Modeling Dependence in the Design of Whole Farm---A Copula-Based Model Approach
AbstractThe objective of this study is to evaluate and model the risks of corn and soybean production. This study focuses on the risk of revenue variability that arises from changes in prices, yields shortfalls or both. There are several models for price and yield risk factors for corn and soybeans. For instance, yield risks can be modeled by a family of Beta distributions, whereas price shocks can be modeled by log-normal distributions. In order to develop a multivariate model that preserves a given set of marginals, a copula approach can be used to characterize the joint yield and price risk of corn and soybeans, which are usually highly correlated. The copula approach has been spurred by the recent developments in the whole farm insurance (WFI), resulting in an increasing need for the modeling of multivariate risk factors and their interaction. As a part of the study, various copula models are investigated for their suitability in modeling yield and price risks. Finally, the proposed copula approach is illustrated with simulated data to calculate the premium rate of the whole farm insurance. Results show that WFI is superior to crop-specific insurance with premia 36% cheaper than the latter.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida with number 6282.
Date of creation: 2008
Date of revision:
Contact details of provider:
Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
Copula; Crop Insurance; Loss Distribution; Farm Management;
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Coble, Keith H. & Heifner, Richard G. & Zuniga, Manuel, 2000. "Implications Of Crop Yield And Revenue Insurance For Producer Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
- David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1995.
"Budgetary and Resource Allocation Effects of Revenue Assurance: Summary of Results, The,"
Center for Agricultural and Rural Development (CARD) Publications
95-bp7, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1997. "Budgetary and Producer Welfare Effects of Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1024-1034.
- David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1997. "Budgetary and Producer Welfare Effects of Revenue Insurance, The," Center for Agricultural and Rural Development (CARD) Publications 97-wp180, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Hennessy, David A. & Babcock, Bruce A. & Hayes, Dermot J., 1997. "Budgetary and Producer Welfare Effects of Revenue Insurance," Staff General Research Papers 1100, Iowa State University, Department of Economics.
- David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1995. "Budgetary and Resource Allocation Effects of Revenue Assurance," Center for Agricultural and Rural Development (CARD) Publications 95-wp130, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- 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.
- Larsen, Ryan A. & Vedenov, Dmitry V. & Leatham, David J., 2009. "Enterprise-level risk assessment of geographically diversified commercial farms: a copula approach," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46763, Southern Agricultural Economics Association.
- Larsen, Ryan A. & Leatham, David J. & Mjelde, James W. & Wolfley, Jared L., 2008. "Geographical Diversification: An Application of Copula Based CVaR," Proceedings:2008 Agricultural and Rural Finance Markets in Transition, September 25-26, 2008, Kansas City, Missouri 119533, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.