The Girls’ Education Imperative

In 1948, the world’s nations came together and agreed that “everyone has a right to education,” boys and girls and rich and poor alike. This vision set forth in the Universal Declaration of Human Rights has been reinforced over the decades and today the girls who still fight to be educated are not cases for charity but actively pursuing what is rightfully theirs. In recent years, girls’ education has also received attention because, in the words of the United Nations, “education is not only a right but a passport to human development.” Evidence has been mounting on the pivotal role that educating a girl or a woman plays in improving health, social, and economic outcomes, not only for herself but her children, family, and community. Educating girls helps improve health: one study published in The Lancet, the world’s leading medical journal, found that increasing girls’ education was responsible for more than half of the reduction in child mortality between 1970 and 2009. The economic benefits are clear: former chief economist at the World Bank and United States Secretary of the Treasury Lawrence Summers concluded that girls’ education “may well be the highest-return investment available in the developing world” due to the benefits women, their families and societies reap. And because women make up a large share of the world’s farmers, improvements in girls’ education also lead to increased agricultural output and productivity.

Progress in Girls’ Education

Given the importance of girls’ education, for girls’ own dignity and rights and for a broad sweep of development outcomes, it is no surprise that global agendas have focused heavily on it. For more than two decades, girls’ education has been recognized as a global priority and incorporated into development targets, which has rallied governments, nongovernmental organizations (NGOs), foundations and international organizations. From the 1990 Education for All (EFA) Goals to the 1995 Fourth World Conference on Women in Beijing and to the 2000 Millennium Development Goals (MDGs), girls’ education has been a priority, particularly in international development communities. Perhaps the most influential of these has been the MDGs, which reinforce parts of the EFA goals by focusing two of their eight goals on education, namely on achieving universal primary education and achieving gender parity in both primary and secondary school.

Progress in enrolling children, especially girls, into primary school is seen by many as a development success story. Indeed there is much to celebrate. Since 1990, the number of girls in low-income countries enrolling in primary school has increased two-and-a-half times, from 23.6 million to nearly 63 million in 2012. This has translated into a large increase in the girl-boy ratio in low-income countries, from 82 to 95 girls per 100 boys in primary school. For low- and lower-middle-income countries combined, the number of girls enrolled reached over 200 million girls in 2012, an almost 80 percent increase, and globally two-thirds of countries have near-equal numbers of boys and girls enrolled at the primary level. 

In 1990, in South and West Asia, there were only 74 girls enrolled in primary school for every 100 boys, but by 2012 the region had achieved equal numbers of boys and girls in school.

This progress was largely made by the leadership of developing country governments that prioritized expansion of primary schooling opportunities and by the global community’s support of governments focused on reaching the MDGs. Some of the biggest gains have been in regions struggling the most. In 1990, in South and West Asia, there were only 74 girls enrolled in primary school for every 100 boys, but by 2012 the region had achieved equal numbers of boys and girls in school. Similarly, sub-Saharan Africa, which had the lowest levels of girls in school in 1990, has experienced marked improvement, with the girl-boy ratio increasing from 83 to 92 girls per 100 boys in primary school.

The focus on getting girls into school has helped close gender gaps in relation to other factors too, such as wealth and location of residence. The fact that family income and urban or rural locality are now the most likely indicators of school enrollment is a big victory for girls’ education. The World Inequality Database on Education (WIDE) shows that in India, for example, 38 percent of girls and 25 percent of boys of primary school age were not in school in 1992. By 2005, that gap had narrowed to 24 percent of girls and 22 percent of boys. However, today the gap between the richest and poorest children’s attendance is much starker—37 percent of children from the poorest 20 percent of families versus just 11 percent of the richest 20 percent are out of school. And in many areas, girls actually outpace boys, especially at higher levels of education. In one third of countries, there are now more girls than boys enrolled in secondary school. Also, girls often do better once in school, with boys making up 75 percent of grade-repeaters in primary school.

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Editor's note: This article is part of a series marking International Women's Day, on March 8, 2016. Read the latest from Global scholars on bridging the gender inequality gap, women’s well-being, and gender-sensitive policies in sub-Saharan Africa. 

This Tuesday, March 8, marks the first International Women’s Day since world leaders agreed last September to launch the Sustainable Development Goals (SDGs) for 2030. A more rounded conception of gender equality marks one of the SDGs’ most important improvements compared to their predecessor Millennium Development Goals (MDGs). Two SDG targets help to illustrate the broadening geopolitical recognition of the challenges. They also help to underscore how much progress is still required.

