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Financial and Risk Management Assistance: Decision Support for Agriculture

Published online by Cambridge University Press:  28 April 2015

Steven L. Klose  and
Joe L. Outlaw
Steven L. Klose
Affiliation:
Department of Agricultural Economics, Texas Cooperative Extension and the Texas A&M University System, College Station, TX
Joe L. Outlaw
Affiliation:
Department of Agricultural Economics, Texas Cooperative Extension and the Texas A&M University System, College Station, TX
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Abstract

The Financial and Risk Management (FARM) Assistance program created by Texas Cooperative Extension is a strategic analysis service offered to farmers and ranchers in Texas. The program serves as an example of large-scale, focused programming by extension agencies, as well as the implementation of technical stochastic simulation methods for use on the farm.

Keywords

decision informationdecision support systemextension programmingfarm level analysisoutreachsimulationQ16Q12C15D83
Type
Invited Paper Sessions
Information
Journal of Agricultural and Applied Economics , Volume 37 , Issue 2 , August 2005 , pp. 415 - 423
Copyright
Copyright © Southern Agricultural Economics Association 2005

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References

Amosson, S.H., and Waller, M.L.. “Learning to Manage Price Risk: The Master Marketer Educational System.” Got Risk? Beef Cattle Risk Management 2004 Conference Proceedings, pp. 19–25. College Station: Texas Cooperative Extension, Texas A&M University System, 2004.Google Scholar
Backus, G.B.C., Eidman, V.R., and Dijkhu, A.A.-izen. “Farm Decision Making Under Risk and Uncertainty.” Netherlands Journal of Agricultural Science 45,2(July 1997):307–28.CrossRefGoogle Scholar
Klose, S.L. “A Decision Support System for Agricultural Producers.” Ph.D. dissertation. Texas A&M University, College Station, 2001.Google Scholar
McCorkle, D.A., ed. Risk Management Education Curriculum Guide. College Station: Texas Cooperative Extension, Texas A&M University System, 1998-2005.Google Scholar
Nutt, P.C. “Context, Tactics, and the Examination of Alternatives During Strategic Decision Making.” European Journal of Operational Research 124,1 (July 2000):159–86.CrossRefGoogle Scholar
Pouliquen, L.Y.Risk Analysis in Project Appraisal. World Bank Staff Occasional Paper No. 11. Baltimore: Johns Hopkins University Press, 1970.Google Scholar
Reutlinger, S.Techniques for Project Appraisal Under Conditions of Uncertainty. World Bank Staff Occasional Paper No. 10. Baltimore: Johns Hopkins University Press, 1970.Google Scholar
Richardson, J.W., Klose, S.L., and Gray, A.W. “An Applied Procedure for Estimating and Simulating Multivariate Empirical (MVE) Probability Distributions in Farm Level Risk Assessment and Policy Analysis.” Journal of Agriculture and Applied Economics 32, 2(August 2000):299–315.CrossRefGoogle Scholar
Richardson, J.W., and Nixon, C.J.. “Description of FLIPSIM V: A General Firm Level Policy Simulation Model.” Texas Agricultural Experiment Station Bulletin 1528. College Station: Texas A&M University, 1986.Google Scholar
Richardson, J.W., and Nixon, C.J.. “The Farm Level Income and Policy Simulation Model: FLIPSIM.” Texas Agricultural Experiment Station, Department of Agricultural Economics Technical Report No. 81-2. College Station: Texas A&M University, 1981.Google Scholar