IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v24y2015i9p1147-1163.html
   My bibliography  Save this article

Do High Consumers of Sugar‐Sweetened Beverages Respond Differently to Price Changes? A Finite Mixture IV‐Tobit Approach

Author

Listed:
  • Fabrice Etilé
  • Anurag Sharma

Abstract

This study compares the impact of sugar‐sweetened beverages (SSBs) tax between moderate and high consumers in Australia. The key methodological contribution is that price response heterogeneity is identified while controlling for censoring of consumption at zero and endogeneity of expenditure by using a finite mixture instrumental variable Tobit model. The SSB price elasticity estimates show a decreasing trend across increasing consumption quantiles, from −2.3 at the median to −0.2 at the 95th quantile. Although high consumers of SSBs have a less elastic demand for SSBs, their very high consumption levels imply that a tax would achieve higher reduction in consumption and higher health gains. Our results also suggest that an SSB tax would represent a small fiscal burden for consumers whatever their pre‐policy level of consumption, and that an excise tax should be preferred to an ad valorem tax. Copyright © 2015 John Wiley & Sons, Ltd.

Suggested Citation

  • Fabrice Etilé & Anurag Sharma, 2015. "Do High Consumers of Sugar‐Sweetened Beverages Respond Differently to Price Changes? A Finite Mixture IV‐Tobit Approach," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1147-1163, September.
  • Handle: RePEc:wly:hlthec:v:24:y:2015:i:9:p:1147-1163
    DOI: 10.1002/hec.3157
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.3157
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.3157?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-430, June.
    3. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-685, May.
    4. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    5. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    6. Manning, Willard G. & Blumberg, Linda & Moulton, Lawrence H., 1995. "The demand for alcohol: The differential response to price," Journal of Health Economics, Elsevier, vol. 14(2), pages 123-148, June.
    7. Anurag Sharma & Katharina Hauck & Bruce Hollingsworth & Luigi Siciliani, 2014. "The Effects Of Taxing Sugar‐Sweetened Beverages Across Different Income Groups," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1159-1184, September.
    8. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    10. Padmaja Ayyagari & Partha Deb & Jason Fletcher & William Gallo & Jody L. Sindelar, 2013. "Understanding Heterogeneity In Price Elasticities In The Demand For Alcohol For Older Individuals," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-105, January.
    11. Fabrice Etilé, 2006. "Who does the hat fit? Teenager heterogeneity and the effectiveness of information policies in preventing cannabis use and heavy drinking," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 697-718, July.
    12. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    13. Vartanian, L.R. & Schwartz, M.B. & Brownell, K.D., 2007. "Effects of soft drink consumption on nutrition and health: A systematic review and meta-analysis," American Journal of Public Health, American Public Health Association, vol. 97(4), pages 667-675.
    14. Chen Zhen & Eric A. Finkelstein & James M. Nonnemaker & Shawn A. Karns & Jessica E. Todd, 2014. "Predicting the Effects of Sugar-Sweetened Beverage Taxes on Food and Beverage Demand in a Large Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 1-25.
    15. Finkelstein, Eric A. & Zhen, Chen & Bilger, Marcel & Nonnemaker, James & Farooqui, Assad M. & Todd, Jessica E., 2013. "Implications of a sugar-sweetened beverage (SSB) tax when substitutions to non-beverage items are considered," Journal of Health Economics, Elsevier, vol. 32(1), pages 219-239.
    16. Kamel Jedidi & Venkatram Ramaswamy & Wayne Desarbo, 1993. "A maximum likelihood method for latent class regression involving a censored dependent variable," Psychometrika, Springer;The Psychometric Society, vol. 58(3), pages 375-394, September.
    17. Maria Karlsson & Thomas Laitila, 2014. "Finite mixture modeling of censored regression models," Statistical Papers, Springer, vol. 55(3), pages 627-642, August.
    18. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
