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Validation Of Linear Programming Models

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  • McCarl, Bruce A.
  • Apland, Jeffrey

Abstract

Systematic approaches to validation of linear programming models are discussed for prescriptive and predictive applications to economic problems. Specific references are made to a general linear programming formulation, however, the approaches are applicable to mathematical programming applications in general. Detailed procedures are outlined for validating various aspects of model performance given complete or partial sets of observed, real world values of variables. Alternative evaluation criteria are presented along with procedures for correcting validation problems.

Suggested Citation

  • McCarl, Bruce A. & Apland, Jeffrey, 1986. "Validation Of Linear Programming Models," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(02), December.
  • Handle: RePEc:ags:sojoae:29773
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    References listed on IDEAS

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    1. Spreen, Thomas H., 2006. "Price Endogenous Mathematical Programming Models and Trade Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(02), August.
    2. Lars Brink & Bruce McCari, 1979. "The Adequacy of a Crop Planning Model for Determining Income, Income Change, and Crop Mix," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 27(3), pages 13-25, November.
    3. Renato G. Pieri & Karl D. Meilke & T. Gordon MacAulay, 1977. "North American-Japanese Pork Trade: An Application Of Quadratic Programming," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 25(2), pages 61-79, July.
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    Cited by:

    1. Thompson, Gary D., 1989. "Activity Specification and Input Risk Aversion in Risk Programming Models," 1989 Annual Meeting, June 9-12, 1989, Coeur d/Alene, Idaho 244852, Western Agricultural Economics Association.
    2. Serrao, Amilcar & Coelho, Luis, 2006. "The Role of area-yield crop insurance program face to the Mid-term Review of Common Agricultural Policy," 2006 Annual meeting, July 23-26, Long Beach, CA 21411, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Ford, Stephen A. & Ford, Beth Pride & Spreen, Thomas H., 1995. "Evaluation Of Alternative Risk Specifications In Farm Programming Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), April.
    4. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(2-3), September.
    5. Veysset, P. & Bebin, D. & Lherm, M., 2005. "Adaptation to Agenda 2000 (CAP reform) and optimisation of the farming system of French suckler cattle farms in the Charolais area: a model-based study," Agricultural Systems, Elsevier, vol. 83(2), pages 179-202, February.
    6. Schreinemachers, Pepijn & Berger, Thomas & Aune, Jens B., 2007. "Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach," Ecological Economics, Elsevier, vol. 64(2), pages 387-401, December.
    7. Serrao, Amilcar & Coelho, Luis, 2005. "Analysing Farmers' Decision-Making Process Face to the Mid-Term Review of the Common Agricultural Policy in the Alentejo region of Portugal," 2005 Annual meeting, July 24-27, Providence, RI 19266, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. repec:bla:jageco:v:68:y:2017:i:3:p:727-748 is not listed on IDEAS
    9. McCarl, Bruce A., 1984. "Model Validation: An Overview with some Emphasis on Risk Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 52(03), December.
    10. 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), April.
    11. Serrao, Amilcar & Coelho, Luis, 2004. "Cumulative Prospect Theory: A Study Of The Farmers' Decision Behavior In The Alentejo Dryland Region Of Portugal," 2004 Annual meeting, August 1-4, Denver, CO 20245, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. McCarl, Bruce A., 1998. "A Note On Fixing Misbehaving Mathematical Programs: Post-Optimality Procedures And Gams-Related Software," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(02), December.
    13. Veysset, P. & Lherm, M. & Bébin, D., 2010. "Energy consumption, greenhouse gas emissions and economic performance assessments in French Charolais suckler cattle farms: Model-based analysis and forecasts," Agricultural Systems, Elsevier, vol. 103(1), pages 41-50, January.
    14. Tessema, Yohannis & Asafu-Adjaye, John & Rodriguez, Daniel & Mallawaarachchi, Thilak & Shiferaw, Bekele, 2015. "A bio-economic analysis of the benefits of conservation agriculture: The case of smallholder farmers in Adami Tulu district, Ethiopia," Ecological Economics, Elsevier, vol. 120(C), pages 164-174.
    15. Nedumaran, S., 2013. "Tradeoff between Non-farm Income and on-farm conservation investments in the Semi-Arid Tropics of India," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152171, Australian Agricultural and Resource Economics Society.
    16. Bohan, A. & Shalloo, L. & Malcolm, B. & Ho, C.K.M. & Creighton, P. & Boland, T.M. & McHugh, N., 2016. "Description and validation of the Teagasc Lamb Production Model," Agricultural Systems, Elsevier, vol. 148(C), pages 124-134.
    17. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    18. Gradiz, L. & Sugimoto, A. & Ujihara, K. & Fukuhara, S. & Kahi, A.K. & Hirooka, H., 2007. "Beef cow-calf production system integrated with sugarcane production: Simulation model development and application in Japan," Agricultural Systems, Elsevier, vol. 94(3), pages 750-762, June.
    19. Schreinemachers, Pepijn & Berger, Thomas & Sirijinda, Aer & Praneetvatakul, Suwanna, 2009. "The diffusion of greenhouse agriculture in northern Thailand: Combining econometrics and agent-based modeling," 2009 Conference, August 16-22, 2009, Beijing, China 50899, International Association of Agricultural Economists.
    20. S. Nedumaran & Beleke Shiferaw & M. Bantilan & K. Palanisami & Suhas Wani, 2014. "Bioeconomic modeling of farm household decisions for ex-ante impact assessment of integrated watershed development programs in semi-arid India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(2), pages 257-286, April.
    21. Crosson, P. & O'Kiely, P. & O'Mara, F.P. & Wallace, M., 2006. "The development of a mathematical model to investigate Irish beef production systems," Agricultural Systems, Elsevier, vol. 89(2-3), pages 349-370, September.
    22. Michiel van Dijk & George Philippidis & Geert Woltjer, 2016. "Catching up with history: A methodology to validate global CGE models," FOODSECURE Technical papers 9, LEI Wageningen UR.
    23. Costa, Fernando Paim & Rehman, Tahir, 2005. "Unravelling the rationale of `overgrazing' and stocking rates in the beef production systems of Central Brazil using a bi-criteria compromise programming model," Agricultural Systems, Elsevier, vol. 83(3), pages 277-295, March.
    24. Bathgate, Andrew D. & Kingwell, Ross S. & O'Connell, Michael, 1999. "WOOL’S FUTURE in WESTERN AUSTRALIA and the R&D IMPLICATIONS: A Discussion Paper," 1999 Conference (43th), January 20-22, 1999, Christchurch, New Zealand 123761, Australian Agricultural and Resource Economics Society.
    25. Beltran, Jesusa C. & Pannell, David J. & Doole, Graeme J. & White, Benedict, 2012. "A bioeconomic model for analysis of integrated weed management strategies for annual barnyardgrass (Echinochloa crus-galli complex) in Philippine rice farming systems," Agricultural Systems, Elsevier, vol. 112(C), pages 1-10.

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