PROGRAMMING FOR EFFICIENT PLANNING AGAINST NON-NORMAL RISK

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dc.creatorAnderson, Jock R.
dc.date2017-04-01T13:56:27Z
dc.date.accessioned2026-07-09T03:40:09Z
dc.descriptionA planning methodology is developed based on Monte Carlo sampling of plans and sorting out inefficient plans according to the rules of stochastic dominance. Illustrations and methodological comparison are made in a context of farm planning under risk, and an application in income stabilization research is indicated.
dc.identifierdoi:10.22004/ag.econ.22556
dc.identifierhttps://ageconsearch.umn.edu/record/22556/files/19020094.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/22556
dc.identifier.urihttp://hdl.handle.net/123456789/537952
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/22556
dc.titlePROGRAMMING FOR EFFICIENT PLANNING AGAINST NON-NORMAL RISK
dc.typeText

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