IDEAS home Printed from https://ideas.repec.org/p/ags/aaea08/6075.html
   My bibliography  Save this paper

Bayesian Estimation of a Censored AIDS Model for Whole Grain Products

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/6075/files/465084.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.6075?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rahkovsky, Ilya & Gregory, Christian A., 2013. "Food prices and blood cholesterol," Economics & Human Biology, Elsevier, vol. 11(1), pages 95-107.
    2. Wang, Hainan & Mittelhammer, Ronald C. & McCluskey, Jill J. & Bai, Junfei, 2011. "Food Processing Degrees: Evidence from Beijing Household Survey," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103963, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    2. Ishdorj, Ariun, 2008. "Essays on food assistance program participation and demand for food," ISU General Staff Papers 2008010108000016750, Iowa State University, Department of Economics.
    3. Adélaïde Fadhuile & Stéphane Lemarié & Alain Pirotte, 2016. "Disaggregating the Demand for Pesticides: Does it Matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 223-252, June.
    4. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    5. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    6. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
    7. Davis, Christopher G. & Blayney, Donald P. & Dong, Diansheng & Yen, Steven T. & Johnson, Rachel J., 2011. "Will Changing Demographics Affect U.S. Cheese Demand?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 43(2), pages 1-15, May.
    8. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    9. Pofahl, Geoffrey M. & Capps, Oral, Jr. & Clauson, Annette L., 2005. "Demand for Non-Alcoholic Beverages: Evidence From The ACNielsen Home Scan Panel," 2005 Annual meeting, July 24-27, Providence, RI 19441, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Steven T. Yen & Biing-Hwan Lin, 2006. "A Sample Selection Approach to Censored Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 742-749.
    11. Fabrizio Balli & Silvia Tiezzi, 2010. "Equivalence scales, the cost of children and household consumption patterns in Italy," Review of Economics of the Household, Springer, vol. 8(4), pages 527-549, December.
    12. Vasiliki Fourmouzi & Margarita Genius & Peter Midmore, 2012. "The Demand for Organic and Conventional Produce in London, UK: A System Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 677-693, September.
    13. Fabiosa, Jacinto F. & Jensen, Helen H., 2003. "Usefulness of Incomplete Demand Model in Censored Demand System Estimation," 2003 Annual meeting, July 27-30, Montreal, Canada 21923, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Gould, Brian W. & Lee, Yoonjung & Dong, Diansheng & Villarreal, Hector J., 2002. "Household Size And Composition Impacts On Meat Demand In Mexico: A Censored Demand System Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19722, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    16. Jing Li & Edward C. Jaenicke & Tobenna D. Anekwe & Alessandro Bonanno, 2018. "Demand for ready‐to‐eat cereals with household‐level censored purchase data and nutrition label information: A distance metric approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 687-713, October.
    17. Fabiosa, Jacinto F. & Jensen, Helen H. & Yan, Dong, 2005. "Household Welfare Cost of the Indonesian Macroeconomic Crisis," 2005 Annual meeting, July 24-27, Providence, RI 19311, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.
    19. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association.
    20. Koutchade, Obafèmi Philippe & Carpentier, Alain & Femenia, Fabienne, 2015. "Corner solutions in empirical acreage choice models: an andogeneous switching regime approach with regime fixed cost," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206060, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Demand and Price Analysis;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea08:6075. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.