Evaluation and comparison of European countries: public opinion on services
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DOI: 10.1007/s11135-009-9278-z
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- Pier Alda Ferrari & Paola Annoni & Giancarlo Manzi, 2007. "Evaluation and comparison of European countries: public opinion on services," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1058, Universitá degli Studi di Milano.
References listed on IDEAS
- Fiorio, Carlo V. & Florio, M. & Salini, S. & Ferrari, P.A., 2007.
"Consumers' Attitudes on Services of General Interest in the EU: Accessibility, Price and Quality 2000-2004,"
Privatisation Regulation Corporate Governance Working Papers
12195, Fondazione Eni Enrico Mattei (FEEM).
- Carlo Fiorio & M. Florio & S. Salini & P. Ferrari, 2007. "Consumers’ Attitudes on Services of General Interest in the EU: Accessibility, Price and Quality 2000-2004," Working Papers 2007.2, Fondazione Eni Enrico Mattei.
- Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
- Freeman, Richard B, 1978.
"Job Satisfaction as an Economic Variable,"
American Economic Review, American Economic Association, vol. 68(2), pages 135-141, May.
- Richard B. Freeman, 1977. "Job Satisfaction as an Economic Variable," NBER Working Papers 0225, National Bureau of Economic Research, Inc.
- Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
- Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
Citations
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Cited by:
- Federico ANDREIS & Pier Alda FERRARI, 2015. "Customer Satisfaction Evaluation Using Multidimensional Item Response Theory Models," Departmental Working Papers 2015-25, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Giancarlo MANZI & Pier Alda FERRARI & Sonia STEFANIZZI, 2017. "On the Impact of the European Union in Citizens’ Perception of Quality of Life," Departmental Working Papers 2017-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Federico Andreis & Pier Alda Ferrari, 2014. "Multidimensional item response theory models for dichotomous data in customer satisfaction evaluation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(9), pages 2044-2055, September.
- Ferrari, Pier Alda & Annoni, Paola & Barbiero, Alessandro & Manzi, Giancarlo, 2011. "An imputation method for categorical variables with application to nonlinear principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2410-2420, July.
- Giancarlo MANZI & Pier Alda FERRARI, "undated". "Statistical methods for evaluating satisfaction with public services Abstract: Contrary to private enterprises, public enterprises can be unaware of the impact of their performance when providing serv," CIRIEC Working Papers 1404, CIRIEC - Université de Liège.
- Pier Ferrari & Laura Pagani & Carlo Fiorio, 2011. "A Two-Step Approach to Analyze Satisfaction Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 104(3), pages 545-554, December.
- Giancarlo Manzi & Sonia Stefanizzi & Pier Alda Ferrari, 2016. "In the end, will we all be Europeans? A two-phase analysis of citizens’ sentiment towards the EU," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2535-2551, November.
- Pier Ferrari & Silvia Salini, 2011. "Complementary Use of Rasch Models and Nonlinear Principal Components Analysis in the Assessment of the Opinion of Europeans About Utilities," Journal of Classification, Springer;The Classification Society, vol. 28(1), pages 53-69, April.
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Keywords
Services of general interest; Dissatisfaction index; Nonlinear principal component analysis; Robustness analysis; Bootstrap methods;All these keywords.
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