The inclusion of SDG target 5.3 adds one of the most important new priorities to the global policy agenda: to “eliminate all harmful practices, such as child, early and forced marriage, and female genital mutilation.” Until only a few years ago, the child marriage portion of this target had received only scant international attention. The driving force advancing the issue has been Girls Not Brides, a fast-gelling coalition that now includes more than 550 civil society organizations from over 70 countries. The initiative was first spearheaded by Mabel van Oranje, the dynamic international policy entrepreneur.

At a practical level, ending child marriage faces at least two major challenges. First, it is largescale. Every year, an estimated 15 million girls around the world are married before the age of 18. Second, it is highly complex. There are no simple solutions to addressing cultural practices with deep roots. Impressively, Girls Not Brides has already published a thoughtful theory of change to inform policy conversations, accompanied by a menu of recommended indicators for measuring progress. Regardless of whether this specific theory turns out to be correct, the coalition deserves significant credit for advancing public discussions toward practical action and outcomes. One can only hope that every constituency that lobbied for an SDG target presents similarly considered proposals soon. The advocates for ending child marriage have already registered some early gains. In 2015, four countries raised the age of marriage to 18: Chad, Guatemala, Ireland, and Malawi.

The SDGs are also carrying forward the previous MDG priority of maternal health. Target 3.1 aims as follows: “By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live births.” Formally this falls under Goal 3 for health and wellbeing, but it certainly represents a gender equality objective too. Part of that is by definition; mothers are female. Part of it is driven by the need to overcome gender bias; male decision-makers at all levels might overlook key health issues with which they have no direct personal experience.

As of the early 2000s, maternal mortality was too often considered a topic only for specialist discussions. One of the MDG movement’s most important contributions was to elevate the issue to the center stage of global policy. For example, former Canadian Prime Minister Stephen Harper made it a centerpiece among his own foreign policy priorities, including at the G-8 Muskoka summit he hosted in 2010.

Figure 1 shows an initial estimate of the gains across developing countries since 2000, as measured by maternal mortality ratios (MMR). The solid line indicates the actual rate of progress. The dotted lines indicate how things would have looked if previous pre-MDG trends had continued as of 1990-2000 and 1996-2001, respectively. (This is the same basic counterfactual methodology I have previously used for child mortality trends here and here, noting that maternal mortality data remain considerably less precise and subject to ongoing updates in estimation.)

The graph shows that developing countries’ average MMR dropped from approximately 424 deaths per 100,000 live births in 1990, down to 364 in 2000, and further to 233 in 2015. That works out to a 36 percent decline over the past 15 years alone, driven by acceleration in progress during the mid-2000s. Importantly, the value in 2015 was also at least 12 percent lower than it would have been under pre-MDG rates of progress—287 under 1990-2000 trends and 266 under 1996-2001 trends.

Figure 1: Developing country progress on maternal mortality, 1990-2015

Whereas the MDGs focused on developing countries, the SDGs apply universally to all countries. In that spirit, and slightly different from the previous graph, Figure 2 shows an estimate of the current global MMR trajectory for 2030, extrapolating the rates of progress from 2005 to 2015. Drawing from available data for 174 countries with a current population of 200,000 or more, the world’s MMR is on course to drop from approximately 216 in 2015 to 163 in 2030. This would mark a 25 percent improvement, but falls far short of the global MMR target of 70. (These calculations follow a similar methodology to my assessment last year of under-5 mortality trajectories.)

Figure 2: Global maternal mortality - current trajectory to 2030

Although the SDG for maternal mortality is set at a global level (unlike the country-level target 3.2 for child mortality), it is worth assessing how many individual countries are trailing the MMR benchmark of 70. The geographic nature of the global challenge is underscored in Figure 3. It lists the number of countries with MMR above 70 across the respective years 2000, 2015, and—on current trajectory—2030. As of 2000, 90 countries still had MMRs greater than 70. By 2015, this was down to 77 countries. By 2030, on current rates of progress, the relevant figure drops only slightly to 68 countries.

Most notably, the figure for sub-Saharan Africa remains unchanged between 2015 and 2030, at 44 countries, even though most of the region is already experiencing major mortality declines. Rwanda, for example, saw its MMR plummet from 1,020 in 2000 to 290 by 2015. It is on track to reach 106 by 2030. Meanwhile, Sierra Leone saw a decline from 2,650 in 2000 to 1,360 in 2015, on a path toward 768 in 2030. The challenge is not a lack of progress. Instead, it is simply that these countries have huge ground to cover to reach the ambitious goal. On current trajectory, 11 African countries are on course to have MMRs of 500 or greater in 2030.

