total household wealth more than one wave before disability onset between those who subsequently developed two or more ADL limitations (or had a spouse who developed such limitations) and those who did not (Figure 10). However, we found that adults who developed two or more ADL limitations had 34 percent less total household wealth one wave (or two years) before disability onset than those who never developed two or more ADL limitations, after controlling for year, age, education, sex, race and ethnicity, and marital status. Those who developed disabilities had 58 percent less wealth when disabilities were first reported, and wealth did not fall further behind the levels for older people without disabilities in following waves. The wealth trajectories are similar when we controlled for only year and age, suggesting that only a small portion of the difference in wealth changes for those who developed disabilities and those who did not can be explained by differences between the two groups in education, sex, race and ethnicity, or marital status.

FIGURE 11. Relationship between the Onset of 2 or More ADL Limitations and Housing Wealth for Adults Ages 70-75 in 1993
(adjusted for household size, 2015 constant dollars)
FIGURE 11, Line chart: Adjust for year and age--5+ before (0.181), 4 before (0.204), 3 before (-0.046), 2 before (-0.091), 1 before (-0.357), Onset (-0.667), 1 after (-0.673), 2 after (-0.647), 3+ after (-0.474). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (0.014), 4 before (0.087), 3 before (-0.199), 2 before (-0.223), 1 before (-0.474), Onset (-0.725), 1 after (-0.679), 2 after (-0.643), 3+ after (-0.459).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of housing wealth on a sample of adults ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who reported 2 or more ADL limitations by 2012 and those who never reported 2 or more ADL limitations. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). The analysis classified respondents as having a limitation if they or their spouse reported any difficulty with at least 2 of the following ADLS: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered. The sample included 14,718 observations.
* Significantly different from zero (p < 0.05).

As with total household wealth, significant differences in housing wealth by serious disability emerged in our older sample only one wave (or two years) before disability onset. At that time, those who developed two or more ADL limitations had 47 percent less housing wealth than those who never developed two or more ADL limitations, when demographic characteristics were held constant (Figure 11). At the wave when respondents first reported two or more ADL limitations, those with serious disabilities had 72 percent less wealth than those who did not. The shortfall narrowed after disability onset, when housing wealth fell somewhat more for those who never reported serious disabilities than those who did.

People who resided in nursing homes for at least 90 days after their early 70s had much less wealth than those who did not. Focusing on results that controlled for demographic characteristics, we found that long-term nursing home residents had 28 percent less total household wealth three waves before they entered a nursing home than those who never spent 90 or more days in a nursing home (Figure 12). They had 58 percent less wealth one wave before entry and 86 percent less wealth at the wave they entered, but their wealth did not subsequently fall further behind the level for those who never spent 90 or more days in a nursing home. We found no significant wealth differences between recipients of extended nursing home care more than three waves, or six years, before nursing home entry.

FIGURE 12. Relationship between Nursing Home Entry and Total Household Wealth for Adults Ages 70-75 in 1993
(adjusted for household size, 2015 constant dollars)
FIGURE 12, Line chart: Adjust for year and age--5+ before (0.108), 4 before (-0.010), 3 before (-0.291), 2 before (-0.423), 1 before (-0.613), Onset (-0.882), 1 after (-0.930), 2 after (-0.918), 3+ after (-0.889). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (0.034), 4 before (-0.043), 3 before (-0.276), 2 before (-0.391), 1 before (-0.579), Onset (-0.859), 1 after (-0.905), 2 after (-0.889), 3+ after (-0.820).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of total household wealth on a sample of adults ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who entered a nursing home by 2012 and those who never entered a nursing home. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The analysis classified respondents as entering a nursing home if they or their spouse (if married) spent at least 90-days in a nursing home during a 2-year period. The sample included 14,718 observations.
* Significantly different from zero (p < 0.05).

Housing wealth shortfalls for long-term nursing home residents in the three waves before nursing home entry were more pronounced than for total household wealth. When demographic characteristics were held constant, recipients of extended nursing home care had 44 percent less housing wealth three waves before entry than those who did not spend at least 90 days in a nursing home, 77 percent less housing wealth one wave before entry, and 96 percent less housing wealth at the entry wave (Figure 13). As with total household wealth, housing wealth was not significantly lower more than three waves before entry for older people who became long-term nursing home residents than for nonresidents, and the shortfall in housing wealth shrunk somewhat after entry as nonresidents' housing wealth fell relatively rapidly.

FIGURE 13. Relationship between Nursing Home Entry and Housing Wealth for Adults Ages 70-75 in 1993
(adjusted for household size, 2015 constant dollars)
FIGURE 13, Line chart: Adjust for year and age--5+ before (-0.011), 4 before (-0.204), 3 before (-0.486), 2 before (-0.523), 1 before (-0.804), Onset (-0.971), 1 after (-0.977), 2 after (-0.960), 3+ after (-0.919). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (0.002), 4 before (-0.182), 3 before (-0.439), 2 before (-0.456), 1 before (-0.775), Onset (-0.964), 1 after (-0.966), 2 after (-0.943), 3+ after (-0.867).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of total household wealth on a sample of adults ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who entered a nursing home by 2012 and those who never entered a nursing home. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). The analysis classified respondents as entering a nursing home if they or their spouse (if married) spent at least 90-days in a nursing home during a 2-year period. The sample included 14,718 observations.
* Significantly different from zero (p < 0.05).

Older adults who received Medicaid-financed nursing home care had much less wealth at least ten years before they entered a nursing home than people who never received Medicaid-financed nursing home care. After adjusting for demographic characteristics, we found that older adults who received nursing home care paid at least partly by Medicaid had 67 percent less total household wealth five or more waves before they entered a nursing home than people who never received nursing home care at least partly paid by Medicaid (Figure 14). They had 80 percent less total household wealth three waves before nursing home entry, 92 percent less wealth one wave before entry, and 99 percent less wealth at the entry wave. Shortfalls in housing wealth were even more dramatic, with those receiving Medicaid-financed nursing home having 74 percent less housing wealth five or more waves before nursing home entry and 88 percent less housing wealth three waves before entry (Figure 15).

FIGURE 14. Relationship between the Initial Receipt of Medicaid-Financed Nursing Home Care and Total Household Wealth for Adults Age 70-75 in 1993
(adjusted for household size, 2015 constant dollars)
FIGURE 14, Line chart: Adjust for year and age--5+ before (-0.814), 4 before (-0.858), 3 before (-0.902), 2 before (-0.955), 1 before (-0.964), Onset (-0.995), 1 after (-0.999), 2 after (-0.989), 3+ after (-0.998). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (-0.672), 4 before (-0.729), 3 before (-0.796), 2 before (-0.904), 1 before (-0.921), Onset (-0.988), 1 after (-0.996), 2 after (-0.972), 3+ after (-0.982).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of total household wealth on a sample of adults ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who received Medicaid-financed nursing home care by 2012 and those who did not. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. The sample included 14,718 observations.
* Significantly different from zero (p < 0.05).

Total household wealth and housing wealth for adults ages 70-94 varied significantly with demographic characteristics as well as with disability status and nursing home care. For example, when we controlled for other factors, we found that African Americans had 65 percent less housing wealth than nonHispanic Whites and Hispanics had 73 percent less (Table A-14). Racial and ethnic differences were even sharper for total household wealth. The wealth shortfalls for African Americans and Hispanics were larger in this longitudinal sample of respondents ages 70-75 in 1993 than in our younger sample of respondents ages 51-59 in 1992. Wealth declined at advanced ages as respondents grew older, with total household wealth falling 6 percent per year and housing wealth falling 23 percent per year. Unmarried people and people with limited education had less wealth than married people and better-educated people.

