Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras

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 pape...

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Main Authors:	Adelman, Melissa, Haimovich, Francisco, Ham, Andres, Vazquez, Emmanuel
Format:	Journal Article
Published:	Taylor and Francis 2018
Subjects:	DROPOUT RATE SCHOOL ADMINISTRATION PRIMARY EDUCATION SECONDARY EDUCATION PREDICTION EARLY WARNING SYSTEM ENROLLMENT BASIC EDUCATION
Online Access:	http://hdl.handle.net/10986/30146

id	okr-10986-30146
recordtype	oai_dc
spelling	okr-10986-301462021-05-25T10:54:40Z Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras Adelman, Melissa Haimovich, Francisco Ham, Andres Vazquez, Emmanuel DROPOUT RATE SCHOOL ADMINISTRATION PRIMARY EDUCATION SECONDARY EDUCATION PREDICTION EARLY WARNING SYSTEM ENROLLMENT BASIC EDUCATION 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. 2018-08-06T18:51:06Z 2018-08-06T18:51:06Z 2018 Journal Article Education Economics 0964-5292 http://hdl.handle.net/10986/30146 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Taylor and Francis Publications & Research Publications & Research :: Journal Article Latin America & Caribbean Central America Guatemala Honduras
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
topic	DROPOUT RATE SCHOOL ADMINISTRATION PRIMARY EDUCATION SECONDARY EDUCATION PREDICTION EARLY WARNING SYSTEM ENROLLMENT BASIC EDUCATION
spellingShingle	DROPOUT RATE SCHOOL ADMINISTRATION PRIMARY EDUCATION SECONDARY EDUCATION PREDICTION EARLY WARNING SYSTEM ENROLLMENT BASIC EDUCATION Adelman, Melissa Haimovich, Francisco Ham, Andres Vazquez, Emmanuel Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras
geographic_facet	Latin America & Caribbean Central America Guatemala Honduras
description	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.
format	Journal Article
author	Adelman, Melissa Haimovich, Francisco Ham, Andres Vazquez, Emmanuel
author_facet	Adelman, Melissa Haimovich, Francisco Ham, Andres Vazquez, Emmanuel
author_sort	Adelman, Melissa
title	Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras
title_short	Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras
title_full	Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras
title_fullStr	Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras
title_full_unstemmed	Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras
title_sort	predicting school dropout with administrative data : new evidence from guatemala and honduras
publisher	Taylor and Francis
publishDate	2018
url	http://hdl.handle.net/10986/30146
_version_	1764471422926716928

Predicting School Dropout with Administrative Data : New Evidence from Guatemala and Honduras

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