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Constructing composite indicators with imprecise data: A proposal

delete2011-09-01
delete40
PRE
AI
L
Laurens Cherchye
N
Nicky Rogge
T
Tom Van Puyenbroeck *
DOI:10.1016/j.eswa.2011.02.136delete
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Abstract

Abstract

En 中文
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.
Keywords:
Composite indicators
Multiple imputation
Benefit of the doubt
Weight restrictions
Data Envelopment Analysis
Data impreciseness
Knowledge Economy Indicators
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Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

K
KU Leuven
Scholars:
5.7W
Papers: 5.2W
Citations: 8.1W