FIGURE 15. Relationship between the Initial Receipt of Medicaid-Financed Nursing Home Care and Housing Wealth for Adults Ages 70-75 in 1993
(adjusted for household size, 2015 constant dollars)
FIGURE 15, Line chart: Adjust for year and age--5+ before (-0.854), 4 before (-0.904), 3 before (-0.948), 2 before (-0.967), 1 before (-0.957), Onset (-0.993), 1 after (-0.998), 2 after (-0.989), 3+ after (-0.998). Adjust for year, age, education, sex, race/ethnicity, and marital status--5+ before (-0.740), 4 before (-0.810), 3 before (-0.884), 2 before (-0.924), 1 before (-0.891), Onset (-0.981), 1 after (-0.994), 2 after (-0.967), 3+ after (-0.988).
SOURCE: Author's estimates from the 1993-2012 waves of the HRS.
NOTES: Estimates came from a regression of the natural log of housing wealth on a sample of adults ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and were reinterviewed about once every 2 years through 2012 (or until they died or otherwise dropped out of the survey). The chart shows the percentage difference in total household wealth between adults who received Medicaid-financed nursing home care by 2012 and those who did not. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). The sample includes 14,718 observations.
* Significantly different from zero (p < 0.05).

 

Conclusions

Household wealth plummets when older adults or their spouses develop severe disabilities or enter nursing homes. Adults ages 51-59 who developed severe disabilities over the next two decades had 66 percent less total household wealth and 69 percent less housing wealth within two years of first developing those disabilities than their counterparts who did not develop severe disabilities. These wealth differences arose long before serious disabilities began. At least ten years before these adults with severe disabilities first reported any ADL or IADL limitations, they had 33 percent less total household wealth and 37 percent less housing wealth than those who never developed severe disabilities. However, people who did not develop severe disabilities until their 80s and 90s--when such health problems are much more common--did not experience wealth shortfalls until about two years before their disabilities emerged, although their wealth then fell sharply.

Extended nursing home stays significantly deplete household wealth. People who spent at least 90 days in a nursing home had 86 percent less total household wealth and 96 percent less housing wealth within two years of entry than their counterparts who did not experience extended nursing home care. Wealth shortfalls for people with extended nursing home stays were evident six years before nursing home entry, but not any earlier.

Observed wealth declines several years before nursing home entry might reflect high out-of-pocket LTSS and medical costs that were incurred before the receipt of nursing home care. This finding might also reflect wealth differences between people who enter nursing homes at very advanced ages. Respondents in our sample observed ten years before the receipt of nursing home care would have entered nursing homes after age 80 and more likely after age 85. These respondents may have had more wealth than those who entered at earlier ages. In addition, the observed wealth declines might reflect asset transfers by people who expected to enter nursing homes and hoped to qualify for Medicaid. However, older people who received Medicaid-financed nursing care had 67 percent less total household wealth and 74 percent less housing wealth ten or more years before nursing home entry than people who did not receive nursing home care paid by Medicaid. This result suggests that most people receiving Medicaid-financed nursing home care had little wealth over the decade before Medicaid began paying for their nursing home care, and perhaps for much of their lives. An important caveat, however, is that our Medicaid coverage measure was based on respondent self-reports, which may not be very accurate. More research is needed to better understand the wealth trajectories of older adults who eventually receive Medicaid-financed nursing home care.

Because few people have private insurance that covers LTSS and Medicaid--the only public program that pays much LTSS spending--covers only people with virtually no financial resources, many people deplete nearly all of their wealth when they receive extended nursing home care. However, many people with extended nursing home stays and nearly everyone who receives Medicaid-financed nursing home care had only limited resources for many years before they became severely disabled. For example, one-half of people who experienced a Medicaid-financed nursing home stay after ages 77-82 had less than $79,600 in total household wealth at ages 70-75, and one-quarter had less than $11,000. These resource levels cannot fund much nursing home care, which now typically costs about $80,000 a year (Genworth 2015). It also helps explain why those who relied on Medicaid to finance nursing home care, especially those who rapidly "spent-down" to Medicaid after they entered a nursing home, had limited ability to choose alternatives such as assisted living or paid home care. More research is needed to determine whether many people with Medicaid-financed nursing home care had resources earlier in their lifetime that they could have set aside to cover future LTSS expenses.

 

Endnotes

  1. The estimates in this paragraph are based on unpublished estimates from Brenda Spillman at the Urban Institute.

  2. Brenda Spillman provided the unpublished estimates reported in this paragraph.

  3. Information about the value of second homes is not available in the 1993, 1994, and 1995 waves, because of problems with the way the HRS collected the data in those years.

  4. We used Urban Institute imputations of missing retirement account values, which are based on hotdeck techniques. Our other wealth measures are based on RAND's imputations. See RAND (2015) for more information.

  5. In our sample, 45 percent of respondents ages 70-75 in 1993 who ever reported receiving nursing home care by 2012 never spent more than 90 days in a nursing home.

  6. A given percentile of a distribution indicates the share of the sample with values below that amount. For example, by definition 10 percent of a sample have values that fall below the 10th percentile; 75 percent of a sample have values below the 75th percentile, while 25 percent have values above the 75th percentile. The 50th percentile is also known as the median.

  7. We did not compare wealth by eventual nursing home residence for the younger sample, because the number of younger respondents ever receiving nursing home care was too small for meaningful comparisons.

  8. Some respondents could have developed disabilities as soon as 2002, immediately after that year's interview.

  9. We set the natural logarithm of wealth equal to zero when the level of wealth was zero or negative.

  10. We computed the percentage difference at a given wave before or after onset by subtracting 1 from the exponential of the coefficient for that wave indicator.

  11. The estimated share of wealth from home equity was based on computations of statistics reported in Table A-2.

  12. Respondents remained in the sample after disability onset until 2012, until they died, or until they stopped responding to the survey for other reasons, even if they recovered from their disability.

  13. For indicator variables, we calculated the percentage difference by subtracting 1 from the exponential of the coefficient for that variable reported in the appendix table.

 

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Appendix

TABLE A-1. Total Household Wealth by Disability and Marital Status, Adults Ages 65 and Older, 2012
(adjusted for household size, 2015 constant dollars)
  Own or Spouse's Disability Own Disability Only
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
All
   10th percentile 11,400 200 0 12,600 0 0
   25th percentile 89,800 32,800 15,000 86,000 20,600 5,200
   50th percentile 263,200 130,600 94,200 255,000 108,400 77,400
   75th percentile 621,300 373,000 300,400 610,100 330,300 252,900
   90th percentile 1,248,200 841,300 677,200 1,221,100 787,300 670,800
   Mean 562,900 340,200 265,400 546,600 305,800 242,200
   No wealth (%) 5 9 12 5 11 14
   N 6,105 4,191 1,570 7,152 3,144 1,113
Unmarried
   10th percentile 800 0 0 800 0 0
   25th percentile 36,800 3,100 500 36,800 3,100 500
   50th percentile 167,500 72,300 47,500 167,500 72,300 47,500
   75th percentile 454,200 230,700 176,500 454,200 230,700 176,500
   90th percentile 980,700 635,900 645,200 980,700 635,900 645,200
   Mean 429,100 232,300 214,500 429,100 232,300 214,500
   No wealth (%) 8 16 20 8 16 20
   N 2,539 1,598 614 2,539 1,598 614
Married
   10th percentile 51,500 13,900 1,700 40,100 9,300 2,900
   25th percentile 156,200 62,000 43,900 129,900 56,200 43,100
   50th percentile 344,500 179,600 138,700 310,400 168,300 131,800
   75th percentile 730,000 455,500 349,800 690,600 430,700 345,300
   90th percentile 1,401,800 961,200 732,900 1,324,900 926,300 709,500
   Mean 660,200 409,600 301,900 613,900 387,200 281,100
   No wealth (%) 2 5 6 3 5 6
   N 3,566 2,593 956 4,613 1,546 499
SOURCE: Author's computations from the 2012 HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. The analysis classified respondents as having an ADL limitation if they reported any difficulty dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. IADL limitations included difficulty using a map, preparing a hot meal, shopping for groceries, making a phone call, and taking medication. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.

