While significant progress has been made in terms of facilitating greater access to and use of financial services among underserved populations, barriers to financial inclusion remain. The global dialogue surrounding the financial inclusion gender gap (referring to the disproportionate exclusion of women from access to and usage of formal financial services) has intensified as key stakeholders—including financial service providers, regulatory bodies, policymakers, civil society entities, and consumers—explore how best to engage prospective women customers in ways that meet the needs of both consumers and providers situated within different market contexts.

As part of the consultation process for the second annual Brookings Financial and Digital Inclusion Project (FDIP) report and scorecard, to be published in late summer 2016, the FDIP team held a roundtable in March 2016 to facilitate dialogue and knowledge-sharing regarding the issue of gender disparities in access to and usage of formal financial services. The first FDIP report and scorecard, published in August 2015, are available here.

The roundtable provided an opportunity for participants to discuss the legal, policy, and cultural drivers of the gender gap, highlight examples of enabling approaches in countries that have made strides in reducing the gender gap, and identify action steps for governments, financial service providers, and consumers in terms of promoting greater equity within the financial landscape. Before diving into the key themes and action items explored at the roundtable, below is some background on the nature and implications of the gender gap.

What is the financial inclusion gender gap, and why does it matter?

From 2011 to 2014, the percentage of women in developing economies with formal financial accounts increased by 13 percentage points, according to the World Bank’s Global Financial Inclusion (Global Findex) database. In relative terms, these gains were comparable to those among men in developing economies during the same time period—but in absolute terms, there remains considerable room for growth, as half of women in developing economies still did not have formal financial accounts as of 2014.

While there is good reason to celebrate the tremendous gains made across the financial inclusion landscape in recent years, significant opportunity for expanding access to and usage of financial services among women remains. Globally, the financial inclusion gender gap remained at seven percentage points between 2011 and 2014, and in developing economies the gap was even higher, at nine percentage points.

The FDIP focus countries reflect this global trend. Of the 21 FDIP focus countries examined within the 2015 FDIP Report and Scorecard, only four (Indonesia, the Philippines, Mexico, and South Africa) exhibited either gender parity or a greater percentage of women than men who reported using mobile money within the previous 12 months or holding an account at a bank or another type of financial institution.

The gender gap is of course not the only global disparity in terms of access to and usage of financial services—for example, rural and low-income populations are often underserved by formal financial service providers compared with their more urban and wealthier counterparts. (You can learn more about financial inclusion among these underserved groups across different economic, political, and geographic contexts in the 2015 FDIP Report and Scorecard.) Indeed, in 2014 the gap between account ownership among the poorest 40 percent of households in developing economies and the richest 60 percent of households in developing economies was about five percentage points higher than the gender gap in developing economies.

However, as noted by the Global Findex, the global financial inclusion gender gap remained essentially static from 2011 to 2014, while the financial inclusion income gap was reduced by several percentage points. Additionally, the increase in ownership of formal accounts among the poorest 40 percent of households in developing economies was slightly higher proportionately than the increase in ownership of formal accounts among women in developing economies over the same period. In short, the gender gap is particularly noteworthy for its persistence over time and for the broad scope of the underserved population it represents.

Investing in women and girls should be a shared priority across public and private sector stakeholders given the economic and civic implications of female participation in the formal financial ecosystem. From a micro perspective, having convenient access to a suite of quality financial services enables women to invest in themselves, in their families, and in their communities by saving for the future, paying for educational and health expenses, putting money toward small businesses, and engaging in other productive financial activities. Participants at the roundtable noted that a less tangible—but no less valuable—outcome of facilitating access to and usage of formal financial services among women is the sense of empowerment many women feel when they are equipped with greater control of their finances.

For businesses, reaching an untapped segment of the market with products and services that individual customers find useful would augment providers’ revenue. From a macroeconomic perspective, women’s economic empowerment has increasingly been regarded as “contributing to sustained inclusive and equitable economic growth, and sustainable development,” as noted in a recent study by the Global Banking Alliance for Women in partnership with Data2X and the Multilateral Investment Fund of the Inter-American Development Bank.

If women’s participation in the financial ecosystem is so advantageous, why hasn’t the gender gap improved?

A number of legal, policy, and cultural restrictions have constrained access to and usage of financial services among women. A few examples of these constraints are described below; additional information on access and usage barriers is available in the 2015 FDIP Report.

