Taxing fat versus behavioural interventions: Multiple discrete–continuous extreme value (MDCEV) models and the PCSHOP randomized trial of shopping behaviour Buckell, John Palma, David Hess, Stephane Jebb, Susan A. Piernas Sánchez, Carmen María Multiple Discrete-Continuous Extreme Value (MDCEV) Randomized controlled trial Shopping behaviour 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. 2025-06-05T10:01:29Z 2025-06-05T10:01:29Z 2025-03-20 journal article J. Buckell et al. Food Policy 132 (2025) 102836 [https://doi.org/10.1016/j.foodpol.2025.102836] https://hdl.handle.net/10481/104482 10.1016/j.foodpol.2025.102836 eng info:eu-repo/grantAgreement/ERC/H2020/101020940-SYNERGY http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Elsevier