 

TABLE A-2. Components of Household Wealth by Disability Status, Adults Ages 65 and Older, 2012
(adjusted for household size, 2015 constant dollars)
  Own or Spouse's Disability Own Disability Only
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
Housing wealth
   10th percentile 0 0 0 0 0 0
   25th percentile 29,200 0 0 31,000 0 0
   50th percentile 103,200 61,900 46,000 100,000 51,600 34,300
   75th percentile 196,100 141,600 121,800 189,800 129,000 109,500
   90th percentile 340,700 255,500 237,400 335,500 244,500 237,200
   Mean 161,100 106,800 89,500 157,400 97,600 83,700
   No home equity (%) 18 26 32 17 31 37
Financial wealth
   10th percentile 0 -400 -1,100 0 -500 -1,000
   25th percentile 8,300 0 0 7,300 0 0
   50th percentile 104,300 24,800 8,300 97,800 16,400 4,100
   75th percentile 315,300 156,900 108,800 309,500 134,500 98,500
   90th percentile 711,700 470,700 370,000 683,400 440,200 343,800
   Mean 295,700 175,000 126,300 285,500 159,700 120,000
   No home equity (%) 14 24 31 14 27 34
Other household wealth
   10th percentile 0 0 0 0 0 0
   25th percentile 3,700 300 0 3,700 0 0
   50th percentile 11,000 5,200 2,900 11,000 3,700 1,500
   75th percentile 29,200 18,200 12,400 29,200 14,600 9,500
   90th percentile 203,400 93,400 75,200 196,100 80,300 47,400
   Mean 106,200 58,500 49,500 103,700 48,600 38,500
   No home equity (%) 10 21 29 9 26 36
N 6,105 4,191 1,570 7,152 3,144 1,113
SOURCE: Author's computations from the 2012 HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). Financial wealth included the value of employer sponsored retirement accounts; IRAs; Keoghs; stocks; mutual funds; investment trusts; bonds; bond funds; CDs; government savings bonds; treasury bills; checking, savings, and money market accounts;, and other savings, net of nonhousing debt. Other household wealth included the net value of businesses, vehicles, and real estate (except for primary and secondary residences). See the note to Table A-1 for information about how limitations were defined.

 

TABLE A-3. Components of Household Wealth by Disability and Marital Status, Adults Ages 65 and Older, 2012
(adjusted for household size, 2015 constant dollars)
  Unmarried Married
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
Housing wealth
   10th percentile 0 0 0 8,800 0 0
   25th percentile 0 0 0 56,200 29,200 13,100
   50th percentile 72,300 17,600 0 116,100 73,700 65,000
   75th percentile 175,500 103,200 87,700 211,700 164,200 142,100
   90th percentile 309,700 206,500 206,500 365,000 292,000 255,500
   Mean 141,400 76,500 71,000 175,500 126,300 102,900
   No home equity (%) 30 45 51 9 14 18
Financial wealth
   10th percentile 0 -600 -1,000 200 0 -1,200
   25th percentile 500 0 0 33,600 1,500 0
   50th percentile 38,800 4,200 1,000 147,500 46,700 25,500
   75th percentile 201,300 87,700 66,000 396,400 221,200 140,200
   90th percentile 536,800 338,600 292,600 852,600 528,900 408,800
   Mean 217,300 128,200 116,700 352,600 205,100 133,300
   No home equity (%) 20 32 38 9 19 26
Other household wealth
   10th percentile 0 0 0 2,200 0 0
   25th percentile 1,000 0 0 7,300 2,900 1,500
   50th percentile 5,200 1,000 0 14,600 8,800 5,800
   75th percentile 15,500 6,200 4,100 43,800 27,000 21,900
   90th percentile 77,400 23,700 20,600 281,000 138,700 87,600
   Mean 70,400 27,600 26,900 132,200 78,300 65,800
   No home equity (%) 19 41 51 3.4 9 14
N 2,539 1,598 614 3,566 2,593 956
SOURCE: Author's computations from the 2012 HRS.
NOTES: Estimates were rounded to the nearest $100 and based on a sample of 10,296 respondents ages 65 and older and living in the community in 2012. For married adults, disability status referred to a respondent's or spouse's limitations. See the note to Table A-1 for information about how limitations were defined and the note to Table A-2 for information about how household wealth was defined.

 

TABLE A-4. Total 1992 Household Wealth by Future Disability Status, Adults Ages 51-59 with No Limitations in 1992
(adjusted for household size, 2015 constant dollars)
  Own or Spouse's Disability Own Disability Only
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
All
   10th percentile 25,300 10,200 4,800 28,100 8,400 2,600
   25th percentile 103,900 60,900 45,700 102,500 54,400 30,400
   50th percentile 224,600 169,000 139,200 219,800 141,600 116,600
   75th percentile 485,000 383,500 368,300 464,700 333,300 324,400
   90th percentile 1,052,000 695,600 666,600 931,800 659,400 623,300
   Mean 504,200 325,900 277,300 457,600 299,100 256,900
   No wealth (%) 3 5 7 3 5 8
   N 1,600 1,481 477 2,624 1,512 430
Unmarried in 1992
   10th percentile 1,700 0 0 1,700 0 0
   25th percentile 35,800 12,700 6,300 34,600 11,000 5,100
   50th percentile 138,500 84,500 53,200 136,800 74,300 40,200
   75th percentile 359,800 225,500 149,300 347,200 214,500 136,000
   90th percentile 800,700 435,900 422,300 800,700 435,500 429,100
   Mean 398,200 187,900 140,700 388,100 182,400 139,500
   No wealth (%) 8 11 16 8 12 18
   N 461 364 132 493 332 117
Married in 1992
   10th percentile 60,000 27,800 19,900 47,300 20,800 9,600
   25th percentile 134,400 87,400 70,500 118,300 71,600 59,700
   50th percentile 252,100 200,800 189,900 235,300 166,900 150,500
   75th percentile 548,300 408,500 406,100 488,600 367,900 363,700
   90th percentile 1,153,500 778,900 770,200 974,800 728,000 709,000
   Mean 547,900 368,900 329,900 473,900 331,500 302,800
   No wealth (%) 1 2 3 2 3 4
   N 1,139 1,117 345 2,131 1,180 313
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: The table compares 1992 household wealth for people who developed disabilities over the next 20 years and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 51-59 in 1992 who did not report any ADL or IADL limitations or work-related disabilities at that time. Analyses that considered a spouse's limitations were further restricted to respondents whose 1992 spouse did not report any ADL or IADL limitations or work-related disabilities at that time. See the note to Table A-1 for information about how limitations were defined.

