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A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System

Author

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  • Sulgham, Anil K.
  • Zapata, Hector O.

Abstract

The paper conducts an empirical investigation of the US meat demand system using quarterly data on per capita meat consumption and prices. SUR maximum likelihood is used to estimate a static and dynamic (error correction) linear almost ideal demand systems. Results compare static and dynamic model elasticities.

Suggested Citation

  • Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeaso:35441
    DOI: 10.22004/ag.econ.35441
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    References listed on IDEAS

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    Cited by:

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    3. Anders, Sven M. & Moeser, Anke, 2008. "Using Retail Scanner Data to Assess the Demand for Value-based Ground Meat Products in Canada," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44154, European Association of Agricultural Economists.

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