The BBC is doing something I think is awesome but many of my American friends think is awful: gathering information of the social class background of their recruits. The move is part of an aggressive strategy to promote more diversity both on the airwaves and behind the scenes at the public service broadcaster. The civil service has been moving in the same direction.

Some questions arise:

Race and gender are relatively straightforward characteristics, notwithstanding the recent nonsense over restrooms for transgender people. Defining social class is a much more complex business. Many variables could be included, including occupational status, income or wealth, as well as education or cultural capital.

But the goal here is simply to find a measure that is good enough for the purposes at hand. The BBC asks whether either of your parents has a college degree. This is not a bad approach. Education is an important dimension of social class in itself, and strongly related to others. The BBC is also going to ask whether at any point in childhood the person in question was eligible for free school meals. (The questions are voluntary.)

Such proxy measures are narrow measures of class. But they are better than the current ones, since there are none.

Diversity can benefit organizations by widening the range of viewpoints and perspectives. A mixed team is a better team. Class background may be as important here as other factors.

Take two people of a different race or gender, each raised by wealthy East Coast parents, attending a top-drawer private high school, and graduating from an Ivy League college. They may not be as different from each other as they are from a white man raised by a poor single mother in a small Appalachian town.

The BBC is historically an upper middle class institution: “BBC English” meant a posh accent. The British professions in general have in fact tended to draw from a narrow talent pool. Around 7 percent of students attend private high schools (or “public schools”, in British). But they are strongly over-represented in the top professions, including journalism:

From a broader societal perspective, the persistence of class inequality is of course bad news for upward social mobility.

Simply raising awareness of a potential class bias in hiring and promotions could be valuable. Reforming institutional practices—for example the allocation of internship opportunities—may also help. Broadening the search for talent beyond the marquee brands of higher education is likely to diversify the class background of recruits; the BBC is also moving to both name-blind and institution-blind applications. At the same time, greater support for less traditional hires may help them to succeed.

The U.S. sees itself as a classless society, one reason Americans recoil against monitoring social class. It is an understandable instinct. But the perpetuation of class status is now at least as big a problem in the U.S. as in the UK. Even as white privilege and male privilege have diminished, class privilege has survived. A little more class-consciousness might not hurt.

Britain’s Conservative Party just tore itself apart over the EU referendum; David Cameron was forced to resign as prime minister. Yet the party in meltdown is Labour. Polling out this past weekend shows Labour drawing 31%, vs. 37% for Conservatives, if a general election were held tomorrow.

The Conservative Party, showing once again its extraordinary capacity for self-preservation, is closing ranks behind new Prime Minister Theresa May. Still, how can the Tories be riding so high after such a political omnishambles? One doesn’t have to look far for an answer: the hard-left Labour leader, Jeremy Corbyn.

Asked who is or would be the best prime minister, just 16% of British voters give Mr. Corbyn the thumbs-up, compared with 52% for Ms. May. Fewer than half of Labour supporters (48%) think Mr. Corbyn would be the best PM. In her first outing in the House of Commons, Ms. May easily trounced Mr. Corbyn. (Her performance was described by the left-leaning Guardian newspaper as a “brutally brilliant” debut.) No wonder most of his parliamentary colleagues have abandoned him, forcing a leadership contest.

Again, the Conservative Party has just presided over an amateurish, disastrous session of British political history. That Tories still dominate is less about their strength than their political opponents’ weakness.

So: What will happen? I’ve just been in London, and conversations with political insiders suggest that this is the most likely scenario to play out:

First, Jeremy Corbyn, having attracted many left-wingers onto party rolls, fends off challenger Owen Smith to retain the leadership of the Labour Party.

Next, the majority of Labour MPs set themselves up as a separate parliamentary group.

As the second-largest group in parliament, these MPs would become the official opposition. They could call themselves anything–say, New Labour Party. (Read this excellent summary of the constitutional implications by Meg Russell of the University College London). This means money and status. If the anti-Corbyn MPs can’t get a new leader, they’ll get a new party.

In the meantime, a few remaining anti-Corbyn MPs stay behind and try to recapture their party. The key here, for those interested in the details, is to take control of Unite, the U.K.’s largest trade union. (Unite’s leader, Len McCluskey, is a strong supporter of Mr. Corbyn and has rallied the union’s members behind him, but his term ends soon.)

If the Labour Party, reduced to a parliamentary rump, remains in Mr. Corbyn’s hands, the next general election would be the moment when the split becomes formal. The New Labour Party would try to attract Liberal Democrat and Green supporters, as well as pro-European conservatives.

Theresa May is likely to wait until the next scheduled general election, in 2020, to face voters. But if Labour were to split, she might decide to call a snap general election to take advantage of opponents’ disarray. Either way, it seems likely the Tories would win.

Center-left parties across the globe seem to be struggling to connect with the anxieties of ordinary voters, leaving them at the mercy of populist appeals. Between populist surges and volatile electorates, we are seeing destabilizing forces at work in politics. Strong political parties act as stabilizers in stormy waters. Whatever one’s individual politics, the fate of the Labour Party in Britain, and perhaps the Republican Party in the U.S., should concern us all.

Editor's note: This piece originally appeared in The Wall Street Journal. 

As a rhetorical ideal, greater opportunity is hard to beat. Just about all candidates for high elected office declare their commitments to promoting opportunity – who, after all, could be against it? But opportunity is, to borrow a term from the philosopher and political theorist Isaiah Berlin, a "protean" word, with different meanings for different people at different times.

Typically, opportunity is closely entwined with an idea of upward mobility, especially between generations. The American Dream is couched in terms of a daughter or son of bartenders or farm workers becoming a lawyer, or perhaps even a U.S. senator. But even here, there are competing definitions of upward mobility.

It might mean being better off than your parents were at a similar age. This is what researchers call "absolute mobility," and largely relies on economic growth – the proverbial rising tide that raises most boats.

Or it could mean moving to a higher rung of the ladder within society, and so ending up in a better relative position than one's parents.

Scholars label this movement "relative mobility." And while there are many ways to think about status or standard of living – education, wealth, health, occupation – the most common yardstick is household income at or near middle age (which, somewhat depressingly, tends to be defined as 40).

As a basic principle, we ought to care about both kinds of mobility as proxies for opportunity. We want children to have the chance to do absolutely and relatively well in comparison to their parents.

On the One Hand…

So how are we doing? The good news is that economic standards of living have improved over time. Most children are therefore better off than their parents. Among children born in the 1970s and 1980s, 84 percent had higher incomes (even after adjusting for inflation) than their parents did at a similar age, according to a Pew study. Absolute upward income mobility, then, has been strong, and has helped children from every income class, especially those nearer the bottom of the ladder. More than 9 in 10 of those born into families in the bottom fifth of the income distribution have been upwardly mobile in this absolute sense.

There's a catch, though. Strong absolute mobility goes hand in hand with strong economic growth. So it is quite likely that these rates of generational progress will slow, since the potential growth rate of the economy has probably diminished. This risk is heightened by an increasingly unequal division of the proceeds of growth in recent years. Today's parents are certainly worried. Surveys show that they are far less certain than earlier cohorts that their children will be better off than they are.

If the story on absolute mobility may be about to turn for the worse, the picture for relative mobility is already pretty bad. The basic message here: pick your parents carefully. If you are born to parents in the poorest fifth of the income distribution, your chance of remaining stuck in that income group is around 35 to 40 percent. If you manage to be born into a higher-income family, the chances are similarly good that you will remain there in adulthood.

It would be wrong, however, to say that class positions are fixed. There is still a fair amount of fluidity or social mobility in America – just not as much as most people seem to believe or want. Relative mobility is especially sticky in the tails at the high and low end of the distribution. Mobility is also considerably lower for blacks than for whites, with blacks much less likely to escape from the bottom rungs of the ladder. Equally ominously, they are much more likely to fall down from the middle quintile.

Relative mobility rates in the United States are lower than the rhetoric about equal opportunity might suggest and lower than people believe. But are they getting worse? Current evidence suggests not. In fact, the trend line for relative mobility has been quite flat for the past few decades, according to work by Raj Chetty of Stanford and his co-researchers. It is simply not the case that the amount of intergenerational relative mobility has declined over time.

Whether this will remain the case as the generations of children exposed to growing income inequality mature is not yet clear, though. As one of us (Sawhill) has noted, when the rungs on the ladder of opportunity grow further apart, it becomes more difficult to climb the ladder. To the same point, in his latest book, Our Kids – The American Dream in Crisis, Robert Putnam of Harvard argues that the growing gaps not just in income but also in neighborhood conditions, family structure, parenting styles and educational opportunities will almost inevitably lead to less social mobility in the future. Indeed, these multiple disadvantages or advantages are increasingly clustered, making it harder for children growing up in disadvantaged circumstances to achieve the dream of becoming middle class.

The Geography of Opportunity

Another way to assess the amount of mobility in the United States is to compare it to that found in other high-income nations. Mobility rates are highest in Scandinavia and lowest in the United States, Britain and Italy, with Australia, Western Europe and Canada lying somewhere in between, according to analyses by Jo Blanden, of the University of Surrey and Miles Corak of the University of Ottawa. Interestingly, the most recent research suggests that the United States stands out most for its lack of downward mobility from the top. Or, to paraphrase Billie Holiday, God blesses the child that's got his own.

