 Taxing fat versus behavioural interventions: Multiple discrete–continuous extreme value (MDCEV) models and the PCSHOP randomized trial of shopping behaviourJohn Buckell, David Palma, Stephane Hess, Susan A. Jebb and Carmen Piernas Food Policy, 2025, vol. 132, issue C Abstract: Understanding food purchasing behaviours is complex because people make both choices among goods and volumes of those goods that they choose. We use the novel Multiple Discrete-Continuous Extreme Value (MDCEV) model, capable of handling both aspects of behaviour, on real-world food shopping behaviour data from a clinical trial. We compared the impact of providing general dietary advice, general dietary advice plus personalised shopping advice, or taxation, and combinations thereof, on the amount of saturated fat in consumers’ shopping baskets, using simulation. We used supermarket loyalty card data from a randomized controlled trial of 111 adults with raised cholesterol in Oxfordshire (UK). A Danish fat tax simulation alone is less effective than the tax in combination with dietary and shopping advice. These data illustrate the potential of MDCEV models for these behaviours and, by extension, informing food policies. Keywords: Multiple Discrete-Continuous Extreme Value (MDCEV); Randomized controlled trial; Shopping behaviour; Behavioural intervention; Tax (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jfpoli:v:132:y:2025:i:c:s0306919225000405 DOI: 10.1016/j.foodpol.2025.102836 Access Statistics for this article Food Policy is currently edited by J. Kydd More articles in Food Policy from Elsevier |
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