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Stochastic efficiency analysis with risk aversion bounds: a simplified approach Author info | Abstract | Publisher info | Download info | Related research | Statistics J. Brian Hardaker
James W. Richardson
Gudbrand Lien
Keith D. Schumann
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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..
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Article provided by Australian Agricultural and Resource Economics Society and Blackwell Publishing Asia Pty Ltd. in its journal Australian Journal of Agricultural & Resource Economics .
Volume (Year): 48 (2004)
Issue (Month): 2 (06)
Pages: 253-270
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Handle: RePEc:bla:ajarec:v:48:y:2004:i:2:p:253-270Contact details of provider: Postal: AARES Central Office Manager, APSEG, ANU, Canberra ACT 0200 Phone: (02) 6125 6564 Email: Web page: http://www.blackwellpublishing.com/journal.asp?ref=1364-985X More information through EDIRC
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