Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach

@article{Shaik2008CropRA,
  title={Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach},
  author={Saleem Shaik and Keith H. Coble and Thomas O. Knight and Alan E. Baquet and George F. Patrick},
  journal={Journal of Agricultural and Applied Economics},
  year={2008},
  volume={40},
  pages={757 - 766}
}
A multinomial logit is utilized to model the choice of whether to purchase yield or revenue insurance using subjectively elicited survey data. Our results indicate that the demand for crop insurance is inelastic (−0.40), consistent with most earlier yield elasticity estimates, but the elasticity for choices between yield and revenue insurance is found to be relatively more elastic (−0.88). 
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References

SHOWING 1-10 OF 26 REFERENCES
Adoption of crop versus revenue insurance: a farm‐level analysis
This research examines factors influencing the adoption of crop and revenue insurance. This is accomplished by estimating a multinomial logit model of insurance choices facing U.S. farmers. Results
Demand for Optional Units in Crop Insurance
This article demonstrates the importance of temporal-spatial yield, acreage and price risk apart from price in addressing the importance of optional unit provision in Federal crop insurance program.
Modeling Farm‐Level Crop Insurance Demand with Panel Data
A random-effects, binomial probit model is applied to data for a panel of Kansas wheat farms to examine Multiple Peril Crop Insurance demand. A theoretical model is developed which suggests inclusion
Region and Crop Specific Models of the Demand for Federal Crop Insurance
A specification search process is used to examine whether or not there are significant crop and region specific differences in factors that explain Federal Crop Insurance Program participation.
An Empirical Analysis of the Demand for Multiple Peril Crop Insurance
Knowledge of factors affecting farmer purchases of crop insurance is essential for evaluating the soundness and profitability of crop insurance programs. Despite this importance, the demand for crop
The Demand for Multiple Peril Crop Insurance: Evidence from Montana Wheat Farms
An econometric analysis of the demand for multiple peril crop insurance is carried out for a sample of 370 Montana wheat farms. The study is the first to model the farm's participation and
Subjective versus Objective Yield Distributions as Measures of Production Risk
Subjective probabilities of farmers with nonlinear utility are estimated from distributions elicited by applying a linear scoring rule with monetary payoffs. Estimated subjective distributions are
Modeling changes in the U.S. demand for crop insurance during the 1990s
The crop insurance purchase decision for a group of Kansas farmers is analyzed using farm‐level data from the 1990s, a period that experienced many changes in the federal crop insurance program.
Factors Influencing Farmers' Crop Insurance Decisions
Farmers' decisions to purchase crop insurance and their choices among alternative products are analyzed using a two-stage estimation procedure. The influences of risk perceptions, competing risk
Evaluation of Risk Reductions Associated with Multi-Peril Crop Insurance Products
This study evaluates the impacts on gross revenue distributions of the use of alternative crop insurance products across different coverage levels and across locations with differing yield risks.
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