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An Applied Procedure For Estimating And Simulating Multivariate Empirical (Mve) Probability Distributions In Farm-Level Risk Assessment And Policy Analysis

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  • Richardson, James W.
  • Klose, Steven L.
  • Gray, Allan W.

Abstract

Simulation as an analytical tool continues to gain popularity in industry, government, and academics. For agricultural economists, the popularity is driven by an increased interest in risk management tools and decision aids on the part of farmers, agribusinesses, and policy makers. Much of the recent interest in risk analysis in agriculture comes from changes in the farm program that ushered in an era of increased uncertainty. With increased planting flexibility and an abundance of insurance and marketing alternatives farmers face the daunting task of sorting out many options in managing the increased risk they face. Like farmers, decision makers throughout the food and fiber industry are seeking ways to understand and manage the increasingly uncertain environment in which they operate. The unique abilities of simulation as a tool in evaluating and presenting risky alternatives together with an expected increase in commodity price risk, as projected by Ray, et al., will likely accelerate the interest in simulation for years to come.
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Suggested Citation

  • Richardson, James W. & Klose, Steven L. & Gray, Allan W., 2000. "An Applied Procedure For Estimating And Simulating Multivariate Empirical (Mve) Probability Distributions In Farm-Level Risk Assessment And Policy Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(2), pages 1-17, August.
    • Handle: RePEc:ags:joaaec:15490
    DOI: 10.22004/ag.econ.15490
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    References listed on IDEAS

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    1. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, November.
    2. Ray, Daryll E. & Richardson, James W. & Torre Ugarte, Daniel de la & Tiller, Kelly, 1998. "Estimating Price Variability In Agriculture: Implications For Decision Makers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(1), pages 1-13, July.
    3. King, Robert P. & Black, J. Roy & Benson, Fred J. & Pavkov, Patti A., 1988. "The Agricultural Risk Management Simulator Microcomputer Program," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-7, December.
    4. repec:ags:joaaec:v:30:y:1998:i:1:p:21-33 is not listed on IDEAS
    5. C. Robert Taylor, 1990. "Two Practical Procedures for Estimating Multivariate Nonnormal Probability Density Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 210-217.
    6. King, Robert P., 1979. "Operational Techniques for Applied Decision Analysis Under Uncertainty," AAEA Fellows - Dissertations and Theses, Agricultural and Applied Economics Association, number 181951, December.
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