Risk modeling concepts relating to the design and rating of agricultural insurance contracts
The authors identify the key issues and concerns that arise in the design and rating of crop yield insurance plans, with a particular emphasis on production risk modeling. The authors show how the availability of data shapes the insurance scheme and the ratemaking procedures. Relying on the U.S. experience and recent developments in statistics and econometrics, they review risk modeling concepts and provide technical guidelines in the development of crop insurance plans. Finally, they show how these risk modeling techniques can be extended to price risk in order to develop crop revenue insurance schemes.
|Date of creation:||01 Sep 2004|
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- Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
- Olivier Mahul, 2003. "Hedging price risk in the presence of crop yield and revenue insurance," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(2), pages 217-239, June.
- Alan P. Ker & Keith Coble, 2003. "Modeling Conditional Yield Densities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 291-304.
- Bruce A. Babcock & Chad E. Hart & Dermot J. Hayes, 2002. "Crop Insurance Rates and the Laws of Probability," Center for Agricultural and Rural Development (CARD) Publications 02-wp298, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Mahul, Olivier & Wright, Brian D., 2000.
"Designing Optimal Crop Revenue Insurance,"
2000 Annual meeting, July 30-August 2, Tampa, FL
21729, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Alan P. Ker & Barry K. Goodwin, 2000. "Nonparametric Estimation of Crop Insurance Rates Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 463-478.
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