GAO Report on Retirement Savings: Overall Gaps Identified, but the Focus of Retirement Security Reform Should be on the Uncovered Population

VanDerhei

By Jack VanDerhei, EBRI

The Government Accountability Office’s new retirement analysis reviewed nine studies conducted between 2006 and 2015 by a variety of organizations and concluded that generally one-third to two-thirds of workers are at risk of falling short of their retirement savings targets.

However, many of these studies use a “replacement rate” standard: Most commonly, this analysis concludes that you need to replace 70–80 percent of your preretirement income to be assured of a successful retirement. This is a convenient metric to use to convey retirement targets to individuals—and no doubt provides useful information to many workers who are attempting to determine whether they are “on-track” with respect to their retirement savings and/or what their future savings rates should be. However, replacement rates are NOT appropriate in large-scale policy models for determining whether an individual will run short of money in retirement. Why?

Because simply setting a target replacement rate at retirement age and suggesting that anyone above that threshold will have a “successful” retirement completely ignores:

1. Longevity risk.
2. Post-retirement investment risk.
3. Long-term care risk.

In fact, looking at just the first two risks above, if you use a replacement rate threshold based on average longevity and average rate of return, you will, in essence, have a savings target that will prove to be insufficient about 50 percent of the time. Of course, this would not be a problem if retirees annuitized all or a large percentage of their defined contribution and IRA balances at retirement age; but the data suggest that only a small percentage of retirees do this.

In contrast, EBRI has been working for the last 14 years to develop a far more inclusive, sophisticated, realistic—and, yes, complex—model that deals with all these risks. It’s our Retirement Security Projection Model® (RSPM), and produces a Retirement Readiness Rating (basically, the probability that a household will NOT run short of money in retirement).

Our most recent Retirement Readiness Ratings by age are shown in Figure 1 (left). Our baseline results do include long term care costs (the red bars), but we also run the numbers assuming that these costs are NEVER paid by the retirees (the green bars). This latter assumption is not likely to be realistic for many retirees, but we include it to show how important it is to include these costs (unlike many other models).

Even more important is Fig. 2 (right), which shows Retirement Readiness Ratings as a function of preretirement income AND the number of future years of eligibility for a defined contribution plan for Gen Xers.

Even controlling for the impact of income on the probability of a successful retirement, the number of future years that a Gen Xer works for an employer that sponsors a defined contribution plan will make a tremendous difference in their Retirement Readiness Ratings (even with long-term care costs included).

The evidence from EBRI’s simulation modeling certainly agrees with the GAO that a significant percentage of households will likely run short of money in retirement if coverage is not increased. However this is because we model all the major risks in retirement and do not simply assume some ad-hoc replacement rate threshold.

Moreover, using an aggregate number to portray the percentage of workers at risk for inadequate retirement income is really missing the bigger picture. The retirement security landscape for today’s workers can be bifurcated into those fortunate enough to work for employers that sponsor retirement plans for a majority of their careers vs. those who do not. In general, those who have an employer-sponsored retirement plan for most of their working careers appear to be well on their way to a secure retirement.

Perhaps the focus of any retirement security reform going forward needs to be on those who do not work for employers offering retirement plans and those in the lowest-income quartile.

—————————————————————————

Jack VanDerhei is research director at the Employee Benefit Research Institute.

A Futurist Past

Salisbury

By Dallas Salisbury, EBRI

At EBRI’s 35^th anniversary policy forum last December, it occurred to me that one of the youngest minds in the room happened to belong to the oldest panelist we had invited. Arnold Brown, 87 when he spoke at our forum, was nationally renowned not only for his insightful observations about the future, but his often surprising predictions of how the American labor force—and the employment-based benefits on which they depend—might change in response. How fitting that the forum panel on which he participated was titled “The Road to Tomorrow.”¹

So I was especially saddened to hear of his recent passing, shortly before his 88^th birthday. He died surrounded by family, who described him as “brilliant, witty, wise and generous.” Having followed him and his work closely in my own career, I would agree with all that and more.

