AGING AND HOUSING EQUITY: ANOTHER LOOK by Steven F. Venti and David A. Wise Revised July 2001 Prepared for the conference on the Economics of Aging May 17-20, 2001 We thank the National Institute on Aging and the Hoover Institution for Financial Support. ABSTRACT Aside from Social Security and, for some, employer-provided pensions, housing equity is the principle asset of a large fraction of older Americans. Many retired persons have essentially no financial assets to support retirement consumption. We use data from the Health and Retirement Study (HRS), the Asset and Health Dynamics Among the Oldest Old (AHEAD), and the Survey of Income and Program Participation (SIPP) to understand the extent to which families use housing equity to support general consumption in retirement. The analysis is based in part on self-assessed home values reported by survey respondents. Because the self-assessments exaggerate actual home equity, much of the analysis is based on the selling price of recently sold homes, together with the reported equity in recently purchased homes. Homeowners can change home equity by either discontinuing ownership or by purchasing another home of lesser or greater value. We find that in the absence of a precipitating shock--death of a spouse or entry of a family member into a nursing home--families are unlikely to discontinue home ownership. And even when there is a precipitating shock, discontinuing ownership is the exception rather than the rule. On average, families that move and purchase a new home tend to increase home equity. We find, however, that income-poor and house-rich families are more likely to reduce equity when they move, while house-poor and income-rich households are more likely to increase housing equity. Overall, accounting for discontinuing ownership and moving to another home, housing equity increases with age until about age 75 and then declines slightly as households grow older. The overall decline among older households (surveyed in the AHEAD) is about 1.76 percent per year, and this decline is largely accounted for by a 7.84 percent decline among households who experience a precipitating shock. Families that remain intact reduce housing equity very little, about 0.11 percent per year for two- person households and 1.15 percent per year for one-person households. We conclude that, on average, home equity is typically not liquidated to support general non-housing consumption needs as households age. Page 1 Except for Social Security and, for some, employer-provided pension assets, housing equity is the most important asset of a large fraction of older Americans. In principle, these assets might be used to support consumption after retirement. In this paper we take another look at the change in the home equity of older families as they age, beginning at ages just before retirement. We use data from the Health and Retirement Study (HRS), the Asset and Health Dynamics Among the Oldest Old (AHEAD) survey, as well as the Survey of Income and Program Participation (SIPP). We distinguish changes in housing equity that may might be thought of as part of a financial plan to use housing equity as a means of general support in retirement from changes in housing equity that are precipitated by family shocks--death or severe illness. This paper continues the analysis we began in Venti and Wise [2001], based on the SIPP and on the first three waves of AHEAD. In that analysis, we found that in the absence of changes in household structure, most elderly families are unlikely to move.1 We found that even among movers, those families that continue to own typically do not reduce home equity. However, precipitating shocks, like the death of a spouse or entry to a nursing home, sometimes lead to liquidation of home equity. Home equity, we concluded, is typically not liquidated to support general non-housing consumption needs. The present analysis is an extension of this previous work. Here we use both the HRS and AHEAD data, as well as data from eight panels of the SIPP. Again, the 1 The AHEAD initially surveyed persons age 70 and over in 1993 and resurveyed them in 1995 as part of the second wave of AHEAD and resurveyed them again in 1998 as part of the fourth wave of the HRS. For convenience we refer to these surveys as the first three waves of AHEAD. Page 2 key question is whether housing wealth is typically used to support the general consumption of older persons as they age, although the analysis is based on more extensive data. The present analysis also presents a more formal accounting for the change in home equity when ownership is discontinued and the change in home equity from moving to another owned unit ( “up-sizing” or “down-sizing”). In addition we give brief consideration to parallel changes in non-housing assets as persons age. In earlier papers--Venti and Wise [1989, 1990]–we concluded that households “don’t want to reduce housing equity” as they age. We found that large reductions in home equity were typically associated with the death of a spouse, retirement, or with other precipitating shocks. These analyses were based on the Retirement History Survey (RHS) and covered persons in the 58 to 73 age range. Merrill [1984], based on the Retirement History Survey (RHS), found that unless there was a change in family status there was little if any reduction in housing equity as families aged Feinstein and McFadden [1989], based on the Panel Survey of Income Dynamics (PSID), including households with heads over age 75, also concluded that in the absence of change in family status housing equity was typically not reduced. Megbolugbe, Sa-Aadu, and Shilling [1997] also used the PSID and found that the change in housing equity varied by age. The oldest households (age 75+) were as likely to trade up as to trade down when they moved. Sheiner and Weil (1993) found some decline in home equity at older ages, but these declines were primarily associated with shocks to family status and health. Hurd [1999], in a general analysis of wealth change based on the first two waves of the AHEAD, concluded that there was a modest decline in housing wealth and rates of home ownership for two-person households that survived the two year period intact, but larger declines for two-person households that lost a member between the waves. He also found that total wealth increased between the waves for all types of households and at all ages. Page 3 Whether the elderly perceive home equity as a source of funds for general consumption as they grow older is an important issue for at least two reasons. A concern of some is that older households have substantial wealth locked in illiquid housing and would like to release it. A proposed solution to this perceived “problem” is a reverse annuity mortgage that allows the household to draw down home equity while remaining in the home. To date, there has been little apparent interest in reverse mortgages. It is not clear whether the failure is due to unfavorable financial terms of reverse mortgages or simply to a lack of demand for a product that is intended to exhaust housing equity over the life of the occupant. Several studies, including Venti and Wise [1991], Mayer and Simons [1994], and Merrill, Finkel, and Kutty [1994], have shown that a significant segment of the population appears to be “income-poor and house-rich,” and might benefit from a reverse mortgage. We concluded in our earlier analyses, however, that the equity choices of older persons were inconsistent with substantial interest in such products. Nonetheless, knowing whether older households wish to withdraw assets from housing equity helps to evaluate the extent of the potential market for reverse mortgages, and we judge it important to revisit the issue. A second reason to consider whether the elderly plan to, or will, use home equity to support general consumption is to understand the adequacy of saving for retirement. If housing equity is used just like financial assets to support consumption after retirement, then it might also be considered as a substitute for financial wealth and perhaps treated interchangeably with financial wealth in considering the well-being of the elderly. On the other hand, if households do not plan to be drawn down home equity as they age, it may be more realistic to assume that general consumption expenditures will come largely from accumulated financial wealth, including Social Security and other annuities. Analysts considering how well households are prepared for retirement have treated housing equity in various ways. Moore and Mitchell [2000] Page 4 include housing wealth in the set of assets that can be used to finance retirement. The Congressional Budget Office [1993] also includes housing wealth with other wealth. On the other hand, Bernheim [1992] in considering “Is the Baby Boom Generation Preparing Adequately for Retirement” excluded housing wealth in making a determination. Engen and Gale [1999] include zero, 50 percent, and 100 percent of housing equity. Gustman and Steinmeier [1999] conduct analyses using zero and 100 percent of home equity. In this paper we first consider the relationship between age and housing equity over the life cycle, based on data from the SIPP. This analysis is drawn largely from Venti and Wise [2001]. The results are based on cohort analysis and are presented graphically. Next, we present more detailed cohort analysis for older households, based on the HRS and the AHEAD data. In much of this cohort analysis, the data from these two surveys are combined. Put in many instances the cohort data for older households are shown separately. We then focus on within household changes in housing equity, giving particular attention to the effect of precipitating shocks. We find that on average there is no reduction in housing equity among persons who continue to own homes, even as they age through their eighties and even into their nineties. Indeed, persons who sell one house and buy another tend to increase housing equity, on average. Large reductions in housing equity are, on average, typically associated only with selling and discontinuing home ownership. Giving up ownership is most often associated with the death of a spouse or entry into a nursing home. In these cases, home equity may be used to pay medical expenses or indeed to support more general consumption of a surviving spouse, although we have not attempted here to document such expenditures. In general, however, we find that home equity is not systematically converted to liquid assets to support non-housing consumption. Page 5 Finally, our analysis draws attention to two limiting features of the HRS and AHEAD data. The first feature concerns the use of imputations in analysis of panel data. Our earlier analysis of the AHEAD data was based on preliminary releases of AHEAD wave 2 and HRS wave 4 (the third wave of AHEAD). In the current paper we use more recent releases of the second wave of AHEAD and the fourth wave of the HRS that include asset imputations–including home equity--provided by the HRS staff.2 Tabulations from the new data sources are similar, to tabulations presented in Venti and Wise [2001] that did not use these imputations. We find, however, that in many instances the imputations appear to increase the “randomness” in the data. This is perhaps not surprising, given that imputed values are “hot-decked,” based on contemporaneous cross-section data. In panel applications, the imputed values should be based on both family-specific longitudinal data, as well as cross-section data. In this paper, all analyses using the “selling price” data (section C.5 forward) drop imputed observations. A second, related, concern is the large number of inconsistent responses in the reported data, particularly when comparing “move” and “stay” transitions to “own” and “rent” housing tenures. For example, many households are reported to own in one wave then rent in the next, and then return to ownership in the third wave, without reporting a move between either the first and second waves, or between the second and third waves. Many of these households begin and end with the same (or similar) home equity. Most of these anomalies are apparently reporting errors. Each such error results in two changes in housing equity that are of equal magnitude but opposite sign and thus may have a large effect on calculated changes in home equity. In some of our analyses we have dropped observations that reported a change in tenure but did not 2 The newer data also use additional information on death and nursing home entry that has recently become available. Page 6 report a move. We also find many unrealistically large wave-to-wave swings in home equity among households that stay in the same home. These apparent errors are comparable in magnitude to the changes in home equity reported by movers.3 Much of the analysis in this paper is based on recent selling prices and on the reported equity in newly purchased homes. We believe these data are likely to be the most reliable data on home equity. We also have given considerable attention to evaluating the extent of bias in self-assessed home values. Thus on balance, while we believe that more attention can be given to improving the data, we are comfortable with our principle conclusions. A. COHORT DESCRIPTION 1. SIPP Data on Home Ownership and Equity over the Life Course The SIPP provides housing equity (obtained from home value and mortgage debt) data for seven years - 1984, 1985, 1987, 1988, 1991, 1993 and 1995.4 From the random sample of cross-section data in each of these years we have created cohort data. For example, to trace the home equity of persons who were age 26 in 1984, we 3 The HRS is currently using “call-back” procedures to resolve these issues. 