IDEAS home Printed from https://ideas.repec.org/p/ags/aaea01/20573.html
   My bibliography  Save this paper

Maximum Likelihood Estimation Of A Random Coefficient Meat Demand System

Author

Listed:
  • Hahn, William F.

Abstract

The paper demonstrates that random coefficient models can be estimated by maximum likelihood if they are specified as generalized least squares models. The paper uses maximum likelihood estimation on a random-coefficient, meat-demand system. Statistical tests show that price elasticities are random, but expenditure elasticities are not. The statistical tests allow one to count the number of factors that cause randomness without requiring one to know what they are. There appear to be only two factors that make the price elasticities random.

Suggested Citation

  • Hahn, William F., 2001. "Maximum Likelihood Estimation Of A Random Coefficient Meat Demand System," 2001 Annual meeting, August 5-8, Chicago, IL 20573, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea01:20573
    DOI: 10.22004/ag.econ.20573
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/20573/files/sp01ha02.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.20573?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. Chalfant, James A & Alston, Julian M, 1988. "Accounting for Changes in Tastes," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 391-410, April.
    2. Giancarlo Moschini & Daniele Moro & Richard D. Green, 1994. "Maintaining and Testing Separability in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 61-73.
    3. Hahn, William F., 1994. "A Random Coefficient Meat Demand Model," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 45(3), pages 1-10.
    4. Keller, W.J. & Van Driel, J., 1985. "Differential consumer demand systems," European Economic Review, Elsevier, vol. 27(3), pages 375-390.
    5. Barten, A. P. & Bettendorf, L. J., 1989. "Price formation of fish : An application of an inverse demand system," European Economic Review, Elsevier, vol. 33(8), pages 1509-1525, October.
    6. Alston, Julian M. & Chalfant, James A., 1991. "Can We Take The Con Out Of Meat Demand Studies?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(01), pages 1-13, July.
    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. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.

    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. Richards, Timothy J. & Kagan, Albert & Gao, Xiaoming, 1997. "Factors Influencing Changes In Potato And Potato Substitute Demand," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(01), pages 1-15, April.
    2. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    3. Aziz, Babar & Shahnawaz, Malik, 2005. "Demand for Meat; Seprability and Structural changes (A Nonparametric Analysis)," MPRA Paper 22932, University Library of Munich, Germany, revised 2005.
    4. Dong, Fengxia & Fuller, Frank H., 2004. "Testing For Separability And Structural Change In Urban Chinese Food Demand," 2004 Annual meeting, August 1-4, Denver, CO 19923, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Hussein, Zekarias & Rodriguez, Nestor & Eales, James S., 2013. "STARs with the GIDDS: Smooth Transition Functions and Structural Change," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150755, Agricultural and Applied Economics Association.
    6. 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.
    7. Wildner, Susanne, 2001. "Quantifizierung der Preis– und Ausgabenelastizitäten für Nahrungsmittel in Deutschland: Schätzung eines LA/AIDS," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(05), pages 1-11.
    8. Jin, Hyun Joung & Koo, Won W., 2003. "The Effect Of Food-Safety Related Information On Consumers' Preference: The Case Of Bse Outbreak In Japan," 2003 Annual meeting, July 27-30, Montreal, Canada 22043, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Moro, Daniele & Sckokai, Paolo, 1999. "A Quadratic Inverse Demand System," 1999 Annual meeting, August 8-11, Nashville, TN 21560, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Matthew T. Holt & Joseph V. Balagtas, 2009. "Estimating Structural Change with Smooth Transition Regressions: An Application to Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1424-1431.
    11. 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.
    12. Abid A. Burki, 1997. "Estimating Consumer Preferences for Food, Using Time Series Data of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 36(2), pages 131-153.
    13. Piggott, Nicholas E. & Wright, Vic, 1992. "From Consumer Choice Process To Aggregate Analysis: Marketing Insights For Models Of Meat Demand," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 36(3), pages 1-16, December.
    14. Hailu, Getu & Goddard, Ellen W., 2010. "The changing egg demand in Canada: do advertising and health message contents matter?," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116427, European Association of Agricultural Economists.
    15. Xiao, Hui & Kinnucan, Henry W. & Kaiser, Harry M., 1998. "Advertising, Structural Change, And U.S. Non-Alcoholic Beverage Demand," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20885, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Abderraouf Laajimi & Boubaker Dhehibi & José Maria Gil, 2003. "The structure of food demand in Tunisai: a differential system approach," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 66, pages 55-77.
    17. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    18. Huang, Pei, 2014. "An Inverse Demand System for Blue Crab in the Chesapeake Bay: Endogeneity and Seasonality," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169827, Agricultural and Applied Economics Association.
    19. Davis, George C., 2001. "Confirmation And Falsification Of Equilibrium Displacement Models," 2001 Annual meeting, August 5-8, Chicago, IL 20525, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Toshinobu Matsuda, 2005. "Differential Demand Systems: A Further Look at Barten's Synthesis," Southern Economic Journal, John Wiley & Sons, vol. 71(3), pages 607-619, January.

    More about this item

    Keywords

    Demand and Price Analysis;

    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:aaea01:20573. 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.