Title: Balsakhi

Type Dataset Banerjee, Abhijit, Cole, Shawn, Duflo, Esther, Linden, Leigh (2017): Balsakhi. Harvard Dataverse. Dataset. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UV7ERB

Authors: Banerjee, Abhijit (Massachusetts Institute of Technology) ; Cole, Shawn (Harvard Business School) ; Duflo, Esther (Massachusetts Institute of Technology) ; Linden, Leigh (University of Texas at Austin) ; Banerjee, Abhijit (Massachusetts Institute of Technology) ; Cole, Shawn (Harvard Business School) ; Duflo, Esther (Massachusetts Institute of Technology) ; Linden, Leigh (University of Texas at Austin) ;

Links

• Item record in Abdul Latif Jameel Poverty Action Lab Dataverse
• Digital object URL

Summary

This paper presents the results of two randomized experiments conducted in schools in urban India. A remedial education program hired young women to teach students lagging behind in basic literacy and numeracy skills. It increased average test scores of all children in treatment schools by 0.28 standard deviation, mostly due to large gains experienced by children at the bottom of the test-score distribution. A computer-assisted learning program focusing on math increased math scores by 0.47 standard deviation. One year after the programs were over, initial gains remained significant for targeted children, but they faded to about 0.10 standard deviation.

More information

• DOI: 10.7910/DVN/UV7ERB

Subjects

• Social Sciences

Dates

• Publication date: 2017
• Submitted: April 06, 2017
• Updated: June 24, 2019

Rights

• info:eu-repo/semantics/openAccess
• http://creativecommons.org/publicdomain/zero/1.0 CC0 1.0

Alternatetitles

• AlternativeTitle: Remedying Education: Evidence from Two Randomized Experiments in India

Format

electronic resource

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