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EconStor
Research . 2018
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Stochastic frontier analysis in higher education: A systematic review

Authors: Gralka, Sabine;

Stochastic frontier analysis in higher education: A systematic review

Abstract

This paper provides a systematic review of the literature that employs stochastic frontier analysis to measure the efficiency of higher education institutions. The overview opens with a look at the general development of the literature, before emphasis is laid on the methodical aspects. Focus is thereby placed on the necessary underlying assumptions and the employed specifications, discussing their advantages and drawbacks. Afterwards, the factors that were specified in the literature, including the input and output variables, as well as the determinants of efficiency, are discussed in detail. Based on the insights of the literature review, the paper highlights some of the existing deficiencies and ways forward. To our knowledge, the present study provides the first systematic review on the usage of the stochastic frontier analysis to measure efficiency in the higher education sector.

Country
Germany
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Keywords

info:eu-repo/classification/ddc/330, Stochastic Frontier Analysis, ddc:330, I22, I23, Review, Efficiency, Higher Education, D61, H52, C14, Review, Efficiency, Higher Education, Stochastic Frontier Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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