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Remedying Education: Evidence from Two Randomized Experiments in India

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  • Abhijit Banerjee
  • Shawn Cole
  • Esther Duflo
  • Leigh Linden

Abstract

Many efforts to improve school quality by adding school resources have proven to be ineffective. This paper presents the results of two experiments conducted in Mumbai and Vadodara, India, designed to evaluate ways to improve the quality of education in urban slums. A remedial education program hired young women from the community to teach basic literacy and numeracy skills to children lagging behind in government schools. We find the program to be very effective: it increased average test scores of all children in treatment schools by 0.14 standard deviations in the first year, and 0.28 in the second year, relative to comparison schools. A computer-assisted learning program provided each child in the fourth grade with two hours of shared computer time per week, in which students played educational games that reinforced mathematics skills. The program was also very effective, increasing math scores by 0.35 standard deviations the first year, and 0.47 the second year. These results were not limited to the period in which students received assistance, but persisted for at least one year after leaving the program. Two instrumental variable strategies suggest that while remedial education benefited the children who attended the remedial classes, their classmates, who did not attend the remedial courses but did experience smaller classes, did not post gains, confirming that resources alone may not be sufficient to improve outcomes.

Suggested Citation

  • Abhijit Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2005. "Remedying Education: Evidence from Two Randomized Experiments in India," NBER Working Papers 11904, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:11904
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    References listed on IDEAS

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    1. Hanushek, Eric A, 1995. "Interpreting Recent Research on Schooling in Developing Countries," World Bank Research Observer, World Bank Group, vol. 10(2), pages 227-246, August.
    2. Michael Kremer & Edward Miguel & Rebecca Thornton, 2009. "Incentives to Learn," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 437-456, August.
    3. Glewwe, Paul & Kremer, Michael & Moulin, Sylvie & Zitzewitz, Eric, 2004. "Retrospective vs. prospective analyses of school inputs: the case of flip charts in Kenya," Journal of Development Economics, Elsevier, vol. 74(1), pages 251-268, June.
    4. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
    5. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    6. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    7. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    8. Michael Kremer, 2003. "Randomized Evaluations of Educational Programs in Developing Countries: Some Lessons," American Economic Review, American Economic Association, vol. 93(2), pages 102-106, May.
    9. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
    10. Kremer, Michael Robert & Miguel, Edward A. & Thorton, Rebecca L, 2004. "Incentives to Learn," Department of Economics, Working Paper Series qt9kc4p47q, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    11. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
    12. Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
    13. Michael Kremer & Nazmul Chaudhury & F. Halsey Rogers & Karthik Muralidharan & Jeffrey Hammer, 2005. "Teacher Absence in India: A Snapshot," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 658-667, 04/05.
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    More about this item

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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