• Legal, regulatory, and policy barriers: The World Bank Group’s Women, Business, and the Law project has examined data regarding legal and regulatory restrictions on entrepreneurship and employment among women since 2009. The project’s 2016 report found that about 90 percent of the 173 economies covered in the study had at least one law impeding women’s economic opportunities. For example, in some countries women are not permitted to open a bank account or are required to provide specific permission or additional documentation that is burdensome (or even impossible) to obtain. Restrictions on whether property is titled in a women’s name can also impede access to finance since titled land is often a preferred form of collateral among banks. Moreover, women are less likely than men to have the identification documents needed to open formal financial accounts. Among adults without an account at a financial institution as of 2014, 17 percent of women stated that a lack of necessary documentation was a barrier to their use of an account. Promoting a unique, universal identification system can facilitate access to formal labor markets and formal financial services.
• Cultural barriers: One example of a cultural constraint on usage of financial services among women is that many women may be more comfortable utilizing formal financial services when they can interact with a female point of contact, which is often not a readily available option.  
• Technological barriers: Digital financial services such as mobile money can help mitigate financial access barriers, in part by enabling women to more easily open accounts and to complete transactions through their phones without visiting a “brick and mortar” store. However, the gender gap in mobile phone ownership and usage must be addressed to fully take advantage of the benefits of digital financial services. The GSMA’s 2015 report noted that the most frequently cited barrier to mobile phone ownership and usage was cost, and cultural dynamics in which men prohibit women from owning or using a phone also contribute to the gap. Incongruous policies in some markets such as more stringent registration processes for SIMs and mobile money accounts than for bank accounts can also inhibit adoption of digital financial services.

What are examples of initiatives to facilitate greater financial inclusion among women?

Participants highlighted several examples of initiatives that were designed to promote women’s financial inclusion. For example, Diamond Bank in Nigeria and Women’s World Banking developed a savings product called a BETA account that could be opened over the phone with no minimum balance and no fees. The product was designed to be affordable and convenient for individuals engaging in frequent deposits, with agents visiting customers’ businesses to facilitate transactions. Other add-on products are being built around this basic product to provide more opportunities for individuals to use the financial services most useful to them. While the product was developed for women, it is available to both men and women.

Also in Nigeria, MasterCard and UN Women have partnered on an initiative that aims to educate women on the benefits of a national identification program and enroll half a million Nigerian women in this program so that they receive identification cards that include electronic payments functionality.

What can be done to advance gender equity within the financial ecosystem?

One of the central questions discussed during the roundtable was how to reconcile the sometimes diverging mandates of businesses, public sector actors, and the development community in order to foster a sustainable financial and economic ecosystem. In short, businesses must generate profits to be sustainable, while development community and public sector entities often focus on longer-term micro- and macro-economic growth and development. The challenge with these potentially competing time horizons is that initiatives involving a complex network of participants (such as those to cultivate women’s financial participation) may take time to scale. Moreover, some of the major factors contributing to the financial inclusion gender gap (such as lower financial literacy levels among women) will require a long-term approach to fully address.

The good news is that serving women customers ultimately meets the complementary objectives of benefiting providers by expanding their customer base and benefiting consumers by enabling them to use financial services to improve their lives and invest in their communities. Thus, leveraging data to present the business case to providers (see point 1 below) and promoting dialogue across public and private sector representatives (see point 2 below) will enable different players in the financial ecosystem to identify the best approaches to closing the gender gap in ways that are sustainable for consumers and providers.

While the list below is certainly not exhaustive, it highlights several pathways for promoting women’s financial inclusion.