At a time when news reports warn of the “technological divide” between the young and the old in this country, Brown’s specialty was using hard data to help us understand why and how technology is changing our lives. Ironically for a tech-head, he started out as an English major (he graduated with honors from UCLA), before going on to serve in the Navy.

Arnold Brown

His big break on the national stage came when he was vice-chairman of the American Council of Life Insurers, where in 1969 he created ACLI’s Trend Analysis Program. This was the first, and considered among the best, “environmental scanning programs” that focused on long-range business planning and strategy. In 1977, he formed his own company, Weiner, Edrich, Brown, Inc., consultants in strategic planning and the management of change, where many of the biggest companies in the world would become clients. Not surprisingly, he served as board chairman of the World Future Society.

Much of his recent work focused on the trend toward “deskilled workers,” as more and more employers turn to computers, software, and robots to replace both blue-collar and white-collar human employees. He pointed out the many ripple effects that is already having and will have going forward, especially on state and federal social insurance programs that depend on taxes drawn from employment payrolls to survive. As workers are increasingly replaced by robots, Brown asked at the EBRI forum, “Should we require employers of robots to pay Social Security for them?”

Among his other thought-provoking, data-driven points at the EBRI forum:

• The prolonged recession has masked what he called a “profound transformation of the economy” driven by automation, one that has to do with the very nature of work and jobs as the nation moves into the future. In 2012, he noted, approximately 85 percent of robots were purchased were for manufacturing purposes, and within the next few years 30 percent or more of robots will be for non-manufacturing, white-collar use.
• Part-time, contract, and temporary workers are becoming the norm worldwide. Brown noted that in France in 2012, 82　percent of the new jobs created were temporary, and in Germany, what are referred to as “mini jobs” (low-paid, short-term jobs) now comprise 20 percent of all jobs in that economy. Another aspect of this job trend: Of the 16-to-25-year-old cohort not currently in school, barely a third (36 percent) have full-time jobs, and a major reason for this is new technology (such as 3-D printing), he said.
• The upshot is that “The old model of the contract between employer and employee is increasingly obsolete,” Brown said at the EBRI forum, and “more and more, we will need a new model of what the relationship will be between the employer and the employee.” Over the next 35 years, he predicted, there will evolve “an entirely different, unprecedented relationship in the workplace between employers and employees, and what the consequences of that will be are really very profound in terms of what your businesses will be facing.”

Professionally, I greatly admired his acute use of data to make highly informed analysis about the future. Personally, I deeply admired how someone almost in his 90s lived so much in the future.

In Washington, there is naturally great attention given to how federal law (particularly tax law) and regulation affect business and employee benefits. But Arnold Brown’s focus was elsewhere: How the economy—and the underlying technology and skills that drive it—affect not only the business world, but society as a whole, faster and far more powerfully than even government policy.

His keen mind and often accurate predictions will be missed.

Notes

¹ The complete report on the EBRI 35th anniversary policy forum, “Employee Benefits: Today, Tomorrow, and Yesterday,” is published in the July EBRI Issue Brief and is online here.

“Repeat” Performance

By Nevin Adams, EBRI

A few months back, I was intrigued to catch several episodes of “Cosmos,” an updated version of the classic 1980 Carl Sagan series.  Along with the significantly expanded and enhanced visuals and (to me, anyway, generally annoying) animations, the series recounted the work, travails and accomplishments of Edmond Halley, who, even today, is probably best remembered for the comet whose 75-year cycle he identified and which still, as Halley’s Comet, bears his name.

Halley wasn’t the first to see the comet, of course – in fact, it had been recorded by Chinese astronomers as far back as 240 BC, noted subsequently in Babylonian records, and perhaps most famously shortly before the 1066 invasion of England by William the Conqueror (who claimed the comet’s appearance foretold his success).  Halley noted appearances by the comet in 1531, 1607 and 1682, and based on those prior observations – and the application of the work and mathematical formulas of his friend Isaac Newton – predicted the return of the comet in 1758, which it did, albeit 16 years after his death in 1742.

Of course, the importance of repeated, measured observations isn’t restricted to celestial phenomena.  Consider that individual retirement accounts (IRAs) currently represent about a quarter of the nation’s retirement assets; and yet, despite an ongoing focus on the accumulations in defined benefit (pension) and 401(k) plans that have, via rollovers, fueled a significant amount of this growth, a detailed understanding as to how these funds are actually used during retirement has, to date, not been as well understood.

