IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2016n25.html
   My bibliography  Save this paper

Preschool Children’s Demand for Sugar Sweetened Beverages: Evidence from Stated-Preference Panel Data

Author

Listed:
  • Ou Yang

    (Department of Econometrics and Business Statistics, Monash University)

  • Peter Sivey

    (Department of Economics and Finance, La Trobe University)

  • Andrea M. de Silva

    (Melbourne Dental School, The University of Melbourne)

  • Anthony Scott

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

Consumption of sugar sweetened beverages exhibits strong associations with weight gain, obesity, and dental caries, especially in young children. The aim of this paper is to examine the impact of price changes on children’s consumption of sugar-sweetened beverages. Using micro-level panel data obtained from a stated preference experiment, we specify a two-sided censoring semi-parametric demand system model with fixed effects. To overcome an estimation difficulty that is potentially a common issue to all applications studying microlevel consumption data, we propose a new consistent two-step estimation framework. The economic restrictions implied by consumption theory are imposed through a consistent and asymptotically efficient GMM estimator. Our results show that the uncompensated own-price elasticities for sugar-sweetened beverages range from -0.83 to -0.94, demonstrating inelastic but substantial price effects. The marginal effects of demand with respect to nutritional attributes of sugar-sweetened beverages are negligible overall, but are strongest for those in low-income households. High-income households are less responsive to price and not responsive at all to non-price attributes.

Suggested Citation

  • 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.
    • Handle: RePEc:iae:iaewps:wp2016n25
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2016n25.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steven T. Yen & Biing-Hwan Lin, 2006. "A Sample Selection Approach to Censored Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 742-749.
    2. Hal R. Varian, 1983. "Non-parametric Tests of Consumer Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 50(1), pages 99-110.
    3. Deaton, Angus & Irish, Margaret, 1984. "Statistical models for zero expenditures in household budgets," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 59-80.
    4. Powell, James L, 1986. "Symmetrically Trimmed Least Squares Estimation for Tobit Models," Econometrica, Econometric Society, vol. 54(6), pages 1435-1460, November.
    5. Chen Zhen & Michael K. Wohlgenant & Shawn Karns & Phillip Kaufman, 2010. "Habit Formation and Demand for Sugar-Sweetened Beverages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 175-193.
    6. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    7. Jason M. Fletcher & David Frisvold & Nathan Tefft, 2010. "Can Soft Drink Taxes Reduce Population Weight?," Contemporary Economic Policy, Western Economic Association International, vol. 28(1), pages 23-35, January.
    8. Alan Sule & Honoré Bo E. & Hu Luojia & Leth-Petersen Søren, 2014. "Estimation of Panel Data Regression Models with Two-Sided Censoring or Truncation," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 1-20, January.
    9. Steven T. Yen & Biing-Hwan Lin & David M. Smallwood, 2003. "Quasi- and Simulated-Likelihood Approaches to Censored Demand Systems: Food Consumption by Food Stamp Recipients in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 458-478.
    10. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    11. Nayga, Rodolfo M., Jr., 1995. "Determinants Of U.S. Household Expenditures On Fruit And Vegetables: A Note And Update," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(2), pages 1-7, December.
    12. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    13. 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.
    14. Diansheng Dong & Harry M. Kaiser & Øystein Myrland, 2007. "Quantity and quality effects of advertising: a demand system approach," Agricultural Economics, International Association of Agricultural Economists, vol. 36(3), pages 313-324, May.
    15. Diansheng Dong & Christopher G. Davis & Hayden Stewart, 2015. "The quantity and variety of households’ meat purchases: A censored demand system approach," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 99-112, January.
    16. Gayaneh Kyureghian & Rodolfo M. Nayga, Jr. & Suparna Bhattacharya, 2013. "The Effect of Food Store Access and Income on Household Purchases of Fruits and Vegetables: A Mixed Effects Analysis," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(1), pages 69-88.
    17. Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-242, April.
    18. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    19. Gallant, A. Ronald, 1981. "On the bias in flexible functional forms and an essentially unbiased form : The fourier flexible form," Journal of Econometrics, Elsevier, vol. 15(2), pages 211-245, February.
    20. Scott, Anthony & Witt, Julia & Humphreys, John & Joyce, Catherine & Kalb, Guyonne & Jeon, Sung-Hee & McGrail, Matthew, 2013. "Getting doctors into the bush: General Practitioners' preferences for rural location," Social Science & Medicine, Elsevier, vol. 96(C), pages 33-44.
    21. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    22. Adolf Buse, 1998. "Testing Homogeneity in the Linearized Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 208-220.
    23. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    24. Capps Jr., Oral & Church, Jeffrey & Alan Love, H., 2003. "Specification issues and confidence intervals in unilateral price effects analysis," Journal of Econometrics, Elsevier, vol. 113(1), pages 3-31, March.
    25. David E. Sahn, 2005. "Consistent Estimation of Censored Demand Systems Using Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 660-672.
    26. Haag, Berthold R. & Hoderlein, Stefan & Pendakur, Krishna, 2009. "Testing and imposing Slutsky symmetry in nonparametric demand systems," Journal of Econometrics, Elsevier, vol. 153(1), pages 33-50, November.
    27. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    28. Steven T. Yen, 2005. "A Multivariate Sample-Selection Model: Estimating Cigarette and Alcohol Demands with Zero Observations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 453-466.
    29. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    30. Alain Carpentier & Hervé Guyomard, 2001. "Unconditional Elasticities in Two-Stage Demand Systems: An Approximate Solution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 222-229.
    31. Arthur Lewbel, 1989. "Identification and Estimation of Equivalence Scales under Weak Separability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 311-316.
    32. Manser, Marilyn E & McDonald, Richard J, 1988. "An Analysis of Substitution Bias in Measuring Inflation, 1959-85," Econometrica, Econometric Society, vol. 56(4), pages 909-930, July.
    33. 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.
    34. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    35. Hoderlein, Stefan & Mihaleva, Sonya, 2008. "Increasing the price variation in a repeated cross section," Journal of Econometrics, Elsevier, vol. 147(2), pages 316-325, December.
    36. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    37. 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.
    38. Vella, F, 1992. "Simple Tests for Sample Selection Bias in Censored and Discrete Choice Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(4), pages 413-421, Oct.-Dec..
    39. Honore, Bo E. & Powell, James L., 1994. "Pairwise difference estimators of censored and truncated regression models," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 241-278.
    40. Fredrik Carlsson & Peter Martinsson, 2003. "Design techniques for stated preference methods in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 281-294, April.
    41. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(01), pages 1-18, July.
    42. Steven Yen & Kamhon Kan & Shew-Jiuan Su, 2002. "Household demand for fats and oils: two-step estimation of a censored demand system," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1799-1806.
    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. Jean Spinks & Son Nghiem & Joshua Byrnes, 2021. "Risky business, healthy lives: how risk perception, risk preferences and information influence consumer’s risky health choices," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 811-831, July.
    2. 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.
    3. Sun, Huiqian & Jing, Peng & Wang, Baihui & Cai, Yunhao & Ye, Jie & Wang, Bichen, 2023. "The effect of record-high gasoline prices on the consumers’ new energy vehicle purchase intention: Evidence from the uniform experimental design," Energy Policy, Elsevier, vol. 175(C).

