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Price asymmetry between different pork cuts in the USA: a copula approach

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  • Panagiotou, Dimitrios
  • Stavrakoudis, Athanassios

Abstract

The objective of this study is to assess the degree and the structure of price dependence between different cuts in the US pork industry at the retail level. To this end, it utilizes monthly retail data of pork cuts and the statistical tool of copulas. The empirical results suggest that for all pairs, retail prices are not likely neither to boom nor to crash together, even though overall dependence is quite considerable for two of the three pairs considered in this study. No evidence of asymmetric price co-movements was found.

Suggested Citation

  • Panagiotou, Dimitrios & Stavrakoudis, Athanassios, 2015. "Price asymmetry between different pork cuts in the USA: a copula approach," MPRA Paper 65448, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:65448
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    References listed on IDEAS

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    1. Serra, Teresa & Gil, José M., 2012. "Biodiesel as a motor fuel price stabilization mechanism," Energy Policy, Elsevier, vol. 50(C), pages 689-698.
    2. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    3. Aloui, Riadh & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2013. "A time-varying copula approach to oil and stock market dependence: The case of transition economies," Energy Economics, Elsevier, vol. 39(C), pages 208-221.
    4. 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.
    5. 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).
    6. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    7. Milton S. Boyd & B. Wade Brorsen, 1988. "Price Asymmetry in the U.S. Pork Marketing Channel," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(1), pages 103-109.
    8. 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.
    9. Patton, Andrew J., 2012. "A review of copula models for economic time series," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 4-18.
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    Cited by:

    1. GRIGORIADIS, Vasilis & EMMANOUILIDES, Christos & FOUSEKIS, Panos, 2016. "The Integration Of Pigmeat Markets In The Eu. Evidence From A Regular Mixed Vine Copula," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(1), pages 1-10, March.
    2. Fabian Capitanio & Giorgia Rivieccio & Felice Adinolfi, 2020. "Food Price Volatility and Asymmetries in Rural Areas of South Mediterranean Countries: A Copula-Based GARCH Model," IJERPH, MDPI, vol. 17(16), pages 1-14, August.
    3. Yaman, Firat & Offiaeli, Kingsley, 2022. "Is the price elasticity of demand asymmetric? Evidence from public transport demand," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 318-335.
    4. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence between coffee qualities: a copula model to evaluate asymmetric responses," MPRA Paper 75994, University Library of Munich, Germany.
    5. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "Price dependence and asymmetric responses between coffee varieties," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.

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    More about this item

    Keywords

    Price asymmetry; Pork cuts; Copula;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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