2011/ED/EFA/MRT/PI/01 Background paper prepared for the Education for All Global Monitoring Report 2011 The hidden crisis: Armed conflict and education Translating education gains into labor force gains for young women; alternative education strategies Cynthia B. Lloyd 2010 This paper was commissioned by the Education for All Global Monitoring Report as background information to assist in drafting the 2011 report. It has not been edited by the team. The views and opinions expressed in this paper are those of the author(s) and should not be attributed to the EFA Global Monitoring Report or to UNESCO. The papers can be cited with the following reference: “Paper commissioned for the EFA Global Monitoring Report 2011, The hidden crisis: Armed conflict and education”. For further information, please contact [email protected]. Translating education gains into labor force gains for young women; alternative education strategies Cynthia B. Lloyd Introduction and Background “For education to promote gender equality, .., it must benefit women equally if not more than men, given the history of discrimination against women and girls in schooling” (Aslam, Kingdon and Soderbom 2008) Probably the most dramatic social and economic transformation that has occurred in developed countries over the past 40 years has been the rapid rise in women’s labor force participation, including a shift in the locus of women’s activities from home to public spaces (Blau 1997; Goldin, 1990). These changes have led to a growth in family income and at the same time to greater agency and independence for women. In this paper, I focus on the role of the school in supporting a similar transition in developing countries – a transition which is not only necessary to support women’s quest for greater autonomy and influence but also to support rapid economic growth. Gender gaps in school participation rates have been closing worldwide with some of the most dramatic changes in the poorest countries. Indeed, in many cases, gender gaps are even reversing to favor girls at all levels. While gender gaps in labor force participation have been narrowing as well, the rate of change has been much slower suggesting that other forces are at work to limit the extent to which young women have been able to translate education gains into gains in work force participation. There are 3 major sets of factors which may be limiting the pace of young women’s growth in economic participation: (1) social norms about the role of women in economic life, (2) the content and “relevance” of contemporary education and (3) characteristics of the job market affecting the demand for female workers. The first two sets of factors can be influenced by the education system while the third set of factors operates largely outside the education system. The socialization of children with respect to appropriate adult roles for men and women starts within the family and community and continues within the school. It is modeled on the norms and values of parents, community leaders and teachers as colored by their life experiences. “The traditional division of labor between the sexes - which has been reinforced over the generations through this socialization process - stems from a universal concern with the protection, feeding and rearing of the young and a recognition of the importance of maintaining physical proximity between mother and child (NRC/IOM 2005:266).” With the evolution of a cash economy, this traditional division of labor is reflected in the feminization of jobs that mirror women’s traditional domestic functions within the home as care givers and domestic workers. Nursing and garment work would be two examples. Education can play a role in the socialization process either by reinforcing traditional gender roles or by modeling alternative gender roles within the classroom as well as through the curriculum and teaching materials. The content and “relevance” of education, capturing the second set of factors affecting women’s labor force growth, influences the match between the specific knowledge and skills 1 acquired in school and available jobs. Those whose education provides them with a better match will be in a more competitive position in the job market. Occupational segregation by gender, capturing the third set of factors affecting the labor force growth of young women, is pervasive in the labor market in every country. To some extent this universal reality reflects gender differences in work preferences as influenced by social norms and practical family circumstances and to some extent this reflects discrimination by employers on the basis of gender. Discriminatory behavior is also a product of the social norms about sex roles discussed above, leading employers to be reluctant to employ women in non-traditional jobs. Furthermore, employers may perceive that hiring women is more expensive or more risky because of women’s traditional childcare responsibilities. With economic growth as well as structural change in labor markets, the relative demand for female workers can shift in either a positive or negative direction depending on the relative importance of various occupations in overall job growth. Standing (1999) suggests that the labor force is in fact becoming more “feminine” in its characteristics as a result of the changing nature of work in response to global shifts in demand. Thus, it would appear that the rise in the demand for work in occupations that are traditionally female has been a positive factor encouraging the growth of employment among young women. Of particular note in today’s poorer countries is the fact that the economic returns to formal education in form of wages appear to be high relative to the West and slightly higher overall for women than men (Psacharopoulos and Patrinos 2004). While, men appear to gain more than women when they make the transition from no education to primary completion, the reverse is true for the transition from primary completion to secondary completion where women’s gain in wages exceeds men’s. While both young men and women experience a sizeable gain in earnings with secondary school completion, young women appear to have even more to gain by completing secondary school than do young men. For example, recent analysis of the 2007 labor force survey in the Philippines has identified formal education as the single most important factor contributing to individual wage differentials, accounting for a higher percentage of the difference among female workers (37 percent) than male workers (24 percent) (Luo and Terada 2009). The wage premiums for the completion of secondary and tertiary levels of education are higher for women than for men. This could partially be