1. Generate data to better serve customers and attract providers: While we delineate the gender gap in terms of men and women, women (like all customer segments) are not monolithic. Thus, the intent of demand- and supply-side data collection should be to inform the development and delivery of a suite of products and services that target customer segments and to make a business case for offering those products and services. Many financial institutions have historically refrained from collecting data disaggregated by sex because doing so was perceived as discriminatory and/or ineffective given the issue of duplicability in reporting. Government leadership on collecting sex-disaggregated data can help ameliorate this issue. An in-depth look at the process of collecting and analyzing sex-disaggregated data is provided in the recent case study on Chile published by the Global Banking Alliance for Women, Data2X, the Economic Commission for Latin America and the Caribbean, and the Multilateral Investment Fund of the Inter-American Development Bank.
2. Promote inward and outward-facing stakeholder collaboration: Financial service providers and non-government entities active within the financial services landscape should find champions of women’s economic empowerment within their organizations to help build strategies for reaching women customers with appropriate products and services. Representatives from both the public and private sectors should work together to facilitate dialogue and collaboration across relevant stakeholders such as telecommunications providers, formal and informal financial institutions, public sector representatives, and consumers. This objective should be reflected in countries’ national financial inclusion strategies where possible.
3. Engage in client-centric design: Providers should deploy relevant data to evaluate customers’ needs and reflect those needs in product design, provision, and promotion. By thinking about the customer experience of access and usage holistically, providers will have the potential to sustainably amplify adoption of financial services.
4. Invest in financial education and financial capability among women and girls: Many women feel that they do not have enough money to hold an account with a formal financial institution, as evidenced by the 2014 Global Findex results noting that 57 percent of women without an account at a financial institution cited having insufficient funds as a barrier to account ownership. Financial inclusion stakeholders should aim to familiarize prospective female customers with appropriate, affordable financial services and promote sound financial behaviors that will help spur greater financial inclusion.
5. Adapt anti-money laundering/countering the financing of terrorism requirements to reflect perceived risks: Enabling risk-based “know your customer” (KYC) processes such as the tiered KYC approach applied in the Diamond Bank example above or in other countries such as Mexico reduces access barriers to formal financial accounts. For more information on KYC processes among different countries, please see the 2015 FDIP Report and Scorecard.
6. Formalize informal financial entities as appropriate: According to the 2014 Global Findex, about 160 million unbanked adults in developing economies saved through informal savings clubs or a non-family member. Vetting and formalizing certain informal providers to ensure adequate consumer protection while preserving services that are familiar and accessible to customers could advance women’s financial inclusion.
7. Leverage digital financial tools to facilitate greater access to and usage of formal financial services:
• Digital platforms can help reduce disparities in access to identification documents. For example, an initiative in Tanzania allows health workers to deliver birth certificates using a mobile phone. Birth certificates facilitate access to healthcare, education, and other important government services, including government-to-person payments.
• Digital financial services such as mobile money can provide greater privacy, convenience, and security to customers who have been disproportionately excluded from the formal financial system. For more information on developing enabling infrastructure and policy environments to support mobile money access and usage, please refer to the 2015 FDIP Report.
• Using “big data” generated by and about consumers on digital platforms helps providers better evaluate the creditworthiness of individuals who may previously have been excluded from the formal financial system due to a lack of or minimal credit history. Since women often lack credit history, these innovative measures to assess credit risk and collateral issues can contribute to women’s economic empowerment by facilitating access to credit. As with all financial services, these “big data, small credit” propositions should be coupled with adequate consumer protection and privacy mechanisms.

       

       

The final months of Obama’s historic terms of office as America’s first black president are taking place against the backdrop of an ugly Republican nominating race, and to the sound of ugly language on race from Donald Trump. Progress towards racial equality is indeed proceeding in faltering steps, as the president himself made clear in a commencement speech, one of his last as president, to the graduating class of Howard University.

“America is a better place today than it was when I graduated from college,” the president said. But on the question of progress on closing the race gap, he provided some mixed messages. Much done; more to do. The president picked out some specific areas on both sides of the ledger, many of which we have looked at on these pages.

Three reasons to be cheerful

1."Americans with college degrees, that rate is up.”

The share of Americans who have completed a bachelor’s degree or higher is now at 34 percent, up from 23 percent in 1990. That’s good news in itself. But it is particularly good news for social mobility, since people born at the bottom of the income distribution who get at BA experience much more upward mobility than those who do not:

2. "We've cut teen pregnancy in half."

The teen birthrate recently hit an all-time low, with a reduction in births by 35 percent for whites, 44 percent for blacks, and 51 percent for Hispanics:

This is a real cause for celebration, as the cost of unplanned births is extremely high. Increased awareness of highly effective methods of contraception, like Long Acting Reversible Contraception (LARCs), has certainly helped with this decline. More use of LARCs will help still further.

3. "In 1983, I was part of fewer than 10 percent of African Americans who graduated with a bachelor's degree. Today, you're part of the more than 20 percent who will."