4 The survey panels and wave that provide the data are as follows: Panel Wave Dates in Field 1984 4 Sept-Dec 1984 1984 7 Sept-Dec 1985 1985 3 Sept-Dec 1985 1985 7 Jan-Apr 1987 1986 4 Jan-Apr 1987 1986 7 Jan-Apr 1988 1987 4 Feb-May 1988 1990 4 Feb-May 1991 1991 7 Feb-May 1993 1992 4 Feb-May 1993 1993 7 Feb-May 1995 Page 7 begin with the average home equity of persons age 26, based on the random sample of persons age 26 in 1984 survey. Next we obtain the average equity of persons age 27 from the 1985 survey, age 29 in the 1987 survey, and so forth. We identify cohorts by their age in the 1984 survey. We do this for 17 cohorts defined by the age of the cohort in the first year of the data. In fact, to obtain more precise estimates of housing equity, the data for a cohort, like age 26, is the average of data for a three-year age interval –25, 26, and 27. We do this for cohorts, age 26, 29, ...to age 71,74. All cohorts are followed until age 80 in the SIPP.5 Figure 1 shows the percent of two-person households who own a home, by cohort. These data can be affected by differential mortality. For example, suppose that home owners were less likely to die at any age than renters. In this case, the ownership rate would be increased with age simply because the owners lived and the renters died. To account for this possibility, we made a mortality correction to the data, which is explained in the appendix. The mortality-corrected data for two person households is shown in Figure 1. To make the figure easier to read, only selected cohorts are shown. The key message of the figure is that home ownership does not decline with age, through age 79. In addition, there appear to be no important cohort effects until about age 70. That is, there are no large jumps when the data for one cohort ends and the data for another cohort begins. At older ages, however, there do appear to be noticeable cohort effects. Home ownership is lower for the last two cohorts. But like the trends for the other cohorts, there is no evident decline in ownership as these cohorts age. Home ownership data for one-person households are shown in Figure 2. Again there is no apparent decline in ownership with age, though age 79. Indeed, the data seem to show some increase in ownership at the oldest ages. 5 Data for households over age 80 are not used because age is top coded at 80. Page 8 Cohort home equity data for two-person families are shown in Figure 3. These data in 1995 dollars and are corrected for mortality. The within-cohort data show no decline in home equity as the cohort ages. The data may even show some increase in equity within cohorts for ages 65 to 79. There do appear to be some cohort effects in equity, as evidenced by the jumps when the data for one cohort ends and the data for another cohort begins. In estimates reported in Venti and Wise [2001] we show rather systematic cohort effects. The estimates show that both older cohorts–those over age 70 in 1984--and younger cohorts–those younger than 36 in 1984--have lower home equity than the average, while the middle-aged cohorts have higher equity than the average. The cohort effects are likely determined in large part by differences in housing price changes over time.6 Figure 4 shows the cohort equity data for one-person households, corrected for mortality and inflation. As with the two-person households, there seems to be no decline in equity through age 79. 2. AT OLDER AGES: HRS and AHEAD To understand trends in home equity at older ages, we use the AHEAD as well as the HRS. Both are panel studies. The HRS follows persons in households with heads age 51 to 61 in 1992. Members of these households were interviewed in 1992 and again in 1994, 1996, and 1998. In 1998, the heads were age 57 to 67. Thus this age range is included within the SIPP ages. The AHEAD study follows persons in 6 For example, assume that homes are bought at age 35 on average, and consider the cohort that was age 50 in 1984 compared to the cohort that was age 38 in 1984. The older cohort bought homes in 1969 on average and would have gained from large home price increases in the 1970s. On the other hand, the younger cohort would have bought homes in 1981 on average and would have seen much lower increases in home equity during the 1980s and 1990s. Page 9 households with heads age 70 and older in 1993. These households were interviewed in 1993 and again in 1995 and in 1998 (as part of the fourth wave of the HRS.7 The AHEAD age range overlaps the older SIPP ages. Thus both HRS and AHEAD allow comparison with components of the longer life cycle SIPP data. Details of the survey design are presented in Juster and Suzman [1995]. In this analysis, we follow households in both the AHEAD and HRS files. One complication is tracking households over time. A household may split through divorce or separation, members may die, or a family member may enter a nursing home. For the purposes of this analysis, we have adopted these conventions: In the first wave of each survey households are identified as either one-person or two-person households (institutionalized persons are excluded from the original sample). In subsequent survey waves we classify each household--according to the change since the prior wave--into one of the following six “states”: “1" Continuing one-person household “2" Continuing two-person household “D” One of the original members has died “T” Both of the original members have died “N” One or more members has entered a nursing home “S” Household composition has changed for some other reason (most often a split through divorce or separation or the addition of a new adult member.) “0" Household refused the interview or is missing for other reasons The sequences observed in the HRS and AHEAD are presented in Tables 1. These sequences are used to distinguish households included in analyses below. In cohort analysis in the next section we restrict attention to continuing two-person or one- person households identified as “2222" or “1111" for the HRS and “222” or “111" for the 7 Juster and Suzman [1995] provide details of the survey design. Page 10 AHEAD. In the following section we consider changes in housing equity and other assets between waves. For this analysis we use each two-period sequence (creating an “interval”), and we focus in particular on the within household relationship between home ownership and home equity on the one hand and change in household composition on the other hand. We consider cohort data on home ownership first. Then we consider cohort data on home equity, as well as non-housing net assets. a. Home Ownership To obtain cohort data comparable to the SIPP cohort data, we construct cohorts from the HRS and AHEAD data by grouping households in two-year age intervals. These constructed cohorts are the basis for the cohort data shown below. The home ownership cohort data for two-person families are shown in Figure 5a, which covers ages from 50 to 93. To make the individual cohort data easier to view, only selected–largely non-overlapping–cohorts are shown. Overall, the within-cohort data show an increase in home ownership through age 70. Thereafter the cohort data suggest a small decline in ownership. Cohort data for the older AHEAD households are shown separately in Figure 5b. A more detailed analysis of these data, presented below, shows that for the AHEAD sample the within-cohort decline in ownership for continuing two-person households is about 0.66 percent per year for cohorts age 70 to 78 in the initial year and 0.34 percent for cohorts age 80 or more in the initial year. A comparison of these data with the SIPP data in Figure 1 shows that for persons age 50 to 79 the SIPP and the HRS-AHEAD data are very similar. Both data sources show ownership rates of about 90 percent for families over age 60. The within-cohort SIPP data, however, show no decline in ownership through age 79. The pattern of home ownership for continuing one-person households, shown in Figure 6a, is quite different. The within-cohort data for one person households show a Page 11 distinct rise in ownership between ages 50 and 75 and a decline in ownership at older ages. The cohort data for the AHEAD households is shown separately in Figure 6b. The within-cohort decline for the continuing one-person AHEAD households is about 0.66 percent per year for cohorts age 70 to 78 in the initial year and 1.82 percent for cohorts age 80 or more in the initial year. (Some of the decline in these cohort profiles is apparently the result of reporting errors. The within-cohort profiles for the AHEAD households in Figures 6a and 6b become flat when households who report a change in ownership status, but do not report having moved, are deleted from the same, as discussed in section C.2 below.) The HRS-AHEAD data for the 50 to 75 age group are comparable to the SIPP data for this group. b. Home Equity Mean home equity cohort data for two-person households are shown in Figure 7a.8 These within cohort data show an increase in home equity through about age 70 or 75. The data for the AHEAD households are shown separately in Figure 7b. At older ages, the randomness in the within cohort trends make it hard to see clear trends, although there appears to be a within cohort decline in equity. In fact, data presented below show that the average mean decline is about $2,100 per year, which is largely accounted for by the reported decline the same-home equity of continuing owners. The home equity cohort data for one-person households are shown in Figure 8a, and separately for the AHEAD households in Figure 8b. As with the two-person households, there is a clear within-cohort increase in home equity through age 70 or 75. At older ages a consistent within-cohort trend is not apparent. Data presented below show that the average decline is about $3,000 per year, again, largely accounted for by 8 All dollar amounts for the SIPP and AHEAD have been converted to 1998 dollars using the CPI. Page 12 the reported decline the same-home equity of continuing owners. There appear to be substantial differences in home equity by cohort, although the randomness in the data make it hard to distinguish cohort effects from within-cohort changes in home equity. Median cohort data for two- and one-person households are shown in Figures 9 and 10 respectively. There is less randomness in the median data than in the mean data and thus within cohort trends are easier to discern in there figures. For example, for older two-person households the medians suggest modest within cohort decline in home equity beginning at about age 75, but cohort effects are not apparent. On the other hand, the median cohort data for older one-person households show little within- cohort decline in home equity but rather substantial cohort effects. Older cohorts seem to have successively less home equity. Below, we present quantitative estimates of the within-cohort changes in home equity. c. Non-Home Equity In considering the equity value of housing as these cohorts aged, it is informative to compare the value of housing with other assets. Cohort data on non-housing assets are shown in Figures 11 through 14. Like the home equity data, mean and median cohort data are shown for two- and one-person households. And separate figures are shown for the older AHEAD households. As with the home equity data, the trends in the non-home equity data for the HRS households is quite clear. But the enormous randomness in the data make the cohort data for the AHEAD households much harder to interpret. Nonetheless, some trends are clear form the cohort data. (Below