Models of data envelopment analysis and stochastic frontier analysis in the efficiency assessment of universities
- Authors: Aleskerov F.T.1,2, Belousova V.Y.1, Petrushchenko V.V.1
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Affiliations:
- Higher School of Economics (National Research University)
- Trapeznikov Institute of Control Sciences
- Issue: Vol 78, No 5 (2017)
- Pages: 902-923
- Section: Control Sciences
- URL: https://journals.rcsi.science/0005-1179/article/view/150603
- DOI: https://doi.org/10.1134/S0005117917050125
- ID: 150603
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Abstract
This paper systematizes the empirical results on efficiency concepts applied to higher education institutions, data envelopment analysis (DEA) adjusted to heterogeneous samples, inputs and outputs chosen for these institutions and factors tended to make universities efficient. Special attention is paid to the consistency of results yielded by different models.
About the authors
F. T. Aleskerov
Higher School of Economics (National Research University); Trapeznikov Institute of Control Sciences
Author for correspondence.
Email: alesk@hse.ru
Russian Federation, Moscow; Moscow
V. Yu. Belousova
Higher School of Economics (National Research University)
Email: alesk@hse.ru
Russian Federation, Moscow
V. V. Petrushchenko
Higher School of Economics (National Research University)
Email: alesk@hse.ru
Russian Federation, Moscow
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