    19. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    20. Bonnet, Céline & Réquillart, Vincent, 2013. "Tax incidence with strategic firms in the soft drink market," Journal of Public Economics, Elsevier, vol. 106(C), pages 77-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    2. Le Bodo, Yann & Etilé, Fabrice & Julia, Chantal & Friant-Perrot, Marine & Breton, Eric & Lecocq, Sébastien & Boizot-Szantai, Christine & Bergeran, Céline & Jabot, Françoise, 2022. "Public health lessons from the French 2012 soda tax and insights on the modifications enacted in 2018," Health Policy, Elsevier, vol. 126(7), pages 585-591.
    3. Fabrice Etilé & Sébastien Lecocq & Christine Boizot-Szantai, 2021. "Market heterogeneity and the distributional incidence of soft-drink taxes: evidence from France [Regressive sin taxes, with an application to the optimal soda tax]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 915-939.
    4. Xiang, Di & Zhan, Lue & Bordignon, Massimo, 2020. "A reconsideration of the sugar sweetened beverage tax in a household production model," Food Policy, Elsevier, vol. 95(C).
    5. Bonnet, Céline & Réquillart, Vincent, 2023. "The effects of taxation on the individual consumption of sugar-sweetened beverages," Economics & Human Biology, Elsevier, vol. 51(C).
    6. Anurag Sharma & Brian Vandenberg, 2019. "Heterogenous wealth effects of minimum unit price on purchase of alcohol: Evidence using scanner data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    7. Etilé, Fabrice & Frijters, Paul & Johnston, David W. & Shields, Michael A., 2021. "Measuring resilience to major life events," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 598-619.
    8. Blake, Miranda R. & Lancsar, Emily & Peeters, Anna & Backholer, Kathryn, 2019. "Sugar-sweetened beverage price elasticities in a hypothetical convenience store," Social Science & Medicine, Elsevier, vol. 225(C), pages 98-107.
    9. Etilé, F.; & Lecocq, S.; & Boizot-Szantaï, C.;, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare:Evidence from the French “Soda Taxâ€," Health, Econometrics and Data Group (HEDG) Working Papers 18/13, HEDG, c/o Department of Economics, University of York.
    10. Fabrice Etilé, 2019. "The Economics of Diet and Obesity: Public Policy," Post-Print hal-02154445, HAL.
    11. Capacci, Sara & Leucci, Anna Caterina & Mazzocchi, Mario, 2018. "There is no such thing as a (gluten-)free lunch: Higher food prices and the cost for coeliac consumers," Economics & Human Biology, Elsevier, vol. 30(C), pages 84-91.
    12. Sriparna Ghosh & Joshua C. Hall, 2018. "The Political Economy of Soda Taxation," Economics Bulletin, AccessEcon, vol. 38(2), pages 1045-1051.
    13. Mahmoud ABDEL HAMID SALEH & Abdullah Mohammed ALHIDARI & Abdulrahman AL-MANSOUR & AbdulElah AL-KHUDHAIR, 2018. "Health Awareness and Price Sensitivity as Predictors of Consumer’s Purchase Attitude towards Soft Drinks," Expert Journal of Marketing, Sprint Investify, vol. 6(1), pages 22-32.
    14. Mathieu-Bolh, Nathalie & Wendner, Ronald, 2020. "We are what we eat: Obesity, income, and social comparisons," European Economic Review, Elsevier, vol. 128(C).
    15. Etilé, Fabrice & Frijters, Paul & Johnston, David W. & Shields, Michael A., 2020. "Psychological Resilience to Major Socioeconomic Life Events," IZA Discussion Papers 13063, Institute of Labor Economics (IZA).
    16. Gonçalves, Judite & Pereira dos Santos, João, 2020. "Brown sugar, how come you taste so good? The impact of a soda tax on prices and consumption," Social Science & Medicine, Elsevier, vol. 264(C).
    17. Jacqueline A. Mauro & Edward H. Kennedy & Daniel Nagin, 2020. "Instrumental variable methods using dynamic interventions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1523-1551, October.
    18. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    19. Yang, Wei & Vatsa, Puneet & Ma, Wanglin & Zheng, Hongyun, 2023. "Does mobile payment adoption really increase online shopping expenditure in China: A gender-differential analysis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 99-110.
    20. Fabrice Etilé & Sebastien Lecocq & Christine Boizot-Szantai, 2018. "The Incidence of Soft-Drink Taxes on Consumer Prices and Welfare: Evidence from the French " Soda Tax"," Working Papers halshs-01808198, HAL.
    21. Juan Carlos Caro & Pourya Valizadeh & Alejandrina Correa & Andres Silva & Shu Wen Ng, 2020. "Combined fiscal policies to promote healthier diets: Effects on purchases and consumer welfare," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-23, January.
