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Stochastic Dynamic Modeling: An Aid To Agricultural Lender Decision Making


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  • Gustafson, Cole R.


Factors affecting a lenderÂ’s decision to grant farmers operating credit in North Dakota are quantified in an intertemporal loan profitability model using stochastic dynamic programming. Experimental data obtained from a panel of lenders demonstrates the sensitivity of an optimal policy to changes in a lenderÂ’s discount rate, a borrowerÂ’s repayment status, and patronage. The value of credit scoring models that appraise a borrowerÂ’s credit worthiness also is determined.

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Bibliographic Info

Article provided by Western Agricultural Economics Association in its journal Western Journal of Agricultural Economics.

Volume (Year): 14 (1989)
Issue (Month): 01 (July)

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Handle: RePEc:ags:wjagec:32463

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Keywords: Agricultural Finance;


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  1. Gustafson, Cole R. & Barry, Peter J. & Sonka, Steven T., 1988. "Machinery Investment Decisions: A Simulated Analysis For Cash Grain Farms," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(02), December.
  2. Simon, Herbert A., 1984. "On the behavioral and rational foundations of economic dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 5(1), pages 35-55, March.
  3. Saxowsky, David M. & Gustafson, Cole R. & Ali, Mir B. & Braaten, Joan M. & Rotering, Jeff, 1987. "Economic Impact of North Dakota Laws that Permit Delayed or Partial Repayment of Agricultural Debt � July 1, 1986," Agricultural Economics Reports 23462, North Dakota State University, Department of Agribusiness and Applied Economics.
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Cited by:
  1. Mjelde, James W. & Harris, Wesley D. & Conner, J. Richard & Schnitkey, Gary D. & Glover, Michael K. & Garoian, Lee, 1992. "Existence Of Unique Limiting Probability Vectors In Stochastic Processes With Multiple Transition Matrices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(02), December.


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