IDEAS home Printed from https://ideas.repec.org/a/cup/agrerw/v31y2002i01p47-58_00.html
   My bibliography  Save this article

Effects of Meat Recalls on Futures Market Prices

Author

Listed:
  • Lusk, Jayson L.
  • Schroeder, Ted C.

Abstract

The number of meat recalls has increased markedly in recent years. This research examines the impact of beef and pork recall announcements on nearby daily live cattle and lean hog futures market prices, respectively. Results indicate medium-sized beef recalls that are of serious health concerns have a marginally negative impact on short-term live cattle futures prices. However, results are not robust across recall size and severity. This research suggests that if there is any systematic change in cattle and hog demand due to meat recalls, it likely occurs over an extended period of time and only in certain cases does it noticeably affect daily futures prices.

Suggested Citation

  • Lusk, Jayson L. & Schroeder, Ted C., 2002. "Effects of Meat Recalls on Futures Market Prices," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(1), pages 47-58, April.
  • Handle: RePEc:cup:agrerw:v:31:y:2002:i:01:p:47-58_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1068280500003476/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of 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. Kinnucan, Henry W. & Chang, Hui-Shung (Christie) & Venkateswaran, Meenakshi, 1993. "Generic Advertising Wearout," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 61(03), pages 1-15, December.
    3. Rodney G. Robenstein & Walter N. Thurman, 1996. "Health Risk and the Demand for Red Meat: Evidence from Futures Markets," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 18(4), pages 629-641.
    4. Flake, Oliver L. & Patterson, Paul M., 1999. "Health, Food Safety And Meat Demand," 1999 Annual meeting, August 8-11, Nashville, TN 21648, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    6. Oral Capps, 1989. "Utilizing Scanner Data to Estimate Retail Demand Functions for Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 750-760.
    7. John D. Jackson, 1997. "Effects of Health Information and Generic Advertising on U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 13-23.
    Full references (including those not matched with items on IDEAS)

    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. Chen Zhen & Michael K. Wohlgenant, 2006. "Meat Demand under Rational Habit Persistence," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 477-495, December.
    2. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. McKenzie, Andrew M. & Thomsen, Michael R., 2001. "The Effect Of E. Coli O157:H7 On Beef Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-14, December.
    4. 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.
    5. 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.
    6. 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).
    7. Verbeke, Wim & Ward, Ronald W., 2001. "A fresh meat almost ideal demand system incorporating negative TV press and advertising impact," Agricultural Economics, Blackwell, vol. 25(2-3), pages 359-374, September.
    8. Mabiso, Athur & Weatherspoon, Dave D., 2008. "Fuel and Food Tradeoffs: A Preliminary Analysis of South African Food Consumption Patterns," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6126, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Lusk, Jayson L. & Marsh, Thomas L. & Schroeder, Ted C. & Fox, John A., 2001. "Wholesale Demand For Usda Quality Graded Boxed Beef And Effects Of Seasonality," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-16, July.
    10. Moon, Wanki & Ward, Ronald W., 1999. "Effects Of Health Concerns And Consumer Characteristics On U.S. Meat Consumption," 1999 Annual meeting, August 8-11, Nashville, TN 21682, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Rodriguez, Nestor & Eales, James S., 2015. "Structural Change via Threshold Effects: Estimating U.S. Meat Demand Using Smooth Transition Functions and the Effects of More Women in the Labor Force," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206522, Agricultural and Applied Economics Association.
    12. Lerohl, Mel L. & Goddard, Ellen W. & Lomeli, Jose L., 2004. "Effects Of Advertising, Food Safety And Health Concerns On Meat Demand In Canada," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(1), pages 1-3, March.
    13. 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.
    14. Matthew Houser & Jeffrey H Dorfman & Roderick M Rejesus, 2019. "The Longā€Term Effects of Meat Recalls on Futures Markets," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(2), pages 235-248, June.
    15. Davis, George C., 1998. "Testing Aggregation Without Separability In Meat Demand: An Investigation Of The Generalized Composite Commodity Theorem," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20895, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. 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).
    17. Evans, Jason R. & D'Souza, Gerard E. & Collins, Alan R. & Brown, Cheryl & Sperow, Mark, 2011. "Determining Consumer Perceptions of and Willingness to Pay for Appalachian Grass-Fed Beef: An Experimental Economics Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-18, August.
    18. Caputo, Vincenzina & Lusk, Jayson L., 2022. "The Basket-Based Choice Experiment: A Method for Food Demand Policy Analysis," Food Policy, Elsevier, vol. 109(C).
    19. 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.
    20. Dyack, Brenda & Goddard, Ellen W., 2001. "The Rise of Red and the Wane of White: Wine Demand in Ontario Canada," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125617, Australian Agricultural and Resource Economics Society.

    More about this item

    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:cup:agrerw:v:31:y:2002:i:01:p:47-58_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/age .

    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.