Gary Burtless, a senior fellow in Economic Studies, explains new research on the growing longevity gap between high-income and low-income Americans, especially among the aged.

“Life expectancy difference of low income workers, middle income workers, and high income workers has been increasing over time,” Burtless says. “For people born in 1920 their life expectancy was not as long typically as the life expectancy of people who were born in 1940. But those gains between those two birth years were very unequally distributed if we compare people with low mid-career earnings and people with high mid-career earnings.” Burtless also discusses retirement trends among the educated and non-educated, income inequality among different age groups, and how these trends affect early or late retirement rates.

Also stay tuned for our regular economic update with David Wessel, who also looks at the new research and offers his thoughts on what it means for Social Security.

Show Notes

Later retirement, inequality and old age, and the growing gap in longevity between rich and poor

Disparity in Life Spans of the Rich and the Poor Is Growing

Subscribe to the Brookings Cafeteria on iTunes, listen on Stitcher, and send feedback email to BCP@Brookings.edu.

      

Researchers have long known that the rich live longer than the poor. Evidence now suggests that the life expectancy gap is increasing, at least here the United States, which raises troubling questions about the fairness of current efforts to protect Social Security.

There's nothing particularly mysterious about the life expectancy gap. People in ill health, who are at risk of dying relatively young, face limits on the kind and amount of work they can do. By contrast, the rich can afford to live in better and safer neighborhoods, can eat more nutritious diets and can obtain access to first-rate healthcare. People who have higher incomes, moreover, tend to have more schooling, which means they may also have better information about the benefits of exercise and good diet.

Although none of the above should come as a surprise, it's still disturbing that, just as income inequality is growing, so is life-span inequality. Over the last three decades, Americans with a high perch in the income distribution have enjoyed outsized gains.

Using two large-scale surveys, my Brookings colleagues and I calculated the average mid-career earnings of each interviewed family; then we estimated the statistical relationship between respondents' age at death and their incomes when they were in their 40s. We found a startling spreading out of mortality differences between older people at the top and bottom of the income distribution.

For example, we estimated that a woman who turned 50 in 1970 and whose mid-career income placed her in the bottom one-tenth of earners had a life expectancy of about 80.4. A woman born in the same year but with income in the top tenth of earners had a life expectancy of 84.1. The gap in life expectancy was about 3½ years. For women who reached age 50 two decades later, in 1990, we found no improvement at all in the life expectancy of low earners. Among women in the top tenth of earners, however, life expectancy rose 6.4 years, from 84.1 to 90.5. In those two decades, the gap in life expectancy between women in the bottom tenth and the top tenth of earners increased from a little over 3½ years to more than 10 years.

Our findings for men were similar. The gap in life expectancy between men in the bottom tenth and top tenth of the income distribution increased from 5 years to 12 years over the same two decades.

Rising longevity inequality has important implications for reforming Social Security. Currently, the program takes in too little money to pay for all benefits promised after 2030. A common proposal to eliminate the funding shortfall is to increase the full retirement age, currently 66. Increasing the age for full benefits by one year has the effect of lowering workers' monthly checks by 6% to 7.5%, depending on the age when a worker first claims a pension.

For affluent workers, any benefit cut will be partially offset by gains in life expectancy. Additional years of life after age 65 increase the number years these workers collect pensions. Workers at the bottom of the wage distribution, however, are not living much longer, so the percentage cut in their lifetime pensions will be about the same as the percentage reduction in their monthly benefit check.

Our results and other researchers' findings suggest that low-income workers have not shared in the improvements in life expectancy that have contributed to Social Security's funding problem.

It therefore seems unfair to preserve Social Security by cutting future benefits across the board. Any reform in the program to keep it affordable should make special provision to protect the benefits of low-wage workers.

Editor's note: This piece originally appeared in The Los Angeles Times. 