Any differences among countries, while notable, are more than matched by differences within Pioneering work (again by Raj Chetty and his colleagues) shows that some cities have much higher rates of upward mobility than others. From a mobility perspective, it is better to grow up in San Francisco, Seattle or Boston than in Atlanta, Baltimore or Detroit. Families that move to these high-mobility communities when their children are still relatively young enhance the chances that the children will have more education and higher incomes in early adulthood. Greater mobility can be found in places with better schools, fewer single parents, greater social capital, lower income inequality and less residential segregation. However, the extent to which these factors are causes rather than simply correlates of higher or lower mobility is not yet known. Scholarly efforts to establish why it is that some children move up the ladder and others don't are still in their infancy.

Models of Mobility

What is it about their families, their communities and their own characteristics that determine why they do or do not achieve some measure of success later in life?

To help get at this vital question, the Brookings Institution has created a life-cycle model of children's trajectories, using data from the National Longitudinal Survey of Youth on about 5,000 children from birth to age 40. (The resulting Social Genome Model is now a partnership among three institutions: Brookings, the Urban Institute and Child Trends). Our model tracks children's progress through multiple life stages with a corresponding set of success measures at the end of each. For example, children are considered successful at the end of elementary school if they have mastered basic reading and math skills and have acquired the behavioral or non-cognitive competencies that have been shown to predict later success. At the end of adolescence, success is measured by whether the young person has completed high school with a GPA average of 2.5 or better and has not been convicted of a crime or had a baby as a teenager.

These metrics capture common-sense intuition about what drives success. But they are also aligned with the empirical evidence on life trajectories. Educational achievement, for example, has a strong effect on later earnings and income, and this well-known linkage is reflected in the model. We have worked hard to adjust for confounding variables but cannot be sure that all such effects are truly causal. We do know that the model does a good job of predicting or projecting later outcomes.

Three findings from the model stand out. First, it's clear that success is a cumulative process. According to our measures, a child who is ready for school at age 5 is almost twice as likely to be successful at the end of elementary school as one who is not.

This doesn't mean that a life course is set in stone this early, however.

Children who get off track at an early age frequently get back on track at a later age; it's just that their chances are not nearly as good. So this is a powerful argument for intervening early in life. But it is not an argument for giving up on older youth.

Second, the chances of clearing our last hurdle – being middle class by middle age (specifically, having an income of around $68,000 for a family of four by age 40) – vary quite significantly. A little over half of all children born in the 1980s and 1990s achieved this goal. But those who are black or born into low-income families were very much less likely than others to achieve this benchmark.

Third, the effect of a child's circumstances at birth is strong. We use a multidimensional measure here, including not just the family's income but also the mother's education, the marital status of the parents and the birth weight of the child. Together, these factors have substantial effects on a child's subsequent success. Maternal education seems especially important.

The Social Genome Model, then, is a useful tool for looking under the hood at why some children succeed and others don't. But it can also be used to assess the likely impact of a variety of interventions designed to improve upward mobility. For one illustrative simulation, we hand-picked a battery of programs shown to be effective at different life stages – a parenting program, a high-quality early-edcation program, a reading and socio-emotional learning program in elementary school, a comprehensive high school reform model – and assessed the possible impact for low-income children benefiting from each of them, or all of them.

No single program does very much to close the gap between children from lower- and higher-income families. But the combined effects of multiple programs – that is, from intervening early and often in a child's life – has a surprisingly big impact. The gap of almost 20 percentage points in the chances of low-income and high-income children reaching the middle class shrinks to six percentage points. In other words, we are able to close about two-thirds of the initial gap in the life chances of these two groups of children. The black-white gap narrows, too.

Looking at the cumulative impact on adult incomes over a working life (all appropriately discounted with time) and comparing these lifetime income benefits to the costs of the programs, we believe that such investments would pass a cost-benefit test from the perspective of society as a whole and even from the narrower prospective of the taxpayers who fund the programs.

What Now?

Understanding the processes that lie beneath the patterns of social mobility is critical. It is not enough to know how good the odds of escaping are for a child born into poverty. We want to know why. We can never eliminate the effects of family background on an individual's life chances. But the wide variation among countries and among cities in the U.S. suggests that we could do better – and that public policy may have an important role to play. Models like the Social Genome are intended to assist in that endeavor, in part by allowing policymakers to bench- test competing initiatives based on the statistical evidence.

America's presumed exceptionalism is rooted in part on a belief that class-based distinctions are less important than in Western Europe. From this perspective, it is distressing to learn that American children do not have exceptional opportunities to get ahead – and that the consequences of gaps in children's initial circumstances might embed themselves in the social fabric over time, leading to even less social mobility in the future.

But there is also some cause for optimism. Programs that compensate at least to some degree for disadvantages earlier in life really can close opportunity gaps and increase rates of social mobility. Moreover, by most any reasonable reckoning, the return on the public investment is high.

Editor's note: This piece originally appeared in the Milken Institute Review.

Event Information

Despite being a developed and prosperous country, Japan faces a host of basic challenges today and going forward—some of its own creation and others beyond the country’s control. For example, Japan lacks essential natural resources, while also facing overcrowding in cities and depopulation in rural areas. As a result, food and energy self-sufficiency is low. Also, while the dual phenomena of a low birthrate and an ageing population have long been deemed problematic, these issues are rapidly growing more serious. The problems Japan faces today are potentially the same problems the rest of the world will face in the near future. Japan, therefore, may serve as a bellwether for the global community as many nations anticipate similar challenges in the future.  

On October 26, the Center for East Asia Policy Studies at Brookings and the U.S.-Japan Research Institute co-hosted Hiroshi Komiyama, chairman of the Mitsubishi Research Institute and president emeritus of the University of Tokyo, for a discussion of his recent book, “Beyond the Limits to Growth: New Ideas for Sustainability from Japan.” In this book, Komiyama examines the issues facing Japan—and the world—presenting a number of potential viable solutions and offering insights into Japan’s experiences and the lessons it can provide for a more sustainable future.

Audio

• Overcoming the limits to growth: Sustainability lessons from Japan

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20151026_japan_sustainability_transcript
• hiroshi komiyama presentation

In her February 25 Brookings report, Dr. Dale Farran questions the scientific case for endorsing widespread policy in preschool education. Indeed, she argues that enthusiasm for public preschool and its promise is “premature.” Her argument is founded on three points—that the data on impact is mixed, that we do not have scientific direction with respect to the key quality constructs, and that our measurement of these constructs lack empirical validity. There is a grain of truth in each of these statements. Yet, a closer look reveals that when the data are focused on high quality preschools, the weight of the evidence for effectiveness is compelling. The early childhood science is at least evidence informed on the skill sets that will promote later school and life success and valid measures exist for many of the important outcomes. While there is always more to be learned, the bulk of the scientific community contends that high quality preschool programs will play a role in preparing young children for success in school and beyond.

There is no doubt that the literature looking for relationships between preschool access and school readiness outcomes in literacy, mathematics, and other domains are mixed.  Both the Head Start Impact Study and recent findings from Farran’s own Tennessee pre-k study (Lipsey et al., 2015) indicate that preschool of less than high quality produce only modest short-term gains. 

The data do not look bleak, however, when we look across preschool outcomes in the aggregate. And when high quality programs are investigated, whether in well-controlled studies of intensive models (e.g., Perry and Abecedarian) or in studies of strong public programs in Boston (Weiland & Yoshikawa, 2013), Cincinnati (Karoly & Auger, 2016), New Jersey (Barnett et al., 2013), North Carolina (Peisner-Feinberg et al., 2015), and Tulsa (Hill et al., 2015), the results are downright promising  (Yoshikawa et al., 2013; Minervino. 2014). Society reaps benefits from fostering early skill development, as children participating in high quality preschool programs had lower rates of grade retention, less need for special education, decreased antisocial behavior, and greater productivity as adults (Reynolds & Temple, 2015; Cunha & Heckman, 2006). In 2014, over 1,200 scientists who work in the area of early education signed the ECE Consensus Letter for Researchers, attesting to the mountains of data in support of the role of preschool education in improving child outcomes in social development, language, pre-literacy, and mathematics.

Though Farran’s brief reviews only data from the United States, a growing literature suggests that preschool education has long and lasting and causal effects on outcomes around the globe (Atinc & Gustafsson-Wright, 2013). For example, an impact evaluation of a preschool program in Mozambique found that the program increased on-time enrollment into primary school among beneficiaries by 22 percent relative to the children in the control group. Enrolled children also experienced a 6 percent increase in fine motor development, and an 87 percent increase in cognitive development. More importantly, this is not just a story of “everything is bleak in the developing world so the program is bound to have an impact.”

With compelling data in the United States and across the globe, one might ask why there is such a great divide between Farran’s interpretation and that of the wider academic community? One reason appears to be that Farran discounts any data that did not emerge from random assignment longitudinal studies. While correlational studies are not the gold standard, they are informative. Surely practitioners and policymakers would not dismiss data on parenting practices because children were not randomly assigned to parents. Further, in the area of preschool education, there is no difference in findings between randomized trials and other methodologies with respect to targeted cognitive, achievement-related outcomes when other study and program features are taken into account (Duncan & Magnuson, 2013; Camilli et al., 2010). 

