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Stochastic efficiency analysis with risk aversion bounds: a simplified approach

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  • J. Brian Hardaker
  • James W. Richardson
  • Gudbrand Lien
  • Keith D. Schumann

Abstract

A method of stochastic dominance analysis with respect to a function (SDRF) is described and illustrated. The method, called stochastic efficiency with respect to a function (SERF), orders a set of risky alternatives in terms of certainty equivalents for a specified range of attitudes to risk. It can be applied for conforming utility functions with risk attitudes defined by corresponding ranges of absolute, relative or partial risk aversion coefficients. Unlike conventional SDRF, SERF involves comparing each alternative with all the other alternatives simultaneously, not pairwise, and hence can produce a smaller efficient set than that found by simple pairwise SDRF over the same range of risk attitudes. Moreover, the method can be implemented in a simple spreadsheet with no special software needed. Copyright 2004 Australian Agricultural and Resource Economics Society Inc. and Blackwell Publishing Asia Pty Ltd..

Suggested Citation

  • J. Brian Hardaker & James W. Richardson & Gudbrand Lien & Keith D. Schumann, 2004. "Stochastic efficiency analysis with risk aversion bounds: a simplified approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 253-270, June.
  • Handle: RePEc:bla:ajarec:v:48:y:2004:i:2:p:253-270
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    1. McCarl, Bruce A., 1988. "Preference Among Risky Prospects Under Constant Risk Aversion," Journal of Agricultural and Applied Economics, Cambridge University Press, pages 25-34.
    2. Mintert, James R. & Blair, Joanne & Schroeder, Ted C. & Brazle, Frank, 1990. "Analysis Of Factors Affecting Cow Auction Price Differentials," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(02), December.
    3. McCarl, Bruce A., 1990. "Generalized Stochastic Dominance: An Empirical Examination," Journal of Agricultural and Applied Economics, Cambridge University Press, pages 49-55.
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