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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

       

       

       

       

       

       

Editor’s Note: This blog post is one in a series of posts in which guest bloggers respond to the Brookings paper, “The potential and limitations of impact bonds: Lessons from the first five years of experience worldwide.”

Social impact bonds (SIBs) are one of a number of new “Payment by Results” financing mechanisms available for social services. In a SIB, private investors provide upfront capital for a social service, and government pays investors based on the outcomes of the service. If the intervention does not achieve outcomes, the government does not pay investors at all. The provision of upfront capital differentiates SIBs from other Payment by Results contracts.

Development Impact Bonds (DIBs) are a variation of SIBs, where the outcome funder is a third party, such as a foundation or development assistance agency, rather than the government. To date, 47 SIBs and one DIB have been implemented in the sectors of social welfare (21), employment (17), criminal recidivism (4), education (4), and health (2).

How do SIBs stack up?

In a recent Brookings study, drawing from interviews with stakeholders in each of the 38 SIBs contracted as of March 1, 2015, we evaluate 10 common claims of the impact bond literature to date, so far made up of published thought-pieces and interview-based reports.

Figure 1. Common claims about Social Impact Bonds

Source:  The Potential and Limitations of Impact Bonds: Lessons Learned from the First Five Years of Experience Worldwide, Brookings Institution, 2015.

Of the 10 common claims about impact bonds, we found five areas where the SIB mechanism had a demonstrable positive effect on service provision:

1. Focus on outcomes. We found a significant shift in the focus of both government and service providers when it came to contracting and providing social services. Outcomes became the primary consideration in these contracts in which the repayment of the investment depended on achievement of those outcomes. Given that outcomes are the pivotal and defining piece of a SIB contract, it is unsurprising that many of those interviewed in the course of our research emphasized their importance, though we did find that this represented a more significant transformation in culture than expected.
2. Build a culture of monitoring and evaluation. The outcome-based contract necessitates the collection of data on outcomes, which helps build a culture of monitoring and evaluation in provider organizations and government. We found that the SIB is beginning to help solve longstanding problems in systemic data collection in multiple instances. In turn, government evaluation of outcomes and obligation to pay only for successful outcomes provides transparency and value for taxpayers. However, it is too soon to tell whether the monitoring and evaluation systems will remain in place after the SIB contracts conclude.
3. Drive performance management. The involvement of the investors and intermediaries in management of the service performance is a key component of SIBs. These private sector organizations often have stronger background in performance management and bring a valuable perspective to the social service sector. However, on average we find limited evidence that the service providers in SIBs to date have been able to significantly adjust their programs mid-contract in the case of poor outcomes, despite SIB proponents claiming this is one of the mechanism’s greatest merits.
4. Foster collaboration. In addition to collaboration between the for-profit, nonprofit, and government sectors, we also find evidence of gridlock-breaking collaboration across government agencies, levels of government, and political parties due to SIB contracts. This was noted to be one of the most important aspects of SIBs but also one of the most challenging.
5. Invest in prevention. External, upfront capital for services allows government to invest in preventive programs that greatly reduce spending in the future, such as early childhood development programs that reduce remedial education, crime, and unemployment. We found that all but one of the 38 SIBs were issued for preventive programs. Going forward, SIBs will not necessarily need to be tied to cash savings for government, but could simply be used as a method to finance programs that achieve desired social outcomes. 

Where do SIBs currently fall short?

For the five remaining claims about SIBs, we found less evidence of impact.

