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On July 30-31, 2004, more than 40 preeminent international leaders from the public, private, and non-profit sectors came together at the Aspen Institute to discuss "America's Role in the Fight Against Global Poverty" and to set out a forward-looking strategy for the United States.

Co-hosted by Richard C. Blum of Blum Capital Partners LP, the Brookings Institution's Poverty and Global Economy Initiative, the Aspen Institute, and Realizing Rights: The Ethical Globalization Initiative, the group's aim was to explore the dilemma of global poverty from different perspectives, to disaggregate the seemingly intractable problem into more manageable challenges, and to identify key elements of an effective U.S. policy agenda.

With roundtable participants hailing from around the world and representing diverse experiences and approaches, the dialogue was as multifaceted as the challenge of poverty itself. Rather than simply summarize conference proceedings, this essay attempts to weave together the thoughtful exchanges, impassioned calls to action, fresh insights, and innovative ideas that characterized the discussion, and to set the stage for ongoing collaboration in the struggle for human dignity.

Helping to define the issues, share and encourage what works, and build the intellectual framework for such an enterprise will be the guiding mission of the Richard C. Blum Roundtable in the years ahead.


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The last time policymakers substantially reviewed federal communications policy, it was the early 1990s. At that time, the Internet was only beginning to reveal itself to be the dynamic technology seen today. Mobile devices and services, such as 100 megabit broadband, smartphones, applications, social networks, tablets, and digital streaming, were barely imagined, let alone factored into policy discussions. As the recent debate around net neutrality highlights, policymakers today can be hamstrung in efforts to fit today's communications technologies and services into last century's communications law. Given that most major communications laws are out of step with today’s advanced mobile capabilities, what shape would smart, updated legislation and regulatory changes take? What are the major changes to U.S. communications law that most need to be addressed and implemented?

On March 24, the Center for Technology Innovation at Brookings hosted a conversation with Craig Silliman, general counsel and executive vice president for public policy at Verizon, to examine what 21st century communications polices might look like.

Video

• Updating communications law and regulations for the mobile era

Audio

• Updating communications law and regulations for the mobile era

Transcript

• Uncorrected Transcript (.pdf)

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• 20150324_communications_law_transcript

Choosing a health plan on one of the new public or private exchanges is no easy task. That’s especially true for those with medical conditions who want to be very sure the plan they enroll in will provide the services they need.

This challenge is not unique to buying health plans, however. It’s always hard for consumers to buy complex and technical services or products when they have little or no expertise in the field. Health insurance can be especially daunting, with so many factors to consider, and even the terminology can be confusing.

Standardizing choices and terms can be helpful to a point. Grouping health plans according to premiums and out-of-pocket costs – bronze, silver, gold and platinum plans – has worked well in the public exchanges. But standardization will always be in tension with innovation, and the reality is that most exchanges will carry a larger inventory of plans than what the typical consumer wants to scroll through. So the question of “choice architecture” – how the plans are filtered or screened – will come to the fore. 

Consumers will have many questions.  What is the price? How do I assess the trade-off between lower premiums and higher cost sharing? Is my doctor in the plan’s network? Are the drugs I take in the formulary (whatever that is)? Things can get real complicated real fast, and it can feel like there are too many, not too few, choices. No wonder some call that “choice anxiety”.

But that view overlooks how technology is likely to reduce choice anxiety in health care, just as it has for other complicated searches.  It used to take a librarian to find an obscure article or a travel agent to plan a vacation. Today a few keystrokes on Google locates the article, and Travelocity makes vacation planning a cakewalk, with everything from on-time flight arrival data to pictures of hotel rooms and customer reviews arranged by star ratings.

Expect technology to have the same dramatic impact on buying health coverage in the near future. There are several reasons for this:

The presentation of consumer information will get better. When large new markets for products and services are created and the demand for buyers’ information rises sharply, the incentive for entrepreneurs – both for-profit and nonprofit – to provide customer-friendly information also rises. We’ve already seen this in parts of the health care market where there has been plenty of choice. Millions of federal employees have for many years been able choose among a wide range of plans with differing benefits.  Many have turned to the highly regarded Consumers’ Checkbook to help them understand and readily compare plans in the federal program.

Checkbook has launched a similar comparison tool for the  Illinois exchange and recently won the Robert Wood Johnson Foundation’s (RWJF) first "Plan Choice Challenge," a nationwide competition to design a technology application that helps people choose their best health plan options.

Navigation technology will make searches simple and quick.  Most consumers don’t want to spend a lot of time comparing plans; they want to find the best buy for their situation as quickly as possible.  That’s why brokers have traditionally encouraged employers to offer their employees a carefully limited set of shopping choices, but we expect plan navigation technology to constantly improve the shopping experience in ways that will help customers search a larger inventory and still make choices more easily.   Stride Health, a San Francisco startup and finalist in the RWJF Challenge, has developed a recommendation technology that searches massive data sets on networks and formularies in seconds to help consumers find a “match” that fits their budget and health care needs.  (Full disclosure – author Joel Ario is an investor).  

Stride is one of more than 40 “web brokers” that has met federal consumer protection and privacy standards enabling it to work with the federal exchange to enroll subsidy-eligible individuals in coverage.  Expect increasing collaboration between public exchanges and private vendors, with a surge of apps and gadgets to make navigation easier and easier in health exchanges.

Technology will allow choices to be tailored to medical history.  Advances in technology won’t just make it technically easier to pick and choose by price and reputation. These advances will also empower Americans to base their choices on their likely medical needs. Today, tailoring your coverage to your medical condition usually means trying to get a doctor– or several doctors– to help you figure out what you should look for in a plan. Even with that help, for the average person it’s still a hit-or-miss proposition. But new forms of choice technology are beginning to utilize questions about medical history to guide buyers towards the plans that are most suited to their condition.  

