Alternative approaches to include exogenous variables in DEA measures: A comparison using Monte Carlo

被引：32

作者：

Manuel Cordero, Jose ^{[1
]}

Pedraja, Francisco ^{[1
]}

Santin, Daniel ^{[2
]}

机构：

[1] Univ Extremadura, Dept Econ, E-06071 Badajoz, Spain

[2] Univ Complutense Madrid, Dept Appl Econ 6, Madrid 28223, Spain

来源：

COMPUTERS & OPERATIONS RESEARCH | 2009年 / 36卷 / 10期

关键词：

Efficiency; Data envelopment analysis; Non-discretionary inputs; Simulation; DATA ENVELOPMENT ANALYSIS; NON-DISCRETIONARY; MEASURING EFFICIENCY; PERFORMANCE; MODELS; EDUCATION; INPUTS; SCALE; NOISE;

D O I：

10.1016/j.cor.2008.11.019

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The theory for measuring efficiency of producers has developed alternative approaches to correct for the effect of non-discretionary variables in the analysis. A review of different options in the specific literature of Data envelopment analysis (DEA) allows us to identify three main approaches: one-stage, two-stage and multi-stage models. Recently, some of these models have been improved through the development of bootstrap methods making it possible to make inference and to avoid bias in the estimation of efficiency scores. The aim of this paper is to test the performance of these recent models and to compare among them using simulated data from a Monte Carlo experimental design. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：2699 / 2706

页数：8

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