Farran also discounts many of the randomized trials because she says they do not tell us enough about cause and effect. She writes of the famous Abecedarian and Perry Preschool studies:

The primary difficulty with this approach as a basis for designing interventions is that there is no way to identify what specifically changed about children’s abilities that enabled them to perform better in school or to link those changes to any particular set of active ingredients in the treatment. Neither Perry nor Abecedarian explicitly describes beyond the broadest level the “treatment” that brought about their positive effects.

But the children did improve, and at some level—while it would be wonderful to isolate the exact recipe for preschool success—we need not deny children the benefits of preschool while scientists probe for the precise combinations of active ingredients that yield the best results. Consider an analogy: the impact of storybook reading on children. While numerous studies document that reading storybooks with children in a joint way improves vocabulary and early literacy, we have yet to isolate the exact causal factors that matter in book reading. Perhaps it is the cuddling that occurs between child and parent; perhaps this crucial unstudied variable is the key that has not yet been turned. But no one would argue that we should stop book reading as a way to foster young children’s interest in reading. So it is with preschool. A quality preschool can heighten young children’s desire to attend school and prepare them for learning—even if all the ingredients in the magic sauce have not yet been identified.

In short, the evidence does provide models of high quality preschool that effectively prepare children for entrée into school and that change a child’s trajectory toward success. Not knowing the exact mechanisms by which preschool exerts its impact is secondary to the fact that poor children need good preschools now and we know how to provide them.

Farran raises the very important point that a narrow focus on only reading and math outcomes would be misplaced in our quest to build high quality preschool curricula. We could not agree more. She goes on to write, however, that “premature as well is the presumption that solid research exists to guide the content and structure of pre-K programs.”

Here we beg to differ. There are thousands of studies that speak to the skill sets children need to achieve success in the changing world. Reading and math are among these skills—collectively bundled under what Golinkoff and Hirsh-Pasek (2016) call “content skills.” But there is overwhelming evidence that children need to master skills that move beyond just reading and math. Content knowledge has, at its base, language and executive function skills. Language is the medium of instruction and executive function skills empower children with the ability to control their impulses and attend. Flexibility and working memory (Galinsky, 2010; Blair, 2016), also part of executive function, enable children to shift gears and remember what they have been told. But even language and executive function are not enough. Children must be prepared to participate alongside others (collaboration), to question when they are unclear (critical thinking) (Kuhn, 1999), and to have the persistence needed to stick with difficult problems—grit (Duckworth et al., 2007). These skills have been tested, are predictive of later achievement, have been shown to be malleable and to relate to academic, social, and learning outcomes in school.

Farran argues that we cannot provide high quality preschool because we lack strong measures of quality. Again, there is some truth in her assertion, but it seems to us somewhat confused. Farran mixes together policy benchmarks, measures of classroom practice, and child outcome measures. All are useful, but for different purposes. The first is meant to set a floor across many domains including health and safety. The second is designed for providing feedback on classroom practice. The last allows us to assess children’s wellbeing and progress. Well-designed continuous improvement systems for pre-K have detailed standards for learning and teaching that align with assessments of classroom practice and systems operation as well as with child assessments. Together with program standards these can provide a clear vision of high quality. They set high expectations for children’s learning and development and for pedagogy. Our ability to specify all of this exceeds our ability to measure it with reasonable investments of time and money. Nevertheless, classroom observation measures and child assessments as elements of a continuous improvement system help inform teachers and administrators about where they are and what steps they need to take next (Hall et al., 2012; Sylva et al., 2006; Williford et al., 2013). None of us would argue that this is easy, or that any single measure of classroom quality or child development is sufficient. Providing guidance for the improvement of learning and teaching is hard work and domain specific, but it is not futile.

Farran closes her report by suggesting that “[the] proposition that expanding pre-K will improve later achievement for children from low-income families is premature.” Perhaps instead it is Farran’s prognosis that is overly pessimistic. Research to date indicates that sustained access to high quality preschool does alter the trajectory of low-income children who are otherwise not exposed to early math and to age-appropriate books. In several now classic studies, the effects of a quality preschool education has far reaching consequences linked to not only reading and math, but to fewer incarcerations, teen pregnancies, and higher employment well into adulthood. As economists have shown, high quality early learning programs save money for society—a finding that has been replicated in different programs across the globe—in the United States, Canada, the U.K., and Mozambique.

Do we need to know more about what constitutes high quality and how to harness this reliably? Absolutely. But science offers evidence-based and evidence-informed advice on what has worked and what should work when brought to scale. We have an obligation to use the best science to serve our struggling children. Recent surveys indicate that a majority of the American public—Republican and Democrat—agrees that all children deserve a chance to reach their fullest potential. Let the science progress and let us use what we know at this point in time to meet the promise that all children should have a fighting chance to succeed. Better to light a candle than curse the darkness.

Volunteer, civil society and governmental delegates from 22 nations gathered in Johannesburg this month for the Southern Africa Conference on Volunteer Action for Development. The conference was co-convened by United Nations Volunteers (UNV) and Volunteer and Service Enquiry Southern Africa (VOSESA), in observance of the 10th anniversary of the United Nations International Year of Volunteers (IYV).

Naheed Haque, deputy executive coordinator for United Nations Volunteers, gave tribute to the late Nobel Laureate Wangari Mathai and her Greenbelt tree planting campaign as the “quintessential volunteer movement.” Haque called for a “new development paradigm that puts voluntarism at the center of community-centered sustainable development.” In this paradigm, human happiness and service to others would be key considerations, in addition to economic indicators and development outcomes including health and climate change.  

The international gathering developed strategies to advance three key priorities for the 15 nations in the Southern Africa Development Community (SADC): combating HIV/ AIDS; engaging the social and economic participation of youth; and promoting regional integration and peace. Research data prepared by Civicus provided information on the rise of voluntary service in Africa, as conferees assessed strategies to advance “five pillars” of effective volunteerism: engaging youth, community involvement, international volunteers, corporate leadership and higher education in service.

VOSESA executive director, Helene Perold, noted that despite centuries of migration across the region, the vision for contemporary regional cooperation between southern African countries has largely been in the minds of heads of states with “little currency at the grassroots level.” Furthermore, it has been driven by the imperative of economic integration with a specific focus on trade. Slow progress has now produced critiques within the region that the strategy for integrating southern African countries cannot succeed on the basis of economic cooperation alone. Perold indicated that collective efforts by a wide range of civic, academic, and governmental actors at the Johannesburg conference could inject the importance of social participation within and between countries as a critical component in fostering regional integration and achieving development outcomes. 

This premise of voluntary action’s unique contribution to regional integration was underscored by Emiliana Tembo, director of Gender and Social Affairs for the Common Market of Eastern and Southern Africa (COMESA). Along with measures promoting free movement of labor and capital to step up trade investment, Tembo stressed the importance of “our interconnectedness as people,” citing Bishop Desmond Tutu’s maxim toward the virtues of “Ubuntu – a person who is open and available to others.”

The 19 nation COMESA block is advancing an African free-trade zone movement from the Cape of South Africa, to Cairo Egypt. The “tripartite” regional groupings of SADC, COMESA and the East Africa Community are at the forefront of this pan-African movement expanding trade and development.

Preliminary research shared at the conference by VOSESA researcher Jacob Mwathi Mati noted the effects of cross border youth volunteer exchange programs in southern and eastern Africa. The research indicates positive outcomes including knowledge, learning and “friendship across borders,” engendered by youth exchange service programs in South Africa, Mozambique, Tanzania and Kenya that were sponsored Canada World Youth and South Africa Trust.   

On the final day of the Johannesburg conference, South Africa service initiatives were assessed in field visits by conferees including loveLife, South Africa’s largest HIV prevention campaign. loveLife utilizes youth volunteer service corps reaching up to 500,000 at risk youths in monthly leadership and peer education programs. “Youth service in South Africa is a channel for the energy of youth, (building) social capital and enabling public innovation,” Programme Director Scott Burnett stated. “Over the years our (service) participants have used their small stipends to climb the social ladder through education and micro-enterprise development.”

Nelly Corbel, senior program coordinator of the John D. Gerhart Center for Philanthropy and Civic Engagement at the American University in Cairo, noted that the Egyptian Arab Spring was “the only movement that cleaned-up after the revolution." On February 11^th, the day after the resignation of former Egyptian President Hosni Mubarak, thousands of Egyptian activists  removed debris from Tahrir Square and engaged in a host of other volunteer clean-up and painting projects. In Corbel's words: “Our entire country is like a big flag now,” from the massive display of national voluntarism in clean-up projects, emblematic of the proliferation of youth social innovation aimed at rebuilding a viable civil society.

