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Alternative Crop Insurance Indexes

Published online by Cambridge University Press:  26 January 2015

Xiaohui Deng ,
Barry J. Barnett ,
Gerrit Hoogenboom ,
Yingzhuo Yu  and
Axel Garcia y Garcia
Xiaohui Deng
Affiliation:
Department of Agricultural Economics, California State University, Fresno, CA
Barry J. Barnett
Affiliation:
Department of Agricultural and Applied Economics, The University of Georgia, Athens, GA
Gerrit Hoogenboom
Affiliation:
Department of Biological and Agricultural Engineering, The University of Georgia
Yingzhuo Yu
Affiliation:
Department of Agricultural and Applied Economics, The University of Georgia, Athens, GA
Axel Garcia y Garcia
Affiliation:
Department of Biological and Agricultural Engineering, The University of Georgia
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Abstract

Three index-based crop insurance contracts are evaluated for representative south Georgia corn farms. The insurance contracts considered are based on indexes of historical county yields, yields predicted from a cooling degree-day production model, and yields predicted from a crop-simulation model. For some of the representative farms, the predicted yield index contracts provide yield risk protection comparable to the contract based on historical county yields, especially at lower levels of risk aversion. The impact of constraints on index insurance choice variables is considered and important interactions among constrained, conditionally optimized, choice variables are analyzed.

Keywords

area yield insurancecooling degree daysDSSATgroup risk planG13G22Q12
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 40 , Issue 1 , April 2007 , pp. 223 - 237
Copyright
Copyright © Southern Agricultural Economics Association 2008

