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Optimal Producer Behavior in the Presence of Area-Yield Crop Insurance

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  • Robert G. Chambers
  • John Quiggin

Abstract

Optimal producer behavior in the presence of area-yield insurance is studied. The producer's optimal production and insurance choices are characterized. The effect of the provision of area-yield insurance on production patterns is studied, and sufficient conditions for the provision of area-yield insurance to increase the riskiness of the individual producer's decisions are derived. A separation result is derived for area-yield insurance contracts and stochastic technologies. Copyright 2002, Oxford University Press.

Suggested Citation

  • Robert G. Chambers & John Quiggin, 2002. "Optimal Producer Behavior in the Presence of Area-Yield Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 320-334.
  • Handle: RePEc:oup:ajagec:v:84:y:2002:i:2:p:320-334
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    File URL: http://hdl.handle.net/10.1111/1467-8276.00300
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    Cited by:

    1. John Quiggin & Robert G. Chambers, 2006. "The state-contingent approach to production under uncertainty ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 153-169, June.
    2. Geoffroy Enjolras & Robert Kast & Patrick Sentis, 2009. "Diversification in Area-Yield Crop Insurance : The Multi Linear Additive Model," Working Papers 09-15, LAMETA, Universitiy of Montpellier, revised Nov 2009.
    3. Chambers, Robert G. & Quiggin, John C., 2004. "Technological and financial approaches to risk management in agriculture: an integrate approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), June.
    4. Robert Kast, 2011. "Managing financial risks due to natural catastrophes," Working Papers hal-00610241, HAL.
    5. Quiggin, John & Chambers, Robert G., 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
    6. Mullally, Conner & Boucher, Stephen R. & Carter, Michael R., 2010. "Perceptions and Participation: Mistaken Beliefs, Encouragement Designs, and Demand for Index Insurance," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61002, Agricultural and Applied Economics Association.
    7. Bougherara, Douadia & Piet, Laurent, 2014. "The Impact of Farmers’ Risk Preferences on the Design of an Individual Yield Crop Insurance," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183082, European Association of Agricultural Economists.
    8. Woodard, Joshua D. & Chiu Verteramo, Leslie & Miller, Alyssa P., 2015. "Adaptation of U.S. Agricultural Production to Drought and Climate Change," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205903, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    9. Quiggin, John C. & Chambers, Robert G., 2004. "Drought policy: a graphical analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), June.
    10. Steven D. Levitt & John A. List, 2009. "Can Field Experiments Return Agricultural Economics to the Glory Days?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1259-1265.
    11. Carriquiry, Miguel A. & Osgood, Daniel E., 2006. "Index Insurance, Production Practices, and Probabilistic Climate Forecasts," 2006 Annual meeting, July 23-26, Long Beach, CA 21463, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Bulut, Harun & Collins, Keith J., 2013. "Political Economy of Crop Insurance Risk Subsidies under Imperfect Information," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150577, Agricultural and Applied Economics Association.
    13. Bulut, Harun, 2016. "U.S. Farmers’ Insurance Choices under Expected Utility Theory and Cumulative Prospect Theory," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236019, Agricultural and Applied Economics Association.

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