      

The past few months have seen a flurry of reports on discouraging trends in life expectancy among some of the nation’s struggling populations. Different researchers have emphasized different groups and have tracked longevity trends over different time spans, but all have documented conspicuous differences between trends among more advantaged Americans compared with those in worse circumstances.

In a study published in April, Stanford economist Raj Chetty and his coauthors documented a striking rise in mortality rate differences between rich and poor. From 2001 to 2014, Americans who had incomes in the top 5 percent of the income distribution saw their life expectancy climb about 3 years. During the same 14-year span, people in the bottom 5 percent of the income distribution saw virtually no improvement at all.

Using different sources of information about family income and mortality, my colleagues and I found similar trends in mortality when Americans were ranked by their Social-Security-covered earnings in the middle of their careers. Over the three decades covered by our data, we found sizeable differences between the life expectancy gains enjoyed by high- and low-income Americans. For 50-year old women in the top one-tenth of the income distribution, we found that women born in 1940 could expect to live almost 6.5 years longer than women in the same position in the income distribution who were born in 1920. For 50-year old women in the bottom one-tenth of the income distribution, we found no improvement at all in life expectancy. Longevity trends among low-income men were more encouraging: Men at the bottom saw a small improvement in their life expectancy. Still, the life-expectancy gap between low-income and high-income men increased just as fast as it did between low- and high-income women.

One reason these studies should interest voters and policymakers is that they shed light on the fairness of programs that protect Americans’ living standards in old age. The new studies as well as some earlier ones show that mortality trends have tilted the returns that rich and poor contributors to Social Security can expect to obtain from their payroll tax contributions.

If life expectancy were the same for rich and poor contributors, the lifetime benefits workers could expect to receive from their contributions would depend solely on the formula that determines a worker’s monthly pensions. Social Security’s monthly benefit formula has always been heavily tilted in favor of low-wage contributors. They receive monthly checks that are a high percentage of the monthly wages they earn during their careers. In contrast, workers who earn well above-average wages collect monthly pensions that are a much lower percentage of their average career earnings.

The latest research findings suggest that growing mortality differences between rich and poor are partly or fully offsetting the redistributive tilt in Social Security’s benefit formula. Even though poorer workers still receive monthly pension checks that are a high percentage of their average career earnings, they can expect to receive benefits for a shorter period after they claim pensions compared with workers who earn higher wages. Because the gap between the life spans of rich and poor workers is increasing, affluent workers now enjoy a bigger advantage in the number of months they collect Social Security retirement benefits. This fact alone is enough to justify headlines about the growing life expectancy gap between rich and poor

There is another reason to pay attention to the longevity trends. The past 35 years have provided ample evidence the income gap between America’s rich and poor has widened. To be sure, some of the most widely cited income series overstate the extent of widening and understate the improvement in income received by middle- and low-income families. Nonetheless, the most reliable statistics show that families at the top have enjoyed faster income gains than the gains enjoyed by families in the middle and at the bottom. Income disparities have gone up fastest among working-age people who depend on wages to pay their families’ bills. Retirees have been better protected against the income and wealth losses that have hurt the living standards of less educated workers. The recent finding that life expectancy among low-income Americans has failed to improve is a compelling reason to believe the trend toward wider inequality is having profound impacts on the distribution of well-being in addition to its direct effect on family income.

Over the past century, we have become accustomed to seeing successive generations live longer than the generations that preceded them. This is not true every year, of course, nor is it always clear why the improvements in life expectancy have occurred. Still, it is reasonable to think that long-run improvements in average life spans have been linked to improvements in our income. With more money, we can afford more costly medical care, healthier diets, and better public health. Even Americans at the bottom of the income ladder have participated in these gains, as public health measures and broader access to health insurance permit them to benefit from improvements in knowledge. For the past three decades, however, improvements in average life spans at the bottom of the income distribution have been negligible. This finding suggests it is not just income that has grown starkly more unequal.

Editor's note: This piece originally appeared in Real Clear Markets.