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References

Babcock, B.A., and Hart, C.E. “Judging the Performance of the 2002 Farm Bill.” Iowa Ag Review 11,2(2005):1–3, 11.Google Scholar
Bannayan, M., Hoogenboom, G., and Crout, N.M.J. “Photothermal impact on maize performance: a simulation approach.” Ecological Modelling 180(2004):277–290.CrossRefGoogle Scholar
Barnett, B.J., Black, J.R., Hu, Y., and Skees, J.R. “Is Area Yield Insurance Competitive with Farm Yield Insurance?” Journal of Agricultural and Resource Economics 30(2005):285–301.Google Scholar
Bowman, A.W., and Foster, P.J. “Density Based Exploration of Bivariate Data.” Statistics and Computing 3(1993):171–177.CrossRefGoogle Scholar
Cao, J. “Feasibility of Weather Index Based Insurance for Protecting against Corn Yield Losses in Georgia.” thesis, M.S. The University of Georgia, 2004.Google Scholar
Chambers, R.G. “Insurability and Moral Hazard in Agricultural Insurance Markets.” American Journal of Agricultural Economics 71(1989):604–616.CrossRefGoogle Scholar
Coble, K.H., Knight, T.O., Pope, R.D., and Williams, J.R. “An Expected-Indemnity Approach to the Measurement of Moral Hazard in Crop Insurance.” American Journal of Agricultural Economics 79(1997):216–226.CrossRefGoogle Scholar
Deng, X., Barnett, B.J., and Vedenov, D.V. “Is There a Viable Market for Area-Based Crop Insurance?” American Journal of Agricultural Economics 89(2007):508–519.CrossRefGoogle Scholar
Deng, X., Barnett, B.J., Vedenov, D.V., and West, J.W. “Hedging Dairy Production Losses Using Weather-based Index Insurance.” Agricultural Economics 36(2007):271–280.CrossRefGoogle Scholar
Duchon, C.E. “Corn yield prediction using climatology.” Journal of Climate and Applied Meteorology 25(1986):581–590.2.0.CO;2>CrossRefGoogle Scholar
Greene, W.H. Econometric Analysis, 4th ed. Upper Saddle River, NJ: Prentice Hall, Inc., 2000.Google Scholar
Härdle, W. Applied Nonparametric Regression. Cambridge, MA: Cambridge University Press, 1992.Google Scholar
Hoogenboom, G., Jones, J.W., Wilkens, P.W., Porter, C.H., Batchelor, W.D., Hunt, L.A., Boote, K.J., Singh, U., Uryasev, O., Bowen, W.T., Gijsman, A.J., Toit, A. du, White, J.W., and Tsuji, G.Y. Decision Support System for Agrotechnol-ogy Transfer. Version 4.0 [CD-ROM]. Honolulu: University of Hawaii, 2004.Google Scholar
Jones, C.A., and Kiniry, J.R. CERES–Maize: A Simulation Model of Maize Growth and Development. College Station, TX: Texas A & M University Press, 1986.Google Scholar
Just, R.E., Calvin, L., and Quiggjn, J. “Adverse Selection in Crop Insurance: Actuarial and Asymmetric Information Incentives.” American Journal of Agricultural Economics 81(1999):834–849.CrossRefGoogle Scholar
Mahul, O. “Optimum Area Yield Crop Insurance.” American Journal of Agricultural Economics 81(1999):75–82.CrossRefGoogle Scholar
Martin, S.W., Barnett, B.J., and Coble, K.H., “Developing and Pricing Precipitation Insurance.” Journal of Agricultural and Resource Economics 26(2001):261–274.Google Scholar
Miranda, M.J. “Area Yield Insurance Reconsidered.” American Journal of Agricultural Economics 73(1991):233–242.CrossRefGoogle Scholar
Miranda, M.J., and Fackler, P.L. Applied Computational Economics and Finance. Cambridge, MA: The MIT Press, 2002.Google Scholar
Myers, R.J. “Econometric Testing for Risk Averse Behavior in Agriculture.” Applied Economics 21(1989):541–552.CrossRefGoogle Scholar
Parkerson, R.W. Testimony before the U.S. House of Representatives, Committee on Agriculture, Subcommittee on General Farm Commodities and Risk Management, March 15, 2006.Google Scholar
Quiggin, J., Karagiannis, G., and Stanton, J. “Crop Insurance and Crop Production: An Empirical Study of Moral Hazard and Adverse Selection.” Economics of Agricultural Crop Insurance, Hueth, D.L. and Furtran, W.H. eds. Norwell, MA: Kluwer Academic Publishers, 1994.Google Scholar
Richards, T.J., Manfredo, M.R., and Sanders, D.R. “Pricing Weather Derivatives.” American Journal of Agricultural Economics 86(2004):1005–1017.CrossRefGoogle Scholar
Ritchie, J.T., Singh, U., Godwin, D.C., and Bowen, W.T. “Cereal growth, development and yield.” Understanding Options for Agricultural Production, Tsuji, G.Y., Hoogenboom, G. and Thornton, P.K. eds. Dordrecht, The Netherlands: Kluwer Academic Publishers, 1998.Google Scholar
Román-Paoli, E., Welch, S.M., and Vanderlip, R.L. “Comparing genetic coefficient estimation methods using the CERES-Maize model.” Agricultural Systems 65(2000):29–41.CrossRefGoogle Scholar
Skees, J.R., and Barnett, B.J. “Conceptual and Practical Considerations for Sharing Catastrophic/Systemic Risks.” Review of Agricultural Economics 21(1999):424–441.Google Scholar
Skees, J.R., Black, J.R., and Barnett, B.J. “Designing and Rating an Area Yield Crop Insurance Contract.” American Journal of Agricultural Economics 79(1997):431–438.CrossRefGoogle Scholar
Smith, V.H., Chouinard, H.H., and Baquet, A.E. “Almost Ideal Area Yield Crop Insurance Contracts.” Agricultural and Resource Economics Review 23(1994):75–83.CrossRefGoogle Scholar
Smith, V.H., and Goodwin, B.K. “Crop Insurance, Moral Hazard, and Agricultural Chemical Use.” American Journal of Agricultural Economics 78(1996):428–438.CrossRefGoogle Scholar
Turvey, C.G. “Weather Derivatives for Specific Event Risks in Agriculture.” Review of Agricultural Economics 23(2001):333–352.CrossRefGoogle Scholar
Vedenov, D.V., and Barnett, B.J. “Efficiency of Weather Derivatives for Agricultural Risk Management.” Journal of Agricultural and Resource Economics 29(2004):387–403.Google Scholar
Vercammen, J.A. “Constrained Efficient Contracts or Area Yield Crop Insurance.” American Journal of Agricultural Economics 82(2000):856–864.CrossRefGoogle Scholar
Wang, H.H., Hanson, S.D., Myers, R.J., and Black, J.R. “The Effects of Crop Yield Insurance Designs on Farmer Participation and Welfare.” American Journal of Agricultural Economics 80(1998):806–820.CrossRefGoogle Scholar