    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. 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.
    2. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    3. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    4. Thomas, Alban & Chakir, Raja, 2020. "Unintended consequences of environmental policies: the case of set-aside and agricultural intensification," TSE Working Papers 20-1066, Toulouse School of Economics (TSE).
    5. Adélaïde Fadhuile & Stéphane Lemarié & Alain Pirotte, 2016. "Disaggregating the Demand for Pesticides: Does it Matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 223-252, June.
    6. 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.
    7. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    8. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.
    9. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association.
    10. 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.
    11. 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.
    12. Rosario Crinò, 2010. "Service Offshoring and White-Collar Employment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 595-632.
    13. Hongbo Liu & Kevin A. Parton & Zhang-Yue Zhou & Rod Cox, 2009. "At-home meat consumption in China: an empirical study ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 485-501, October.
    14. Lin, Biing-Hwan & Dong, Diansheng & Carlson, Andrea & Rahkovsky, Ilya, 2017. "Potential dietary outcomes of changing relative prices of healthy and less healthy foods: The case of ready-to-eat breakfast cereals," Food Policy, Elsevier, vol. 68(C), pages 77-88.
    15. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    16. Javier García-Enríquez & Cruz A. Echevarría, 2018. "Demand for culture in Spain and the 2012 VAT rise," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 469-506, August.
    17. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
    18. Rosario Crinò, "undated". "Service Offshoring and White-Collar Employment," Working Papers 391, Barcelona School of Economics.
    19. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    20. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2004. "Consistent Estimation Of Longitudinal Censored Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 19992, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:iae:iaewps:wp2016n25. 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: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.html .

    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.