Mixed Logit Model Performance and Distributional Assumptions : Preferences and GM foods

D. Rigby, K. Balcombe, Michael Burton

    Research output: Contribution to journalArticlepeer-review

    33 Citations (Scopus)

    Abstract

    Using mixed logit models to analyse choice data is common but requires ex ante specification of the functional forms of preference distributions. We make the case for greater use of bounded functional forms and propose the use of the Marginal Likelihood, calculated using Bayesian techniques, as a single measure of model performance across non nested mixed logit specifications. Using this measure leads to very different rankings of model specifications compared to alternative rule of thumb measures. The approach is illustrated using data from a choice experiment regarding GM food types which provides insights regarding the recent WTO dispute between the EU and the US, Canada and Argentina and whether labelling and trade regimes should be based on the production process or product composition.
    Original languageEnglish
    Pages (from-to)279-295
    JournalEnvironmental and Resource Economics
    Volume42
    Issue number3
    DOIs
    Publication statusPublished - 2009

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