Applications of Data Envelopment Analysis in Education

Emmanuel Thanassoulis (), Kristof Witte, Jill Johnes, Geraint Johnes, Giannis Karagiannis and Conceição S. Portela
Additional contact information
Emmanuel Thanassoulis: Aston University
Kristof Witte: KU Leuven
Geraint Johnes: Lancaster University
Conceição S. Portela: Católica Porto Business School

Chapter Chapter 12 in Data Envelopment Analysis, 2016, pp 367-438 from Springer

Abstract: 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.

Keywords: DEA; Efficiency; Education; Benchmarking; Pupil-level effects; School efficiency; Higher education efficiency (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-1-4899-7684-0_12

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