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

Vincenzina Caputo, Riccardo Scarpa, Rodolfo M. Nayga, Jr, David L. Ortega

Research output: Contribution to journalArticle

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)10-27
Number of pages18
JournalJournal of Choice Modelling
Volume28
DOIs
Publication statusPublished - 2018 Sep 1
Externally publishedYes

Keywords

  • Flexible taste distributions
  • Food preferences
  • Logit mixed logit
  • Mixed logit
  • Preference heterogneity

ASJC Scopus subject areas

  • Modelling and Simulation
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions'. Together they form a unique fingerprint.

  • Cite this