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 detect...
In this paper we study the concepts ‘Political satisfaction’ and ‘Quality of state services’, includ...
European opinion on services relates to how the provision of services of general interest - particul...
In this paper an integrated use of NLPCA (Nonlinear PCA) and multilevel models for the analysis of s...
We propose the setting-up of an indicator for classifying European countries with relation to consum...
We propose the setting-up of indicators for classifying European countries with relation to consumer...
This paper aims to classify eighteen European regions on the basis of various criteria which reflect...
EnThis paper concerns the measure the opinion of European citizens about utilities. The Eurobaromete...
This paper provides a comparative analysis of statistical methods to evaluate the consumer perceptio...
Two non-standard techniques - the Rasch Model and Nonlinear Principal Components Analysis - original...
This paper provides a comparative analysis of statistical methods to evaluate the consumer percepti...
This paper concerns the measure the opinion of European citizens about utilities. The Eurobarometer...
The assessment of satisfaction of consumers or users is a well known issue which has been dealt by a...
In this paper a two-step procedure based on Nonlinear Principal Component Analysis (NLPCA) and Multi...
In this paper a two-step procedure based on Nonlinear Principal Component Analysis (NLPCA) and Multi...
Prioritization and ranking of objects are primary needs in various substantive fields. It might be s...
In this paper we study the concepts ‘Political satisfaction’ and ‘Quality of state services’, includ...
European opinion on services relates to how the provision of services of general interest - particul...
In this paper an integrated use of NLPCA (Nonlinear PCA) and multilevel models for the analysis of s...
We propose the setting-up of an indicator for classifying European countries with relation to consum...
We propose the setting-up of indicators for classifying European countries with relation to consumer...
This paper aims to classify eighteen European regions on the basis of various criteria which reflect...
EnThis paper concerns the measure the opinion of European citizens about utilities. The Eurobaromete...
This paper provides a comparative analysis of statistical methods to evaluate the consumer perceptio...
Two non-standard techniques - the Rasch Model and Nonlinear Principal Components Analysis - original...
This paper provides a comparative analysis of statistical methods to evaluate the consumer percepti...
This paper concerns the measure the opinion of European citizens about utilities. The Eurobarometer...
The assessment of satisfaction of consumers or users is a well known issue which has been dealt by a...
In this paper a two-step procedure based on Nonlinear Principal Component Analysis (NLPCA) and Multi...
In this paper a two-step procedure based on Nonlinear Principal Component Analysis (NLPCA) and Multi...
Prioritization and ranking of objects are primary needs in various substantive fields. It might be s...
In this paper we study the concepts ‘Political satisfaction’ and ‘Quality of state services’, includ...
European opinion on services relates to how the provision of services of general interest - particul...
In this paper an integrated use of NLPCA (Nonlinear PCA) and multilevel models for the analysis of s...