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.

Rumor has it that an economist started hitting the gym after finishing two milestone research papers, in expectation of a Nobel Prize, which is only rewarded to a living person. Almost no one denies that greater expectations translate into healthier behaviors, while the converse rarely enters the health policy discussion: expectations of a less-than-desirable future may lead to unhealthy behaviors, including smoking, excessive drinking, sedentary lifestyles, and drug abuse. The health issues of the deprived may have a deeper root in economics.

Professor Zhu Xi from Shanghai Jiao Tong University and I found evidence of this in our working paper “Affordable Care Encourages Healthy Living: Theory and Evidence from China's New Cooperative Medical Scheme”. Standard economic theory predicts that providing medical insurance encourages unhealthy behavior by mitigating economic consequences. We developed a novel theoretical framework in which the opposite is possible because insurance makes longevity more affordable and thus desirable.

We test the theory utilizing a unique experiment of China introducing the New Cooperative Medical Scheme, unique in its long-term credibility necessary for their proposed channel. This scheme reduces cigarette use by around 9% and bolsters subjective perception of the importance of physical exercise and healthy diet. These effects depend significantly on the number of children and the local culture of elderly care. We can rule out alternative explanations of these robust results. The empirical evidence affirms a causal link between concerns about negative bequest and unhealthy behavior, and how to break it.

Breaking the causal link would not be an easy task, because bringing a brighter future to the deprived would not be. But this does not revoke the necessity of considering this “expectation” mechanism in designing health policies. For example, it is trendy to study how smokers may substitute other tobacco products for cigarettes and the ensuing health consequences. According to our analytical framework, the substitution could be broader, that is, a person expecting a miserable future would consciously or unconsciously resort to other means of shortening life. Case and Deaton, in their sensational paper, pinned down drug and alcohol poisonings, suicide, and chronic liver diseases and cirrhosis as the causes of the rising mortality in midlife among white Americans. The war against tobacco use may be complicated by this potential substitution.

In general, recognizing the source of a problem is the first step in solving it. The association between income and life expectancy in the United States is well identified by a Brookings study by Bosworth and Burke and a paper by Chetty et al. The hypothesis that poverty may rationally trigger unhealthy behaviors and thus shorter life expectancy is under-explored.

Our research suggests that constructing a social safety net – by subsidizing health or old-age insurance, for example – brightens the future and thus promotes healthy living. Libertarians who believe in “from each as they choose, to each as they are chosen” may frown upon the idea of expanding the government for the sake of saving people from their own poor choices. As usual, an argument could be made that the positive externality outweighs the cost. In this case, a better social safety net can make a person more forward-looking and thus more beneficial to the society.

Discovering hidden incentives and mechanisms is one of the primal tasks of economists. Our research suggests, surprisingly, that both the Center of Disease Control and Prevention and the Department of the Treasury are important players in promoting healthy living. Let them be.

Ninety-three years ago yesterday, the Boston police force went on strike, leaving the city unprotected while the state scrambled to find replacements. Governor Calvin Coolidge’s declaration of support for the city—he said that “There is no right to strike against the public safety, anywhere, anytime”—established his national reputation that ultimately led to the presidency.

Public outrage at labor actions that compromise public safety has historically been a bipartisan affair.  Coolidge was a Republican but his actions earned the respect of Democratic President Woodrow Wilson, who hailed his re-election as Massachusetts governor as “a victory for law and order.” Nearly 20 years later, President Franklin Roosevelt shared his view that a strike by public employees of any sort is “unthinkable and intolerable.”

The impacts of the Chicago teacher strike that began today may not be as immediately obvious as the looting and vandalism that descended on Boston in 1919, but they are just as serious. Research from a large, urban school district found that teacher absenteeism has a negative impact on student learning in math.

But a strike doesn't leave students with substitute teachers—it leaves them without any school at all. Research on summer learning loss shows that being out of school has a disproportionate effect on low-income students. One recent study found that “while all students lose some ground in mathematics over the summer, low-income students lose more ground in reading, while their higher-income peers may even gain.” In other words, the consequence of being out of school is to increase the already unacceptably large achievement gap between low-income students and their affluent peers.

