DEA models equivalent to general th order stochastic dominance efficiency tests

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• 作者：Martin Branda ; ^{branda@karlin.mff.cuni.cz" class="auth_mail" title="E-mail the corresponding author} ; Milo&scaron ; Kopa
• 关键词：NNth order stochastic dominance efficiency ; Data envelopment analysis ; Convex NSD efficiency ; NSD portfolio efficiency
• 刊名：Operations Research Letters
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：44
• 期：2
• 页码：285-289
• 全文大小：354 K

文摘

We introduce data envelopment analysis (DEA) models equivalent to efficiency tests with respect to the N$N$th order stochastic dominance (NSD). In particular, we focus on strong and weak variants of convex NSD efficiency and NSD portfolio efficiency. The proposed DEA models are in relation with strong and weak Pareto–Koopmans efficiencies and employ N$N$th order lower and co-lower partial moments.