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...
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| Format: | Working Paper |
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World Bank, Washington, DC
2021
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| 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 |
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okr-10986-357222021-06-11T05:11:25Z Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial Haimovich, Francisco Vazquez, Emmanuel Adelman, Melissa SCHOOL DROPOUT SCHOOL MANAGEMENT EDUCATION MANAGEMENT INFORMATION SYSTEM SECONDARY EDUCATION 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. 2021-06-10T13:38:55Z 2021-06-10T13:38:55Z 2021-06 Working Paper 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 English Policy Research Working Paper;No. 9685 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Latin America & Caribbean Guatemala |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
SCHOOL DROPOUT SCHOOL MANAGEMENT EDUCATION MANAGEMENT INFORMATION SYSTEM SECONDARY EDUCATION |
| spellingShingle |
SCHOOL DROPOUT SCHOOL MANAGEMENT EDUCATION MANAGEMENT INFORMATION SYSTEM SECONDARY EDUCATION Haimovich, Francisco Vazquez, Emmanuel Adelman, Melissa Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial |
| geographic_facet |
Latin America & Caribbean Guatemala |
| relation |
Policy Research Working Paper;No. 9685 |
| description |
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. |
| format |
Working Paper |
| author |
Haimovich, Francisco Vazquez, Emmanuel Adelman, Melissa |
| author_facet |
Haimovich, Francisco Vazquez, Emmanuel Adelman, Melissa |
| author_sort |
Haimovich, Francisco |
| title |
Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial |
| title_short |
Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial |
| title_full |
Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial |
| title_fullStr |
Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial |
| title_full_unstemmed |
Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial |
| title_sort |
scalable early warning systems for school dropout prevention : evidence from a 4.000-school randomized controlled trial |
| publisher |
World Bank, Washington, DC |
| publishDate |
2021 |
| url |
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 |
| _version_ |
1764483646719262720 |