we show quantitative within-cohort changes in non-home assets, as well as home equity.) First, it is clear for the HRS households that both home equity and housing increased with age, but the non-housing assets increased much more. For example, from Figure 7a it can be seen that the mean home equity of continuing two-person Page 13 households increased from about $80,000 at age 50 to about $120,000 for households in their early 70s. There seem to be no apparent cohort effects. In Figure 11a, it can be seen that non-housing assets of the HRS households increased from about $200,000 at age 50 to close to $400,000 at age 74, about five times as much as the increase in home equity. Again, cohort effects are not apparent in this age range. In future analysis we will try to determine which components of non-equity assets account for the large increase. Second, for the older HRS households there are also large within-cohort increases in non-equity assets. For the older households, however, there are also large cohort effects, with successively older cohorts having lower non-housing assets. And, for the older cohorts there is some within-cohort decline in home equity. It may be that there are in fact very large wave to wave changes in both home equity and non-housing assets. We believe, however, that the data is likely to reflect substantial errors. Thus further “cleaning” of the data might result in more consistent cohort patterns. The further cleaning would have to be based on joint evaluation of all assets over all waves of the HRS and AHEAD surveys–looking perhaps at a X x Y matrix of data for each household. In principle, the cohort data could be parameterized–with assets related to a flexible function of age, with cohort effects, for example. But at this point, we have not found a parameterization f the non-equity data that adequately “fits” the cohort patterns. C. FAMILY STATUS AND HOME EQUITY: HRS and AHEAD We now turn to the relationship between changes in home equity and changes in family structure. Again we consider two- and one-person households separately and provide separate estimates for the HRS and the AHEAD families. Before considering within-cohort household transitions, cross-section summary data on household tenure Page 14 (own, or rent or other combined) are shown by age and household structure (one- person or two-person) in Table 2. Home ownership of two-person families exceeds 90 percent between ages 54 and 74 and then declines to around 80 percent at ages 85 and older. For one-person families, home ownership increases to about 68 percent for age 70 to 74 households and then declines to about 50 percent for households age 85 and older. The home ownership rate for one-person households peaks in the 70-74 age range, declines modestly over the next decade, then falls sharply after age. 1. Within-Household Transitions We focus on the events that precipitate changes in home ownership and the changes in home equity that are associated with the ownership changes. Table 3 shows ownership transitions between consecutive survey waves (an “interval”). The first two panels of the table pertain to households that owned a home at the beginning of the interval. The third and fourth panels pertain to households that did not own a home at the beginning of the interval. The table entries show the percent of households who make a transition between adjacent waves of each survey. For example, the transition labeled “22" identifies two-person household at the beginning and at the at the beginning of the interval (the first of the two waves) and at the end of the period (in the subsequent wave). The HRS yields as many as three transitions (wave1 to wave 2, wave 2 to wave 3, and wave 3 to wave 4) and each represents a two year interval. The AHEAD yields two transitions. The first interval is two years and the second three years. All intervals in the HRS are combined to obtain the HRS results, and all interval in the AHEAD are combined to obtain the AHEAD results. Consider first the top panel of the table which pertains to the HRS households who were homeowners at the beginning of an interval. The first column shows the percent of households that own and the percent that rent (or have some other living Page 15 arrangement) at the end of the interval. Of continuing two persons households, 98.3 percent still owned at the end of the interval; 1.7 percent no longer owned. The ownership of initial owners declined about 0.85 percent per year. Now consider continuing two-person HRS households who were non-owners at the beginning of the period shown in the third panel of the. Of these households 22.3 percent became owners during the interval, about 11.1 percent per year. On balance the number of homeowners increased: some initial owners became non-owners, but a larger number of initial non-owners became owners. This net addition to the homeowner group is shown graphically for the younger--HRS–cohorts in Figure 5a. The figure, however, pertains to households who continued as two-person families through all four waves of the HRS. The data for continuing two-person households in the table, however, is based on all households that continued as two person families during any two adjacent survey waves. Other rows of the first panel of Table 3 show that if a spouse dies (2D), the ownership rate remains high, at 95.6 percent. If a spouse enters a nursing home (2N) the ownership rate declines more, to 88.6 percent, although the sample of nursing home entrants is quite small for the younger HRS households.. For continuing one-person HRS households the ownership rate also remains high, at 95.2 percent. (There are only three single-person households in which the person entered a nursing home during the interval.) The percent moving between adjacent waves is shown in the next column of Table 3. Of two-person households that own in both waves, 7.1 percent moved over the two-year interval. For two-person households that change from own to rent-or- other, the move rate is an unexpectedly low 65.7 percent. It is possible that ownership is transferred from parents to children, so the parents do not move, but also no longer own. However, this low move rate is more likely a reflection of reporting error. Page 16 Inspection of some of these cases shows households owning a house of roughly constant value for three of the four waves. This evidence, combined with the absence of a move (which is verified by survey-takers), suggests errors in reporting or coding for one of the waves. Because there are a relatively small number of these households, a few errors can have a substantial effect on the move rate. Similar results for the AHEAD sample are presented in the second and fourth panels. Initial homeowners in AHEAD were also likely to remain owners unless there was a change in family status. For example, 96.9 percent of continuing two-person households continued to own. But if one of the members died the ownership rate dropped to 88.8 percent. If one of the members entered a nursing home the rate dropped to 75 percent. For continuing one-person households, 91.3 percent remain owners. But if the single person enters a nursing home, the ownership rate drops to 39.9 percent. Thus, as with the younger HRS households, in the absence on precipitating shock most AHEAD homeowners continue to own. But in the event of a shock, the decline in ownership is greater for older than for younger households. In addition, the decline is greater for one-person than for two-person households. The move rate for the older AHEAD households that own in both waves is quite low, about 3.9 percent for two-person households and 4.5 percent of one-person households. Since the interval between waves is about 2 ½ years for the AHEAD, the annual move rates are 1.6 percent and 1.8 percent respectively. Overall, Table 3 suggests that homeowner households in the HRS age group are very likely to remain owners. And even if one of the household members dies or enters a nursing home, the rate of ownership remains high. Homeowners in the AHEAD age group are also likely to continue to own unless there is a change in family status, especially continuing two-person households. When a member of this older household dies or enters a nursing home, the decline in ownership is greater than for younger Page 17 households. The greatest decline in ownership is for single-person AHEAD households who enter a nursing home. Even among this group almost 40 percent continue to own. 2. Change in Home Equity We consider changes in home equity that parallel the transitions shown in Table 3. Home equity changes are presented in two formats. The first format shows changes for all households– initial owners and initial renters-others. It shows changes for households who switch form owning to renting, as well as those switching from renting to owning. And it shows the net change in home equity for both groups combined. The second format is directed to the primary focus of our analysis, the change in home equity for initial homeowners. In this format we give particular attention to the change in the equity of movers who continue to own, compared to stayers, those who remain in the same house. Although we discuss changes based on changes in self-assessed home values here, we show below that the exaggeration of self-assessed home value impart large bias to the implied changes in home equity. Then we consider changes based on home selling prices compared to reported equity in newly purchased homes. We believe these latter data are the most reliable, as discussed below. In addition, the mover-stayer comparison is complicated by the data inconsistencies discussed in the previous section. Some households report a change in tenure without moving. While such changes are possible, we believe most such cases reflect reporting or coding errors. The information on whether a household moved since the previous wave is likely to be accurate because the prior address is incorporated in the survey question on moving.9 In all calculations reported below, we deleting all 9 For example, in wave 4 of the HRS (also wave 3 of the AHEAD) noninstitutionalized respondents were asks “Are you still living, all of the year or part of the year, in the same apartment/house in ?” Respondents in nursing homes were asked “Do you still have the same apartment/house in ?” If respondents in nursing Page 18 observations with apparent transitions involving a change in tenure without a reported move. Following this procedure, 1.1 percent of the HRS households and 3.4 percent of the AHEAD households are deleted.10 Change in home equity using the first format is presented in Table 4. The family status designations are the same as those used in Table 3. There are four tenure designations: OO, OR, RO, and RR where “O” indicates own and “R” indicates rent or other living arrangement. Large reductions in home equity are typically associated only with a home sale and subsequent rental. Those who move from renting to owning, of course, increase home equity. No matter what the change in family status, there is an increase in the average equity of HRS households (with the exception of the few 1N families). On the other hand, there is a decrease in the mean home equity of AHEAD families, no matter what the change in family status. The greatest decrease occurred when a family member entered a nursing home. For all continuing two-person households, the mean increase in housing equity was $5,937 in the HRS and -$4,817 in the AHEAD. The median increase was zero for households in each of the surveys. In general, the median changes are smaller in absolute value than the mean changes, but the relative patterns by family status and change in tenure are similar. Change in home equity using the second format is shown in Table 5. The key question here is whether continuing homeowners who move and buy another house reduce home equity more than stayers, who can serve as the “control group” in this comparison. If movers typically wanted to use some of the wealth accumulated in home equity to support other non-housing consumption, the home equity of movers would be homes answered affirmatively, they are may still be homeowners and they are not classified as movers. 