explained by the distribution of types of jobs according to education level as well as by lesser gender discrimination in jobs requiring secondary school completion. In some cases, even some secondary schooling can make a difference. In Bangladesh, recent data suggest that a key factor in the growth of real wages from 2000 to 2005, particularly for women, has been the rising percent of employees with some secondary schooling (Al-Samarrai 2007). Furthermore, global trends seem to be contributing to higher and rising rates of return to secondary and tertiary education relative to the past (Luo and Terada 2009; NRC/IOM 2005). Many factors may be at work here including a shift in the overall distribution of educational attainment, a changing global economic climate due to market liberalization and growth in international trade as well as possible declines in educational quality at the primary level due to the rapid expansion of primary schooling in response to Education for All. What is clear is that for girls, the economic advantage of schooling will increasingly be reaped only with the completion of secondary school while boys may still see some economic opportunities opening up for them with only primary schooling. A recent analysis of the 1998-99 Integrated Household survey in Pakistan illustrates the point. It is only after at least 10 years of school (matric level) that women begin to take advantage of the benefits of education by joining the 2 formal labor force and entering wage employment while men participate in the labor force at all levels of education (Aslam, Kingdon and Soderbom 2008). Interestingly, almost no research has tried to compare the rates of returns from completion of general secondary school to the returns from vocational secondary school. Despite high per pupil costs and increasing questions about their effectiveness, most countries still retain a vocational secondary school track (World Bank 2005). Typically, it is the students who do less well on their primary school leaving exams who are tracked into government technical or vocational schools. The curriculum in general secondary schools is geared to prepare students for university and is often highly abstract and academic. Nonetheless, vocational or technical secondary school is often perceived to be “inferior” (Benavot and Resnick 2006, 186). Typically the majors chosen by men and women in vocational secondary school differ, reflecting social norms about gender roles as discussed above. For example, in Indonesia, 64 percent of men in vocational secondary choose a technical or industrial major while women choose business management (56 percent) and tourism (29 percent) (Newhouse and Suryadarma 2009). In Indonesia, female graduates of vocational secondary schools appear to have a slight wage premium relative to female graduates of general secondary schools. A comparison of birth cohorts suggests a dramatic decline in the wage premium traditionally associated with vocational education for young men in Indonesia. At the same time, there has been a substantial rise in women’s vocational wage premium by age 30. These shifts could be explained by the increasing prominence of the service sector in Indonesia where the demand for business management and tourism skills is strong. In the context of Indonesia, rapid changes in the economy in response to global demand is creating a favorable environment for female graduates of vocational secondary school. None of these overall estimates of rates of return take account of returns to school quality. However, evidence suggests that school quality is critically important in translating additional years of education into labor market gains. Research suggests that dropout rates are higher in schools with poorer learning outcomes (Hanushek et al 2008); that better learning outcomes translate into more rapid transitions to a job after secondary school completion in settings with high rates of unemployment (e.g. Lam, Leibrandt and Mlatsheni 2009 for South Africa ) and ultimately to higher earnings (Hanushek 2006). The relevance of the skills acquired in school for labor market needs may also be a factor affecting rates for return to schooling. For example, evidence suggests that a secondary school graduate with fluency in an international language can expect to earn considerably more than a graduate with fluency in a local language (Lloyd and Young 2009). Recent qualitative research on the literacy environment in Senegal reflects the popular perception that access to employment in the formal sector of the economy requires literacy in French (Shiohata 2010). Gender Differences in School and Work Transitions Figures 1a contrasts school attendance rates by age and sex among youth ages 12-16 and 1721 with labor force participation rates (Figure 1b) at these same ages for five major regions (sub-Saharan Africa, East Asia and the Pacific, Europe and Central Asia, Latin America and the Caribbean and South Asia) based on aggregated and weighted data from World Bank Living Standard Surveys conducted between 1995-2004 (Buvinic et al. 2007). As expected, we see in every region that school attendance declines with age during adolescence and labor force participation rises. 3 Three regions - Latin America, East Asia and the Pacific and Europe and Central Asia – show high rates of school attendance for both boys and girls among 12-16 year-olds as well as similar patterns of school departure by age. By contrast in each of these regions, overall levels of labor force participation are much lower for girls than boys, with the gap widening with age among youth. In South Asia, girls at every age have slightly lower school attendance rates than boys. Gender gaps in labor force participation are much wider than in the previously mentioned three regions and even exceed gaps in all the other regions. While gender gaps do not appear prominent in sub-Saharan Africa in labor force participation relative to the other regions, overall levels of participation among older adolescents remains low. While more young men than young women remain in school at older ages in subSaharan Africa, women’s participation in the labor market is the same as young men at less than 40% - the lowest level among all the regions. It remains to be seen whether young women can capitalize on their education in Sub-Saharan Africa as educational attainment increases. There is some evidence published elsewhere to suggest that the gender gap between young men and women in labor force participation has been narrowing in developing countries with rising labor force participation among young women. Nonetheless, gender gaps in labor force participation rates still remain large in most countries (NRC/IOM 2005). While the data in Figure 1a show us a rough profile of school attendance by age, we cannot see what that implies about educational attainment, in particular transitions to secondary school as well as secondary school completion. This is because many students in poor countries are over-age for their grade. Therefore the age at which they leave school cannot be immediately translated into the last grade attended. In the introduction, we drew attention to the particular importance of secondary school enrollment and, most importantly, secondary school completion, for adolescent girls in terms of future economic returns, so it would appear that it would be even more important for them than for boys to enter secondary school and ideally earn a secondary school degree if they are to overcome their historical disadvantage in the workplace. In the past 10-15 years, there has been an impressive improvement in the extent to which both 16-18 year old boys and girls who start school complete primary and transition into secondary school, with girls’ progress typically surpassing boys (Grant and Behrman 2010). Focusing first on the most recent situation, we can see in Figure 2a that secondary transition rates for the ever enrolled vary widely with rates for boys as low as 10 to 12 percent in Rwanda and Tanzania and as high as 97 percent in Jordan. The range of rates is similar for girls. There is diversity both within and across regions with the lowest rates in Eastern and Southern Africa where there has been dramatic progress in universalizing education but little progress in rates of transition to secondary school. By contrast, in Western and Central Africa, which has among the highest rates of never-enrollment, transition rates among the more selective adolescents who have entered school are typically much higher. Figure 2b shows trends in the gender gap in progression to secondary school among the ever enrolled over this same time period for 38 countries with at least two surveys, one in the early 1990s and one in the early part of the 2000s (Grant and Behrman 2010). The blue bar shows the gender gap that existed in the 1990s while the red bar show the gender gap more recently. It is striking to note that, by the date of the latest survey, a majority of countries (21 of the 38) have no gender gap or a negative gender gaps indicating that girls have caught up with and, in 4 18 countries, are now surpassing boys in their progression rates to secondary school. These findings may reflect a response to the relative rise in rates of return to secondary schooling for girls. Indeed, in only 6 countries did gender gaps widen over the decade but in all but one of these cases, the gaps remained negative and thus continue to favor girls. West and Central Africa countries stand out as having the widest gender gaps. Turkey is also a stand out case with a recent gap of over 20 percentage points; this reflects substantial improvement over the past 10 years. It should be noted, however, that calculated rates of return referred to above are predicated not on secondary school enrollment but secondary school completion. Thus what is of most fundamental interest is the percent of all young people who actually complete secondary school. In Figure 3a, we show the percent that have completed secondary school for both men and women at ages 22-24 as a percent of that age group for 46 countries with Demographic and Health Surveys since 2003. Here we can see that the rates are much lower than shown in the previous figure for two reasons: (1) we are looking not just at secondary progress but secondary completion and (2) this is based on all individuals in the age group not just those who had attended school. Again we see diversity within and across regions with secondary completion rates of less than 10 percent in much of sub-Saharan Africa. Completion rates are greater than 50 percent for both genders in Azerbaijan, Colombia, Jordan, the Philippines and Ukraine as well as in Bolivia and Nigeria for boys and the Dominican Republic for girls. The gender gap in overall secondary completion rates favors young men in most cases (37 out of 46 countries) with Armenia, Colombia, the Dominican Republic, Honduras, Jordan, Madagascar, Namibia, the Philippines and Ukraine being the exceptions (see Figure 3b). Given that we know that girls progress more rapidly than boys once enrolled (Grant and Behrman 2010; Lam,Leibbrandt and Mlatsheni 2009), the gender gap in secondary completion rates, where it occurs, can primarily be explained by the persistent gender gap in ever enrollment. Thus, while we see the incredible progress that girls have made, we also see how much more progress will be required if a majority of girls (and boys) are to complete secondary school. Alternative educational strategies for improving adolescent girls’ transition to work A growing recognition of the challenges facing young women in a rapidly globalizing environment has led governments and NGOs to invest in a variety of different approaches, some within the formal educational system and some outside, to address young women’s growing aspirations and need for remunerative work. Given adolescent girls’ diverse circumstances, educational programs need to serve two very different populations of girls: those who have either never attended or dropped out before adolescence and need an accelerated compensatory education to support their transition to work and those who are still in school and need support to continue on to secondary school where many of the full benefits of education can be reaped. Non-formal educational programs for adolescent girls who have been left behind Many NGOs and some governments have developed non-formal educational alternatives for adolescent girls who have either missed out on school all together or dropped out of formal schooling prior to becoming literate or completing primary school. The intent of these programs is not to help girls track back into the formal system but instead to provide a fast5 track compensatory educational alternative with the goal of providing marketable skills, including literacy. Nearly a quarter of all the programs documented in the global compendium on educational programs for adolescent girls offer non-formal educational alternatives (Lloyd and Young 2009). Furthermore, a large majority (over 70 percent) of all educational programs for adolescent girls that have a livelihood or vocational component as documented in Lloyd and Young’s program compendium were found in non-formal alternative educational programs (see Table 1). Some governments have integrated non-formal education within their larger education system; in many countries, however, non-formal