IDEAS home Printed from https://ideas.repec.org/p/ags/aaea15/205734.html
   My bibliography  Save this paper

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

Author

Listed:
  • Jang, Ju Won
  • Ishdorj, Ariun
  • Anderson, David P.

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suggested that, under the grid price system, livestock producers could have lost financially if human graders had been replaced by camera-grading system during our sample period.

Suggested Citation

  • Jang, Ju Won & Ishdorj, Ariun & Anderson, David P., 2015. "Searching for the Possible Sources of Grader Bias in Beef Grading: A Non-parametric Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205734, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:205734
    DOI: 10.22004/ag.econ.205734
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/205734/files/Manuscript_052715.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.205734?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Chalfant, James A. & James, Jennifer S. & Lavoie, Nathalie & Sexton, Richard J., 1999. "Asymmetric Grading Error And Adverse Selection: Lemons In The California Prune Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-23, July.
    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. Ferrier, Peyton & Liu, Qihong, 2010. "Consumer sorting of vertically differentiated goods," Economics Letters, Elsevier, vol. 109(1), pages 11-13, October.
    2. Resende Filho, Moises de Andrade, 2007. "A Principal-Agent Model for Investigating Traceability Systems Incentives on Food Safety," 105th Seminar, March 8-10, 2007, Bologna, Italy 7897, European Association of Agricultural Economists.
    3. Fraser, Iain, 2005. "Microeconometric analysis of wine grape supply contracts in Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(1), pages 1-24.
    4. Moisés de Andrade Resende Filho & Brian L. Buhr, 2006. "A Principal-Agent Model For Evaluating The Economic Value Of A Beef Traceability System: A Case Study With Injection-Site Lesions Control In Fed Cattle In The Us," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 127, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Miguel Carriquiry & Bruce A. Babcock, 2007. "Reputations, Market Structure, and the Choice of Quality Assurance Systems in the Food Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 12-23.
    6. Hennessy, David A., 2007. "Informed control over inputs and extent of industrial processing," Economics Letters, Elsevier, vol. 94(3), pages 372-377, March.
    7. Jang, Ju Won & Ishdorj, Ariun & Anderson, David P. & Purevjav, Tsengeg & Dahlke, Garland, 2017. "Exploring The Existence Of Grader Bias In Beef Grading," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 49(3), pages 467-489, August.
    8. 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.
    9. Scott W. Fausti & Zhiguang Wang & Bashir A. Qasmi & Matthew A. Diersen, 2014. "Risk and marketing behavior: pricing fed cattle on a grid," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 601-612, September.
    10. Ibarburu, Maro A. & Lawrence, John D. & Busby, Darrell, 2007. "Economics of Increased Beef Grader Accuracy," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37558, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    11. Hussein, Mohamud & Martinez, Marian Garcia & Fearne, Andrew, 2013. "On The Efficiency of Management-Based Regulation: A Case Study of the UK Poultry Inspection Regime," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158856, Agricultural Economics Society.
    12. Jan Fałkowski, 2008. "Vertical coordination from the angle of farmer loyalty and access to credit. Evidence from the Polish dairy sector," Working Papers 2008-01, Faculty of Economic Sciences, University of Warsaw.
    13. Starbird, S. Andrew & Amanor-Boadu, Vincent, 2006. "Do Inspection and Traceability Provide Incentives for Food Safety?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(1), pages 1-13, 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:aaea15:205734. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.