For Whom Reduced Prices Count: A Censored Quantile Regression Analysis Of Vegetable Demand
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.
|Date of creation:||2004|
|Contact details of provider:|| Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202|
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Moschini, GianCarlo, 1995. "Units of Measurement and the 'Stone Index' In Demand System Estimation," Staff General Research Papers Archive 5058, Iowa State University, Department of Economics.
- 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, 04.
- 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.
- 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.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
- 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.
- Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, September.
- 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.
- 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.
- Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June. Full references (including those not matched with items on IDEAS)