education is largely operated by NGOs outside the regular government system. The Centres Education par Development (CEDs) in Mali would be an example of a non-formal education program that was established by the government to address the needs of girls who had never been to school. In collaboration with the INGO, CARE, the current program runs for 3 years with 2 years focused on the academics (e.g. reading in local language and arithmetic) and one year spent in a vocational training program (Lloyd and Young 2009). Many times such programs are developed to target the needs of children and adolescents who have missed out on school because of war and conflict, having spent part of their childhood as a refugee or an IDP. The Youth Education Pack (YEP) is a program developed by the Norwegian Refugee Council to address the needs of older adolescents in conflict-affected settings who are too old to reenter school or even attend an accelerated non-formal school. YEP is a one year full time program with 3 components: literacy/numeracy, life skills and vocational skills training. Priority is given to single mothers, youth heads of household and those with the poorest educational background. Vocational skills training activities are based on a market assessment of needs in each community. YEP is currently operational in Burundi, DR Congo, Georgia, Ivory Coast, Kenya, Liberia, Somaliland, Sudan and Uganda. Their project in Burundi has been subject to an external evaluation (Ketel 2008). Unfortunately, a feature of the program’s design requiring participants to join a post-training cooperative compromised the evaluation’s assessment of the impact of the program. Many of these cooperatives, intended to provide trainees with marketing support as well as protection and solidarity in their areas of specialty, were not longer operational at the time of the evaluation. As a result, the evaluator was unable to contact many of the trainees for follow-up interviews. On the positive side, the evaluation indicated that the particular skills for which training were provided were well chosen in relation to market demand. No data are currently available which document that extent to which adolescent girls are covered by these programs but a variety of sources suggest that enrollment in these programs may be considerable (Lloyd and Young 2009). Current data on educational enrollment, whether it is based on management information systems or on sample surveys, do not include enrollment in non-formal educational programs. There are probably two reasons for this: (1) it is a relatively new phenomena and (2) it is hard to ask questions about educational participation without reference to grades and levels. Unfortunately none of these programs has been effectively evaluated for impact either in terms of learning outcomes or in terms of transitions to employment. As a result, there is no basis on which to judge the effectiveness of these programs in the supporting young women’s learning outcomes or transitions to remunerative work. 6 Educational programs to support girls to continue in formal school during adolescence The first and most direct approach has involved the provision of various cash or in-kind subsidies to reduce the considerable costs associated with attending formal secondary school and to expand the supply of formal secondary schools. This approach is intended to increase demand for education and does not attempt to address issues of school quality at the level of the educational system, the individual school or the classroom. This approach is well justified by the impressive economic returns to formal schooling, which have been well documented, and by the immediate financial constraints facing many poor families. A second approach, which can be pursued in conjunction with the first approach, has been to create a more supportive and girl-friendly atmosphere within the school, through the recruitment and training of female teachers, gender training for teachers, after-school programs including mentoring and tutoring support which are all geared to the development of a more protective and, at the same time, more empowering educational environment for girls.1 A third approach, which again can be complementary with the previous approaches, has been to work directly within the formal school system to develop a more “relevant” curriculum; including the teaching of life skills and more general marketable skills, such as science and math, computer literacy and fluency in an internationally spoken language. The word “relevance” is used to convey the idea that curricular content should be responsive to market demand and teach skills that can be remunerative. The latter two approaches, whether implemented separately or in combination with each other or in combination with the first approach, appear promising but have not yet been tested using the same scientific rigor as the first approach. Both of these approaches involve addressing various dimensions of school quality that are expected to have beneficial effects on educational outcomes. The provision of financial incentives: In a compendium of educational programs serving adolescent girls, Lloyd and Young (2009) documented 322 programs which were operational in 2009. Forty three percent of these programs provided adolescent girls with cash or in-kind contributions to attend school, sometimes primary school and sometimes secondary school. This broad approach has proven successful in boosting girls’ enrollment in a range of settings as documented through randomized or quasi-experimental impact evaluations. However, issues of targeting and cost-effectiveness remain (Lloyd and Young 2009). The best known of these programs is the secondary school scholarship program for girls in Bangladesh that has led to reversal of the gender gap at the secondary level in Bangladesh. The rapid expansion of girls’ enrollment at the secondary level might not have been possible without the modernizing reform of the madrasa schools allowing the teaching of secular subjects which led to a rapid growth in female enrollment in government recognized madrasas (Asadullah and Chaudhury 2008). Whether attendance at “reformed” madrasas will hold the same economic benefits for girls as more traditional government formal secondary schools is not yet known. Other more recent examples of girls’ only scholarship schemes include the girls’ scholarship program in Cambodia supported by the Japanese to support poor girls in completing the last grade of primary school (Filmer and Schady 2008), the female school stipend program supported by the World Bank in Pakistan to encourage girls’ enrollment in government middle schools (grades 6 to 8) (Chaudhury