Empirically Evaluating the Flexibility of the Johnson Family of Distributions: A Crop Insurance Application

dc.creatorLu, Yue
dc.creatorRamirez, Octavio A.
dc.creatorRejesus, Roderick M.
dc.creatorKnight, Thomas O.
dc.creatorSherrick, Bruce J.
dc.date2017-04-01T13:54:25Z
dc.date.accessioned2026-07-09T04:36:48Z
dc.descriptionThis article examines the flexibility of the Johnson system of distributions by assessing its per-formance in terms of modeling crop yields for the purpose of setting actuarially fair crop in-surance premiums. Using data from corn farms in Illinois coupled with Monte Carlo simula-tion procedures, we found that average crop insurance premiums computed on the basis of the Johnson system provide reasonably accurate estimates even when the data are normal or come from a non-normal distribution other than the Johnson system (i.e., a beta). These results sug-gest that there is potential for using the Johnson system to rate previously uninsured crops that do not have historical insurance performance data upon which to base premium calculations.
dc.identifierdoi:10.22004/ag.econ.44740
dc.identifierhttps://ageconsearch.umn.edu/record/44740/files/lu%20et%20al.%20-%20current.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/44740
dc.identifier.urihttp://hdl.handle.net/123456789/552458
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/44740
dc.titleEmpirically Evaluating the Flexibility of the Johnson Family of Distributions: A Crop Insurance Application
dc.typeText

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