Yes, black Americans are more likely to be graduating college. And contrary to some rhetoric, black students who get into selective colleges do very well, according to work from Jonathan Rothwell:

Three worries on race gaps

But of course it’s far from all good news, as the president also made clear. 

1. "We've still got an achievement gap when black boys and girls graduate high school and college at lower rates than white boys and white girls."

The white-black gap in school readiness, measured by both reading and math scores, has not closed at the same rate as white-Hispanic gaps. And while there has been an increase in black college-going, most of this rise has been in lower-quality institutions, at least in terms of alumni earnings (one likely reason for race gaps in college debt):

2. "There are folks of all races who are still hurting—who still can’t find work that pays enough to keep the lights on, who still can’t save for retirement."

Almost a third of the population has no retirement savings. Many more have saved much less than they will need, especially lower-income households. Wealth gaps by race are extremely large, too. The median wealth of white households is now 13 times greater than for black households:

3. "Black men are about six times likelier to be in prison right now than white men."

About one-third of all black male Americans will spend part of their life in prison. Although whites and blacks use and/or sell drugs at similar rates, blacks are 3 to 4 times more likely to be arrested for doing so, and 9 times more likely to be admitted to state prisons for a drug offense. The failed war on drugs and the trend towards incarceration have been bad news for black Americans in particular:

Especially right now, it is inspiring to see a black president giving the commencement address at a historically black college. But as President Obama knows all too well, there is a very long way to go.

      

       

      

Gary Burtless, a senior fellow in Economic Studies, explains new research on the growing longevity gap between high-income and low-income Americans, especially among the aged.

“Life expectancy difference of low income workers, middle income workers, and high income workers has been increasing over time,” Burtless says. “For people born in 1920 their life expectancy was not as long typically as the life expectancy of people who were born in 1940. But those gains between those two birth years were very unequally distributed if we compare people with low mid-career earnings and people with high mid-career earnings.” Burtless also discusses retirement trends among the educated and non-educated, income inequality among different age groups, and how these trends affect early or late retirement rates.

Also stay tuned for our regular economic update with David Wessel, who also looks at the new research and offers his thoughts on what it means for Social Security.

Show Notes

Later retirement, inequality and old age, and the growing gap in longevity between rich and poor

Disparity in Life Spans of the Rich and the Poor Is Growing

Subscribe to the Brookings Cafeteria on iTunes, listen on Stitcher, and send feedback email to BCP@Brookings.edu.

      

Researchers have long known that the rich live longer than the poor. Evidence now suggests that the life expectancy gap is increasing, at least here the United States, which raises troubling questions about the fairness of current efforts to protect Social Security.

There's nothing particularly mysterious about the life expectancy gap. People in ill health, who are at risk of dying relatively young, face limits on the kind and amount of work they can do. By contrast, the rich can afford to live in better and safer neighborhoods, can eat more nutritious diets and can obtain access to first-rate healthcare. People who have higher incomes, moreover, tend to have more schooling, which means they may also have better information about the benefits of exercise and good diet.

Although none of the above should come as a surprise, it's still disturbing that, just as income inequality is growing, so is life-span inequality. Over the last three decades, Americans with a high perch in the income distribution have enjoyed outsized gains.

Using two large-scale surveys, my Brookings colleagues and I calculated the average mid-career earnings of each interviewed family; then we estimated the statistical relationship between respondents' age at death and their incomes when they were in their 40s. We found a startling spreading out of mortality differences between older people at the top and bottom of the income distribution.

For example, we estimated that a woman who turned 50 in 1970 and whose mid-career income placed her in the bottom one-tenth of earners had a life expectancy of about 80.4. A woman born in the same year but with income in the top tenth of earners had a life expectancy of 84.1. The gap in life expectancy was about 3½ years. For women who reached age 50 two decades later, in 1990, we found no improvement at all in the life expectancy of low earners. Among women in the top tenth of earners, however, life expectancy rose 6.4 years, from 84.1 to 90.5. In those two decades, the gap in life expectancy between women in the bottom tenth and the top tenth of earners increased from a little over 3½ years to more than 10 years.

Our findings for men were similar. The gap in life expectancy between men in the bottom tenth and top tenth of the income distribution increased from 5 years to 12 years over the same two decades.

