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          "text": "teacher- and teaching-targeted programs such as pedagogy, mother tongue instruction, education technology, teacher incentives and trainings, and hiring practices; (ii) student-level interventions including health and nutrition programs (e.g., school feeding), incentives for students, and individual inputs such as uniforms, solar lamps, or bicycles; and (iii) school-level interventions such as school construction, school grants, public-private partnerships and other non-government school provision, and community-based monitoring. The household-level interventions usually aim to reduce the economic and social barriers that keep households from sending their children to school – providing cash transfers, providing low-cost early child development care centers, and providing learning and attendance information to parents.",
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          "text": "Recent years have also shown growing rigorous evidence for approaches to improve literacy that incorporate a range of elements (see Appendix Table 4). Piper et al. (2014 and 2015) used a randomized controlled trial to evaluate a literacy program in Kenya that included teacher professional development, the provision of textbooks for students (including textbooks in Kiswahili), the provision of structured teacher guides for teachers, and classroom observation and feedback to teachers, among other elements. The program led to sizeable literacy gains. Seeking to isolate the most important elements of the program, Piper et al. (2018b) find that structured teacher guides are the most cost-effective element of the program. The program was effective at boosting literacy for low-income students (Piper et al., 2015). The program was subsequently scaled up nationally and continued to demonstrate literacy gains (Piper et al., 2018a). Similarly, a mathematics-focused version of the program provided teacher guides and teacher professional development training and yielded statistically significant improvements in test scores (Piper et al. 2016a).",
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          "text": "income countries stems from Latin America and do not identify a single paper that predates 2015 in Africa. Since then, several studies have come out, most of which examine the impact of access to early child education (Appendix Table 13). Martinez et al. (2017) use a randomized controlled trial to estimate the impact of community-based preschools in Mozambique and find that enrolled children are much more likely to be in primary school at the right age and that their test scores are higher, with larger effects for children from poorer households. Bietenbeck et al. (2019) take advantage of the expansion of pre-primary education in Kenya and Tanzania to compare siblings with access to siblings without; they find that children with access to preschool education are more likely to be in primary school, more likely to have advanced, and have moderately higher scores on cognitive tests (0.10 standard deviations). Aunio et al. (2019)—with a simple cross-sectional regression approach and the selection challenges that entails—find a significant, positive correlation between kindergarten attendance and later numeracy skill in South Africa, even when controlling for other current skills (language and executive function). Krafft (2015) compares siblings with and without access to early child education in Egypt and finds that access translates to an additional year of total schooling. Woldehanna and Araya (2017) use an instrumental variables approach with Young Lives data in Ethiopia and find that preschool attendees in urban areas are 25 percent more likely to have completed secondary education than non-attendees. Finally, Blimpo et al. (2019a) evaluate random assignment of community-based early child development centers in the Gambia and find that children from less-disadvantaged families do worse, consistent with some evidence from high-income countries (Baker et al., forthcoming).",
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          "text": "Appendix Section 1: Returns to education in Africa—an overview................................................................54\nAppendix Table 1: Returns to education in Africa—recent studies................................................................56\nAppendix Table 2: Papers examined by source............................................................................................58\nAppendix Table 3: Studies on mother tongue instruction in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................59\nAppendix Table 4: Studies on structured pedagogy and other pedagogical interventions in Africa, 2014-2020 (experimental and quasi-experimental)...........................................................................................................62\nAppendix Table 5: Studies on teacher policies in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................67\nAppendix Table 6: Studies on school feeding in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................73\nAppendix Table 7: Studies on education technology in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................75\nAppendix Table 8: Studies on school construction in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................79\nAppendix Table 9: Studies on other inputs in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................81\nAppendix Table 10: Studies on cash transfer in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................83\nAppendix Table 11: Studies on school grants in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................86\nAppendix Table 12: Studies on eliminating school fees in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................87\nAppendix Table 13: Studies on early childhood development and education in Africa, 2014-2020 (experimental and quasi-experimental)...........................................................................................................92\nAppendix Table 14: Studies on girls' education in Africa, 2014-2020 (experimental and quasi-experimental)...................................................................................................................................................95\nAppendix Table 15: Studies on private and other non-government provision of schooling in Africa, 2014-2020 (experimental and quasi-experimental)...........................................................................................97\nAppendix Figure 1: Wage and salaried workers as a percentage of total employment, 2020......................... 99",
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          "text": "Much recent research studies how to improve the quality of education (World Bank, 2018a). What are the returns to quality? There is much less evidence on this in the region, although evidence from high-income countries does show returns to higher quality education (Card and Krueger, 1992). Most studies on the quality",
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          "text": "To expand beyond wage earners, Lehmann-Uschner (2020) estimates the returns to education for self-employed market vendors in rural western Uganda, finding a return of 7 percent to formal education. Kavuma et al. (2015) impute wages for both the self-employed and the wage earners in Uganda, and estimate a return to schooling of 16 percent using a national household survey. Jones et al. (2018) use expenditures per contributing family member in the household rather than wages over three survey rounds in Mozambique and find a return of 10.5 percent points, remarkably similar to the Africa-wide estimate in Psacharopoulos and Patrinos (2018). As access to lower levels of education has risen, they find falling returns, so that “workers today must accumulate more years of schooling to achieve the same expected return as in the past.” This is consistent with recent findings in the Democratic Republic of the Congo (Kuepié and Nordman, 2016) and. While there is some variation across estimates, that is to be expected across different countries, time periods, and samples. Furthermore, Serneels et al. (2016) show using Tanzanian data that estimates vary substantively and significantly (between 6 and 14 percentage points) depending on how the survey measuring wages and education is designed. A few recent papers have explored returns with respect to different outcomes. Woldehanna and Araya (2017) use longitudinal data in Ethiopia to show that access to early child education increases the odds of completing secondary school by a quarter. These estimates suggest significant returns to an additional year of education, including among informal sector workers.",
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          "text": "Recent studies have sought to address each of these challenges in individual countries. In order to overcome self-selection issues, Samahiya (2020) used the compulsory education policy from South Africa in 1996 as a source of exogenous variation in schooling attainment and finds returns of 15.7 percent in monthly earnings, significantly higher than those from simple Mincerian estimates. In the north African country of Tunisia, Pellicer (2018) exploits education policy changes to estimate returns (specifically on the likelihood of public sector employment), showing that they have decreased over time but remain large, with the youngest cohorts seeing a 4 percentage point rise in public sector employment with an additional year of education.",
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