Figure 3: Scoping progress on SDG 3.1

Number of countries with maternal mortality ratios > 70

Women and girls deserve more

Although these two targets for child marriage and maternal mortality embody only a small portion of the SDGs’ broader gender equality imperatives, they reflect crucial aspects of the overall challenge. On the positive side, they provide inspiration for the ways in which long-overlooked issues can rapidly gain political and policy traction. But they also underscore the scale of the task ahead. The global challenges of gender inequality—ranging from discrimination to violence against women to inequalities of opportunity—all require dramatic accelerations in progress. On this International Women’s Day, we all need to recommit to break from business as usual. Our mothers, sisters, daughters, and partners around the world all deserve nothing less. 

Note: The maternal mortality figures presented above have been updated subsequent to the original post in order to correct for a coding error discovered in the original country-weighting calculations for global trajectories.

On July 5, the results from the first year of the world’s first development impact bond (DIB) for education in Rajasthan, India, were announced. The Center for Universal Education hosted a webinar in which three stakeholders in the DIB shared their perspective on the performance of the intervention, their learnings about the DIB process, and their thoughts for the future of DIBs and other results-based financing mechanisms.

Approximately 3 million girls ages 6 to 13 were out of school in India according to most recent data, 350,000 of which are in the state of Rajasthan. Child marriage is also a large issue in the state; no state-specific data exists, but nationwide 47 percent of girls ages 20 to 24 are married before age 18. According to Educate Girls, a non-governmental organization based in Rajasthan, girls’ exclusion is primarily a result of paternalistic societal mindsets and traditions. Given the evidence linking education and future life outcomes for girls, this data is greatly concerning.

The DIB finances a portion of the services provided by Educate Girls, which has been working to improve enrollment, retention, and learning outcomes for girls (and boys) in Rajasthan since 2007. The organization trains a team of community volunteers ages 18 to 30 to make door-to-door visits encouraging families to enroll their girls in school and to deliver curriculum enhancement in public school classrooms. Their volunteers are present in over 8,000 villages and 12,500 schools in Rajasthan. The DIB was launched in March of 2015 to finance services in 166 schools, which represents 5 percent of Educate Girls’ annual budget. The DIB is intended to be a “proof of concept” of the mechanism using this relatively small selection of beneficiaries.

The investor in the DIB is UBS Optimus Foundation, who has provided $238,000 in working capital to fund the service delivery. ID Insight, a non-profit evaluation firm, will evaluate the improvement in learning of girls and boys in the treatment schools in comparison to a control group and will validate the number of out of school girls enrolled. The Children’s Investment Fund Foundation serves as the outcome funder, and has agreed to pay UBS Optimus Foundation 43.16 Swiss francs ($44.37) for each unit of improved learning and 910.14 francs ($935.64) for every percentage point increase in the enrollment of girls out of school. Instiglio, a non-profit impact bond and results-based financing intermediary organization, provided technical assistance to all parties during the design of the DIB and currently provides performance management assistance to Educate Girls on behalf of UBS Optimus Foundation. 

The outcomes will be calculated in 2018, at the end of three years; however, preliminary results for the year since the launch of the DIB (representing multiple months of door-to-door visits and seven weeks of interventions in the classroom) were released last week. The payments for the DIB were structured such that the investor, UBS Optimus Foundation, would earn a 10 percent internal rate of return (IRR) on their investment at target outcome levels, which were based on Educate Girls’ past performance data. The table below presents the metrics, target outcome level, year-one result, and the progress toward the target. 

Table 1: Educate Girls DIB Results from first year of services

The DIB was challenging to implement and required DIB stakeholders to be resourceful.

First, the reliability of government data was a challenge, which necessitated flexibility in the identification of the target population and metrics. Second, given the number of stakeholders engaged and the novelty of this approach, the transaction costs were higher than they would have been for a traditional grant. This meant that strong and regular communication was crucial to the survival of the project.

The role of the outcome funder and investor were significantly different versus a grant.

The outcome funder spent more resources on defining outcomes, but spent fewer resources on managing grant activities. The investor utilized risk management and monitoring strategies informed by the activities in their commercial banking branch, which they have not used for other grants.

The DIB has changed the way the service provider operates.