The American labor movement has made important contributions in areas ranging from workplace safety to child labor to employment discrimination. There are good reasons to believe that the public ought to accept higher coal prices resulting from a strike to protect the lives of miners. But the public should not tolerate damage to the education of disadvantaged students resulting from a strike over disagreements about teachers’ salaries, benefits, job security, and method of evaluation.

The Chicago Teachers Union’s differences with the city over how the public schools ought to be run may well be legitimate. But those battles should be fought in the court of public opinion and ultimately at the ballot box, not through strikes that come largely at the expense of poor children.

Buried in the middle of Table 1 in our new paper, Growth still is good for the poor, is a remarkable statistic: in a sample of 118 countries the average change in the income share of the bottom quintile of the population during the 2000s was 0.004. This is a small change, but what is striking is that it is positive. A common concern these days is that the people in the bottom part of the income distribution are being left behind. But these data show that there is no global trend in that direction. Similarly for the income share of the bottom 40%, there is no trend across countries, either in the 2000s or in earlier decades.

The other striking finding in this study, written together with Tatjana Kleineberg of Yale and Aart Kraay of the World Bank, is that changes in income share of the poor are uncorrelated with growth. In general, the relationship between the growth of mean income and the growth of income of the bottom 20% (or bottom 40%) is one-to-one; hence the title. Furthermore, about three-fourths of the variation in income of the poor across countries and over time can be accounted for by growth of average income. There are some interesting exceptions to the one-to-one relationship: Latin America in the 2000s had pro-poor growth with income of the poor rising significantly faster than mean income, while Asia had the opposite, pro-rich growth. We try to explain the changes in income share of the poor with a large number of variables covering dimensions of globalization, macroeconomic policy, and social policy (for example, government expenditure on health and education, primary school enrollment, or Gini coefficient on educational attainment). This part of the paper leads to a non-result: there are no robust correlates with changes in income shares.

What are the policy implications? I see both good news and bad news here. The fact that there is no worldwide trend towards lower income shares for the poor is good news. If there were such a trend it would suggest that globalization or some other general force was biased against the poor, and it would be hard to resist such a trend. But that is not the case. The rising inequality that we see in the U.S., for example, is not a general trend in rich countries. Other countries have found ways to maintain or increase the income share of the poor. It is also good news that growth will tend to raise the income of the poor proportionately, as it should always be possible to get most of the population to support a growth agenda. On the other hand, to the extent that we care about poverty reduction, it is bad news that we cannot explain what leads to changes in income shares of the poor and in particular what might bring about pro-poor growth.

Our findings do not imply that interventions aimed directly at the poor are pointless. But given the key role of growth in poverty reduction I favor interventions that build up the assets of the poor and enable them to participate in the market economy. A good example would be programs to ensure that the poor have access to maternal and child health services and early childhood education. Intuitively, you may think that such programs should shift income distribution in favor of the poor, and perhaps in some cases they do. But it also possible that the programs have powerful spillover benefits for the whole economy (more skilled labor, less crime – not to mention that the next potential Einstein will probably be born to a poor family in the developing world). If programs aimed at the poor have the side effect of stimulating the whole economy we should be happy about the higher growth, not disappointed that it is not pro-poor.

Read and download the paper at worldbank.org »

In the United States, the official poverty rate for 2012 stood at 15 percent based on the national poverty line which is equivalent to around $16 per person per day. Of the 46.5 million Americans living in poverty, 20.4 million live under half the poverty line. This begs the question of just how poor America’s poorest people are.

Poverty, in one form or other, exists in every country. But the most acute, absolute manifestations of poverty are assumed to be limited to the developing world. This is reflected in the fact that rich countries tend to set higher poverty lines than poor countries, and that global poverty estimates have traditionally excluded industrialized countries and their populations altogether.

