Social Security spousal benefits? More than 50% of people aren't aware they have them

Enough about Social Security already. Had your fill of being lectured on why your clients need to delay benefits? Read enough about the phased-out File and Suspend rules? Surely the media has beat Social Security to death.

Before you stuff your Social Security notes in the nether regions of your file cabinet and get back to worrying about the new DoL rules, you might want to look at a recent Government Accountability Office report.

The report, released on Sept. 14, raises red flags about the continued lack of understanding among the general public of how Social Security works and should be of interest to all advisers. It additionally identifies important behavioral biases that interfere with smart claiming decisions.

The GAO initiative surveyed existing Social Security research, which either evaluated how well people understand Social Security benefits or explored the important factors that govern their decision-making behavior.

Social Security is the primary source of retirement income for many people, providing an aggregate of 52% of all income for people over 65. The report found a shocking lack of basic consumer knowledge about these benefits even in the face of dramatically increased adviser expertise on the program and its features.

SPOUSAL BENEFITS
Spousal benefits are a core feature and benefit of the program. They allow a person to collect a benefit based on the work history of their spouse regardless of whether that person ever worked a day in his or her life. A full 50% of respondents did not know that a Social Security payroll tax-paying history was not required to qualify for spousal benefits. Even more surprising, 52% of respondents didn’t even know that there was such a thing as a spousal benefit.

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There is also confusion about taxation. As much as 85% of Social Security benefits could be taxed, depending on one’s total income level, but 42% of respondents did not even know that benefits could be taxed.

While many people are woefully uninformed about the mechanics of Social Security, better information alone is not enough to guarantee better claiming behavior. The report also describes the significant effect of behavioral biases on decision-making.

Behavioral research shows that individuals are strongly influenced by how information is presented. Different ways of framing a topic, for instance, can strongly affect decision-making. Here are two examples from the GAO report.

BREAK-EVEN ANALYSIS
Break-even analysis is a very common tool used by the Social Security Administration and financial professionals alike (myself included) to explain the effects of delaying claiming benefits.

Break-even analysis demonstrates that whether one claims benefits as early as 62, as late as 70, or somewhere in between, cumulative lifetime benefit will be the same at a future break-even age, usually in one’s early eighties. This is not by chance. The benefit structure is set up to provide an actuarially equivalent benefit regardless of the initial claiming age.

Break-even analysis was developed in order to help individuals understand the system and make informed choices. Research shows, however, that using break-even analysis can cause people to make worse decisions by inducing individuals to claim benefits at earlier ages, not later ages.

There appear to be strong behavioral biases at work due to the way that break-even analysis frames the issue. This tool seems to stimulate the very well-researched aversion to loss, which most people exhibit. This loss aversion plays out in a few ways.

Individuals seem to irrationally fear the potential loss of lifetime benefits due to an early death, no matter how unlikely that scenario is when they view the break-even analysis results. They also view the option of delaying claiming as placing them in a stressful situation of needing to ‘catch up’ to the lifetime benefits they would have collected by claiming early. The net effect is that more people chose earlier filing when presented with the break-even analysis than if they were not.

LONGEVITY RISK
Using break-even analysis also appears likely to contribute to greater longevity risk.

Longevity is increasing and represents one of the main financial risks people face in later life. One is four people over 65 is expected to live to at least 90. A 65-year-old couple has a 50% chance that one of the spouses will live till at least 92.

Delaying claiming Social Security provides a crucial ‘longevity insurance’ type of benefit. Delaying claiming insures against financial challenges of longer lives by providing significantly higher lifetime monthly income. This is especially important the older one gets and as the cost of living increases.

Unfortunately, break-even analysis implicitly de-emphasizes the essential ‘longevity insurance’ feature of delaying claiming. It causes individuals to fixate on perceived short-term losses while ignoring long-term needs.

Compounding longevity risk is the fact that many individuals do not understand the real probability of living a long life. Two out of five respondents over 45 underestimated average life expectancy by five years.

Furthermore, even if they accurately estimate life expectancy, people tend to anchor onto this lifetime average as a practical life expectancy for planning purposes. They often do not realize that almost 50% of people, by definition, will live beyond this age.

AN IMPORTANT WAKE-UP CALL
This report is an important wake-up call to the still unfulfilled need for client guidance about this pillar of retirement planning. There remains a clear need for advisers not only to continue to provide information about the Social Security system but also to help clients avoid the snares of these behavioral traps.

Make sure clients really understand the realistic chances of living a long life. Help them anchor the discussion on claiming at later ages and let them perceive early claiming in terms of loss. And join me in retiring the break-even analysis.

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Retirement planning Social Security Behavioral economics Client communications
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