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For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand

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  • Gustavsen, Geir Waehler
  • Rickertsen, Kyrre

Abstract

Low consumption of vegetables is linked to many diseases. From a health perspective, the distribution of consumption is at least as important as mean consumption. We investigated the differential effects of policy changes on high- and low-consuming households by using 15,700 observations from 1986 to 1997. Many households did not purchase vegetables during the two-week survey periods and censored as well as ordinary quantile regressions were estimated. Removal of the value added tax for vegetables, income increases, and health information are unlikely to substantially increase purchases in low-consuming households. Nevertheless, information provision is cheap and best targeted at low-consuming households.

Suggested Citation

  • Gustavsen, Geir Waehler & Rickertsen, Kyrre, 2004. "For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand," 2004 Annual meeting, August 1-4, Denver, CO 20172, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:20172
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Rickertsen, Kyrre & Chalfant, James A & Steen, Marie, 1995. "The Effects of Advertising on the Demand for Vegetables," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 22(4), pages 481-494.
    5. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    6. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    7. Kyrre Rickertsen & Dadi Kristofersson & Solveig Lothe, 2003. "Effects of health information on Nordic meat and fish demand," Empirical Economics, Springer, vol. 28(2), pages 249-273, April.
    8. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    9. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    10. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    11. 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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    Cited by:

    1. Morra, Wayne & Hearn, Gail & Buck, Andrew J., 2009. "The market for bushmeat: Colobus Satanas on Bioko Island," Ecological Economics, Elsevier, vol. 68(10), pages 2619-2626, August.
    2. Cash, Sean B. & Lacanilao, Ryan D., 2007. "Taxing Food to Improve Health: Economic Evidence and Arguments," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(2), October.
    3. Gaurav Nayyar, 2009. "The Demand for Services in India. A Mirror Image of Engel's Law for Food?," Economics Series Working Papers 451, University of Oxford, Department of Economics.

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