文章基本信息

标题：Valuing Consumer Preferences with the CUB Model: A Case Study of Fair Trade Coffee
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作者：Cicia, Gianni ; Corduas, Marcella ; Del Giudice, Teresa 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2010
卷号：SUPPL
页码：82-93
出版社：Food Distribution Research Society
摘要：D'Elia and Piccolo (2005) have recently proposed a mixture distribution, named CUB, for ordinal data. The use of such a mixture distribution for modelling ratings is justified by the following consideration: the judgment that a subject expresses is the result of two components, uncertainty and selectiveness. The possibility of relating the parameters of CUB models to covariates makes the formulation interesting for practical applications In this case study, a sample of 224 fair‐trade coffee consumers were interviewed at stores. With this data‐set, CUB model split consumers, according to their preferences, in two different segments: one showing high price elasticity, and one with a low price elasticity. As regards the potential of the CUB model, it showed a considerable integration capacity with stochastic utility models, namely latent class models. Indeed, by using the segmentation factors emerging from the CUB as covariates of segmentation in a latent class model and setting the number of classes equal to those emerging from the CUB, it was possible to estimate a model which not only validated the findings of the CUB but also allowed estimation of the WTP for the fair trade characteristic in the different groups.
关键词：CUB model;fair trade coffee;latent class choice model