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Demand Interrelationships of At-Home Nonalcoholic Beverage Consumption in the United States


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  • Dharmasena, Senarath
  • Capps, Oral, Jr.
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    In this study we modeled demand interrelationships of at-home nonalcoholic beverage consumption in the United States using a unique data set developed using Nielsen HomeScan panel data of household purchases of nonalcoholic beverages over the period January 1998 through December 2003. We used 72 monthly observations of expenditure shares, real prices and real per capita expenditures of 10 unique categories of nonalcoholic beverages in a full-blown AIDS model with an adjustment for seasonal (quarterly) variability in data. Compared to similar studies done in the past, our study used a rich delineation of nonalcoholic beverage categories, and in particular introduced isotonics for the first time. Furthermore, our study provided more information about important sub categories of nonalcoholic beverages, such as, regular and diet soft drink partition to soft drink category, high-fat and low-fat partition to milk category, and fruit drinks and fruit juices partition in fruit beverages category. It also separated the effects of tea and coffee, unlike past studies in the literature where both tea and coffee were analyzed as a single category. Estimated own-price elasticities were theoretically consistent sign-wise (negative sign) and majority of compensated cross-price elasticities revealed that most of (60%) of nonalcoholic beverages were net substitutes. We found that isotonics were the most price and expenditure elastic nonalcoholic beverage and it is followed by regular soft drinks. Furthermore, milk was found to be net complements with fruit drinks, fruit juices, water, and tea. Additionally, diet and regular soft drinks were also net complements. Fruit juice and fruit drinks were found to be net substitutes. Our study further showed that high-fat milk was a net substitute for low-fat milk.

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    Paper provided by Agricultural and Applied Economics Association in its series 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin with number 49443.

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    Date of creation: 2009
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    Handle: RePEc:ags:aaea09:49443

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    Keywords: nonalcoholic beverage demand; AIDS model; Nielsen HomeScan data; Agribusiness; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; D11; D12;

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    1. Steven T. Yen & Biing-Hwan Lin & David M. Smallwood & Margaret Andrews, 2004. "Demand for nonalcoholic beverages: The case of low-income households," Agribusiness, John Wiley & Sons, Ltd., vol. 20(3), pages 309-321.
    2. Gould, Brian W., 1996. "Factors Affecting U.S. Demand For Reduced-Fat Fluid Milk," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(01), July.
    3. Rickertsen, Kyrre, 1998. "The demand for food and beverages in Norway," Agricultural Economics, Blackwell, vol. 18(1), pages 89-100, January.
    4. Ueda, Takeshi & Frechette, Darren L., 2002. "Have Milk Fat Preferences Shifted? Structural Analysis of New York Milk Consumption," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), April.
    5. Dharmasena, Senarath & Capps, Oral, Jr. & Clauson, Annette L., 2009. "Nutritional Contributions of Nonalcoholic Beverages to the U.S. Diet: 1998-2003," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46386, Southern Agricultural Economics Association.
    6. Gould, Brian W. & Cox, Thomas L. & Perali, Carlo Federico, 1990. "The Demand For Fluid Milk Products In The U.S.: A Demand Systems Approach," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(01), July.
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    Cited by:
    1. Fletcher, Jason M. & Frisvold, David E. & Tefft, Nathan, 2010. "The effects of soft drink taxes on child and adolescent consumption and weight outcomes," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 967-974, December.
    2. Bradbear, Catherine & Friel, Sharon, 2013. "Integrating climate change, food prices and population health," Food Policy, Elsevier, vol. 43(C), pages 56-66.


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