Evaluation and comparison of European countries: public opinion on services

Evaluation and comparison of European countries: public opinion on services We propose the setting-up of an indicator for classifying European countries with relation to consumers’ satisfaction for services of general interest. Services considered are fixed telephone service, electricity supply, railways and postal service. The reference data set is the 2002 Standard Eurobarometer database (EB58) and it refers to EU members before 2004 enlargement. The proposed indicator is based on nonlinear principal component analysis and supplies a measure for the citizen’s satisfaction. Its robustness is verified by a Monte Carlo approach to examine the stability of nonlinear PCA results and to compute Bootstrap C.I.s of average country scores. The level of satisfaction is eventually used for country comparison and for detecting possible hotspots, which might be useful when addressing decision making policies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Evaluation and comparison of European countries: public opinion on services

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Publisher
Springer Netherlands
Copyright
Copyright © 2009 by Springer Science+Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-009-9278-z
Publisher site
See Article on Publisher Site

Abstract

We propose the setting-up of an indicator for classifying European countries with relation to consumers’ satisfaction for services of general interest. Services considered are fixed telephone service, electricity supply, railways and postal service. The reference data set is the 2002 Standard Eurobarometer database (EB58) and it refers to EU members before 2004 enlargement. The proposed indicator is based on nonlinear principal component analysis and supplies a measure for the citizen’s satisfaction. Its robustness is verified by a Monte Carlo approach to examine the stability of nonlinear PCA results and to compute Bootstrap C.I.s of average country scores. The level of satisfaction is eventually used for country comparison and for detecting possible hotspots, which might be useful when addressing decision making policies.

Journal

Quality & QuantitySpringer Journals

Published: Sep 4, 2009

References

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