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

被引：0
|
作者：
F. T. Aleskerov
V. Yu. Belousova
V. V. Petrushchenko
机构：
[1] Higher School of Economics (National Research University),Trapeznikov Institute of Control Sciences
[2] Russian Academy of Sciences,undefined
来源：
Automation and Remote Control | 2017年 / 78卷
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摘要：
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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页码：902 / 923
页数：21
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