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Modeling U.S. Broiler Supply Response: A Structural Time Series Approach

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  • Kapombe, Crispin M.
  • Colyer, Dale

Abstract

A structural time series model is used to estimate the supply response function for broiler production in the United States using quarterly data and a structural time series model. This model has the advantage of expressing trend and seasonal elements as stochastic components, allowing a dynamic interpretation of the results and improving the forecast capabilities of the model. The results of the estimation indicate the continued importance of feed cost to poultry production and of technology as expressed by the stochastic trend variable. However, seasonal influences appear to have become less important, since the seasonal component was not statistically significant.

Suggested Citation

  • Kapombe, Crispin M. & Colyer, Dale, 1998. "Modeling U.S. Broiler Supply Response: A Structural Time Series Approach," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(2), pages 1-11, October.
    • Handle: RePEc:ags:arerjl:31527
    DOI: 10.22004/ag.econ.31527
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    References listed on IDEAS

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    1. Satheesh V. Aradhyula & Matthew T. Holt, 1989. "Risk Behavior and Rational Expectations in the U.S. Broiler Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 892-902.
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    Cited by:

    1. Jean-Philippe Gervais & Stephen Devadoss, 2006. "Estimating bargaining strengths of Canadian chicken producers and processors using a bilateral monopoly framework," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 159-173.
    2. Anthony N. Rezitis & Konstantinos S. Stavropoulos, 2010. "Supply response and price volatility in the Greek broiler market," Agribusiness, John Wiley & Sons, Ltd., vol. 26(1), pages 25-48.

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    Livestock Production/Industries;

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