Applications of data envelopment analysis in education

Emmanuel Thanassoulis; Kristof de Witte; Jill Johnes; Geraint Johnes; Giannis Karagiannis; Conceição S. Portela

doi:10.1007/978-1-4899-7684-0_12

Applications of data envelopment analysis in education

Emmanuel Thanassoulis^*, Kristof de Witte, Jill Johnes, Geraint Johnes, Giannis Karagiannis, Conceição S. Portela

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

Abstract

Non-parametric methods for efficiency evaluation were designed to analyse industries comprising multi-input multi-output producers and lacking data on market prices. Education is a typical example. In this chapter, we review applications of DEA in secondary and tertiary education, focusing on the opportunities that this offers for benchmarking at institutional level. At secondary level, we investigate also the disaggregation of efficiency measures into pupil-level and school-level effects. For higher education, while many analyses concern overall institutional efficiency, we examine also studies that take a more disaggregated approach, centred either around the performance of specific functional areas or that of individual employees.

Original language	English
Title of host publication	Data envelopment analysis
Subtitle of host publication	a handbook of empirical studies and applications
Editors	Joe Zhu
Place of Publication	New York (US)
Publisher	Springer
Pages	367-438
Number of pages	72
ISBN (Electronic)	978-1-4899-7684-0
ISBN (Print)	978-1-4899-7682-6
DOIs	https://doi.org/10.1007/978-1-4899-7684-0_12
Publication status	Published - 23 Mar 2016

Publication series

Name	International Series in Operations Research and Management Science
Publisher	Springer
Volume	238
ISSN (Print)	0884-8289

Keywords

benchmarking
DEA
education
efficiency
higher education efficiency
pupil-level effects
school efficiency

Access to Document

10.1007/978-1-4899-7684-0_12

Cite this

Thanassoulis, E., de Witte, K., Johnes, J., Johnes, G., Karagiannis, G., & Portela, C. S. (2016). Applications of data envelopment analysis in education. In J. Zhu (Ed.), Data envelopment analysis: a handbook of empirical studies and applications (pp. 367-438). (International Series in Operations Research and Management Science; Vol. 238). Springer. https://doi.org/10.1007/978-1-4899-7684-0_12

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author = "Emmanuel Thanassoulis and {de Witte}, Kristof and Jill Johnes and Geraint Johnes and Giannis Karagiannis and Portela, {Concei{\c c}{\~a}o S.}",

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Thanassoulis, E, de Witte, K, Johnes, J, Johnes, G, Karagiannis, G & Portela, CS 2016, Applications of data envelopment analysis in education. in J Zhu (ed.), Data envelopment analysis: a handbook of empirical studies and applications. International Series in Operations Research and Management Science, vol. 238, Springer, New York (US), pp. 367-438. https://doi.org/10.1007/978-1-4899-7684-0_12

Applications of data envelopment analysis in education. / Thanassoulis, Emmanuel; de Witte, Kristof; Johnes, Jill et al.
Data envelopment analysis: a handbook of empirical studies and applications. ed. / Joe Zhu. New York (US): Springer, 2016. p. 367-438 (International Series in Operations Research and Management Science; Vol. 238).

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

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T1 - Applications of data envelopment analysis in education

AU - Thanassoulis, Emmanuel

AU - de Witte, Kristof

AU - Johnes, Jill

AU - Johnes, Geraint

AU - Karagiannis, Giannis

AU - Portela, Conceição S.

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AB - Non-parametric methods for efficiency evaluation were designed to analyse industries comprising multi-input multi-output producers and lacking data on market prices. Education is a typical example. In this chapter, we review applications of DEA in secondary and tertiary education, focusing on the opportunities that this offers for benchmarking at institutional level. At secondary level, we investigate also the disaggregation of efficiency measures into pupil-level and school-level effects. For higher education, while many analyses concern overall institutional efficiency, we examine also studies that take a more disaggregated approach, centred either around the performance of specific functional areas or that of individual employees.

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Thanassoulis E, de Witte K, Johnes J, Johnes G, Karagiannis G, Portela CS. Applications of data envelopment analysis in education. In Zhu J, editor, Data envelopment analysis: a handbook of empirical studies and applications. New York (US): Springer. 2016. p. 367-438. (International Series in Operations Research and Management Science). doi: 10.1007/978-1-4899-7684-0_12

Applications of data envelopment analysis in education

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