Advanced Search
MyIDEAS: Login

Empirical Investigation Of The Impact Of The 2007 Recall On The Demand For Peanut Butter Brands

Contents:

Author Info

  • Bakhtavoryan, Rafael
  • Capps, Oral, Jr.
  • Salin, Victoria
Registered author(s):

    Abstract

    The US Food and Drug Administration confirmed in February 2007 that a major foodborne illness outbreak was caused by two peanut butter brands, Peter Pan and Great Value, manufactured by ConAgra Foods Inc. at its Sylvester, Georgia, processing plant. As a result, on February 14, 2007, ConAgra voluntarily issued a nationwide recall of its Peter Pan and Great Value peanut butter products produced since May 2006 and sold through grocery and retail stores throughout the United States. Using the ACNielsen Homescan Panel for calendar years 2006, 2007 and 2008, this study investigates the impacts of the recall on the demand for peanut butter by estimating a second degree polynomial distributed lag with a lag length of three and endpoint restrictions imposed. The estimation results showed that the recall did have a statistically significant positive impact on the demand for peanut butter as a category. Also, the recall appeared to have had a statistically significant demand-enhancing effect on the Jif peanut butter brand and a demand-diminishing effect on the Skippy peanut butter brand. In all the cases, the maximum impact of the recall took place one to two weeks after the release of the recall.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://purl.umn.edu/103217
    Download Restriction: no

    Bibliographic Info

    Paper provided by Agricultural and Applied Economics Association in its series 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania with number 103217.

    as in new window
    Length:
    Date of creation: 2011
    Date of revision:
    Handle: RePEc:ags:aaea11:103217

    Contact details of provider:
    Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202
    Phone: (414) 918-3190
    Fax: (414) 276-3349
    Email:
    Web page: http://www.aaea.org
    More information through EDIRC

    Related research

    Keywords: food recalls; polynomial distributed lag model; consumer behavior; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Health Economics and Policy; Marketing;

    This paper has been announced in the following NEP Reports:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:ags:aaea11:103217. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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