IDEAS home Printed from https://ideas.repec.org/p/ags/aaea06/21284.html
   My bibliography  Save this paper

Testing Structural Change in Demand for Foods

Author

Listed:
  • Huang, Kuo S.

Abstract

No abstract is available for this item.

Suggested Citation

  • Huang, Kuo S., 2006. "Testing Structural Change in Demand for Foods," 2006 Annual meeting, July 23-26, Long Beach, CA 21284, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21284
    DOI: 10.22004/ag.econ.21284
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21284/files/sp06hu07.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.21284?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. Giancarlo Moschini & Karl D. Meilke, 1989. "Modeling the Pattern of Structural Change in U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 253-261.
    2. Hicks, J. R., 1986. "A Revision of Demand Theory," OUP Catalogue, Oxford University Press, number 9780198285502.
    3. Jean-Paul Chavas, 1983. "Structural Change in the Demand for Meat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(1), pages 148-153.
    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. Huang, Kuo S. & Hahn, William F., 1995. "U.S. Quarterly Demand for Meats," Technical Bulletins 156769, United States Department of Agriculture, Economic Research Service.

    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. Unterschultz, James R., 2000. "New Instruments For Co-Ordination And Risk Sharing Within The Canadian Beef Industry," Project Report Series 24046, University of Alberta, Department of Resource Economics and Environmental Sociology.
    2. Goodwin, Barry K., 1992. "Forecasting Cattle Prices in the Presence of Structural Change," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(2), pages 11-22, December.
    3. Hsu, Jane Lu, 2000. "Gradual Switching Structural Changes of Meat Consumption in Taiwan," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123663, Australian Agricultural and Resource Economics Society.
    4. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    5. Rafael Cortez & Ben Senauer, 1996. "Taste Changes in the Demand for Food by Demographic Groups in the United States: A Nonparametric Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 280-289.
    6. Moschini, Giancarlo, 1991. "Testing for Preference Change in Consumer Demand: An Indirectly Separable, Semiparametric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 111-117, January.
    7. Goodwin, Barry K. & Harper, Daniel & Schnepf, Randy, 2003. "Short-Run Demand Relationships in the U.S. Fats and Oils Complex," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(1), pages 171-184, April.
    8. Eales, James S., 1994. "The Inverse Lewbel Demand System," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-10, July.
    9. Yadavalli, Anita & Jones, Keithly, 2014. "Does media influence consumer demand? The case of lean finely textured beef in the United States," Food Policy, Elsevier, vol. 49(P1), pages 219-227.
    10. Wolfram Schlenker & Sofia B. Villas-Boas, 2009. "Consumer and Market Responses to Mad Cow Disease," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1140-1152.
    11. Unknown, 1990. "Structural Change in Livestock: Causes, Implications, Alternatives," Research Institute on Livestock Pricing 232728, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    12. Harri, Ardian & Brorsen, B. Wade & Muhammad, Andrew & Anderson, John D., 2010. "Estimating a Demand System with Seasonally Differenced Data," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(2), pages 321-335, May.
    13. Schroeter, Christiane & Foster, Kenneth A., 2004. "The Impact Of Health Information And Demographic Changes On Aggregate Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 20130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Vardges Hovhannisyan & Brian W. Gould, 2014. "Structural change in urban Chinese food preferences," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 159-166, March.
    15. Roger A. Dahlgran & Dean G. Fairchild, 2002. "The demand impacts of chicken contamination publicity-a case study," Agribusiness, John Wiley & Sons, Ltd., vol. 18(4), pages 459-474.
    16. Poray, Michael C. & Foster, Kenneth A. & Dorfman, Jeffrey H., 2000. "Measuring An Almost Ideal Demand System With Generalized Flexible Least Squares," 2000 Annual meeting, July 30-August 2, Tampa, FL 21796, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Vardges Hovhannisyan & Brian W. Gould, 2011. "Quantifying the structure of food demand in China: An econometric approach," Agricultural Economics, International Association of Agricultural Economists, vol. 42, pages 1-18, November.
    18. Wolfram Schlenker & Sofia B. Villas-Boas, 2009. "Consumer and Market Responses to Mad Cow Disease," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1140-1152.
    19. Frechette, Darren L. & Jin, Hyun-Joung, 2002. "Distinguishing transitory nonlinear shocks from permanent structural change," Structural Change and Economic Dynamics, Elsevier, vol. 13(2), pages 231-248, June.

    More about this item

    Keywords

    Agribusiness;

    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:aaea06:21284. 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.