1.  Achieve scale. Of the 38 impact bonds contracted as of March 1, 2015, 25 served less than 1,000 beneficiaries. The largest impact bond, the SIB to reduce criminal recidivism at Rikers Island Prison in New York City, aimed to reach up to 10,000 individuals, but was terminated a year early this July because it did not meet target outcomes. The smallest SIB supports 22 homeless children and their mothers in the city of Saskatoon in Canada. These numbers are nowhere near the scale of the toughest problems facing the globe, where, for example, 59 million children are out of school. However, since March of 2015, two larger SIBs have been contracted, which may be an indication of increasing confidence in the mechanism. The Ways to Wellness SIB in the U.K. aims to improve long-term health conditions of over 11,000 beneficiaries and the first DIB launched plans to improve enrollment and learning outcomes of nearly 20,000 schoolchildren in Rajasthan, India. Further, the impact bond fund model used in the U.K. for 21 SIBs—where teams of service providers, intermediaries, and investors bid for SIB contracts based on a rate card of maximum payments per outcome government is willing to make—could be used to reach greater scale by contracting multiple SIBs at once. The largest of the impact bond funds, the Innovation Fund, reaches over 16,000 beneficiaries across 10 SIBs.
2. Foster innovation in delivery, and 
3. Reduce risk for government. SIBs vary in the degree of innovation and risk to investors—SIBs based on more innovative programs pose a greater risk to investors and may have higher investment protection or greater potential returns to balance the risk. In our study we found that very few of the programs financed by SIBs were truly innovative in that they had never been tested before, but that many were innovative in that they applied interventions in new settings or in new combinations. The literature claims that SIBs reduce the risk to government of funding an innovative service (government pays nothing if outcomes aren’t achieved), but as of March of this year it did not seem that the programs were particularly risky. The SIB in Rikers Island Prison was one of the most innovative and risky, and the early termination of the deal was an important demonstration of the reduction in risk for government. The New York City Department of Correction did not pay anything in this case; instead the investor and foundation backing the investment paid for the program.
4. Crowd-in private funding. Our research also shows mixed evidence on the power of impact bonds to crowd-in private funding, the fourth claim with unclear results. The literature up until now has claimed that impact bonds crowd-in private funding for social services by increasing the amount of money from traditional funding sources and bringing in new money from nontraditional sources. There is some evidence that traditional service funders, such as foundations, are increasing their contributions because of the opportunity to earn back what would otherwise have been a donation. Many of the current investors in impact bonds, Goldman Sachs for example, are indeed new actors in the space and their increased awareness of social service provision may be a benefit in and of itself. However, if a program is successful, government ultimately pays for the program. In this case, investors are solving a liquidity problem for government by providing upfront capital and not actually providing new money. Nonetheless, there is some evidence that paying only for proven outcomes has motivated the public sector to spend more on social services and that the external upfront capital has allowed government to shift spending from curative to preventive programs. Further, most programs thus far have been designed such that savings to the public sector are greater than payments to investors, resulting in a net increase in available public sector funds.
5. Sustain impact. Finally, five years since the first impact bond, we have yet to see whether impact bonds will lead to sustained impact on the lives of beneficiaries beyond the impact bond contract duration. The existing literature states that impact bonds could lead to sustained impact by demonstrating to government that a sector or intervention type is worth funding or by improving the quality of programs by instilling a culture of outcome achievement, monitoring, and evaluation. However, the success of impact bonds depends on whether new efforts to streamline the contract development stage come to fruition and whether incentives for all parties are closely scrutinized.

The optimal financing mechanism for a social service will differ across issue area and local context, and we look forward to conducting more research in the field on the suitable characteristics for each tool.

      

Downloads

• Download the policy recommendations
• The potential and limitations of impact bonds: Lessons from the first five years of experience worldwide (PDF)

      

The confluence of the agreement on 17 Sustainable Development Goals (SDGs, or Global Goals) in 2015, and the increased attention being paid to the role of non-traditional actors in contributing to shared prosperity, provide a unique opportunity to focus attention on attempts to identify promising new solutions to the barriers that impede the full development of the world’s youngest citizens. Current estimates indicate that 200 million children globally under the age of 5 are at risk of not reaching their development potential. With these goals, the global community has a tremendous opportunity to change the course of history. There is evidence that certain early childhood development (ECD) interventions—spanning the nutrition, health, water and sanitation, education, social protection, and governance sectors from conception to age 5—have high potential to help to achieve the SDGs related to child development. Furthermore, early childhood interventions have been found to improve adult health and education levels, reduce crime, and raise employment rates, which will be paramount to achieving global economic, climate, and physical security.

Impact bonds have the potential to address some of the main financing and delivery constraints faced in ECD. By providing upfront private capital, impact bonds could help to address service provider liquidity constraints and leverage public capital by allowing the government to connect preventive programs with future benefits to individuals, society, and the economy. Impact bonds also have the potential to drive performance management, support monitoring and evaluation, and create accountability, which all help to address quality and capacity constraints. By fostering innovation, experimentation and adaptive learning in service delivery, cost-effective solutions could be identified through impact bonds. By producing evidence of outcome achievement, impact bonds could shift the focus toward effective ECD programs. Finally, collaboration across stakeholders—a necessary component of impact bonds—has the potential to allow for alignment of interests and a win-win situation for investors, outcome funders, and program beneficiaries alike.

The high participation of non-state actors and potentially significant returns in ECD make it a promising sector for impact bonds. Unlike other services that may have entrenched interests, the multitude of agencies and non-state entities financing and providing ECD services potentially allows for more experimentation. The preventive nature of ECD programs also fits well with the core feature of SIBs, which is that preventive investments will result in valuable short- and potentially long-term outcomes. There is evidence that ECD interventions can have immense effects on later-life outcomes. For example, a longitudinal study of a program in Jamaica, in which participants received weekly visits from community health workers over a 2-year period, was found to increase the earnings of participants by 25 percent, 20 years later.