To address this knowledge shortfall, the Employee Benefit Research Institute has developed the EBRI IRA Database, which includes a wealth of data on IRAs including withdrawals or distributions, both by calendar year and longitudinally, which provides a unique ability to analyze a large cross-sectional segment of this vital retirement savings component, both at a point in time and as the individual ages and either changes jobs or retires.  Indeed, as a recent EBRI publication notes, the rate of withdrawals from these IRAs is important in determining the likelihood of having sufficient funds for the duration of an individual’s life, certainly where these balances are a primary source of post-retirement income.

Previous EBRI reports[i] have explored this activity for particular points in time, but a recent EBRI analysis[ii] looked for trends in the withdrawal patterns of a longitudinal three-year sample of individual post-retirement withdrawal activity, specifically those age 70 or older (in 2010), the point at which individuals are required by law to begin withdrawing money from their IRAS.

The EBRI analysis concluded that, when looking at the withdrawal rates for those ages 70 or older, the median of the average withdrawal rates over a three-year period indicated that most individuals are withdrawing at a rate that not only approximates what they are required by law to withdraw, but at a rate that is likely to be able to sustain some level of post-retirement income from IRAs as the individual continues to age.

Furthermore, the report notes that an examination of these trends over this period suggests that, based on the resulting distribution of average withdrawal rates over time as a function of the initial-year withdrawal rate, the initial withdrawal rate for those in this age group appeared to be one that these individuals are likely to continue to make the next year.

Of course, while the median withdrawal rates suggest many individuals would be able to maintain the IRA as an ongoing source of income throughout retirement, further study is needed to see if these individuals are maintaining those withdrawal rates over longer periods of time.  Moreover, the integration of IRA data with data from employment-based defined contribution retirement accounts currently underway as part of initiatives associated with EBRI’s Center for Research on Retirement Income (CRI) will allow for an even more comprehensive picture of what those who may have multiple types of retirement accounts do as they age through retirement.

And we won’t have to wait 75 years to see how it turns out.

• Notes

[i] See “IRA Withdrawals, 2011” online here.   See also ““Take it or Leave it? The Disposition of DC Accounts: Who Rolls Over into an IRA? Who Leaves Money in the Plan and Who Withdraws Cash?” online here. 

[ii] See “IRA Withdrawals in 2012 and Longitudinal Results, 2010–2012” online here. 

Look-Back “Provisions”

By Nevin Adams, EBRI

My wife and I recently celebrated our wedding anniversary.  It was a special day, as they all are, but as I thought back on the events of our life together, I was struck by the realization that I have now been married for about half my life.  Not that I didn’t expect to remain married, or to live this long; if someone had asked on my wedding day if I thought I’d still be alive and married this many years hence, I’m sure that I would have expressed confidence, likely strong confidence, in both outcomes.  However, if someone on that same day had asked me to guess then where I would be living now, what I would be doing, or what my income would be (or need to be)—well, my responses would likely have been much less certain.

In just a few weeks we’ll be making preparations to launch the 2015 Retirement Confidence Survey (RCS)[i].  It is, by far, the longest-running survey of its kind in the nation.  Indeed, this will be its 25^th year.  Think for a moment about where you were a quarter century ago, what (or if) you thought about retirement, what preparations you had made… then consider for a moment what you have done in the years since.  Are you where you thought you would be?  Are you more – or less – confident about your prospects for a financially secure retirement?  Have you planned toward a specific retirement date or age?  Has that changed over the years – how, and why?

Through the prism of that near-quarter-century window, the RCS provides a unique perspective to view in the here and now, and to look back over time on how American workers – and retirees – have viewed their preparations, readiness, and confidence about retirement.  It has also provided those who are working to help improve and/or ensure those prospects insights into those collective preparations, or lack thereof. Moreover, the RCS has offered the ability to gauge potential responses to specific regulatory, administrative and legislative alternatives, both real and envisioned – a critical real-world filter to balance the theoretical world in which academics often imagine we live and respond, or as they often assume, won’t respond[ii].

