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Transforming public schools: Impact of the CRI program on child learning in Pakistan

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  • Naseer, Muhammad Farooq
  • Patnam, Manasa
  • Raza, Reehana R.

Abstract

This paper evaluates the impact of teaching innovations, introduced in public primary schools under the Children Resources International (CRI) Program, on student outcomes. We estimate students' learning based on their scores on standardized tests. We match schools and children within the treatment and comparison group and find that the CRI Program has been effective in raising learning achievement. Moreover, the results are robust to unobserved selection bias. The average gain for a CRI student represents an improvement of 0.40 standard deviations. The results stay unchanged when we use alternative estimators for the treatment effect including the bias-corrected estimator proposed by Abadie and Imbens (2006).

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Bibliographic Info

Article provided by Elsevier in its journal Economics of Education Review.

Volume (Year): 29 (2010)
Issue (Month): 4 (August)
Pages: 669-683

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Handle: RePEc:eee:ecoedu:v:29:y:2010:i:4:p:669-683

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Web page: http://www.elsevier.com/locate/econedurev

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Keywords: Teaching innovations Student learning outcomes Pakistan;

References

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  1. Andrabi, Tahir & Das, Jishnu & Khwaja, Asim Ijaz & Zajonc, Tristan, 2009. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," Working Paper Series rwp09-034, Harvard University, John F. Kennedy School of Government.
  2. Alan B. Krueger, 2002. "Economic Considerations and Class Size," NBER Working Papers 8875, National Bureau of Economic Research, Inc.
  3. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, MIT Press, vol. 122(3), pages 1235-1264, 08.
  4. Esther Duflo & Rema Hanna, 2005. "Monitoring Works: Getting Teachers to Come to School," NBER Working Papers 11880, National Bureau of Economic Research, Inc.
  5. Banerjee, Abhijit V. & Banerji, Rukmini & Duflo, Esther & Glennerster, Rachel & Khemani, Stuti, 2008. "Pitfalls of participatory programs : evidence from a randomized evaluation in education in India," Policy Research Working Paper Series 4584, The World Bank.
  6. Strauss, Robert P. & Bowes, Lori R. & Marks, Mindy S. & Plesko, Mark R., 2000. "Improving teacher preparation and selection: lessons from the Pennsylvania experience," Economics of Education Review, Elsevier, vol. 19(4), pages 387-415, October.
  7. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2004. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Working Papers 0716, University of Miami, Department of Economics, revised 12 Jun 2007.
  8. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
  9. 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.
  10. Chaudhury, Nazmul & Parajuli, Dilip, 2006. "Conditional cash transfers and female schooling : the impact of the female school stipend program on public school enrollments in Punjab, Pakistan," Policy Research Working Paper Series 4102, The World Bank.
  11. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
  12. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  13. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
  14. Das, Jishnu & Pandey, Priyanka & Zajonc, Tristan, 2006. "Learning levels and gaps in Pakistan," Policy Research Working Paper Series 4067, The World Bank.
  15. Petra E. Todd & Jeffrey A. Smith, 2001. "Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods," American Economic Review, American Economic Association, vol. 91(2), pages 112-118, May.
  16. Pritchett, Lant & Filmer, Deon, 1999. "What education production functions really show: a positive theory of education expenditures," Economics of Education Review, Elsevier, vol. 18(2), pages 223-239, April.
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Cited by:
  1. Ghazala Azmat & José G. Montalvo, 2012. "The Role of Awareness, Information Gathering and Processing in School Choice," Working Papers 639, Barcelona Graduate School of Economics.
  2. Masooma Habib, 2013. "Education in Pakistan’s Punjab: Outcomes and Interventions," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(Special E), pages 21-48, September.

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