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Aggregation In Mathematical Programming Sector Models And Model Stability

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  • Onal, Hayri
  • McCarl, Bruce A.

Abstract

This paper discusses the accuracy and stability of an aggregation procedure based on extreme point generation. Numerical results obtained from an empirical model show that the aggregation procedure is highly satisfactory in tenns of aggregation errors and the aggregate model is very stable under objective function parameter changes.

Suggested Citation

  • Onal, Hayri & McCarl, Bruce A., 1991. "Aggregation In Mathematical Programming Sector Models And Model Stability," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271241, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea91:271241
    DOI: 10.22004/ag.econ.271241
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    References listed on IDEAS

    as
    1. Quirino Paris & Gordon C. Rausser, 1973. "Sufficient Conditions for Aggregation of Linear Programming Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(4_Part_1), pages 659-666.
    2. Alvin C. Egbert & Hyung M. Kim, 1975. "Analysis of Aggregation Errors in Linear Programming Planning Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(2), pages 292-301.
    3. Onal, Hayri & McCarl, Bruce A, 1989. "Aggregation of Heterogeneous Firms in Mathematical Programming Models," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 16(4), pages 499-513.
    4. John O.S. Kennedy, 1975. "Using Regression Analysis To Reduce Aggregation Bias In Linear Programming Supply Models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 19(1), pages 1-11, April.
    5. Bruce A. McCarl & Thomas H. Spreen, 1980. "Price Endogenous Mathematical Programming As a Tool for Sector Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(1), pages 87-102.
    6. Quirino Paris, 1980. "Perfect Aggregation and Disaggregation of Complementarity Problems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(4), pages 681-688.
    7. Seamus J. Sheehy & R. H. McAlexander, 1965. "Selection of Representative Benchmark Farms for Supply Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 681-695.
    8. George E. Frick & Richard A. Andrews, 1965. "Aggregation Bias and Four Methods of Summing Farm Supply Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 696-700.
    9. Bruce A. McCarl, 1982. "Cropping Activities in Agricultural Sector Models: A Methodological Proposal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(4), pages 768-772.
    10. Richard H. Day, 1963. "On Aggregating Linear Programming Models of Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(4), pages 797-813.
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    Cited by:

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