Constructing composite indicators with imprecise data: A proposal

被引:33
|
作者
Cherchye, Laurens [1 ,2 ]
Moesen, Willem [1 ]
Rogge, Nicky [1 ]
Van Puyenbroeck, Tom [1 ,3 ]
机构
[1] Katholieke Univ Leuven, Fac Business & Econ, B-3000 Louvain, Belgium
[2] Tilburg Univ, CentER, NL-5000 LE Tilburg, Netherlands
[3] Univ Brussel HUBrussel, Ctr Duurzaam Ondernemen CeDOn, Hogesch, B-1000 Brussels, Belgium
关键词
Composite indicators; Multiple imputation; Benefit of the doubt; Weight restrictions; Data Envelopment Analysis; Data impreciseness; Knowledge Economy Indicators; PERFORMANCE; MODELS; DEA;
D O I
10.1016/j.eswa.2011.02.136
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper focuses on the construction of a composite indicator for the knowledge based economy, using imprecise data. Specifically, for some indicators we only have information on the interval within which the true value is believed to lie. The proposed approach is based on the Data Envelopment Analysis literature. Given the setting of evaluating countries, this paper discerns a 'strong country in weak environment' and 'weak country in strong environment' scenario resulting in respectively an upper and lower bound on countries' performance. Accordingly, we derive a classification of 'benchmark countries', 'potential benchmark countries', and 'countries open to improvement'. We illustrate our method with ata on the knowledge economy. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:10940 / 10949
页数:10
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