Person:
Adelman, Melissa
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Education Global Practice, West Africa Region, World Bank
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Last updated
January 31, 2023
Biography
Melissa Adelman is a Senior Economist in the World Bank Education Global Practice where she has led analytical and operational activities in diverse contexts, including the Democratic Republic of Congo, the Dominican Republic, Haiti, and Guatemala. Melissa also serves as a Thematic Lead on the topic of Management Capacity and Service Delivery for the Global Practice, advising teams and counterparts on school and system management issues. Before joining the World Bank in 2012, Melissa was a management consultant at Bain & Company in the United States and India. Melissa holds a PhD in Economics from Harvard University
Publication Search Results
1 - 8 of 8
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Publication
Increasing Access by Waiving Tuition : Evidence from Haiti
(World Bank Group, Washington, DC, 2015-01)Despite impressive gains in increasing access to school over the past 20 years, an estimated 57 million children worldwide do not go to school. Abolishing school fees has increased enrollment rates in several countries where enrollments were low and school fees were high. However, such policies may be less effective, or even have negative consequences, when supply-side responses are weak. This paper evaluates the school-level impacts of a tuition waiver program in Haiti, which provided public financing to nonpublic schools conditional on these schools not charging tuition. The paper concludes that a school's participation in the program results in having more students enrolled, more staff, and slightly higher student-teacher ratios. The program also reduces grade repetition and the share of students who are over-age. Although the increase in students at participating schools does not directly equate to a reduction in the number of children out of school, it does demonstrate strong demand from families for the program, and a correspondingly strong supply response from the nonpublic sector. -
Publication
Why Do Students Learn so Little?: Seeking Answers Inside Haiti's Classrooms
(World Bank, Washington, DC, 2015-05)The Haitian education system made substantial improvements in access over the last decade, such that today the majority of Haiti’s children are in school. Despite improvements, the primary education system is highly inefficient: children start primary school 2 years late on average, and fewer than 60 percent will reach the last grade of the cycle. At each school, classroom observations were conducted using the Stallings Classroom Snapshot instrument, and questions about the school calendar and daily schedule asked. The results provide a representative picture of class time and teacher classroom practice in the Nord and Nord Est departments, and while not representative of Haiti as a whole, do provide a starting point for better understanding the major constraint to achieving a high-quality education for all children: the quality of teacher instruction. Section two describes the sample of schools and the stallings instrument; sections three and four present the main results of the classroom observations on teacher time use and pedagogical practices; section five provides estimates of overall class time that students receive; and section six concludes. -
Publication
School Dropout in Central America: An Overview of Trends, Causes, Consequences, and Promising Interventions
(World Bank, Washington, DC, 2016-02)School dropout is a growing concern in Central America, and in Latin America as a whole, because of its consequences for economic productivity, the inclusiveness of growth, social cohesion, and increasing youth risks. This paper utilizes more than two decades of household survey data to construct a systematic overview of school dropout at the primary and secondary levels in Central America, including recent trends, causes and consequences, and evidence on what works to reduce dropout. Within each country, poverty, rurality, and indigenous group membership are the strongest correlates of dropout, reflecting several underlying factors that affect the marginal benefits and costs of staying in school. Global and regional evidence increasingly points to common policy priorities for reducing dropout across Central America, including addressing remaining gaps in access at the pre-primary and secondary levels, improving the quality of education at all levels, and strengthening the coverage, targeting, and coherence of existing programs aimed at improving education outcomes. However, additional rigorous evaluations, including cost data, are needed to identify the most effective specific approaches in each country. -
Publication
Predicting School Dropout with Administrative Data: New Evidence from Guatemala and Honduras
(Taylor and Francis, 2018)School dropout is a growing concern across Latin America because of its negative social and economic consequences. Identifying who is likely to drop out, and therefore could be targeted for interventions, is a well-studied prediction problem in countries with strong administrative data. In this paper, we use new data in Guatemala and Honduras to estimate some of the first dropout prediction models for lower-middle income countries. These models correctly identify 80% of sixth grade students who will drop out within the next year, performing better than other commonly used targeting approaches and as well as models used in the United States. -
Publication
Haiti: Can Preconditions for RBF be Established in Fragile States?