 

TABLE A-5. Components of 1992 Household Wealth by Future Disability Status, Adults Ages 51-59 with No Limitations in 1992
(adjusted for household size, 2015 constant dollars)
  Own or Spouse's Disability Own Disability Only
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
Housing wealth
   10th percentile 0 0 0 0 0 0
   25th percentile 31,100 23,900 15,500 35,800 23,900 0
   50th percentile 91,900 73,500 64,500 89,600 65,700 53,800
   75th percentile 167,200 144,500 137,400 160,700 137,400 119,500
   90th percentile 301,000 238,900 232,900 286,500 238,900 228,100
   Mean 137,700 111,900 97,400 129,500 104,900 88,100
   No home equity (%) 16 17 21 14 18 25
Financial wealth
   10th percentile 0 0 -300 0 -500 -1,300
   25th percentile 11,800 3,600 1,200 11,800 1,700 100
   50th percentile 59,700 36,100 20,900 59,100 27,400 13,700
   75th percentile 181,600 118,300 107,800 171,500 105,100 100,600
   90th percentile 405,000 267,600 249,700 370,300 240,900 240,900
   Mean 181,700 104,900 84,100 164,700 98,800 81,300
   No home equity (%) 11 16 20 11 19 25
Other household wealth
   10th percentile 2,500 1,200 200 3,400 1,200 0
   25th percentile 8,400 6,000 5,100 9,000 6,000 3,600
   50th percentile 23,900 15,500 14,300 23,700 14,300 11,900
   75th percentile 82,400 53,000 45,600 77,600 45,400 33,800
   90th percentile 322,500 256,800 246,100 322,500 194,400 157,700
   Mean 184,800 109,100 95,800 163,400 95,400 87,500
   No home equity (%) 4 6 9 3 6 10
N 1,600 1,481 477 2,624 1,512 430
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: The table compares 1992 household wealth for people who developed disabilities over the next 20 years and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 51-59 in 1992 who did not report any ADL or IADL limitations or work-related disabilities at that time. Analyses that considered a spouse's limitations were further restricted to respondents whose 1992 spouse did not report any ADL or IADL limitations or work-related disabilities at that time. See the note to Table A-1 for information about how limitations were defined and the note to Table A-2 for information about how household wealth was defined.

 

TABLE A-6. Components of 1992 Household Wealth by 1992 Marital Status and Future Disability Status, Adults Ages 51-59 with No Limitations in 1992
(adjusted for household size, 2015 constant dollars)
  Unmarried Married
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
Housing wealth
   10th percentile 0 0 0 11,900 0 0
   25th percentile 0 0 0 52,600 41,800 37,000
   50th percentile 50,700 25,300 8,400 96,800 83,600 77,600
   75th percentile 135,100 101,400 84,500 179,200 155,300 157,700
   90th percentile 253,400 219,600 177,400 333,300 246,100 238,900
   Mean 108,200 76,700 57,800 149,500 122,300 111,700
   No home equity (%) 35 42 49 8 10 12
Financial wealth
   10th percentile -1,000 -500 -300 2,400 0 0
   25th percentile 1,400 0 0 18,200 7,800 2,400
   50th percentile 30,400 11,800 5,900 70,500 47,800 31,100
   75th percentile 118,300 67,600 50,300 200,400 135,600 122,800
   90th percentile 312,500 151,200 143,600 426,800 288,100 270,000
   Mean 146,800 59,700 52,600 193,900 118,800 96,200
   No home equity (%) 22 27 33 6 13 15
Other household wealth
   10th percentile 0 0 0 6,000 3,100 3,000
   25th percentile 3,400 1,400 0 11,900 9,600 8,400
   50th percentile 11,800 6,900 6,900 27,500 19,100 19,100
   75th percentile 37,200 17,700 15,200 99,100 71,300 100,300
   90th percentile 185,800 67,600 33,800 388,200 290,500 346,400
   Mean 133,100 46,000 29,100 204,500 127,800 122,000
   No home equity (%) 10 19 24 2 2 3
N 493 332 117 1,139 1,117 345
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: The table compares 1992 household wealth for people who developed disabilities over the next 20 years and those who did not. Estimates were rounded to the nearest $100 and based on a sample of 10,294 respondents ages 65 and older and living in the community in 2012. For married adults, disability status refers to a respondent's or spouse's limitations, and tabulations were further restricted to respondents whose 1992 spouse did not report any ADL or IADL limitations or work-related disabilities at that time. See the note to Table A-1 for information about how limitations were defined and the note to Table A-2 for information about how household wealth was defined.

 

TABLE A-7. Total 1992 Household Wealth by Future Disability Status, Adults Ages 51-59 in 1992 with No Limitations from 1992 to 2002
(adjusted for household size, 2015 constant dollars)
  Own or Spouse's Disability Own Disability Only
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
All
   10th percentile 25,300 13,500 8,000 28,100 15,300 5,100
   25th percentile 103,900 69,900 53,200 102,500 65,400 48,400
   50th percentile 224,600 191,100 169,000 219,800 160,100 138,600
   75th percentile 485,000 401,400 384,600 464,700 382,900 368,300
   90th percentile 1,052,000 737,000 770,200 931,800 734,800 695,600
   Mean 504,200 349,000 340,400 457,600 325,200 270,700
   No home equity (%) 3 4 6 3 4 6
   N 1,600 574 173 2,624 657 182
Unmarried in 1992
   10th percentile 1,700 0 0 1,700 0 0
   25th percentile 35,800 15,500 11,000 34,600 15,500 8,400
   50th percentile 138,500 92,900 57,400 136,800 88,700 71,600
   75th percentile 359,800 235,700 149,300 347,200 234,700 161,100
   90th percentile 800,700 462,500 368,300 800,700 462,500 368,300
   Mean 398,200 225,200 167,700 388,100 217,200 180,900
   No home equity (%) 8 11 15 8 11 17
   N 461 151 59 493 136 51
Married in 1992
   10th percentile 60,000 41,000 35,200 47,300 34,900 14,300
   25th percentile 134,400 99,900 95,100 118,300 76,900 68,100
   50th percentile 252,100 226,400 250,900 235,300 189,900 187,500
   75th percentile 548,300 453,900 474,200 488,600 405,000 408,500
   90th percentile 1,153,500 803,900 1,094,200 974,800 788,600 702,400
   Mean 1,100 400 100 2,100 500 100
   No home equity (%) 1 2 2 2 2 1
   N 1,139 423 114 2,131 521 131
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: The table compares 1992 household wealth for people who developed disabilities between 2002 and 2012 and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 51-59 in 1992 who did not report any work-related disabilities at that time or any ADL or IADL limitations before the 2004 interview. Analyses that considered a spouse's limitations were further restricted to respondents whose spouse did not report any work-related disabilities in 1992 or any ADL or IADL limitations before the 2004 interview. See the note to Table A-1 for definitions.

