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| Cicia, Gianni; Corduas, Marcella; Del Giudice, Teresa; Piccolo, Domenico. |
| 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... |
| Tipo: Journal Article |
Palavras-chave: CUB model; Fair trade coffee; Latent class choice model; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods. |
| Ano: 2010 |
URL: http://purl.umn.edu/91144 |
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| Cicia, Gianni; Corduas, Marcella; Del Giudice, Teresa; Piccolo, Domenico. |
| In recent years, in the field of consumer behaviour, a large number of new models and instruments for preference analysis have been proposed. This strand of the literature has developed along two different lines. The first has produced approaches that have a more solid economic basis, but which at the same time require increasingly complex econometric analysis. Moreover, in this research field, based on stochastic utility theory and choice experiments, less weight is given to the socio-economic and psychometric characteristics of the individual in determining preferences. By contrast, the second strand has given rise to many methods to analyse consumer behaviour based on quality approaches such as laddering or focus groups where behavioural characteristics... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Agribusiness; Agricultural and Food Policy; Farm Management; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/59209 |
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