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Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments

Author

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  • Wiborg, Torben
  • McCarl, Bruce A.
  • Rasmussen, Svend
  • Schneider, Uwe A.

Abstract

All agricultural sector models must deal with aggregation and calibration somehow. The aggregation problem involves treating a group of producers as if they all responded in the same way as a single representative unit. The calibration problem concerns making a model reproduce as closely as possible an empirically observed set of decision maker actions. This paper shows how both calibration and aggregation are addressed through crop mix restrictions combined with marginal profit adjust-ments.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:eaae05:24567
    DOI: 10.22004/ag.econ.24567
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    References listed on IDEAS

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    1. 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.
    2. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    3. Daniel Fajardo & Bruce A. McCarl & Robert L. Thompson, 1981. "A Multicommodity Analysis of Trade Policy Effects: The Case of Nicaraguan Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 23-31.
    4. Scott A. Hamilton & Bruce A. McCarl & Richard M. Adams, 1985. "The Effect of Aggregate Response Assumptions on Environmental Impact Analyses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(2), pages 407-413.
    5. Bruce A. McCarl & Wilfred V. Candler & D. Howard Doster & Paul R. Robbins, 1977. "Experiences With Farmer Oriented Linear Programming For Crop Planning," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 25(1), pages 17-30, February.
    6. 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.
    7. 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:

    1. Zech, Konstantin M. & Schneider, Uwe A., 2019. "Technical biofuel production and GHG mitigation potentials through healthy diets in the EU," Agricultural Systems, Elsevier, vol. 168(C), pages 27-35.
    2. Maxwell Mkondiwa & Jeffrey Apland, 2022. "Inter-district food flows in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1553-1568, December.
    3. Schneider, Uwe A. & Havlík, Petr & Schmid, Erwin & Valin, Hugo & Mosnier, Aline & Obersteiner, Michael & Böttcher, Hannes & Skalský, Rastislav & Balkovic, Juraj & Sauer, Timm & Fritz, Steffen, 2011. "Impacts of population growth, economic development, and technical change on global food production and consumption," Agricultural Systems, Elsevier, vol. 104(2), pages 204-215, February.
    4. Mack, Gabriele & Ferjani, Ali & Mohring, Anke & Zimmerman, Albert & Mann, Stefan, 2015. "How did farmers act? An ex-post validation of normative and positive mathematical programming for an agent-based sector model," 2015 Conference, August 9-14, 2015, Milan, Italy 212201, International Association of Agricultural Economists.

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