IDEAS home Printed from https://ideas.repec.org/a/cup/jagaec/v49y2017i03p467-489_00.html
   My bibliography  Save this article

Exploring The Existence Of Grader Bias In Beef Grading

Author

Listed:
  • JANG, JU WON
  • ISHDORJ, ARIUN
  • ANDERSON, DAVID P.
  • PUREVJAV, TSENGEG
  • DAHLKE, GARLAND

Abstract

The U.S. Department of Agriculture (USDA) beef grading system plays an important role in marketing and promoting beef. USDA graders inspect beef carcasses and determine a quality grade within a few seconds. Although the graders are well trained, the nature of this grading process may lead to grading errors. Significant differences in the USDA graders’ “called” and “camera-graded” quality grades were observed, as well as variations in quality grades across seasons and years. Under grid pricing, producers gained financially from grades called by USDA graders rather than grades measured by cameras.

Suggested Citation

  • 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.
    • Handle: RePEc:cup:jagaec:v:49:y:2017:i:03:p:467-489_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1074070817000098/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. George Leckie & Harvey Goldstein, 2011. "Understanding Uncertainty in School League Tables," Fiscal Studies, Institute for Fiscal Studies, vol. 32(2), pages 207-224, June.
    2. 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.
    3. Lusk, Jayson L. & Marsh, Thomas L. & Schroeder, Ted C. & Fox, John A., 2001. "Wholesale Demand For Usda Quality Graded Boxed Beef And Effects Of Seasonality," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-16, 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. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    2. Ali Ardeshiri & Spring Sampson & Joffre Swait, 2019. "Seasonality Effects on Consumers Preferences Over Quality Attributes of Different Beef Products," Papers 1902.02419, arXiv.org.
    3. Schnepf, Sylke, 2018. "Unequal uptake of higher education mobility in the UK. The importance of social segregation in universities and subject areas," JRC Working Papers in Economics and Finance 2018-06, Joint Research Centre, European Commission.
    4. Luigi Biggeri & Tiziana Laureti & Federico Polidoro, 2017. "Computing Sub-national PPPs with CPI Data: An Empirical Analysis on Italian Data Using Country Product Dummy Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(1), pages 93-121, March.
    5. Lucy Prior & John Jerrim & Dave Thomson & George Leckie, 2021. "A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses, and challenges for 'Progress 8' raised by COVID-19," CEPEO Working Paper Series 21-04, UCL Centre for Education Policy and Equalising Opportunities, revised Apr 2021.
    6. Andreas Tsakiridis & Michael Wallace & James Breen & Cathal O'Donoghue & Kevin Hanrahan, 2021. "Beef quality assurance schemes: Can they improve farm economic performance?," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 451-471, July.
    7. 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.
    8. Riley, John Michael & Schroeder, Ted C. & Wheeler, Tommy L., 2005. "Valuing Fed Cattle Using Slice Shear Force Measurements," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36313, Western Agricultural Economics Association.
    9. Parcell, Joseph L., 2003. "An Empirical Analysis of the Demand for Wholesale Pork Primals: Seasonality and Structural Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-14, August.
    10. Balmann, Alfons & Kataria, Karin & Musshoff, Oliver, 2013. "Investment reluctance in supply chains: An agent-based real options approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(2A), pages 1-10.
    11. Grant, Jason & Arita, Shawn, 2017. "Sanitary and Phyto-Sanitary Measures: Assessment, Measurement, and Impact," Commissioned Papers 259417, International Agricultural Trade Research Consortium.
    12. Lucy Prior & John Jerrim & Dave Thomson & George Leckie, 2021. "A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses, and challenges for ‘Progress 8’ raised by COVID-19," DoQSS Working Papers 21-12, Quantitative Social Science - UCL Social Research Institute, University College London.
    13. 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.
    14. Juan Merlo & Philippe Wagner & Nermin Ghith & George Leckie, 2016. "An Original Stepwise Multilevel Logistic Regression Analysis of Discriminatory Accuracy: The Case of Neighbourhoods and Health," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-31, April.
    15. Schnepf, Sylke V. & Durrant, Gabriele B. & Micklewright, John, 2014. "Which Schools and Pupils Respond to Educational Achievement Surveys? A Focus on the English PISA Sample," IZA Discussion Papers 8411, Institute of Labor Economics (IZA).
    16. Leonardo Grilli & Carla Rampichini, 2015. "Specification of random effects in multilevel models: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 967-976, May.
    17. George Leckie, 2022. "A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 758-762, July.
    18. Luke, Jaime R. & Tonsor, Glynn T. & Brown, D. Scott, 2024. "Wholesale pork demand: Understanding primal-level heterogeneity," Journal of Commodity Markets, Elsevier, vol. 34(C).
    19. Crespi, John M. & Marette, Stephan, 2003. "Some Economic Implications Of Public Labeling," Journal of Food Distribution Research, Food Distribution Research Society, vol. 34(3), pages 1-12, November.
    20. Schroeder, Ted C. & Yang, Xiaolou, 2001. "Hedging Wholesale Beef Cuts," 2001 Annual Meeting, July 8-11, 2001, Logan, Utah 36091, Western Agricultural Economics Association.

    More about this item

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

    Statistics

    Access and download statistics

    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:cup:jagaec:v:49:y:2017:i:03:p:467-489_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/aae .

    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.