10 Deleting all respondents who change tenure without moving reduces the frequency of own to rent transitions. This affects the HRS and AHEAD cohort figures presented above. In particular, the cohort profiles for one-person AHEAD households (Figures 6a and 6b) become flat. Page 19 reduced relative to the change in the equity of stayers. The first two panels of Table 5 show the mean change in housing equity for the HRS and AHEAD; the next two panels show medians. Consider the upper panel of the table, which pertains to two-person households in the HRS. The change in family status is shown on the left margin. The ownership status (tenure) at the end of the interval is shown along the top margin. A household can continue to own or become a renter (or have some other living arrangement) at the end of the interval. The change in home equity is shown for continuing owners, for renters-others, and for both groups combined (all). The initial home value for each group is shown in the right column of the table. The mean home equity of continuing two-person households increased by $5,855, on average. For those who remained home owners, equity increased by $6,569. Initial homeowners whose transition was to the rent-other group reduced home equity by $54,155 on average. The average initial home value of continuing two-person households was $102,310. Thus home equity of the home sellers was only about half of the average equity of all continuing two-person households. Some of those who continued to own stayed in the same house, others moved and bought a new house. The equity of those who stayed increased by $6,686. The equity of those who moved and bought a new house also increased, by $5,074. In somewhat more formal estimation below we use the change in the equity of the stayers as a measure of the increase the movers would have experienced had they not moved. In this case the decrease for movers was $1,612, about 1.7 percent of the initial home equity of this group. Thus these movers who bought a new home are not typically taking substantial home equity out of housing to support other consumption. By this measure, the greatest decline in home equity occurred in mover households in which a member died, although the sample sizes are small and the means are not precisely measured. For example, the home equity of the small number of two-person households who move Page 20 but continue to own when one member dies declines by $21,935. The average equity of continuing one-person HRS households declined by $697, a very small fraction of the $95,555 average initial home equity. Continuing one-person households who moved but continued to own reduced home equity by $3,739, and the stayers increased equity by $935. Using the stayers as a control, the movers reduced equity by 4.8 percent of the initial home equity of this group. In summary: the average home equity of two-person HRS households increased over this period. This was true for continuing two-person households as well as those in which a member died or in which a member entered a nursing home. The equity of one-person households declined only slightly. Continuing owners who moved typically reduced home equity only marginally, when compared to stayers.. The only substantial reduction in the home equity of continuing owners was for households in which one member died. For the older AHEAD households, changes in home equity also are typically associated with precipitating shocks. But for the older households the shocks are more frequent. Consider continuing two-person households first. The equity of continuing stayer owners (who do not move) declined by $4,103 and can serve as a base of comparison for other groups. This reduction, if taken at face value, apparently reflects a fall in the value of the homes of the older households as they continue to live in the homes, but not direct withdrawal of housing equity to support other consumption. This decline is only slightly less than the average reduction for all continuing two-person households, $5,367. Thus on average we conclude that little housing equity is taken from housing to support other consumption. Continuing homeowners who move reduce home equity by $15,877, which is $11,322 more than the reduction in home equity of the stayers. We take this to represent funds taken from housing and that might be used to support other non- Page 21 housing consumption. It represents, however, only about 10.5 percent of initial home equity for these households, and less than 4 percent of their initial non-housing wealth. Remember that the typical older household will only move once from one home to another. So if the reduction in housing equity can only be a one-time addition to funds available for other consumption. Below we show that even this small reduction is probably exaggerated and that in fact the average change is likely positive (an increase in housing equity). For continuing owners in two-person households in which a member dies or enters a nursing home, the reduction in the home equity of the movers is $14,655 greater than the reduction for the stayers. The reduction in the home equity of continuing one-person households is also small. In particular movers who continue to own reduce home equity by a small fraction of initial home equity. In summary: even among the older AHEAD households the reduction in home equity of continuing owners is small relative to initial home equity, even among those who move to a different house. Large reductions in home equity are typically observed only for home owners who move and discontinue home ownership. The probability of such a move is larger in cases of precipitating shocks. But as seen in Tables 3 and 4, even in the event of shocks to family status, most households continue to own and thus do not withdraw equity from housing to support other needs. For all HRS groups, the initial home equity of the seller (rent-other) group was much lower than the equity of the continuing owners. For the older AHEAD households the initial home equity of sellers is also less than the initial home equity of continuing owners, although the difference is much smaller than for the HRS households. Median changes in home equity are shown in bottom half of Table 5. The pattern of change is essentially the same as the pattern for mean changes. The changes, however, are typically smaller than the mean changes, in particular for the older AHEAD Page 22 households. For example, for continuing two-person households in the HRS the median increase in home equity is $1,474. The increase for continuing owner-movers is only $2,105 greater than for stayers. For continuing one-person families the median increase is $222. And the reduction for continuing owner-movers is only $1,028 greater than for stayers. Again, the conclusion is that for the most part housing equity is substantially reduced only after a precipitating shock, and even in these instances, withdrawal from home ownership is the exception and not the rule. 3. Respondent Estimates of Home Values versus Sales Prices Before turning to some simple estimation, we emphasize that respondent assessment of home equity likely overestimates home value by a substantial margin. Thus reliance on reported home values yields exaggerated reductions in housing equity when homeowners move. Substantial evidence shows that homeowners overestimate the value of their homes. Kiel and Zabel [1999]) surveyed the literature and concluded that self-reported home values exceed actual sale prices or appraisal values by -2 to 16 percent. Their own analysis showed that homeowners on average overvalue their home by 8 percent, and that owners with long tenure overvalue their houses even more. In other words, when a family moves the realized sale price is typically less than the family’s prior estimate of the home value. This creates a bias in our estimate of the change in housing equity among movers. The pre-move estimate is inflated. The post- move price is presumably “accurate” because the purchase transaction was recently completed. The estimates in Tables 4 and 5 on the change in housing equity between waves are based on HRS and AHEAD respondent self-assessment of home values and are affected by such overvaluation. The tendency to overvalue homes confounds mover- stayer comparisons. Recent movers are likely to know the market value of their homes. Stayers, on the other hand, are likely to overvalue their houses. As a result, the change Page 23 in home equity is more likely show a larger price decrease for movers than for stayers. Thus in the previous tables movers, relative to stayers, appear to be taking more equity out of their homes than is actually the case. Information obtained in both the HRS and the AHEAD allows us to gauge the extent of this bias. For households that have recently moved, the surveys inquired about the sale price of the house. The sale price can be compared to the reported value of the house in the previous wave. The survey also asks for the month and year of the sale; the month and year of the self-assessed value is the interview date. We index the pre-move assessed value of movers and the post-move price of movers to obtain measures in 1998 dollars.11 From these values we obtain estimates of the overvaluation bias. Mean and median differences between assessed values and sales prices are shown in the Table 6. The results suggest that both the HRS and the AHEAD respondents overestimated their home values by 15 to 20 percent, based on a comparison of mean values. Based on medians, home values are overestimated by 6 to 7 percent. The mean dollar differences are $20,000 to $30,000, and median dollar differences are $6,000 to $8,000. This suggests that our calculated reductions in the home equity of continuing owner-movers may be due entirely to valuation bias. For example the mean reduction of $15,887 (or $11,322 using the stayers as a control) in the home equity of two-person AHEAD families who move and continue to own would be more than accounted for by such bias. 4. More Formal Estimates of Change in Home Equity 11 Some movers are missing data for the sale price. The HRS and AHEAD provide no imputations for missing values of the sale price. A bracketing technique is used to obtain ranges for persons unable to provide a sale price, but we have made no attempt here to convert the bracketed amounts to values. The analysis is restricted to observations that specify a sale price. Page 24 Here we consider more formally the change in home equity of movers and stayers. As mentioned above, one way to think about this is to treat movers as the treatment group and stayers as the “control” group. The home equity of stayers and movers at the beginning and at the end of the interval can be represented by: Beginning End Stayers " "+t Movers " "+t+m In this case, a difference-in-difference estimate yields m, the “treatment” effect. We can estimate this for all households combined, or for any subgroup, by (1) ∆E = t + mM where t is a constant term--and represents a time (inflation) effect--and m is the additional effect for movers, with M a dummy variable identifying movers. Estimates of this equation, by change in household status, are shown in Table 7. This table presents estimates for households who owned at both the beginning and at the end of the interval. Data are presented by the subsequent–at the end of the interval–status of the initial homeowners. OLS estimates are shown in the left portion of the table. Median regression estimates are shown in the right portion of the table. The median regression estimates should be less affected than the OLS estimates by reporting errors or other outliers in the data. The key mover effect estimate, m, measures the difference between the change in the equity of stayers and the change for movers. The OLS estimates show negative mover effects in each comparison, but only the mover effects for the HRS 21 and AHEAD 11 groups are significantly different from zero at the 5 percent significance level. And, with the possible exception of the estimated mover effect for the 2 to 1 HRS households, the estimated effect is much lower than the bias suggested in Table 6. For Page 25 example, the estimated mover effect for continuing two-person households is -$1,612. Referring back to Table 6, however, we see that the bias estimate for HRS households is between $20,000 and $33,000. Thus, since most families are continuing two person families, a reasonable judgment from these data is that the equity of the continuing two- person households in fact increased by about $25,000. Coincidentally, this increase matches the estimated increased for such households based on selling prices, which is discussed below. For each of the other groups, with the exception of the 2 to 1 HRS families, the estimated mover effect is much less than the bias estimates shown in Table 6, suggesting rather large increases in home equity. For the HRS households, the median regression mover effect estimates are also small and typically not significantly different from zero. And, the estimates are less then the median bias