and Parajuli 2006) and the very recent cash transfer program targeted to 13-22 year old never-married girls in Malawi (Baird, McIntosh 1 Elements of this approach are also relevant to non-formal education programs for girls 7 and Ozler 2010). Typically, these programs are conditional on girls maintaining certain attendance or performance standards in school. In all cases, these programs appear to have their strongest positive effects by increasing girls’ chances of making the transition from primary to secondary school and/or encouraging secondary school attendance. None of these programs has shown any beneficial effects on learning outcomes (Baird, McIntosh and Ozler 2010). Conditional cash transfer programs got their start in Latin America with the well-known Progresa, now Opportunidades, program. These programs, first introduced in Mexico 1997, have been an innovative approach to addressing long-run poverty through monthly cash grants to poor mothers conditional on their children’s attendance at health clinics and at school. Rawlings and Rubio (2005) review experiences with these programs in Colombia and Honduras, Jamaica, Mexico, Nicaragua and Turkey and find that all have been effective in raising enrollment but only in Mexico were girls differentially targeted with more generous grants designed to overcome an historical gender gap in secondary school enrollment. Evans and Ghosh (2008) in their review of a range of well-designed educational interventions, warn that, in terms of per capita costs, conditional cash transfer programs are relatively expensive. Furthermore, alternative approaches, including teacher training and the provision of teaching materials, have been more effective in improving knowledge and skills. The general consensus from the Latin American experience has been that, to be effective in raising school enrollment and attendance, these grants need to be conditional (de Brauw and Hoddinott 2008). Recent evidence from Malawi, however, suggests that the importance of conditionality may depend on the setting. In the case of Malawi, where an intervention featured randomized conditional and unconditional treatment arms, the authors found that the program reduced dropout rates by 40 percent among adolescent girls whether or not the cash was transferred conditional on school attendance or was transferred unconditionally (Baird, McIntosh and Ozler 2010). Given the extreme poverty in Malawi and the tendency for adolescent girls to marry young, it would appear that cash grants were quickly translated into educational opportunities for girls, even when they were provided unconditionally, in a setting where educational aspirations are high but family resources are very limited. Creating a girl-friendly environment in the school and within the classroom: Many of the programs catalogued in the compendium on educational programs for adolescent girls include some or all the elements necessary to create a supportive and empowering environment for girls (Lloyd and Young 2009). These include the recruitment and training of female teachers, gender training for teachers and mentoring, tutoring and peer support, the provision of toilets for girls and/or sanitary supplies. Nearly a quarter of the programs for which data were gathered for the compendium involve the recruitment and training of female teachers. Research suggests that this is an effective approach. Studies from a range of settings including Bangladesh, Mozambique, United States as well as cross-national studies in Africa and the developing world (Khandker 1996, Asadullah et al 2006, Asadullah and Chaudhury 2006, Handa 2002, Huisman and Smits 2009, Michaelowa 2001, Dee 2007) show the positive effects of the presence of female teachers and/or other female educational staff on girls’ enrollment and learning outcomes. By boosting secondary enrollment and completion, the presence of female teachers can also increase the supply of female teachers for the future by creating a cadre of young women eligible to train for the teaching profession. 8 Nearly a quarter of programs include gender training for teachers (Lloyd and Young 2009). While none of these programs have been evaluated, research suggests that this might be a promising approach. Lloyd, Mensch and Clark (2000), using data from their own speciallydesigned school and household surveys in rural Kenya, found various measures of gender treatment to be statistically significant factors associated with the probability of dropout for girls but not for boys. These included measures of the extent to which boys were favored in class over girls, boys were provided with more supportive advice than girls, teachers viewed more difficult subjects like mathematics less seriously for girls, harassment of girls by boys was more tolerated and girls’ reported experience with less equal treatment in the school was not fully acknowledged by boys. Their research found that girls suffered from negative attitudes and discriminatory behavior in both academically strong and academically weak schools. Teachers’ attitudes and behaviors revealed lower expectations for adolescent girls and traditional assumptions about gender roles (NRC/IOM 2005). Almost half the programs documented in the compendium include some aspect of mentoring, tutoring or peer support (Lloyd and Young 2009). Most of these programs fall in the afterschool category. An excellent example of the value of peer support comes from the experience of Camfed (the campaign for female education), a British NGO which works in Ghana, Tanzania, Zimbabwe, Malawi and Zambia to support girls’ education using a holistic approach. To support adolescent girls’ transitions to work after school, Cama was formed in 1998 in partnership with the first 400 high-school graduates of the Camfed program in order to provide a network of mentors for the next generation of girls exiting school who need financial training and advise on setting up their own businesses. Cama is now a pan-African social movement with 14,005 members in 77 rural districts of Africa whose members are reinvesting the benefits of their education in their communities and in the next generation of girls participating in Camfed programs. (http://us.camfed.org/documents/Camfed_Impact_Report_Highlights_US.pdf). The construction of girls-only toilets and the provision of sanitary supplies have recently emerged in the development literature as potentially cheap and effective ways to support the school attendance of adolescent girls (e.g. Kristoff and WuDunn 2009). Indeed, Lloyd and Young (2009) documented that 65 (20 percent) of the 322 girl-friendly programs in her compendium included toilets for girls or sanitary supplies. However, there