An important study on U.S. poverty by Luke Shaefer and Kathryn Edin gently challenges this assumption. Using an alternative dataset from the one employed for the official U.S. poverty measure, Shaefer and Edin show that millions of Americans live on less than $2 a day—a threshold commonly used to measure poverty in the developing world. Depending on the exact definitions used, they find that up to 5 percent of American households with children are shown to fall under this parsimonious poverty line.

Methodologies for measuring poverty differ wildly both within and across countries, so comparisons and their interpretation demand extreme care.

These numbers are intended to shock—and they succeed. The United States is known for having higher inequality and a less generous social safety net than many affluent countries in Europe, but the acute deprivations that flow from this are less understood. A crude comparison of Shaefer and Edin’s estimates with the World Bank’s official $2 a day poverty estimates for developing economies would place the United States level with or behind a large set of countries, including Russia (0.1 percent), the West Bank and Gaza (0.3 percent), Jordan (1.6 percent), Albania (1.7 percent), urban Argentina (1.9 percent), urban China (3.5 percent), and Thailand (4.1 percent). Many of these countries are recipients of American foreign aid. However, methodologies for measuring poverty differ wildly both within and across countries, so such comparisons and their interpretation demand extreme care.

This brief is organized into two parts. In the first part, we examine the welfare of America’s poorest people using a variety of different data sources and definitions. These generate estimates of the number of Americans living under $2 a day that range from 12 million all the way down to zero. This wide spectrum reflects not only a lack of agreement on how poverty can most reliably be measured, but the particular ways in which poverty is, and isn’t, manifested in the U.S.. In the second part, we reexamine America’s $2 a day poverty in the context of global poverty. We begin by identifying the source and definition of poverty that most faithfully replicates the World Bank’s official poverty measure for the developing world to allow a fairer comparison between the U.S. and developing nations. We then compare the characteristics of poverty in the U.S. and the developing world to provide a more complete picture of the nature of poverty in these different settings. Finally, we explain why comparisons of poverty in the U.S. and the developing world, despite their limitations and pitfalls, are likely to become more common.

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Event Information

Global poverty and climate change are two of the most pressing challenges for global policymakers today, and require policy prescriptions that address their interrelated issues. Effective climate solutions must empower development by improving livelihoods, health and economic prospects while poverty alleviation must become a central strategy for both mitigating emissions and reducing the poor’s vulnerability to climate change.

In its fifth annual gathering, led by Lael Brainard and co-chaired by Strobe Talbott and Richard C. Blum, the Brookings Blum Roundtable addressed the challenges of climate change and development and convened leaders from both the development and climate change communities from August 1-3, 2008, to discuss and debate policy ideas that could benefit both fronts. By examining common challenges—accountability, effective deployment of resources, agenda-setting, mobilizing the public and financial resources, and achieving scale and sustainability—the Roundtable established a solid foundation for collaboration among the climate change and development communities and fostered ideas for policy action.

Keynote Sessions

Keynote Panel: “Noble Nobels: Solutions to Save the Planet”

• Steven Chu, University of California, Berkeley
• Al Gore, Generation Investment Management; 45^th Vice President of the United States

Keynote Panel: Legal Empowerment of the Poor

• Mary Robinson, Realizing Rights: The Ethical Globalization Initiative
• Madeline Albright, The Albright Group; Former U.S. Secretary of State

Keynote Panel: “How Do We Achieve Climate Justice?”

• Kumi Naidoo, CIVICUS and the Global Call to Action Against Poverty
• Mary Robinson, Realizing Rights: The Ethical Globalization Initiative
  
  

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.

Despite the undeniable benefits of education to society, the educational needs, particularly in the world’s poorest countries, remain strikingly great. There are more than 67 million children not enrolled in primary school around the world, millions of children who are enrolled in school but not really learning, and too few young people are advancing to secondary school (van der Gaag and Adams 2010). Consider, for instance, the number of children unable to read a single word of connected text at the end of grade two: more than 90 percent in Mali, more than 50 percent in Uganda, and nearly 33 percent in Honduras (USAID n.d.).