estimates Table 6. Thus, based on the estimated mover effects in conjunction with the bias estimates, we conclude that home equity likely increases substantially when families move and buy another home. The median estimates for the AHEAD households are larger than the median HRS estimates and are more precisely measured. For the 21 and 2N groups, the estimates are greater than the bias estimates in Table 6, in particular for the 2N group. Thus these data suggest that for households in which a member dies, and for households in which a member enters a nursing home, home equity is reduced when these households move and buy again. The analysis below based on selling prices, however, suggests an increase in the median home equity of these groups as well. 5. Estimates Based on Selling Price Each home owner re-interviewed in the HRS and AHEAD is asked whether the home was sold since the previous interview. For many of these households, the selling Page 26 price is reported.12 In this section, we estimate the change in the home equity of families who sell and buy another home, and the change in equity of those who sell and then choose another tenure. Table 8 shows summary data on home equity for adjacent waves of HRS and AHEAD. The first column shows reported home equity from the first of the two waves. The second column shows the reported selling price (obtained from the second wave interview) minus the mortgage reported in the initial wave. The sale occurred sometime between the two waves, but the mortgage pertains to the data of the last interview prior to the sale. The third column shows home equity reported in the second of the two waves. For households who purchased another home (the first and third panels of the table), this is the equity in the newly purchase home. For households that did not purchase another home (the second and fourth panels), this column is zero. Like the data in Table 6 on reported home values versus selling prices, these data show that households who sell and buy another home substantially overestimate their pre-sale housing equity. For those who sell and do not purchase another home, the over-estimation is not so apparent. For several of these groups the reported equity seems to underestimate realized equity, based on selling price minus the mortgage. We believe that the reported selling price is likely to be close to the actual selling price, unlike the pre-sale assessment of home equity. The last column shows reported home equity at the end of the interval. In principle, home equity right after a purchase should also be accurately reported. For each of the intervals, the reported new home equity at the end of the period is substantially greater than gain in home equity from the sale of the prior home, suggesting that equity in the new home is greater than equity in the prior 12 There is more missing sale price data than home equity data, used in earlier sections of the paper. Home equity (home value and mortgage balance) is obtained from the Housing module. Information on the sale price is obtained from a module on Capital Gains that has more incomplete responses. There are no imputations for missing or incomplete (bracketed) sale price data. Partly for this reason, we do not use the weights when analyzing the sale price data. Page 27 home. Based on the same data, Table 9 shows the estimated change in home equity for households that have sold a home and purchased another, by change in family status. These estimates are obtained from simple OLS and median regression estimates of the form (3) ∆E = m + ε where )E is equity in the new home at the end of the period minus equity from the sale of the prior home. Here, m is the estimated increase in home equity. This specification is estimated for several years separately and for several family status change groups. For all but two groups, there is a substantial increase in home equity. Many of the estimates are for small groups, however, and are not significantly different form zero. We now consider whether the change in home equity depends on the relationship between income and housing wealth. It might be expected that persons with relatively low income and relatively high housing equity would be more likely to withdraw housing equity. And those with low equity and high income would be more likely to add to housing equity. We begin with estimates of the probability of moving and buying another home, and the probability of moving and discontinuing home ownership, thus withdrawing all housing equity. These outcomes will depend, in particular, on the level of home equity and the level of income in the initial period. Then we show estimates of the relationship between the change in equity, given a move, on the one hand, and initial income and home equity levels on the other hand. Households that own in the initial period can either stay in the same house, move to another house, or discontinue home ownership by moving to a rental apartment or some other arrangement. The probabilities of the latter two transitions may be specified as: Page 28 Pr[OmO] = c( 21 or 2 N or 1N ) + a11 + b22 + αY + βE + γY ⋅ E + ε (4) Pr[OR] = c( 21 or 2 N or 1N ) + a11 + b22 + αY + βE + γY ⋅ E + ε where OmO identifies families who sell a home, then move and buy another home (own to move to own) and OR identifies families who discontinue ownership (own to rent or other). The parameter “a” is the effect of a continuing one persons household and “b” the effect of a continuing two-person household. (The estimated parameters are of course not constrained to be the same for the OmO and OR groups.) The omitted categories, captured in the constant tern c(21, 2N, and 1N), are the 21, 2N, and 1N households. Initial period income is denoted by Y and initial home equity is denoted by E. . Here, ( indicates whether the effect of Y depends on E (or, equivalently, whether the effect of E depends on Y). Given the decision to move to another home or to discontinue ownership, we then estimate the conditional change in home equity for the two groups, given that a move occurs. The change in equity equations are in the same format, given by ∆E (OmO) = c( 21 or 2 N or 1N ) + a11 + b22 + αY + βE + γY ⋅ E + ε (5) ∆E (OR) = c( 21 or 2 N or 1N ) + a11 + b22 + αY + βE + γY ⋅ E + ε Given the estimated probabilities and conditional changes in housing equity, we can simulate the expected change in equity for homeowners as Page 29 ∆E = ∆E (OmO) + ∆E (OR) = Pr[OmO]∗ E ( ∆E| OmO ) + (6) Pr[OR]∗ E ( ∆E| OR) where the expected change in decomposed into it’s component parts. We present below the simulation for selected quantiles on income and home equity. Estimates of the probability of a move are shown in Table 10. Estimates for HRS households are shown on the first page of the table, estimates for AHEAD households on the second page. Parameter estimates are shown at the top of each page. The lower part of each page shows simulated mover probabilities at selected income and equity quantiles. The simulations show that initial income and home equity have little effect on the probabilities of moving, either to another home or to some other arrangement, although income has a statistically significant positive effect on the probability of moving and buying again in both the HRS and the AHEAD samples. Both income and home equity are statistically significant and positively related to the probability of discontinuing ownership for HRS households. But neither is statistically significant in the estimates for AHEAD households. In most of the simulations the difference in probabilities between “house-poor and income-rich” households and “house-rich and income-poor” households is only a few percentage points. Estimates of the change in home equity between the survey waves for families who move and buy anther home are shown in Table 11. These estimates are based on the sample of respondents that report a sale price for the former home and report both the home value and mortgage debt for their current home.13 Both OLS and median 13 Both the sale price of the old home and the value of and mortgage on the new home are reported in the same wave. The survey does not inquire about the mortgage Page 30 regression estimates are shown. The top half of the table shows results for HRS households and the bottom half for AHEAD households. In none of the estimates is there a statistically significant difference in the change for the 11 or for the 22 groups compared to the 21-2N-1N groups combined. However, there are substantial and significant effects for initial income and home equity. The greater the level of initial home equity (based on selling price minus the mortgage), the smaller the increase in equity when the family moves. And the larger initial income, the greater the increase in home equity for households that move. None of the equity-income interaction terms is significantly different from zero. The table also shows simulations of the change in home equity at the 20th, the 50th, and the 80th quantiles of equity and income. Evaluated at the median (50th quantile) of income and home equity, the simulated change in equity is positive for all family status groups, with the exception of the simulation for the 11 group based on median regression estimates. For all family status groups the greatest simulated reduction in home equity is at the 80th equity quartile and 20th income quantile. The greatest simulated increase in home equity at the 80th income quartile and the 20th equity quantile. Thus relatively house-rich and income-poor families reduce equity and relative house-poor and income-rich households add to home equity when they move and buy another home. For example, based on the OLS estimates for the 22 HRS households, at the high-equity-low-income quantiles home equity is reduced by -$15,422; at the low-equity-high-income quantiles home equity is increased by +$54,778. The pattern of the simulated changes based on the median regression estimates is similar to the pattern based on OLS estimates. The change (decrease) in the home equity of the families who discontinue home ownership is shown in Table 12. In this case, the decline in equity is simply the sale obligation discharged on the old home. To obtain home equity for the old home we use the mortgage reported in the prior wave. Page 31 price minus the mortgage. Thus we cannot use the initial home equity to predict the change in equity, as in Table 11 for those who sell and buy again. Thus estimates of the reduction in equity are based on income only. Essentially the estimates tell us how home equity is related to income. For this selected group of households who sell and do not buy another home, home equity is negatively related to income. Based on the simulated changes, the greatest equity reductions occur in families where a household member dies or in which a household member enters a nursing home. As a summary, the move probabilities and change in home equity results reported in Tables 10-12 are combined to calculate expected change in housing equity. These results are reported on an annual basis in Table 13. The top part of the table shows results for movers who sell and buy another house. The bottom part shows results for movers who sell and discontinue ownership. The table shows results by equity-income quantile, as in several of the tables above. But in this table, the expected change in equity is decomposed into its component parts: the probability of a move, and the change in equity given a move. For example, consider the HRS 22 households. Evaluated at the median of home equity and income, the expected increase in equity through home “upgrading” is $815. Only 3.3 percent of families upgrade each year, but those that do add $12,531 to home equity. Averaged over all HRS households, home equity is increased by $823 through selling and buying a new home. Evaluated at the median of home equity and income, about 1.5 percent of AHEAD 22 households move and buy another home each year. Those that do add $7,426 to home equity. The expected increase in home equity, averaged across all AHEAD household types, is $399. Viewed in this way, the expected changes in the equity of HRS and AHEAD households are not very different at the median: +$823 for the HRS group and +$399 for the AHEAD group. For HRS 22 households in the high-equity-low-income group, the expected Page 32 annual reduction in equity is -$486: 3.2 percent move and, given a move, the reduction in home equity is -$7,711. Averaged over all HRS households in this high-equity-low- income group, the expected reduction in home equity through selling and buying another home is -$528. The AHEAD households reveal a similar pattern, although again they are less likely to move than the younger HRS households. The estimates for persons who sell and discontinue ownership are shown in the bottom portion of the table. Again consider 22 HRS families evaluated at the median of equity and income. Only 0.7 percent of households discontinue ownership each year. Those that do reduce equity by -$29,162 on average. Averaged over all HRS 22 families, equity is reduced by -$379 through divesting of homes. This reduction can be compared to the +$815 average increase through upgrading. Overall, the average equity of all HRS households is reduced by -$610 in this way, compared to an increase of +$823 through upgrading. For all AHEAD households average equity is reduced by -$1,918 by sellers who discontinue ownership between survey waves, compared to an increase of +$399 through movers who upgrade. Table 14 presents an accounting of the expected annual change in the home equity of all HRS and of all AHEAD initial homeowners.14 The first column shows the expected change in home equity for households who move and purchase another home. (Recall that the expected change is the probability of a move times the average change in home equity given a move.) In both surveys, families that move to a new home increase home equity on average. The second column is the expected change in home equity for households that discontinue ownership. These effects are negative and largest among households experiencing precipitating shocks. The third column--the sum of the first two columns--is the net annual change in home equity. 