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Which Broiler Part is the Best Part?

Author

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  • Goodwin, H.L.
  • McKenzie, Andrew M.
  • Djunaidi, Harjanto

Abstract

Predominance of production and marketing contracts in the broiler industry suggests a traditional analysis of price relationships might no longer be appropriate. In this study, markets for broiler cuts are defined as spatial. Results of a vector autoregressive regression analysis of monthly USDA data from 1987 to 2000 verify the price relationship between white meat and whole broiler prices. Price shocks in the boneless skinless breast market have a greater effect than dark meat shocks, suggesting this market is most important in price transmission. These results will assist industry participants to form more effective marketing and pricing strategies, thus adding efficiency to the market.

Suggested Citation

  • Goodwin, H.L. & McKenzie, Andrew M. & Djunaidi, Harjanto, 2003. "Which Broiler Part is the Best Part?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(3), pages 483-495, December.
    • Handle: RePEc:cup:jagaec:v:35:y:2003:i:03:p:483-495_02
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    Cited by:

    1. Babula, Ronald A. & Bessler, David A. & Reeder, John & Somwaru, Agapi, 2004. "Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Time Series Econometrics: Evaluating the U.S. Market Impacts of High Soy Meal Prices," Working Paper ID Series 15885, United States International Trade Commission, Office of Industries.
    2. Djunaidi, Harjanto, 2005. "Is The U.S. Losing Its Competitiveness in the Global Chicken Markets: A Spatial Equilibrium Analysis," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36301, Western Agricultural Economics Association.
    3. Babula, Ronald A. & Bessler, David A. & Rogowsky, Robert A., 2005. "Dynamic Economic Relationships Among U.S. Soy Product Markets: Using a Cointegrated Vector Autoregression Approach with Directed Acyclic Graphs," Working Paper ID Series 15880, United States International Trade Commission, Office of Industries.
    4. Babula, Ronald A. & Bessler, David A. & Reeder, John & Somwaru, Agapi, 2004. "Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Bernanke Structural VAR Methods: The Impacts of High Soy Meal and Soybean Prices," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(3), pages 1-24, November.
    5. Babula, Ronald A. & Newman, Douglas & Rogowsky, Robert A., 2006. "A Dynamic Model of U.S. Sugar-Related Markets: A Cointegrated Vector Autoregression Approach," Journal of Food Distribution Research, Food Distribution Research Society, vol. 37(2), pages 1-25, July.
    6. Babula, Ronald A. & Bessler, David A. & Payne, Warren S., 2004. "Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(1), pages 1-22, April.
    7. Hamm, Sandra J. & Goodwin, Harold L., Jr. & McKenzie, Andrew M., 2008. "A Comparative Assessment of the Broiler:Corn Ratio and Its Impact on Broiler Processors' Profitability," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6665, Southern Agricultural Economics Association.
    8. Babula, Ronald A. & Bessler, David A. & Payne, Warren S., 2003. "Dynamic Relationships Among Selected U.S. Commodity-Based, Value Added Markets: Applying Directed Acyclic Graphs to a Time Series Model," Working Paper ID Series 15879, United States International Trade Commission, Office of Industries.

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