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Characteristics of education production functions: An application of canonical regression analysis

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  • Gyimah-Brempong, Kwabena
  • Gyapong, Anthony O.

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  • Gyimah-Brempong, Kwabena & Gyapong, Anthony O., 1991. "Characteristics of education production functions: An application of canonical regression analysis," Economics of Education Review, Elsevier, vol. 10(1), pages 7-17, March.
  • Handle: RePEc:eee:ecoedu:v:10:y:1991:i:1:p:7-17
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    Cited by:

    1. Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
    2. Aksoy, Tevfik & Link, Charles R., 2000. "A panel analysis of student mathematics achievement in the US in the 1990s: does increasing the amount of time in learning activities affect math achievement?," Economics of Education Review, Elsevier, vol. 19(3), pages 261-277, June.
    3. Ruggiero, John, 1998. "A new approach for technical efficiency estimation in multiple output production," European Journal of Operational Research, Elsevier, vol. 111(2), pages 369-380, December.
    4. Chadi, Adrian & de Pinto, Marco & Schultze, Gabriel, 2019. "Young, gifted and lazy? The role of ability and labor market prospects in student effort decisions," Economics of Education Review, Elsevier, vol. 72(C), pages 66-79.
    5. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    6. M. C. Navarro-Perez & J. M. Serrano-Sanz, 2002. "Evaluating Educational Output: An Estimation Method Based on Cross-Section Data," Education Economics, Taylor & Francis Journals, vol. 10(1), pages 71-95.
    7. Amini, Chiara & Commander, Simon, 2012. "Educational scores: How does Russia fare?," Journal of Comparative Economics, Elsevier, vol. 40(3), pages 508-527.
    8. Dewey, James & Husted, Thomas A. & Kenny, Lawrence W., 1999. "The ineffectiveness of school inputs: a product of misspecification?," Economics of Education Review, Elsevier, vol. 19(1), pages 27-45, February.
    9. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    10. Ogundari, Kolawole, 2021. "A systematic review of statistical methods for estimating an education production function," MPRA Paper 105283, University Library of Munich, Germany.
    11. Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, vol. 16(3), pages 313-327, June.
    12. Ruggiero, John, 2003. "Comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 631-634, December.
    13. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May.
    14. Alejandro Esteller & Albert Solé, 2005. "Does decentralization improve the efficiency in the allocation of public investment? Evidence from Spain," Working Papers 2005/5, Institut d'Economia de Barcelona (IEB).
    15. Unnever, James D. & Kerckhoff, Allan C. & Robinson, Timothy J., 2000. "District variations in educational resources and student outcomes," Economics of Education Review, Elsevier, vol. 19(3), pages 245-259, June.

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