14 Waves of the HRS were two years apart. In the AHEAD there were two years between wave 1 and wave 2, and three years between wave 2 and wave 3. Page 33 On average, HRS households increase home equity by $214 per year. AHEAD households, on average, reduce home equity by $1,918 annually. This represents a decline of about 1.76% of initial home equity. Most of this reduction is accounted for by households who experience precipitating shocks. For these households, home equity falls by almost 7.84 percent per year. For continuing one- and two-person households the changes are much smaller. Home equity of two-person households declines by 0.11 percent per year, and home equity for one-person households fell by 1.15 percent per year. Thus in the absence of precipitating shocks there is little systematic reduction in home equity as families age. Families who move to a new home increase home equity on average. Reductions in equity come from families who sell and discontinue home ownership. And most of these moves are associated with precipitating shocks to family status. We find no systematic withdrawal of home equity to support non-housing consumption. D. CONCLUSIONS Home equity is the principle asset of a large fraction of elderly Americans. In this paper we have used HRS and AHEAD panel data, as well as SIPP data, to determine whether households withdraw assets from housing equity as they age. We give particular attention to the relationship between changes in home equity and changes in household structure. There are two ways for households to change home equity: by discontinuing home ownership or by selling and moving to another home. W e find that households are unlikely to discontinue home ownership. Giving up home ownership most often follows the death of a spouse or entry of a family member into a nursing home. But even in these circumstances, selling the home is the exception and not the rule. In the absence of a precipitating shock, it is much more likely that a family will sell Page 34 and buy a new home than discontinue ownership. And, households who sell and buy again tend to increase rather than reduce home equity. That is, assets are transferred to housing. Overall--combining the effects of discontinuing ownership and moving to another home--we find that housing equity of HRS households increases with age, and the equity of AHEAD households declines slightly. The overall decline among the older AHEAD households is about 1.76 percent per year is primarily accounted for a 7.84 percent decline among households experiencing precipitating shocks to family status. Families that remain intact reduce housing equity very little, about 0.11 percent per year for two-person households and 1.15 percent per year for one-person households. We use two approaches to determine whether households wish to reduce home equity as they age. One approach is to compare changes in home equity of movers to the changes of stayers. If households are withdrawing equity when they sell and move to a new home, then the change in the equity of the movers will be smaller than the change for stayer. These results, however, are confounded by the tendency of the reported self-assessment of home valuation to exceed true home value. A comparison of the selling price of a home with the prior self-assessment of the home value shows that home values reported prior to a sale far exceed realized sales prices. Taking account of the bias, we find that the comparison of equity in the old home compared to the new home (and using the change in the home value of stayers as a control) suggests that families who sell and buy a new home increase home equity on average. The second approach is based on the comparison of the selling price of the old home (minus the mortgage on the home) with the reported equity value in the newly purchase home. We believe that these are the most reliable data on the change in home equity when an old home is sold and a new home is bought. Based on these “sale price” data, we find that on average households increase home equity when they move to a new house. We also find that equity-rich and income-poor families tend to Page 35 reduce home values when they sell and buy a new house. For continuing two-person HRS households, for example, the between-wave reduction for those at the 80th equity quantile and at the 20th income quantile is estimated to be -$15,422. On the other hand, house-poor and income-rich families tend to increase home equity when they sell and buy a new home. For continuing two-person HRS households at the 20th equity quantile and the 80th income quantile, the increase in housing equity is estimated to be +$54,778. As we emphasized in our earlier paper, these results suggest that in considering whether families have saved enough to maintain their pre-retirement standard of living after retirement, housing equity should not be counted on to support general non- housing consumption. Families apparently do not intend to save to finance general retirement consumption through investment in housing, as they might through a 401(k) plan or through some other financial form of saving. Rather the findings here, as well as our earlier findings, indicate that families purchase homes to provide an environment in which to live, even as they age through retirement years. For these reasons, they are unlikely to want reverse annuity mortgages to withdraw assets from home equity. It may be appropriate, however, to think of housing as a reserve or buffer that can be used in catastrophic circumstances that result in a change in household structure. In this case, having used the home equity along the way–through a reverse mortgage for example–would defeat the purpose of saving home equity for a “rainy day.” Although these results are based largely on new HRS and AHEAD data files, and are based on different methods of analysis, the findings correspond closely to the conclusions we reached in our earlier papers, based on different data sources. These conclusions also correspond closely to the findings of a recent survey of older households sponsored by the American Association of Retired Persons (AARP), showing that the preponderance of older families agree with the statement that: “What Page 36 I'd really like to do is stay in my current residence as long as possible’."15 Like our findings, the results of the AARP survey also imply that most households do not intend to liquidate housing equity to support non-housing retirement consumption. 15 More detail is presented in Venti and Wise [2001]. Page 37 APPENDIX: MORTALITY CORRECTION The analyses using the SIPP data are based on cohorts constructed from cross- section surveys. For example, the home ownership (or home equity) profile for a cohort is constructed by combining data for all households age A in the first survey year with data for households age A+T from a survey T years later. If the likelihood of survival from A to A+T is related to wealth, then these cohort profiles can be affected by differential mortality. We correct for this problem by reweighting the sample. Households are assigned an adjusted weight that is inversely related to the probability of survival from age A to age A+T. Baseline estimates of these survival probabilities for one and two person households are obtained from waves 1 and 2 of AHEAD. A one-person household “survives” if the person is present in waves 1 and 2. A two-person household “survives” if both members are present in the second wave. Survival probabilities are estimated from the AHEAD for five year age intervals and for housing equity quartiles. Households that are older and households that have lower levels of housing wealth are less likely to survive. Since the AHEAD only includes households age 70 and over, published survival rates by age (from the NCHS) were used to extrapolate the AHEAD survival probabilities back to age 50. The final step is to reweight the data . For each household observation of age A and housing equity quartile Q, the SIPP frequency weight is multiplied by the inverse of the cumulative survival probability. The survival probabilities are assumed to be one Page 38 for households less than age 50. Thus households that are unlikely to survive are given higher weights. For each observation the probability of surviving to age A given equity quartile Q is A S ( A, Q) = ∏ s(a , a + 1: Q) a = 50 where s(a,a+1;Q) is the one-year survival rate for a household in equity quartile Q. For each household in each year the SIPP frequency weight is multiplied by the inverse of S(A,Q). Page 39 REFERENCES American Association of Retired Persons. May 2000. “Fixing to Stay: A National Survey of Housing and Home Modification Issues.” Congressional Budget Office. 1993. Baby Boomers in Retirement: An Early Perspective. September. Bernheim, B. Douglas. 1992. Is the Baby Boom Generation Preparing Adequately for Retirement. Technical Report. Merrill Lynch. Princeton N.J. Engen, Eric, William Gale and Cori Uccello. 1999. “The Adequacy of Retirement Saving.” Brookings Papers on Economic Activity. Number 2, pp. 65-165. Feinstein, Jonathan and Daniel McFadden. 1989. "The Dynamics of Housing Demand by the Elderly: Wealth, Cash Flow, and Demographic Effects", in D. Wise (ed.) The Economics of Aging, University of Chicago Press. Gustman, Alan and Thomas Steinmeier. 1999. “Effects of Pensions on Savings: Analysis with Data From the Health and Retirement Study.” Carnegie-Rochester Conference Series on Public Policy. Vol. 50. June. P271-324. Hurd, Michael. “Portfolio Holdings by the Elderly.” Mimeograph. December 1999. Juster, F. Thomas and Richard Suzman. 1995. “An Overview of the Health and Retirement Study.” Journal of Human Resources. Vol. 30. PS7-S56. Kiel, Katherine and Jeffrey Zabel. 1999. “The Accuracy of Owner-Provided House Values: The 1978-91 American Housing Survey.” Real Estate Economics. Vol. 27 no. 2 p. 263-298. Mayer, Christopher and Katerina Simons. 1994. “Reverse Mortgages and the Liquidity of Housing Wealth.” Journal of the American Real Estate and Urban Economics Association. Vol. 22 No. 2 pp. 235-255. Megbolugbe, Issac, Jarjisu Sa-Aadu, and James Shilling. 1997. “Oh, Yes, the Elderly Will Reduce Housing Equity under the Right Circumstances.” Journal of Housing Research. Vol. 8 no. 1 pp53-74. Merrill, Sally R. 1984. "Home Equity and the Elderly", in H. Aaron and G. Burtless (ed.), Retirement and Economic Behavior. Brookings Institution. Merrill, Sally R, Meryl Finkel and Nadine Kutty. 1994. "Potential Beneficiaries From Reverse Mortgage Products for Elderly Homeowners: An Analysis of AHS Data.” Journal of the American Real Estate and Urban Economics Association. Vol. 22 No. 2 pp. 257-299. Page 40 Moore, James F. and Olivia S. Mitchell. 