HOW ARE CROP YIELDS DISTRIBUTED?

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dc.creatorNorwood, F. Bailey
dc.creatorRoberts, Matthew C.
dc.creatorLusk, Jayson L.
dc.date2017-04-01T19:28:17Z
dc.date.accessioned2026-07-09T03:28:48Z
dc.descriptionSix popular crop yield distributions are compared to determine which best describes yield fluctuations out-of-sample. For 183 crop and county combinations, each distribution is estimated and ranked according to its log-likelihood function observed at out-of-sample observations. A semiparametric model dominates the contest for most crops and counties, likely due to its flexibility and treatment of heteroskedasticity. Most other models ranked lower because their variance equation performed poorly out-of-sample.
dc.identifierdoi:10.22004/ag.econ.19733
dc.identifierhttps://ageconsearch.umn.edu/record/19733/files/sp02no02.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/19733
dc.identifier.urihttp://hdl.handle.net/123456789/533263
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/19733
dc.titleHOW ARE CROP YIELDS DISTRIBUTED?
dc.typeText

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University of Minnesota