There may, however, be some particular challenges associated with applying impact bonds in the ECD sector. Impact bonds (and other Payment by Results mechanisms tied to outcomes) require meaningful outcomes that are measureable within a timeframe that is reasonable to the outcome funder (and investors in the case of an impact bond). Meaningful outcomes are outcomes that are intrinsically or extrinsically valuable. Intrinsically valuable outcomes that are measureable within a reasonable timeframe could be extrinsically valuable if they are proxies for long-term benefits to individuals, society, or the economy. The delay between ECD interventions and later-life results may prove an impediment in some cases. By identifying appropriate interim measures such as language development, socioemotional development, and schooling outcomes that may proxy for desirable longer-term outcomes, the issue of delay could be mitigated. For example, there is evidence that early stimulation and health programs can have statistically significant effects on schooling outcomes in the short-run. An increase in focus on the intrinsic value of short-term outcomes that result from ECD interventions, such as child survival, is also important.

As the global community moves beyond the Millennium Development Goals to a set of Global Goals and associated targets linked to measurable outcomes, there is an opportunity to demonstrate a commitment to invest in future generations. Leveraging upfront funding, focusing on outcomes through adaptive learning and testing new ways to deliver early childhood interventions more effectively are all means of achieving the ECD-related goals. Despite the hype around all of the new financing mechanisms, the keys to creating high-quality, locally appropriate programs remains simple—real-time collection of outcome data, the freedom to fail, and the flexibility to course-adjust. In some circumstances social service provision based on outcomes and adaptive learning may require mechanisms like impact bonds or other Payment by Results mechanisms. In other circumstances it may not. As this very nascent field continues to grow, more research will be needed to capture lessons learned, contextualize them within the larger landscape of ECD financing and service provision, and apply them to real-world social challenges with the world’s youngest and most disadvantaged populations at the forefront of the conversation. 

Read the previous report on the landscape of impact bonds across sectors and geography »

Downloads

• Download the full report
• Download the policy brief

      

March 18 was an historic day for early childhood development (ECD) financing—the Departments of Social Development and Health of the Western Cape province of South Africa committed 25 million rand ($1.62 million) in outcome funding for three social impact bonds (SIBs) for maternal and early childhood outcomes. This is the first ever funding committed by a middle-income government for a SIB—to date no low-income country governments have participated in a SIB either—making South Africa’s choice to pioneer this new path especially exciting.

A SIB is a financing mechanism for social outcomes where investors provide upfront capital for services and a government agency repays investors contingent on outcome achievement. There are currently two active development impact bonds or DIBs (where a donor provides outcome funding rather than a government agency) in middle-income countries, one for coffee production in Peru and one for girls’ education in India. The South African SIBs, whose implementation was facilitated by the Bertha Centre for Social Innovation and Entrepreneurship at the University of Cape Town and Social Finance U.K. as well as other organizations, will be the first impact bonds in Africa.

We have been following closely the development of these SIBs over the last two years through our research on the potential applications of impact bonds for ECD outcomes, and recently hosted a discussion on the topic at Brookings. There are currently nine other impact bonds worldwide that include outcomes for children ages 0 to 5, including two recently announced impact bonds in the U.S. for nurse home-visiting in South Carolina and support for families struggling with substance abuse in Connecticut.

Impact bonds are well suited to fund interventions that have high potential returns to society; that require learning, adaptability, and combinations of services to achieve those returns; and that are not core government-funded services (often resulting in a relative proliferation of non-state providers). In our recent report, we find that a majority of evaluations show ECD can have unparalleled returns, but there are also a number of evaluations that show no significant impact or where impact fades out. Overall however, there are few evaluations relative to the number of service providers and interventions, an indication of how little we know about the effectiveness of the majority of service providers. For example, there are only 15 studies examining the effects of ECD interventions in low- and middle-income countries on later-life socioemotional development, which has been shown to be a critical determinant of success in school and life.

The case for government investment is strong, but continuous learning and adaptation is needed to ensure the high potential impacts are achieved. Tying payments to outcomes could help the ECD sector in three ways: it could encourage new government investment in ECD, it could encourage performance management and adaptability, and, crucially, it could help develop the knowledge base of what works in ECD. Unlike some other sectors where providers are able to finance their own operations to participate in a results-based (performance-based) contract through fees or other cash flows, ECD providers will almost always require upfront capital in order to reach the most vulnerable. Consequently, we find that, despite some significant challenges, ECD interventions are particularly well suited to impact bonds.

For this reason, there are three things we find particularly exciting about these new SIBs for early childhood development in South Africa:

1. Collaboration of two departments to ensure a continuity of outcome measurement and, hopefully, achievement. Given their different mandates, the Department of Health will fund outcomes for pregnant mothers and children in their first 1,000 days and the Department of Social Development will fund outcomes for children ages 2 to 5. The Bertha Centre writes that “the funding will be made available to three community based organizations working with pregnant women and children up to five years of age with outcomes including improved antenatal care, prevention of mother to child transmission of HIV, exclusive breastfeeding, a reduction in growth stunting, and improved cognitive, language and motor development.” 

The continuity of quality services is essential to sustaining the impacts of early childhood services, and this is the first set of impact bonds to address outcomes across the development spectrum from age 0 to 5. Selecting outcomes however, particularly for more complex learning outcomes for children ages 3 to 5, can be one of the greatest challenges for impact bonds in the ECD sector.