1997. “Projected Retirement Wealth and Savings Adequacy in the Health and Retirement Study.” NBER Working Paper No. 6240, October. Sheiner, Louise and David Weil. 1993. “The Housing Wealth of the Aged.” NBER Working Paper No. 4115. Venti, Steven F., and David A. Wise. 1989. "Aging, Moving, and Housing Wealth", in D. Wise (ed.) The Economics of Aging, University of Chicago Press. Venti, Steven F., and David A. Wise. 1990. "But They Don't Want To Reduce Housing Equity", in D. Wise (ed.) Issues in the Economics of Aging, University of Chicago Press. Venti, Steven F. and David A. Wise. 1991. “Aging and the Income Value of Housing Wealth.” Journal of Public Economics. Vol. 44. P. 371-397. Venti, Steven F. and David A. Wise. 2001. “Aging and Housing Equity.” NBER Working Paper No. 7882. Page 41 Table 1. Household status sequences in the HRS and in the AHEAD/HRS Sequences in the HRS Sequences in the AHEAD/HRS Sequence N All % Group % Sequence N All % Group % 2222 3311 43.75 68.39% 222 1203 19.93 55.75% 2220 225 2.97 4.65% 22D 293 4.86 13.58% 222D 156 2.06 3.22% 220 133 2.2 6.16% 222S 42 0.55 0.87% 22N 33 0.55 1.53% 222N 10 0.13 0.21% 22T 27 0.45 1.25% 2200 307 4.06 6.34% 2DD 234 3.88 10.84% 22DD 131 1.73 2.71% 200 112 1.86 5.19% 22SS 47 0.62 0.97% 2DT 47 0.78 2.18% 22D0 10 0.13 0.21% 2ND 26 0.43 1.20% 2000 377 4.98 7.79% 2TT 20 0.33 0.93% 2DDD 116 1.53 2.40% 2D0 19 0.31 0.88% 2SSS 94 1.24 1.94% 2NN 11 0.18 0.51% 2D00 15 0.2 0.31% Subtotal 2158 100.00% Subtotal 4841 100.00% 1111 1832 24.21 68.61% 111 2217 36.74 57.70% 1110 119 1.57 4.46% 11D 405 6.71 10.54% 111D 52 0.69 1.95% 11N 186 3.08 4.84% 111S 12 0.16 0.45% 110 142 2.35 3.70% 111N 10 0.13 0.37% 1DD 462 7.66 12.02% 1100 179 2.37 6.70% 100 266 4.41 6.92% 11DD 69 0.91 2.58% 1ND 98 1.62 2.55% 11SS 10 0.13 0.37% 1NN 66 1.09 1.72% 1000 323 4.27 12.10% Subtotal 3842 100.00% 1DDD 64 0.85 2.40% Subtotal 2670 100.00% Other 35 0.6 All 6035 100.02 Other 57 0.74 All 7568 99.98 Page 42 Table 2. Percent Own, Rent, and Other By Age, from Wave 1 of the HRS and Wave 1 of the AHEAD One-Person Households Two-Person Households age own rent other own rent other 51-53 58.3 34.0 7.7 87.7 10.8 1.5 54-56 54.5 37.0 8.4 90.9 7.7 1.4 57-61 62.5 29.5 8.0 90.5 7.1 2.4 70-74 67.5 22.8 9.8 91.1 7.0 1.9 75-79 64.0 25.6 10.3 87.8 8.6 3.7 80-84 60.3 25.3 14.4 81.1 12.8 6.0 85+ 48.4 31.8 19.9 78.7 15.1 6.2 Page 43 Table 3. Tenure transitions, by initial tenure and by change in household status, for HRS and AHEAD households, in percent. Initial Homeowners in the HRS Change in Subsequent Period Household Tenure Status (%) % Move N Status 22 own 98.3 7.1 9173 rent or other 1.7 65.7 165 2D own 95.6 8.4 316 rent or other 4.4 55.6 13 2N own 88.6 18.9 12 rent or other 11.4 0 1 11 own 95.2 6.1 3150 rent or other 4.8 54.5 169 1N own 100 0 3 rent or other 0 0 Initial Homeowners in the AHEAD Change in Subsequent Period Household Tenure Status (%) % Move N Status 22 own 96.9 3.9 2332 rent or other 3.1 38.5 75 2D own 88.8 9.4 358 rent or other 11.2 76.1 51 2N own 75 6.4 35 rent or other 25 79.9 14 11 own 91.3 4.5 2841 rent or other 8.7 47.2 269 1N own 39.9 0 57 rent or other 60.1 92.6 79 Page 44 Initial Renters-Others in the HRS Change in Subsequent Period Household Tenure Status (%) % Move N Status 22 own 22.3 51.3 220 rent or other 77.7 21.1 822 2D own 12.4 46.8 8 rent or other 87.6 40.2 64 2N own 0 0 rent or other 100 47.5 5 11 own 11.4 46.5 239 rent or other 88.6 22.2 2002 1N own 0 0 rent or other 100 43.6 3 Initial Renters-Others in the AHEAD Change in Subsequent Period Household Tenure Status (%) % Move N Status 22 own 11.9 8.8 31 rent or other 88.1 10.4 253 2D own 14.5 49.5 11 rent or other 85.5 22.1 77 2N own 5 0 1 rent or other 95 34.3 17 11 own 7.4 12.6 128 rent or other 92.6 14.4 1744 1N own 3.4 0 7 rent or other 96.6 89.1 204 Note: Based on authors’ estimates from the HRS and AHEAD. All percentages are based on weighted samples. However, the sample sizes presented in the table are unweighted. Page 45 Table 4. Mean Change in Housing Equity of Initial Owners, by change in family status and by subsequent tenure, for movers and stayers, means and medians. Mean Changes Tenure in Subsequent Period Number of Observations Initial Change Home own rent or in Status rent or all own all Equity other other HRS 22 all 6569 -54155 5855 8918 106 9024 102310 stayer 6686 6686 8295 0 8295 102852 mover 5074 -54155 -3305 623 106 729 96335 2D all 6288 -28079 5547 294 7 301 83212 stayer 8997 8997 266 0 266 83939 mover -21935 -28079 -23169 28 7 35 77158 2N all 4203 4203 12 0 12 83650 stayer 4750 4750 9 0 9 88372 mover 1863 1863 3 0 3 63426 11 all 642 -48476 -697 2961 86 3047 95555 stayer 935 935 2779 0 2779 96012 mover -3739 -48476 -17549 182 86 268 90829 1N all -44095 -44095 2 0 0 77747 stayer -44095 -44095 2 0 2 77747 mover 0 0 0 0 AHEAD 22 all -4555 -73974 -5367 2309 30 2339 115978 stayer -4103 -4103 2213 0 2213 115103 mover -15877 -73974 -29557 96 30 126 132706 2D all -7182 -81900 -13805 354 39 393 105418 stayer -5777 -5777 322 0 322 102228 mover -20432 -81900 -51390 32 39 71 120352 2N all -18869 -105730 -37168 35 12 47 118825 stayer -18498 -18498 33 0 33 123456 mover -24319 -105730 -90020 2 12 14 105715 11 all -4675 -92350 -8446 2801 126 2927 102764 stayer -4011 -4011 2671 0 2671 102209 mover -18500 -92350 -55077 130 126 256 108598 g1N all -13013 -73671 -48315 57 72 129 77533 stayer -13013 -13013 57 0 57 82910 mover -73671 -73671 0 72 72 73671 Page 46 Medians Tenure in Subsequent Period Number of Observations Initial Change Home own rent or in Status rent or all own all Equity other other HRS 22 all 693 -50905 1474 8918 106 9024 81033 stayer 1745 1745 8295 0 8295 81326 mover -360 -50905 -4946 623 106 729 72721 2D all -1632 -32530 1474 294 7 301 71491 stayer 2217 2217 266 0 266 73193 mover -5481 -32530 -10999 28 7 35 42594 2N all 6794 2450 12 0 12 79994 stayer -2311 -2311 9 0 9 79994 mover 15899 15899 3 0 3 87989 11 all 125 -40633 222 2961 86 3047 60493 stayer 639 639 2779 0 2779 62333 mover -389 -40633 -8854 182 86 268 49376 1N all -3971 -3971 2 0 0 33971 stayer -3971 -3971 2 0 2 33971 mover 0 0 0 AHEAD 22 all -5179 -64173 -2348 2309 30 2339 90242 stayer -2087 -2087 2213 0 2213 89114 mover -8271 -64173 -16869 96 30 126 101608 2D all -10008 -73322 -4869 354 39 393 80090 stayer -2303 -2303 322 0 322 76706 mover -17712 -73322 -50761 32 39 71 80217 2N all -26230 -90242 -13978 35 12 47 90242 stayer -9941 -9941 33 0 33 95882 mover -42520 -90242 -54145 2 12 14 90242 11 all -2087 -73322 -2434 2801 126 2927 73799 stayer -1739 -1739 2671 0 2671 73322 mover -2434 -73322 -37434 130 126 256 74869 1N all -6040 -64173 -39921 57 72 129 64173 stayer -6040 -6040 57 0 57 69521 mover -64173 -64173 0 72 72 64173 Page 47 Table 5. Change in the housing equity of initial owners and initial renters, by change in family status. Means Medians Family Change Change in Initial Change in Initial Number Status in Housing Housing Housing Housing Tenure Equity Equity Equity Equity HRS 22 OO 6565 102893 1695 81326 8919 OR -61073 61073 -50905 50905 164 RO 64117 0 35000 0 215 RR 0 0 0 0 822 All 6192 92472 0 72721 10120 2D OO 6223 84329 1734 72721 296 OR -75575 75575 -52281 52281 12 RO 45707 0 6000 0 8 RR 0 0 0 0 64 All 3345 69176 0 56928 380 2N OO 4203 83650 2450 79994 12 OR 0 0 0 0 1 RO 0 RR 0 0 0 0 5 All 2850 56727 0 34854 18 11 OO 642 96874 621 62333 2961 OR -50716 50716 -40663 40663 161 RO 51883 0 36361 0 228 RR 0 0 0 0 2002 All 1126 57784 0 20897 5352 1N OO -44095 77747 -3971 33971 2 OR 0 RO 0 RR 0 0 0 0 3 All -25501 44964 -3971 33971 5 Page 48 AHEAD 22 OO -4555 116475 -2217 90242 2309 OR -80472 80472 -67682 67682 74 RO 79697 0 45000 0 31 RR 0 0 0 0 253 All -5241 103938 -207 80217 2667 2D OO -7182 107705 -2631 80217 354 OR -80749 80749 -73322 73322 50 RO 70915 0 58825 0 11 RR 0 0 0 0 77 All -10956 86415 0 62042 492 2N OO -18869 122320 -9941 95882 35 OR -97003 97003 -84602 84602 14 RO 13369 0 13369 0 1 RR 0 0 0 0 17 All -29941 90771 -9782 62042 67 11 OO -4675 103232 -1739 74869 2801 OR -81412 81412 -67682 67682 266 RO 73623 0 50269 0 128 RR 0 0 0 0 1744 All -5265 64540 0 37434 4939 1N OO -13013 82910 -6040 69521 57 OR -72546 72546 -56401 56401 79 RO 57386 0 65000 0 7 RR 0 0 0 0 204 All -18043 30229 0 0 347 Page 49 Table 6. Comparison of Estimated Home Values and Sale Prices Estimate of Reported Interval and Mean Percent Survey Home Value in Sale Price in Sample Size Difference Difference Initial Year Next Year Means HRS 1992-1994 N=250 135,607 115,665 19,942 14.7 1994-1996 N=233 157,068 123,883 33,186 21.1 1996-1998 N=236 162,264 138,206 24,048 14.8 AHEAD 1993-1995 N=163 101,568 81,625 19,943 19.6 1995-1998 N=179 131,382 109,447 21,935 16.7 Medians HRS 1992-1994 N=250 106,151 96,208 7,117 6.7 1994-1996 N=233 109,838 98,347 8,083 7.4 1996-1998 N=236 140,159 122,276 8,290 5.9 AHEAD 1993-1995 N=163 83,848 69,094 5,888 7 1995-1998 N=179 89,445 77,081 6,546 7.3 Source: Authors’ calculations from the AHEAD and HRS. All figures are in 1998 dollars are use household weights. Page 50 Table 7. Estimates of the mover equity effect using stayers as the “control” group, for initial homeowners, for two- and one-person households, for the HRS and the AHEAD households, by estimation method. OLS Estimates Median Regression Estimates Change in time mover time mover t t t t household effect statistic effect statistic effect statistic effect statistic status (t) (m) (t) (m) HRS 2 to 2 6686 2.26 -1612 0.15 1745 6.98 -2104 2.24 2 to 1 8997 2.62 -30931 2.67 2216 1.66 -7698 1.76 2 to N 4750 0.26 -2887 0.07 -2311 0.2 18210 1.16 1 to 1 935 0.45 -4674 0.57 639 1.8 -1028 0.73 1 to N AHEAD 2 to 2 -4103 2.46 -11774 1.38 -2087 4.05 -6185 2.46 2 to 1 -5777 1.5 -14656 1.18 -2303 1.51 -15409 3.16 2 to N -18498 2.61 -5821 0.21 -9941 3.77 -32579 4.49 1 to 1 -4011 2.57 -14489 1.99 -1739 5.28 -696 0.47 1 to N Note: Too few observations to estimate 1 to N transitions Page 51 Table 8. Comparison of initial reported home equity, selling price minus mortgage, and home equity at the end of the interval. Initial reported Reported equity Selling price at end of Sample size Interval equity prior to minus mortgage home sale interval Mean for Households that Purchased Another House HRS 1992-1994 76518 64940 89317 181 1994-1996 112382 86599 126228 174 1996-1998 108412 89038 120990 166 AHEAD 1993-1995 108821 89284 110690 71 1995-1998 154104 114388 123737 61 Mean for Households that Did Not Purchase Another House HRS 1992-1994 61851 55697 0 55 1994-1996 52308 57226 0 48 1996-1998 72408 86769 0 38 AHEAD 1993-1995 75857 61543 0 44 1995-1998 78005 72313 0 51 Median for Households that Purchased Another House HRS 1992-1994 57679 49806 65903 181 1994-1996 74941 69045 88852 174 1996-1998 82636 72082 110964 166 AHEAD 1993-1995 78258 67826 79590 71 1995-1998 95013 70606 96000 61 Median Households that Did Not Purchase Another House HRS 1992-1994 55137 39649 0 55 1994-1996 32819 42664 0 48 1996-1998 69561 85949 0 38 AHEAD 1993-1995 72668 65244 0 44 1995-1998 79590 73213 0 51 Notes: 1. No imputed variables are used. 2. All values are in 1998 dollars. 3. The data are not weighted. Page 52 Table 9. Estimates of the change in home equity for movers who bought another home, by method of estimations, for HRS and AHEAD intervals, in 1998 dollars. Estimated t Sample size Interval Change in statistic Home Equity OLS Estimates HRS 1992-1994 24377 3.54 181 1994-1996 39629 2.86 174 1996-1998 31952 4.55 166 AHEAD 1993-1995 21406 1.37 71 1995-1998 9349 0.59 61 HRS (pooled waves) 2 to 2 31345 6.39 373 1 to 1 40014 1.73 96 other 20742 1.5 52 AHEAD (pooled waves) 2 to 2 13887 0.91 63 1 to 1 9052 0.45 52 other 43794 2.01 17 Median Regression Estimates HRS 1992-1994 6303 1.86 181 1994-1996 15455 2.35 174 1996-1998 19803 3.42 166 AHEAD 1993-1995 1066 0.24 71 1995-1998 9818 1.12 61 HRS (pooled waves) 2 to 2 17153 4.01 373 1 to 1 -294 0.04 86 other 8856 1.11 52 AHEAD (pooled waves) 2 to 2 3438 0.37 63 1 to 1 0 0 52 other 10111 0.55 17 Page 53 Table 10. Probit estimates of move probabilities, for HRS and AHEAD households. Buy Another Home Discontinue Ownership HRS Households Estimate t-stat Estimate t-stat w11 -0.25623 -3.24 w11 -0.00725 0.06 w22 -0.19400 -2.64 w22 -0.30320 2.71 E 0.00051 0.37 E -0.00625 3.22 Y 0.00822 4.09 Y -0.01961 2.66 EY -0.00004 -1.59 EY 0.00006 0.37 constant -1.35449 -18.92 constant -1.80789 16.81 Selected Quantiles of income and initial reported home equity income equity income equity 20th 17871 30796 20th 17871 30796 50th 42986 68192 50th 42986 68192 80th 81105 131984 80th 81105 131984 Simulated Probabilities at Selected Quantiles 2 to 2 Households equity equity income 20th 50th 80th income 20th 50th 80th 20th 0.063 0.063 20th 0.015 0.013 50th 0.065 50th 0.013 80th 0.069 0.070 80th 0.011 0.009 1 to 1 Households equity equity income 20th 50th 80th income 20th 50th 80th 20th 0.055 0.056 20th 0.031 0.027 50th 0.058 50th 0.026 80th 0.061 0.062 80th 0.023 0.020 Other Households (21, 2N, 1N) equity equity income 20th 50th 80th income 20th 80th 20th 0.090 0.091 20th 0.031 0.027 50th 0.094 0.027 80th 0.099 0.099 80th 0.024 0.021 Page 54 AHEAD Households Buy Another Home Discontinue