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A mathematical analysis of the learning production process and a model for determining what matters in education

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  • Bacdayan, Andrew W.

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  • Bacdayan, Andrew W., 1997. "A mathematical analysis of the learning production process and a model for determining what matters in education," Economics of Education Review, Elsevier, vol. 16(1), pages 25-37, February.
    • Handle: RePEc:eee:ecoedu:v:16:y:1997:i:1:p:25-37
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    1. Bacdayan, Andrew W., 1994. "Time-denominated achievement cost curves, learning differences and individualized instruction," Economics of Education Review, Elsevier, vol. 13(1), pages 43-53, March.
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    Cited by:

    1. Ross Guest, 2001. "The Instructor's Optimal Mix of Teaching Methods," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 313-326.
    2. Gomis-Porqueras, Pedro & Rodrigues-Neto, José A., 2018. "Teaching technologies, attendance, learning and the optimal level of access to online materials," Economic Modelling, Elsevier, vol. 73(C), pages 329-342.
    3. Robert Baumann & David Chu & Charles Anderton, 2009. "Religious penalty in the U.S. News & World Report college rankings," Education Economics, Taylor & Francis Journals, vol. 17(4), pages 491-504.
    4. Carmen Lamagna & Sheikh Selim, 2005. "Heterogeneous Students, Impartial Teaching and Optimal Allocation of Teaching Methods," General Economics and Teaching 0503011, University Library of Munich, Germany.
    5. M J Mancebón & M A Muñiz, 2008. "Private versus public high schools in Spain: disentangling managerial and programme efficiencies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 892-901, July.
    6. José Manuel Cordero Ferrera & Francisco Pedraja Chaparro & Javier Salinas Jiménez, 2005. "Secondary schools efficiencyand non-controllable inputs: sensibility of the results to different DEA model specifications," Hacienda Pública Española / Review of Public Economics, IEF, vol. 173(2), pages 61-83, June.

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