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A Decomposed Regression Model For Measuring Structural Changes In The Flour Milling Industry

Author

Listed:
  • Kim, C.S.
  • Hallahan, Charles B.
  • Schaible, Glenn D.
  • Leath, Mack N.

Abstract

This paper presents a decomposed Poisson regression model based on count data that evaluates the size distribution, the changing number of flour mills for each size class, and the concentration of market power, simultaneously. This model also allows us to test dominant price leadership model.

Suggested Citation

  • Kim, C.S. & Hallahan, Charles B. & Schaible, Glenn D. & Leath, Mack N., 2000. "A Decomposed Regression Model For Measuring Structural Changes In The Flour Milling Industry," 2000 Annual meeting, July 30-August 2, Tampa, FL 21834, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea00:21834
    DOI: 10.22004/ag.econ.21834
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    References listed on IDEAS

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    7. Kim, C.S. & Lin, William W. & Leath, Mack N., 1991. "The Changing Structure of the U.S. Flour Milling Industry," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 43(3), pages 1-8.
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