(World Bank, Washington, DC, 2018-09)The Results in Education for All Children (REACH) Trust Fund at the World Bank provided funding to the Government of Haiti with the goal of establishing the preconditions for the adoption of RBF in the Haitian National Ministry of Education and Professional Training (Ministère de l'Education National et de la Formation Professionnelle, MENFP). To this end, the grant funded the development of a quality assurance system (QAS) based on specific standards for the most important dimensions of educational quality in the country. The idea was to include clear indicators for each quality dimension that would make it possible to measure education results on the ground. The grant also funded a series of complementary activities aimed at strengthening the technical capacity of MENFP staff to define and measure quality. By developing a QAS for all primary schools in the country, the grant aimed to improve governance, enhance the data systems needed to measure results, and establish the preconditions necessary to introduce an RBF mechanism in the education sector in Haiti. -
Publication
Predicting School Dropout with Administrative Data: New Evidence from Guatemala and Honduras
(World Bank, Washington, DC, 2017-07)Across Latin America, school dropout is a growing concern, because of its negative social and economic consequences. Although a wide range of interventions hold potential to reduce dropout rates, policy makers in many countries must first address the basic question of how to target limited resources effectively for such interventions. Identifying who is most likely to drop out and, therefore, who should be prioritized for targeting, is a prediction problem that has been addressed in a rich set of research in countries with strong education system data. This paper makes use of newly established administrative data systems in Guatemala and Honduras, to estimate some of the first dropout prediction models for lower-middle-income countries. These models can correctly identify 80 percent of sixth grade students who will drop out in the transition to lower secondary school, performing as well as models used in the United States and providing more accurate results than other commonly used targeting approaches. -
Publication
Scalable Early Warning Systems for School Dropout Prevention: Evidence from a 4.000-School Randomized Controlled Trial
(World Bank, Washington, DC, 2021-06)Across many low- and middle-income countries, a sizable share of young people drop out of school before completing a full course of basic education. Early warning systems that accurately identify students at risk of dropout and support them with targeted interventions have shown results and are in widespread use in high-income contexts. This paper presents impact evaluation results from an early warning system pilot program in Guatemala, a middle-income country where nearly 40 percent of sixth graders drop out before completing ninth grade. The pilot program, which was implemented in 17 percent of Guatemala’s primary schools and largely leveraging existing government resources, reduced the dropout rate in the transition from primary to lower secondary school by 4 percent (1.3 percentage points) among schools assigned to the program, and by 9 percent (3 percentage points) among program compliers. Although the effect size is relatively modest, the low cost of the program (estimated at less than US$3 per student) and successful implementation at scale make this a promising and cost-effective approach for reducing dropout in resource-constrained contexts like Guatemala. -
Publication
Managing for Learning: Measuring and Strengthening Education Management in Latin America and the Caribbean
(Washington, DC: World Bank, 2021-04-28)How can countries make sustainable gains in student learning at scale? This is a pressing question for Latin America and the Caribbean (LAC) – and the developing world more broadly – as countries seek to build human capital to drive sustainable growth. Significant progress in access has expanded coverage such that nearly all children in the region attend primary school, but many do not gain basic skills and drop out before completing secondary school, in part due to low-quality service delivery. The preponderance of evidence shows that it is learning – and not schooling in and of itself – that contributes to individual earnings, economic growth, and reduced inequality. For LAC in particular, low levels of human capital are a critical factor in explaining the region’s relatively weak growth performance over the last half century. The easily measurable inputs are well-known, and the end goal is relatively clear, but raising student achievement at scale remains a challenge. Why? We propose that part of the answer lies in management – the processes and practices that guide how inputs into the education system are translated into outputs, and ultimately outcomes. While management (and related concepts, such as institutions, governance, or leadership) is often mentioned as an important factor in education policy discussions, relatively little quantitative research has been done to define and measure it. And even less has been done to unpack how and how much management matters for education quality. In this study, we begin filling these gaps, with new conceptual and empirical contributions that can be synthesized in four key messages: (1) Student learning is unlikely to improve at scale without better management. (2) Management affects how well every level of an education system functions, from individual schools to central technical units, and how well they work together. (3) Management quality can be measured and should be measured as a catalyst for improvement. (4) Several pathways to strengthening management are open to LAC countries now, with the potential for significant results. The study elaborates on each of these messages, synthesizing recent data and research and presenting the results of six new papers written to inform this report. The target audience for the Executive Summary is policymakers across LAC (and beyond) who are seeking approaches to strengthening their systems at scale. The target audience for the study overall includes the researchers and technical advisors who work on topics related to education management in development organizations, governments, think tanks, and other institutions across LAC.