In the video below, Safeena Husain from Educate Girls’ highlights the ways in which financing a portion of their program through a DIB differs from financing the program through grants. Safeena describes that in a grant, performance data is reported up to donors, but rarely makes it back down to frontline workers. The DIB has helped them to develop mobile dashboards that ensure performance data is reaching the front line and helping to identify barriers to outcomes as early as possible.

Based on the learnings from the implementation of the first DIB for education, this tool can be used to improve the value for money for the outcome funder and strengthen the performance management of a service provider. As the panelists discussed in the webinar, DIBs and other outcome-based financing mechanisms can help differentiate between organizations that are adept at fundraising and those that excel at delivering outcomes. However, service providers must be sufficiently prepared for rigorous outcome measurement if they plan to participate in a DIB; otherwise the high-stakes environment might backfire. In our research, we have closely examined the design constraints for impact bonds in the early childhood sector.

There are countless lessons to be learned from the stakeholder’s experience in the first DIB for education. We applaud the stakeholders for being transparent about the outcomes and true challenges associated with this mechanism. This transparency will be absolutely critical to ensure that DIBs are implemented and utilized appropriately moving forward.

Part I of the 2015 Brown Center Report on American Education. 

Girls score higher than boys on tests of reading ability.  They have for a long time.  This section of the Brown Center Report assesses where the gender gap stands today and examines trends over the past several decades.  The analysis also extends beyond the U.S. and shows that boys’ reading achievement lags that of girls in every country in the world on international assessments.  The international dimension—recognizing that U.S. is not alone in this phenomenon—serves as a catalyst to discuss why the gender gap exists and whether it extends into adulthood.

Background

One of the earliest large-scale studies on gender differences in reading, conducted in Iowa in 1942, found that girls in both elementary and high schools were better than boys at reading comprehension.^[i] The most recent results from reading tests of the National Assessment of Educational Progress (NAEP) show girls outscoring boys at every grade level and age examined.  Gender differences in reading are not confined to the United States.  Among younger children—age nine to ten, or about fourth grade—girls consistently outscore boys on international assessments, from a pioneering study of reading comprehension conducted in fifteen countries in the 1970s, to the results of the Program in International Reading Literacy Study (PIRLS) conducted in forty-nine nations and nine benchmarking entities in 2011.  The same is true for students in high school.  On the 2012 reading literacy test of the Program for International Student Assessment (PISA), worldwide gender gaps are evident between fifteen-year-old males and females.

As the 21^st century dawned, the gender gap came under the scrutiny of reporters and pundits.  Author Christina Hoff Sommers added a political dimension to the gender gap, and some say swept the topic into the culture wars raging at the time, with her 2000 book The War Against Boys: How Misguided Feminism is Harming Our Young Men.^[ii] Sommers argued that boys’ academic inferiority, and in particular their struggles with reading, stemmed from the feminist movement’s impact on schools and society.  In the second edition, published in 2013, she changed the subtitle to How Misguided Policies Are Harming Our Young Men.  Some of the sting is removed from the  indictment of “misguided feminism.”  But not all of it.  Sommers singles out for criticism a 2008 report from the American Association of University Women.^[iii] That report sought to debunk the notion that boys fared poorly in school compared to girls.  It left out a serious discussion of boys’ inferior performance on reading tests, as well as their lower grade point averages, greater rate of school suspension and expulsion, and lower rate of acceptance into college.

Journalist Richard Whitmire picked up the argument about the gender gap in 2010 with Why Boys Fail: Saving Our Sons from an Educational System That’s Leaving Them Behind.^[iv] Whitmire sought to separate boys’ academic problems from the culture wars, noting that the gender gap in literacy is a worldwide phenomenon and appears even in countries where feminist movements are weak to nonexistent.  Whitmire offers several reasons for boys’ low reading scores, including poor reading instruction (particularly a lack of focus on phonics), and too few books appealing to boys’ interests.  He also dismisses several explanations that are in circulation, among them, video games, hip-hop culture, too much testing, and feminized classrooms.  As with Sommers’s book, Whitmire’s culprit can be found in the subtitle: the educational system.  Even if the educational system is not the original source of the problem, Whitmire argues, schools could be doing more to address it. 

In a 2006 monograph, education policy researcher Sara Mead took on the idea that American boys were being shortchanged by schools.  After reviewing achievement data from NAEP and other tests, Mead concluded that the real story of the gender gap wasn’t one of failure at all.  Boys and girls were both making solid academic progress, but in some cases, girls were making larger gains, misleading some commentators into concluding that boys were being left behind.  Mead concluded, “The current boy crisis hype and the debate around it are based more on hopes and fears than on evidence.”^[v]

The analysis below focuses on where the gender gap in reading stands today, not its causes.  Nevertheless, readers should keep in mind the three most prominent explanations for the gap.  They will be used to frame the concluding discussion.