With more young people of age 12 to 24 years today than ever before who are passing through the global education system and looking for opportunities for economic and civic participation, the education community is at a crossroads. Of the 1.5 billion young people in this age group, 1.3 billion live in developing countries (World Bank 2007). The global community set the goal of achieving universal primary education by 2015 and has failed to mobilize the resources necessary, as UNESCO estimates that $16.2 billion in external resources will be need to reach this goal.

Read the full report »

Read the executive summary »

Results from this report were presented at an April 6 Center on Universal Education event at the Brookings Institution.

Learn more about the launch event »

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A wave of retrenchment by global financial institutions may be undermining years of progress in providing the world’s poor with financial services.

What appeared to be only a vague concern a year ago is now front and center in discussions regarding global financial regulation. The reason: new regulatory and legal uncertainty regarding financial services, stemming from record fines levied on a handful of banks for failures to comply with international sanctions and anti-money laundering rules. A recent successful civil action in the U.S. against Arab Bank has further increased banks’ worries about their possible civil liability. Rightly or wrongly, the financial industry is reading these actions as raising the bar for compliance. As a result, we are seeing key and vocal market players use these developments to justify a wholesale retreat from services that are a lifeline for millions of people at the bottom of the economic pyramid.

For example, late last year a big bank in Australia sent letters to companies providing remittance services laying out a stark choice: close their accounts, or the bank would unilaterally shut them down. Accounts held by remittance companies have also been closed by banks in the U.K., the U.S., and New Zealand. If these remittances providers do not find alternatives, we may experience a global reduction in remittance services, and—due to reduced competition—increased cost to use those that remain in operation.

Remittance services are not the only targets. Trade finance and civil society organizations have also been affected. For instance, in the Netherlands an NGO involved in supporting the peace-building work of women's groups and women leaders in the Middle East and North Africa was recently refused a bank account by a large international bank. After the NGO explained to the bank that its work entails working with partners in the region, the bank decided not to provide a bank account in order to avoid any risk of funds (indirectly) ending up in Syria. And there are many examples like this, hampering the work of NGOs and humanitarian organizations, particularly in areas of conflict where they are most needed. In recent months, stories like this have become too numerous—and too widespread geographically—to be ignored; this is a global phenomenon.

This trend of account closures has become known as “de-risking”—a term that confuses more than it clarifies. Risk management, when properly carried out, is an essential and healthy component of running a bank. Under international financial industry norms, banks are expected to use a risk-based approach to evaluate whether to do business with a potential customer, and to monitor transactions for signs of suspicious activity. If there is a reasonable basis to believe a particular client creates significant risks regarding money laundering (ML) or terrorist financing (TF), a bank is fully justified in ultimately refusing to offer services.

 “De-risking,” however, is very different. The influential Financial Action Task Force (FATF), the standard setter for combating money laundering and terrorist financing, noted in an October 2014 statement that “de-risking refers to the phenomenon of financial institutions terminating or restricting business relationships with clients or categories of clients to avoid, rather than manage, risk.” The result, criticized by FATF, is the “wholesale cutting loose of entire classes of customers.”

Our concern lies not with the principle that some clients may be too risky for banks. Rather, the problem is the magnitude of de-risking. Current de-risking measures are excluding many clients that conduct legitimate transactions. And, because de-risking ends up pushing clients and transactions towards the informal and shadow financial system, it can actually increase global risks in this area.

It is therefore urgent for the international community to act. We need to better grasp what is really happening, and why. We believe that the solutions going forward will have to build on three pillars:

1. Public authorities need to provide more meaningful information on ML/TF risks to the financial industry, clarify their regulatory expectations, and adopt a genuinely risk-based approach in their supervisory and enforcement actions.
2. Financial institutions need to step up their understanding of the risks of their customer base, and direct internal control efforts accordingly. Risk management approaches should focus more on individual clients, and not write off entire sectors.
3. Countries with significant inflows of remittances need to improve the effectiveness of their regulatory regimes to combat ML/TF, and to provide more comfort to global financial institutions with banking relationships with clients in the developing world.

