Verification of Linear Programming Solutions, with Emphasis on Supply Implications*

C. Shumway and Hovav Talpaz

Journal of Agricultural and Applied Economics, 1977, vol. 9, issue 2, 1-8

Abstract: Linear programming (LP) models have been developed for a wide range of normative purposes in agricultural production economics. Despite their widespread application, a pervading concern among users is reliability — how well does a particular model actually describe and/or predict real world phenomena when it is so designed. Much attention has been devoted in recent years to methods for making programming models produce results more in line with those actually observed. These efforts have included development of more detail in production activities and restrictions, incorporation of flexibility constraints into recursive programming systems, specification of more realistic behavioral properties, and development of guidelines for reducing aggregation error.

Date: 1977
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Journal Article: VERIFICATION OF LINEAR PROGRAMMING SOLUTIONS, WITH EMPHASIS ON SUPPLY IMPLICATIONS (1977)
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