Person:
Filmer, Deon
Author Name Variants
Fields of Specialization
Education,
Evidence-based public policy,
Inequality and shared prosperity,
Jobs and poverty,
Social protection and labor,
Social Protection and Growth
Degrees
ORCID
External Links
Departments
Development Research Group
Externally Hosted Work
Contact Information
Last updated
August 31, 2023
Biography
Deon Filmer is a Lead Economist in the Research Group at the World Bank and Co-Director of the World Development Report 2018 Learning to Realize Education’s Promise. He has also previously served as Lead Economist in the Human Development department of the Africa Region of the World Bank. He works on issues of human capital and skills, service delivery, and the impact of policies and programs to improve human development outcomes—with research spanning the areas of education, health, social protection, and poverty and inequality. He has published widely in refereed journals, including studies of the impact of demand-side programs on schooling and learning; the roles of poverty, gender, orphanhood, and disability in explaining education inequalities; and the determinants of effective service delivery. He has recently co-authored the following books: Making Schools Work: New Evidence from Accountability Reforms, Youth Employment in Sub-Saharan Africa, and From Mines and Wells to Well-Built Minds: Turning Sub-Saharan Africa's Natural Resource Wealth into Human Capital. He was a core team member of the World Bank's World Development Reports in 1995 Workers in an Integrating World and 2004 Making Services Work for Poor People, and a contributor to 2007’s report Development and the Next Generation. He holds a PhD and MA from Brown University and a BA from Tufts University.
Publication Search Results
1 - 5 of 5
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Publication
Learning-Adjusted Years of Schooling: Defining A New Macro Measure of Education
(World Bank, Washington, DC, 2018-09)The standard summary metric of education-based human capital used in macro analyses—the average number of years of schooling in a population—is based only on quantity. But ignoring schooling quality turns out to be a major omission. As recent research shows, students in different countries who have completed the same number of years of school often have vastly different learning outcomes. This paper therefore proposes a new summary measure, Learning-Adjusted Years of Schooling (LAYS), that combines quantity and quality of schooling into a single easy-to-understand metric of progress. The cross-country comparisons produced by this measure are robust to different ways of adjusting for learning (for example, by using different international assessments or different summary learning indicators), and the assumptions and implications of LAYS are consistent with other evidence, including other approaches to quality adjustment. The paper argues that (1) LAYS improves on the standard metric, because it is a better predictor of important outcomes, and it improves incentives for policymakers; and (2) its virtues of simplicity and transparency make it a good candidate summary measure of education. -
Publication
Teacher Performance-Based Incentives and Learning Inequality
(World Bank, Washington, DC, 2020-09)This study evaluates the impacts of low-cost, performance-based incentives in Tanzanian secondary schools. Results from a two-phase randomized trial show that incentives for teachers led to modest average improvements in student achievement across different subjects. Further, withdrawing incentives did not lead to a "discouragement effect" (once incentives were withdrawn, student performance did not fall below pre-baseline levels). Rather, impacts on learning were sustained beyond the intervention period. However, these incentives may have exacerbated learning inequality within and across schools. Increases in learning were concentrated among initially better-performing schools and students. At the same time, learning outcomes may have decreased for schools and students that were lower performing at baseline. Finally, the study finds that incentivizing students without simultaneously incentivizing teachers did not produce observable learning gains. -
Publication
Learning-adjusted years of schooling: Defining a new macro measure of education
(Elsevier, 2020-08-01)The standard summary metric of education-based human capital used in macro analyses is a quantity-based one: The average number of years of schooling in a population. But as recent research shows, students in different countries who have completed the same number of years of school often have vastly different learning outcomes. We therefore propose a new summary measure, the Learning-Adjusted Years of Schooling (LAYS). This measure combines quantity and quality of schooling into a single easy-to-understand metric of progress, revealing considerably larger cross-country education gaps than the standard metric. We show that the comparisons produced by this measure are robust to different ways of adjusting for learning and that LAYS is consistent with other evidence, including other approaches to quality adjustment. Like other learning measures, LAYS reflects learning, and barriers to learning, both inside and outside of school; also, cross-country comparability of LAYS rests on assumptions related to learning trajectories and the validity, reliability, and comparability of test data. Acknowledging these limitations, we argue that LAYS nonetheless improves on the standard metric in key ways. -
Publication
How to Improve Education Outcomes Most Efficiently? A Comparison of 150 Interventions Using the New Learning-Adjusted Years of Schooling Metric
(World Bank, Washington, DC, 2020-10)Many low- and middle-income countries lag far behind high-income countries in educational access and student learning. Limited resources mean that policymakers must make tough choices about which investments to make to improve education. Although hundreds of education interventions have been rigorously evaluated, making comparisons between the results is challenging. Some studies report changes in years of schooling; others report changes in learning. Standard deviations, the metric typically used to report learning gains, measure gains relative to a local distribution of test scores. This metric makes it hard to judge if the gain is worth the cost in absolute terms. This paper proposes using learning-adjusted years of schooling (LAYS) -- which combines access and quality and compares gains to an absolute, cross-country standard -- as a new metric for reporting gains from education interventions. The paper applies LAYS to compare the effectiveness (and cost-effectiveness, where cost is available) of interventions from 150 impact evaluations across 46 countries. The results show that some of the most cost-effective programs deliver the equivalent of three additional years of high-quality schooling (that is, schooling at quality comparable to the highest-performing education systems) for just $100 per child -- compared with zero years for other classes of interventions. -
Publication
Preparation, Practice, and Beliefs: A Machine Learning Approach to Understanding Teacher Effectiveness
(World Bank, Washington, DC, 2021-11)This paper uses machine learning methods to identify key predictors of teacher effectiveness, proxied by student learning gains linked to a teacher over an academic year. Conditional inference forests and the least absolute shrinkage and selection operator are applied to matched student-teacher data for math and Kiswahili from grades 2 and 3 in 392 schools across Tanzania. These two machine learning methods produce consistent results and outperform standard ordinary least squares in out-of-sample prediction by 14–24 percent. As in previous research, commonly used teacher covariates like teacher gender, education, experience, and so forth are not good predictors of teacher effectiveness. Instead, teacher practice (what teachers do, measured through classroom observations and student surveys) and teacher beliefs (measured through teacher surveys) emerge as much more important. Overall, teacher covariates are stronger predictors of teacher effectiveness in math than in Kiswahili. Teacher beliefs that they can help disadvantaged and struggling students learn (for math) and they have good relationships within schools (for Kiswahili), teacher practice of providing written feedback and reviewing key concepts at the end of class (for math), and spending extra time with struggling students (for Kiswahili) are highly predictive of teacher effectiveness. As is teacher preparation on how to teach foundational topics (for both Math and Kiswahili). These results demonstrate the need to pay more systematic attention to teacher preparation, practice, and beliefs in teacher research and policy.