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Model Validation: An Overview With Some Emphasis On Risk Models

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  • McCarl, Bruce A.
  • Nelson, A. Gene

Abstract

Model validation is a topic which has a long history in the literature This article attempts to focus much of the previous discussion upon agricultural economics models. True model validation is not possible. Nevertheless, model validation exercises improve the relevancy of models and strengthen the theoretical oasis for modelling. Procedures are given for conducting validation exercises and for dealing with models which fail such exercises. In addition. comments appear on considerations involved with the validation of risk models.
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  • McCarl, Bruce A. & Nelson, A. Gene, 1983. "Model Validation: An Overview With Some Emphasis On Risk Models," 1983: S-180 Annual Meeting, March 28-30, 1983, San Antonio, Texas 271712, Regional Research Projects > S-180: Risk Management Strategies for Agricultural Production Firms: Perspectives and Research Issues.
    • Handle: RePEc:ags:rrsr83:271712
    DOI: 10.22004/ag.econ.271712
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    2. Pannell, David J. & Kingwell, Ross S. & Schilizzi, Steven, 1996. "Debugging Mathematical Programming Models: Principles and Practical Strategies," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(01), pages 1-15, April.
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    11. Dillon, Carl R., 1992. "Microeconomic Effects Of Reduced Yield Variability Cultivars Of Soybeans And Wheat," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(1), pages 1-13, July.
    12. Graeme J. Doole & David J. Pannell, 2012. "Empirical evaluation of nonpoint pollution policies under agent heterogeneity: regulating intensive dairy production in the Waikato region of New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(1), pages 82-101, January.
    13. Boggess, William G. & Anaman, Kwabena A. & Hanson, Gregory D., 1985. "Importance, Causes, And Management Responses To Farm Risks: Evidence From Florida And Alabama," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(2), pages 1-12, December.
    14. Hertel, Thomas W. & Keeney, Roman & Valenzuela, Ernesto, 2004. "Global Analysis Of Agricultural Trade Liberalization: Assessing Model Validity," 2004 Annual meeting, August 1-4, Denver, CO 20199, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Unterschultz, James R. & Jeffrey, Scott R. & Quagrainie, Kwamena K., 2000. "Value-Adding 20 Billion By 2005: Impact At The Alberta Farm Gate," Project Report Series 24049, University of Alberta, Department of Resource Economics and Environmental Sociology.
    16. Dillon, Carl R. & Mjelde, James W. & McCarl, Bruce A., 1989. "Comments on Development and Use of Biophysical Simulation Models," Staff Paper Series 257983, Texas A&M University, Department of Agricultural Economics.
    17. McCarl, Bruce A., 1986. "Innovations In Programming Techniques For Risk Analysis," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271825, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    18. Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
    19. Quagrainie, Kwamena K. & Unterschultz, James R. & Jeffrey, Scott R., 2000. "The Impact Of Post-Farmgate Value-Adding On Western Canadian Agriculture," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36379, Western Agricultural Economics Association.

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