 

TABLE A-8. Components of 1992 Household Wealth by Future Disability Status, Adults Ages 51-59 in 1992 with No Limitations from 1992 to 2002
(adjusted for household size, 2015 constant dollars)
  Own or Spouse's Disability Own Disability Only
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
Housing wealth
   10th percentile 0 0 0 0 0 0
   25th percentile 31,100 26,300 23,900 35,800 25,100 13,100
   50th percentile 91,900 83,600 72,900 89,600 68,100 59,700
   75th percentile 167,200 152,900 152,900 160,700 143,600 143,300
   90th percentile 301,000 274,700 290,300 286,500 262,800 235,300
   Mean 137,700 122,800 114,500 129,500 113,400 100,500
   No home equity (%) 11 14 20 11 16 19
Financial wealth
   10th percentile 0 0 0 0 0 0
   25th percentile 11,800 6,000 2,300 11,800 3,000 1,200
   50th percentile 59,700 43,000 22,700 59,100 32,300 27,400
   75th percentile 181,600 130,800 103,900 171,500 118,300 118,300
   90th percentile 405,000 264,600 270,000 370,300 261,600 267,600
   Mean 181,700 111,300 93,300 164,700 105,400 84,900
   No home equity (%) 4 6 9 3 5 8
Other household wealth
   10th percentile 2,500 1,800 600 3,400 1,700 600
   25th percentile 8,400 8,400 6,000 9,000 6,900 5,100
   50th percentile 23,900 17,900 17,900 23,700 16,700 13,500
   75th percentile 82,400 57,300 71,700 77,600 59,700 42,400
   90th percentile 322,500 280,700 390,100 322,500 280,700 207,900
   Mean 184,800 115,000 132,600 163,400 106,400 85,200
   No home equity (%) 16 17 18 14 16 21
N 1,600 574 173 2,624 657 182
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: The table compares 1992 household wealth for people who developed disabilities between 2002 and 2012 and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 51-59 in 1992 who did not report any work-related disabilities at that time or any ADL or IADL limitations before the 2004 interview. Analyses that considered a spouse's limitations were further restricted to respondents whose spouse did not report any work-related disabilities in 1992 or any ADL or IADL limitations before the 2004 interview. See the note to Table A-1 for information about how limitations were defined and the note to Table A-2 for information about how household wealth was defined.

 

TABLE A-9. Components of 1992 Household Wealth by 1992 Marital Status and Future Disability Status, Adults Ages 51-59 in 1992 with No Limitations from 1992 to 2002
(adjusted for household size, 2015 constant dollars)
  Unmarried Married
No Limitations Any Limitations Two or More
ADL Limitations
No Limitations Any Limitations Two or More
ADL Limitations
Housing wealth
   10th percentile 0 0 0 11,900 3,600 19,100
   25th percentile 0 0 0 52,600 47,800 47,800
   50th percentile 50,700 25,300 21,100 96,800 93,200 89,600
   75th percentile 135,100 118,300 126,700 179,200 156,500 179,200
   90th percentile 253,400 226,400 219,600 333,300 290,300 304,600
   Mean 108,200 83,900 71,600 149,500 136,000 137,500
   No home equity (%) 22 25 32 6 10 12
Financial wealth
   10th percentile -1,000 0 -300 2,400 0 0
   25th percentile 1,400 200 0 18,200 12,600 4,200
   50th percentile 30,400 15,200 6,400 70,500 57,600 40,900
   75th percentile 118,300 76,000 59,100 200,400 161,300 133,800
   90th percentile 312,500 208,800 208,800 426,800 284,300 270,400
   Mean 146,800 70,100 60,000 193,900 125,700 113,600
   No home equity (%) 10 19 24 2 2 3
Other household wealth
   10th percentile 0 0 0 6,000 3,600 3,000
   25th percentile 3,400 1,700 1,000 11,900 10,800 9,000
   50th percentile 11,800 8,400 8,400 27,500 21,500 23,900
   75th percentile 37,200 22,000 15,200 99,100 71,700 137,400
   90th percentile 185,800 80,200 33,800 388,200 379,900 583,000
   Mean 133,100 63,200 49,300 204,500 129,000 176,700
   No home equity (%) 35 43 46 8 9 6
N 493 136 51 1,139 423 114
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: The table compares 1992 household wealth for people who developed disabilities between 2002 and 2012 and those who did not. Estimates were rounded to the nearest $100 and based on a sample of 10,294 respondents ages 65 and older and living in the community in 2012. For married adults, disability status refers to a respondent's or spouse's limitations, and tabulations were further restricted to respondents whose spouse did not report any work-related disabilities in 1992 or any ADL or IADL limitations before the 2004 interview. See the note to Table A-1 for information about how limitations were defined and the note to Table A-2 for information about how household wealth was defined.

 

TABLE A-10. Components of 1993 Household Wealth by Future Disability Status and Nursing Home Care, Adults Ages 70-75 with No Limitations in 1993
(adjusted for household size, 2015 constant dollars)
  No Limitations Any Limitations Two or More
ADL Limitations
90 or More Days
of Nursing Home Care
Ever Receive Medicaid-Financed
Nursing Home Care
Total household wealth
   10th percentile 11,800 11,000 9,800 8,200 0
   25th percentile 75,000 67,900 58,800 63,200 11,000
   50th percentile 177,100 164,800 149,000 149,000 77,500
   75th percentile 355,900 363,000 345,400 311,900 137,800
   90th percentile 673,600 717,100 704,500 613,500 251,100
   Mean 316,600 302,800 295,300 260,000 127,200
Housing wealth
   10th percentile 0 0 0 0 0
   25th percentile 33,600 37,800 31,200 28,300 0
   50th percentile 84,800 82,600 84,800 79,200 50,900
   75th percentile 160,700 141,400 139,400 135,700 101,700
   90th percentile 248,400 226,200 226,200 226,200 160,700
   Mean 117,500 115,700 115,900 105,500 71,600
   No home equity (%) 17 17 18 20 32
Financial wealth
   10th percentile 0 0 0 0 -100
   25th percentile 3,000 2,300 1,500 2,100 0
   50th percentile 30,500 29,000 25,300 23,200 2,900
   75th percentile 128,200 112,600 105,500 98,100 27,900
   90th percentile 313,200 280,500 252,800 232,000 65,000
   Mean 114,000 102,100 96,600 88,200 37,500
Other household wealth
   10th percentile 0 500 300 0 0
   25th percentile 4,100 4,300 3,800 3,400 300
   50th percentile 13,000 13,000 12,200 10,700 4,800
   75th percentile 33,900 42,100 36,500 27,700 13,000
   90th percentile 168,100 234,600 246,000 156,600 24,100
   Mean 85,100 85,000 82,800 66,200 18,000
N 761 1,669 1,023 600 274
SOURCE: Author's computations from the 1993-2012 waves of the HRS.
NOTES: The table compares 1993 household wealth for people who developed disabilities or received nursing home care by 2012 and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time and whose spouse (if married) did not report any limitations. For married adults, disability status refers to a respondent's or spouse's limitations, and tabulations were future restricted to respondents whose spouse did not report any ADL or IADL limitations in 1993.