A full list of recommended outcome metrics for ECD impact bonds is available in our report.

2. Outcome fund structure. The SIBs in South Africa have been designed as impact bond funds, where the outcome funder issues a rate card of prices it is willing to pay for certain outcomes and multiple service providers are awarded contracts to provide those outcomes. This structure, which has been implemented in four instances in the U.K., could help facilitate impact bonds at greater scale than what we have seen thus far.

At the Brookings event on impact bonds, Louise Savell of Social Finance U.K., explained that scale was critical in the South African case because there are few providers that work across the entire province. While the discussion around pricing outcomes in the U.K. was more focused on future value to the economy, the discussion in South Africa had to be more attuned to the price of providing services. These delivery prices differ greatly by township, which may result in different outcome payment prices by township. The impact bond designers also had to ensure the outcome price allowed for providers to serve the hardest to reach.

3. Matching of private-sector outcome funds. This is the first impact bond to date where private-sector actors will augment outcome funds, in addition to serving as investors. Impact bonds take a great deal of work for a government agency to establish—though it will likely drop over time—and additional or matching of outcome funds will be critical to making this effort worthwhile for low- and middle-income country governments.

Looking forward, it will be interesting to compare and contrast the structure and design of these SIBs with the impact bonds for ECD outcomes in Cameroon, India, and potentially other countries as they launch in the coming years. Each impact bond must be designed taking into consideration the particular issues and challenges in a given context. However, sharing learnings from one impact bond to the next will likely improve both efficiency and quality of the impact bond implementation. 

       

“This is about governments using data for performance rather than compliance” was a resounding message coming out of the U.S. Department of Education’s conference on June 10 on the use of Pay for Success contracts in education. These contracts, known globally as social impact bonds, continue to be at the forefront of global conversations about results-based financing mechanisms, and have garnered significant momentum this week with passage of the Social Impact Partnerships for Pay for Results Act in the U.S. While limitations certainly exist, their potential to revolutionize the way we fund social projects is tremendous.

A social impact bond (SIB) is a set of contracts where a government agency agrees to pay for service outputs or outcomes, rather than funding defined service inputs, and an investor provides upfront risk capital to the service provider. The investor is potentially repaid principal and interest contingent on the achievement of the predetermined outputs or outcomes.

In our research on impact bonds at the Center for Universal Education, we have analyzed the use of SIBs for education in the U.S., other high-income countries, and low- and middle-income countries. Practitioners in each of these contexts are having far more similar conversations than they may realize—all are united in their emphasis on using SIBs to build data systems for performance. There is tremendous potential for lessons learned across these experiences and across the broader discussions of results-based financing mechanisms for education globally.

Current SIBs for education globally

There are currently five SIBs for education worldwide: two in the U.S. for preschool education, one in Portugal for computer science classes in primary school, and one each in Canada and Israel for higher education. In addition, a number of countries have used the SIB model to finance interventions to promote both education and employment outcomes for teens—there are 21 such SIBs in the U.K., three in the Netherlands, and one in Germany. There is also a Development Impact Bond (DIB), where a donor rather than government agency serves as the outcome funder, for girls’ education in India. The Center for Universal Education will host a webinar to present the enrollment and learning outcomes of the first year of the DIB on July 5 (register to join here).

U.S. activities to facilitate the use of SIBs for education

At the June 10 conference at the Department of Education, the secretary of education and the deputy assistant to the president for education said that they saw the greatest potential contribution of SIBs in helping to scale what works to promote education outcomes and in broadening the array of partners involved in improving the education system. Others pointed out the value of the mechanism to coordinate services based on the needs of each student, rather than a multitude of separately funded services engaging the student individually. In addition to using data to coordinate services for an individual, participants emphasized that SIBs can facilitate a shift away from using data to measure compliance, to using data to provide performance feedback loops.

The interest in data for performance rather than compliance is part of a larger shift across the U.S. education sector, represented by the replacement of the strict compliance standards in the No Child Left Behind Act of 2002 with the new federal education funding law, the Every Student Succeeds Act, signed into law in December of 2015. The law allows for federal outcome funding for SIBs in education for the first time, specifically for student support and academic enrichment programs. The recently passed Social Impact Partnerships for Pay for Results Act also allows for outcome funding for education outcomes. The Department of Education conference explored potential applications of SIBs across the education sector, including for early home visiting programs, programs to encourage completion of higher education programs, and career and technical education. The conference also analyzed the potential to use SIBs for programs that support specific disadvantaged populations, such as dual language learners in early education, children of incarcerated individuals, children involved in both the child protection and criminal justice systems, and Native American youth. Overall, there was a focus on areas where the U.S. is spending a great deal on remediation (such as early emergency room visits) and on particular levers to overcome persistent obstacles to student success (such as parent engagement).