       

This week, the richest business leaders and investors from around the world will gather in Davos, Switzerland, for the annual meeting of the World Economic Forum. In keeping with tradition, a small portion of the agenda will be devoted to global development and the plight of people living at the other end of the global income distribution.

Philanthropy is one way of linking the fortunes of these disparate communities. What if some of the mega-rich could be persuaded to redistribute their wealth to the extreme poor?

This question may feel hackneyed, but it deserves a fresh hearing in light of a dramatic reduction in the global poverty gap over the past several years (Figure 1). The theoretical cost of transfers required to lift all poor people’s income up to the global poverty line of $1.90 a day stood at approximately $80 billion [1] in 2015, down from over $300 billion in 1980. (Values expressed here are in 2015 market dollars.)

Figure 1. Official foreign aid now exceeds the annual cost of closing the poverty gap

Source: Authors’ calculations based on OECD, World Bank

This reduction can be unpacked into two parts. The first is a steep decline in the number of people living below the global poverty line. This is increasingly recognized as one of the defining features of the era. A U.N. goal to halve the poverty rate in the developing world between 1990 and 2015 was nearly achieved twice over. The second and lesser-known factor is the shrinking average distance of the world’s poor from the poverty line. In 1980, the mean daily income of those living below $1.90 was $1.09. In 2012 it was 25 cents higher at $1.34. (Values expressed here in 2011 purchasing power parity dollars.)   

Despite this good news, global poverty still demands attention. Hundreds of millions of people continue to suffer this most acute form of deprivation. In several countries, the prospects for ending poverty over the next generation, in line with a recently endorsed successor U.N. goal, appear challenging at best.

Figure 1 illustrates that in 2006, global aid flows exceeded the cost of the global poverty gap for the first time. This suggests that the elimination of extreme poverty should be possible simply through a more efficient allocation of aid. However, this confuses foreign aid’s goals and functions. The bulk of official foreign aid is used in the provision of public goods, such as physical infrastructure and strengthening institutions. Only 2 percent is directed to social payments and their administration. If the elimination of extreme poverty is to be achieved through targeted transfers, it depends on sources other than foreign aid.

The main source of transfers to the poor is welfare programs run and financed by developing countries themselves. These social safety nets have emerged as an increasingly prominent instrument in the toolkit of developing economy governments. Eighty-three percent of developing economies employ unconditional cash transfer programs, although many are small in scale. Several countries are in the process of building the apparatus for more accurate targeting and authentication through the assembly of beneficiary registries and the rolling out of identity programs. In at least 10 developing countries, social safety nets have succeeded in establishing a social floor by lifting all those people under the poverty line up above the threshold. In the vast majority, however, safety nets are insufficiently targeted or generous for that purpose, reflecting not only resource constraints, but also political choices that can be resistant to change.

A complementary approach is to consider the role of private mechanisms and wealth. NGOs were among the original pioneers of cash transfers in the developing world. More recently, the NGO GiveDirectly has designed a compelling new method of charitable giving that sends money directly to the poor using digital monitoring and payment technology. Its approach has received strong endorsements from independent charity assessors and has been validated by impact evaluations. Yet the scale of its existing donations remains tiny relative to the global poverty gap.

This is where Davos’s global elite could come into play: What difference could a philanthropic donation from the world’s richest people make?

Comparing billionaire wealth with the global poverty gap

To explore this question, we begin by identifying those developing countries that are home to a least one billionaire. (Our analysis is restricted to billionaires by data, not by the potential largesse of the world’s multi-millionaires. We focus our attention on billionaires in the developing world given the traditional focus of philanthropy on domestic causes.) Let’s assume that the richest billionaire in each country agrees to give away half of his or her current wealth among his or her fellow citizens, disbursed evenly over the next 15 years, roughly in accordance with the Giving Pledge promoted by Bill Gates. That money would be used exclusively to finance transfers to poor people based on their current distance from the poverty line. Transfers would be sustained at the same level for the full 15-year period with the aim of providing a modicum of income security that might allow beneficiaries to sustainably escape from poverty by 2030.