is little evidence for a gender difference in absenteeism in sub-Saharan Africa or other less developed regions (Lloyd and Young 2009). Furthermore, the only published randomized trial of sanitary supply provision in Nepal did not find that the provision of menstrual cups2 had any effect on school attendance despite a rapid uptake in the use of the cups by participating girls. In a recent study of the effect of toilet availability and quality on girls’ school attendance in Malawi, Grant, Lloyd and Mensch (2010) did not find that improved toilets, in terms of numbers available, degree of cleanliness or privacy were significant factors explaining variations in girls’ absence across schools. They conclude that these approaches appear to be much less promising in producing positive educational outcomes for girls than other girl-friendly approaches mentioned above. Curricular reforms responsive to market demand: Issues of educational relevance transcend gender but, given what we know about young women’s current disadvantages in labor 2 A menstrual cup is an inserted reusable device that collects menstrual blood and requires less water for cleaning and self-care during menstruation. 9 market, educational reforms which address the issues of relevance are likely to differentially benefit girls. In the 2007 World Development Report (World Bank 2006), one of the areas identified for policy action was the development of curricula at the post-basic educational level designed to teach practical subjects as well as critical thinking and behavioral skills to enhance connections between school and work. Lloyd and Young (2009) provide an educational manifesto for adolescent girls that describe the skills that girls should be acquiring at each phase of adolescence (Box 1 below). For example, they note the importance of critical thinking skills, fluency in an international language, computer skills, financial literacy among other skills for girls ages 13-15. Box 1 Knowledge and skills every girl should be acquiring during their education Ages 10-12: literacy, numeracy, critical thinking skills, basic health knowledge, knowledge about their communities and the world Ages 13-15: reading and writing fluency, critical thinking skills, fluency in an internationally spoken language, computer skills, proficiency in math/science, health and reproductive health knowledge, financial literacy, skills for social and civic participation, knowledge about social systems and local and global issues Ages 16-19: marketable skills, information-gathering skills and habits for lifelong learning, financial knowledge and skills Source: Lloyd and Young (2009). An interesting example of such an approach is the Girls Be Ambitious program in Cambodia that is designed to help prevent the trafficking of girls for sexual and labor exploitation. The program, which is funded by Japan Relief for Cambodia/American Assistance for Cambodia (JRfC/AAfC) combines financial incentives to stay in school with curricular enhancements which is vocationally oriented (www.camnet.com.kh/Girls-Ambitious/). The participating schools, which are formal government schools, have received certain enhancements including internet connections, computers as well as courses in English and farming. Curricular reform is rarely discussed as a gender issue and need not focus on gender to yield benefits for young women. Global shifts in labor demand, however, are creating more opportunities for women in sectors such as services and tourism which are friendly to women and which often demand English fluency and computer skills (Standing 1999). If women are adequately prepared, they will be able to seize those opportunities. Integrative programs combining all three elements: There are few educational programs for girls that appear to combine all three elements. This is because of the many challenges involved in putting such a program in place. In Box 2 below, we showcase Development in Literacy (DIL), a US based non-profit developed by Pakistani-Americans, to address the poor state of education in Pakistan. This program does combine all three approaches. As Pakistani-Americans, the founders of the organization are committed to bringing the best educational practices used around the world to Pakistani children, particularly girls, in order to “equip them to succeed in the global market place (http://www.dil.org/about-us.html)”. With their unique perspective of having grown up in Pakistan and now living and raising 10 children in the US , the founders and their growing band of supports had the knowledge, commitment and access to dare what many might have thought was impossible. Their example should be an inspiration to others who grew up in developing countries, are now living in the West and may want to give back to their country of origin. While DIL has not yet been evaluated, it has grown and developed in an adverse environment and there has been much learning and improving along the way. Box 2 Educational building blocks for women’s economic empowerment within the formal school system The Case of Developments in Literacy in Pakistan3 Developments in Literacy (DIL) is an NGO formed by Pakistani Americans 13 years ago to address issues of school quality and girls’ educational disadvantage in Pakistan in partnership with local Pakistani NGOs. DIL’s program has expanded considerably since its founding with the support of other parts of the Pakistani diaspora living in Canada and Britain. DIL now runs 147 schools in nine districts in all four provinces of Pakistan educating more than 16,000 students. Girls represent the majority of students attending these schools with percentages ranging from 60 to 70 percent depending on the location and school. Their mission is “to provide quality education to disadvantaged children, especially girls, by establishing and operating [formal] schools in the underdeveloped regions of Pakistan, with a strong focus on gender equality and community participation.” All their schools, which include both coed and girls schools covering grades 1-8 (primary and middle school in the Pakistani system), include certain basic elements in terms of curriculum and pedagogy representing the building blocks for girls’ empowerment. First and foremost, they have developed their own Teacher Education Center to address the poor quality of existing teacher training using student-centered teaching methods. This training is being made mandatory for all DIL teachers (96 percent of whom are female) and is conducted during the summer months when schools are not in session. All DIL schools emphasize creativity as well as social skills and critical thinking skills and begin teaching English in the early grades along with