Searching for the Possible Sources of Grader Bias in Beef Grading: A Non-parametric Approach

Ju Won Jang, Ariun Ishdorj and David Anderson

No 205734, 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association

Abstract: Because grading errors can impede the integrity of the beef grading system, it is important to investigate the existence and possible sources of grader bias. In this article, we use a non-parametric method to identify grader bias in the beef grading system. Using simulation studies, we show that this method performs well without the normal distribution assumption. We find that macroeconomic events and graders’ mood may affect grades using a non-parametric method. Further, the premium/discount analysis in this article suggested that, under the grid price system, livestock producers could have lost financially if human graders had been replaced by camera-grading system during our sample period.

Keywords: Agricultural and Food Policy; Institutional and Behavioral Economics; Livestock Production/Industries; Marketing; Production Economics; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 33
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea15:205734

DOI: 10.22004/ag.econ.205734

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