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Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching

Author

Listed:
  • Shapiro, Joseph
  • Trevino, Jorge Moreno
Abstract
The authors use propensity score matching to evaluate the effectiveness of CONAFE, a compensatory education program in Mexico, in improving student test scores and lowering repetition and failure rates. They find that CONAFE is most effective in improving primary school math learning and secondary school Spanish learning. Secondary education delivered by way of television to remote communities and bilingual education for indigenous students are both shown to improve student achievement. CONAFE also lowers primary school repetition and failure rates. The authors conclude that this compensatory education program can effectively improve short-term learning results for disadvantaged students, but that improvement varies by the subject of instruction and the demographics of students taught.

Suggested Citation

  • Shapiro, Joseph & Trevino, Jorge Moreno, 2004. "Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching," Policy Research Working Paper Series 3334, The World Bank.
  • Handle: RePEc:wbk:wbrwps:3334
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    References listed on IDEAS

    as
    1. Currie, Janet & Thomas, Duncan, 1999. "Does Head Start help hispanic children?," Journal of Public Economics, Elsevier, vol. 74(2), pages 235-262, November.
    2. Eliana Garces & Duncan Thomas & Janet Currie, 2002. "Longer-Term Effects of Head Start," American Economic Review, American Economic Association, vol. 92(4), pages 999-1012, September.
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    6. Paqueo, Vicente & Lopez-Acevedo, Gladys, 2003. "Supply-side school improvement and the learning achievement of the poorest children in indigenous and rural schools - the case of PARE," Policy Research Working Paper Series 3172, The World Bank.
    7. Currie, Janet & Neidell, Matthew, 2007. "Getting inside the "Black Box" of Head Start quality: What matters and what doesn't," Economics of Education Review, Elsevier, vol. 26(1), pages 83-99, February.
    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. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    10. Park, Albert & Wang, Sangui & Wu, Guobao, 2002. "Regional poverty targeting in China," Journal of Public Economics, Elsevier, vol. 86(1), pages 123-153, October.
    11. John Newman & Menno Pradhan & Laura B. Rawlings & Geert Ridder & Ramiro Coa & Jose Luis Evia, 2002. "An Impact Evaluation of Education, Health, and Water Supply Investments by the Bolivian Social Investment Fund," The World Bank Economic Review, World Bank, vol. 16(2), pages 241-274, August.
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    Citations

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    Cited by:

    1. Emanuela di Gropello, 2006. "Meeting the Challenges of Secondary Education in Latin America and East Asia : Improving Efficiency and Resource Mobilization," World Bank Publications - Books, The World Bank Group, number 7173.
    2. Bouillon, César P. & Tejerina, Luis, 2006. "Do We Know What Works?: A Systematic Review of Impact Evaluations of Social Programs in Latin America and the Caribbean. Latest version," IDB Publications (Working Papers) 4297, Inter-American Development Bank.
    3. Valdivia, Martín, 2009. "Contracting the Road to Development: Early Impacts of a Rural Roads Program," Research Department working papers 203, CAF Development Bank Of Latinamerica.
    4. Laurent Davezies & Manon Garrouste, 2020. "More Harm than Good?: Sorting Effects in a Compensatory Education Program," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 240-277.
    5. Marco Manacorda, 2012. "The Cost of Grade Retention," The Review of Economics and Statistics, MIT Press, vol. 94(2), pages 596-606, May.
    6. Harold Alderman, 2011. "No Small Matter : The Impact of Poverty, Shocks, and Human Capital Investments in Early Childhood Development," World Bank Publications - Books, The World Bank Group, number 2266.
    7. Milu Muyanga & John Olwande & Esther Mueni & Stella Wambugu, 2010. "Free Primary Education in Kenya: An Impact Evaluation Using Propensity Score Methods," Working Papers PMMA 2010-08, PEP-PMMA.
    8. Gertler, Paul J. & Patrinos, Harry Anthony & Rubio-Codina, Marta, 2012. "Empowering parents to improve education: Evidence from rural Mexico," Journal of Development Economics, Elsevier, vol. 99(1), pages 68-79.
    9. Gauri Khanna, 2008. "The Impact on Child Health from Access to Water and Sanitation and Other Socioeconomic Factors," IHEID Working Papers 02-2008, Economics Section, The Graduate Institute of International Studies, revised Jan 2008.
    10. César P. Bouillon & Luis Tejerina, 2006. "Do We Know What Works?: A Systematic Review of Impact Evaluations of Social Programs in Latin America and the Caribbean," IDB Publications (Working Papers) 80443, Inter-American Development Bank.
    11. World Bank, 2005. "Mexico : Determinants of Learning Policy Note," World Bank Publications - Reports 8284, The World Bank Group.
    12. Hernandez-Zavala, Martha & Patrinos, Harry Anthony & Sakellariou, Chris & Shapiro, Joseph, 2006. "Quality of schooling and quality of schools for indigenous students in Guatemala, Mexico, and Peru," Policy Research Working Paper Series 3982, The World Bank.
    13. F.Rosati & M. Rossi, 2007. "Impact of school quality on child labor and school attendance: the case of CONAFE Compensatory Education Program in Mexico," UCW Working Paper 21, Understanding Children's Work (UCW Programme).

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