Rising longevity inequality has important implications for reforming Social Security. Currently, the program takes in too little money to pay for all benefits promised after 2030. A common proposal to eliminate the funding shortfall is to increase the full retirement age, currently 66. Increasing the age for full benefits by one year has the effect of lowering workers' monthly checks by 6% to 7.5%, depending on the age when a worker first claims a pension.

For affluent workers, any benefit cut will be partially offset by gains in life expectancy. Additional years of life after age 65 increase the number years these workers collect pensions. Workers at the bottom of the wage distribution, however, are not living much longer, so the percentage cut in their lifetime pensions will be about the same as the percentage reduction in their monthly benefit check.

Our results and other researchers' findings suggest that low-income workers have not shared in the improvements in life expectancy that have contributed to Social Security's funding problem.

It therefore seems unfair to preserve Social Security by cutting future benefits across the board. Any reform in the program to keep it affordable should make special provision to protect the benefits of low-wage workers.

Editor's note: This piece originally appeared in The Los Angeles Times. 

       

The past few months have seen a flurry of reports on discouraging trends in life expectancy among some of the nation’s struggling populations. Different researchers have emphasized different groups and have tracked longevity trends over different time spans, but all have documented conspicuous differences between trends among more advantaged Americans compared with those in worse circumstances.

In a study published in April, Stanford economist Raj Chetty and his coauthors documented a striking rise in mortality rate differences between rich and poor. From 2001 to 2014, Americans who had incomes in the top 5 percent of the income distribution saw their life expectancy climb about 3 years. During the same 14-year span, people in the bottom 5 percent of the income distribution saw virtually no improvement at all.

Using different sources of information about family income and mortality, my colleagues and I found similar trends in mortality when Americans were ranked by their Social-Security-covered earnings in the middle of their careers. Over the three decades covered by our data, we found sizeable differences between the life expectancy gains enjoyed by high- and low-income Americans. For 50-year old women in the top one-tenth of the income distribution, we found that women born in 1940 could expect to live almost 6.5 years longer than women in the same position in the income distribution who were born in 1920. For 50-year old women in the bottom one-tenth of the income distribution, we found no improvement at all in life expectancy. Longevity trends among low-income men were more encouraging: Men at the bottom saw a small improvement in their life expectancy. Still, the life-expectancy gap between low-income and high-income men increased just as fast as it did between low- and high-income women.

One reason these studies should interest voters and policymakers is that they shed light on the fairness of programs that protect Americans’ living standards in old age. The new studies as well as some earlier ones show that mortality trends have tilted the returns that rich and poor contributors to Social Security can expect to obtain from their payroll tax contributions.

If life expectancy were the same for rich and poor contributors, the lifetime benefits workers could expect to receive from their contributions would depend solely on the formula that determines a worker’s monthly pensions. Social Security’s monthly benefit formula has always been heavily tilted in favor of low-wage contributors. They receive monthly checks that are a high percentage of the monthly wages they earn during their careers. In contrast, workers who earn well above-average wages collect monthly pensions that are a much lower percentage of their average career earnings.

The latest research findings suggest that growing mortality differences between rich and poor are partly or fully offsetting the redistributive tilt in Social Security’s benefit formula. Even though poorer workers still receive monthly pension checks that are a high percentage of their average career earnings, they can expect to receive benefits for a shorter period after they claim pensions compared with workers who earn higher wages. Because the gap between the life spans of rich and poor workers is increasing, affluent workers now enjoy a bigger advantage in the number of months they collect Social Security retirement benefits. This fact alone is enough to justify headlines about the growing life expectancy gap between rich and poor

There is another reason to pay attention to the longevity trends. The past 35 years have provided ample evidence the income gap between America’s rich and poor has widened. To be sure, some of the most widely cited income series overstate the extent of widening and understate the improvement in income received by middle- and low-income families. Nonetheless, the most reliable statistics show that families at the top have enjoyed faster income gains than the gains enjoyed by families in the middle and at the bottom. Income disparities have gone up fastest among working-age people who depend on wages to pay their families’ bills. Retirees have been better protected against the income and wealth losses that have hurt the living standards of less educated workers. The recent finding that life expectancy among low-income Americans has failed to improve is a compelling reason to believe the trend toward wider inequality is having profound impacts on the distribution of well-being in addition to its direct effect on family income.