In late October at the United Nations Economic and Social Commission for Asia and the Pacific (UN ESCAP) headquarters in Bangkok, a multi-stakeholder coalition was launched to promote the role of youth and civil society in advancing post-2015 United Nations Sustainable Development Goals (SDGs). The youth initiatives, fostering regional integration and youth service impact in the Association of Southeast Asian Nations (ASEAN) and counterpart regions of Northeast and South Asia, will be furthered through a new Asia-Pacific Peace Service Alliance. The alliance is comprised of youth leaders, foundations, civil society entities, multilateral partners and U.N. agencies. Together, their initiatives illustrate the potential of youth and multi-stakeholder coalitions to scale impacts to meet SDG development targets through youth service and social media campaigns, and partnerships with multilateral agencies, nongovernmental organizations, corporations and research institutes.

The “Asia-Pacific Forum on Youth Volunteerism to Promote Participation in Development and Peace” at UN ESCAP featured a new joint partnership of the U.S. Peace Corps and the Korea International Cooperation Agency (KOICA) as well as USAID support for the ASEAN Youth Volunteering Program. With key leadership from ASEAN youth entitles, sponsor FK Norway, Youth Corps Singapore and Peace Corps’ innovative program in Thailand, the forum also furthered President Obama’s goal of Americans serving “side by side” with other nations’ volunteers. The multi-stakeholder Asia-Pacific alliance will be powered by creative youth action and a broad array of private and public partners from Thailand, Malaysia, Myanmar, Indonesia, Singapore, the Philippines, Australia, Korea, China, Mongolia, Japan, India, Nepal, Pakistan, the U.S. and other nations.

During the event, Dr. Shamshad Akhtar, ESCAP executive secretary, pointed out that “tapping youth potential is critical to shape our shared destiny, as they are a source of new ideas, talent and inspiration. For ESCAP and the United Nations, a dynamic youth agenda is vital to ensure the success of post-2015 sustainable development.”

Dr. Surin Pitsuwan, former ASEAN secretary-general, called for a new Asia-wide multilateralism engaging youth and civil society.  In his remarks, he drew from his experience in mobilizing Asian relief and recovery efforts after Cyclone Nargis devastated the delta region of Myanmar in May 2008. Surin, honorary Alliance chairman and this year’s recipient of the Harris Wofford Global Citizenship Award, also noted the necessity of a “spiritual evolution” to a common sense of well-being to redress the “present course of possible extinction” caused by global conflicts and climate challenges. He summoned Asia-Pacific youth, representing 60 percent of the world’s young population, to “be the change you want to see” and to “commit our youth to a useful cause for humanity.”

The potential for similar upscaled service efforts in Africa, weaving regional integration and youth volunteering impact, has been assessed in Brookings research and policy recommendations being implemented in the Common Market of Eastern and Southern Africa (COMESA). Recommendations, many of which COMESA and ASEAN are undertaking, include enabling youth entrepreneurship and service contributions to livelihoods in regional economic integration schemes, and commissioning third-party support for impact evidence research.

A good example of successful voluntary service contributions from which regional economic communities like ASEAN can learn a lot is the current Omnimed pilot research intervention in Uganda. In eastern Ugandan villages, 1,200 village health workers supported by volunteer medical doctors, Uganda’s Health Ministry, Peace Corps volunteers and Global Peace Women are addressing lifesaving maternal and child health outcomes furthering UNICEF’s campaign on “integrated health” addressing malaria, diarrheal disease and indoor cooking pollution. The effort has included construction of 15 secure water sources and 1,200 clean cook stoves along with randomized controlled trials.

Last week, the young leaders from more than 40 nations produced a “Bangkok Statement” outlining their policy guidance and practical steps to guide volunteering work plans for the new Asia-Pacific alliance. Youth service initiatives undertaken in “collective impact” clusters will focus on the environment (including clean water and solar villages), health service, entrepreneurship, youth roles in disaster preparedness and positive peace. The forum was co-convened by ESCAP, UNESCO, the Global Peace Foundation and the Global Young Leaders Academy.

BPEA co-editor Justin Wolfers describes new research that found: people dropped out of the labor force before the recession started; there are better ways to forecast unemployment; homebuyer expectations helped inflate the bubble; the U.S. is not actually as politically polarized as most people think; central banks’ recent experiments with capital controls haven’t delivered results; and the U.S. is making inroads fighting poverty.

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• U.S. Not Actually as Politically Polarized as Most Think
• Poverty Has Fallen Much More than Previously Thought
• New Unemployment Model Can Outperform Forecasters
• Perceptions Matter: Homebuyer Expectations Helped Inflate Bubble
• Central Banks’ Recent Experiments with Capital Controls Haven’t Delivered Results

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Forty years after its initial publication, Equality and Efficiency: The Big Tradeoff remains an influential work from one of the most important macroeconomists over the last century, Arthur M. Okun (1928-1980). Okun’s theory on market economies reminds readers of an engaging dual theme: the market needs a place, and the market needs to be kept in its place. Articulated in a way that remains relevant even during today’s discussions on broadening gaps in income inequality, Okun emphasized that institutions in a capitalist democracy prod us to get ahead of our neighbors economically after telling us to stay in line socially.

On May 4, The Brookings Institution Press re-released Okun’s classic work with a new foreword from Former Treasury Secretary Lawrence H. Summers, in addition to “Further Thoughts on Equality and Efficiency,” a paper published by Okun in 1977. The event included opening remarks from Brookings Senior Fellow George Perry, with a keynote address from Larry Summers. Following these remarks, David Wessel moderated a panel discussion with former Chair of the Council of Economic Advisers Greg Mankiw, Economic Studies’ Melissa Kearney and Justin Wolfers, and Washington Center for Equitable Growth's Heather Boushey regarding the history and impact of Okun’s work.

Download a copy of Lawrence Summers' opening remarks.

Ted Gayer, Vice President and Director of Economic Studies and Joseph Pechman Senior Fellow, reads Lawrence Summers's opening remarks.

David Wessel (right), Director of the Hutchins Center on Fiscal and Monetary Policy, moderates a panel discussion with N. Gregory Mankiw, Melissa Kearney, and Heather Boushey.

Janet Yellen, Chair of the Board of Governors of the Federal Reserve System, listens to the discussion from the audience. To Yellen's right is former Congressional Budget Office director, Doug Elmendorf.

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• 40 years later- The relevance of Okun’s "Equality and Efficiency: The Big Tradeoff"

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Education systems in many of the world's poorest countries are now experiencing the aftershock of the global economic downturn and millions of children are still missing out on their right to a quality education. After a decade of advances, progress toward the Education for All goals may stall or be thrown into reverse. Presenting a new estimate of the global cost of reaching the goals by 2015, the report challenges governments and the international community to act urgently to adopt targeted policies and practices to prevent a generation of children from being left without a proper education.

On January 20, the Center for Universal Education at Brookings hosted the launch of UNESCO’s 2010 Education for All Global Monitoring Report (GMR) with Kevin Watkins, director of the GMR. The report introduces a new, innovative tool to identify the "education-poor" who are excluded from accessing a quality education. A panel discussion followed featuring Elizabeth King of the World Bank; Barbara Reynolds of UNICEF; and Brookings Fellow Rebecca Winthrop. Brookings Senior Fellow Jacques van der Gaag moderated the discussion.

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The Chinese government has recently made early childhood development a national priority, recognizing the social and economic dividends that quality early learning opportunities reap for its human capital in the long term. As the country with the largest population in the world, 100 million children under the age of six in China stand to benefit from increased access to high quality early childhood education.

The quality of education in a country is indicative of its overall development prospects. Over the past two decades – building on the momentum generated by the Education for All and Millennium Development Goals – there have been significant increases in the number of children enrolled in school. Now, with discussions heating up around what the next set of development goals will look like in 2015, it is critical that learning across the education spectrum – from early childhood through adolescence and beyond – is included as a global priority. Starting early helps children enter primary school prepared to learn. High-quality early childhood development opportunities can have long-term impacts on a child’s later success in school.

Last month, the Chinese Ministry of Education, in partnership with the United Nations Children’s Fund, launched its first national early childhood advocacy month to promote early learning for all children. The campaign, which includes national television public service announcements on the benefits of investing early in education, builds on a commitment made by the government in 2010 to increase funding for early childhood education over the next decade. The Chinese government pledged to build new preschool facilities, enhance and scale up teacher training, provide subsidies for rural families for access to early learning opportunities, and increase support for private early childhood education centers.

A new policy guide by the Center for Universal Education outlines recommendations that education stakeholders, including national governments, can take to ensure that all children are in school and learning. These steps include establishing equity-based learning targets for all children, systematically collecting data for tracking progress against these targets, and allocating sufficient resources to education beginning in early childhood. The policy guide, based on a report calling for a Global Compact on Learning, is available in Mandarin, as well as Spanish, Portuguese, French and, soon, Arabic.

The success of China’s productivity and growth over the last few decades is attributable in part to its commitment to building a robust education system. As international attention mounts around the post-2015 education and development agendas, the priorities of national governments must be a central organizing principle. When national governments take bold steps to prioritize early childhood development, the global community should take its cue and integrate early childhood development into the broader push toward access plus learning. There is an opportunity for the global education community to push toward reaching the Education for All and Millennium Development Goals while ensuring that the post-2015 agendas include a focus on the quality of education, learning and skills development, beginning with the youngest citizens.

