This article considers alternative methods to calculate the fair premium rate of crop insurance contracts based on county yields. The premium rate was calculated using parametric and nonparametric approaches to estimate the conditional agricultural yield density. These methods were applied to a data set of county yield provided by the Statistical and Geography Brazilian Institute (IBGE), for the period of 1990 through 2002, for soybean, corn and wheat, in the State of Paran. In this article, we propose methodological alternatives to pricing crop insurance contracts resulting in more accurate premium rates in a situation of limited data
This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This ...
Crop insurance is plagued by relatively little historical information but significant spatial inform...
Given the increasing interest in agricultural risk, many have sought improved methods to characteriz...
This article considers alternative methods to calculate the fair premium rate of crop insurance cont...
In crop insurance design, the yield guarantee and the premium are very important parameters, both of...
This article presents a statistical model of agricultural yield data based on a set of hierarchical ...
The identification of improved methods for characterizing crop yield densities has experienced a rec...
This article focuses on the modeling of agricultural yield data using hierarchical Bayesian models. ...
The pricing of crop insurance products hinges crucially on the accurate estimation of the underlying...
this document for non-commercial purposes by any means, provided that this copyright notice appears ...
The identification of improved methods for characterizing crop yield densities has experienced a rec...
Normal, gamma and beta distributions are applied to 609 crop yield histories of Ontario farmers to d...
Modeling crop yield distributions has been an important topic in agricultural production and risk an...
Insurance rates for crop yield protection programs have traditionally been calcu lated from county a...
This research examined the appropriateness of a 2-parameter model for crop insurance premium ratemak...
This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This ...
Crop insurance is plagued by relatively little historical information but significant spatial inform...
Given the increasing interest in agricultural risk, many have sought improved methods to characteriz...
This article considers alternative methods to calculate the fair premium rate of crop insurance cont...
In crop insurance design, the yield guarantee and the premium are very important parameters, both of...
This article presents a statistical model of agricultural yield data based on a set of hierarchical ...
The identification of improved methods for characterizing crop yield densities has experienced a rec...
This article focuses on the modeling of agricultural yield data using hierarchical Bayesian models. ...
The pricing of crop insurance products hinges crucially on the accurate estimation of the underlying...
this document for non-commercial purposes by any means, provided that this copyright notice appears ...
The identification of improved methods for characterizing crop yield densities has experienced a rec...
Normal, gamma and beta distributions are applied to 609 crop yield histories of Ontario farmers to d...
Modeling crop yield distributions has been an important topic in agricultural production and risk an...
Insurance rates for crop yield protection programs have traditionally been calcu lated from county a...
This research examined the appropriateness of a 2-parameter model for crop insurance premium ratemak...
This paper applies Hierarchical Bayesian Models to price farm-level yield insurance contracts. This ...
Crop insurance is plagued by relatively little historical information but significant spatial inform...
Given the increasing interest in agricultural risk, many have sought improved methods to characteriz...