Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5728
Title: Stochastic efficiency analysis with risk aversion bounds: a simplified approach
Contributor(s): Hardaker, J Brian (author); Richardson, James W (author); Lien, Gudbrand (author); Schumann, Keith D (author)
Publication Date: 2004
DOI: 10.1111/j.1467-8489.2004.00239.x
Handle Link: https://hdl.handle.net/1959.11/5728
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.
Publication Type: Journal Article
Source of Publication: The Australian Journal of Agricultural and Resource Economics, 48(2), p. 253-270
Publisher: Wiley-Blackwell Publishing Asia
Place of Publication: Australia
ISSN: 1364-985X
1467-8489
Field of Research (FOR): 140201 Agricultural Economics
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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