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Drivers of performance in primary education in Togo

Author

Listed:
  • Johannes G. Hoogeveen

    (World Bank)

  • Mariacristina Rossi

    (University of Torino, CeRP-CCA and Netspar)

  • Dario Sansone

    (Georgetown University)

Abstract

This paper uses new data available from a school census in Togo to analyze differences in primary school performances across regions. Our results, obtained from a stochastic frontier analysis, suggest that differences in efficiency explain only part of the observed variation, while resource availability is the most important driver of performance differences. In addition to this, the paper notes that resources are distributed quite unevenly among regions and schools. By improving access to inputs, particularly in the underserved schools, performance can be expected to go up considerably.

Suggested Citation

  • Johannes G. Hoogeveen & Mariacristina Rossi & Dario Sansone, 2014. "Drivers of performance in primary education in Togo," CeRP Working Papers 145, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    • Handle: RePEc:crp:wpaper:145
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    File URL: http://fileserver.carloalberto.org/cerp/WP_145.pdf
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    References listed on IDEAS

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    1. Johnes, Geraint & Johnes, Jill, 1993. "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 332-347, April.
    2. Sengupta, Jati K. & Sfeir, Raymond E., 1986. "Production frontier estimates of scale in public schools in California," Economics of Education Review, Elsevier, vol. 5(3), pages 297-307, June.
    3. Antreas Athanassopoulos & Estelle Shale, 1997. "Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 117-134.
    4. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
    5. Deller, Steven C. & Rudnicki, Edward, 1993. "Production efficiency in elementary education: The case of Maine public schools," Economics of Education Review, Elsevier, vol. 12(1), pages 45-57, March.
    6. Manuel Coutinho Pereira & Sara Moreira, 2007. "A Stochastic Frontier Analysis of Secondary Education Output in Portugal," Working Papers w200706, Banco de Portugal, Economics and Research Department.
    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. Beasley, J. E., 1990. "Comparing university departments," Omega, Elsevier, vol. 18(2), pages 171-183.
    9. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    10. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    11. Gary Madden & Scott Savage & Steven Kemp, 1997. "Measuring Public Sector Efficiency: A Study of Economics Departments at Australian Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 153-168.
    12. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    14. John CUBBIN & Hadi ZAMANI, 1996. "A Comparison Of Performance Indicators For Training And Enterprise Councils In The Uk," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 67(4), pages 603-632, December.
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    More about this item

    Keywords

    efficiency; education; Togo; stochastic frontier; performances;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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