Retirement confidence is, of course, a state of mind at a point in time, unique to individual situations, and as past waves of the RCS have shown, it’s not always based on a realistic assessment of where you are or what lies ahead.  That said, the RCS offers more than a sentiment snapshot, and those who look not only to feel better about retirement but to have a basis for that feeling need look back no further than the pages of that report.

The RCS has outlined the impact that real-world actions can have on confidence: having saved for retirement, having sought professional investment advice, having made a determination as to how much is needed for retirement, and – as last year’s RCS findings emphasized — having some kind of retirement savings account.  Little wonder that those who have undertaken those steps are more confident of the outcomes.

It’s one thing to anticipate that eventual cessation of paid employment, and something else altogether to make the preparations – to choose to save – and to be confident that you’ll be able to look back with satisfaction one day knowing that you have the financial resources to enjoy it.

• Notes

Your organization can be part of the 25^th Retirement Confidence Survey.  Survey underwriters serve as a member of the survey’s Advisory Board, along with the opportunity to participate in the review and update of the 2014 questionnaire; have the opportunity to participate in a pre-release, underwriters’ briefing on the results of the survey; are able to utilize the survey materials and findings for your research, marketing, communications, and product-development purposes – and you’ll be acknowledged as an underwriter of this, the 25^th Retirement Confidence Survey, among other benefits.  For more information, contact us at nadams@ebri.org.

 

[i] More information about the Retirement Confidence Survey is available online here.

[ii] See “The Status Quo.”

The Status Quo

By Nevin Adams, EBRI

While the prospects for “comprehensive tax reform” may seem remote in this highly charged election year, the current tax preferences accorded employee benefits continue to be a focus of much discussion among policymakers and academics.

The most recent entry was a report by the Urban Institute which simulated the short- and long-term effect of three policy options for “flattening tax incentives and increasing retirement savings for low- and middle-income workers.”  The report concluded that “reducing 401(k) contribution limits increases taxes for high-income taxpayers; expanding the saver’s credit raises saving incentives and lowers taxes for low- and middle-income taxpayers; and replacing the exclusion for retirement saving contributions with a 25 percent refundable credit benefits primarily low- and middle-income taxpayers, and raises taxes and reduces retirement assets for high-income taxpayers.”

However, and to the authors’ credit, the report also noted that “the behavioral responses by both employers and employees will affect the final savings outcomes achieved under reform but are beyond the scope of our estimates[i].”

In previous posts, we’ve highlighted the dangers attendant with relying on simplistic retirement modeling assumptions, the application of dated plan design information to future accumulations, and the choice of adequacy thresholds that, while mathematically accurate, seem unlikely to provide a retirement lifestyle that would, in reality, feel “adequate.”

However, one of the more pervasive assumptions, particularly when it comes to modeling the impact of policy and/or tax reform changes, is that, regardless of the size and scope of the changes proposed, workers – and employers – will generally continue to do what they are currently doing, and at the current rate(s), for both contributions and/or plan offerings.  Consequently, there is talk of restricting participant access to their retirement savings until retirement, with little if any discussion as to how that might affect future contribution levels, by both workers and employers, and there are debate about modifying retirement plan tax preferences as though those changes would have no impact at all on the calculus of those making decisions to offer and support these programs with matching contributions.  Ultimately, these behavioral responses might not only impact the projected budget “savings” associated with the proposals, but the retirement savings accumulations themselves.

EBRI research has previously been able to leverage its extensive databases and survey data (including the long-running Retirement Confidence Survey) to both capture  potential responses to these types of proposals and, more significantly, to quantify their potential impact on retirement security today and over the extended time periods over which their influence extends.  In recent months, that research has provided insights on the full breadth of:

• A retirement savings cap[ii],
• The proportionality of savings account balances with incomes[iii], and
• The impact of permanently modifying the exclusion of employer and employee contributions for retirement savings from taxable income, among other proposals[iv].

While we can’t be certain what the future brings, considering the likely responses to policy changes is a critical element in any comprehensive impact assessment – not only because the status quo is rarely a dependable outcome, but because, after all, those who assume the status quo are generally looking to change it.