Checkbook and Stride already allow consumers to enter more detailed health histories and get more sophisticated assistance, and this will only improve as exchanges publish more data in machine readable formats.   Expect more and increasingly sophisticated customized navigators, especially as patients get more access to their electronic medical records.  Also expect sellers to respond with products than bundle services to meet the new demand.

Does this mean that an iPhone app will be all that’s needed to ensure that every consumer can find his or her perfect plan? Not quite.  Health insurance marketplaces will continue to present thorny regulatory challenges.  Insurance regulators will need to guard against unfair practices, such as insurers’ designing benefit plans to drive away applicants with certain health conditions; privacy concerns will be raised whenever apps ask for medical history; and new forms of provider integration will test antitrust doctrine.

But one thing is clear. Improving technology will soon make picking the right health plan a far more precise and simple process – easy enough for many of our children to do on their smart phones or whatever gadget comes next.

It is estimated that there are 95 mobile phone subscriptions per 100 inhabitants worldwide, and this boom has not been lost on the developing world, where the number of mobile users has also grown at rocket speed. In fact, in recent years the information communication technology (ICT) revolution has provided opportunities leading to “death of distance,” allowing many obstacles to better livelihoods, especially for those in remote regions, to disappear. Remarkably, though, the huge proportion of poverty-stricken populations in so many of those same regions persists.

How might, then, we think differently on the relationship between these two ideas? Can and how might ICTs act as an engine for eradicating poverty and improving the quality of life in terms of better livelihoods, strong education outcomes, and quality health? Do today's communication technologies hold such potential?

In particular, the mobile phone’s accessibility and use creates and provides us with an unprecedented volume of data on social interactions, mobility, and more. So, we ask: Can this data help us better understand, characterize, and alleviate poverty?

Mapping call data records, mobility, and economic activity

The first step towards alleviating poverty is to generate poverty maps. Currently, poverty maps are created using nationally representative household surveys, which require manpower and time. Such maps are generated at a coarse regional resolution and continue to lag for countries in sub-Saharan Africa compared to the rest of the world.

As call data records (CDRs) allow a view of the communication and mobility patterns of people at an unprecedented scale, we show how this data can be used to create much more detailed poverty maps efficiently and at a finer spatial resolution. Such maps will facilitate improved diagnosis of poverty and will assist public policy planners in initiating appropriate interventions, specifically at the decentralized level, to eradicate human poverty and ensure a higher quality of life.

In order to create these detailed poverty maps, we first define the virtual network of a country as a “who-calls-whom” network. This signifies the macro-level view of connections or social ties between people, dissemination of information or knowledge, or dispersal of services. As calls are placed for a variety of reasons, including request for resources, information dissemination, personal etc., CDRs provide an interesting way to construct a virtual network for Senegal.

We start by quantifying the accessibility of mobile connectivity in Senegal, both spatially and across the population, using the CDR data. This quantification measures the amount of communication across various regions in Senegal. The result is a virtual network for Senegal, which is depicted in Figure 1. The circles in the map correspond to regional capitals, and the edges correspond to volume of mobile communication between them. Thicker edges mean higher volume of communication. Bigger circles mean heavier incoming and outgoing communication for that region.

Figure 1: Virtual network for Senegal with MPI as an overlay

Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015

Figure 1 also shows the regional poverty index[1] as an overlay. A high poverty index corresponds to very poor regions, which are shown lighter green on the map. It is evident that regions with plenty of strong edges have lower poverty, while most poor regions appear isolated. 

Now, how can we give a more detailed look at the distribution of poverty? Using the virtual network, we extract quantitative metrics indicating the centrality of each region in Senegal. We then calculate centrality measures of all the arrondissements[2] within a region. We then correlate these regional centrality measures with the poverty index to build a regression model. Using the regression model, we predict the poverty index for each arrondissement.

Figure 2 shows the poverty map generated by our model for Senegal at an arrondissement level. It is interesting to see finer disaggregation of poverty to identify pockets of arrondissement, which are most in need of sustained growth. The poorer arrondissements are shown lighter green in color with high values for the poverty index.

Figure 2: Predicted poverty map at the arrondissement level for Senegal with MPI as an overlay

Source: Author’s rendering of the virtual network of Senegal based on the dataset of CDRs provided as a part of D4D Senegal Challenge 2015.

What is next for call data records and other Big Data in relation to eradicating poverty and improving the human development?

This investigation is only the beginning. Since poverty is a complex phenomenon, poverty maps showcasing multiple perspectives, such as ours, provide policymakers with better insights for effective responses for poverty eradication. As noted above, these maps can be used for decomposing information on deprivation of health, education, and living standards—the main indicators of human development index.

Even more particularly, we believe that this Big Data and our models can generate disaggregated poverty maps for Senegal based on gender, the urban/rural gap, or ethnic/social divisions. Such poverty maps will assist in policy planning for inclusive and sustained growth of all sections of society. Our methodology is generic and can be used to study other socio-economic indicators of the society.

Like many uses of Big Data, our model is in its nascent stages. Currently, we are working towards testing our methodology at the ground level in Senegal, so that it can be further updated based on the needs of the people and developmental interventions can be planned. The pilot project will help to "replicate" our methodology in other underdeveloped countries.

In the forthcoming post-2015 development agenda intergovernmental negotiations, the United Nations would like to ensure the “measurability, achievability of the targets” along with identification of 'technically rigorous indicators' for development. It is in this context that Big Data can be extremely helpful in tackling extreme poverty.

Note: This examination was part of the "Data for Development Senegal" Challenge, which focused on how to use Big Data for grass-root development. We took part in the Data Challenge, which was held in conjunction with NetMob 2015 at MIT from April 7-10, 2015. Our team received the National Statistics prize for our project titled, "Virtual Network and Poverty Analysis in Senegal.” This blog reflects the views of the authors only and does not reflect the views of the Africa Growth Initiative.

[1] As a measure of poverty, we have used the Multidimensional Poverty Index (MPI), which is a composite of 10 indicators across the three areas: education (years of schooling, school enrollment), health (malnutrition, child mortality), and living conditions.

[2] Senegal is divided into 14 administrative regions, which are further divided into 123 arrondissements.

Expanding formal financial services—including traditional services (offered by banks) and digital services (provided via mobile money systems)—to individuals previously excluded from their access can improve their capacity to save, make payments swiftly and securely, and cope with economic shocks. Importantly, having access to financial services is also considered a critical component of women’s full economic participation and empowerment. Many countries, therefore, are working to increase accessibility to and usage of formal financial services as important strategies to improving individuals’ financial stability and, at a macro-level, supporting inclusive development and growth.

In sub-Saharan Africa, where the provision and uptake of traditional financial services is limited due to a wide range of factors (including poverty, lack of savings, and poor infrastructure, among others), a number of governments are working to promote digital financial service offerings by creating an enabling environment for various entities (including bank and non-bank formal providers) to offer them. In turn, the region is leading global progress in the adoption of digital financial services: 12 percent of sub-Saharan African adults have a mobile money account (nearly half of whom exclusively use digital services) compared with only 2 percent of adults at the global level. In fact, in five African countries (Cote d’Ivoire, Somalia, Tanzania, Uganda, and Zimbabwe) more adults have mobile money accounts than have conventional bank accounts.

In the first of a series of publications exploring and sharing information that can improve financial inclusion around the world, the Brookings Financial and Digital Inclusion Project (FDIP) takes stock of progress toward financial inclusion in 21 countries from various economic, political, and geographic contexts and scores them along four key dimensions of financial inclusion: country commitment, mobile capacity, regulatory environment, and adoption of traditional and digital financial services. The interactive rankings and report were launched on Wednesday, August 26 at an event entitled, “Measuring progress on financial and digital inclusion.” According to the report’s findings, four out of the five top-scoring countries are located in sub-Saharan Africa. On the other hand, some of the lowest ranked countries were also African, demonstrating regional diversity in the pathways toward financial inclusion and their subsequent outcomes.

Here are some of our main takeaways from four of the nine African case studies featured in the report: Ethiopia (ranked #21 overall), Kenya (ranked #1), Nigeria (ranked #9), and South Africa (ranked #2). Kenya and Ethiopia are the highest- and lowest-ranked African countries in the report, respectively, while Nigeria and South Africa represent the continent’s two largest economies, which have achieved disparate outcomes in terms of financial inclusion. (For the overall rankings of the nine African countries included in the report, see Figure 1.)

Figure 1. Overall FDIP rankings of African countries

• Ethiopia’s overall financial and digital inclusion score was low due in large part to its poor mobile capacity and the low adoption rates of formal (particularly digital) financial services. The World Bank’s Global Financial Inclusion Index (Findex)—one of the major datasets highlighted in the report—reveals that only 22 percent of adults in Ethiopia had a formal financial account and about 0.03 percent of adults had a mobile money account in 2014.
• In addition, limited development of the information and communications technologies (ICT) sector and mobile communications infrastructure have inhibited mobile and digital access, reducing the array of financial products and services available to underserved populations.
• However, Ethiopian digital financial inclusion has the potential and political support to grow: The government is taking steps to address shortcomings in the enabling environment for digital financial service provision, for example, by adopting a mobile and agent banking framework in 2013. This framework sets the foundation for allowing banks and microfinance institutions to provide services through mobile phones and agents. The government is also in the process of developing a dedicated Financial Inclusion Council and secretariat in order to enhance participation from non-financial institutions (namely, mobile network operators) in developing policies for achieving greater digital financial inclusion.

Kenya: Mobile money innovations drive uptake

• Kenya scored highest in the overall rankings due to its highly accessible mobile networks, regulatory framework conducive to the development of digital financial services, and products that cater to consumer needs and so promote adoption. Kenya also has the highest rate of financial account penetration among women.
• Between 2011 and 2014, Kenya increased its levels of formal financial and mobile money account penetration by 33 percentage points owing mostly to robust take-up within the country’s vibrant mobile money ecosystem. Nearly 90 percent of Kenyan households reported using mobile money services as of August 2014, and the M-Pesa system (operated by Safaricom) is widely considered the leading driver of success in adoption of mobile money usage.
• Innovative services that have helped spur financial inclusion among marginalized groups have been developed within Kenya’s mobile network operator-led (MNO-led) approach: For example, in 2012, the Commercial Bank of Africa and Safaricom partnered together to provide the M-Shwari service, which offers interest-bearing mobile money accounts and microfinance.
• Still, one aspect of the mobile money system upon which the Kenyan government could improve is consumer protection of clients of credit-only institutions, such as microfinance institutions (MFIs) and savings and credit cooperatives (SACCOs). Lack of oversight could potentially leave users without adequate consumer protection as these institutions are not adequately regulated and supervised.

Nigeria: A stalled bank-led approach

• Nigeria achieved a moderate score in the FDIP rankings because, despite a number of country commitments in recent years, low levels of adoption persist. In fact, Nigeria’s increase in financial inclusion has not been driven by uptake of mobile money services: While the proportion of adults age 15 and older who have a mobile money or traditional bank account increased from 30 percent in 2011 to 44 percent in 2014, only 0.1 percent of adults had a registered mobile money account in 2014 and had used it at least once in the 90 days prior, according to an Intermedia survey.
• The Central Bank of Nigeria (CBN) has taken a bank-led approach to mobile money, in which banks promote their traditional services via the mobile network. This is an alternative approach to the MNO-led approach seen in Kenya, where MNOs provide the network of agents and manage customer relations. Some experts have noted that in cases where a bank-led approach is adopted, for example in India, the financial incentives are not strong enough for banks to expand their services to the unbanked, while mobile network operators on the other hand have greater “assets, expertise, and incentives” to launch and scale mobile money services.

South Africa: Strong mobile capacity, yet room for growth in adoption

• South Africa was ranked highest of all countries in the report in mobile capacity for its robust mobile infrastructure and large proportions of the population subscribing to mobile devices (70 percent) and covered by 3G mobile networks (96 percent). It also tied for the highest score of formal account penetration, including among rural, low-income, and female groups.
• In the past decade, financial inclusion (as measured by the proportion of the population using financial products and services—formal and informal) has increased dramatically from 61 percent in 2004 to 86 percent in 2014. This uptick can be partially attributed to the increase in banking and ownership of ATM/debit cards. Disparities in penetration exist, however, among gender and race, with women and white populations being more likely to be banked than men and black populations.
• As cited in the Brookings FDIP 2015 report, the 2014 Global Findex found that 14 percent of adults (age 15 and older) possessed a mobile money account in 2014. The top 60 percent of income earners were more than twice as likely to have accounts as the bottom 40 percent of the income scale. So despite strong mobile capacity, there is still room for growth in terms of mobile money penetration especially among low-income adults.

The FDIP case studies offer a number of insights into the policies and frameworks conducive to the uptake of formal financial services. In several of African countries considered to be mobile money “success stories,” for example, in Kenya (also see the Rwanda country profile in the report), mobile network operators play a substantial role in spearheading the drive toward financial inclusion and have collaborated closely with central banks, ministries of finance and communications, banks, and non-bank financial providers. Ensuring the participation of all stakeholders—not just governments and banks—in setting the national financial inclusion priorities and agenda, then, is critical. Furthermore, actively participating in multinational financial inclusion networks can enhance knowledge-sharing among members and lead to further country commitments. Finally, leading surveys of the national financial inclusion landscape can also help governments and financial service providers better target their strategies and services to the local needs and context.

Education is at a critical juncture in many nations around the world. It is vital for student learning, workforce development, and economic prosperity. For example, research in Turkey has found that raising the compulsory education requirement from five to eight years increased the percentage of women having eight years of school by 11 percentage points, and had a variety of positive social consequences.

Yet despite the emergence of digital learning, most countries still design their educational systems for agrarian and industrial eras, not the 21st century. This creates major problems for young people who enter the labor force as well as teachers and parents who want children to compete effectively in the global economy.

In this paper, Darrell West examines how mobile devices with cellular connectivity improve learning and engage students and teachers. Wireless technology and mobile devices:

• Provide new content and facilitate information access wherever a student is located
• Enable, empower, and engage learning in ways that transform the environment for students inside and outside school
• Allow students to connect, communicate, collaborate, and create using rich digital resources, preparing them to adapt to quickly evolving new technologies
• Incorporate real-time assessment of student performance
• Catalyze student development in areas of critical-thinking and collaborative learning, giving students a competitive edge

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The government and opposition in Georgia remain locked in political stalemate. The opposition continues to hold rallies and to call for President Saakashvili to step down, and the opposition and government thus far have found no common basis for moving forward. All this plays out against a backdrop of lingering tensions in relations between Georgia and Russia in the aftermath of the August 2008 conflict.

On June 17, the Center on the United States and Europe (CUSE) at Brookings hosted Irakli Alasania, former Georgian permanent representative to the United Nations and currently the head of the Alliance for Georgia opposition group, for a discussion on the political crisis in Georgia and the prospects for resolution. After a decade of important positions in the Georgian government, Ambassador Alasania resigned from his position at the United Nations in December 2008 and has since been actively involved in the Georgian opposition. Brookings senior fellow Carlos Pascual introduced Ambassador Alasania and moderated the discussion.

Audio

• The Political Crisis in Georgia: Prospects for Resolution

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• Uncorrected Transcript (.pdf)

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• 20090617_georgia

Introduction

Guaranteeing the right to vote and to participate in public and political affairs for all citizens is an important responsibility. Given the precarious position that IDPs can find themselves in and considering the extent to which they may need to rely on national authorities for assistance, IDPs have a legitimate and a heightened interest in influencing the decisions that affect their lives by participating in elections.   

Internally displaced persons often exist on the margins of society and are subject to a number of vulnerabilities because of their displacement. For instance, IDPs face an immediate need for protection and assistance in finding adequate shelter, food, and health care. Over time, they can suffer discrimination in accessing public services and finding employment on account of being an IDP from another region or town. IDPs also face an especially high risk of losing ownership of their housing, property, and land, something which can lead to loss of livelihoods and economic security as well as physical security. Women and children, who often make up the majority of IDP populations, face an acute risk of sexual exploitation and abuse.  

In addition to influencing public policy, elections can also be about reconciliation and addressing divisions and inequities that exist within society. For these reasons and others, IDPs should be afforded an opportunity to fully participate in elections as voters and as candidates.   

As noted in a press release of the Representative of the Secretary General of the United Nations on the Human Rights of Internally Displaced Persons following an official mission to Georgia in December 2005, 

“[IDP] participation in public life, including elections, needs promotion and support. Supporting internally displaced persons in their pursuit of a normal life does not exclude, but actually reinforces, the option of eventual return. … Well integrated people are more likely to be productive and contribute to society, which in turn gives them the strength to return once the time is right."[1]

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Harsh geopolitical realities and historic legacies have pushed the South Caucasus states of Armenia, Azerbaijan, and Georgia back onto the foreign policy agendas of the United States, the European Union (EU), and Turkey, at a time when all three have pulled back from more activist roles in regional affairs. The South Caucasus states have now become, at best, second-tier issues for the West, but they remain closely connected to first-tier problems. To head off the prospect that festering crises in the Caucasus will lead to or feed into broader conflagrations, the United States, EU, and Turkey have to muster sufficient political will to re-engage to some degree in high-level regional diplomacy. In “Retracing the Caucasian Circle Considerations and Constraints for U.S., EU, and Turkish Engagement in the South Caucasus,” authors Fiona Hill, Kemal Kirişci, and Andrew Moffatt explore the rationale and assess the options for Western reengagement with Armenia, Azerbaijan, and Georgia given the current challenges and limitations on all sides. Based on a series of study trips to the South Caucasus and Turkey in 2014 and 2015, and numerous other interviews, the authors review some of the current factors that should be considered by Western policymakers and analysts.

Constraints and considerations for U.S., EU, and Turkish engagement in the South Caucasus:

• Divergent trends in the South Caucasus
• Russia’s influence in the South Caucasus
• Regional conflicts
• The United States’ diminishing role in the South Caucasus
• Failure to integrate the South Caucasus into the EU
• Foundering relations with Turkey
• Dashed expectations in the South Caucasus of Western engagement

Despite the challenges that have beset the West’s relations with the South Caucasus and the growing disillusionment in Armenia, Azerbaijan, and Georgia, giving up on engagement is not an option.

Policy options for the future:

• The United States, EU, and Turkey must work together, rather than separately
• “Under the radar” coordination on creative interim solutions and working with other mediators
• Focus on the development of “soft regionalism”
• Work with Georgia as the hub for furthering soft regionalism
• Devise adaptable policies as relations with Iran and China develop in the region

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• Retracing the Caucasian Circle: Considerations and constraints for U.S., EU, and Turkish engagement in the South Caucasus

I write this as I learn of the beating death of an Azerbaijani journalist Rasim Aliyev. His “crime” was to post a Facebook item about football. What follows seems insignificant compared to his murder.

Two articles have appeared in prominent Western outlets in the past month addressing developments in the South Caucasus and the need for adjustments in U.S. (and Western) policy toward the region. The first was an excellent, in-depth Brookings report titled "Retracing the Caucasian Circle—Considerations and Constraints for U.S., EU, and Turkish Engagement in the South Caucasus"; the second was a shorter essay that Bill Courtney, Denis Corboy, and I penned for Newsweek on the need to reboot policy toward Armenia, Azerbaijan, and Georgia. Both reflected the difficulty of writing about the “South Caucasus” as if the three countries had common interests and objectives. Increasingly these interests and objectives are diverging, except for a growing unhappiness with the United States and the West for not paying attention to—or doing enough to support—the region. In the case of Azerbaijan, the frustration stems from U.S. leaders paying too much attention to the appalling human rights situation in the country.

What’s making the Azerbaijanis so upset with the West?

The authors of the Brookings report point to elite cynicism over Western disinterest and policy failures in the region as sources of Azerbaijani leaders’ unhappiness. This, in their view, is causing Armenia, Georgia, and Azerbaijan—for different reasons and in different ways—to tack toward Russia.

We have a different take in our Newsweek piece. We argue that the unhappiness results from governing elites recognizing that U.S. and Western policy regarding human rights, democracy building, corruption, and conflict resolution (especially the Nagorno-Karabakh conflict) threaten regime stability. Therefore, the tacking toward Russia is a conscious choice to avoid pressure and the transparency that closer association with the United States and Europe would involve.

The new orientation of these countries requires serious adjustment in Western policies. There are four new drivers prompting change (beyond the role of Russia): the regional consequences of the Iran nuclear agreement; the growing economic crisis, which is affecting the South Caucasian states in different ways; the threat of renewed military conflict between Armenia and Azerbaijan; and the internal security implications of suppression of human rights. While each country responds to these drivers in different ways, they are the source of a new dynamic in the South Caucasus that requires a fresh Western policy approach.

Three wild cards will shape these drivers and the Western approach to them: First, how hard will Russian President Vladimir Putin push his objective of rolling back the degree of Western influence achieved since the fall of the Soviet Union? Second, how well will Iran play the nuclear agreement card, especially regarding its reentry into global energy markets? Third, how distracting will Turkey’s military response to the Islamic State and the Kurdistan Workers’ Party (PKK) be for Turkey’s interests in the South Caucasus and its objective of becoming a regional energy hub?

The shortcomings of soft regionalism

What is to be done? Faced with such a challenging situation, the default policy response is to provide more assistance (economic and military), dispatch senior officials from Western capitals to visit the region, and indulge (rather than criticize) democracy and human rights abuses, all in the name of developing a strategic partnership. In other words: Show more love.

That business-as-usual approach is inappropriate for these challenging times. In the case of Azerbaijan, it is an inappropriate response to the continued violations by the Baku regime of basic human rights and freedom of expression.

The Brookings paper suggests a multilateral approach (involving the United States, EU, and Turkey) based on soft regionalism. I do not believe that soft regionalism will work. The best we can hope for is parallel bilateral engagement on the basis of common interests (e.g. conflict prevention) and shared values (e.g. democratic evolution, observance of human rights). We need to treat the energy issue in the region as a commercial rather than geopolitical one. Changes in the global energy market have undermined the geopolitical significance of Caspian energy resources compared to two decades ago. With low energy prices likely the norm for the near future, energy no longer plays a strategic role for the region. Among other weaknesses, the soft regionalism prescription implies coordinated interests with Turkey—this will be difficult absent an opening in Turkish-Armenian relations.

Who needs who more?

The burden of choice in this relationship with the West must shift from the outside parties to the South Caucasian states themselves. The outsiders should stop talking about “strategic” partnerships, trans-Caspian pipelines and Silk Roads because this perpetuates a “you-need-us-more-than-we-need-you” starting point. Rather, the time has come for Armenia, Azerbaijan, and Georgia to decide on their own where their interests coincide with those of the West. That’s where we and they can begin to develop meaningful relationships, rather than trying to invent a veneer to cover differences—as in the case of Azerbaijan’s record on human rights.

Another recent article in Newsweek, by Theodore Gerber and Jane Zavisca, raised questions about promoting democracy and human rights where populations and elites are skeptical of U.S. motivations in promoting these issues. Fairly, the article questions the effectiveness of the traditional instruments of promoting opposition political parties and local NGOs as a way of winning “hearts and minds” in the former Soviet Union. Unfortunately, these traditional instruments tend to emphasize the attractiveness of the “American way of life” through student and scientific exchanges. This offers a variant on the soft regionalism theme advanced in the Brookings paper. Both require a receptivity to change that both elites and populations increasingly find threatening. Developing a values-based relationship is difficult when values diverge.

To the extent our interests do not coincide, then the Western policy focus must be transactional and rest exclusively on conflict prevention and/or amelioration. It also should not shy away from pressing all three South Caucasian states on their obligations to observe international standards regarding human rights, democracy, and freedom of expression.

Americans often think of our country as being one of great opportunity – where anyone can rise from very modest circumstances, if they work hard and make good choices. We believe that often remains true.

But, for children and youth growing up in poverty, such upward mobility in America is too rare. Indeed, just 30 percent of those growing up in poverty make it to middle class or higher as adults. Though we’ve made progress in reducing poverty over the past several decades, our poverty rates are still too high and our rate of economic advancement for poor children has been stuck for decades. That is an embarrassment for a nation that prides itself on everyone having a shot at the American Dream.

What can we do to reduce poverty and increase economic mobility? In our polarized and poisoned political atmosphere, it is hard to reach consensus on policy efforts. Both progressives and conservatives want lower poverty; but progressives want more public spending programs to improve opportunity and security for the poor, while conservatives generally argue for more responsibility from them before providing more help.

Even so, progressives and conservatives might not be as far apart as these stereotypes suggest. The two of us—one a conservative Republican and the other a progressive Democrat—were recently part of an ideologically balanced group of 15 scholars brought together by the American Enterprise Institute and the Brookings Institution. Our charge was to generate a report with policy proposals to reduce poverty and increase upward mobility. An additional goal was simply to see whether we could arrive at consensus among ourselves, and bridge the ideological divide that has so paralyzed our political leaders.

Together we decided that the most important issues facing poor Americans and their children are family, education and work. We had to listen to each other’s perspectives on these issues, and be open to others’ truths. We also agreed to be mindful of the research evidence on these topics. In the end, we managed to generate a set of policy proposals we all find compelling.

To begin with, the progressives among us had to acknowledge that marriage is a positive family outcome that reduces poverty and raises upward mobility in America. The evidence is clear: stable two-parent families have positive impacts on children’s success, and in America marriage is the strongest predictor of such stability. Therefore marriage should be promoted as the norm in America, along with responsible and delayed child-bearing.

At the same time, the conservatives among us had to acknowledge that investing more resources in the skills and employability of poor adults and children is crucial if we want them to have higher incomes over time. Indeed, stable families are hard to maintain when the parents – including both the custodial mothers and the (often) non-custodial fathers – struggle to maintain employment and earn enough to support their families. Investing in proven, cost-effective, education and training programs such as high-quality preschool and training for jobs in high-growth economic sectors can improve the skills and employability of kids from poor families and lift them out of poverty through work.

Another important compromise was that progressives acknowledged that expecting and even requiring adults on public assistance to work can reduce poverty, as we learned in the 1990s from welfare reform; programs today like Disability Insurance, among others, need reforms to encourage more work. And reforms that encourage innovation and accountability would make our public education programs for the poor more effective at all levels. We need more choice in public K-12 education (through charter schools) and a stronger emphasis on developing and retaining effective teachers, while basing our state subsidies to higher education institutions more heavily on graduation rates, employment, and earnings of their graduates.

Conservatives also had to acknowledge that requiring the poor to work only makes sense when work is available to them. In periods or places with weak labor markets, we might need to create jobs for some by subsidizing their employment in either the private or public sector (as we did during the Great Recession). We agreed that no one should be dropped from the benefit rolls unless they have been offered a suitable work activity and rejected it. And we also need to “make work pay” for those who remain unskilled or can find only low-wage jobs – by expanding the Earned Income Tax Credit (especially for adults without custody of children) and modestly raising the minimum wage.

We also all agreed on other topics. For instance, work-based learning—in the form of paid apprenticeships and other models of high-quality career and technical education—can play an important role in raising both skills and work experience among poor youth and adults.  And, if we raise public spending for the poor, we need to pay for it—and not increase federal deficits. We all agree that reducing certain tax deductions for high-income families and making our retirement programs more progressive are good ways to finance our proposals.

As our report demonstrates, it is possible for progressives and conservatives to bridge their differences and reach compromises to generate a set of policies that will reduce poverty and improve upward mobility. Can Congress and the President do the same?

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

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Inequality remained a prominent theme in public debate during 2015, likely helped by the unexpected rise and resilience of democratic socialist Bernie Sanders' run for the Democratic presidential nomination. Although the labor market continued its slow recovery, wage growth remained fairly weak—especially for middle and low earners. The upper middle class continues to pull away from the middle, not least in terms of income and wealth.

But it has also become much clearer that inequality is a geographical issue, as much as a social and economic one. Whether the focus is on the more immediate matter of income inequality or the slower-burning issue of intergenerational mobility, there is huge variation between different places in the United States.

National income trends are important, of course. But they can often disguise deep differences by place. The income required to be ‘rich,’ at least by comparison to those around you, varies significantly between different cities, for example. A household income of $100,000 puts you on almost on the top rung (around the 95^th percentile) of the income ladder in Detroit. But to reach the same heights in San Jose, California, you’d need an income three times as great, according to calculations by my colleague Alan Berube.

There are also very large differences in the extent of income inequality in different metropolitan areas. Using the inequality measure used in another recent paper by Berube, the ratio between incomes at the 20^th percentile and the 95^th percentile, shows that while some cities have large gaps between rich and poor, others look almost Scandinavian in their egalitarian distributions. Here are the 20/95 ratios for the three most equal and unequal cities in the U.S.:

In a groundbreaking research paper in 2014, Raj Chetty and his team at the Equality of Opportunity Project at Harvard showed that rates of intergenerational income mobility also vary considerably between different cities. It was always a stretch to compare the U.S. to Denmark on this front, given the colossal differences between the countries. But such comparisons became virtually unconscionable once the variations within the U.S. become apparent.

This year, Chetty and his co-author Nathaniel Hendren went a step further and a big step closer to showing a causal impact of place on the prospects for children raised in different locations. Again relying on large administrative datasets, the two scholars were able to show the variation in earnings for the folk hailing from, say, Baltimore versus Baton Rouge.

Professor Chetty presented his new research at a Brookings event in June (which you can view here), just weeks after the eruption of protest and violence in Baltimore following the death of Freddie Gray. One striking finding was that the worst place in America to grow up, in terms of subsequent earnings, is Baltimore City. Critically, Chetty’s research design allows him to show that these differences do not reflect the characteristics of the people of Baltimore; but the characteristics of Baltimore itself. This downward effect on earnings is particularly bad for boys, as we highlighted in an earlier blog:

In related work, Chetty and his colleagues also show that children who move to a better place see an improvement in their own earnings—and that the younger they are when they move, the bigger the impact. The children of families who move as a result of the U.S. Department of Housing and Urban Development’s Moving to Opportunity program showed sizable improvements in their own outcomes, as Jonathan Rothwell highlighted in his blog, 'Sociology’s revenge: Moving to Opportunity (MTO) revisited.'

Race, place and opportunity

One of the findings from Chetty’s earlier work is that race, place, and opportunity intersect in important ways. Cities with more segregation, and those with larger black populations, tend to show weaker upward mobility patterns. In order to understand the obstacles to upward mobility, policymakers have to adopt both a place-conscious (Margery Turner) and a race-conscious perspective. This policy was the subject of another Brookings event in November, with contributions from the Deputy Prime Minister of Singapore, the Governor of Delaware, and the Mayor of Newton, Mass. (The event can still be viewed here; for my highlights see this piece.) Being poor and black is generally not the same as being poor and white. Being poor in Cleveland is not the same as being poor in Charlotte.

Many states and cities are upping their game on issues of equality and opportunity, for both bad and good reasons. The bad reason is the relative inertia of the federal government. The good reason is a growing recognition that many of the levers for improving opportunity lie in the hands of institutions and agents at the state and metro level. Colorado has adopted a life-cycle opportunity framework and is pioneering efforts to integrate health and social policy. Charlotte has a high-profile taskforce (which I advise) on improving opportunity. Cincinnati has pledged to lift 10,000 children out of poverty within five years. Louisville is leading a push on school desegregation. Kalamazoo is adding greater student supports to its existing promise of free college. Baltimore’s program to reduce infant mortality has shown remarkable success. Durham, N.C. has rolled out a universal home visiting program.

Many of these efforts are building on the emerging ideas around 'collective impact,' harnessing local resources of many kinds around a clearly-articulated, shared goal. Given the scholarship showing just how much particular places influences individual and broader outcomes, this is likely to be where much of the most important policy development will take place in coming years. In terms of equality—and especially equality of opportunity—we need to think local, and act local, too.

In his new book, “The Rise and Fall of American Growth: The U.S. Standard of Living Since the Civil War,” Northwestern University economist Bob Gordon argues that the century between 1870 and 1970 was exceptionally good for U.S. households (particularly 1920 to 1950) but that the years since 1970 have been disappointing and the future looks disappointing too.

His postscript includes a few thoughts that deserve immediate attention in today’s economic policy debates: Whatever the causes of the distressing slowdown in the growth of productivity (the amount of stuff produced for each hour of work) and the increase in inequality, what policies might both increase productivity and decrease inequality? 

Many years ago, economist Art Okun argued that we had to choose between policies that increased efficiency and those that increased equity. Perhaps. But  if there are policies that could achieve both, it’s time to try them. 

Mr. Gordon lists several at the end of his book, some conventional and others less so. They include: 

1. Make the earned-income tax credit (a bonus paid by the government to low-wage workers) more comprehensive and generous, a complement to raising the minimum wage. The earned-income tax credit, most economists agree, encourages work. 

2. Reduce the share of Americans who are in prison, which is costly, disproportionately hurts the poor, and has long-lasting negative effects on former prisoners and their families. Also, legalize drug use to save money on enforcement, raise tax revenue, and eliminate the negative consequence a criminal record has on employment.

3. Shift financing of K-12 schooling from local property taxes to statewide revenue sources to reduce inequality and improve outcomes. Shift college financing from loans to income-contingent repayment administered through the income tax system, which is what Australia does.

4. Roll back regulations that hurt the economy and the less affluent, including copyright and patent laws (which have gone too far), occupational licensing (which is a barrier to entry and employment), and zoning and land-use regulations (which boost housing costs). 

5. Reform immigration laws to encourage high-skilled workers, including those trained at U.S. graduate schools. 

Mr. Gordon notes (Page 314) “the extraordinary investment” by state and local governments in education and infrastructure between 1870 and 1940 and cites the substantial boost to productivity created by the interstate highway system. He doesn’t put increased public infrastructure investment on his list, though it belongs there. 

Every presidential candidate should be asked what policies he or she would offer to increase the pace of U.S. productivity growth and to narrow the widening gap between winners and losers in the economy. Bob Gordon’s list is a good place to start.

Editor's note: this post first appeared in the Wall Street Journal Washington Wire blog.

There are lots of good reasons to go to college, but the vast majority of prospective students in this country report[i] that they’ll go to college because they believe that it will improve their employment opportunities and financial wellbeing. And for the most part, they’re right. Despite many suggestions to the contrary, it’s very well documented[ii] that investments in higher education pay large dividends in the form of future earnings. This makes higher education one of the most important tools we have for generating social mobility. Regardless of an individual’s starting point in life, higher education offers access to greater financial well-being. Unfortunately, it’s not a fail proof system.

Investments in education, like investments in the stock market, do not come without risk. In financial markets, access to information is one way investors mitigate risk. Mutual funds, for example, disclose average returns over various time periods for certain categories of investments (e.g. large-cap funds, emerging market funds, technology funds, etc.), in addition to other information. These data, moreover, are widely and freely available through consumer-oriented websites like Yahoo Finance, Vanguard, and E-Trade. Yet, for higher education, students have had access to no analogous information until quite recently.

For decades, economists discussed the average benefits of a college education compared to a high school education with no regard to either field of study or institution. Finally, in 2009, the Census Bureau started collecting data that could be used to assess which majors pay the most,[iii] and then just a few months ago, the Department of Education released data on the earnings of alumni by institution, for all students who receive federal grants or loans. These data can be further analyzed, as we have done, to estimate the economic contribution of schools (or value-added) as distinct from the outcomes attributable to student characteristics (like test scores).[iv] Still, even with these data advances, students cannot compare earnings by major across institutions, except in a handful of cases using state data systems.

Here, we illustrate how data by major and institution can inform the decision of what to study and where using data from Texas. Suppose first that this student is a Texas resident and has decided she would like to pursue a bachelor’s degree at a public institution in her state.

Our data on alumni earnings by major comes from the Texas Higher Education Board, and we combine it with information on the net cost of tuition from the Department of Education’s IPEDS database as reported in the College Scorecard.[v] We use these data to estimate the ten-year return on investment for each institution in the state of Texas by major.   

We calculate an estimate of ten-year return by summing the average earnings faced by graduates over the first ten years following graduation[vi] and subtracting off the wage they would have received as a high school graduate without a degree (taking into account additional years of earnings when they would have been enrolled in college). To estimate this benchmark, we used data on Texas residents from the Annual Social and Economic Supplement to the Current Population Survey, obtained via IPUMS CPS.[vii] We then subtract the institution specific costs[viii] to get the ten-year financial return. Since education pays off over a lifetime, this isn’t the ideal exercise, but it’s still informative. We’ve estimated these returns based on the population of individuals who both complete their degree and do not go on to complete graduate study. Ideally, these estimated expected returns would be adjusted to account for how earnings and costs are affected by non-completion. Indeed, the average rate of completion across these schools is only 48 percent. This is a quick and dirty method for estimating returns that fails to take into account a number of selection issues,[ix] but we believe that it still provides an effective illustration of risk in higher education. 

Figure 1 illustrates the potential average outcome facing our Texas student, who is deciding between bachelor’s degree programs from the set of public institutions in her home state. We’ve plotted the distribution of financial returns for the set of potential expected outcomes, which are defined as all combinations of institution and major. To be clear, the distribution of potential outcomes would be far wider if we were using individual specific variation (i.e. the fact that some students will ultimately earn more than others, even with the same degree from the same institution) and the real possibility of non-completion.

We know that, on average, this student will face a positive return on her investment, wherever she chooses to go. The average rate of return across all possible choices facing this student is quite a sizeable 11.3 percent (or $216,000 in undiscounted 2014 dollars). At a systemic level that’s important.  Still, the standard deviation is 6.7, with a low return of a -6.6 percent (Animal Science at Sul Ross State) and a high return of 79.8 percent (Registered Nursing at UT Brownsville). Out of 1065 combinations of majors and schools, 19 yielded average negative returns. This was true even for two programs at the selective UT Austin campus (Visual and Performing Arts and Classics). 1.1 percent of students who graduated in 2004 were in a major-institution combination that yielded a net return below 4 percent. In such cases, they would have been better off putting their dollars into treasury bills.

Figure 1. Mean return on bachelor’s degree investment by institution and major, for Texas residents who graduated in 2004 from a Texas public college

Students who know what they want to major in could benefit greatly from knowing which school is likely to generate the largest pay off (it would be nice to know this in terms of learning as well as money, but that is another more complicated matter).

We’ve illustrated the distribution of potential outcomes for two different popular majors, Liberal Arts and Sciences and Electrical Engineering.[x] Both majors clearly offer a significant average rate of return across all institutions (12 for Liberal Arts and 20 for Electrical Engineering), but depending on which major they choose the student will face a different level of risk in their future earnings. The variation (standard deviation) in the expected rate of return across institutions is much larger for Liberal Arts majors (5.7) than for Electrical Engineering majors (3.7). Yet, while these facts may discourage people from pursuing a Liberal Arts major in the abstract, the plot below does show that some Liberal Arts majors out-earn their peers in electrical engineering. For example, Liberal Arts majors from UT Austin earned a higher return than electrical engineering majors at UT Dallas, the University of Houston, and three other UT campuses. Thus, these more detailed facts can actually encourage students to pursue majors that look economically bad for the average student but quite attractive at a particular school with a strong program.

Figure 2. Distribution of earnings 10 years after graduation for bachelor’s degree holders with an Electrical Engineering or Liberal Arts degree, for Texas residents and 2004 graduates from Texas public colleges 

The point is that college degrees, like other investments, are risky, but information goes a long way to clarify the nature of that risk and improve the quality of investment decisions. In addition to providing students and the public greater access to data on market performance of alumni, there are a number of innovations both in the policy arena and in the private market that could help make college investments less risky. First of all, innovative financing systems that allow students to pay for their investment over a longer period of time and tie repayment to earnings would greatly limit downside risk for students.  Second, institutions have the capacity to shoulder some of this risk, and a proposal known as risk-sharing[xi] is gaining some traction and would require schools to pay the federal government some portion of loan default losses. On a voluntary basis, some colleges have offered on-time graduation guarantees[xii] and wage guarantees.[xiii] And last, new business models in higher education could help mitigate risk. Part of the problem in the current system comes from the all-or-nothing regime in which students have to invest in a bundle of coursework (i.e. a degree) in order to reap significant returns. The growing prominence of new models, like micro-credentials[xiv] and coding boot camps,[xv] can offer alternatives that don’t require students to put all of their eggs in one basket.