Models of data envelopment analysis and stochastic frontier analysis in the efficiency assessment of universities


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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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