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Israeli society is diverse, dynamic, vibrant, and challenged. Israel’s long-held social solidarity faces new pressure from growing internal fissures and from the ongoing conflict with the Palestinians.

In bold and candid remarks earlier this year, Israeli President Reuven Rivlin identified four “tribes” in Israeli society, representing different worldviews, and called for a new effort to find common ground among secular, national-religious and ultra-Orthodox Jewish Israelis, and Arab citizens of Israel. How might Israel’s diverse society coalesce in the coming years? How will the future of Israeli society affect its democracy, its relations with its neighbors and with the United States?

On December 10, the Center for Middle East Policy at Brookings hosted President Reuven Rivlin to discuss his vision for the future of Israeli society and the U.S.-Israeli relationship. Bruce Jones, vice president and director of Foreign Policy at Brookings, gave welcoming remarks, and Tamara Cofman Wittes, senior fellow and director of the Center for Middle East Policy at Brookings, introduced President Rivlin.

Following President Rivlin’s remarks, Natan Sachs, fellow at the Center for Middle East Policy at Brookings, engaged the president in conversation.

Join the conversation on Twitter at #IsraelsFuture.

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Once upon a time, innovation was an isolationist sport. In America’s innovative economy 20 years ago, a worker drove to a nondescript office campus along a suburban corridor, worked in isolation, and kept ideas secret.

Today, by contrast and partly a result of the Great Recession, proximity is everything. Talented people want to work and live in urban places that are walkable, bike-able, connected by transit, and hyper-caffeinated. Major companies across multiple sectors are practicing “open innovation” and want to be close to other firms, research labs, and universities. Entrepreneurs want to start their companies in collaborative spaces, where they can share ideas and have efficient access to everything from legal advice to sophisticated lab equipment.

These disruptive forces are coming to ground in small, primarily urban enclaves—what we and others are calling “innovation districts.” By our definition, innovation districts cluster and connect leading-edge institutions with startups and spin-off companies, business incubators, and accelerators in the relentless pursuit of cutting-edge discoveries for the market. Compact, transit-accessible, and highly networked, they grow talent, foster open collaboration, and offer mixed-used housing, office, retail, and 21st century urban amenities. In many respects, the rise of innovation districts embodies the very essence of cities: an aggregation of talented, driven people assembled in close quarters, who exchange ideas and knowledge. It’s in the vein of what urban historian Sir Peter Hall calls “a dynamic process of innovation, imitation and improvement.”

Globally, Montreal, Seoul, Singapore, Medellin, Barcelona, Cambridge, and Berlin offer just a few examples of evolving innovation districts. In the US, the most iconic innovation districts can be found in the downtowns and midtowns of cities like Atlanta, Cambridge, Philadelphia, Pittsburgh, San Diego, and St. Louis, where advanced research universities, medical complexes, research institutions, and clusters of tech and creative firms are sparking business expansion, as well as residential and commercial growth. Even a cursory visit to Kendall Square in Cambridge, University City in Philadelphia, or midtown Atlanta shows the explosion of growth and mixed development occurring around institutions like MIT, the University of Pennsylvania, and Georgia Tech.

Other innovation districts can be found in Boston, Brooklyn, San Francisco, and Seattle, where former industrial and warehouse areas are charting a new innovative path, powered by their enviable location along transit lines, their proximity to downtowns and waterfronts, and their recent addition of advanced research institutions (reflected by Carnegie Mellon University’s decision to place its Integrative Media Program at the Brooklyn Navy Yard).

Perhaps the greatest validation of this shift is found in the efforts of traditional exurban science parks (like Research Triangle Park in Raleigh-Durham) to urbanize, in order to keep pace with the preferences of their workers for walkable communities and the preference of their firms to be near other firms and collaborative opportunities.

Innovation districts are already attracting an eclectic mix of firms in a diverse group of sectors, including life sciences, clean energy, design, and tech. We even see a return of small-scale and customized manufacturing, made possible by 3D printing, robotics, and other advanced techniques.

Unlike efforts to grow the “consumer city” via sports stadia, luxury housing, and high-end retail, innovation districts are intent on growing the firms, networks, and sectors that drive real, broad-based prosperity.

At a time of increasing concerns over inequality and resilience, innovation districts can spur productive, inclusive, and sustainable growth. If properly structured and scaled, they can provide a strong foundation for the commercialization of ideas, the expansion of firms, and the creation of jobs. They also offer the tantalizing prospect of expanding employment and educational opportunities for disadvantaged populations—many innovation districts are close to low- and moderate-income neighborhoods—as well as sparking more sustainable development patterns, given their embrace of transit, historic buildings, traditional street grids, and existing infrastructure.

Innovation districts represent one of the most positive trends that have emerged in the aftermath of the Great Recession. Smart cities, innovative companies, advanced universities, and financial institutions would be wise to embrace them.

This piece originally appeared on Quartz.

ABSTRACT

Recent literature has expressed considerable pessimism about the prospects for both productivity and overall economic growth in the U.S. economy, based either on the idea that the pace of innovation has slowed or on concern that innovation today is hurting job creation. While recognizing the problems facing the economy, this paper offers a more optimistic view of both innovation and future growth, a potential return to the innovation and employment-led growth of the 1990s. Technological opportunities remain strong in advanced manufacturing and the energy revolution will spur new investment, not only in energy extraction, but also in the transportation sector and in energy-intensive manufacturing. Education, health care, infrastructure (construction) and government are large sectors of the economy that have lagged behind in productivity growth historically. This is not because of a lack of opportunities for innovation and change but because of a lack of incentives for change and institutional rigidity.

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Editor’s note: The following remarks were prepared and delivered by Gary Burtless at a roundtable sponsored by the American Tax Policy Institute on January 7, 2016. Video of Burtless’ remarks are also available on the Institute’s website. Download the related slides at the right. 

To eliminate suspense from the start: Nothing I am about to say undermines the popular narrative about recent inequality trends.  For the past 35 years, U.S. inequality has increased.  Inequality has increased noticeably, no matter what income definition you care to use.  A couple of things you read in the newspaper are untrue under some income definitions. For example, under a comprehensive income definition it is false to claim that all the income gains of the past 2 or 3 decades have gone to the top 1 percent, or the top 5 percent, or the top 10 percent of income recipients.  Middle- and low-income Americans have managed to achieve income gains, too, as we shall see.

Tax policy certainly affects overall inequality, but I shall leave it for Scott, David, and Tracy to take that up. Let me turn to my main job, which is to distinguish between different reasonable income measures.

The crucial thing to know is that contradictory statements can be made about some income trends because of differences in the definition of income.  In general, the most pessimistic statements about trends rely on an income definition that is restrictive in some way.  The definition may exclude important income items, items, for example, that tend to equalize or boost family incomes.  The definition may leave out adjustments to income … adjustments that tend to boost the rate of income gain for low- or middle-income recipients, but not for top-income recipients.

The narrowest income definition commonly used to evaluate income trends is Definition #1 in my slide, “pretax private, cash income.”  Columnists and news reporters are unknowingly using this income definition when they make pronouncements about the income share of the “top 1 percent.”  The data about income under this definition are almost always based on IRS income tax returns, supplemented with a bit of information from the Commerce Department’s National Income and Product Account (NIPA) data file.

The single most common income definition used to assess income trends and inequality is the Census Bureau’s “money income” definition, Definition #2 on the slide.  It is just the same as the first definition I mentioned, except this income concept also includes government cash transfer payments – Social Security, unemployment insurance, cash public assistance, Veterans’ benefits, etc.

A slightly more expansive definition (#3) also adds food stamp (or SNAP) benefits plus other government benefits that are straightforward to evaluate. Items of this kind include the implicit rent subsidy low-income families receive in publicly-subsidized housing, school lunch subsides, and means-tested home heating subsidies.

Now we come to subtractions from income. These typically reflect families’ tax obligations.  The Census Bureau makes estimates of state and federal income tax liabilities as well as payroll taxes owed by workers (though not by their employers).  Since income and payroll taxes subtract from the income available to pay for other stuff families want to buy, it seems logical to also subtract them from countable income. This is done under income Definition #4.  Some tax obligations – notably the Earned Income Credit (EIC) – are in fact subtractions from taxes owed, which would not be a problem in the case of families that still owe positive taxes to the government.  However, the EIC is refundable to taxpayers, meaning that some families have negative tax liabilities:  The government owes them money.  In this case, if you do not take taxes into account you understate low-income families’ incomes, even as you’re overstating the net incomes available to middle- and high-income families.

Now let’s get a bit more complicated.  Forget what I said about taxes, because our next income definition (#5) also ignores them.  It is an even-more-comprehensive definition of gross or pretax income.  In addition to all those cash and near-cash items I mentioned in Definition #3, Definition #5 includes imputed income items, such as: 

• The value of your employer’s premium contribution to your employee health plan;
• The value of the government’s subsidy to your public health plan – Medicare, Medicaid, state CHIP plans, etc.
• Realized taxable gains from the sale of assets; and
• Corporate income that is earned by companies in which you own a share even though it is not income that is paid directly to you.

This is the most comprehensive income definition of which I am aware that refers to gross or pre-tax income.

