Standard
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: Springer Science and Business Media, 2016. p. 367-438 (International Series in Operations Research & Management Science; Vol. 238).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Harvard
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 & Management Science, vol. 238, Springer Science and Business Media, New York, pp. 367-438.
APA
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 & Management Science; Vol. 238). Springer Science and Business Media.
Vancouver
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: Springer Science and Business Media. 2016. p. 367-438. (International Series in Operations Research & Management Science).
Author
Thanassoulis, Emmanuel ; De Witte, Kristof ; Johnes, Jill et al. /
Applications of data envelopment analysis in education. Data envelopment analysis: a handbook of empirical studies and applications. editor / Joe Zhu. New York : Springer Science and Business Media, 2016. pp. 367-438 (International Series in Operations Research & Management Science).
Bibtex
@inbook{1e0740c305fe4619bd7e7ed981c67899,
title = "Applications of data envelopment analysis in education",
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, weinvestigate 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.",
author = "Emmanuel Thanassoulis and {De Witte}, Kristof and Jill Johnes and Geraint Johnes and Giannis Karagiannis and Portela, {Concei{\c c}{\~a}o S.}",
year = "2016",
language = "English",
isbn = "9781489976826",
series = "International Series in Operations Research & Management Science",
publisher = "Springer Science and Business Media",
pages = "367--438",
editor = "Zhu, {Joe }",
booktitle = "Data envelopment analysis",
}
RIS
TY - CHAP
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.
PY - 2016
Y1 - 2016
N2 - 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, weinvestigate 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.
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, weinvestigate 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.
M3 - Chapter (peer-reviewed)
SN - 9781489976826
T3 - International Series in Operations Research & Management Science
SP - 367
EP - 438
BT - Data envelopment analysis
A2 - Zhu, Joe
PB - Springer Science and Business Media
CY - New York
ER -
