Stochastic Efficiency Analysis With Risk Aversion Bounds: A Simplified Approach

dc.creatorHardaker, J. Brian
dc.creatorLien, Gudbrand D.
dc.date2017-04-01T13:55:22Z
dc.date.accessioned2026-07-09T03:06:06Z
dc.descriptionA 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), partitions a set of risky alternatives in terms of certainty equivalents for a specified range of attitudes to risk. It can be applied for any utility function with risk attitudes defined by corresponding ranges of absolute, relative or partial risk aversion coefficients. SERF involves comparing each alternative with all the other alternatives simultaneously, not pairwise as with conventional SDRF. Hence it yields a subset of the efficient set found by SDRF. Moreover, the method is readily implemented in a simple spreadsheet with no special software needed.
dc.identifierdoi:10.22004/ag.econ.12954
dc.identifierhttps://ageconsearch.umn.edu/record/12954/files/wp030001.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/12954
dc.identifier.urihttp://hdl.handle.net/123456789/526511
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/12954
dc.titleStochastic Efficiency Analysis With Risk Aversion Bounds: A Simplified Approach
dc.typeText

Archivos