Biological/Developmental:  Even before attending school, young boys evidence more problems in learning how to read than girls.  This explanation believes the sexes are hard-wired differently for literacy.

School Practices: Boys are inferior to girls on several school measures—behavioral, social, and academic—and those discrepancies extend all the way through college.  This explanation believes that even if schools do not create the gap, they certainly don’t do what they could to ameliorate it. 

Cultural Influences: Cultural influences steer boys toward non-literary activities (sports, music) and define literacy as a feminine characteristic.  This explanation believes cultural cues and strong role models could help close the gap by portraying reading as a masculine activity. 

Table 1-1 displays the most recent data from eight national tests of U.S. achievement.  The first group shows results from the National Assessment of Educational Progress Long Term Trend (NAEP-LTT), given to students nine, 13, and 17 years of age.  The NAEP-LTT in reading was first administered in 1971.  The second group of results is from the NAEP Main Assessment, which began testing reading achievement in 1992.  It assesses at three different grade levels: fourth, eighth, and twelfth.   The last two tests are international assessments in which the U.S. participates, the Progress in International Reading Literacy Study (PIRLS), which began in 2001, and the Program for International Student Assessment (PISA), first given in 2000.  PIRLS tests fourth graders, and PISA tests 15-year-olds.  In the U.S., 71 percent of students who took PISA in the fall of 2012 were in tenth grade. 

Two findings leap out.  First, the test score gaps between males and females are statistically significant on all eight assessments.  Because the sample sizes of the assessments are quite large, statistical significance does not necessarily mean that the gaps are of practical significance—or even noticeable if one observed several students reading together.  The tests also employ different scales.  The final column in the table expresses the gaps in standard deviation units, a measure that allows for comparing the different scores and estimating their practical meaningfulness.

The second finding is based on the standardized gaps (expressed in SDs).  On both NAEP tests, the gaps are narrower among elementary students and wider among middle and high school students.  That pattern also appears on international assessments.  The gap is twice as large on PISA as on PIRLS.[vi]  A popular explanation for the gender gap involves the different maturation rates of boys and girls.  That theory will be discussed in greater detail below, but at this point in the analysis, let’s simply note that the gender gap appears to grow until early adolescence—age 13 on the LTT-NAEP and grade eight on the NAEP Main.

Should these gaps be considered small or large?  Many analysts consider 10 scale score points on NAEP equal to about a year of learning.  In that light, gaps of five to 10 points appear substantial.  But compared to other test score gaps on NAEP, the gender gap is modest in size.  On the 2012 LTT-NAEP for nine-year-olds, the five point gap between boys and girls is about one-half of the 10 point gap between students living in cities and those living in suburbs.[vii]  The gap between students who are eligible for free and reduced lunch and those who are not is 28 points; between black and white students, it is 23 points; and between English language learners (ELL) and non-ELL students, it is 34 points. 

Table 1-1 only shows the size of the gender gap as gauged by assessments at single points in time.  For determining trends, let’s take a closer look at the LTT-NAEP, since it provides the longest running record of the gender gap.  In Table 1-2, scores are displayed from tests administered since 1971 and given nearest to the starts and ends of decades.  Results from 2008 and 2012 are both shown to provide readers an idea of recent fluctuations.  At all three ages, gender gaps were larger in 1971 than they are today.  The change at age nine is statistically significant, but not at age 13 (p=0.10) or age 17 (p=.07), although they are close.  Slight shrinkage occurred in the 1980s, but the gaps expanded again in the 1990s.  The gap at age 13 actually peaked at 15 scale score points in 1994 (not shown in the table), and the decline since then is statistically significant.  Similarly, the gap at age 17 peaked in 1996 at 15 scale score points, and the decline since then is also statistically significant.  More recently, the gap at age nine began to shrink again in 1999, age 13 began shrinking in the 2000s, and age 17 in 2012.

Table 1-3 decomposes the change figures by male and female performance.  Sara Mead’s point, that the NAEP story is one of both sexes gaining rather than boys falling behind, is even truer today than when she made it in 2006.  When Mead’s analysis was published, the most recent LTT-NAEP data were from 2004.  Up until then, girls had made greater reading gains than boys.  But that situation has reversed.  Boys have now made larger gains over the history of LTT-NAEP, fueled by the gains that they registered from 2004 to 2012.  The score for 17-year-old females in 2012 (291) was identical to their score in 1971.

