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

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

Across Latin America, school dropout is a growing concern, because of its negative social and economic consequences. Although a wide range of interventions hold potential to reduce dropout rates, policy makers in many countries must first address t...

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Bibliographic Details
Main Authors: Adelman, Melissa, Haimovich, Francisco, Ham, Andres, Vazquez, Emmanuel
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2017
Subjects:
DROPOUT RATES
SCHOOL ENROLLMENT
SECONDARY EDUCATION
PREDICTIVE MODEL
Online Access:http://documents.worldbank.org/curated/en/273541499700395624/Predicting-school-dropout-with-administrative-data-new-evidence-from-Guatemala-and-Honduras
http://hdl.handle.net/10986/27645

Internet

http://documents.worldbank.org/curated/en/273541499700395624/Predicting-school-dropout-with-administrative-data-new-evidence-from-Guatemala-and-Honduras
http://hdl.handle.net/10986/27645

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