Table 1 summarizes the key results. In each of three countries—Colombia, Georgia, and Swaziland—a single individual's act of philanthropy could be sufficient to end extreme poverty with immediate effect. Swaziland is an especially striking case as it is among the world’s poorest countries with 41 percent of its population living under the poverty line. In Brazil, Peru, and the Philippines, poverty could be more than halved, or eliminated altogether if the billionaires could be convinced to match Mark Zuckerberg’s example and increase their donation to 99 percent of their wealth.

Table 1. The potential impact on poverty of individual billionaire giving pledges

Country	Cost per year to close the poverty gap	Wealthiest billionaire	Net worth	Poverty rate pre-transfer	Poverty rate post-transfer
Nigeria	$12,070 m	A. Dangote	$14,700 m	45%	43%
Swaziland	$85 m	N. Kirsh	$3,900 m	41%	0%
Tanzania	$1,645 m	M. Dewji	$1,250 m	40%	39%
Uganda	$1,035 m	S. Ruparelia	$1,100 m	33%	32%
Angola	$1,277 m	I. dos Santos	$3,300 m	28%	25%
S. Africa	$1,068 m	J. Rupert	$7,400 m	18%	14%
Philippines	$648 m	H. Sy	$14,200 m	12%	3%
Nepal	$144 m	B. Chaudhary	$1,300 m	12%	8%
India	$5,839 m	M. Ambani	$21,000 m	12%	10%
Guatemala	$215 m	M. Lopez Estrada	$1,000 m	12%	10%
Venezuela	$870 m	G. Cisneros	$3,600 m	11%	9%
Georgia	$40 m	B. Ivanishvili	$5,200 m	10%	0%
Indonesia	$845 m	R. Budi Hartono	$9,000 m	9%	6%
Colombia	$444 m	L. C. Sarmiento	$13,400 m	7%	0%
Brazil	$1,223 m	J. P. Lemann	$25,000 m	4%	1%
Peru	$95 m	C. Rodriguez-Pastor	$2,100 m	3%	1%
China	$3,072 m	W. Jianlin	$24,200 m	3%	2%

Source: Authors’ calculations based on Forbes, International Monetary Fund, PovcalNet, and the World Bank. Poverty rates post-transfer calculated based on average distance of the poor from the poverty line.  

In other countries—Nigeria, Tanzania, Uganda, and Angola—the potential impact on poverty is only modest. A number of factors account for differences between countries, but two factors that penalize African countries are especially noteworthy. First, the depth of poverty in Africa remains high, with 15 percent of the population living on less than $1.00 a day; and second, Africa has relatively high prices compared to other poor regions, which means more dollars are required to deliver the same amount of welfare.  

For those nations that have more than one billionaire, an alternative scenario is that the country’s club of billionaires makes the pledge together and combines resources to tackle domestic poverty. This would end poverty in China, India, and Indonesia—countries that rank first, second, and fifth globally in terms of the absolute size of their poor populations. The last two columns of Table 2 describe the results.

Table 2. The potential impact on poverty of collective billionaire giving pledges

Country	Cost per year of closing the poverty gap	No. of Billionnaires	Net Worth	Poverty rate pre-transfer	Poverty rate post-transfer
Nigeria	$12,070 m	5	$22,900 m	45%	42%
Swaziland	$85 m	1	$3,900 m	41%	0%
Tanzania	$1,645 m	2	$2,250 m	40%	38%
Uganda	$1,035 m	1	$1,100 m	33%	32%
Angola	$1,277 m	1	$3,300 m	28%	25%
S. Africa	$1,068 m	7	$28,550 m	18%	2%
Philippines	$648 m	11	$51,300 m	12%	0%
Nepal	$144 m	1	$1,300 m	12%	8%
India	$5,839 m	90	$294,250 m	12%	0%
Guatemala	$215 m	1	$1,000 m	12%	10%
Venezuela	$870 m	3	$9,600 m	11%	7%
Georgia	$40 m	1	$5,200 m	10%	0%
Indonesia	$845 m	23	$56,150 m	9%	0%
Colombia	$444 m	3	$18,500 m	7%	0%
Brazil	$1,223 m	54	$181,050 m	4%	0%
Peru	$95 m	6	$8,750 m	3%	0%
China	$3,072 m	213	$564,700 m	3%	0%