The United States is not alone in reading’s gender gap.  Its gap of 31 points is not even the largest (see Figure 1-1). On the 2012 PISA, all OECD countries exhibited a gender gap, with females outscoring males by 23 to 62 points on the PISA scale (standard deviation of 94).   On average in the OECD, girls outscored boys by 38 points (rounded to 515 for girls and 478 for boys).  The U.S. gap of 31 points is less than the OECD average.

Finland had the largest gender gap on the 2012 PISA, twice that of the U.S., with females outscoring males by an astonishing 62 points (0.66 SDs).  Finnish girls scored 556, and boys scored 494.  To put this gap in perspective, consider that Finland’s renowned superiority on PISA tests is completely dependent on Finnish girls.  Finland’s boys’ score of 494 is about the same as the international average of 496, and not much above the OECD average for males (478).  The reading performance of Finnish boys is not statistically significantly different from boys in the U.S. (482) or from the average U.S. student, both boys and girls (498). Finnish superiority in reading only exists among females.

There is a hint of a geographical pattern.  Northern European countries tend to have larger gender gaps in reading.  Finland, Sweden, Iceland, and Norway have four of the six largest gaps.  Denmark is the exception with a 31 point gap, below the OECD average.   And two Asian OECD members have small gender gaps.  Japan’s gap of 24 points and South Korea’s gap of 23 are ranked among the bottom four countries. The Nordic tendency toward large gender gaps in reading was noted in a 2002 analysis of the 2000 PISA results.^[viii]  At that time, too, Denmark was the exception.  Because of the larger sample and persistence over time, the Nordic pattern warrants more confidence than the one in the two Asian countries.

Back to Finland.  That’s the headline story here, and it contains a lesson for cautiously interpreting international test scores.  Consider that the 62 point gender gap in Finland is only 14 points smaller than the U.S. black-white gap (76 points) and 21 points larger than the white-Hispanic gap (41 points) on the same test.  Finland’s gender gap illustrates the superficiality of much of the commentary on that country’s PISA performance.  A common procedure in policy analysis is to consider how policies differentially affect diverse social groups.  Think of all the commentators who cite Finland to promote particular policies, whether the policies address teacher recruitment, amount of homework, curriculum standards, the role of play in children’s learning, school accountability, or high stakes assessments.^[ix]  Advocates pound the table while arguing that these policies are obviously beneficial.  “Just look at Finland,” they say.  Have you ever read a warning that even if those policies contribute to Finland’s high PISA scores—which the advocates assume but serious policy scholars know to be unproven—the policies also may be having a negative effect on the 50 percent of Finland’s school population that happens to be male?

One of the solutions put forth for improving boys’ reading scores is to make an effort to boost their enjoyment of reading.  That certainly makes sense, but past scores of national reading and math performance have consistently, and counterintuitively, shown no relationship (or even an inverse one) with enjoyment of the two subjects.  PISA asks students how much they enjoy reading, so let’s now investigate whether fluctuations in PISA scores are at all correlated with how much 15-year-olds say they like to read.

The analysis below employs what is known as a “differences-in-differences” analytical strategy.  In both 2000 and 2009, PISA measured students’ reading ability and asked them several questions about how much they like to read.  An enjoyment index was created from the latter set of questions.^[x]  Females score much higher on this index than boys.  Many commentators believe that girls’ greater enjoyment of reading may be at the root of the gender gap in literacy.

When new international test scores are released, analysts are tempted to just look at variables exhibiting strong correlations with achievement (such as amount of time spent on homework), and embrace them as potential causes of high achievement. But cross-sectional correlations can be deceptive.  The direction of causality cannot be determined, whether it’s doing a lot of homework that leads to high achievement, or simply that good students tend to take classes that assign more homework.  Correlations in cross-sectional data are also vulnerable to unobserved factors that may influence achievement.  For example, if cultural predilections drive a country’s exemplary performance, their influence will be masked or spuriously assigned to other variables unless they are specifically modeled.^[xi]  Class size, between-school tracking, and time spent on learning are all topics on which differences-in-differences has been fruitfully employed to analyze multiple cross-sections of international data.

