Data envelopment analysis with heterogeneous data: an application

被引：15
|
作者：
Sengupta, JK [1 ]
机构：
[1] Univ Calif Santa Barbara, Dept Econ, Santa Barbara, CA 93106 USA
来源：
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2005年 / 56卷 / 06期
关键词：
heteroscedasticity; size variations; cost frontier; minimum efficient scale;
D O I：
10.1057/palgrave.jors.2601861
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
The effects of data heterogeneity on the efficiency estimate by data envelopment analysis are evaluated here in terms of empirical applications in the computer industry. Scale or size variations of firms and heteroscedasticity are the two forms of heterogeneity considered here. Our empirical results show that the adverse effects of data heterogeneity can be considerably reduced by the methods suggested here.
引用
收藏
页码：676 / 686
页数：11
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