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


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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.

Sobre autores

F. Aleskerov

Higher School of Economics (National Research University); Trapeznikov Institute of Control Sciences

Autor responsável pela correspondência
Email: alesk@hse.ru
Rússia, Moscow; Moscow

V. Belousova

Higher School of Economics (National Research University)

Email: alesk@hse.ru
Rússia, Moscow

V. Petrushchenko

Higher School of Economics (National Research University)

Email: alesk@hse.ru
Rússia, Moscow

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