Finally we have Definition #6, which subtracts your direct and indirect tax payments.  The only agency that uses this income definition is principally interested in the Federal budget, so the subtractions are limited to Federal income and payroll taxes, Federal corporate income taxes, and excise taxes.

Before we go into why you should care about any of these definitions, let me mention a somewhat less important issue, namely, how we define the income-sharing group over which we estimate inequality.  The most common assessment unit for income included under Definition #1 (“Pre-tax private cash income”) is the Federal income tax filing unit.  Sometimes this unit has one person; sometimes 2 (a married couple); and sometimes more than 2, including dependents.

The Census Bureau (and, consequently, most users of Census-published statistics) mainly uses “households” as reference units, without any adjustment for variations in the size of different households.  The Bureau’s median income estimate, for example, is estimated using the annual “money income” of households, some of which contain 1 person, some contain 2, some contain 3, and so on.

Many economists and sociologists find this unsatisfactory because they think a $20,000 annual income goes a lot farther if it is supporting just one person rather than 12.  Therefore, a number of organizations—notably, the Luxembourg Income Study (LIS), the Organisation of Economic Cooperation and Development (OECD), and the Congressional Budget Office (CBO)—assume household income is equally shared within each household, but that household “needs” increase with the square root of the number of people in the household.  That is, a household containing 9 members is assumed to require 1½ times as much income to enjoy the same standard of living as a family containing 4 members.  After an adjustment is made to account for the impact of household size, these organizations then calculate inequality among persons rather than among households.

How are these alternative income definitions estimated?  Who uses them?  What do the estimates show?  I’ll only consider a two or three basic cases.

First, pretax, private, cash income. By far the most famous users of this definition are Professors Thomas Piketty and Emmanuel Saez.  Their most celebrated product is an annual estimate of the share of total U.S. income (under this restricted definition) that is received by the top 1 percent of tax filing units.

Here is their most famous chart, showing the income share of the top 1 percent going back to 1913. (I use the Piketty-Saez estimates that exclude realized capital gains in the calculation of taxpayers’ incomes.) The notable feature of the chart is the huge rise in the top income share between 1970—when it was 8 percent of all pretax private cash income—and last year—when the comparable share was 18 percent.  

I have circled one part of the line—between 1986 and 1988—to show you how sensitive their income definition is to changes in the income tax code.  In 1986 Congress passed the Tax Reform Act of 1986 (TRA86). By 1988 the reform was fully implemented.  Wealthy taxpayers noticed that TRA86 sharply reduced the payoff to holding corporate earnings inside a separately taxed corporate entity. Rich business owners or shareholders could increase their after-tax income by arranging things so their business income was taxed only once, at the individual level.  The result was that a lot of income, once earned by and held within corporations, was now passed through to the tax returns of rich individual taxpayers. These taxpayers appeared to enjoy a sudden surge in their taxable incomes between 1986 and 1988.  No one seriously believes rich people failed to get the benefits of this income before 1987.  Before 1987 the same income simply showed up on corporate rather than on individual income tax returns.

A final point:  The chart displayed in SLIDE #6 is the source of the widely believed claim that U.S. inequality is nowadays about the same as it was at the end of the Roaring 1920s, before the Great Depression.  That is close to being true – under this income definition.

Census “money income”: This income definition is very similar to the one just discussed, except that it includes cash government transfer payments.  The producer of the series is the Census Bureau, and its most famous uses are to measure trends in real median household income and the official U.S. poverty rate. Furthermore, the Census Bureau uses the income definition to compile estimates of the Gini coefficient of household income inequality and the income shares received by each one-fifth of households, ranked from lowest to highest income, and received by the top 5 percent of households.

Here is a famous graph based on the Bureau’s “median household income” series.  I have normalized the historical series using the 1999 real median income level (1999 and 2000 were the peak income years according to Census data).  Since 1999 and 2000, median income has fallen about 10 percent.  If we accept this estimate without qualification, it certainly represents bad news for living standards of the nation’s middle class. The conclusion is contradicted by other government income statistics that use a broader, more inclusive income definition, however.

And here is the Bureau’s most widely cited distributional statistic (after its “official poverty rate” estimate).  Since 1979, the Gini coefficient has increased 17 percent under this income definition. (It is worth noting, however, that the portion of the increase that occurred between 1992 and 1993 is mainly the result of methodological changes in the way the Census Bureau ascertained incomes in its 1994 income survey.)

When you hear U.S. inequality compared with that in other rich countries, the numbers are most likely based on calculations of the LIS or OECD.  Their income definition is basically “Cash and Near-cash Public and Private income minus Income and Payroll taxes owed by households.”  Under this income definition, the U.S. looks relatively very unequal and America appears to have an exceptionally high poverty rate.  U.S. inequality has been rising under this income definition, as indeed has also been the case in most other rich countries. The increase in the United States has been above average, however, helping us to retain our leadership position, both in income inequality and in relative poverty.

We turn last to the most expansive income definition:  CBO’s measure of net after-tax income.  I will use CBO’s tabulations using this income definition to shed light on some of the inequality and living standard trends implied by the narrower income definitions discussed above.

Let’s consider some potential limitations of a couple of those definitions.  The limitations do not necessarily make them flawed or uninteresting.  They do mean the narrower income measures cannot tell us some of the things that users claim they tell us.

An obvious shortcoming of the “cash pretax private income” definition is that it excludes virtually everything the government does to equalize Americans’ incomes.  Believe it or not, the Federal tax system is mildly progressive.  It claims a bigger percentage of the (declared) incomes of the rich than it does of middle-income families’ and especially the poor.  Any pretax income measure will miss that redistribution.

More seriously, it excludes all government transfer payments.  You may think the rich get a bigger percentage of their income from government handouts compared with middle class and poorer households.  That is simply wrong.  The rich get a lot less.  And the percentage of total personal income that Americans derive from government transfer payments has gone way up over the years.  In the Roaring 1920s, Americans received almost nothing in the form of government transfers. Less than 1 percent of Americans’ incomes were received as transfer payments.  By 1970—near the low point of inequality according to the Piketty-Saez measure—8.3 percent of Americans’ personal income was derived from government transfers.  Last year, the share was 17 percent. None of the increase in government transfers is reflected in Piketty and Saez’s estimates of the trend in inequality.  Inequality is nowadays lower than it was in the late 1920s, mainly because the government does more redistribution through taxes and transfers.

Both the Piketty-Saez and the Census “money income” statistics are affected by the exclusion of government- and employer-provided health benefits from the income definition. This slide contains numbers, starting in 1960, that show the share of total U.S. personal consumption consisting of personal health care consumption.  I have divided the total into two parts. The first is the share that is paid for out of our own cash incomes (the blue part at the bottom).  This includes our out-of-pocket spending for doctors’ charges, hospital fees, pharmaceutical purchases, and other provider charges as well as our out-of-pocket spending on health insurance premiums. The second is the share of our personal health consumption that is paid out of government subsidies to Medicare, Medicaid, CHIP, etc., or out of employer subsidies to employee health plans (the red part). 

As everyone knows, the share of total consumption that consists of health consumption has gone way up.  What few people recognize is that the share that is directly paid by consumers—through payments to doctors, hospitals, and household health insurance premium payments—has remained unchanged.  All of the increase in the health consumption share since 1960 has been financed through government and employer subsidies to health insurance plans. None of those government or employer contributions is counted as “income” under the Piketty-Saez and Census “money income” definitions.  You would have to be quite a cynic to claim the subsidies have brought households no living standard improvements since 1960, yet that is how they are counted under the Piketty-Saez and Census “money income” definitions.

Final slide: How much has inequality gone up under income definitions that count all income sources and subtract the Federal income, payroll, corporation, and excise taxes we pay?  CBO gives us the numbers, though unfortunately its numbers end in 2011.

Here are CBO’s estimates of real income gains between 1979 and 2011.  These numbers show that real net incomes increased in every income category, from the very bottom to the very top.  They also show that real incomes per person have increased much faster at the top—over on the right—than in the middle or at the bottom—over on the left.  Still, contrary to a common complaint that all the income gains in recent years have been received by folks at the top, the CBO numbers suggest net income gains have been nontrivial among the poor and middle class as well as among top income recipients.

Suppose we look at trends in the more recent past, say, between 2000 and 2011.  That lower panel in this slide presents a very different picture from the one implied by the Census Bureau’s “money income” statistics.  Unlike the “money income numbers” [SLIDE #9], these show that inequality has declined since 2000.  Unlike the “money income numbers” [SLIDE #8], these show that incomes of middle-income families have improved since 2000.  There are a variety of explanations for the marked contrast between the Census Bureau and CBO numbers.  But a big one is the differing income definitions the two conclusions are based on.  The more inclusive measure of income shows faster real income gains among middle-income and poorer households, and it suggests a somewhat different trend in inequality.

Ahead of Tuesday’s primary elections in Ohio, Florida and other states, the 2016 presidential candidates have been talking about the future of Social Security and its funding shortfalls.

Over the next two decades, the money flowing into Social Security will be too little to pay for all promised benefits. The reserve fund will be exhausted soon after 2030, and the only money available to pay for benefits will be from taxes earmarked for the program. Unless Congress and the President change the law before the reserve is depleted, monthly benefits will have to be cut about 21%.

