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

被引：0
|
作者：
R. Färe
S. Grosskopf
G. Whittaker
机构：
[1] Oregon State University,Department of Agricultural and Resource Economics
[2] Oregon State University,Department of Economics
[3] Agricultural Research Service,undefined
来源：
Journal of Productivity Analysis | 2013年 / 40卷
关键词：
DEA; Directional distance functions; Slack-based measures; C61; D24; D92; O33;
D O I：
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中图分类号：
学科分类号：
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 Färe and Lovell (J Econ Theory 19:150–162, 1978). Moreover it is related to the slacks-based directional distance function introduced by Färe 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.
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页码：267 / 269
页数：2
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