A comparison between alternative models for environmental ordinal data: Nonlinear PCA vs Rasch Analysis
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- Galeotti, Marzio & Rubashkina, Yana & Salini, Silvia & Verdolini, Elena, 2018.
"Environmental policy performance and its determinants: Application of a three-level random intercept model,"
Elsevier, vol. 114(C), pages 134-144.
- Marzio Galeotti & Yana Rubashkina & Silvia Salini & Elena Verdolini, 2014. "Environmental Policy Performance and its Determinants: Application of a Three-level Random Intercept Model," Working Papers 2014.90, Fondazione Eni Enrico Mattei.
- Marzio Galeotti & Yana Rubashkina & Silvia Salini & Elena Verdolini, 2014. "Environmental Policy Performance and its Determinants: Application of a three-level random intercept model," IEFE Working Papers 71, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
- 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.
- P. A. Ferrari & S. Salini, 2008. "Measuring Service Quality: The Opinion of Europeans about Utilities," Working Papers 2008.36, Fondazione Eni Enrico Mattei.
More about this item
KeywordsNonlinear PCA; Partial Credit Rasch Model; Ordinal Variables;
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2005-06-05 (All new papers)
- NEP-DCM-2005-06-05 (Discrete Choice Models)
- NEP-ENV-2005-06-05 (Environmental Economics)
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