MODELING MULTIVARIATE CROP YIELD DENSITIES WITH FREQUENT EXTREME EVENTS

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dc.creatorChen, Shu-Ling
dc.creatorMiranda, Mario J.
dc.date2017-04-01T17:58:16Z
dc.date.accessioned2026-07-09T03:29:36Z
dc.descriptionMeasuring the lower tail of a crop yield distribution is important for managing agricultural production risk and rating crop insurance. Common parametric techniques encounter difficulties when attempting to model extreme yield events. We evaluate and compare alternative models based on our candidate distributions for high risk counties.
dc.identifierdoi:10.22004/ag.econ.19970
dc.identifierhttps://ageconsearch.umn.edu/record/19970/files/sp04ch12.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/19970
dc.identifier.urihttp://hdl.handle.net/123456789/533500
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/19970
dc.titleMODELING MULTIVARIATE CROP YIELD DENSITIES WITH FREQUENT EXTREME EVENTS
dc.typeText

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