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Modelling Correlated Consumer Preferences

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Advances in Latent Variables

Part of the book series: Studies in Theoretical and Applied Statistics ((STASSPSS))

Abstract

The CUB model is a mixture distribution recently proposed in literature for modelling ordinal data. The CUB parameters may be related to explanatory variables describing the raters or the object of evaluation. Although various methodological aspects of this class of models have been investigated, the problem of multivariate ordinal data representation is still open. In this article the Plackett distribution is used in order to construct a bivariate distribution from CUB margins. Furthermore, the model is extended so that the effect of rater characteristics on their stated preferences is included.

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Author information

Authors and Affiliations

  1. Department of Political Sciences, University of Naples Federico II, Napoli, Italy

    Marcella Corduas

Authors
  1. Marcella Corduas
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Correspondence to Marcella Corduas .

Editor information

Editors and Affiliations

  1. Dept. of Economics and Management, University of Brescia, Brescia, Italy

    Maurizio Carpita

  2. Dept. of Economics and Management, University of Brescia, Brescia, Italy

    Eugenio Brentari

  3. Dept. of Chemometrics and Sensometrics, Oniris Nantes National College, Nantes, France

    El Mostafa Qannari

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Corduas, M. (2014). Modelling Correlated Consumer Preferences. In: Carpita, M., Brentari, E., Qannari, E. (eds) Advances in Latent Variables. Studies in Theoretical and Applied Statistics(). Springer, Cham. https://doi.org/10.1007/10104_2014_9

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