Over the past century, we have become accustomed to seeing successive generations live longer than the generations that preceded them. This is not true every year, of course, nor is it always clear why the improvements in life expectancy have occurred. Still, it is reasonable to think that long-run improvements in average life spans have been linked to improvements in our income. With more money, we can afford more costly medical care, healthier diets, and better public health. Even Americans at the bottom of the income ladder have participated in these gains, as public health measures and broader access to health insurance permit them to benefit from improvements in knowledge. For the past three decades, however, improvements in average life spans at the bottom of the income distribution have been negligible. This finding suggests it is not just income that has grown starkly more unequal.

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

       

       

This week marks the release of the 2015 Brown Center Report on American Education, the fourteenth issue of the series.  One of the three studies in the report, “Girls, Boys, and Reading,” examines the gender gap in reading.  Girls consistently outscore boys on reading assessments.  They have for a long time.  A 1942 study in Iowa discovered that girls were superior to boys on tests of reading comprehension, vocabulary, and basic language skills.^[i]  Girls have outscored boys on the National Assessment of Educational Progress (NAEP) reading assessments since the first NAEP was administered in 1971. 

I hope you’ll read the full study—and the other studies in the report—but allow me to summarize the main findings of the gender gap study here.

Eight assessments generate valid estimates of U.S. national reading performance: the Main NAEP, given at three grades (fourth, eighth, and 12^th grades); the NAEP Long Term Trend (NAEP-LTT), given at three ages (ages nine, 13, and 17); the Progress in International Reading Literacy Study (PIRLS), an international assessment given at fourth grade; and the Program for International Student Assessment (PISA), an international assessment given to 15-year-olds.  Females outscore males on the most recent administration of all eight tests.  And the gaps are statistically significant.  Expressed in standard deviation units, they range from 0.13 on the NAEP-LTT at age nine to 0.34 on the PISA at age 15.

The gaps are shrinking.  At age nine, the gap on the NAEP-LTT declined from 13 scale score points in 1971 to five points in 2012.  During the same time period, the gap at age 13 shrank from 11 points to eight points, and at age 17, from 12 points to eight points.  Only the decline at age nine is statistically significant, but at ages 13 and 17, declines since the gaps peaked in the 1990s are also statistically significant.  At all three ages, gaps are shrinking because of males making larger gains on NAEP than females.  In 2012, seventeen-year-old females scored the same on the NAEP reading test as they did in 1971.  Otherwise, males and females of all ages registered gains on the NAEP reading test from 1971-2012, with males’ gains outpacing those of females.

The gap is worldwide.  On the 2012 PISA, 15-year-old females outperformed males in all sixty-five participating countries.  Surprisingly, Finland, a nation known for both equity and excellence because of its performance on PISA, evidenced the widest gap.  Girls scored 556 and boys scored 494, producing an astonishing gap of 62 points (about 0.66 standard deviations—or more than one and a half years of schooling).   Finland also had one of the world’s largest gender gaps on the 2000 PISA, and since then it has widened.  Both girls’ and boys’ reading scores declined, but boys’ declined more (26 points vs. 16 points).  To put the 2012 scores in perspective, consider that the OECD average on the reading test is 496.  Finland’s strong showing on PISA is completely dependent on the superior performance of its young women.

The gap seems to disappear by adulthood.  Tests of adult reading ability show no U.S. gender gap in reading by 25 years of age.  Scores even tilt toward men in later years. 

The words “seems to disappear” are used on purpose.  One must be careful with cross-sectional data not to assume that differences across age groups indicate an age-based trend.  A recent Gallup poll, for example, asked several different age groups how optimistic they were about finding jobs as adults.  Optimism fell from 68% in grade five to 48% in grade 12.  The authors concluded that “optimism about future job pursuits declines over time.”  The data do not support that conclusion.  The data were collected at a single point in time and cannot speak to what optimism may have been before or after that point.  Perhaps today’s 12^th graders were even more pessimistic several years ago when they were in fifth grade.  Perhaps the 12^th-graders are old enough to remember when unemployment spiked during the Great Recession and the fifth-graders are not.   Perhaps 12^th-graders are simply savvier about job prospects and the pitfalls of seeking employment, topics on which fifth-graders are basically clueless.

