“Last” Chances
While many Americans seem to lack a definitive sense of what living in
retirement will be like, how long it will last, or how much it will cost, their
sense of when it will begin has been trending older. The 2012 Retirement
Confidence Survey (RCS) noted that, whereas in 1991, just 11 percent of workers
expected to retire after age 65, in 2012, more than three times as many (37
percent) report they expect to wait until after age 65 to retire—and most of
those indicated an expected retirement age of 70 or older.1
Those expecting to delay retirement perhaps found solace in a recent report by the Center for Retirement Research (CRR) at Boston College which concluded that by postponing retirement until age 70, the vast majority of households (86 percent) were “…projected to be prepared for retirement.”
That sounds good – but what about the assumptions underlying that conclusion?
In 2003, the Employee Benefit Research Institute (EBRI) constructed the EBRI-ERF Retirement Security Projection Model® (RSPM)—the first nationally representative, micro-simulation model based on actual 401(k) participant behavior and a stochastic decumulation model. And though we have explicitly recognized that many individuals were retiring at earlier ages, a retirement age of 65 was chosen for baseline results, based upon the assumption that most workers would have the flexibility to work until that age, if they so chose.
Last year we modified the RSPM to determine whether just “working a few more years after age 65” would indeed be a feasible financial solution for those determined to be “at risk.” Unfortunately, for those counting on that as a retirement savings “solution”, the answer is not always “yes.”
Indeed, results from the EBRI modeling indicated that the lowest pre-retirement income quartile would need to defer retirement to age 84 before 90 percent of the households would have even a break-even (50‒50) chance of success.
Working longer does help, of course. A recent EBRI Notes article titled “Is Working to Age 70 Really the Answer for Retirement Income Adequacy?2” finds that 23 percent of those who would have been at risk of running out money in retirement if they retired at age 65 would be “ready to retire” if they kept working to 70. Better still, if those individuals are assumed not only to delay retirement, but also to keep participating in a defined contribution plan, a full third of those who would have been at risk of running short of money if they retired at age 65 would be “ready” to retire at age 70.3
What accounts for the difference in the projections? For a household to be classified as “ready for retirement” under the CRR method, a projected replacement rate is simply compared with a benchmark rate, while the RSPM uses a fully developed stochastic decumulation process to determine whether a family will run short of money in retirement (and, if so, at what age) under each of a thousand alternative, simulated retirement paths. Unlike the CRR model, EBRI’s RSPM model simultaneously considers the impact of longevity risk, investment risk, and the risk of potentially catastrophic health care costs (such as prolonged stays in a nursing home).5
Which, as it so happens, are the same things that those trying to make sure they have enough money to last through retirement—and those trying to help them do so—need to consider.
Nevin E. Adams, JD
1 see “Is Working to Age 70 Really the Answer for Retirement Income Adequacy?”
2 Also from the above article, “It’s worth nothing that a significant portion of the improvement in readiness takes place in the first four years after age 65, but that tends to level off in the early 70s before picking up in the late 70s and early 80s. Higher-income households would be in a much better situation: 90 percent of the highest-income quartile would already have a 50 percent probability of success by age 65, while those in the next-highest income quartile would need to wait until age 72 for 90 percent of their group to have a 50 percent probability. Those in the second-lowest income quartile would need to wait until age 81 before 90 percent of their group had a 50 percent probability of success.
3 At the same time, the percentage of workers expecting to retire before age 65 has decreased from 50 percent in 1991 to 24 percent (see this EBRI analysis, online here). A sizable proportion of retirees report each year that they retired sooner than they had planned (50 percent in 2012). Those who retire early often do so for negative reasons, such as a health problem or disability (51 percent) or company downsizing or closure (21 percent). The 2011 RCS found that the poor economy (36 percent), lack of faith in Social Security or the government (16 percent) and a change in employment situation (15 percent) were the most frequently cited reasons for postponing retirement.
4. For more on how this modeling works, see “Single Best Answer.”
5 For an explanation of four things that are sometimes overlooked by retirement-needs projection models, see “Generation ‘Gaps,’” online here.
Those expecting to delay retirement perhaps found solace in a recent report by the Center for Retirement Research (CRR) at Boston College which concluded that by postponing retirement until age 70, the vast majority of households (86 percent) were “…projected to be prepared for retirement.”
That sounds good – but what about the assumptions underlying that conclusion?
In 2003, the Employee Benefit Research Institute (EBRI) constructed the EBRI-ERF Retirement Security Projection Model® (RSPM)—the first nationally representative, micro-simulation model based on actual 401(k) participant behavior and a stochastic decumulation model. And though we have explicitly recognized that many individuals were retiring at earlier ages, a retirement age of 65 was chosen for baseline results, based upon the assumption that most workers would have the flexibility to work until that age, if they so chose.
Last year we modified the RSPM to determine whether just “working a few more years after age 65” would indeed be a feasible financial solution for those determined to be “at risk.” Unfortunately, for those counting on that as a retirement savings “solution”, the answer is not always “yes.”
Indeed, results from the EBRI modeling indicated that the lowest pre-retirement income quartile would need to defer retirement to age 84 before 90 percent of the households would have even a break-even (50‒50) chance of success.
Working longer does help, of course. A recent EBRI Notes article titled “Is Working to Age 70 Really the Answer for Retirement Income Adequacy?2” finds that 23 percent of those who would have been at risk of running out money in retirement if they retired at age 65 would be “ready to retire” if they kept working to 70. Better still, if those individuals are assumed not only to delay retirement, but also to keep participating in a defined contribution plan, a full third of those who would have been at risk of running short of money if they retired at age 65 would be “ready” to retire at age 70.3
What accounts for the difference in the projections? For a household to be classified as “ready for retirement” under the CRR method, a projected replacement rate is simply compared with a benchmark rate, while the RSPM uses a fully developed stochastic decumulation process to determine whether a family will run short of money in retirement (and, if so, at what age) under each of a thousand alternative, simulated retirement paths. Unlike the CRR model, EBRI’s RSPM model simultaneously considers the impact of longevity risk, investment risk, and the risk of potentially catastrophic health care costs (such as prolonged stays in a nursing home).5
Which, as it so happens, are the same things that those trying to make sure they have enough money to last through retirement—and those trying to help them do so—need to consider.
Nevin E. Adams, JD
1 see “Is Working to Age 70 Really the Answer for Retirement Income Adequacy?”
2 Also from the above article, “It’s worth nothing that a significant portion of the improvement in readiness takes place in the first four years after age 65, but that tends to level off in the early 70s before picking up in the late 70s and early 80s. Higher-income households would be in a much better situation: 90 percent of the highest-income quartile would already have a 50 percent probability of success by age 65, while those in the next-highest income quartile would need to wait until age 72 for 90 percent of their group to have a 50 percent probability. Those in the second-lowest income quartile would need to wait until age 81 before 90 percent of their group had a 50 percent probability of success.
3 At the same time, the percentage of workers expecting to retire before age 65 has decreased from 50 percent in 1991 to 24 percent (see this EBRI analysis, online here). A sizable proportion of retirees report each year that they retired sooner than they had planned (50 percent in 2012). Those who retire early often do so for negative reasons, such as a health problem or disability (51 percent) or company downsizing or closure (21 percent). The 2011 RCS found that the poor economy (36 percent), lack of faith in Social Security or the government (16 percent) and a change in employment situation (15 percent) were the most frequently cited reasons for postponing retirement.
4. For more on how this modeling works, see “Single Best Answer.”
5 For an explanation of four things that are sometimes overlooked by retirement-needs projection models, see “Generation ‘Gaps,’” online here.
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