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Empirically Evaluating the Flexibility of the Johnson Family of Distributions: A Crop Insurance Application AgEcon
Lu, Yue; Ramirez, Octavio A.; Rejesus, Roderick M.; Knight, Thomas O.; Sherrick, Bruce J..
This 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.
Tipo: Journal Article Palavras-chave: Crop insurance; Crop yield modeling; Johnson distribution; Premium rate setting; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/44740
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