To help move the sector forward, the Department of Education announced three new competitions for feasibility study funding for early learning broadly, dual language learners in early education, and technical education. The department is also facilitating connections between existing evaluation and data system development efforts and teams designing SIBs. The focus on early childhood development by the Department of Education is reflective of the national field as a whole: Programming in the early years is becoming a particularly fast-growing sector for SIBs in the U.S. with over 40 SIBs feasibility and design stages.

SIBs for education in low- and middle-income countries

There is only one DIB for education in low- and middle-income countries; however, there are a number of SIBs and DIBs for education in design and prelaunch phases. In particular, the Western Cape Province of South Africa has committed outcome funding for three SIBs across a range of health and development outcomes for children ages 0 to 5.

Though the number of impact bonds may be relatively small, a significant amount of work has been done in the last 15 years in results-based financing for education. The U.K. Department for International Development (DfID), the Dutch Ministry of Foreign Affairs, the Asian Development Bank, the World Bank, the Global Partnership for Output-Based Aid, and Cordaid had together funded 24 results-based financing initiatives for education as of 2015. Of particular interest, DfID is funding results-based financing projects through a Girls Education Challenge and the World Bank launched a new trust fund for results-based financing in education in 2015. As with impact bonds in the U.S., a primary aim of results-based financing for education in low- and middle-income countries is to strengthen data and performance systems. Early childhood development programs and technical and vocational and training programs have also been identified as sub-sectors of high potential. Here are a few final takeaways for those working on results-based financing for education in low- and middle-income countries from the U.S. Department of Education conference:

1. The differences between the No Child Left Behind Act and the Every Student Succeeds Act should be analyzed carefully to ensure other data-driven education performance management systems promote both accountability and flexibility.
2. In building data systems through results-based financing, ensure services can be coordinated around the individual, feedback loops are available for providers, and data on early education, child welfare, parent engagement, and criminal justice involvement are also incorporated.
3. There are potential lessons to be learned from the U.S. Department of Education’s effort to conduct more low-cost randomized control trials in education and the U.S. Census Bureau’s data integration efforts.
4. SIBs provide an opportunity to work across agencies or levels of government in education, which could be particularly fruitful in both low- and middle-income countries and the U.S.

As the global appetite for results-based financing continues to grow and new social and development impact bonds are implemented throughout the world, we’ll have an opportunity to learn the true potential of such financing models.

       

       

       

       

       

       

       

       

High unemployment, the Gulf oil spill, and mounting fiscal worries clouded our July 4th celebrations. Yet, one patriotic highlight in President Obama's first year was bipartisan support of the Serve America Act, which expanded opportunities for Americans of all ages to meet urgent domestic challenges through community and national service. In the process, Americans who otherwise would have been unemployed are engaging in productive work, at low cost to taxpayers, to meet problems like the high school dropout epidemic. Similar efforts can expand volunteer service abroad.

As President Obama made clear in his first major policy speech to the international community in Cairo, Egypt, the world must unleash its collective imagination through social innovators, entrepreneurs and citizen diplomats to contribute to global development, respond to natural disasters, and initiate interfaith action to tackle preventable diseases like malaria. The moment is now.

Fifty years after John F. Kennedy's call for a Peace Corps, we might reconsider our obligations to meet needs around the world. President Kennedy said that the Peace Corps would be serious when 100,000 Americans were serving abroad each year. Although the Peace Corps is America's flagship international service program, today less than 8,000 volunteers are spread across 77 countries. Since 1961, America has sent and returned nearly 200,000 volunteers, a number significantly less than the millions Kennedy envisioned by his Peace Corps' 50th year. Had the Peace Corps grown at the rate Kennedy envisioned, the course of our country's foreign policy, diplomatic strategy and global awareness over the past 50 years would be very different.

Last week, ServiceWorld, an international service coalition of more than 300 non-profits, colleges, corporations and faith-based institutions, released a bold plan to meet President Kennedy's goal of mobilizing 100,000 Americans every year - and one million over a decade - to serve abroad. The proposed Sargent Shriver International Service Act calls for doubling Peace Corps to 15,000 by 2015, lowering costs per volunteer, and forging partnerships with the hundreds of non-profits that have emerged since its creation. Doubling of the Peace Corps is a goal that both Presidents George W. Bush and Barack Obama have embraced.

Volunteers for Prosperity will tap 75,000 skilled Americans for flexible term assignments to work on international challenges Congress and many Presidents have made priorities, such as HIV/AIDS, malaria, and clean water. Global Service Fellows will enable Members of Congress to nominate top talent from their districts and states, as they do for the military academies today, to serve for up to one year abroad. Together with the Peace Corps, these efforts will meet John Kennedy's goal of mobilizing 100,000 Americans to serve abroad each year.

The Service World plan focuses on multi-lateral partnerships and exchanges so Americans serve side-by-side with people from other countries, including in the United States. Under the plan, both skilled and non-skilled volunteers of all classes and ages will serve abroad for both long- and short-term assignments and veterans have specific opportunities to utilize their many skills in a civilian capacity. We believe an inclusive and mobile model of volunteering will contribute to the development of a new generation of global leaders, provide skills for U.S. citizens to compete in a global economy, increase international awareness, strengthen development, and improve the image of America abroad.

