EFFICIENCY CRITERIA AND RISK AVERSION: AN EMPIRICAL EVALUATION

dc.creatorWetzstein, Michael E.
dc.creatorSzmedra, Philip I.
dc.creatorMcClendon, Ronald W.
dc.creatorEdwards, David M.
dc.date2017-04-01T19:27:26Z
dc.date.accessioned2026-07-09T04:06:21Z
dc.descriptionA conceptual link among mean-variance (EV), stochastic dominance (SD), and mean-risk (ET), and Gini mean difference (EG) is established for determining risk efficient decision sets. The theoretical relations among the various efficiency criteria are then empirically demonstrated with a soybean and wheat double-crop simulation model. Empirical results associated with extended Gini mean difference (EEG) and extended mean-absolute Gini (EET) for risk analysis are encouraging.
dc.identifierdoi:10.22004/ag.econ.29716
dc.identifierhttps://ageconsearch.umn.edu/record/29716/files/20010171.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/29716
dc.identifier.urihttp://hdl.handle.net/123456789/544886
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/29716
dc.titleEFFICIENCY CRITERIA AND RISK AVERSION: AN EMPIRICAL EVALUATION
dc.typeText

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