Evaluation of Alternative Flexibility Restraint Procedures for Recursive Programming Models Used for Prediction

Thomas A. Miller

American Journal of Agricultural Economics, 1972, vol. 54, issue 1, 68-76

Abstract: Recursive programming models for estimating production response may be generalized from the original "recursive" formulation to a formulation that simply attempts to limit the linear programming solution to a reasonable subset. This article outlines a framework for evaluating the effect of alternative flexibility restraint procedures on the accuracy of such recursive programming models. Statistical estimates are developed for the total expected error of predictions, given a specified set of population and model characteristics. The analysis suggests that recursive programming models achieve some measure of statistical accuracy.

Date: 1972
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:54:y:1972:i:1:p:68-76.

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