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The ‘soda tax’ is unlikely to make Mexicans lighter or healthier: New evidence on biases in elasticities of demand for soda

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  • Andalón, Mabel
  • Gibson, John

Abstract

Mexico’s ‘soda tax’ has been predicted to reduce average weight of Mexicans by up to three pounds, based on extant estimates of the own-price elasticity of quantity demand for soda of between −1.0 and −1.3. These elasticity estimates from household survey data are exaggerated by not accounting for how consumers adjust quality demanded as price changes. Some estimates also are biased by correlated measurement error. To illustrate these biases we use budget survey data and soda price data for Mexico to estimate demand models that correct for both errors. The corrected own-price elasticity of quantity demand is between −0.1 and −0.4, implying that the soda tax might cut average weight by just half a pound, which is too little to improve population health.

Suggested Citation

  • Andalón, Mabel & Gibson, John, 2018. "The ‘soda tax’ is unlikely to make Mexicans lighter or healthier: New evidence on biases in elasticities of demand for soda," MPRA Paper 86370, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:86370
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    References listed on IDEAS

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    1. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    2. Sanjay Basu & Sukumar Vellakkal & Sutapa Agrawal & David Stuckler & Barry Popkin & Shah Ebrahim, 2014. "Averting Obesity and Type 2 Diabetes in India through Sugar-Sweetened Beverage Taxation: An Economic-Epidemiologic Modeling Study," PLOS Medicine, Public Library of Science, vol. 11(1), pages 1-13, January.
    3. Emily Yucai Wang, 2015. "The impact of soda taxes on consumer welfare: implications of storability and taste heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 409-441, June.
    4. John Gibson & Bonggeun Kim, 2017. "30 Years of Being Wrong: A Systematic Review and Critical Test of the Cox and Wohlgenant Approach to Quality-Adjusted Prices in Demand Analysis," Working Papers in Economics 17/16, University of Waikato.
    5. Gibson, John & Kim, Bonggeun, 2013. "Quality, Quantity, and Nutritional Impacts of Rice Price Changes in Vietnam," World Development, Elsevier, vol. 43(C), pages 329-340.
    6. McKelvey, Christopher, 2011. "Price, unit value, and quality demanded," Journal of Development Economics, Elsevier, vol. 95(2), pages 157-169, July.
    7. John Gibson & Scott Rozelle, 2005. "Prices and Unit Values in Poverty Measurement and Tax Reform Analysis," The World Bank Economic Review, World Bank, vol. 19(1), pages 69-97.
    8. Pierre Dubois & Rachel Griffith & Martin O'Connell, 2020. "How Well Targeted Are Soda Taxes?," American Economic Review, American Economic Association, vol. 110(11), pages 3661-3704, November.
    9. Cawley, John, 2015. "An economy of scales: A selective review of obesity's economic causes, consequences, and solutions," Journal of Health Economics, Elsevier, vol. 43(C), pages 244-268.
    10. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    11. John Gibson & Alessandro Romeo, 2017. "Fiscal-Food Policies are Likely Misinformed by Biased Price Elasticities from Household Surveys: Evidence from Melanesia," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(3), pages 405-416, September.
    12. Jeffrey Grogger, 2017. "Soda Taxes And The Prices of Sodas And Other Drinks: Evidence From Mexico," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 481-498.
    13. Gibson, John & Kim, Bonggeun, 2019. "Quality, quantity, and spatial variation of price: Back to the bog," Journal of Development Economics, Elsevier, vol. 137(C), pages 66-77.
    14. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    15. María Eugenia Bonilla-Chacín & Roberto Iglesias & Agustina Suaya & Claudia Trezza & Claudia Macías, 2016. "Learning from the Mexican Experience with Taxes on Sugar-Sweetened Beverages and Energy-Dense Foods of Low Nutrition," Health, Nutrition and Population (HNP) Knowledge Briefs 106654, The World Bank.
    16. Maria Eugenia Bonilla-Chacin & Roberto Magno Iglesias & Agustina Sara Suaya & Claudia Trezza & Claudia Macias, 2016. "Learning from the Mexican Experience with Taxes on Sugar-Sweetened Beverages and Energy-dense Foods of Low Nutritional Value: Poverty and Social Impact Analysis," Health, Nutrition and Population (HNP) Discussion Paper Series 106595, The World Bank.
    17. Angus Deaton, 1991. "Price Elasticities from Survey Data: Extensions and Indonesian Results," International Economic Association Series, in: Marc Nerlove (ed.), Issues in Contemporary Economics, chapter 10, pages 253-283, Palgrave Macmillan.
    18. Colchero, M.A. & Salgado, J.C. & Unar-Munguía, M. & Hernández-Ávila, M. & Rivera-Dommarco, J.A., 2015. "Price elasticity of the demand for sugar sweetened beverages and soft drinks in Mexico," Economics & Human Biology, Elsevier, vol. 19(C), pages 129-137.
    19. Julio C. Arteaga & Daniel Flores & Edgar Luna, 2021. "The effect of a soft drink tax in Mexico: evidence from time series industry data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(2), pages 349-366, April.
    20. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    21. John Gibson & Scott Rozelle, 2011. "The effects of price on household demand for food and calories in poor countries: are our databases giving reliable estimates?," Applied Economics, Taylor & Francis Journals, vol. 43(27), pages 4021-4031.
    22. Friedman, Jed & Beegle, Kathleen & De Weerdt, Joachim & Gibson, John, 2017. "Decomposing response error in food consumption measurement: Implications for survey design from a randomized survey experiment in Tanzania," Food Policy, Elsevier, vol. 72(C), pages 94-111.
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    More about this item

    Keywords

    Demand; Household surveys; Quality; Price; Soda taxes; Mexico;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I10 - Health, Education, and Welfare - - Health - - - General

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