IDEAS home Printed from https://ideas.repec.org/a/ags/jloagb/14652.html
   My bibliography  Save this article

The Effect Of Rounding On The Probability Distribution Of Regrading In The U.S. Peanut Industry

Author

Listed:
  • Diaz, Edgar F. Pebe
  • Brorsen, B. Wade
  • Anderson, Kim B.
  • Richter, Francisca G.-C.
  • Kenkel, Philip L.

Abstract

This article determines the effect of rounding (pointing-off) of grade percentages to the nearest whole number on the probability distribution of regrading in the peanut industry. Results show that rounding causes graders to have to regrade an extra 4% of samples even when they follow all directions and make no mistakes. When rounding was not used, the sample weight had little effect on the probability of regrading. With rounding, the probability of regrading was reduced by beginning with a larger than 500-gram sample. Thus, rounding provides an incentive to take overweight samples in order to avoid regrading. Overweight samples can overestimate the value of peanuts. A low-cost way to improve peanut grading accuracy would be to round to tenths rather than whole numbers.

Suggested Citation

  • Diaz, Edgar F. Pebe & Brorsen, B. Wade & Anderson, Kim B. & Richter, Francisca G.-C. & Kenkel, Philip L., 2002. "The Effect Of Rounding On The Probability Distribution Of Regrading In The U.S. Peanut Industry," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 20(1).
  • Handle: RePEc:ags:jloagb:14652
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/14652
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kyle Stiegert & B. Wade Brorsen, 1996. "The distribution of futures prices: diffusion-jump versus generalized beta-2," Applied Economics Letters, Taylor & Francis Journals, vol. 3(5), pages 303-305.
    2. Akgiray, Vedat & Booth, Geoffrey, 1986. "Stock Price Processes with Discontinuous Time Paths: An Empirical Examination," The Financial Review, Eastern Finance Association, vol. 21(2), pages 163-184, May.
    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. Philippe Marcoul & John Lawrence, 2007. "Grader Bias in Cattle Markets? Evidence from Iowa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 890-903.
    2. Hatchett, Robert B. & Brorsen, B. Wade & Anderson, Kim B., 2010. "Optimal Length of Moving Average to Forecast Futures Basis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(1), April.

    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:jloagb:14652. 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). General contact details of provider: http://edirc.repec.org/data/aeaggea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.