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Bayesian Estimation of a Censored AIDS Model for Whole Grain Products

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  • Ishdorj, Ariun
  • Jensen, Helen H.
Abstract
When using household-level data in examining consumer's demand it is common to find that consumers purchase only a subset of the available goods, setting the demand for the remaining goods to zero. Ignoring such censoring of the dependent variables in the estimation can lead to biased parameter estimates. In this paper we investigate the household's demand for six types of whole grain and non-whole grain breakfast cereals and products using a censored Almost Ideal Demand System (AIDS) and estimate the parameters of the demand system via Bayesian methods. Using 2006 ACNielsen Homescan data we find that demand for whole grain and non-whole grain ready-to-eat cereals is less responsive to changes in prices; demand for whole-grain bars and non-whole grain hot cereals is relatively price sensitive. The elasticity estimates show that whole grain ready-to-eat cereals and whole grain bars have relatively higher expenditure elasticities than is the case for the other goods.

Suggested Citation

  • Ishdorj, Ariun & Jensen, Helen H., 2008. "Bayesian Estimation of a Censored AIDS Model for Whole Grain Products," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6075, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea08:6075
    DOI: 10.22004/ag.econ.6075
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    References listed on IDEAS

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    1. 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.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. Steven T. Yen & Terry L. Roe, 1989. "Estimation of a Two-Level Demand System with Limited Dependent Variables," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 85-98.
    4. 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.
    5. Buzby, Jean C. & Farah, Hodan A. & Vocke, Gary, 2005. "Will 2005 Be the Year of the Whole Grains?," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-6, June.
    6. Eugene Jones & Cuma Akbay & Brian Roe & Wen S. Chern, 2003. "Analyses of consumers' dietary behavior: An application of the AIDS model to supermarket scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 19(2), pages 203-221.
    7. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    8. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    9. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    10. Blisard, Noel, 2000. "Food Spending by U.S. Households Grew Steadily in the 1990's," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 23(3), September.
    11. Liu, S. & Manson, J.E. & Stamfer, M.J. & Hu, F.B. & Giovannucci, E. & Colditz, G.A. & Hennekens, C.H. & Willett, W.C., 2000. "A prospective study of whole-grain intake and risk of type 2 diabetes mellitus in US women," American Journal of Public Health, American Public Health Association, vol. 90(9), pages 1409-1415.
    12. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    13. 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.
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    Cited by:

    1. Rahkovsky, Ilya & Gregory, Christian A., 2013. "Food prices and blood cholesterol," Economics & Human Biology, Elsevier, vol. 11(1), pages 95-107.
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