• Notes

[i] From Urban Institute and Brookings Institution:  Flattening Tax Incentives for Retirement Saving:  “Our findings should be interpreted with caution. Actual legislation for flattening tax incentives requires more than the simple adjustments discussed here. For instance, if a credit-based approach is used, then the laws would need to ensure some recapture of those benefits for those who made contributions one year and withdrew them soon thereafter.

Additionally, the behavioral responses by both employers and employees will affect the final savings outcomes achieved under reform but are beyond the scope of our estimates. For instance, employees may save more in response to improved incentives, in which case the benefits to low lifetime income households would be greater than we find. On the other hand, employers might reduce their contributions in response to some of the policy changes outlined. In this case, the tax and savings benefits we find would be overstated.  While our policy simulations are illustrative, addressing these behavioral responses would be a chief concern in tailoring specific policies to create the best incentives.”

[ii] See “The Impact of a Retirement Savings Account Cap”

[iii] See “Upside” Potential

[iv] See “Tax Reform Options: Promoting Retirement Security”, and “Modifying the Federal Tax Treatment of 401(k) Plan Contributions: Projected Impact on Participant Account Balances”

Map “Quests”

By Nevin Adams, EBRI

I’ve been hooked on the convenience of GPS systems ever since the first time one was included in the price of a rental car on a family trip in unfamiliar territory. After all, it combines the opportunity to tinker with electronic gadgetry alongside the convenience of not having to do much in the way of pre-planning trip routes—not to mention avoiding the need to stop and ask for directions (that is frequently associated with not doing much in the way of pre-planning trip routes).

There are, of course, horror stories about drivers who have blindly followed GPS instructions without paying attention to the evidence of their eyes. My family still chuckles at the memory of a trip where we were running late to our plane, and the rental car GPS, based on what appeared to be an outdated address for the return office, kept directing us to an address that was not only miles from the real office, but a place from which I wondered if we might never return.

As a growing number of Americans near, and head into, retirement, policymakers, retirement plan sponsors, and individual workers alike increasingly wonder—will Americans have enough to live on when they retire? Unfortunately, as a recent EBRI publication[1] explains, the answers provided are as diverse, and sometimes disparate, as the projection models that produce those results.

While it is not always clear from their results, some of those models limit their analysis to households already retired, while others focus on households still working, but old enough that reasonably accurate projections regarding their future wages and prospects for accumulating retirement wealth are obtainable. Still others attempt to analyze the prospects for all working households, including those whose relative youth (and distance from retirement) makes accurate, long-term predictions somewhat problematic.

Moreover, there are varied definitions of retirement income adequacy. As the EBRI report explains, some either (1) model only the accumulation side of the equation and then rely on some type of preretirement income replacement rate measure as a threshold for success, or (2) make use of a so-called “life-cycle” model that attempts to smooth/spread some type of consumption-based utility over the decision-maker’s lifetime.

The problem with the former is that, since very few households annuitize all (or even most) of their individual accounts in retirement, a replacement-rate focus overlooks the potential risk of outliving their income (longevity risk). And while the annuity purchase price relied upon in a replacement-rate target does depend on an implicit assumption with respect to (at least some) future market returns, it does not typically account for the potential investment risk. Additionally, and as previous EBRI research has demonstrated, one of the biggest financial obstacles in terms of maintaining retirement income adequacy for households that might otherwise have sufficient financial resources at retirement age is the risk of long-term care costs for a prolonged period. In the real world, few retirees have long-term care insurance policies in place that would cover the potentially catastrophic financial impact of this exposure—and thus, simply adding the cost of long-term care insurance into a replacement-rate methodology will vastly underestimate the potential severity of this exposure.

As for the life-cycle smoothing model, the EBRI report notes that approach typically produces extraordinarily low levels of “optimal” savings for low-income individuals at retirement, and while some households may, in fact, have no choice but to subsist at those levels in retirement, from a public policy perspective EBRI chose instead to establish a threshold that would allow households to afford average expenditures (for retirees in the appropriate income category) throughout their retirement, while at the same time accounting for the potential impact of uninsured long-term care costs.

