Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial
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 ta...
| Main Authors: | , , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2021
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/983591622568486300/Scalable-Early-Warning-Systems-for-School-Dropout-Prevention-Evidence-from-a-4-000-School-Randomized-Controlled-Trial http://hdl.handle.net/10986/35722 |
| Summary: | 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. |
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