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Price Dependence between Different Beef Cuts and Quality Grades: A Copula Approach at the Retail Level for the U.S. Beef Industry

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  • Panagiotou Dimitrios
  • Stavrakoudis Athanassios

    (Department of Economics, University of Ioannina, Panepistimioupoli, Ioannina 45110, Greece)

Abstract

The objective of this study is to assess the degree and the structure of price dependence between different cuts of the beef industry in the USA. This is pursued using the statistical tool of copulas. To this end, it utilizes retail monthly data of beef cuts, within and between the quality grades of Choice and Select, over the period 2000–2014. For the Choice quality grade, there was evidence of asymmetric price co-movements between all six pairs of beef cuts under consideration. No evidence of asymmetric price co-movements was found between the three pairs of beef cuts for the Select quality grade. For the pairs of beef cuts formed between the Choice and Select quality grades, the empirical results point to the existence of price asymmetry only for the case of the chuck roast cut.

Suggested Citation

  • Panagiotou Dimitrios & Stavrakoudis Athanassios, 2016. "Price Dependence between Different Beef Cuts and Quality Grades: A Copula Approach at the Retail Level for the U.S. Beef Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 14(1), pages 121-131, May.
    • Handle: RePEc:bpj:bjafio:v:14:y:2016:i:1:p:121-131:n:6
    DOI: 10.1515/jafio-2015-0001
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    1. Barry K. Goodwin & Matthew T. Holt, 1999. "Price Transmission and Asymmetric Adjustment in the U.S. Beef Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 630-637.
    2. Daniel Berg, 2009. "Copula goodness-of-fit testing: an overview and power comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 675-701.
    3. Goodwin, Barry K. & Harper, Daniel C., 2000. "Price Transmission, Threshold Behavior, And Asymmetric Adjustment In The U.S. Pork Sector," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(3), pages 1-11, December.
    4. Yan, Jun, 2007. "Enjoy the Joy of Copulas: With a Package copula," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i04).
    5. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    6. Christos J. Emmanouilides & Panos Fousekis, 2015. "Vertical price dependence structures: copula-based evidence from the beef supply chain in the USA," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 42(1), pages 77-97.
    7. Nash, John C. & Varadhan, Ravi, 2011. "Unifying Optimization Algorithms to Aid Software System Users: optimx for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i09).
    8. Nash, John C., 2014. "On Best Practice Optimization Methods in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 60(i02).
    9. Gaißer, Sandra & Ruppert, Martin & Schmid, Friedrich, 2010. "A multivariate version of Hoeffding's Phi-Square," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2571-2586, November.
    10. Genest, Christian & Rémillard, Bruno & Beaudoin, David, 2009. "Goodness-of-fit tests for copulas: A review and a power study," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 199-213, April.
    11. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    12. Dißmann, J. & Brechmann, E.C. & Czado, C. & Kurowicka, D., 2013. "Selecting and estimating regular vine copulae and application to financial returns," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 52-69.
    13. Qiu, Feng & Goodwin, Barry K., 2012. "Asymmetric Price Transmission: A Copula Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124906, Agricultural and Applied Economics Association.
    14. Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
    15. Manner, H., 2007. "Estimation and model selection of copulas with an application to exchange rates," Research Memorandum 056, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
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    Cited by:

    1. Fousekis, Panos & Grigoriadis, Vasilis, 2019. "Integration and Hierarchy of Pork Markets in the EU: An Analysis from the Vantage of Graph Theory," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    2. Panagiotou, Dimitrios & Stavrakoudis, Athanassios, 2017. "Vertical price relationships between different cuts and quality grades in the U.S. beef marketing channel: A wholesale-retail analysis," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 53-63.
    3. Fousekis, Panos & Grigoriadis, Vasilis, 2017. "Price co-movement and the crack spread in the US futures markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 57-71.
    4. Li, Hongchang & Yu, Kemei & Wang, Kun & Zhang, Anming, 2019. "Market power and its determinants in the Chinese railway industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 261-276.
    5. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.
    6. Panagiotpu, Dimitrios & Stavrakoudis, Athanassios, 2021. "Price dependence among the major EU extra virgin olive oil markets: A time scale analysis," MPRA Paper 114656, University Library of Munich, Germany, revised Jun 2022.
    7. Carlson, Mari K. & Rezitis, Anthony N., 2018. "Integration of the EU broiler meat markets – Application of Regular Vine Copulas," 2018 Annual Meeting, August 5-7, Washington, D.C. 273864, Agricultural and Applied Economics Association.

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    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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