IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

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

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

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).

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6VB9-4XX15X9-2/2/79b7a22ecab55a454bbc3011094140e9
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

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

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

as
in new window

Handle: RePEc:eee:ecoedu:v:29:y:2010:i:4:p:669-683
Contact details of provider: Web page: http://www.elsevier.com/locate/econedurev

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Esther Duflo & Abhijit Banerjee & Shawn Cole & Leigh Linden, 2006. "Remedying Education: Evidence from Two Randomised Experiments in India," Working Papers id:360, eSocialSciences.
  2. Abhijit V. Banerjee & Rukmini Banerji & Esther Duflo & Rachel Glennerster & Stuti Khemani, 2010. "Pitfalls of Participatory Programs: Evidence from a Randomized Evaluation in Education in India," American Economic Journal: Economic Policy, American Economic Association, vol. 2(1), pages 1-30, February.
  3. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
  4. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  5. 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.
  6. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages F34-F63, February.
  7. 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.
  8. Esther Duflo & Rema Hanna, 2005. "Monitoring Works: Getting Teachers to Come to School," NBER Working Papers 11880, National Bureau of Economic Research, Inc.
  9. 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.
  10. Hotz, V. Joseph & Crump, Richard K. & Mitnik, Oscar A. & Imbens, Guido, 2009. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Scholarly Articles 3007645, Harvard University Department of Economics.
  11. 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.
  12. Lockheed, Marlaine E. & Qinghua Zhao, 1992. "The empty opportunity : local control of secondary schools and student achievement in the Philippines," Policy Research Working Paper Series 825, The World Bank.
  13. Das, Jishnu & Pandey, Priyanka & Zajonc, Tristan, 2006. "Learning levels and gaps in Pakistan," Policy Research Working Paper Series 4067, The World Bank.
  14. 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.
  15. 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.
  16. Milagros Nores & Steven W. Barnett, 2012. "Benefits of Early Childhood Interventions Across the World: (Under) Investing in the Very Young," Educational Studies, Higher School of Economics, issue 1, pages 200-228.
  17. 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.
  18. 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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:29:y:2010:i:4:p:669-683. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.