    22. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2016. "Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data," Melbourne Institute Working Paper Series wp2016n25, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    23. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Joselin Segovia & Mercy Orellana & Juan Pablo Sarmiento & Darwin Carchi, 2020. "The effects of taxing sugar-sweetened beverages in Ecuador: An analysis across different income and consumption groups," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    2. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    3. Anurag Sharma & Katharina Hauck & Bruce Hollingsworth & Luigi Siciliani, 2014. "The Effects Of Taxing Sugar‐Sweetened Beverages Across Different Income Groups," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1159-1184, September.
    4. Anurag Sharma & Fabrice Etilé & Kompal Sinha, 2016. "The Effect of Introducing a Minimum Price on the Distribution of Alcohol Purchase: A Counterfactual Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1182-1200, September.
    5. Caro, Juan Carlos & Ng, Shu Wen & Taillie, Lindsey Smith & Popkin, Barry M., 2017. "Designing a tax to discourage unhealthy food and beverage purchases: The case of Chile," Food Policy, Elsevier, vol. 71(C), pages 86-100.
    6. Fabrice Etilé, 2019. "The Economics of Diet and Obesity: Public Policy," PSE-Ecole d'économie de Paris (Postprint) hal-02154445, HAL.
    7. Jakina Debnam, 2017. "Selection Effects and Heterogeneous Demand Responses to the Berkeley Soda Tax Vote," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1172-1187.
    8. Juan Carlos Caro & Shu Wen Ng & Ricardo Bonilla & Jorge Tovar & Barry M Popkin, 2017. "Sugary drinks taxation, projected consumption and fiscal revenues in Colombia: Evidence from a QUAIDS model," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    9. Xiang, Di & Zhan, Lue & Bordignon, Massimo, 2020. "A reconsideration of the sugar sweetened beverage tax in a household production model," Food Policy, Elsevier, vol. 95(C).
    10. Massimo Bordignon & Di Xiang & Lue Zhan, 2018. "Predicting the Effects of a Sugar Sweetened Beverage Tax in a Household Production Model," DISCE - Working Papers del Dipartimento di Economia e Finanza def075, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    11. Fabrice Etilé & Sébastien Lecocq & Christine Boizot-Szantai, 2021. "Market heterogeneity and the distributional incidence of soft-drink taxes: evidence from France [Regressive sin taxes, with an application to the optimal soda tax]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 915-939.
    12. Echeverría, Lucía & Molina, José Alberto, 2021. "Poor vs Non-Poor Households in Uruguay: Welfare Differences from Food Price Changes," GLO Discussion Paper Series 890, Global Labor Organization (GLO).
    13. McCullough, Ellen & Zhen, Chen & Shin, Soye & Lu, Meichen & Arsenault, Joanne, 2022. "The role of food preferences in determining diet quality for Tanzanian consumers," Journal of Development Economics, Elsevier, vol. 155(C).
    14. Richard Tiffin & Ariane Kehlbacher & Matthew Salois, 2015. "The Effects of A Soft Drink Tax in the UK," Health Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 583-600, May.
    15. SERSE Valerio,, 2019. "Do sugar taxes affect the right consumers ?," LIDAM Discussion Papers CORE 2019017, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Finkelstein, Eric A. & Zhen, Chen & Bilger, Marcel & Nonnemaker, James & Farooqui, Assad M. & Todd, Jessica E., 2013. "Implications of a sugar-sweetened beverage (SSB) tax when substitutions to non-beverage items are considered," Journal of Health Economics, Elsevier, vol. 32(1), pages 219-239.
    17. Anurag Sharma & Brian Vandenberg, 2019. "Heterogenous wealth effects of minimum unit price on purchase of alcohol: Evidence using scanner data," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    18. Chen Zhen & Mary Muth & Abigail Okrent & Shawn Karns & Derick Brown & Peter Siegel, 2019. "Do differences in reported expenditures between household scanner data and expenditure surveys matter in health policy research?," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 782-800, June.
    19. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    20. Zhen, Chen & Chen, Yu & Lin, Biing-Hwan & Karns, Shawn & Mancino, Lisa & Ver Ploeg, Michele, 2021. "Do Obese and Nonobese Consumers Respond Differently to Price Changes? Implications of Preference Heterogeneity for Using Food Taxes and Subsidies to Reduce Obesity," MPRA Paper 112697, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:24:y:2015:i:9:p:1147-1163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.