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Using Non-Contemporaneous Data To Specify Risk Programming Models

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  • Tew, Bernard V.
  • Musser, Wesley N.
  • Smith, G. Scott

Abstract

Specification of the variance-covariance matrix holds continuing interest for agricultural economists considering risk programming applications. This research examines alternative expected value-variance (E-V) frontiers constructed using contemporaneous and non-contemporaneous data and two statistical assumptions concerning crop prices and yields. Empirical examples from two locations for different crops illustrate the various assumptions. Considerable differences in the E-V efficient frontiers occur in both empirical settings.

Suggested Citation

  • Tew, Bernard V. & Musser, Wesley N. & Smith, G. Scott, 1988. "Using Non-Contemporaneous Data To Specify Risk Programming Models," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 17(1), April.
  • Handle: RePEc:ags:nejare:29066
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    File URL: http://purl.umn.edu/29066
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    References listed on IDEAS

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    1. Musser, Wesley N. & Tew, Bernard V., 1984. "Use Of Biophysical Simulation In Production Economics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(01), July.
    2. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
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    Keywords

    Risk and Uncertainty;

    Statistics

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