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Using Non-Contemporaneous Data to Specify Risk Programming Models

Published online by Cambridge University Press:  10 May 2017

Bernard V. Tew
Affiliation:
Department of Agricultural Economics and Department of Finance, University of Kentucky
Wesley N. Musser
Affiliation:
Department of Agricultural Economics and Rural Sociology, Pennsylvania State University
G. Scott Smith
Affiliation:
Department of Agricultural Economics, University of Georgia
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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.

Type
Articles
Copyright
Copyright © 1988 Northeastern Agricultural and Resource Economics Association 

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Footnotes

The authors would like to express their appreciation to Jerry R. Skees for his help in compiling data for the Kentucky sample.

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