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 targeted interventions have shown results and are in w...
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Autores principales: | , , |
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Formato: | Articulo Documento de trabajo |
Lenguaje: | Inglés |
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2021
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/121906 https://www.cedlas.econo.unlp.edu.ar/wp/no-285/ |
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I19-R120-10915-121906 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Económicas Dropout prevention Early warning Impact evaluation School management Guatemala |
spellingShingle |
Ciencias Económicas Dropout prevention Early warning Impact evaluation School management Guatemala Haimovich, Francisco Vazquez, Emmanuel José Adelman, Melissa Scalable early warning systems for school dropout prevention: evidence from a 4.000-school randomized controlled trial |
topic_facet |
Ciencias Económicas Dropout prevention Early warning Impact evaluation School management Guatemala |
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 |
Articulo Documento de trabajo |
author |
Haimovich, Francisco Vazquez, Emmanuel José Adelman, Melissa |
author_facet |
Haimovich, Francisco Vazquez, Emmanuel José 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 |
publishDate |
2021 |
url |
http://sedici.unlp.edu.ar/handle/10915/121906 https://www.cedlas.econo.unlp.edu.ar/wp/no-285/ |
work_keys_str_mv |
AT haimovichfrancisco scalableearlywarningsystemsforschooldropoutpreventionevidencefroma4000schoolrandomizedcontrolledtrial AT vazquezemmanueljose scalableearlywarningsystemsforschooldropoutpreventionevidencefroma4000schoolrandomizedcontrolledtrial AT adelmanmelissa scalableearlywarningsystemsforschooldropoutpreventionevidencefroma4000schoolrandomizedcontrolledtrial |
bdutipo_str |
Repositorios |
_version_ |
1764820449066221570 |