Scalable Early Warning Systems for School Dropout prevention: Evidence from a 4.000-School Randomized Controlled Trial
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- Haimovich Paz,Francisco & Vazquez,Emmanuel Jose & Adelman,Melissa Ann, 2021. "Scalable Early Warning Systems for School Dropout Prevention : Evidence from a 4.000-School Randomized Controlled Trial," Policy Research Working Paper Series 9685, The World Bank.
- Francisco Haimovich & Emmanuel Vazquez & Melissa Adelman, 2021. "Scalable Early Warning Systems for School Dropout prevention: Evidence from a 4.000-School Randomized Controlled Trial," CEDLAS, Working Papers 0285, CEDLAS, Universidad Nacional de La Plata.
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Cited by:
- Hazal Colak Oz & Çiçek Güven & Gonzalo Nápoles, 2023. "School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach," Journal of Computational Social Science, Springer, vol. 6(1), pages 245-287, April.
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More about this item
Keywords
Dropout prevention; Early Warning; Impact Evaluation; School Management; Guatemala;All these keywords.
JEL classification:
- I2 - Health, Education, and Welfare - - Education
- I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2023-04-10 (Experimental Economics)
- NEP-URE-2023-04-10 (Urban and Real Estate Economics)
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