local languages. DIL has recognized the need to revamp the curriculum starting in the earliest years and developed its own reading materials in English and Urdu with stories and illustrations showing girls exercising leadership and pursuing non-traditional roles and occupations starting with readers in Grade 1. Inquiry-based science instruction (using low cost materials to develop science kits) and computer labs (including internet connectivity in some classrooms) have also been introduced into the learning environment. Extracurricular activities are another an important feature of DIL schools and these include school trips to local historic sites which allow students some exposure to the larger world around them. As the program has evolved, the leadership of DIL has recognized the importance of supporting their girls in making a transition to secondary school (grades 9 and 10), as well as transitions to college (grades 11 and 12) and to employment. As a result, starting with the graduates of grade 8 at the end of middle school in 2007, they began providing financial 3 The information for this case study were based on information on the DIL website, including recent annual reports, as well as interviews with their founder, Fiza Shah, based in Los Angeles and with their Executive Director, Anjana Raza, based in Islamabad. 11 support to girls graduating from DIL schools to go on to government secondary schools.4 These scholarships include not only funds for tuition but also for books, tutors and transportation (often the largest expense because of the distances many girls in remote areas had to travel to the nearest secondary school). Their grade-to-grade transition rates have been impressive with typically over 80 percent transitioning to grade nine. Impressive numbers of girls from some of the earliest projects are now progressing to college and on to professional careers, with some entering the teaching and health professions. Most girls stay in their villages to find local jobs. The experience of DIL has shown the importance of investing in quality from the earliest grades in terms of pedagogy and curricular content if girls are going to break out of existing cultural constraints and become economically empowered. As the program becomes more mature, it would be encouraging to see a greater commitment to impact evaluation so that the critical elements of their approach can be documented as a model for larger scale-up in government schools. 4 In a few cases boys were also provided with scholarships if they could not afford the costs. About 5% of scholarships to date have gone to boys. 12 Table 1. Characteristics of educational programs serving adolescent girls that have a vocational or livelihoods component Number of Programs Percent of all programs Alternative Schools 42 71 Complimentary schools 9 15 Formal schools 21 36 After School programs 12 20 Female Teachers 19 32 Gender Training for Teachers 11 19 Mentoring 18 31 Life Skills 52 88 Girls Only 21 35 Total 59 100 Institutional Settings Other Girl-Friendly Features Source: Lloyd (2009) compendium of 322 educational programs serving adolescent girls in developing countries 13 Figure 1a: Regional school attendance rates 100 90 80 School attendance rates (%) 70 60 50 male 40 female 30 20 10 0 Africa EAP ECA LACAB SAR Africa 12‐16 year olds EAP ECA LACAB 17‐21 year olds Source: Buvinic, Guzman and Lloyd (2007) 14 SAR Figure 1b: Regional labour force participation rates 80 70 Labour force participation rates (%) 60 50 40 male female 30 20 10 0 Africa EAP ECA LACAB SAR Africa 12‐16 year olds EAP ECA LACAB 17‐21 year olds Source: Buvinic, Guzman and Lloyd (2007) 15 SAR female Source: Grant and Behrman (2010) 16 male Bangladesh India Nepal Pakistan Kenya Madagascar Malawi Mozambique Namibia Rwanda Tanzania Uganda Zambia Zimbabwe Benin Burkina Faso Cameroon Chad Cote d'Ivoire Ghana Guinea Mali Niger Nigeria Senegal Bolivia Colombia Dominican Republic Haiti Nicaragua Peru Indonesia Philippines Vietnam Egypt Jordan Morocco Turkey %ge of children aged 16‐18 who entered secondary school, conditional on ever‐enrolment, percentage points, 2000‐2006 Figure 2a: Percentage of children aged 16-18 who entered secondary school, conditional on ever-enrolment, 2000-2006 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 1990‐1997 Source: Grant and Behrman (2010) 17 2000‐2006 Bangladesh India Nepal Pakistan Kenya Madagascar Malawi Mozambique Namibia Rwanda Tanzania Uganda Zambia Zimbabwe Benin Burkina Faso Cameroon Chad Cote d'Ivoire Ghana Guinea Mali Niger Nigeria Senegal Bolivia Colombia Dominican Republic Haiti Nicaragua Peru Indonesia Philippines Vietnam Egypt Jordan Morocco Turkey Gender gap in %ge of children aged 16‐18 who entered secondary school, conditional on ever‐enrolment, percentage points Figure 2b: Change in the gender gap of children aged 16-18 who entered secondary school, conditional on ever-enrolment 25% 20% 15% 10% 5% 0% ‐5% ‐10% ‐15% ‐20% Sub‐Saharan Africa Namibia Madagascar Ethiopia U. R. Tanzania Lesotho Rwanda Niger Mozambique Burkina Faso Mali Senegal Zimbabwe Chad Cameroon Uganda Swaziland Guinea Congo Liberia Malawi D. R. Congo Benin Zambia Côte d'Ivoire Kenya Nigeria Ghana Arab States Jordan Egypt Morocco Central Asia Armenia Azerbaijan East Asia/Pacific Philippines Indonesia Cambodia South/West Asia Pakistan Bangladesh Nepal India Latin America/Caribbean Dominican Rep. Colombia Honduras Haiti Bolivia Centr./East. Europe Ukraine Turkey Secondary completion rate (as a % of all individuals ages 22 to 24) Sub‐Saharan Africa Namibia Madagascar Ethiopia U. R. Tanzania Lesotho Rwanda Niger Mozambique Burkina Faso Mali Senegal Zimbabwe Chad Cameroon Uganda Swaziland Guinea Congo Liberia Malawi D. R. Congo Benin Zambia Côte d'Ivoire Kenya Nigeria Ghana Arab States Jordan Egypt Morocco Central Asia Armenia Azerbaijan East Asia/Pacific Philippines Indonesia Cambodia South/West Asia Pakistan Bangladesh Nepal India Latin America/Caribbean Dominican Rep. Colombia Honduras Haiti Bolivia Centr./East. Europe Ukraine Turkey Secondary completion rate (as a % of all individuals ages 22 to 24) Figure 3a: Secondary completion rate for 22 to 24 year olds, latest year available 100 90 Female Male 80 70 60 50 40 30 20 10 0 Source: DHS datasets, various years Figure 3b: Gender gaps in secondary completion rate for 22 to 24 year olds, latest year available 20 Gender gap (male ‐ female) 15 10 5 0 ‐5 ‐10 ‐15 Source: DHS datasets, various years 18 References Al-Samarrai, Samer. 2007. “Changes in employment in Bangladesh, 2000-2005: the impacts on poverty and gender equity” unpublished manuscript. Aslam, Monazza, Geeta Kingdon and Mans Soderbom. 