Millions of people in developing countries depend on remittances to help pay for basic necessities like food and shelter. In recent years we have seen important progress with banks and mobile network operators introducing innovative ways to serve the poor—including “mobile money” solutions that have enormous potential for enabling cross-border transactions. It would be a shame to see that trend reversed. Let’s not have those at the bottom of the economic pyramid pay for the criminal behavior of a few, and let’s make sure that enforcement action really targets the “bad guys.” Preserving access to the global financial system for the poorest and most vulnerable is a critical imperative, both economically and ethically.

We tend to think of having a formal identity as an enabler for social and economic inclusion, but in fact identity can have entirely the opposite effect. Once socioeconomic interactions are based on a standardized notion of identity, it is likely that social status based on past achievements, family histories, personal connections, political backing, wealth and education levels will influence socioeconomic outcomes — thereby potentially reinforcing the established class hierarchy. Systems that are based on anonymity might in fact be the most equitable and inclusive, in the sense of ensuring equal participation by all, by systematically stripping out social status.

But anonymous systems carry a high cost in terms of efficiency. Reputations would be impossible to establish, contracts would be hard to enforce, and there would be more insecurity as it would be much harder to track and clamp down on illicit activities. It is therefore not at all certain that the poorer segments of the population would be better off in absolute terms if the economy worked on the basis of anonymity.

The need for digital identities for inclusive access

In fact, giving lower-income people digital identities would make it possible for them to participate in the modern digital economy in many ways: to open accounts and receive moneys from anyone, assert their rights over digital services they have contracted and digital assets they have purchased, settle disputes, etc. But establishing a formally recognized identity can be a major hurdle in itself, especially in countries that do not have digitized national ID schemes.

It is ironic that the difficulty of establishing formal identity in the first place often prevents so many lower-income, and especially rural, people from accessing digital services. Identity systems with selective coverage of the population create a double whammy of inequality: on the one hand, these partial systems help the haves to carry their social and economic status symbols and reputations into every market interaction they are engaged in, and on the other they negate digital visibility and access to digital services for the have not´s.

We argue in a new research paper that it should be the government´s responsibility to ensure that every citizen in fact has a digital identity, not merely to create a platform that enables people to have digital identities. The Indian government´s Aadhar push to provide everyone in India with a unique number ID linked to biometrics is a good example of such a policy.

The demands of identity verification systems

The problem is that different policy agendas converge on the issue of identity and have different requirements for a digital identity platform. What works as an identify standard for financial systems may not be good enough for law enforcement agencies. The risk is that governments adopt the highest standard, with the result that the inclusion agenda and the needs of the poor are ignored.

If there is no centralized government system for identity, then what we need is a system that:

1. Lets the issue of identity be resolved in the first instance within the communities where poor people live, shop and work (e.g. through attestation by known local figures)
2. Draws people into seeking and improving their digital identities over time, much in the way that they develop their social network over time.

This is the notion of social identity. Let people with meager resources help each other overcome their limitations: each may have very little voice, but collectively they represent a potentially vast information system for official identification purposes. That is hard to reconcile with the way governments and formal institutions tend to handle identity verification: in silos, contained within databases and cards. We need more flexible notions of identity, which build layers of identity information and verification through social networks – as well as bureaucratized ID-seeking processes.

“A society of equals is a society in which disadvantages do not cluster,” say Jonathan Wolff and Avner de-Shalit in their book Disadvantage. Low income matters greatly in itself, of course. But it also matters because it brings other difficulties along with it, like poor health and/or a lack of health insurance. An important goal of policy is to “de-cluster” these disadvantages.  

In recent years, the State of Colorado, embracing and going beyond the Affordable Care Act, has increased health insurance coverage, especially among low-income residents. Between 2009 and 2015, the proportion of Coloradans with annual family incomes below $30,000 who were uninsured fell from one in four to one in ten.