Volunteer service by people of all nations should become a common strategy in meeting pressing challenges in education, health, the environment, agriculture and more. By having national policies that engage more Americans in international service at every stage of life, we will be sharing our most valuable assets - the skills, talents and perspectives of our people - to make a significant difference in communities and nations throughout the world.

      

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.

At the concluding call-to-action session, Johannesburg conferees unanimously adopted a resolution, which was nominated by participating youth leaders from southern Africa states. The declaration, “Creating an Enabling Environment for Volunteer Action in the Region” notes that “volunteering is universal, inclusive and embraces free will, solidarity, dignity and trust… [creating] a powerful basis for unity, common humanity, peace and development.”  The resolution, contains a number of action-oriented recommendations advancing voluntarism as a “powerful means for transformational change and societal development.” Policy recommendations will be advanced by South African nations and other stakeholders at the forthcoming Rio + 20 deliberations and at a special session of the United Nations General Assembly on December 5, the 10^th anniversary of the International Year of the Volunteer.

      

       

       

       

Many scholars have argued that once “basic needs” have been met, higher income is no longer associated with higher in subjective well-being. We assess the validity of this claim in comparisons of both rich and poor countries, and also of rich and poor people within a country. Analyzing multiple datasets, multiple definitions of “basic needs” and multiple questions about well-being, we find no support for this claim. The relationship between well-being and income is roughly linear-log and does not diminish as incomes rise. If there is a satiation point, we are yet to reach it.

Introduction

In 1974 Richard Easterlin famously posited that increasing average income did not raise average well-being, a claim that became known as the Easterlin Paradox. However, in recent years new and more comprehensive data has allowed for greater testing of Easterlin’s claim. Studies by us and others have pointed to a robust positive relationship between well-being and income across countries and over time (Deaton, 2008; Stevenson and Wolfers, 2008; Sacks, Stevenson, and Wolfers, 2013). Yet, some researchers have argued for a modified version of Easterlin’s hypothesis, acknowledging the existence of a link between income and well-being among those whose basic needs have not been met, but claiming that beyond a certain income threshold, further income is unrelated to well-being.

The existence of such a satiation point is claimed widely, although there has been no formal statistical evidence presented to support this view. For example Diener and Seligman (2004, p. 5) state that “there are only small increases in well-being” above some threshold. While Clark, Frijters and Shields (2008, p. 123) state more starkly that “greater economic prosperity at some point ceases to buy more happiness,” a similar claim is made by Di Tella and MacCulloch (2008, p. 17): “once basic needs have been satisfied, there is full adaptation to further economic growth.” The income level beyond which further income no longer yields greater well-being is typically said to be somewhere between $8,000 and $25,000. Layard (2003, p. 17) argues that “once a country has over $15,000 per head, its level of happiness appears to be independent of its income;” while in subsequent work he argued for a $20,000 threshold (Layard, 2005 p. 32-33). Frey and Stutzer (2002, p. 416) claim that “income provides happiness at low levels of development but once a threshold (around $10,000) is reached, the average income level in a country has little effect on average subjective well-being.”

Many of these claims, of a critical level of GDP beyond which happiness and GDP are no longer linked, come from cursorily examining plots of well-being against the level of per capita GDP. Such graphs show clearly that increasing income yields diminishing marginal gains in subjective well-being. However this relationship need not reach a point of nirvana beyond which further gains in well-being are absent. For instance Deaton (2008) and Stevenson and Wolfers (2008) find that the well-being–income relationship is roughly a linear-log relationship, such that, while each additional dollar of income yields a greater increment to measured happiness for the poor than for the rich, there is no satiation point.

In this paper we provide a sustained examination of whether there is a critical income level beyond which the well-being–income relationship is qualitatively different, a claim referred to as the modified-Easterlin hypothesis. As a statistical claim, we shall test two versions of the hypothesis. The first, a stronger version, is that beyond some level of basic needs, income is uncorrelated with subjective well-being; the second, a weaker version, is that the well-being–income link estimated among the poor differs from that found among the rich.

Claims of satiation have been made for comparisons between rich and poor people within a country, comparisons between rich and poor countries, and comparisons of average well-being in countries over time, as they grow. The time series analysis is complicated by the challenges of compiling comparable data over time and thus we focus in this short paper on the cross-sectional relationships seen within and between countries. Recent work by Sacks, Stevenson, and Wolfers (2013) provide evidence on the time series relationship that is consistent with the findings presented here.

To preview, we find no evidence of a satiation point. The income–well-being link that one finds when examining only the poor, is similar to that found when examining only the rich. We show that this finding is robust across a variety of datasets, for various measures of subjective well-being, at various thresholds, and that it holds in roughly equal measure when making cross-national comparisons between rich and poor countries as when making comparisons between rich and poor people within a country.