Needless to say, office holders, who must face voters, are unlikely to allow such a cut. Before the Trust Fund is depleted, lawmakers will agree to some combination of revenue increase and future benefit reduction, eliminating the need for a sudden 21% pension cut. The question is: what combination of revenue increases and benefit cuts does each candidate favor?

The candidate offering the most straightforward but least credible answer is Donald Trump. During the GOP presidential debate last week, he pledged to do everything within his power to leave Social Security “the way it is.” He says he can do this by making the nation rich again, by eliminating budget deficits, and by ridding government programs of waste, fraud, and abuse. In other words, he proposed to do nothing specifically to improve Social Security’s finances. Should Trump’s deal-making fail to make us rich again, he offered no back-up plan for funding benefits after 2034.

The other three GOP candidates proposed to repair Social Security by cutting future pensions. No one in the debate, except U.S. Sen. Marco Rubio from Florida, mentioned a specific way to accomplish this. Rubio’s plan is to raise the age for full retirement benefits. For many years, the full retirement age was 65. In a reform passed in 1983, the retirement age was gradually raised to 66 for people nearing retirement today and to 67 for people born after 1960. Rubio proposes to raise the retirement age to 68 for people who are now in their mid-40s and to 70 for workers who are his children’s age (all currently under 18 years old).

In his campaign literature, Rubio also proposes slowing the future rate of increase in monthly pensions for high-income seniors. However, by increasing the full retirement age, Rubio’s plan will cut monthly pensions for any worker who claims benefits at 62 years old. This is the earliest age at which workers can claim a reduced pension. Also, it is by far the most common age at which low-income seniors claim benefits. Recent research suggests that low-income workers have not shared the gains in life expectancy enjoyed by middle- and especially high-income workers, so Rubio’s proposed cut could seriously harm many low-income workers.

Though he didn’t advertise it in the debate, Sen. Ted Cruz favors raising the normal retirement age and trimming the annual cost-of-living adjustment in Social Security. In the long run, the latter reform will disproportionately cut the monthly pensions of the longest-living seniors. Many people, including me, think this is a questionable plan, because the oldest retirees are also the most likely to have used up their non-Social-Security savings. Finally, Cruz favors allowing workers to fund personal-account pensions with part of their Social Security contributions. Although the details of his plan are murky, if it is designed like earlier GOP privatization plans, it will have the effect of depriving Social Security of needed future revenues, making the funding gap even bigger than it is today.

The most revolutionary part of Cruz’s plan is his proposal to eliminate the payroll tax. For many decades, this has been the main source of Social Security revenue. Presumably, Cruz plans to fund pensions out of revenue from his proposed 10% flat tax and 16% value-added tax (VAT). This would represent a revolutionary change because up to now, Social Security has been largely financed out of its own dedicated revenue stream. By eliminating the independent funding stream, Cruz will sever the perceived link between workers’ contributions and the benefits they ultimately receive. Most observers agree with Franklin Roosevelt that the strong link between contributions and benefits is a vital source of the enduring popularity of the program. Social Security is an earned benefit for retirees rather than a welfare check.

Gov. John Kasich does not propose to boost the retirement age, but he does suggest slowing the growth in future pensions by linking workers’ initial pensions to price changes instead of wage changes. He hints he will impose a means test in calculating pensions, reducing the monthly pensions payable to retirees who have high current incomes. Many students of Social Security think this a bad idea, because it can discourage workers from saving for retirement.

All of the Republican candidates, except Trump, think Social Security’s salvation lies in lower benefit payouts. Nobody mentions higher contributions as part of the solution. In contrast, both Democratic candidates propose raising payroll or other taxes on workers who have incomes above the maximum earnings now subject to Social Security contributions. This reform enjoys broad support among voters, most of whom do not expect to pay higher taxes if the income limit on contributions is lifted. Sen. Bernie Sanders would immediately spend some of the extra revenue on benefit increases for current beneficiaries, but his proposed tax hike on high-income contributors would raise enough money to postpone the year of Trust Fund depletion by about 40 years. Hillary Clinton is less specific about the tax increases and benefit improvements she favors. Like Sanders, however, she would vigorously oppose benefit cuts.

None of the candidates has given us a detailed plan to eliminate Social Security’s funding imbalance. At this stage, it’s not obvious such a plan would be helpful, since the legislative debate to overhaul Social Security won’t begin anytime soon. Sanders has provided the most details about his policy intentions, but his actual plan is unlikely to receive much Congressional support without a massive political realignment. Cruz’s proposal, which calls for eliminating the Social Security payroll tax, also seems far outside the range of the politically feasible.

What we have learned from the GOP presidential debates so far is that Republican candidates, with the exception of Trump, favor balancing Social Security through future benefit cuts, possibly targeted on higher income workers, while Democratic candidates want to protect current benefit promises and will do so with tax hikes on high-income workers. There is no overlap in the two parties’ proposals, and this accounts for Washington’s failure to close Social Security’s funding gap.

Editor’s note: This piece originally appeared in Fortune.

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.

Alert voters everywhere realize the economy is neither as strong as claimed by the party in power nor the disaster described by the opposition. The election season will bring many passionate but dubious claims about economic trends. People running for office know that voters rank the economy near the top of their concerns. Of course, perceptions of the economy differ from one voter to the next. A few of us are soaring, more are treading water, and too many are struggling just to stay afloat.

Since reaching a low point in 2009, total U.S. output—as measured by real GDP—has climbed 15 percent, or about 2.1 percent a year. The recovery has been long-lived and steady, a tribute to the stewardship of the Administration and Federal Reserve. The economic rebound has also been disappointingly slow in view of the depth of the recession. GOP office seekers will mention this fact a number of times before November.

Compared with the worst months of the Great Recession, the unemployment rate has dropped by half. It now stands at a respectable 4.9 percent, almost 3 points lower than the rate when President Obama took office and far below the rate in fall 2009 when it reached 10 percent. Payroll employment has increased for 77 consecutive months. Since hitting a low in January 2010, the number of workers on employer payrolls has surged 14.6 million, or about 190,000 a month. While the job gains are encouraging, they have not been fast enough to bring the employment-to-population ratio back to its pre-recession level. June’s job numbers showed that slightly less than 80 percent of adults between 25 and 54 were employed. That’s almost 2 percentage points below the employment-to-population rate on the eve of the Great Recession.

One of the most disappointing numbers from the recovery has been the growth rate of wages. In the first 5 years of the recovery, hourly wages edged up just 2 percent a year. After factoring in the effect of consumer price inflation, this translates into a gain of exactly 0 percent. The pace of wage gain has recently improved. Workers saw their real hourly pay climb 1.7 percent a year in the two years ending in June.

The economic bottom line for most of us is the rate of improvement in our family income after accounting for changes in consumer prices. No matter how household income is measured, income gains have been slower since 2007 than they were in earlier decades. The main reason is that incomes produced in the market—in the form of wages, self-employment income, interest, dividends, rental income, and realized capital gains—fell sharply in the Great Recession and have recovered very slowly since then. That a steep recession would cause a big drop in income is hardly a surprise. Employment, company profits, interest rates, and rents plunged in 2008 and 2009, pushing down the incomes Americans earn in the market. The bigger surprise has been the slow recovery of market income once the recession was behind us.

Some critics of the recovery argue that the income gains in the recovery have been highly skewed, with a disproportionate share obtained by Americans at the top of the income ladder. Economist Emmanuel Saez tabulates U.S. income tax statistics to track market income gains at the top of the distribution. His latest estimates show that between 2009 and 2015 income recipients in the top 1 percent enjoyed real income gains of 24 percent. Among Americans in the bottom nine-tenths of the income distribution, average market incomes climbed only 4 percent.

However, Saez’s estimates also show that top income recipients experienced much bigger income losses in the Great Recession. Between 2007 and 2009 they saw their inflation-adjusted incomes drop 36 percent (see Chart 1). In comparison, the average market income of Americans in the bottom nine-tenths of the distribution fell just 12 percent. These numbers mean that top income recipients have not yet recovered the income losses they suffered in the Great Recession. In 2015 their average market income was still 13 percent below its pre-recession level. For families in the bottom nine-tenths of the distribution, market income was “only” 8 percent below its level in 2007.

Only about half of households rely solely on market income to support themselves. The other half receives income from government transfers. What is more, this fraction tends to increase in bad times. Many retirees rely mainly on Social Security to pay their bills; they depend on Medicare or Medicaid to pay for health care. Low-income Americans often have little income from the market, and they may rely heavily on public assistance, food stamps, or government-provided health insurance. When joblessness soars the percentage of families receiving government benefits rises, largely because of increases in the number of workers who collect unemployment insurance.

Government benefits, which are not counted in Saez’s calculations, replace part of the market income losses families experience in a weak economy. As a result, the net income losses of most families are much smaller than their market income losses. The Congressional Budget Office (CBO) recently published statistics on market income and before-tax and after-tax income that shed light on the size and distribution of household income losses in the Great Recession and ensuing recovery. The tabulations show that, except for households at the top of the distribution, net income losses were far smaller than the losses indicated in Saez’s income tax data.

