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Using Data Envelopment Analysis to Improve Estimates of Higher Education Institution's Per-student Education Costs

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  • Carlo Salerno

Abstract

This paper puts forth a data envelopment analysis (DEA) approach to estimating higher education institutions' per-student education costs (PSCs) in an effort to redress a number of methodological problems endemic to such estimations, particularly the allocation of shared expenditures between education and other institutional activities. An example is given using data for a sample of higher education institutions in The Netherlands and the results are compared with PSC estimates generated by a more traditional approach. Although several methodological concerns still persist, the use of DEA is argued to increase the likelihood of producing more realistic cost estimates for individual institutions.

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  • Carlo Salerno, 2006. "Using Data Envelopment Analysis to Improve Estimates of Higher Education Institution's Per-student Education Costs," Education Economics, Taylor & Francis Journals, vol. 14(3), pages 281-295.
    • Handle: RePEc:taf:edecon:v:14:y:2006:i:3:p:281-295
    DOI: 10.1080/09645290600777485
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    References listed on IDEAS

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    4. Nerlove, Marc, 1972. "On Tuition and the Costs of Higher Education: Prolegomena to a Conceptual Framework," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 178-218, Part II, .
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    Cited by:

    1. Moncayo–Martínez, Luis A. & Ramírez–Nafarrate, Adrián & Hernández–Balderrama, María Guadalupe, 2020. "Evaluation of public HEI on teaching, research, and knowledge dissemination by Data Envelopment Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Y. c{C}inar, 2016. "Research and Teaching Efficiencies of Turkish Universities with Heterogeneity Considerations: Application of Multi-Activity DEA and DEA by Sequential Exclusion of Alternatives Methods," Papers 1701.07318, arXiv.org.
    3. Maryam Bagherikahvarin & Yves Smet, 2017. "Determining new possible weight values in PROMETHEE: a procedure based on data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 484-495, May.

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