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Stochastic Dominance
An alternative to either assuming a utility function or approximating the utility maximizing behavior with mean-variance rule is
the use of efficiency criteria. One group of those efficiency criteria are known as stochastic dominance criteria. The most popular of
these criteria are first and second degree stochastic dominance along with stochastic dominance with respect to a function. In the first
case the only economic assumption required is that the decision maker prefers more to less. In the second two criteria we must assume
something about the utility function.
Lecture XVI: Overview of Stochastic Dominance PDF,PowerPoint,Slides
Anderson, Jock R., John L. Dillon, and J. Brian Hardaker. Agricultural Decision Analysis (Ames, Iowa: Iowa StateUniversity Press, 1984) Chapter 9: 281-319.
Lecture XVII: Derivation of First and Second Degree Stochastic Dominance PDF,PowerPoint,Slides
Lecture XVIII: Definitions of Increasing Risk PDF,PowerPoint,Slides
Lecture XIX: Implications of Increasing Spreads PDF, PowerPoint, Slides
Meyer, Jack. "Increasing Risk." Journal of Economic Theory 11(1975): 119-32.
Lecture XX: Generalized Stochastic Dominance with Respect to a Function PDF,PowerPoint,Slides
King, Robert P. and Lindon J. Robison. "Risk Efficiency Models." in Risk Management in Agriculture Edited by Peter J. Barry (Ames, Iowa: Iowa State University Press): 68-81.
Meyer, Jack. "Choice Among Distributions." Journal of Economic Theory 14(1977): 326-36.
Meyer, Jack. "Second Degree Stochastic Dominance with Repect to a Function." International Economic Review 18(1977): 477-87.
Moss, Charles B., Stephen A. Ford, and Mario Castejon. "Effect of Debt Position on the Choice of Marketing Strategies for Florida Orange Growers: A Risk Efficiency Approach." Southern Journal of Agricultural Economics 23(1991): 103-12.
Lecture XXI: Applications of Stochastic Dominance in Agriculture PDF,PowerPoint,Slides
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