Study protocol: combining experimental methods, econometrics and simulation modelling to determine price elasticities for studying food taxes and subsidies (The Price ExaM Study)

Show simple item record Waterlander, Willemina en Blakely, T en Nghiem, N en Cleghorn, CL en Eyles, Helen en Genc, M en Wilson, N en Jiang, Yannan en Swinburn, Boyd en Jacobi, L en Michie, J en Ni Mhurchu, Cliona en 2017-11-16T01:07:08Z en 2016-07-19 en
dc.identifier.citation BMC Public Health 16:13 pages Article number 601 19 Jul 2016 en
dc.identifier.issn 1471-2458 en
dc.identifier.uri en
dc.description.abstract There is a need for accurate and precise food price elasticities (PE, change in consumer demand in response to change in price) to better inform policy on health-related food taxes and subsidies.The Price Experiment and Modelling (Price ExaM) study aims to: I) derive accurate and precise food PE values; II) quantify the impact of price changes on quantity and quality of discrete food group purchases and; III) model the potential health and disease impacts of a range of food taxes and subsidies. To achieve this, we will use a novel method that includes a randomised Virtual Supermarket experiment and econometric methods. Findings will be applied in simulation models to estimate population health impact (quality-adjusted life-years [QALYs]) using a multi-state life-table model. The study will consist of four sequential steps: 1. We generate 5000 price sets with random price variation for all 1412 Virtual Supermarket food and beverage products. Then we add systematic price variation for foods to simulate five taxes and subsidies: a fruit and vegetable subsidy and taxes on sugar, saturated fat, salt, and sugar-sweetened beverages. 2. Using an experimental design, 1000 adult New Zealand shoppers complete five household grocery shops in the Virtual Supermarket where they are randomly assigned to one of the 5000 price sets each time. 3. Output data (i.e., multiple observations of price configurations and purchased amounts) are used as inputs to econometric models (using Bayesian methods) to estimate accurate PE values. 4. A disease simulation model will be run with the new PE values as inputs to estimate QALYs gained and health costs saved for the five policy interventions.The Price ExaM study has the potential to enhance public health and economic disciplines by introducing internationally novel scientific methods to estimate accurate and precise food PE values. These values will be used to model the potential health and disease impacts of various food pricing policy options. Findings will inform policy on health-related food taxes and subsidies.Australian New Zealand Clinical Trials Registry ACTRN12616000122459 (registered 3 February 2016). en
dc.format.medium Electronic en
dc.language eng en
dc.publisher BioMed Central en
dc.relation.ispartofseries BMC Public Health en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.rights.uri en
dc.subject Humans en
dc.subject Models, Econometric en
dc.subject Bayes Theorem en
dc.subject Commerce en
dc.subject Food en
dc.subject Adult en
dc.subject Aged en
dc.subject Aged, 80 and over en
dc.subject Middle Aged en
dc.subject Financing, Government en
dc.subject Taxes en
dc.subject Australia en
dc.subject New Zealand en
dc.subject Female en
dc.subject Male en
dc.subject Young Adult en
dc.title Study protocol: combining experimental methods, econometrics and simulation modelling to determine price elasticities for studying food taxes and subsidies (The Price ExaM Study) en
dc.type Journal Article en
dc.identifier.doi 10.1186/s12889-016-3277-5 en
pubs.volume 16 en
dc.description.version VoR - Version of Record en
dc.rights.holder Copyright: The author en
dc.identifier.pmid 27435175 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Article en
pubs.elements-id 536252 en Medical and Health Sciences en Population Health en Epidemiology & Biostatistics en Pacific Health en Science en Statistics en
dc.identifier.eissn 1471-2458 en
pubs.number 601 en
pubs.record-created-at-source-date 2017-11-16 en
pubs.dimensions-id 27435175 en

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