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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.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11904.

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Date of creation: Dec 2005
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Handle: RePEc:nbr:nberwo:11904

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  1. 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.
  2. 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.
  3. Paul Glewwe & Michael Kremer & Sylvie Moulin & Eric Zitzewitz, 2000. "Retrospective vs. Prospective Analyses of School Inputs: The Case of Flip Charts in Kenya," NBER Working Papers 8018, National Bureau of Economic Research, Inc.
  4. 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.
  5. 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, 01.
  6. Michael Kremer & Edward Miguel & Rebecca Thornton, 2004. "Incentives to learn," Natural Field Experiments 00289, The Field Experiments Website.
  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 1141-77, 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. 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.
  10. Eric A. Hanushek, . "Interpreting Recent Research on Schooling in Developing Countries," Wallis Working Papers WP3, University of Rochester - Wallis Institute of Political Economy.
  11. Kremer, Michael Robert & Miguel, Edward A. & Thorton, Rebecca L, 2004. "Incentives to Learn," Center for International and Development Economics Research, Working Paper Series qt9kc4p47q, Center for International and Development Economics Research, Institute for Business and Economic Research, UC Berkeley.
  12. Angrist, Joshua & Lavy, Victor, 2001. "New Evidence on Classroom Computers and Pupil Learning," IZA Discussion Papers 362, Institute for the Study of Labor (IZA).
  13. 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.
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  1. Corrupción y educación: tres historias
    by Francisco Mejía in Hacia el desarrollo efectivo on 2011-05-10 15:00:49
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