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Event Information

On Wednesday, June 2, the Center for Universal Education at Brookings hosted a discussion on the need to refocus the international education dialogue from school enrollment to learning achieved in developing countries. Participants, who included education experts from academia, international organizations and government, assessed the current state of systematic efforts at the global level to measure learning outcomes.

Center for Universal Education Co-Director and Senior Fellow Jacques van der Gaag opened the event by charting the landscape of learning, including education outside the primary school classroom, during early childhood development and the importance of acquiring both cognitive and non-cognitive skills for ensuring learning outcomes.

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Editors’ Note: The phenomenon Donald Trump has created has become something larger than him, and something far more dangerous, writes Bob Kagan. This phenomenon has arisen in other democratic and quasi-democratic countries over the past century, and it has generally been called “fascism.” This piece originally appeared in The Washington Post.

The Republican Party’s attempt to treat Donald Trump as a normal political candidate would be laughable were it not so perilous to the republic. If only he would mouth the party’s “conservative” principles, all would be well.

But of course the entire Trump phenomenon has nothing to do with policy or ideology. It has nothing to do with the Republican Party, either, except in its historic role as incubator of this singular threat to our democracy. Trump has transcended the party that produced him. His growing army of supporters no longer cares about the party. Because it did not immediately and fully embrace Trump, because a dwindling number of its political and intellectual leaders still resist him, the party is regarded with suspicion and even hostility by his followers. Their allegiance is to him and him alone.

And the source of allegiance? We’re supposed to believe that Trump’s support stems from economic stagnation or dislocation. Maybe some of it does. But what Trump offers his followers are not economic remedies—his proposals change daily. What he offers is an attitude, an aura of crude strength and machismo, a boasting disrespect for the niceties of the democratic culture that he claims, and his followers believe, has produced national weakness and incompetence. His incoherent and contradictory utterances have one thing in common: They provoke and play on feelings of resentment and disdain, intermingled with bits of fear, hatred and anger. His public discourse consists of attacking or ridiculing a wide range of “others”—Muslims, Hispanics, women, Chinese, Mexicans, Europeans, Arabs, immigrants, refugees—whom he depicts either as threats or as objects of derision. His program, such as it is, consists chiefly of promises to get tough with foreigners and people of nonwhite complexion. He will deport them, bar them, get them to knuckle under, make them pay up or make them shut up.

That this tough-guy, get-mad-and-get-even approach has gained him an increasingly large and enthusiastic following has probably surprised Trump as much as it has everyone else. Trump himself is simply and quite literally an egomaniac. But the phenomenon he has created and now leads has become something larger than him, and something far more dangerous.

[T]he phenomenon he has created and now leads has become something larger than him, and something far more dangerous.

Republican politicians marvel at how he has “tapped into” a hitherto unknown swath of the voting public. But what he has tapped into is what the founders most feared when they established the democratic republic: the popular passions unleashed, the “mobocracy.” Conservatives have been warning for decades about government suffocating liberty. But here is the other threat to liberty that Alexis de Tocqueville and the ancient philosophers warned about: that the people in a democracy, excited, angry and unconstrained, might run roughshod over even the institutions created to preserve their freedoms. As Alexander Hamilton watched the French Revolution unfold, he feared in America what he saw play out in France—that the unleashing of popular passions would lead not to greater democracy but to the arrival of a tyrant, riding to power on the shoulders of the people.

This phenomenon has arisen in other democratic and quasi-democratic countries over the past century, and it has generally been called “fascism.” Fascist movements, too, had no coherent ideology, no clear set of prescriptions for what ailed society. “National socialism” was a bundle of contradictions, united chiefly by what, and who, it opposed; fascism in Italy was anti-liberal, anti-democratic, anti-Marxist, anti-capitalist and anti-clerical. Successful fascism was not about policies but about the strongman, the leader (Il Duce, Der Fuhrer), in whom could be entrusted the fate of the nation. Whatever the problem, he could fix it. Whatever the threat, internal or external, he could vanquish it, and it was unnecessary for him to explain how. Today, there is Putinism, which also has nothing to do with belief or policy but is about the tough man who singlehandedly defends his people against all threats, foreign and domestic.

Successful fascism was not about policies but about the strongman, the leader (Il Duce, Der Fuhrer), in whom could be entrusted the fate of the nation.

To understand how such movements take over a democracy, one only has to watch the Republican Party today. These movements play on all the fears, vanities, ambitions and insecurities that make up the human psyche. In democracies, at least for politicians, the only thing that matters is what the voters say they want—vox populi vox dei. A mass political movement is thus a powerful and, to those who would oppose it, frightening weapon. When controlled and directed by a single leader, it can be aimed at whomever the leader chooses. If someone criticizes or opposes the leader, it doesn’t matter how popular or admired that person has been. He might be a famous war hero, but if the leader derides and ridicules his heroism, the followers laugh and jeer. He might be the highest-ranking elected guardian of the party’s most cherished principles. But if he hesitates to support the leader, he faces political death.

