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Inverse Demand Relationships For Wheat Food Use By Class

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  • Marsh, Thomas L.
  • Featherstone, Allen M.

Abstract

A normalized quadratic input distance system is applied to estimate inverse demand relationships for wheat by class. Semi-nonparametric and Bayesian estimators are used to impose curvature on inputs and outputs. Price flexibilities are estimated for hard red winter, hard red spring, soft red wheat, soft white winter, and durum wheat. Durum wheat is found to be the most price flexible. Economically and statistically important differences in price formation across classes of wheat are found and are supportive of government programs differentiating wheat by class.

Suggested Citation

  • Marsh, Thomas L. & Featherstone, Allen M., 2003. "Inverse Demand Relationships For Wheat Food Use By Class," 2003 Annual meeting, July 27-30, Montreal, Canada 22001, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:22001
    DOI: 10.22004/ag.econ.22001
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Caiping & Marsh, Thomas L., 2006. "Impacts of Gluten Imports on U.S. Food Wheat Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21283, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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    Demand and Price Analysis;

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