 

TABLE A-11. Components of 1993 Household Wealth by Future Disability Status and Nursing Home Care, Adults Ages 70-75 with No Limitations in 1993
(adjusted for household size, 2015 constant dollars)
  No Limitations Any Limitations Two or More
ADL Limitations
90 or More Days
of Nursing Home Care
Ever Receive Medicaid-Financed
Nursing Home Care
Total household wealth
   10th percentile 18,100 8,200 8,200 6,100 0
   25th percentile 80,400 58,900 53,600 58,800 8,200
   50th percentile 188,500 154,700 138,000 142,200 72,100
   75th percentile 378,900 337,900 324,800 296,100 137,800
   90th percentile 724,900 698,600 643,800 555,600 241,500
   Mean 323,400 293,000 274,200 251,600 119,100
Housing wealth
   10th percentile 0 0 0 0 0
   25th percentile 39,600 31,200 27,700 27,700 0
   50th percentile 84,800 82,000 82,000 79,200 47,500
   75th percentile 158,300 141,400 139,400 135,700 101,700
   90th percentile 246,000 226,200 226,200 226,200 155,800
   Mean 117,600 115,000 111,500 104,900 68,900
   No home equity (%) 15 19 20 21 34
Financial wealth
   10th percentile 0 0 0 0 0
   25th percentile 4,200 1,700 1,200 1,700 0
   50th percentile 34,800 26,700 21,900 18,900 2,500
   75th percentile 133,400 103,300 86,600 82,000 27,800
   90th percentile 330,000 257,500 232,000 220,900 57,400
   Mean 116,600 97,000 91,400 83,900 34,900
Other household wealth
   10th percentile 1,000 0 0 0 0
   25th percentile 5,600 3,500 3,300 3,300 100
   50th percentile 14,800 11,600 10,900 9,800 4,100
   75th percentile 41,000 36,100 27,900 24,600 12,300
   90th percentile 199,200 216,700 187,600 119,700 23,000
   Mean 89,200 81,000 71,400 62,800 15,300
N 1,051 1,408 815 549 254
SOURCE: Author's computations from the 1993-2012 waves of the HRS.
NOTES: The table compares 1993 household wealth for people who developed disabilities or received nursing home care by 2012 and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 70-75 in 1993 who did not report any ADL or IADL limitations at that time. For married adults, disability status refers to a respondent's or spouse's limitations, and tabulations were further restricted to respondents whose spouse did not report any ADL or IADL limitations in 1993. See the notes to Table A-1 and Table A-2 for additional information.

 

TABLE A-12. Components of 1993 Household Wealth by Future Disability Status and Nursing Home Care, Adults Ages 70-75 with No Limitations from 1993 to 2000
(adjusted for household size, 2015 constant dollars)
  No Limitations Any Limitations Two or More
ADL Limitations
90 or More Days
of Nursing Home Care
Ever Receive Medicaid-Financed
Nursing Home Care
Total household wealth
   10th percentile 11,800 11,000 10,200 4,800 0
   25th percentile 75,000 72,200 72,100 66,100 11,000
   50th percentile 177,100 180,400 172,900 152,700 79,600
   75th percentile 355,900 401,900 405,500 314,900 155,700
   90th percentile 673,600 713,300 815,900 643,700 366,200
   Mean 316,600 308,100 314,200 262,100 181,400
Housing wealth
   10th percentile 0 0 0 0 0
   25th percentile 33,600 28,300 23,200 9,800 0
   50th percentile 84,800 82,000 84,800 73,800 55,400
   75th percentile 160,700 147,600 147,600 142,700 113,100
   90th percentile 248,400 242,800 243,100 226,200 224,700
   Mean 117,500 111,600 112,300 102,000 81,600
   No home equity (%) 17 20 23 25 36
Financial wealth
   10th percentile 0 0 0 0 -100
   25th percentile 3,000 4,600 3,000 3,400 0
   50th percentile 30,500 31,500 31,300 29,500 4,100
   75th percentile 128,200 122,900 122,900 98,600 40,200
   90th percentile 313,200 279,500 266,500 222,900 98,600
   Mean 114,000 104,400 101,700 94,400 65,600
Other household wealth
   10th percentile 0 0 0 0 0
   25th percentile 4,100 3,700 3,300 3,300 0
   50th percentile 13,000 13,100 13,100 12,900 5,800
   75th percentile 33,900 54,600 59,000 27,900 16,100
   90th percentile 168,100 253,700 299,500 167,300 42,100
   Mean 85,100 92,100 100,200 65,700 34,100
N 761 515 301 255 97
SOURCE: Author's computations from the 1993-2012 waves of the HRS.
NOTES: The table compares 1993 household wealth for people who developed disabilities or received nursing home care between 2000 and 2012 and those who did not. Estimates were rounded to the nearest $100 and based on a sample of respondents ages 70-75 in 1993 who did not report any ADL or IADL limitations from the 1993-2000 interviews, and whose spouse (if married) did not report any limitations during that period.

 

TABLE A-13. Estimates of the Relationship between the Onset of Two or More ADL Limitations and Household Wealth for Adults Ages 51-59 in 1992
  Total Household Wealth Housing Wealth
Coef. S.E. Coef. S.E. Coef. S.E. Coef. S.E.
Waves before Disability Onset
   5 -0.717** 0.090 -0.396** 0.079 -0.788** 0.131 -0.467** 0.120
   4 -0.673** 0.154 -0.383** 0.137 -0.740** 0.226 -0.479* 0.208
   3 -1.014** 0.144 -0.727** 0.128 -1.028** 0.211 -0.787** 0.194
   2 -1.035** 0.140 -0.705** 0.124 -0.972** 0.204 -0.689** 0.188
   1 -1.089** 0.139 -0.754** 0.124 -1.087** 0.204 -0.818** 0.187
Disability Onset -1.428** 0.134 -1.076** 0.119 -1.462** 0.195 -1.173** 0.180
Waves after Onset
   1 -1.530** 0.151 -1.098** 0.134 -1.701** 0.220 -1.284** 0.203
   2 -1.493** 0.175 -0.989** 0.155 -1.813** 0.256 -1.297** 0.235
   3 -1.900** 0.111 -1.335** 0.099 -1.986** 0.163 -1.392** 0.150
Age 0.001 0.007 0.007 0.006 0.003 0.010 0.009 0.009
Female     0.052 0.033     0.308** 0.050
Education
   Did not complete high school     -1.379** 0.046     -1.419** 0.069
   [Ref: High school graduate]                
   Bachelor's degree     0.737** 0.049     0.683** 0.075
   Postgraduate degree     0.862** 0.052     0.879** 0.079
Race and ethnicity
   [Ref: NonHispanic White]                
   African American     -1.608** 0.046     -1.354** 0.069
   Hispanic     -1.574** 0.067     -1.768** 0.102
   Other race     -0.840** 0.118     -1.382** 0.179
Marital Status
   [Ref: Married]                
   Divorced or separated     -1.694** 0.046     -2.967** 0.071
   Widowed     -0.990** 0.054     -1.735** 0.082
   Never married     -1.733** 0.080     -2.938** 0.122
Year
   1992 -0.385* 0.163 -0.235 0.145 -0.407 0.238 -0.311 0.219
   1994 -0.144 0.153 -0.037 0.136 -0.298 0.223 -0.243 0.206
   1996 -0.129 0.142 -0.045 0.126 -0.250 0.208 -0.214 0.192
   1998 -0.050 0.133 0.024 0.118 0.026 0.194 0.061 0.179
   2000 0.108 0.124 0.153 0.110 0.161 0.181 0.167 0.167
   2002 0.097 0.115 0.132 0.102 0.256 0.167 0.257 0.154
   2004 0.138 0.107 0.169 0.095 0.373* 0.157 0.367* 0.145
   2006 0.234* 0.102 0.240** 0.090 0.544** 0.149 0.527** 0.137
   2008 0.081 0.098 0.091 0.086 0.383** 0.142 0.373** 0.131
   2010 -0.034 0.095 -0.025 0.084 0.178 0.139 0.173 0.128
   [Ref: 2012]                
Intercept 11.827** 0.520 12.168** 0.465 9.723** 0.760 10.271** 0.706
Adjusted R-Squared 0.027   0.238   0.017   0.169  
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: Estimates came from ordinary least squares regressions of the natural logarithm of total household wealth and the natural logarithm of housing wealth. We estimated the regressions on a pooled sample of 26,763 observations from 1992 to 2012 on respondents ages 51-59 in 1992 who did not report any work disabilities or any ADL or IADL limitations in 1992 and whose spouse (if married) did not report any disabilities or limitations in 1992. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). Both measures were adjusted for household size and expressed in constant 2015 dollars. The analysis classified respondents as having 2 or more ADL limitations if they or their spouse reported any difficulty with at least 2 of the following activities: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.
Coef.=coefficient; S.E. = standard error.
* 0.01 < p < 0.05. ** p < 0.01.