EBRI’s Retirement Security Projection Model^®[2] takes a different—arguably unique and more realistic—perspective. Rather than relying on an individual’s projected ability to achieve an arbitrarily designated percentage of his or her preretirement income as a proxy for retirement income adequacy, RSPM grew out of a multiyear project to analyze the future economic well-being of the retired population at the state level, focused on identifying the point at which individuals would run short of money and perhaps become a financial obligation of the state.

As valuable a resource as a GPS can be, it can quickly become a nuisance—or worse—if the input destination point is incorrect, or the mapping system is out of date. Similarly, those who want a financially secure retirement may find that relying on a model based on flawed assumptions or outdated “destinations” may find themselves short of their goal and with little time to do anything about it.

Notes

[1] See ““’Short’ Falls: Who’s Most Likely to Come up Short in Retirement, and When?” online here.

[2] A brief description of EBRI’s Retirement Security Projection Model® can be found online here.

“Picture” Window

By Nevin Adams, EBRI

As an individual who spends a lot of his time writing (and reading the writing of others), I’ve always had reservations about the notion that “a picture is worth a thousand words,” though I’ll grant you that an image, a well-crafted graph, or even a flow chart can, in certain instances, more quickly and more effectively convey an idea or concept than words alone.

I remember a conversation with a friend of mine a couple of years ago about EBRI’s Lillywhite Award. My friend, who had been something of a mentor to me over the years, was asking me about the award, the selection process, and what type of individual/accomplishments we were seeking to acknowledge. I tried as best I could to go over the history and purpose of the award: that it was established in 1992 to celebrate contributions by persons who have had distinguished careers in the investment management and employee benefits fields and whose outstanding service enhances Americans’ economic security. That it was intended to recognize lifetime or long-term contributions to the fields of pension/retirement administration, investment management, legislation, marketing, research-education, consulting on investments or benefits, or publications/reporting.

And then I mentioned Ray Lillywhite, for whom the award is named, and—in an instant—my friend “got it.”

Ray was a true pioneer in the pension field. For decades he guided state employee pension plans, and helped found numerous professional organizations and educational programs, finally retiring from Alliance Capital at the age of 80 after a 55-year career in the pension and investment field. Throughout his career, Ray exemplified not only excellence, but also innovation in lifelong achievements, teaching, and learning.

While I never had the pleasure of meeting Ray in person, it has been my great fortune to meet and benefit from the work, education and guidance of a number of Lillywhite Award recipients over the course of my career: Principal Financial Group’s CEO Larry Zimpleman, who was last year’s recipient; Stanford University’s Bill Sharpe; Pension & Investments’ Mike Clowes; Russell Investment’s Don Ezra; and, of course, EBRI’s own Dallas Salisbury, to name a few.

These individuals, as well as the rest of the long and distinguished list of EBRI Lillywhite Award recipients[1] do indeed help paint a picture of what the award was designed to acknowledge—individuals who have each, in their own unique way, influenced the direction of employee benefits, and over the course of their careers helped make things better for others, whose “outstanding service enhances Americans’ economic security.”

Indeed, a picture” may, or may not, always be worth a thousand words. But sometimes a “picture” can be worth more than mere words can say.

 NOTES

EBRI’s Lillywhite Award acknowledges the best of the best in the investment management and employee benefits fields. I’m betting you know, admire, and would like to acknowledge the contributions they’ve made. If so, I’d encourage you to nominate them for this prestigious award—today, online here.  

More information about the EBRI Lillywhite Award is online here.

[1] The list of previous EBRI Lillywhite Award recipients is online here. 

“Out” Takes

By Nevin Adams, EBRI

My first car wasn’t anything special, other than it was my first car. It was an older model Ford, ran reasonably well, with one small problem— it went through oil almost as quickly as it did gasoline. At first I attributed that to being a function of the car’s age, but as the leakage grew, I eventually dealt with it by keeping a couple of quarts of oil in the trunk “just in case.” Eventually, I took the car to a dealership—but by the time they finished estimating the cost of a head gasket repair, let’s just say that, even on my limited budget, I could buy a LOT of oil by the quart, over a long period of time, and still be ahead financially.

