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

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  • 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), pages 1-14.
    • Handle: RePEc:ags:jloagb:14652
    DOI: 10.22004/ag.econ.14652
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    References listed on IDEAS

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    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), pages 1-16.

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