 

TABLE A-14. Estimates of the Relationship between the Onset of Two or More ADL Limitations and Household Wealth for Adults Ages 70-75 in 1993
  Total Household Wealth Housing Wealth
Coef. S.E. Coef. S.E. Coef. S.E. Coef. S.E.
Waves before Disability Onset
   5 0.159 0.101 0.119 0.089 0.166 0.160 0.014 0.150
   4 0.150 0.139 0.177 0.122 0.186 0.220 0.083 0.206
   3 -0.080 0.128 -0.083 0.113 -0.047 0.202 -0.221 0.190
   2 -0.127 0.117 -0.091 0.102 -0.095 0.184 -0.252 0.172
   1 -0.467** 0.107 -0.415** 0.095 -0.442** 0.169 -0.642** 0.159
Disability Onset -0.940** 0.106 -0.858** 0.094 -1.099** 0.167 -1.290** 0.158
Waves after Onset
   1 -1.058** 0.126 -0.866** 0.111 -1.117** 0.199 -1.138** 0.187
   2 -0.950** 0.149 -0.766** 0.131 -1.041** 0.235 -1.031** 0.221
   3 -0.963** 0.114 -0.748** 0.100 -0.641** 0.180 -0.614** 0.169
Age -0.089** 0.015 -0.060** 0.013 -0.294** 0.024 -0.231** 0.022
Female     0.268** 0.051     0.167 0.086
Education
   Did not complete high school     -1.229** 0.055     -0.938** 0.092
   [Ref: High school graduate]                
   Some college     0.547** 0.156     0.875** 0.263
   Bachelor's degree     0.822** 0.078     0.723** 0.132
   Postgraduate degree     1.004** 0.098     1.094** 0.164
Race and ethnicity
   [Ref: NonHispanic White]                
   African American     -2.169** 0.075     -1.057** 0.127
   Hispanic     -2.068** 0.107     -1.298** 0.179
   Other race     -3.523** 0.213     -3.497** 0.358
Marital Status
   [Ref: Married]                
   Divorced or separated     -2.317** 0.103     -4.505** 0.174
   Widowed     -0.838** 0.055     -1.909** 0.092
   Never married     -2.133** 0.145     -5.014** 0.245
Year
   1993 -1.530** 0.314 -1.141** 0.277 -2.990** 0.495 -2.471** 0.465
   1995 -1.144** 0.290 -0.829** 0.255 -2.445** 0.457 -2.030** 0.429
   1998 -0.867** 0.262 -0.605** 0.231 -1.752** 0.413 -1.403** 0.388
   2000 -0.603* 0.239 -0.402 0.210 -1.247** 0.377 -0.983** 0.354
   2002 -0.399 0.217 -0.276 0.191 -0.872* 0.343 -0.709* 0.322
   2004 -0.244 0.201 -0.132 0.177 -0.519 0.317 -0.374 0.298
   2006 -0.170 0.189 -0.091 0.166 -0.231 0.298 -0.134 0.279
   2008 0.082 0.182 0.133 0.159 -0.052 0.287 0.002 0.268
   2010 0.060 0.184 0.073 0.162 0.489 0.291 0.512 0.272
   [Ref: 2012]                
Intercept 19.148** 1.363 17.923** 1.204 33.635** 2.149 30.015** 2.027
Adjusted R-squared 0.0198   0.246   0.035   0.154  
SOURCE: Author's computations from the 1993-2012 waves of the HRS.
NOTES: Estimates came from ordinary least squares regressions of the natural logarithm of total household wealth and the natural logarithm of housing wealth. We estimated the regressions on a pooled sample of 14,717 observations from 1993 to 2012 on respondents ages 70-75 in 1993 who did not report any ADL or IADL limitations in 1993 and whose spouse (if married) did not report any disabilities or limitations in 1993. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). Both measures were adjusted for household size and expressed in constant 2015 dollars. The analysis classified respondents as having 2 or more ADL limitations if they or their spouse reported any difficulty with at least 2 of the following activities: dressing, walking across a room, bathing or showering, eating, getting in or out of bed, or using the toilet. Only limitations expected to last at least 3 months that resulted from health or memory problems were considered.
Coef.=coefficient; S.E. = standard error.
* 0.01 < p < 0.05. ** p < 0.01.

 

TABLE A-15. Estimates of the Relationship between Nursing Home Entry and Household Wealth for Adults Ages 70-75 in 1993
  Total Household Wealth Housing Wealth
Coef. S.E. Coef. S.E. Coef. S.E. Coef. S.E.
Waves before Disability Onset
   5 0.102 0.096 0.034 0.084 -0.011 0.150 0.002 0.142
   4 -0.010 0.150 -0.044 0.131 -0.228 0.235 -0.201 0.221
   3 -0.343* 0.143 -0.323** 0.125 -0.666** 0.224 -0.577** 0.211
   2 -0.549** 0.139 -0.497** 0.122 -0.740** 0.219 -0.609** 0.205
   1 -0.951** 0.140 -0.864** 0.123 -1.628** 0.220 -1.491** 0.206
Disability Onset -2.138** 0.156 -1.962** 0.137 -3.541** 0.245 -3.319** 0.230
Waves after Onset
   1 -2.663** 0.210 -2.352** 0.184 -3.765** 0.330 -3.385** 0.310
   2 -2.503** 0.286 -2.201** 0.251 -3.224** 0.450 -2.856** 0.423
   3 -2.197** 0.257 -1.712** 0.226 -2.507** 0.405 -2.015** 0.381
Age -0.075** 0.015 -0.051** 0.013 -0.267** 0.023 -0.215** 0.022
Female     0.266** 0.051     0.173* 0.085
Education
   Did not complete high school     -1.266** 0.054     -0.986** 0.091
   [Ref: High school graduate]                
   Some college     0.529** 0.155     0.843** 0.261
   Bachelor's degree     0.781** 0.078     0.647** 0.131
   Postgraduate degree     0.962** 0.097     1.020** 0.163
Race and ethnicity
   [Ref: NonHispanic White]                
   African American     -2.175** 0.074     -1.066** 0.125
   Hispanic     -2.159** 0.106     -1.440** 0.178
   Other race     -3.490** 0.211     -3.468** 0.355
Marital Status
   [Ref: Married]                
   Divorced or separated     -2.263** 0.102     -4.427** 0.172
   Widowed     -0.738** 0.054     -1.753** 0.090
   Never married     -1.982** 0.144     -4.791** 0.242
Year
   1993 -1.374** 0.310 -1.029** 0.273 -2.854** 0.488 -2.445** 0.459
   1995 -1.056** 0.286 -0.777** 0.252 -2.396** 0.450 -2.086** 0.423
   1998 -0.838** 0.259 -0.597** 0.228 -1.772** 0.408 -1.508** 0.383
   2000 -0.616** 0.237 -0.425* 0.208 -1.321** 0.372 -1.127** 0.350
   2002 -0.442* 0.216 -0.320 0.189 -0.964** 0.339 -0.857** 0.319
   2004 -0.276 0.200 -0.164 0.176 -0.568 0.315 -0.472 0.296
   2006 -0.191 0.188 -0.113 0.165 -0.257 0.296 -0.202 0.278
   2008 0.069 0.181 0.123 0.159 -0.049 0.285 -0.024 0.267
   2010 0.071 0.183 0.082 0.160 0.531 0.288 0.535* 0.270
   [Ref: 2012]                
Intercept 18.007** 1.354 17.135** 1.194 31.579** 2.130 28.799** 2.010
Adjusted R-squared 0.036   0.260   0.056   0.170  
SOURCE: Author's computations from the 1993-2012 waves of the HRS.
NOTES: Estimates came from ordinary least squares regressions of the natural logarithm of total household wealth and the natural logarithm of housing wealth. We estimated the regressions on a pooled sample of 14,717 observations from 1993 to 2012 on respondents ages 70-75 in 1993 who did not report any ADL or IADL limitations in 1993 and whose spouse (if married) did not report any limitations in 1993. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). Both measures were adjusted for household size and expressed in constant 2015 dollars. The analysis considered only nursing home care that lasted at least 90 days.
Coef.=coefficient; S.E. = standard error.
* 0.01 < p < 0.05. ** p < 0.01.