“Leakage”—the withdrawal of retirement savings via loan or distribution prior to retirement— is a matter of ongoing discussion among employers, regulators, and policy makers alike. In fact, EBRI Research Director Jack VanDerhei was recently asked to present findings on “The Impact of Leakages on 401(k) Accumulations at Retirement Age” to the ERISA Advisory Council in Washington.[1]

EBRI’s analysis considered the impact on young employees with more than 30 years of 401(k) eligibility by age 65 if cashouts at job turnover, hardship withdrawals (and the accompanying six-month suspension of contributions) and plan loan defaults were substantially reduced or eliminated. The analysis assumed automatic enrollment and (as explicitly noted) no behavioral response on the part of participants or plan sponsors if that access to plan balances was eliminated.

Looked at together, EBRI found that there was a decrease in the probability of reaching an 80 percent real income replacement rate (combining 401(k) accumulations and Social Security benefits) of 8.8 percentage points for the lowest-income quartile and 7.0 percentage points for those in the highest-income quartile. Said another way, 27.3 percent of those in the lowest-income quartile (and 15.2 percent of those in the highest-income quartile) who would have come up short of an 80 percent real replacement rate under current assumptions WOULD reach that level if no leakages are assumed.

The EBRI analysis also looked at the impact of the various types of “leakage” individually. Of loan defaults, hardships, and cashouts at job change, cashouts at job change were found to have a much more serious impact on 401(k) accumulation than either plan loan defaults or hardship withdrawals (even with the impact of a six-month suspension of contributions included). The leakages from cashouts resulted in a decrease in the probability of reaching an 80 percent real replacement rate of 5.9 percentage points for the lowest-income quartile and 4.5 percentage points for those in the highest-income quartile. That effect from cashouts—not loans or hardship withdrawals—turns out to be approximately two-thirds of the leakage impact.

However, and as the testimony makes clear, it’s one thing to quantify the impact of not allowing early access to these funds—and something else altogether to assume that participants and plan sponsors would not respond in any way to those changes, perhaps by reducing contributions,[2] potentially offsetting some or all of the prospective gains from restricting access to those funds.

Because ultimately, whether you’re dealing with an old car or your retirement savings account, what matters isn’t how much “leaks” out—it’s how much you put in, and how much you have to “run” on.

Notes

[1] EBRI’s testimony for the ERISA Advisory Council, U.S. Department of Labor Hearing on Lifetime Participation in plans is available online here.  

[2] An EBRI/ICI analysis published in the October 2001 EBRI Issue Brief found that, “[o]n average, a participant in a plan offering loans appeared to contribute 0.6 percentage point more of his or her salary to the plan than a participant in a plan with no loan provision.” Testimony provided to the ERISA Advisory Council testimony notes that it’s likely that a similar relationship exists with respect to the availability of hardship withdrawals. See “Contribution Behavior of 401(k) Plan Participants,” online here.

“Short” Changed?

By Nevin Adams, EBRI

My wife is fond of recounting one of our early dates when we ran out of gas.  Now, we were in the heart of a Chicago suburb at the time, not the middle of nowhere, and while the hour was late, I continue to maintain that it was a simple case of my misreading the gas gauge in a relatively new car with which I hadn’t yet gained a full appreciation for just how far I could push such things.  My wife, of course, has always accused me of a more “nefarious” purpose.

It would be more difficult to explain such an outcome these days.  We’ve gone from vehicles that simply had a floating gauge and a range of red at the 1/8 tank line, to those that have a solid and then a blinking yellow light, to ones that beep and flash and tell you how many miles you have left before you run out.

As inconvenient as running out of gas late at night can be, it surely pales in comparison to the prospects of running short of money in retirement.  EBRI has, for more than a decade now, used highly sophisticated modeling techniques to gauge the retirement readiness of baby boomers and Gen Xers.  One of the primary outputs of EBRI’s Retirement Security Projection Model (RSPM)[i] is the production of Retirement Readiness Ratings (RRRs), which represent the percentage of simulated life-paths that do not run short of money in retirement.  The 2014 version of RSPM found that over half of baby boomer and Gen Xer households would not run short of money in retirement.  However, when the results were analyzed by preretirement wage quartile, we found that while 86.4 percent of the highest income quartile were projected to not run short, just 16.8 percent of the lowest income quartile would not.

