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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.

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Authors and Affiliations

  1. Higher School of Economics (National Research University), Moscow, Russia

    F. T. Aleskerov, V. Yu. Belousova & V. V. Petrushchenko

  2. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    F. T. Aleskerov

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  1. F. T. Aleskerov
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  2. V. Yu. Belousova
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  3. V. V. Petrushchenko
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Correspondence to F. T. Aleskerov.

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Original Russian Text © F.T. Aleskerov, V.Yu. Belousova, V.V. Petrushchenko, 2015, published in Problemy Upravleniya, 2015, No. 5, pp. 2–19.

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Aleskerov, F.T., Belousova, V.Y. & Petrushchenko, V.V. Models of data envelopment analysis and stochastic frontier analysis in the efficiency assessment of universities. Autom Remote Control 78, 902–923 (2017). https://doi.org/10.1134/S0005117917050125

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