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

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  • Thomas A. Miller

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.

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  • Thomas A. Miller, 1972. "Evaluation of Alternative Flexibility Restraint Procedures for Recursive Programming Models Used for Prediction," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(1), pages 68-76.
    • Handle: RePEc:oup:ajagec:v:54:y:1972:i:1:p:68-76.
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    File URL: http://hdl.handle.net/10.2307/1237735
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    Cited by:

    1. Oamek, George Edward, 1988. "Economic and environmental impacts of interstate water transfers in the Colorado River Basin," ISU General Staff Papers 1988010108000010705, Iowa State University, Department of Economics.
    2. Lanier, Eleanor B., 1974. "Economics of Agriculture: Reports and Publications Issued or Sponsored by USDA's Economic Research Service, July 1971-June 1972," Miscellaneous Publications 321804, United States Department of Agriculture, Economic Research Service.
    3. Colman, David R., 1983. "A Review of the Arts of Supply Response Analysis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 51(03), pages 1-30, December.
    4. Wiborg, Torben & McCarl, Bruce A. & Rasmussen, Svend & Schneider, Uwe A., 2005. "Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24567, European Association of Agricultural Economists.
    5. Wicks, John A. & Dillon, John L., 1978. "APMAA Estimates of Supply Elasticities for Australian Wool, Beef and Wheat," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 46(01), pages 1-10, April.
    6. Hall, Nigel H. & Fraser, L. & Purtill, A., 1988. "Supply Response in Broadacre Agriculture," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-14, December.
    7. Walker, Neal & Monypenny, Richard, 1976. "Linear Programming As A Tool For Agricultural Sector Analysis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 44(04), pages 1-14, December.
    8. Center for Agricultural and Rural Development, Iowa State University, 1988. "An Overview of the Structure for the National Agricultural Resource Interregional Modelling System," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270336, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Wade, James C., 1985. "Groundwater Management: An Economic Evaluation of Water Conservation Strategies in Arizona Agriculture," 1985 Annual Meeting, August 4-7, Ames, Iowa 278604, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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