While it is useful, certainly from a public policy perspective, to know not only how many but also what types of individuals are projected to run short of money in retirement, it begs the question: when will they run short?

A recent EBRI Notes article[ii] provides new results showing how many years into retirement baby boomer and Gen Xer households are simulated to run short of money, by preretirement income quartile and for a variety of assumptions, as well as taking into account the impact of the potentially catastrophic expenses of nursing home and home health care expenses.  Not surprisingly, it finds that those in the lowest income brackets are most likely to run short.

Moreover, while some in all income brackets—including the highest—may run short at some point during their retirement, the EBRI analysis also found that, when nursing home and home health care expenses are factored in, the number of households in the lowest income quartile that are projected to run short of money within 20 years of retirement is considerably larger than those in the other three income quartiles combined.

The EBRI analysis provides valuable insights for policymakers, providers and employers alike because, whether you’re concerned about running out of gas short of your destination – or short of money in retirement – it’s important that your gauges be accurate, and appropriate to the vehicle in which you’re riding there.

• Notes

[i] A Brief Description of EBRI’s Retirement Security Projection Model® is available here.

[ii] The June EBRI Notes article, ““Short” Falls: Who’s Most Likely to Come up Short in Retirement, and When?” is available online here.

The Hassle Factor

By Nevin Adams, EBRI

Much is made these days of the application of behavioral finance and the implications for plan design, as well as the role of choice architecture in helping workers make “better” (if not more informed) benefit decisions.  Valuable as these insights have been, I think much of human behavior (or lack thereof) in these matters can be more simply explained.

What’s at work is a concept a friend of mine described to me more than 20 years ago – something he called “the hassle factor.”  It was a philosophy he routinely applied in many aspects of his personal and professional life.  Simply stated, presented with a choice between doing something that is hard, time-consuming, complicated, or even inconvenient, and doing something else, my friend – and, in fairness, human beings generally seem to be – inclined to opt for the latter.

Of course, the “hassle factor” CAN be trumped by exterior needs or forces, as anyone who has endured the long lines at the DMV or sat through the background music on an interminably long customer service line can attest.  That said, things like an unduly complicated 401(k) enrollment form/process can certainly serve as a barrier to plan entry, and there’s every reason to expect that the same might apply when it comes time to exit the plan.

Job change is a point in time at which a lot of important decisions are made—some voluntary and some forced upon us—and the disposition of one’s retirement savings account certainly looms large among them.  A recent EBRI Notes article examined what workers age 50 and above did with their defined contribution account balances at the point of job change, looking at data from the Health and Retirement Study (HRS), a study of a nationally representative sample of U.S. households with individuals age 50 and over.  EBRI analyzed responses from 2008 and 2010 for this study.

In terms of demographic characteristics, no significant difference was found between men and women in terms of their DC account balances and what they chose to do with them at job change.  And while married or partnered individuals were less likely to withdraw their assets and more likely to roll them over into an IRA than singles, the differences were small.

The EBRI analysis did find that a decision to take a withdrawal in cash declined with higher account balances, higher incomes, existing ownership of an IRA, and higher financial wealth. Not surprisingly, the decision to cash out rose with individual debt levels.

However, among those who left their employer but remained in the workforce, the most common outcome was to leave their retirement account balance with their prior employer’s plan.  The EBRI report notes that, unlike the outcomes detailed above, there was no clear trend between the financial variables, and the decision to leave those DC balances in the prior employer plans.

As for what might explain that outcome, the report noted that it might simply be a decision to postpone taking the money until it was needed, or that there “may be behavioral factors, such as inertia, driving what might be seen as a ‘non-decision.’”

Or, as my friend might have been inclined to say, a non-decision based on the “hassle factor.”

• Notes

“Take it or Leave it? The Disposition of DC Accounts: Who Rolls Over into an IRA? Who Leaves Money in the Plan and Who Withdraws Cash?” is published in the EBRI May Notes, available here.