2008. “Is female education a pathway to gender equality in the labor market? Some evidence from Pakistan” in Marcy Tembon and Lucia Fort (eds.) Girls’ Education in the 21st Century; Gender equality, empowerment and economic growth. Washington, D.C.: World Bank: 67-92. Asadullah, Mohammad. N. and Naxmul Chaudhury. 2006. “Religious schools, social values and economic attitudes; Evidence from Bangladesh” Queen Elizabeth House Working Paper No 139. Oxford. UK. University of Oxford. Asadullah, Mohammad. N, Caqzmul Chaudhury and Amit Dar. 2006. “Student achievement conditioned upon school selection; religious and secular secondary school quality in Bangladesh” Queen Elizabeth House Working Paper No 140. Oxford UK, University of Oxford. Asadullah, Mohammad N. and Namul Chaudhury. 2008. “ Holy Alliances: public subsides, Islamic high schools and female schooling in Bangladesh” in Marcy Tembon and Lucia Fort (eds.) Girls’ Education in the 21st Century; Gender equality, empowerment and economic growth. Washington, D.C.: World Bank: 209-228. Baird, Sarah, Craig McIntosh and Berk Ozler. 2010. “Cash or Conditions? Evidence from a randomized cash transfer program”, World Bank Policy Research Working Paper No.5259. Benavot, Aaron and Julia Resnick. 2006. “Lessons from the past: a comparative sociohistorical analysis of primary and secondary education,” pp. 123-230 in J.E. Cohen, D.E. Bloom and M. B. Malin Eds. Educating all the children; a global agenda. Cambridge, MA. MIT Press. Blau, Francine D. 1997. Trends in the well-being of American women: 1970-1995. (NBER Working Paper No. 6206) Cambridge, MA: National Bureau of Economic Research. Buvinic, Mayra, Juan Carlos Guzman and Cynthia B. Lloyd. 2007. “Gender shapes adolescence” Development Outreach. World Bank, June 2007:12-15. Chaudhury, Nazmul and Dilip Parajuli. 2006. “Conditional cash transfers and female schooling; the impact of the female school stipend program on public school enrollments in Punjab, Pakistan”, World Bank Policy Research Working Paper No. 4102. De Brauw, Alan and John Hoddinott. 2008. “Must conditional cash transfer programs be conditioned to be effective? The impact of conditioning transfers on school enrollment in Mexico” IFPRI Discussion Paper No.00757. Dee, Thomas S. 2007. “Teachers and the gender gaps in student achievement.” Journal of Human Resources, Vol. 42(3):528-554. 19 Evans, David K. and Arkadipta Ghosh. 2008. “Prioritizing educational investment in children in the developing world” Rand labor and Population Working Paper WR-587, June. Filmer, Deon and Norbert Schady. 2008, “Getting girls into school: evidence from a scholarship program in Cambodia” Educational Development and Cultural Change.56: 581617. Goldin, Claudia. 1990. Understanding the gender gap; An economic history of American women. New York: Oxford University Press. Grant, Monica J. and Jere R. Behrman. 2010. “Gender gaps in educational attainment in less developed countries” Population and Development Review. Vol. 36(1): 71-89. Grant, Monica J, Cynthia B. Lloyd and Barbara S. Mensch. 2010. “Gender, Absenteeism and Menstruation: Evidence from Rural Malawi” Paper Presented at Annual Meeting of Population Association of America, Dallas, Tx. April 17, 2010. Handa, Sudhanshu. 2002. “Raising primary school enrolment in developing countries; the relative importance of supply and demand,” Journal of Development Economics, Vol. 69 (103-128). Hanushek, Eric A, Lavy, Victor and Hitomi, Kohtaro. 2008. “Do students care about school quality? Determinants of dropout behavior in developing countries,” Journal of Human Capital. 2(1): 69-105. Hanushek , Eric A. 2006. “School resources” in Handbook of the Economic of Education, Vol.2.Eric A Hanushek and Finis Welch. Eds. Amsterdam: Elsevier. Huisman, Janine and Jeroen Smits. 2009. “Effects of household and district-level factors on primary school enrollment in 30 developing countries” World Development. Vol. 37(1): 179193. Ketel, Herman. 2008. “Evaluation Report; Youth Education Pack in Burundi,” Norwegian Refugee Council. June 2008. Khandker, Shahidur. 1996. “Education achievements and school efficiency in rural Bangladesh” Washington DC: World Bank. Kristof, Nicholas D. and Sheryl WuDunn. 2009. Half the Sky; Turning Oppression into Opportunity fof Women Worldwide. New York: Vintage Books. Lam, David, Murray Leibbrandt and Cecil Mlatsheni. 2009. “Education and Youth Unemployment in South Africa,” in Ravi Kanbur and Jan Svejnar (eds.) Labour Markets and Economic Development, Routledge: 90-109. Lloyd, Cynthia B. and Juliet Young 2009. New Lessons; the power of education adolescent girls. New York: the Population Council. 20 Lloyd, Cynthia B, Barbara S. Mensch and Wesley H. Clark. 2000. “The effects of primary school quality on school dropout among Kenyan girls and boys” Comparative Education Review Vol. 44(2): 113-47. Luo, Zubei and Takanobu Terada. 2009. “Education and Wage Differentials in the Philippines” World Bank Policy Research Working Paper No 5120. Michaelowa, K. 2001. “Primary education quality in Francophone sub-Saharan Africa: determinants of learning achievement and efficiency considerations.” World Development. Vol. 29(1): 1699-1716. National Research Council/Institute of Medicine. 2005. Growing up global; The changing transitions to adulthood in developing countries. Panel on Transitions to Adulthood in Developing Countries. Cynthia B. Lloyd, ed. Committee on Population and Board on Children, Youth and Families. Division of Behavioral and Social Sciences and Education. Washington DC: the National Academies Press. Newhouse, David and Daniel Suryadarma. 2009. “The value of vocational education; high school type and labor market outcomes in Indonesia,” World Bank Policy Research Working Paper No. 5035. Oster, Emily and Rebecca Thornton. 2009. “Menstruation and education in Nepal.” Paper presented at Population Association of America Annual Meeting, Detroit, MI. Psacharopoulos, George and Harry A. Patrinos. 2004. “Returns on investment in education: a further update,” Education Economics, Vol. 12(2): 111-134. Rawlings, Laura B and Gloria M. Rubio. 2005. “Evaluating the impact of conditional cash transfer programs” The World Bank Research Observer. Vol. 20: 29-55. Shiohata, Mariko. 2010. “Exploring the literacy environment: a case study from urban Senegal” Comparative Education Review Vol. 54(2):243-269. Standing, Guy. 1999. “Global Feminization through flexible labor: a theme revisited,” World Development Vol. 27(3): 583-602. World Bank. 2005. Expanding Opportunities and Building Competencies for Young People: a New Agenda for Secondary Education. Washington D.C. World Bank. World Bank. 2006. World Development Report 2007; Development and the Next Generation. Washington, D.C. World Bank. 21
© Copyright 2026 Paperzz