Evaluating alternative DEA models used to control for non-discretionary inputs

被引：65

作者：

Muñiz, M

Paradi, J

Ruggiero, J ^{[1
]}

Yang, ZJ

机构：

[1] Univ Dayton, Dayton, OH 45469 USA

[2] Univ Oviedo, Fac CC Econ, Dept Econ, E-33071 Oviedo, Spain

[3] Univ Toronto, Ctr Management Technol & Entrepreneurship, Dept Chem Engn & Appl Chem, Toronto, ON M5S 3E5, Canada

[4] York Univ, Dept Math & Stat, N York, ON M3J 1P3, Canada

来源：

COMPUTERS & OPERATIONS RESEARCH | 2006年 / 33卷 / 05期

关键词：

non-discretionary variables; data envelopment analysis;

D O I：

10.1016/j.cor.2004.09.007

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Evaluation of performance using DEA requires models consistent with the underlying technology. There have been a number of models proposed for analyzing performance in the presence of non-discretionary inputs. Banker and Morey (Operations Research 34 (1986) 513-521) provided the first DEA model to measure technical efficiency. Other single- and multiple-stage models that incorporate DEA have been developed. This paper discusses the various approaches and provides a simulation analysis to compare the relative performance of each. (c) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1173 / 1183

页数：11