Source: Authors’ calculations based on Forbes, IMF, PovcalNet, and the World Bank. Poverty rates post-transfer calculated based on average distance of the poor from the poverty line.

This exercise is of course laden with simplifying assumptions. [2] It is intended to provoke discussion, not to provide definitive figures. Moreover, it is open to debate whether transfers represent the most cost-effective way of sustainably ending poverty, the extent to which transfers ought to be targeted, the efficacy of building private transfer programs alongside public safety nets, and whether cash transfers represent the most appropriate use of billionaires’ philanthropy.  

What is less contestable is that a falling global poverty gap presents an opportunity for more systematic efforts for poverty reduction. This raises the question: How low does the poverty gap have to fall before we explicitly design programs to bring the remaining poor above the poverty line? We would argue that we are already beyond this point, not least in countries that remain a long way from ending poverty. Were a billionaire at Davos to commit to using his or her wealth in this fashion, it could trigger a powerful demonstration effect of innovative solutions—not just for other billionaires, but for countries that are currently at risk of being left behind.

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[1] The cost of the global poverty gap in 2015 is an overestimate compared with the World Bank’s tentative poverty estimate for the same year. This is due to a different treatment of Nigeria. For this exercise, we rely on data from the 2009/10 Harmonized Nigeria Living Standards Survey reported in PovcalNet, despite its well-documented problems, whereas the Bank draws on the 2010/11 General Household Survey.

[2] Simplifying assumptions include: zero administrative costs in identifying the poor, assessing their income, and administering payments with no leakages, or no portion of those costs being borne by billionaires; the efficacy of administering miniscule transfers to those who stand on the margin of the poverty line; and no change in the cost of closing the poverty gap in a country over time, whether due to population growth, an increase or decrease in poverty, or a change in prices relative to the dollar.   

      

       

       

Over the past two decades, the Puget Sound area’s innovation-driven economy has become a magnet for highly educated people from across the country and around the world. Drawn to the region by some of the nation’s most innovative companies—Microsoft, Boeing, Nintendo, Amazon, Genentech and the Fred Hutchinson Cancer Research Center, to name a few—the Puget Sound region ranks well on measures of educational attainment. Of the nation’s largest 100 metro areas, the Seattle-Tacoma-Bellevue area is 11th in bachelor’s degree holders and 17th in graduate degree attainment.

But for all its brainpower, the region has fallen behind in terms of cultivating homegrown talent, particularly in less affluent school districts located in South Seattle and South King County. Starting from an early age, low-income students and children of color in these communities tend to lag behind on important indicators of educational success. The effects of this achievement gap worsen with time, putting these students at a serious disadvantage that often affects their ability to find jobs and their earning potential. 

In an effort to address this achievement gap, the Community Center for Education Results has teamed up with the city of Seattle, the University of Washington, the Seattle Community Colleges District, the Puget Sound Educational Service District, the Bill & Melinda Gates Foundation and others to form the Road Map Project, a coalition working to double the number of South Seattle and South King County students pursuing a college diploma or career credential by 2020.

What’s innovative about the Road Map Project is its focus on collective action and community engagement. By bringing together key stakeholders to collaborate on shared goals, the project is creating a new model for efforts to reduce inequality in educational attainment. Its cradle-to-college-and-career approach aims to improve student outcomes beginning with access to prenatal care and kindergarten readiness all the way through to elementary and secondary schooling and beyond. Through a combination of community outreach and partnership building, data-driven goal-setting and performance management, the project supports area organizations working to boost student success and close the achievement gap in South Seattle and South King County.

