USING NON-CONTEMPORANEOUS DATA TO SPECIFY RISK PROGRAMMING MODELS
作者： Wesley N. Musser , Bernard V. Tew , G. Scott Smith
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摘要: 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 two statistical assumptions concerning crop prices yields. Empirical examples from locations different crops illustrate various assumptions. Considerable differences in E-V efficient occur both empirical settings.
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