Another benefit of differences-in-differences is that it measures statistical relationships longitudinally.  Table 1-4 investigates the question: Is the rise and fall of reading enjoyment correlated with changes in reading achievement?  Many believe that if boys liked reading more, their literacy test scores would surely increase.  Table 1-4 does not support that belief.  Data are available for 27 OECD countries, and they are ranked by how much they boosted males’ enjoyment of reading.  The index is set at the student-level with a mean of 0.00 and standard deviation of 1.00.  For the twenty-seven nations in Table 1-4, the mean national change in enjoyment is -.02 with a standard deviation of .09. 

Germany did the best job of raising boys’ enjoyment of reading, with a gain of 0.12 on the index.  German males’ PISA scores also went up—a little more than 10 points (10.33).  France, on the other hand, raised males’ enjoyment of reading nearly as much as Germany (0.11), but French males’ PISA scores declined by 15.26 points.  A bit further down the column, Ireland managed to get boys to enjoy reading a little more (a gain of 0.05) but their reading performance fell a whopping 36.54 points.  Toward the bottom end of the list, Poland’s boys enjoyed reading less in 2009 than in 2000, a decline of 0.14 on the index, but over the same time span, their reading literacy scores increased by more than 14 points (14.29).  Among the countries in which the relationship goes in the expected direction is Finland.  Finnish males’ enjoyment of reading declined (-0.14) as did their PISA scores in reading literacy (-11.73).  Overall, the correlation coefficient for change in enjoyment and change in reading score is -0.01, indicating no relationship between the two.

Christina Hoff Sommers and Richard Whitmire have praised specific countries for first recognizing and then addressing the gender gap in reading.  Recently, Sommers urged the U.S. to “follow the example of the British, Canadians, and Australians.”^[xii]  Whitmire described Australia as “years ahead of the U.S. in pioneering solutions” to the gender gap.  Let’s see how those countries appear in Table 1-4.  England does not have PISA data for the 2000 baseline year, but both Canada and Australia are included.  Canada raised boys’ enjoyment of reading a little bit (0.02) but Canadian males’ scores fell by about 12 points (-11.74).  Australia suffered a decline in boys’ enjoyment of reading (-0.04) and achievement (-16.50).  As promising as these countries’ efforts may have appeared a few years ago, so far at least, they have not borne fruit in raising boys’ reading performance on PISA.

Achievement gaps are tricky because it is possible for the test scores of the two groups being compared to both decline while the gap increases or, conversely, for scores of both to increase while the gap declines.  Table 1-4 only looks at males’ enjoyment of reading and its relationship to achievement.  A separate differences-in-differences analysis was conducted (but not displayed here) to see whether changes in the enjoyment gap—the difference between boys’ and girls’ enjoyment of reading—are related to changes in reading achievement.  They are not (correlation coefficient of 0.08).  National PISA data simply do not support the hypothesis that the superior reading performance of girls is related to the fact that girls enjoy reading more than boys. 

Let’s summarize the main findings of the analysis above. Reading scores for girls exceed those for boys on eight recent assessments of U.S. reading achievement.  The gender gap is larger for middle and high school students than for students in elementary school.  The gap was apparent on the earliest NAEP tests in the 1970s and has shown some signs of narrowing in the past decade.  International tests reveal that the gender gap is worldwide.  Among OECD countries, it even appears among countries known for superior performance on PISA’s reading test.  Finland not only exhibited the largest gender gap in reading on the 2012 PISA, the gap had widened since 2000.  A popular recommendation for boosting boys’ reading performance is finding ways for them to enjoy reading more.  That theory is not supported by PISA data.  Countries that succeeded in raising boys’ enjoyment of reading from 2000 to 2009 were no more likely to improve boys’ reading performance than countries where boys’ enjoyment of reading declined. 

The origins of the gender gap are hotly debated.  The universality of the gap certainly supports the argument that it originates in biological or developmental differences between the two sexes.  It is evident among students of different ages in data collected at different points in time.  It exists across the globe, in countries with different educational systems, different popular cultures, different child rearing practices, and different conceptions of gender roles.  Moreover, the greater prevalence of reading impairment among young boys—a ratio of two or three to one—suggests an endemic difficulty that exists before the influence of schools or culture can take hold.^[xiii] 

But some of the data examined above also argue against the developmental explanation.  The gap has been shrinking on NAEP.  At age nine, it is less than half of what it was forty years ago.  Biology doesn’t change that fast.  Gender gaps in math and science, which were apparent in achievement data for a long time, have all but disappeared, especially once course taking is controlled.  The reading gap also seems to evaporate by adulthood.  On an international assessment of adults conducted in 2012, reading scores for men and women were statistically indistinguishable up to age 35—even in Finland and the United States.  After age 35, men had statistically significantly higher scores in reading, all the way to the oldest group, age 55 and older.  If the gender gap in literacy is indeed shaped by developmental factors, it may be important for our understanding of the phenomenon to scrutinize periods of the life cycle beyond the age of schooling.   