 

TABLE A-16. Estimates of the Relationship between the Initial Receipt of Medicaid-Financed Nursing Home Care and Household Wealth for Adults Ages 70-75 in 1993
  Total Household Wealth Housing Wealth
Coef. S.E. Coef. S.E. Coef. S.E. Coef. S.E.
Waves before Disability Onset
   5 -1.683** 0.133 -1.114** 0.119 -1.922** 0.216 -1.349** 0.205
   4 -1.949** 0.213 -1.306** 0.190 -2.344** 0.347 -1.658** 0.329
   3 -2.324** 0.204 -1.591** 0.182 -2.964** 0.332 -2.150** 0.315
   2 -3.102** 0.199 -2.342** 0.177 -3.412** 0.323 -2.577** 0.307
   1 -3.331** 0.200 -2.537** 0.178 -3.153** 0.325 -2.217** 0.308
Disability Onset -5.257** 0.225 -4.397** 0.201 -4.891** 0.366 -3.960** 0.347
Waves after Onset
   1 -6.518** 0.320 -5.465** 0.285 -6.221** 0.520 -5.150** 0.493
   2 -4.520** 0.479 -3.575** 0.427 -4.473** 0.779 -3.416** 0.738
   3 -5.989** 0.565 -4.007** 0.504 -6.277** 0.919 -4.478** 0.872
Age -0.071** 0.014 -0.056** 0.013 -0.276** 0.023 -0.231** 0.022
Female     0.145** 0.049     0.051 0.085
Education
   Did not complete high school     -1.101** 0.053     -0.811** 0.091
   [Ref: High school graduate]                
   Some college     0.414** 0.150     0.760** 0.260
   Bachelor's degree     0.721** 0.075     0.621** 0.130
   Postgraduate degree     0.895** 0.094     0.983** 0.163
Race and ethnicity
   [Ref: NonHispanic White]                
   African American     -2.031** 0.072     -0.934** 0.125
   Hispanic     -2.102** 0.103     -1.348** 0.177
   Other race     -3.484** 0.205     -3.443** 0.354
Marital Status
   [Ref: Married]                
   Divorced or separated     -2.162** 0.099     -4.317** 0.171
   Widowed     -0.678** 0.052     -1.709** 0.090
   Never married     -1.796** 0.140     -4.660** 0.242
Year
   1993 -1.024** 0.296 -0.871** 0.264 -2.470** 0.481 -2.223** 0.457
   1995 -0.716** 0.273 -0.612* 0.243 -2.017** 0.444 -1.857** 0.421
   1998 -0.515* 0.247 -0.433* 0.220 -1.409** 0.402 -1.283** 0.381
   2000 -0.298 0.225 -0.250 0.201 -0.961** 0.367 -0.892* 0.347
   2002 -0.151 0.205 -0.151 0.183 -0.627 0.334 -0.628* 0.316
   2004 -0.016 0.191 -0.012 0.170 -0.276 0.310 -0.279 0.293
   2006 -0.006 0.179 -0.009 0.159 -0.048 0.291 -0.066 0.275
   2008 0.239 0.173 0.225 0.154 0.101 0.281 0.058 0.266
   2010 0.204 0.175 0.170 0.156 0.612* 0.284 0.570* 0.269
   [Ref: 2012]                
Intercept 17.568** 1.293 17.303** 1.158 32.011** 2.103 29.715 2.002
Adjusted R-squared 0.118   0.302   0.075   0.173  
SOURCE: Author's computations from the 1992-2012 waves of the HRS.
NOTES: Estimates came from ordinary least squares regressions of the natural logarithm of total household wealth and the natural logarithm of housing wealth. We estimated the regressions on a pooled sample of 14,717 observations from 1993 to 2012 on respondents ages 70-75 in 1993 who did not report any work disabilities or any ADL or IADL limitations in 1993 and whose spouse (if married) did not report any disabilities or limitations in 1993. Total household wealth included the value of housing, other real estate, businesses, vehicles, and financial assets, net of debt. Housing wealth included the value of first and second homes, net of any housing debt (including outstanding mortgages, home loans, and home equity lines of credit). Both measures were adjusted for household size and expressed in constant 2015 dollars.
Coef.=coefficient; S.E. = standard error.
* 0.01 < p < 0.05. ** p < 0.01.

 

ABOUT THE AUTHOR:

Richard W. Johnson is a senior fellow in the Income and Benefits Policy Center at the Urban Institute, where he directs the Program on Retirement Policy. His current research focuses on older Americans' employment and retirement decisions, LTSS for older adults with disabilities, and state and local pensions. Recent studies have examined job loss at older ages, occupational change after age 50, and the impact of the 2007-2009 recession and its aftermath on older workers and future retirement incomes. He earned his AB from Princeton University and his PhD from the University of Pennsylvania, both in economics.


Where Do People with Disabilities Live?

This report was prepared under contract #HHSP23320100025W1 between the U.S. Department of Health and Human Services (HHS), Office of Disability, Aging and Long-Term Care Policy (DALTCP) and the Urban Institute. For additional information about this subject, you can visit the DALTCP home page at http://aspe.hhs.gov/office-disability-aging-and-long-term-care-policy-daltcp or contact the ASPE Project Officers, John Drabek and Pamela Doty, at HHS/ASPE/DALTCP, Room 424E, H.H. Humphrey Building, 200 Independence Avenue, S.W., Washington, D.C. 20201; John.Drabek@hhs.gov, Pamela.Doty@hhs.gov.

Reports Available

How Much Nursing Home Care Can Home Equity Finance?

Later-Life Household Wealth Before and After Disability Onset

Older Adults' Living Expenses and the Adequacy of Income Allowances for Medicaid Home and Community-Based Services