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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. Touati-Tliba, Mohamed, 2024. "Comparative performance of Algeria's education districts: The Influence of colonial legacy through cultural capital," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    14. Elasra, Amira, 2024. "Comparing High Achievers to Low Achievers : An Examination of Student Inputs versus School Inputs in the Educational Outcomes of English Adolescent," The Warwick Economics Research Paper Series (TWERPS) 1503, University of Warwick, Department of Economics.
    15. 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.
    16. 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).
    17. 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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