Ownership w11 -0.11317 1.34 w11 -0.90675 13.57 w22 -0.17486 1.99 w22 -1.36739 15.47 E 0.00909 3.24 E -0.00438 0.74 Y 0.01433 1.87 Y -0.02379 1.09 EY -0.00049 2.27 EY -0.00091 0.61 constant -1.69889 20.83 constant -0.70091 8.89 Selected quantiles of income and initial reported home equity income equity income equity 20th 10909 37434 20th 10909 37434 50th 21433 74869 50th 21433 74869 80th 40609 139042 80th 40609 139042 Simulated Probabilities at Selected Quantiles 2 to 2 Households equity equity income 20th 50th 80th income 20th 50th 80th 20th 0.034 0.041 20th 0.017 0.015 50th 0.037 50th 0.015 80th 0.037 0.043 80th 0.014 0.011 1 to 1 Households equity equity income 20th 50th 80th income 20th 50th 80th 20th 0.039 0.047 20th 0.049 0.044 50th 0.043 50th 0.044 80th 0.042 0.049 80th 0.041 0.035 Other Households (21, 2N, 1N) equity equity income 20th 50th 80th income 20th 50th 80th 20th 0.049 0.059 20th 0.228 0.211 50th 0.054 0.212 80th 0.053 0.062 80th 0.204 0.182 Page 55 Table 11. Estimates of the change in home equity based on income and equity levels, by estimation method, for the HRS and the AHEAD households, with simulated change in equity for selected income and equity quantiles. For households purchasing another home. HRS Households OLS Median regression estimate t-stat estimate t-stat 11 Families 48.4 0.00 -762.6 -0.08 22 Families 2134.4 0.16 9765.2 1.04 Equity -5315.7 -10.91 -4798.4 -8.53 Income 2593.1 4.40 2024.1 2.33 Income* 10.5 1.20 18.4 0.57 Equity Constant 47719.4 3.64 25646.6 2.60 Selected quantiles of income and initial home equity income equity 20th 17871 30796 50th 42986 68192 80th 81105 131984 Simulated equity changes for selected income and equity quantiles 2 to 2 equity equity income 20th 50th 80th 20th 50th 80th 20th 38176 -15422 24353 -23870 50th 25061 11929 80th 54778 1854 37510 -9537 1 to 1 equity equity income 20th 50th 80th 20th 50th 80th 20th 36090 -17508 13825 -34397 50th 22975 1402 80th 52692 -232 26982 -20065 21, 2N, 1N equity equity income 20th 50th 80th 20th 50th 80th 20th 36041 -17557 14588 -33635 22926 2164 80th 52644 -280 27744 -19303 Page 56 AHEAD Households OLS Median regression estimate t-stat estimate t-stat 11 Families -15713.5 -0.49 -20551.8 -0.80 22 Families -8999.6 -0.29 231.9 0.01 Equity -6234.6 -5.21 -7619.1 -4.56 Income 5998.9 1.83 2289.0 0.60 Income* 37.5 0.36 141.5 0.64 Equity Constant 60189.0 1.82 54972.1 1.77 Selected quantiles of income and initial home equity income equity 20th 10909 37434 50th 21433 74869 80th 40609 139042 Simulated equity changes for selected income and equity quantiles 2 to 2 equity equity income 20th 50th 80th 20th 50th 80th 20th 34548 -28386 29758 -46091 50th 17970 5337 80th 52781 -9021 38129 -33449 1 to 1 equity equity income 20th 50th 80th 20th 50th 80th 20th 27834 -35099 8974 -66874 50th 11256 -15447 80th 46067 -15735 17345 -54233 21, 2N, 1N equity equity income 20th 50th 80th 20th 50th 80th 20th 43547 -19386 29526 -46323 50th 26970 5105 80th 61781 -22 37897 -33681 Page 57 Table 12. Estimates of the change in home equity based on income, by estimation method, for the HRS and the AHEAD households, with simulated change in equity for selected income and equity quantiles. For households not purchasing another home. HRS Households OLS Median regression estimate t-stat estimate t-stat 11 Families 13084.3 0.86 10552.8 0.48 22 Families 18754.4 1.37 18635.4 0.85 Equity 0.0 0.00 0.0 0.00 Income -1791.8 2.40 -2063.0 1.46 Income* 0.0 0.00 0.0 0.00 Equity Constant -69374.6 5.16 -52943.1 2.63 Selected quantiles of income and initial home equity income equity 20th 17871 30796 50th 42986 68192 80th 81105 131984 Simulated equity changes for selected income and equity quantiles 2 to 2 equity equity income 20th 50th 80th 20th 50th 80th 20th -53822 -53822 -37994 -37994 50th -58323 -43176 80th -65153 -65153 -51040 -51040 1 to 1 equity equity income 20th 50th 80th 20th 50th 80th 20th -59492 -59492 -46077 -46077 50th -63993 -51258 80th -70823 -70823 -59122 -59122 21, 2N, 1N equity equity income 20th 50th 80th 20th 50th 80th 20th -72577 -72577 -56630 -77077 -61811 -61811 80th -83907 -83907 -69675 -69675 Page 58 AHEAD Households OLS Estimates Median regression estimate t-stat estimate t-stat 11 Families 24825.9 1.81 27010.7 2.30 22 Families 24737.6 1.66 35495.2 2.47 Equity 0.0 0.00 0.0 0.00 Income -6200.7 2.47 -6954.9 1.43 Income* 0.0 0.00 0.0 0.00 Equity Constant -72100.7 4.79 -71111.1 6.05 Selected quantiles of income and initial home equity income equity 20th 10909 37434 50th 21433 74869 80th 40609 139042 Simulated equity changes for selected income and equity quantiles 2 to 2 equity equity income 20th 50th 80th 20th 50th 80th 20th -54127 -54127 -43203 -43203 50th -60653 -50522 80th -72544 -72544 -63859 -63859 1 to 1 equity equity income 20th 50th 80th 20th 50th 80th 20th -54039 -54039 -51688 -51688 50th -60565 -59007 80th -72455 -72455 -72344 -72344 21, 2N, 1N equity equity income 20th 50th 80th 20th 50th 80th 20th -78865 -78865 -78698 -78698 50th -85391 -86017 80th -97281 -97281 -99354 -99354 Page 59 Table 13. Summary of annual change in home equity, decomposed into probability of a move times the change in equity given the move, by family status, for selected equity and income quantiles. Based on probit move probability estimates and OLS equity change Equity-Income Quantile 50-50 80-20 20-80 80-80 20-20 For movers who sell and buy a new home HRS 22 Prob OmO .033 .032 .035 .035 .032 Change|OmO 12531 -7711 27389 927 19088 Expected Change 815 -486 1890 65 1203 11 Prob OmO .029 .028 .031 .031 .028 Change|OmO 11488 -8754 26346 -116 18045 Expected Change 667 -490 1607 -7 993 Other Prob OmO .047 .046 .050 .050 .045 Change|OmO 11463 -8779 26322 -140 18021 Expected Change 1078 -799 2606 -14 1622 All Expected Change 823 -528 1935 42 1221 AHEAD 22 Prob OmO .015 .017 .015 .018 .014 Change|OmO 7426 -11730 21810 -3728 14276 Expected Change 275 -481 807 -160 486 11 Prob OmO .018 .019 .017 .020 .016 Change|OmO 4651 -14504 19036 -6502 11502 Expected Change 200 -682 800 -319 449 Other Prob OmO .022 .024 .022 .026 .020 Change|OmO 11145 -8011 25529 -9 17995 Expected Change 602 -473 1353 0 882 All Expected Change 399 -528 1045 -130 650 Page 60 For movers who sell and discontinue ownership Equity-Income Quantile 50-50 80-20 20-80 80-80 20-20 HRS 22 Prob OmR .007 .007 .006 .005 .008 Change|OmR -29162 -26911 -32577 -32577 -26911 Expected Change -379 -350 -359 -293 -404 11 Prob OmR .013 .014 .012 .010 .016 Change|OmR -31997 -29746 -35412 -35412 -29746 Expected Change -832 -803 -815 -708 -922 Other Prob OmR .014 .014 .012 .011 .016 Change|OmR -38539 -36289 -41954 -41954 -36289 Expected Change -1041 -980 -1007 -881 -1125 All Expected Change -610 -576 -588 -502 -662 AHEAD 22 Prob OmR .006 .006 .006 .005 .007 Change|OmR -25063 -22367 -29977 -29977 -22367 Expected Change -376 -336 -420 -330 -380 11 Prob OmR .018 .018 .017 .014 .020 Change|OmR -25027 -22330 -29940 -29940 -22330 Expected Change -1101 -983 -1228 -1048 -1094 Other Prob OmR .088 .087 .084 .075 .094 Change|OmR -35286 -32589 -40199 -40199 -32589 Expected Change -7481 -6876 -8200 -7316 -7430 All Expected Change -1918 -1743 -2116 -1849 -1907 Page 61 Table 14. Accounting for the change in home equity among initial homeowners in the HRS and the AHEAD Expected Annual Change in Home Equity Survey and Move and Initial home % of initial Discontinue household purchase new home ownership All equity equity structure home HRS 22 815 -379 436 75128 0.58 11 667 -832 -166 81105 -0.20 Other 1078 -1041 37 79858 0.05 All 823 -610 214 76952 0.28 AHEAD 22 275 -376 -101 94257 -0.11 11 200 -1101 -901 78496 -1.15 Other 602 -7481 -6879 87777 -7.84 All 399 -1918 -1519 86445 -1.76 column1: Pr(OmO)* E(DHE|OmO) column 2: Pr(OmR)* E(DHE|OmR) column 3: E(DHE|O) column 4: Initial home equity of sellers Page 62 Figure 1. Percent Owning for Two-Person Households Mortality Adjusted Data from SIPP 100 90 80 70 60 Percent 50 40 30 20 10 0 26 29 32 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 Age Figure 2. Percent Owning for One-Person Households Mortality Adjusted Data from SIPP 100 90 80 70 60 Percent 50 40 30 20 10 0 26 29 32 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 Age Figure 3. Home Equity for Two-Person Households Mortality and CPI Adjusted Data from SIPP 100000 90000 80000 70000 60000 Dollarst 50000 40000 30000 20000 10000 0 26 29 32 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 Age Figure 4. Home Equity for One-Person Households Mortality and CPI Adjusted Data from SIPP 70000 60000 50000 40000 Dollars 30000 20000 10000 0 26 29 32 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 Age Figure 5a. Percent Owning for Two-Person Households Data from HRS and AHEAD 100 90 80 70 60 Percent 50 40 30 20 10 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 Age Figure 5b. Percent Owning for Two-Person Households Data from AHEAD Only 100 90 80 70 60 Percent 50 40 30 20 10 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 Age Figure 6a. Percent Owning for One-Person Households Data from HRS and AHEAD 100 90 80 70 60 Percent 50 40 30 20 10 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 95 Age Figure 6b. Percent Owning for One-Person Households Data from AHEAD Only 100 90 80 70 60 Percent 50 40 30 20 10 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 95 Age Figure 7a. Mean Home Equity for Two-Person Households Data from HRS and AHEAD 140000 130000 120000 110000 100000 90000 80000 Dollars 70000 60000 50000 40000 30000 20000 10000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 93 Age Figure 7b. Mean Home Equity for Two-Person Households Data from AHEAD Only 140000 130000 120000 110000 100000 90000 80000 Dollars 70000 60000 50000 40000 30000 20000 10000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 93 Age Figure 8a. Mean Home Equity for One-Person Households Data from HRS and AHEAD 110000 100000 90000 80000 70000 Dollars 60000 50000 40000 30000 20000 10000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 95 Age Figure 8b. Mean Home Equity for One-Person Households Data from AHEAD Only 110000 100000 90000 80000 70000 60000 Dollars 50000 40000 30000 20000 10000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 95 Age Figure 9a. Median Home Equity for Two-Person Households Data from HRS and AHEAD 140000 130000 120000 110000 100000 90000 80000 Dollars 70000 60000 50000 40000 30000 20000 10000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 93 Age Figure 9b. Median Home Equity for Two-Person Households Data from AHEAD Only 140000 130000 120000 110000 100000 90000 80000 Dollars 70000 60000 50000 40000 30000 20000 10000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 93 Age Figure 10a. Median Home Equity for One-Person Households Data from HRS and AHEAD 110000 100000 90000 80000 70000 Dollars 60000 50000 40000 30000 20000 10000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 95 Age Figure 10b. Median Home Equity for One-Person Households Data from AHEAD Only 110000 100000 90000 80000 70000 60000 Dollars 50000 40000 30000 20000 10000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 95 Age Figure 11a. Mean Non-Housing Equity for Two-Person Households Data from HRS and AHEAD 500000 450000 400000 350000 300000 Dollars 250000 200000 150000 100000 50000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 93 Age Figure 11b. Mean Non-Housing Equity for Two-Person Households Data from AHEAD Only 500000 450000 400000 350000 300000 Dollars 250000 200000 150000 100000 50000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 Age Figure 12a. Mean Non-Housing Equity for One-Person Households Data from HRS and AHEAD 240000 200000 160000 Dollars 120000 80000 40000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 95 Age Figure 12b. Mean Non-Housing Equity for One-Person Households Data from AHEAD Only 240000 200000 160000 Dollars 120000 80000 40000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 95 Age Figure 13a. Median Non-Housing Equity for Two-Person Households Data from HRS and AHEAD 200000 180000 160000 140000 120000 Dollars 100000 80000 60000 40000 20000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 93 Age Figure 13b. Median Non-Housing Equity for Two-Person Households Data from AHEAD Only 200000 180000 160000 140000 120000 Dollars 100000 80000 60000 40000 20000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 93 Age Figure 14a. Median Non-Housing Equity for One-Person Households Data from HRS and AHEAD 50000 40000 30000 Dollars 20000 10000 0 50 52 54 56 58 60 62 64 66 68 70 72 74 76 78 80 82 84 86 88 90 92 95 Age Figure 14b. Median Non-Housing Equity for One-Person Households Data from AHEAD Only 50000 40000 30000 Dollars 20000 10000 0 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 95 Age