Data/hora: 11/06/2024 04:49:25

Provedor de dados: 	31	
País: 	United States	
Título: 	Empirically Evaluating the Flexibility of the Johnson Family of Distributions: A Crop Insurance Application	
Autores: 	Lu,   Yue; Ramirez,   Octavio A.; Rejesus,   Roderick M.; Knight,   Thomas O.; Sherrick,   Bruce J.	
Data: 	2008-11-11	
Ano: 	2008	
Palavras-chave: 	Crop insurance; Crop yield modeling; Johnson distribution; Premium rate setting; Risk and Uncertainty.	
Resumo: 	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	
Idioma: 	Inglês	
Identificador: 	http://purl.umn.edu/44740	
Relação: 	Agricultural and Resource Economics Review&gt;Volume 37, Number 1, April 2008	
Formato: 	13