In such an environment, every political figure confronts a stark choice: Get right with the leader and his mass following or get run over. The human race in such circumstances breaks down into predictable categories—and democratic politicians are the most predictable. There are those whose ambition leads them to jump on the bandwagon. They praise the leader’s incoherent speeches as the beginning of wisdom, hoping he will reward them with a plum post in the new order. There are those who merely hope to survive. Their consciences won’t let them curry favor so shamelessly, so they mumble their pledges of support, like the victims in Stalin’s show trials, perhaps not realizing that the leader and his followers will get them in the end anyway.

A great number will simply kid themselves, refusing to admit that something very different from the usual politics is afoot.

A great number will simply kid themselves, refusing to admit that something very different from the usual politics is afoot. Let the storm pass, they insist, and then we can pick up the pieces, rebuild and get back to normal. Meanwhile, don’t alienate the leader’s mass following. After all, they are voters and will need to brought back into the fold. As for Trump himself, let’s shape him, advise him, steer him in the right direction and, not incidentally, save our political skins.

What these people do not or will not see is that, once in power, Trump will owe them and their party nothing. He will have ridden to power despite the party, catapulted into the White House by a mass following devoted only to him. By then that following will have grown dramatically. Today, less than 5 percent of eligible voters have voted for Trump. But if he wins the election, his legions will comprise a majority of the nation. Imagine the power he would wield then. In addition to all that comes from being the leader of a mass following, he would also have the immense powers of the American presidency at his command: the Justice Department, the FBI, the intelligence services, the military. Who would dare to oppose him then? Certainly not a Republican Party that laid down before him even when he was comparatively weak. And is a man like Trump, with infinitely greater power in his hands, likely to become more humble, more judicious, more generous, less vengeful than he is today, than he has been his whole life? Does vast power un-corrupt?

This is how fascism comes to America, not with jackboots and salutes (although there have been salutes, and a whiff of violence) but with a television huckster, a phony billionaire, a textbook egomaniac “tapping into” popular resentments and insecurities, and with an entire national political party—out of ambition or blind party loyalty, or simply out of fear—falling into line behind him.

       

Event Information

A conversation with U.S. Secretary of Commerce Penny Pritzker

On Thursday, June 2, U.S. Secretary of Commerce Penny Pritzker joined Senior Fellow Robert Kagan for a conversation on the economic dimensions of the liberal world order, including the critical economic opportunities on the global horizon and the role America’s private sector can play in helping shape modern commerce. They also discussed the importance of trade agreements to strengthening U.S. global competiveness. Suzanne Nora Johnson, vice chair of the Brookings Board of Trustees, moderated.

Video

• Economic opportunities and the liberal international order

       

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. 

We are here to discuss income inequality, alternative ways to evaluate its size and trend over time, and how it might be affected by tax policy.  My job is to introduce you to the problem of defining income and to show how the definition affects our understanding of inequality.

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.

      

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.

URL = http://eml.berkeley.edu/~saez/TabFig2015prel.xls.

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.

URL = https://www.cbo.gov/sites/default/files/114th-congress-2015-2016/reports/51361-SupplementalData-2.xlsx.

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.

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

       

       

       

       

       

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.

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Abstract

An individual-based computational model of smallpox epidemics in a two-town county is presented and used to develop strategies for bioterror containment. A powerful and feasible combination of preemptive and reactive vaccination and isolation strategies is developed which achieves epidemic quenching while minimizing risks of adverse side effects. Calibration of the model to historical data is described. Various model extensions and applications to other public health problems are noted.

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Published version of the CSED October 2007 Working Paper

ABSTRACT

Background

In classical mathematical epidemiology, individuals do not adapt their contact behavior during epidemics. They do not endogenously engage, for example, in social distancing based on fear. Yet, adaptive behavior is well-documented in true epidemics. We explore the effect of including such behavior in models of epidemic dynamics.

Methodology/Principal Findings

Using both nonlinear dynamical systems and agent-based computation, we model two interacting contagion processes: one of disease and one of fear of the disease. Individuals can “contract” fear through contact with individuals who are infected with the disease (the sick), infected with fear only (the scared), and infected with both fear and disease (the sick and scared). Scared individuals–whether sick or not–may remove themselves from circulation with some probability, which affects the contact dynamic, and thus the disease epidemic proper. If we allow individuals to recover from fear and return to circulation, the coupled dynamics become quite rich, and can include multiple waves of infection. We also study flight as a behavioral response.

Conclusions/Significance

In a spatially extended setting, even relatively small levels of fear-inspired flight can have a dramatic impact on spatio-temporal epidemic dynamics. Self-isolation and spatial flight are only two of many possible actions that fear-infected individuals may take. Our main point is that behavioral adaptation of some sort must be considered.”

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