In December, the Project released its baseline report, which provides a detailed snapshot of student achievement in the Road Map region during the 2009-2010 school year. With this initial data in hand, the project will be able to work with area organizations to encourage and track progress on a wide variety of indicators, ranging from birth weight and full-day kindergarten enrollment to proficiency in reading, math, and science, parent engagement to graduation rates and postsecondary enrollment. “Demographics should not determine the destiny of children in this region,” says Mary Jean Ryan, executive director of the Community Center for Education Results. “The children who grow up here deserve as good of an education as the people who show up here.”

      

In recent months, we’ve heard a lot about the tech industry's gender gap. According to the Bureau of Labor Statistics, women represent just 19.7 percent of software developers, an occupation with a median salary of over $92,000 a year.

Women’s underrepresentation in these and other well-paying tech jobs is a major concern given that women still earn only 78 cents for every dollar earned by men. Meanwhile, labor shortages in software development and other high-skill occupations have tech companies worried about whether they’ll be able to grow as fast as they’d like.

Seattle’s Ada Developers Academy takes aim at both challenges. This highly selective, tuition-free program prepares women students to be full-stack software developers, meaning that they can do both front-end—what the user sees—and back-end—what’s behind the scenes that makes everything work properly. Prior experience in tech isn’t necessary to earn a spot at Ada: The main prerequisite is a strong desire to pursue a career in software development.

Ada combines six months of intensive classroom instruction with a six-month internship at a sponsoring company so that students have the opportunity to apply what they’ve learned in real-world situations. Sponsoring companies—which currently include Nordstrom, Redfin, Zillow and Expedia, among others—also benefit from the internships, which provide direct access to prospective employees at a time when proficient software developers can be hard to find.

If Ada’s first cohort is any indication, the academy’s combination of rigorous in-class training and hands-on work experience has tremendous value on the job market. All 15 members of the inaugural class got job offers for software developer positions before they graduated from the program.

Seattle has long been known for its vibrant tech scene. Ada Developers Academy, its sponsoring companies and its graduates together enhance that reputation by fostering a more supportive environment for women in the city’s tech industry. In the face of serious gender disparities, organizations like Ada Developers Academy in Seattle show that it’s possible to create career pathways that will perhaps one day close the tech gender gap.

       

       

Gary Burtless, a senior fellow in Economic Studies, explains new research on the growing longevity gap between high-income and low-income Americans, especially among the aged.

“Life expectancy difference of low income workers, middle income workers, and high income workers has been increasing over time,” Burtless says. “For people born in 1920 their life expectancy was not as long typically as the life expectancy of people who were born in 1940. But those gains between those two birth years were very unequally distributed if we compare people with low mid-career earnings and people with high mid-career earnings.” Burtless also discusses retirement trends among the educated and non-educated, income inequality among different age groups, and how these trends affect early or late retirement rates.

Also stay tuned for our regular economic update with David Wessel, who also looks at the new research and offers his thoughts on what it means for Social Security.

Show Notes

Later retirement, inequality and old age, and the growing gap in longevity between rich and poor

Disparity in Life Spans of the Rich and the Poor Is Growing

Subscribe to the Brookings Cafeteria on iTunes, listen on Stitcher, and send feedback email to BCP@Brookings.edu.

       

       

       

In the U.S., the older and younger generations look very different. While older Americans are predominantly white, young Americans, like millennials, have more varied racial backgrounds. These demographic chasms have political implications: white, older Americans tend to favor conservative politics and have overwhelmingly voted for Republican candidates in past elections; younger Americans, regardless of racial identity, tend to lean left and support broadening social support programs.

In a podcast segment, I explore how these racial and political divides between generations will, no doubt, impact this year’s presidential election and races in the future.

Listen to the full podcast here: