The mobile economy in China and India has grown by leaps and bounds over the past decade. Mobile technology has the potential to shrink the broadband gap, improve financial inclusion, and support humanitarian efforts. A recent report from the Boston Consulting Group adds another interesting perspective into the existing conversation about the impact of mobile technologies. India appears poised to eschew building up its fixed broadband infrastructure and jump directly to mobile. Small and medium-sized enterprises (SMEs) in India appeared poised to take advantage of this amazing change.

Mobile innovation lower costs and improve performance

Source: Boston Consulting Group

Maximum download speeds have risen greatly when comparing second generation networks with current fourth generation technology. 2G networks were capable of reaching 20 kilobits per second and 4G technologies can reach 250 megabits per second, which is about 12,000 times faster. At the same time the actual cost of network infrastructure per megabyte is falling dramatically: a 95 percent decrease from 2G to 3G and 67 percent decrease from 3G to 4G. Subsequently, the consumer cost of data per megabyte decreased sharply. From 2005 to 2013, the average cost of a mobile subscription relative to the maximum data speed dropped about 40 percent each year or 99 percent in an 8 year period. Higher speeds and lower costs make mobile a viable development platform for SMEs. In America this had led to the growth of the app economy. In India this effect is even more pronounced.

Widespread use of mobile technologies fuels the leap

In 2013 India reached 900 million mobile connections and became the second largest market in terms of mobile connections and unique subscribers. Indians spend 45 percent of their incomes on mobile technologies and platforms whereas Americans only spend 11 percent.

Source: World Bank Indicators

For the average Indian, mobile is the only point-of-entry to the Internet. Mobile devices are much more common than computers. The PC penetration rate in India of 5 percent stands in stark contrast to the 75 percent rate for mobile devices. Rates of fixed broadband Internet usage increased at a snails pace in India and at the same time mobile cellular subscriptions soared. More and more people in India are choosing to access Internet solely through mobile devices. Currently about 34 percent of people in India access the Internet exclusively from mobile devices. Flipkart an Indian e-commerce company predicts that 75 to 80 percent of their customer’s traffic will come on mobile platforms. The proliferation of mobile technologies in India provides incentives for SMEs to focus on developing mobile oriented business models.

Existing mobile focused SMEs lead the leap

SMEs in India place a greater emphasis on mobile platforms compared to companies in other countries. About 25 to 35 percent of surveyed SMEs in India are identified as mobile leaders, firms that use mobile productivity tools, operational tools (real-time job tracking or mobile data analytics) and sales and marketing tools. In developed countries such as Germany, only 14 percent of the surveyed SMEs are mobile leaders. Further, mobile oriented SMEs are thriving in India in a variety of fields. India’s largest E-commerce marketplace Flipkart Sidesteps has seen its traffic grow twice as face on mobile when compared with PC. Anti-violence apps such as FightBack and mobile health initiatives such as Swasthya Samvedana Sena are also experiencing great success.

India is in the midst of a mobile revolution that is categorically different than other parts of the world. Without existing complex legacy systems, businesses in India are now in the unique position to leapfrog terrestrial Internet technologies and reap the full benefits of a truly mobile economy.

Yikun Chi contributed to this post

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During the height of the Ebola crisis in September 2014 there were 21 confirmed cases of the virus and 8 deaths in Nigeria. The African nation has the continent’s largest population, a high poverty rate, and the government spends relatively little on health care. At the time many were worried about a scenario where the virus spread throughout Nigeria. But, the Nigerian Minister of Health Onyebuchi Chukwu disagreed with that assessment. He commented to Forbes, “Nigeria will be as clean as any other country as far as Ebola virus disease is concerned.” His comments were proven to be accurate in the coming months. There were a variety of factors that contributed to Nigeria’s success at combating the disease. One important factor was the use of mobile electronic health records programs.

How mobile fights disease

1. Training Healthcare Workers

Training health care providers was a priority at the beginning of the Ebola outbreak. A survey found that 85 percent of health care workers in the country believed you could avoid Ebola by abstaining from handshakes or touching. Correcting these myths about the disease was a critical part of the response effort, especially for health care workers.

2. Rapid Deployment

One of the virtues of mHealth is its speed and flexibility. Mobile allows officials to quickly disseminate the latest information to front line health care workers. Increasing the speed of communication is a general boon to any large public health response.

3. Virtual Records

Ebola Treatment Units (ETU) greatly benefitted from using digital rather than paper records. Paper records cannot be removed from an ETU. Deborah Theobald co-founder of Vecna Technologies that created the mHealth platform in Nigeria has pointed out that, “If the patient is isolated, so is their paperwork”. Electronic records are easy to share and also lower the risk of infection for health care workers.

Mobile health policy challenges

Despite the potential benefits of mHealth, barriers in some countries prevent the full positive impact of these technologies from coming into effect. Many developing nations lack the electrical infrastructure that is necessary to power mobile devices. Health care regulations are often too overly bureaucratic and burdensome. This makes it difficult for innovators to develop and equip workers with mobile tools and applications. It often takes an emergency situation like the Ebola crisis to make substantive changes. Success in the long term is only possible if leaders create an environment that is more hospitable to mHealth.

Mobile interventions have also demonstrated potential to address important public health issues. Recently experts gathered at the Brookings Institution to discuss how mHealth can improve health outcomes. Apps like Mobile Midwife and Text4Baby can encourage healthy pregnancies by providing valuable tips to expecting mothers. Mobile health platforms are successful because they directly inform caregivers. The proliferation of mobile phones through the developing world presents a health opportunity to communicate with the people who need help.

Event Information

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)

Event Materials

• 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.

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

Downloads

• Download the paper

La monnaie électronique a émergé dans les pays de l'Union Economique et Monétaire Ouest Africaine, à la faveur de l'adoption, en 2006, d'une Instruction de la Banque Centrale, instaurant un cadre réglementaire souple et incitatif pour l’exercice de cette activité. L'implication des opérateurs de télécommunications dans l'offre de services financiers basés sur la téléphonie mobile a donné,  dès 2009, une nouvelle dimension à cette activité par l'accroissement du nombre des utilisateurs et des volumes de transactions.

Une activité en expansion

A fin septembre 2015, 22 millions de personnes, soit près d'un quart de la population de l'Union, ont souscrit à des services financiers via la téléphonie mobile. Environ 30% de ces abonnés réalisent au moins une opération sur une période de 90 jours.

Près de 500 millions de transactions ont été aussi réalisées au cours des neuf premiers mois de l'année 2015. La valeur cumulée des transactions atteint 5000 milliards de FCFA (8,5 milliards USD) à fin septembre 2015. De septembre 2013 à septembre 2014, cette valeur est passée de 1000 milliards à 2068 milliards de F CFA, soit une hausse de 107%.

Le réseau de distribution des services financiers via la téléphonie mobile suit également cette tendance haussière, en passant de 93 621 points de services en 2014 à plus de 132 658 points de services à fin septembre 2015.

Source: BCEAO

Le contexte socioéconomique de l'Union explique pour une large part, le succès des services de paiement via la téléphonie mobile. En effet, ce mode de prestation des services de transfert ou de paiement se révèle particulièrement adapté pour les personnes n'ayant pas accès au système bancaire classique, tout en offrant l'opportunité à des institutions non bancaires, en contrepartie de dépôt d'espèces, de mettre à la disposition des usagers une monnaie autre que fiduciaire, dont l'encours leur permet d'effectuer des transactions financières diverses.

L'implication croissante des opérateurs de télécommunications

Les partenariats entre les banques et les opérateurs de télécommunications occupent une place dominante sur le marché. En fin 2015, sur les 33 émetteurs de monnaie électronique sous licence, 25 appartenaient aux dits partenariats.

Au titre du modèle non bancaire, sept acteurs non bancaires ont été agréés pour émettre la monnaie électronique en qualité d'Etablissement de Monnaie Electronique (EME).[1]

Source: BCEAO

Un cadre réglementaire rénové

A la faveur de l'expansion des services financiers via la téléphonie mobile et de l'implication croissante des opérateurs de télécommunication, la Banque Centrale a rénové son cadre réglementaire afin de renforcer la sécurité et la qualité des services de paiement adossés à la monnaie électronique. Les principaux axes d'amélioration portent sur:

• une responsabilisation accrue des émetteurs en clarifiant leurs rôles dans les partenariats avec des prestataires techniques. Ainsi, les activités de prestataire technique sont limitées, sous la responsabilité de l'émetteur, au traitement technique de la monnaie électronique ou à sa distribution. De même, les émetteurs demeurent responsables, de l’intégrité, de la fiabilité, de la sécurité, de la confidentialité et de la traçabilité des transactions réalisées par chacun de leurs distributeurs;


• une stimulation de la concurrence par la transparence de la tarification avec l'obligation faite aux émetteurs de publier leurs tarifs;


• la formulation d'exigences spécifiques en matière de gouvernance et de contrôles interne et externe pour les établissements de monnaie électronique, en exigeant l'honorabilité des dirigeants, le respect du secret professionnel et des audits réguliers des infrastructures;


• une protection accrue des détenteurs de monnaie électronique avec d'une part, le cantonnement des fonds dans  des comptes dédiés, et l'exigence d'une équivalence continue entre l'encours de monnaie électronique et les soldes des comptes de cantonnement et d'autre part, l'obligation de la mise en place d'un mécanisme de recueil et de traitement des réclamations des porteurs de monnaie électronique;


• le renforcement du dispositif de supervision, par la réduction des délais de reporting des activités des émetteurs à la Banque Centrale, et l'adoption de sanctions pour les infractions aux dispositions réglementaires.

L'offre de services financiers via la téléphonie mobile

L'offre de services financiers via la téléphonie mobile comprend trois catégories de services. Il s'agit des services qui impliquent l'usage des espèces (monnaie fiduciaire), de ceux qui sont effectués en monnaie électronique et des services dits de « deuxième génération ».

Le premier type de services concerne essentiellement les dépôts d'espèces ou rechargements de porte-monnaies électroniques, ainsi que les retraits. Ils représentent 24% des transactions effectuées par les utilisateurs. Les dépôts d'espèces sont prédominants et permettent aux clients d'approvisionner leurs comptes de monnaie électronique.

La monnaie électronique rechargée est utilisée à hauteur de 76%, prioritairement pour les achats de crédit téléphonique, les paiements de factures, l'exécution de transferts de personne à personne, de personne à entreprise et aux Administrations publiques. Les principaux services de paiement dans l'UEMOA sont liés au règlement des factures relatives à la consommation d'eau, d'électricité, l'abonnement à des chaînes de télévision satellitaires, l'achat de marchandises dans les grandes surfaces ou de carburant dans les stations-service.

Des paiements d'impôts et taxes auprès des Administrations publiques et le remboursement des échéances de microcrédit sont également effectués, mais de façon très marginale.

Dans l'UEMOA les services dits de « deuxième génération », à savoir la micro-assurance, la micro-épargne et le micro-crédit, font leur apparition. Leur développement pourrait constituer une opportunité de bancarisation des utilisateurs de ces services.

Enfin, un début d'interopérabilité est mis en œuvre sur la base de conventions bilatérales entre les acteurs, notamment en vue d’offrir des services de paiement transfrontaliers entre les Etats membres de l'Union.

Les défis à relever

L'examen de l’évolution des services financiers via la téléphonie mobile dans l'UEMOA fait ressortir quelques obstacles à un développement plus rapide de ces services financiers au sein de l'UEMOA. Il s'agit de:

• la faiblesse du taux d'utilisateurs actifs, en raison du coût élevé des services;
• la méconnaissance des services, du fait d'une éducation financière insuffisante;
• la faible digitalisation des circuits de paiement des Administrations publiques;
• l'insuffisance des partenariats entre les émetteurs bancaires et non-bancaires pour le développement d'une offre de services plus inclusifs, dits de « seconde génération »

En collaboration avec toutes les parties prenantes, la Banque Centrale a développé une stratégie d’inclusion financière visant à améliorer l’accès et l’utilisation de divers services financiers personnalisés et aux prix abordables. La mise en place de ces actions, comme décrite dans la stratégie d’inclusion financière conçue par la BCEAO, devrait résoudre les défis mentionnés ci-dessus.

Lire en anglais »

[1] EME: toute personne morale, autre que les banques, les établissements financiers de paiement, les systèmes financiers décentralisés, habilitée à émettre des moyens de paiement sous forme de monnaie électronique et dont les activités se limitent à l'émission et la distribution de monnaie électronique.

Electronic money, or e-money, emerged in the countries of the West African Economic and Monetary Union (WAEMU) following the adoption, in 2006, of a Central Bank Instruction establishing a flexible regulatory framework aimed at encouraging e-money business. The activity expanded in 2009 with the involvement of telecommunications operators in the provision of mobile telephone-based financial services, which increased the number of users and the volume of transactions.

A growing business

At the end of September 2015, 22 million people, or nearly a quarter of the people in the union, subscribed to financial services via mobile phone. Approximately 30 percent of those subscribers carried out at least one transaction per 90-day period.

Some 500 million transactions took place over the first nine months of 2015. The cumulative value of the transactions was 5 trillion CFA francs ($8.5 billion) by the end of September 2015, a growth of 142 percent from September 2014. Between September 2013 and September 2014, this value grew from CFA 1 trillion to CFA 2.068 trillion, an increase of 107 percent.

The mobile phone financial services distribution network followed a similar upward trend, rising from 93,621 points of services in 2014 to more than 132,658 at the end of September 2015.

Figure 1. Trends in the value of transactions

The socioeconomic environment in the union goes a long way to explaining the success of mobile telephone payment services. Indeed, this method of providing money transfer or payment services is particularly well suited to people who lack access to the mainstream banking system, and also affords non-bank institutions the opportunity to offer users non-cash money against cash deposits, which can then be used for a variety of financial transactions.

The growing involvement of telecommunications operators

The market is increasingly dominated by partnerships between banks and telecommunications operators, which represented 25 of the 33 licensed or authorized e-money issuers at the end of December 2015. In the framework of this model, known as the bank model, the bank has responsibility for issuing the e-money.

The other seven non-bank institutions, under the non-bank model, are authorized to issue electronic money as “Electronic Money Institutions” (EMIs) [1].

In WAEMU, e-money issuers are supported by a regulatory framework that was revised in 2015 to ensure increased security and quality of payment services backed by electronic money.

Figure 2. E-money issuers in WAEMU

Note: DFS denotes microfinance institutions.

A revised regulatory framework

With the expansion of mobile phone financial services and the growing involvement of telecommunications operators, the Central Bank has revised its regulatory framework with the aim of enhancing the security and quality of payment services backed by electronic money. The most salient improvements must focus on:

• Increasing issuer accountability by clarifying users’ roles in partnerships with technical service providers. With this goal in mind, the activities of technical service providers have been restricted to technical processing or the distribution of e-money under the responsibility of the issuer. In addition, issuers are responsible for the integrity, reliability, security, confidentiality, and traceability of all transactions carried out by all of their distributors; Stimulating competition through transparent pricing with an obligation for issuers to publish their rates;


• Specific requirements in terms of governance and internal and external audits for electronic money institutions, standards of integrity on the part of the management, professional secrecy and regular infrastructure audits;


• Increased protection for bearers of electronic money, including keeping funds in dedicated accounts, requiring a constant equivalence between the amount of e-money and the balances in the dedicated accounts, and mandatory creation of a mechanism to take in and deal with complaints by bearers of electronic money;


• Reinforcement of the supervisory mechanism by reducing deadlines for reporting on issuers’ activities to the Central Bank and adopting sanctions for violations of regulatory provisions.

Provision of mobile-phone-based financial services

Mobile-phone-based financial services provided in WAEMU include three categories of services, namely services involving the use of cash (banknotes and coins), e-money services, and so-called “second generation” services.

The first type of service essentially involves deposits of cash or refilling of electronic wallets, as well as withdrawals. This type of service represents 24 percent of user transactions. Cash deposits predominate; they allow customers to provision their electronic money accounts.

Seventy-six percent of the funds deposited into e-money accounts are used, above all, for purchases of telephone credit, payment of bills, person-to-person money transfers, and money transfers from individuals to businesses and from individuals to government agencies. The main payment services found in WAEMU pertain to payment of water or electricity bills, payment of satellite television subscriptions, and purchases of goods in supermarkets or fuel at service stations.

Payments of taxes or income taxes to government agencies and payments of micro-loan installments are also made through mobile phone financial services, but are much less common.

So-called “second generation” services, namely micro-insurance, micro-savings, and micro-credit, are currently emerging in WAEMU. Their development could be an opportunity to provide access to the banking system for the users of the services.

Finally, interoperability is just beginning to be implemented based on bilateral agreements between stakeholders, particularly with a view to offering cross-border payment services between member states of the union.

Challenges

A review of the development of mobile phone financial services in WAEMU reveals some obstacles to the rapid development of this type of financial service within WAEMU. They include:

• a low number of active users, due to the high cost of the services;
• the fact that the services are not well known due to inadequate financial education;
• the low rate of digitization of government agencies’ payment systems; and
• insufficient partnerships between bank and non-bank issuers with a view to developing a more inclusive range of “second-generation” services.

In collaboration with all stakeholders, the Central Bank has developed a financial inclusion strategy to continuously improve, access to and use of diverse, tailored and affordable financial services. The implementation of these actions as described in the Central Bank of West African States (BCEAO) financial inclusion strategy should support the challenges mentioned above.

Read in French »

[1] EMI: any legal entity, other than a bank, financial payment institution, or decentralized financial system, that is authorized to issue payment instruments in the form of electronic money and whose business activities are restricted to electronic money issuing and distribution.

MEDIA RELEASE

Low-Income Boys in Higher Inequality Areas Drop Out of School More Often than Low-Income Boys in Lower Inequality Areas, Limiting Social Mobility, New Brookings Paper Finds
“Economic despair” may contribute if those at the bottom do not believe they have the ability to achieve middle class status

Greater income gaps between those at the bottom and middle of the income distribution lead low-income boys to drop out of high school more often than their counterparts in lower inequality areas, suggesting that there is an important link between income inequality and reduced rates of upward mobility, according to a new paper presented today at the Brookings Panel on Activity. The finding has implications for social policy, implying a need for interventions that focus on bolstering low-income adolescents' perceptions of what they could achieve in life.

In “Income Inequality, Social Mobility, and the Decision to Drop Out Of High School,” Brookings Nonresident Senior Fellow and University of Maryland economics professor Melissa S. Kearney and Wellesley economics professor Phillip B. Levine propose a channel through which income inequality might lead to less upward mobility—often assumed to be the case but not yet fully proven. The conventional thinking among economists is that income inequality provides incentives for individuals to invest more in order to achieve the higher income position in society, but Kearney and Levine observe that if low-income youth view middle-class life as out of reach, they might decide to invest less in their own economic future.

See an interactive map of inequality by state, plus more findings »

The authors focus on income inequality in the lower half of the income distribution, as measured by income gaps between the 10th and 50th percentiles of the income distribution rather than income gaps between the the top and bottom of the income distribution, which has been more of a focus in popular culture. They show this "lower-tail" inequality is more relevant to the lives of poor youth because the middle is a more realistic ambition. Furthermore, their research could reconcile a puzzle: social mobility does not appear to be falling, despite the rise in income inequality. But, as Kearney and Levine point out, U.S. income inequality has been rising because the top of the distribution has been pulling away from the middle, not because the bottom is falling farther behind the middle.

The authors look specifically at high school drop-out rates through a geographic lens, noting the link between highly variable rates of high school completion and income inequality across the country. One-quarter or more of those who start high school in the higher inequality states of Louisiana, Mississippi, Georgia, and the District Columbia fail to graduate in a four-year period, as compared to only around 10 percent in Vermont, Wisconsin, North Dakota, and Nebraska—lower inequality states. Their econometric analysis goes on to show that low-income youth—boys in particular—are 4.1 percentage points more likely to drop out of high school by age 20 if they live in a high-inequality location relative to those who live in a low-inequality location.

Kearney and Levine examine a number of potential explanations for this link, including differences in educational inputs, poverty rates, demographic composition, and other factors. Ultimately, the evidence suggests that there is something specific about areas with greater income gaps that lead low-income boys there to drop out of school at higher rates than low-income boys elsewhere. The authors' research suggests that adolescents make educational decisions based on their perceived returns to investing in their educational development: a greater distance to climb to get to the middle of the income distribution could lead to a sense that economic success is unlikely—what they term “economic despair.”

"Income inequality can negatively affect the perceived returns to investment in education from the perspective of an economically disadvantaged adolescent,” they write. “Perceptions beget perceptions."

Digging into reasons students themselves give for dropping out, they find that low-income students from more unequal places are more likely to give up on their educational pursuits. Surprisingly, survey evidence shows that academic performance does not have as large an impact on low-income students in high inequality states: 51 percent of dropouts in the least unequal states reported that they dropped out because they were performing poorly, as compared to only 21 percent of students who dropped out in the most unequal states.

The finding suggests that economic despair could play an important role: if a student perceives a lower benefit to remaining in school, then he or she will choose to drop out at a lower threshold of academic difficulty. They also note that while the wage premium of completing high school should reduce the dropout rate, household income inequality has an offsetting negative effect.

The choice between staying in school and dropping out may reflect actual or perceived differences from the benefits of graduating. For instance, the authors note their past research showing that youth from low-income households who grow up in high lower-tail inequality states face lifetime incomes that are over 30 percent lower than similar children in lower inequality states. They also highlight other research showing that the overwhelming majority of 9th graders aspire to go to college, but by 11th grade, low-SES students are substantially less likely to expect they will enroll in college, even among those students with high test scores.

"There are important policy implications for what types of programs are needed to improve the economic trajectory of children from low-SES backgrounds," they write. "Successful interventions would focus on giving low income youth reasons to believe they have the opportunity to succeed. Such interventions could focus on expanded opportunities that would improve the actual return to staying in school, but they could also focus on improving perceptions by giving low-income students a reason to believe they can be the "college-going type." For example, interventions might take the form of mentoring programs that connect youth with successful adult mentors and school and community programs that focus on establishing high expectations and providing pathways to graduation. They could also take the form of early-childhood parenting programs that work with parents to create more nurturing home environments to build self-esteem and engender positive behaviors."

Read the full paper from Kearney and Levine here »

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• Download the full paper

Video

• How “economic despair” affects high school graduation rates for America’s poorest students

Ryan’s EITC is pro-mobility… but funding it may not be

Paul Ryan seems to be thinking seriously about the issues of poverty and social mobility. He is a reformer as well as an authentic conservative.

While his willingness to embrace EITC expansion is welcome, his proposed funding methods raise serious questions. Paying for anti-poverty programs by cutting anti-poverty programs runs the risk of being self-defeating. No doubt some of them are not working as intended. But reform is the answer, rather than abolition. Many of these programs help those in the deepest poverty - who in many cases are those least likely to benefit from welfare-to-work policies such as the EITC, according to recent research from the Center for Budget and Policy Priorities and from the National Poverty Center. 

Ryan's package is worthy of serious attention, not least from the perspective of social mobility. It is important, however, not to consider the impact of the EITC expansion alone, but also how - and by whom- it will be paid for. 

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Advances in mobile technology have transformed the global marketplace, especially in emerging economies. How has mobile technology changed economic progress in emerging economies? Who has benefited and why? How can emerging economies further take advantage of the mobile revolution to propel growth? Which challenges and decisions do policymakers currently face?

On December 10, the Center for Technology Innovation hosted an event to discuss mobile technology’s role and potential future in developing economies as part of the ongoing Mobile Economy Project event series. A panel of experts discussed what is needed to ensure that emerging mobile economies continue to grow, and how intellectual property, spectrum policy, and public policies contribute to sector development.

Join the conversation on Twitter using #TechCTI

Audio

• Mobile Technology’s Impact on Emerging Economies and Global Opportunity

Transcript

• Transcript (.pdf)

Event Materials

• 20141210_mobile_technology_transcript

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

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

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

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

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

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

On the One Hand…

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

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

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

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

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

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

The Geography of Opportunity

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

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

Models of Mobility

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

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

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

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

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

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

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

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

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

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

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

What Now?

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

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

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

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

We can be sure that the 2016 presidential candidates, whoever they are, will be in favor of promoting opportunity and cutting poverty. The question is: how? In our contribution to a new volume published today, “Campaign 2016: Eight big issues the presidential candidates should address,” we show that people who clear three hurdles—graduating high school, working full-time, and delaying parenthood until they in a stable, two-parent family—are very much more likely to climb to middle class than fall into poverty:

But what specific policies would help people achieve these three benchmarks of success?  Our paper contains a number of ideas that candidates might want to adopt. Here are a few examples: 

1. To improve high school graduation rates, expand “Small Schools of Choice,” a program in New York City, which replaced large, existing schools with more numerous, smaller schools that had a theme or focus (like STEM or the arts). The program increased graduation rates by about 10 percentage points and also led to higher college enrollment with no increase in costs.

2. To support work, make the Child and Dependent Care Tax Credit (CDCTC) refundable and cap it at $100,000 in household income. Because the credit is currently non-refundable, low-income families receive little or no benefit, while those with incomes above $100,000 receive generous tax deductions. This proposal would make the program more equitable and facilitate low-income parents’ labor force participation, at no additional cost.

3. To strengthen families, make the most effective forms of birth control (IUDs and implants) more widely available at no cost to women, along with good counselling and a choice of all FDA-approved methods. Programs that have done this in selected cities and states have reduced unplanned pregnancies, saved money, and given women better ability to delay parenthood until they and their partners are ready to be parents. Delayed childbearing reduces poverty rates and leads to better prospects for the children in these families.

These are just a few examples of good ideas, based on the evidence, of what a candidate might want to propose and implement if elected. Additional ideas and analysis will be found in our longer paper on this topic.

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

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

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

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

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

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

On the One Hand…

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

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

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

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

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

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

The Geography of Opportunity

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

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

Models of Mobility

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

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

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

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

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

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

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

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

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

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

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

What Now?

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

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

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

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