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Vertical Price Transmission in the US Pork Industry: Evidence from Copula Models

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  • Emmanoulides, Christos
  • Fousekis, Panos

Abstract

This paper investigates vertical price transmission in the US pork industry using the statistical tool of copulas and monthly data from 1970 to 2012. The empirical results indicate that the degree and the structure of price dependence differs across markets and time periods. In the first half of the sample, there was a relatively high degree of co-movement with symmetric tail dependence for the pair of markets farm-wholesale and asymmetric for the pair wholesale-retail. In the second half of the sample, tail dependence disappeared for both markets pairs and the association between price changes at the wholesale and the retail became very weak.

Suggested Citation

  • Emmanoulides, Christos & Fousekis, Panos, 2014. "Vertical Price Transmission in the US Pork Industry: Evidence from Copula Models," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 15(1), pages 1-12.
  • Handle: RePEc:ags:aergaa:253678
    DOI: 10.22004/ag.econ.253678
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    File URL: http://ageconsearch.umn.edu/record/253678/files/15_1_6.pdf
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    References listed on IDEAS

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    1. Reboredo, Juan C., 2011. "How do crude oil prices co-move?: A copula approach," Energy Economics, Elsevier, vol. 33(5), pages 948-955, September.
    2. 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.
    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. Jean-Philippe Gervais, 2011. "Disentangling nonlinearities in the long- and short-run price relationships: an application to the US hog/pork supply chain," Applied Economics, Taylor & Francis Journals, vol. 43(12), pages 1497-1510.
    5. Serra, Teresa & Gil, José M., 2012. "Biodiesel as a motor fuel price stabilization mechanism," Energy Policy, Elsevier, vol. 50(C), pages 689-698.
    6. Barry K. Goodwin & Nicholas E. Piggott, 2001. "Spatial Market Integration in the Presence of Threshold Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 302-317.
    7. Brechmann, Eike Christian & Schepsmeier, Ulf, 2013. "Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i03).
    8. M. Ben-Kaabia & José M. Gil, 2007. "Asymmetric price transmission in the Spanish lamb sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 34(1), pages 53-80, March.
    9. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
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    Cited by:

    1. Zhu, Drew, 2016. "The Mechanism of Giffen Behaviour," MPRA Paper 75707, University Library of Munich, Germany.

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