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Public Policies and the Demand for Carbonated Soft Drinks: A Censored Quantile Regression Approach

  • Gustavsen, Geir Waehler
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    Heavy consumption of soda may contribute to obesity, strokes, and cardiac problems. From a health perspective, the distribution of the consumption is at least as important as the mean. Censored as well as ordinary quantile regression techniques were used to estimate the demand for sugary soda based on household data from 1989 to 1999. It was found that heavy drinkers are more price- and expenditure-responsive than are light drinkers. The study shows that increasing the taxes on carbonated soft drinks will lead to a small reduction in consumption for small and moderate consumers and a huge reduction for heavy consumers.

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    File URL: http://purl.umn.edu/24737
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    Paper provided by European Association of Agricultural Economists in its series 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark with number 24737.

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    Date of creation: 2005
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    Handle: RePEc:ags:eaae05:24737
    Contact details of provider: Web page: http://www.eaae.org
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    1. Jayachandran N. Variyam & James Blaylock & David Smallwood, 2002. "Characterizing the Distribution of Macronutrient Intake among U.S. Adults: A Quantile Regression Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 454-466.
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    8. Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(03), December.
    9. Hurd, Michael, 1979. "Estimation in truncated samples when there is heteroscedasticity," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 247-258.
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