At least with the data cited above we can track measures of the same cohorts’ gender gap in reading over time.  By analyzing multiple cross-sections—data collected at several different points in time—we can look at real change.  Those cohorts of nine-year-olds in the 1970s, 1980s, and 1990s, are—respectively—today in their 50s, 40s, and 30s.  Girls were better readers than boys when these cohorts were children, but as grown ups, women are not appreciably better readers than men.

Care must be taken nevertheless in drawing firm conclusions.  There exists what are known as cohort effects that can bias measurements.  I mentioned the Great Recession.   Experiencing great historical cataclysms, especially war or economic chaos, may bias a particular cohort’s responses to survey questions or even its performance on tests.  American generations who experienced the Great Depression, World War II, and the Vietnam War—and more recently, the digital revolution, the Great Recession, and the Iraq War—lived through events that uniquely shape their outlook on many aspects of life. 

What Should be Done?

The gender gap is large, worldwide, and persistent through the K-12 years. What should be done about it?  Maybe nothing.  As just noted, the gap seems to dissipate by adulthood.  Moreover, crafting an effective remedy for the gender gap is made more difficult because we don’t definitely know its cause. Enjoyment of reading is a good example.  Many commentators argue that schools should make a concerted effort to get boys to enjoy reading more.  Enjoyment of reading is statistically correlated with reading performance, and the hope is that making reading more enjoyable would get boys to read more, thereby raising reading skills.

It makes sense, but I’m skeptical.  The fact that better readers enjoy reading more than poor readers—and that the relationship stands up even after boatloads of covariates are poured into a regression equation—is unpersuasive evidence of causality.  As I stated earlier, PISA produces data collected at a single point in time.  It isn’t designed to test causal theories.  Reverse causality is a profound problem.  Getting kids to enjoy reading more may in fact boost reading ability.  But the causal relationship might be flowing in the opposite direction, with enhanced skill leading to enjoyment.   The correlation could simply be indicating that people enjoy activities that they’re good at—a relationship that probably exists in sports, music, and many human endeavors, including reading.

A Key Policy Question

A key question for policymakers is whether boosting boys’ enjoyment of reading would help make boys better readers.  I investigate by analyzing national changes in PISA reading scores from 2000, when the test was first given, to 2102.  PISA creates an Index of Reading Enjoyment based on several responses to a student questionnaire.  Enjoyment of reading has increased among males in some countries and decreased in others.  Is there any relationship between changes in boys’ enjoyment and changes in PISA reading scores? 

There is not.  The correlation coefficient for the two phenomena is -0.01.  Nations such as Germany raised boys’ enjoyment of reading and increased their reading scores by about 10 points on the PISA scale.  France, on the other hand, also raised boys’ enjoyment of reading, but French males’ reading scores declined by 15 points.  Ireland increased how much boys enjoy reading by a little bit but the boys’ scores fell a whopping 37 points. Poland’s males actually enjoyed reading less in 2012 than in 2000, but their scores went up more than 14 points.  No relationship.

Some Final Thoughts

How should policymakers proceed?  Large, cross-sectional assessments are good for measuring academic performance at one point in time.  They are useful for generating hypotheses based on observed relationships, but they are not designed to confirm or reject causality.  To do that, randomized control trials should be conducted of programs purporting to boost reading enjoyment.  Also, consider that it ultimately may not matter whether enjoying reading leads to more proficient readers.  Enjoyment of reading may be an end worthy of attainment irrespective of its relationship to achievement.  In that case, RCTs should carefully evaluate the impact of interventions on both enjoyment of reading and reading achievement, whether the two are related or not.  

      

       

       

Today marks Equal Pay Day. How are we doing? We have come a long way since I wrote my doctoral dissertation on the pay gap back in the late 1960s. From earning 59 percent of what men made in 1974 to earning 79 percent in 2015 (among year-round, full-time workers), women have broken a lot of barriers. 

There is no reason why the remaining gap can’t be closed. The gap could easily move in favor of women. After all, they are now better educated than men. They earn 60 percent of all bachelor’s degrees and the majority of graduate degrees. Adjusting for educational attainment, the current earnings gap widens, with the biggest relative gaps at the highest levels of education:

If we want to encourage people to get more education, we can't discriminate against the best educated just because they are women.

What’s behind the pay gap?

