Directional output distance functions: endogenous directions based on exogenous normalization constraints

被引：112

作者：

Faere, R. ^{[1
,2
]}

Grosskopf, S. ^{[2
]}

Whittaker, G. ^{[3
]}

机构：

[1] Oregon State Univ, Dept Agr & Resource Econ, Corvallis, OR 97331 USA

[2] Oregon State Univ, Dept Econ, Corvallis, OR 97331 USA

[3] ARS, Corvallis, OR 97331 USA

来源：

JOURNAL OF PRODUCTIVITY ANALYSIS | 2013年 / 40卷 / 03期

关键词：

DEA; Directional distance functions; Slack-based measures; SLACKS-BASED MEASURES; TECHNICAL EFFICIENCY;

D O I：

10.1007/s11123-012-0333-8

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In response to a question raised by Knox Lovell, we develop a method for estimating directional output distance functions with endogenously determined direction vectors based on exogenous normalization constraints. This is reminiscent of the Russell measure proposed by Fare and Lovell (J Econ Theory 19:150-162, 1978). Moreover it is related to the slacks-based directional distance function introduced by Fare and Grosskopf (Eur J Oper Res 200:320-322, 2010a, Eur J Oper Res 206:702, 2010b). Here we show how to use the slacks-based function to estimate the optimal directions.

引用

页码：267 / 269

页数：3

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