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

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          Abstract

          Background

          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.

          Methods/Design

          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.

          Discussion

          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.

          Trial registration

          Australian New Zealand Clinical Trials Registry ACTRN12616000122459 (registered 3 February 2016).

          Related collections

          Most cited references34

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          The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food.

          In light of proposals to improve diets by shifting food prices, it is important to understand how price changes affect demand for various foods. We reviewed 160 studies on the price elasticity of demand for major food categories to assess mean elasticities by food category and variations in estimates by study design. Price elasticities for foods and nonalcoholic beverages ranged from 0.27 to 0.81 (absolute values), with food away from home, soft drinks, juice, and meats being most responsive to price changes (0.7-0.8). As an example, a 10% increase in soft drink prices should reduce consumption by 8% to 10%. Studies estimating price effects on substitutions from unhealthy to healthy food and price responsiveness among at-risk populations are particularly needed.
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            Price Perceptions and Consumer Shopping Behavior: A Field Study

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              Effectiveness of subsidies in promoting healthy food purchases and consumption: a review of field experiments.

              Ruopeng An (2013)
              To systematically review evidence from field interventions on the effectiveness of monetary subsidies in promoting healthier food purchases and consumption. Keyword and reference searches were conducted in five electronic databases: Cochrane Library, EconLit, MEDLINE, PsycINFO and Web of Science. Studies were included based on the following criteria: (i) intervention: field experiments; (ii) population: adolescents 12–17 years old or adults 18 years and older; (iii) design: randomized controlled trials, cohort studies or pre–post studies; (iv) subsidy: price discounts or vouchers for healthier foods; (v) outcome: food purchases or consumption; (vi) period: 1990–2012; and (vii) language: English. Twenty-four articles on twenty distinct experiments were included with study quality assessed using predefined methodological criteria. Interventions were conducted in seven countries: the USA (n 14), Canada (n 1), France (n 1), Germany (n 1), Netherlands (n 1), South Africa (n 1) and the UK (n 1). Subsidies applied to different types of foods such as fruits, vegetables and low-fat snacks sold in supermarkets, cafeterias, vending machines, farmers’ markets or restaurants. Interventions enrolled various population subgroups such as school/ university students, metropolitan transit workers and low-income women. All but one study found subsidies on healthier foods to significantly increase the purchase and consumption of promoted products. Study limitations include small and convenience samples, short intervention and follow-up duration, and lack of cost-effectiveness and overall diet assessment. Subsidizing healthier foods tends to be effective in modifying dietary behaviour. Future studies should examine its long-term effectiveness and cost-effectiveness at the population level and its impact on overall diet intake.
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                Author and article information

                Contributors
                w.waterlander@auckland.ac.nz
                tony.blakely@otago.ac.nz
                nhung.nghiem@otago.ac.nz
                cristina.cleghorn@otago.ac.nz
                h.eyles@auckland.ac.nz
                murat.genc@otago.ac.nz
                nick.wilson@otago.ac.nz
                y.jiang@auckland.ac.nz
                boyd.swinburn@auckland.ac.nz
                ljacobi@unimelb.edu.au
                j.michie@auckland.ac.nz
                c.nimhurchu@auckland.ac.nz
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                19 July 2016
                19 July 2016
                2016
                : 16
                : 601
                Affiliations
                [ ]National Institute for Health Innovation, School of Population Health, University of Auckland, Auckland, New Zealand
                [ ]Department of Public Health, University of Otago, Wellington, New Zealand
                [ ]National Institute for Health Innovation and Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
                [ ]Department of Economics, University of Otago, Dunedin, New Zealand
                [ ]Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
                [ ]Department of Economics, The University of Melbourne, Melbourne, VIC Australia
                Article
                3277
                10.1186/s12889-016-3277-5
                4952230
                27435175
                7663327e-8d6c-48b9-969e-4cf89fc87704
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 May 2016
                : 2 July 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001505, Health Research Council of New Zealand;
                Award ID: 13/274
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001516, National Heart Foundation of New Zealand;
                Award ID: 1570
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2016

                Public health
                food taxes,food subsidies,food policy,price elasticities,food pricing,rct,modelling,bayesian,virtual supermarket

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