Another astonishing pattern emerged from the study of adult reading.  Participants were asked how often they read a book.  Of avid book readers (those who said they read a book once a week) in the youngest group (age 24 and younger), 59 percent were women and 41 percent were men.  By age 55, avid book readers were even more likely to be women, by a margin of 63 percent to 37 percent.  Two-thirds of respondents who said they never read books were men.  Women remained the more enthusiastic readers even as the test scores of men caught up with those of women and surpassed them.

A few years ago, Ian McEwan, the celebrated English novelist, decided to reduce the size of the library in his London townhouse.  He and his younger son selected thirty novels and took them to a local park.  They offered the books to passers-by.  Women were eager and grateful to take the books, McEwan reports.  Not a single man accepted.  The author’s conclusion? “When women stop reading, the novel will be dead.”^[xiv] 

McEwan might be right, regardless of the origins of the gender gap in reading and the efforts to end it.

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Girls outscore boys on practically every reading test given to a large population. And they have for a long time. A 1942 Iowa study found girls performing better than boys on tests of reading comprehension, vocabulary, and basic language skills, and girls have outscored boys on every reading test ever given by the National Assessment of Educational Progress (NAEP). This gap is not confined to the U.S. Reading tests administered as part of the Progress in International Reading Literacy Study (PIRLS) and the Program for International Student Assessment (PISA) reveal that the gender gap is a worldwide phenomenon.

On March 26, join Brown Center experts Tom Loveless and Matthew Chingos as they discuss the latest Brown Center Report on American Education, which examines this phenomenon. Hear what Loveless's analysis revealed about where the gender gap stands today and how it's trended over the past several decades - in the U.S. and around the world.

Tune in below or via Spreecast where you can submit questions. 

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We have known for some time that children who grow up in single parent-families do not fare as well as those with two parents – especially two biological parents.  In recent years, some scholars have argued that the consequences are especially serious for boys.  Not only do boys need fathers, presumably to learn how to become men and how to control their often unruly temperaments, but less obviously, and almost counterintuitively, it turns out that boys are more sensitive or less resilient than girls. Parenting seems to affect the development of boys more than it affects the development of girls.  Specifically, their home environment is more likely to affect behavior and performance in school.

Up until now, these speculations have been based on limited evidence.  But new research from Harvard professor Raj Chetty and a team of colleagues shows that the effects of single parenthood are indeed real for all boys, regardless of family income, but especially for boys living in high-poverty, largely minority neighborhoods.

When they become adults, boys from low-income, single-parent families are less likely to work, to earn a decent income, and to go to college: not just in absolute terms, but compared to their sisters or other girls who grew up in similar circumstances.  These effects are largest when the families live in metropolitan areas (commuting zones) with a high fraction of black residents, high levels of racial and income segregation, and lots of single-parent families.  In short, it is not just the boy’s own family situation that matters but also the kind of neighborhood he grows up in.  Exposure to high rates of crime, and other potentially toxic peer influences without the constraining influence of adult males within these families, seems to set these boys on a very different course than other boys and, perhaps more surprisingly, on a different course from their sisters.

The focus of a great deal of attention recently has been on police practices in low-income minority neighborhoods.  Without in any way excusing police brutality where it has occurred, what this research suggests is that the challenge for police is heightened by the absence of male authority figures in low-income black neighborhoods.  In his gripping account of his own coming of age in West Baltimore, journalist Ta-Nehisi Coates recounts being severely punished by his father for some adolescent infraction.  When his mother protested, Ta-Nehisi’s father replied that it was better that this discipline come from within the family than be left to the police.  But Coates’ family was one of the few in his neighborhood where a father still existed.

Repairing families is difficult at best.  Most single-parent families are initially formed as the result of an unplanned birth to an unmarried young woman in these same communities.  Perhaps girls and young women simply suffer in a different way.  Instead of becoming involved in crime and ending up in prison or the informal economy, they are more likely to drift into early motherhood.  With family responsibilities at an early age, and less welfare assistance than in the past, they are also more likely to have to work.  But in the longer run, providing more education and a different future for these young women may actually be just as important as helping their brothers if we don’t want to perpetuate the father absence that caused these problems in the first place.  They are going to need both the motivation (access to education and decent jobs) and the means (access to better forms of contraception) if we are to achieve this goal.

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