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Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions

Vincenzina Caputo, Riccardo Scarpa (), Rodolfo Nayga and David Ortega ()

Journal of choice modelling, 2018, vol. 28, issue C, 10-27

Abstract: We empirically question the commonly invoked assumption of normality of taste distribution in mixed logit models with continuous random parameters. We use a WTP-space random utility discrete choice model with flexible distributions on data from two choice experiments regarding beef with nested set of quality attributes. We specifically focus on distributional features such as asymmetry, multi-modality and range of variation, and find little support for normality. Our results are robust to attribute dimensionality in experimental design. Implications of our results for practitioners in the field are discussed.

Keywords: Flexible taste distributions; Mixed logit; Logit mixed logit; Food preferences; Preference heterogneity (search for similar items in EconPapers)
Date: 2018
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Working Paper: Are Preferences for Food Quality Attributes Really Normally Distributed? An Analysis Using Flexible Mixing Distributions (2017) Downloads
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