Clearly this is good news. But the expansion of insurance has so far had a modest impact on healthcare utilization, at least according to the Colorado Health Access Survey. The Survey includes questions such as, “Have you visited a health care professional or health care facility in the past 12 months?,” and “Was there any time that you did not get doctor care that you needed because of cost?” On these and similar questions, there was relatively little change between 2009 and 2015.

Why didn’t improved health insurance coverage lead to increased use of health care resources? It may be that the survey questions simply aren’t capturing improvements in utilization rates. A more detailed study of the ACA expansion in Oregon did find an increase in utilization, along with improvements on a number of financial hardship indicators. The Colorado survey does seem to suggest financial improvement: the share of low-income white residents that reported trouble paying medical bills fell by just over 3 percentage points from 2009 to 2015; for minority residents the figure was just over 6 percentage points. It’s hard to know, however, how much of this trend is driven by the stronger economy, and how much is driven by the ACA expansion. It is also possible that people are now able to access more appropriate care, for instance using primary care, rather than resorting to the emergency room.

Utilization rates have clearly increased in one area, however: dental health. Medicaid covers dental care for children, so Colorado’s Medicaid expansion increased the number of children in the state with government-sponsored dental insurance. In 2014, Colorado also became one of the few states to introduce limited adult dental coverage. As a result of these policy reforms, the share of low-income Coloradans with insurance for dental care has increased sharply:

Over the same time period, the proportion of low-income Coloradans who visited a dentist—especially minorities—increased, too:

Dentistry is an important part of the health care system, and dental disease is a serious health issue. Four in ten poor Americans suffer from untreated tooth decay, according to some researchers. Better dental care helps low-income people in a range of ways, from avoiding emergency rooms, to having healthier pregnancies, and even succeeding in the job market. The dramatic improvements in dental coverage and dental care in Colorado show that the connection between policy reforms and improved quality of life can sometimes be quite straightforward. 

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

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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.

The challenge of rural poverty and food insecurity in the developing world remains daunting. Recent estimates show that “there are still about 1.2 billion extremely poor people in the world. In addition, about 870 million people are undernourished, and about 2 billion people suffer from micronutrient deficiency. About 70 percent of the world’s poor live in rural areas, and many have some dependency on agriculture,” (Cleaver 2012). Addressing this challenge by assisting rural small-holder farmers in developing countries is the mandate of the International Fund for Agricultural Development (IFAD), an international financial institution based in Rome.

The International Fund for Agricultural Development is a relatively small donor in the global aid architecture, accounting for approximately one-half of 1 percent of all aid paid directly to developing countries in 2010. Although more significant in its core area of agricultural and rural development, IFAD still accounts for less than 5 percent of total official development assistance in that sector.1 Confronted with the gap between its small size and the large scale of the problem it has been mandated to address, IFAD seeks ways to increase its impact for every dollar it invests in agriculture and rural development on behalf of its member states. One indicator of this intention to scale up is that it has set a goal to reach 90 million rural poor between 2012 and 2015 and lift 80 million out of poverty during that time. These numbers are roughly three times the number of poor IFAD has reached previously during a similar time span. More generally, IFAD has declared that scaling up is “mission critical,” and this scaling-up objective is now firmly embedded in its corporate strategy and planning statements. Also, increasingly, IFAD’s operational practices are geared towards helping its clients achieve scaling up on the ground with the support of its loans and grants.

This was not always the case. For many years, IFAD stressed innovation as the key to success, giving little attention to systematically replicating and building on successful innovations. In this regard, IFAD was not alone. In fact, few aid agencies have systematically pursued the scaling up of successful projects. However, in 2009, IFAD management decided to explore how it could increase its focus on scaling up. It gave a grant to the Brookings Institution to review IFAD’s experience with scaling up and to assess its operational strategies, policies and processes with a view to strengthening its approach to scaling up. Based on an extensive review of IFAD documentation, two country case studies and intensive interactions with IFAD staff and managers, the Brookings team prepared a report that it submitted to IFAD management in June 2010 and published as a Brookings Global Working Paper in early 2011 (Linn et al. 2011).

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