One source of the current gap is the fact that women still take more time off from work to care for their families. These family responsibilities may also affect the kinds of work they choose. Harvard professor Claudia Goldin notes that they are more likely to work in occupations where it is easier to combine work and family life. These divided work-family loyalties are holding women back more than pay discrimination per se. This should change when men are more willing to share equally on the home front, as Richard Reeves and I have argued elsewhere.  

Pay gap policies: Paid leave, child care, early education

But there is much to be done while waiting for this more egalitarian world to arrive. Paid family leave and more support for early child care and education would go a long way toward relieving families, and women in particular, of the dual burden they now face. In the process, the pay gap should shrink or even move in favor of women. 

The Economic Policy Institute (EPI) has just released a very informative report on these issues. They call for an aggressive expansion of both early childhood education and child care subsidies for low and moderate income families. Specifically, they propose to cap child care expenses at 10 percent of income, which would provide an average subsidy of $3,272 to working families with children and much more than this to lower-income families. 

The EPI authors argue that child care subsidies would provide needed in-kind benefits to lower income families (check!), boost women’s labor force participation in a way that would benefit the overall economy (check!), and reduce the gender pay gap (check!). In short, childcare subsidies are a win-win-win.

Paid leave and the pay gap

For present purposes I want to focus on the likely effects on the pay gap. In the mid-1990s, the U.S. had the highest rate of female labor force participation compared to Germany, Canada, and Japan. Now we have the lowest. One reason is because other advanced countries have expanded paid leave and child care support for employed mothers while the U.S. has not:

Getting to and past parity

If we want to eliminate the pay gap and perhaps even reverse it, the primary focus must be on women’s continuing difficulties in balancing work and family life. We should certainly attend to any remaining instances of pay discrimination in the workplace, as called for in the Paycheck Fairness Act. But the biggest source of the problem is not employer discrimination; it is women’s continued double burden.

       

When Franklin Roosevelt delivered his second inaugural address on January 20, 1936 he lamented the “one-third of a nation ill-housed, ill-clad, ill-nourished.” He challenged Americans to measure their collective progress not by “whether we add more to the abundance of those who have much; [but rather] whether we provide enough for those who have too little.” In our new paper, One third of a nation: Strategies for helping working families, we ask a simple question: How are we doing?

In brief, we find that:

• The gulf in labor market income between the haves and have-nots remains wide. The median income of households in the bottom third in 2014 was $24,000, just a little more than a quarter of the median of $90,000 for the top two-thirds.
• The bottom-third households are disproportionately made up of minority adults, adults with limited educational attainment, and single parents.  
• The most important reason for the low incomes of the bottom third is a “work gap”: the fact that many are not employed at all, or work limited hours. 

The work gap

The decline in labor force participation rates has been widely documented, but the growing gulf in the work gap between the bottom third and the rest of the population is truly striking:

While the share of men who are employed in the top two-thirds has been quite stable since 1980, lower-income men’s work rates have declined by 11 percentage points. What about women?

Middle- and upper-income women have increased their work rates by 13 percentage points. This has helped maintain or even increase their family’s income. But employment rates among lower-income women have been flat, despite reforms of the welfare system and safety net designed to encourage work.

Why the lack of paid work for the bottom third?

Many on the left point to problems like low pay and lack of access to affordable childcare, and so favor a higher minimum wage and more subsidies for daycare. For many conservatives, the problem is rooted in family breakdown and a dependency-inducing safety net. They therefore champion proposals like marriage promotion programs and strict work requirements for public benefits. Most agree about the importance of education.

We model the impact of a range of such proposals, using data from the Census Bureau, specifically: higher graduation rates from high school, a tighter labor market, a higher minimum wage, and “virtual” marriages between single mothers and unattached men. In isolation, each has only modest effects. In our model, the only significant boost to income comes from employment, and in particular from assuming that all bottom-third household heads work full time:

Time to debate some more radical solutions 

It may be that the standard solutions to the problems of the bottom third, while helpful, are no longer sufficient. A debate about whether to make safety net programs such as Food Stamps and housing assistance conditional on work or training is underway. So are other solutions such as subsidized jobs (created by some states during the Great Recession as a natural complement to a work-conditioned safety net), more work sharing (used in Germany during the recession), or even a universal basic income (being considered by Swiss voters in June).

       

Today on Toothpaste For Dinner: the gun gender gap