For example, among households in the middle fifth of the before-tax income distribution, average market income fell more than 10 percent in the Great Recession (see Chart 2). If we include government transfers in the income definition, average income fell 4.4 percent. If we account for the federal taxes families pay, average net income fell just 1 percent. In contrast, among households in the top 1 percent of the distribution, average market income fell 36 percent, average income including government transfers fell 36 percent, and average income net of federal taxes fell 37 percent. Government transfers provided little if any protection to top-income households.

The CBO income statistics end in 2013, so they do not tell us how net income gains have been distributed in the last couple of years. Nonetheless, based on Saez’s income tax tabulations it is very unlikely top income recipients have recovered the net income losses they experienced in the Great Recession. All the available statistics show household income gains since 2007 have been negligible or small, and this is true across the income distribution.

It is popular to say slow income gains in the middle and at the bottom of the distribution are due to outsize income gains among families at the top. While this story is at least partly true for the three decades ending in 2007, it does not fit the facts for the years since 2007. CBO’s latest net income tabulations show that inequality was almost 5 percent lower in 2013 than it was in 2007. The Great Recession hurt the incomes of Americans up and down the income distribution, but the biggest proportional income losses were at the very top. To be sure, income gains in the recovery after 2009 have been concentrated among top income recipients. Even so, their income losses over the recession and recovery have been proportionately bigger than the losses suffered by middle- and low-income families.

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

Event Information

The financial sector has undergone major changes in response to the Great Recession and post-crisis regulatory reform, as a result of the Dodd-Frank Act and Basel III. These changes have created serious questions about the sector’s role in supporting economic growth and how it affects financial and overall economic stability.

On June 8, the Initiative on Business and Public Policy at Brookings explored the intersection of the financial system and economic growth with the goal of informing the public policy debate. The event featured a keynote address by Richard Berner, director of the Office of Financial Research and other participants with a wide range of views from a variety of backgrounds. Among other issues, the experts considered the changing landscape of the financial sector; growth-promoting allocation and investment decisions; credit availability for low- and moderate-income households; the ideal balance between growth and stability; and the impact of the 2014 midterm elections on regulatory reform.

 Follow the conversation at @BrookingsEcon or #Finance.

Video

• Keynote remarks by Richard Berner
• The financial sector: How has it changed?
• The view from the trenches
• The future of the U.S. financial sector

Audio

• Can the financial sector promote growth and stability?

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• Aaron Kleins presentation
• 20150608 BAER slides
• 20150608 MEHTA slides
• 20150608_financial_sector_stability_transcript

Community banks play a key role in their local communities by offering traditional banking services to households and lending to nearby small businesses in the commercial, agriculture, and real estate sectors. Because of their close relationship with small businesses, they drive an important segment of economic growth. In fact, compared to all other banks (and to credit unions), small banks devote the greatest share of their assets to small business loans.

In this paper, titled "The community banks: The evolution of the financial sector, Part III," (PDF) Baily and Montalbano examine the evolution of community banks before, through, and after the financial crisis to assess their recovery.

The authors find that despite concerns about the long-term survival of community banks due a decline in the number of banks and increased Dodd-Frank regulations, they continue to recover from the financial crisis and are in fact out-performing the Big Four banks in several key measures.

Although the number of community banks has been steadily declining since before 2003, most of the decline has come from the steep drop in the smallest banking organizations—those with total consolidated assets of less than $100 million. Community banks with total consolidated assets that exceed $300 million have in fact increased in number. Most of the decline in community banks can be attributed to the lack of entry into commercial banking.

In a previous paper, Baily and Montalbano showed that the gap in loans and leases among the Big Four has widened since the financial crisis, but the new research finds that community banks seem to be returning to their pre-crisis pattern, although slowly, with the gap between deposits and loans shrinking since 2011. While total deposits grew gradually after 2011, though at a pace slower than their pre-crisis rate, loans and leases bottomed out in 2011 at $1.219 trillion.

The authors also examine community banks' return on assets (ROA), finding it was lower overall than for the Big Four or for the regionals, and has come back to a level closer to the pre-crisis level than was the case for the larger banks. The level of profitability was slightly lower for community banks in 2003 than it was for the larger banks—about 1.1 percent compared to 1.7 percent for the regional banks—but it did not dip as low, reaching a bottom of about -0.1 percent compared to -0.8 percent for the regional banks.

Baily and Montalbano also find that total assets of the community banks increased 22.5 percent (adjusted for inflation, the increase was 7 percent); the average size of community banks has increased substantially; total bank liabilities grew steadily from 2003-2014; the composition of liabilities in post-crisis years looked largely similar to the composition in the pre-crisis years; and securitization—which plays a relatively small role in the community banking model—has been steadily increasing in the time period both before and after the crisis. 

To read more, download the full paper here.

The paper is the third in a series that examines how the financial sector has evolved over the periods both before and after the financial crisis of 2007-2008. The first paper examines the Big Four banks, and the second takes a closer look at regional banks.

Downloads

• Download "The community banks: The evolution of the financial sector, Part III"

Productivity, which is the output produced by each hour of work in the non-farm business sector, grew at a paltry 1.2 percent a year in the 10 years through the third quarter of this year. In the prior decade, the growth rate was more than double, at around 3 percent a year. The question is what it means.

High-wage workers have done better than the average Joe; and profits have grown faster than wages, but productivity growth is even more important — it is the rising tide that lifts most boats. Average wages grew at more than 2 percent a year during the years of strong productivity growth and are growing at under 1 percent a year now.

The pace of the productivity increase is also vital to the nation’s finances. The last balanced federal budgets came after the fast-growth 1990s, which drove up incomes, profits and tax revenues. Today there are scary forecasts of the size of future budget deficits, and those forecasts are set to become much scarier unless productivity improves.

Slow productivity growth does not have the drama of Janet Yellen arguing with angry senators. It is a problem like termites in the attic where you don’t realize it exists until the roof collapses. And, even worse, it is a problem where there is no generally recognized explanation, nor are there obvious solutions.

One possible explanation, put forward by leading economist Robert Gordon, is that all the best innovations have been used up. He looks at the broad sweep of history, describing the age of steam, the age of electricity, and so on. The last wave, he argues, is the one fueled by the technology bubble, and it ran its course 10 years ago.

Gordon’s diagnosis is hard to swallow, however, as technology is changing all around us. A June 2015 survey of the Fortune 500 companies asked CEOs to list the biggest challenges they face, and their number-one answer by far was the challenge of rapid technological change. Any visitor to Silicon Valley or Cambridge, Massachusetts, is impressed by the pace of change.

There seems to be a major gap occurring between the cup and the lip. Technology changes apace, but the changes are apparently not translating into more efficient factories and offices.

One reason for this could be a lack of investment in business and human capital —the skills of the workforce. The Great Recession certainly put a damper on all forms of investment and the recovery has been sluggish. Regardless of what caused the slowdown, a boost to investment would help productivity.

Another possibility is that economic data are not capturing the fruits of innovations. Improved surgical procedures, new drugs and better treatment protocols allow hospitals to become more productive, but this large sector of the economy shows almost no measured productivity growth. Silicon Valley is turning out new apps to make our lives easier, but very little of this activity shows up in our productivity statistics.

Another clue to the productivity problem is that, for some reason, the dynamism of the U.S. economy seems to have faded. The number of startups is down, especially the so-called gazelles that grow fast and become much more productive.

Traditionally, a source of productivity growth has been the expansion of the most productive firms and the contraction of the less productive, and this dynamic has also slowed, perhaps due to diminished access to funding, or maybe regulation has become more burdensome.

While the cause of the problem and the nature of the solution remain uncertain, there is a lot of exciting research going on to understand productivity better and formulate policies to enhance it. If misery loves company, the United States should feel better because weak productivity is a problem for all advanced economies.

Moreover, understanding slow growth is not just a challenge for “experts.” Many of the latest best ideas are coming from the global community. Perhaps a new explanation for and solution to the productivity problem will bubble up from the new interconnected world.

Editor's Note: this piece first appeared in Inside Sources. 

Event Information

The financial crisis is now eight years behind us, but its legacy lingers on. Many Americans are concerned about their financial security and are particularly worried about whether they will have enough for retirement. Guaranteed benefit pensions are gradually disappearing, leaving households to save and invest for themselves. What role could equities play for retail investors?

Another concern about the lingering impact of the crisis is that business investment and overall economic growth remains weak compared to expectations. Large companies are able to borrow at low interest rates, yet many of them have large cash holdings. However, many small and medium sized enterprises face difficulty funding their growth, paying high risk premiums on their borrowing and, in some cases, being unable to fund investments they would like to make. Equity funding can be an important source of growth financing.

On Friday, April 15, the Initiative on Business and Public Policy at Brookings examined what role equity markets can play for individual retirement security, small business investment and whether they can help jumpstart American innovation culture by fostering the transition from startups to billion dollar companies.

You can join the conversation and tweet questions for the panelists at #EquityMarkets.

Video

• Keynote address by Richard G. Ketchum
• Panel Discussion
• Keynote address by Roger Ferguson

Audio

• Not just for the professionals? Understanding equity markets for retail and small business investors

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• Equity Markets Retirement Security 2016 Apr 15 (2)
• 20160415_equity_markets_transcript