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Valuing Agricultural Insurance

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  • Robert G. Chambers

Abstract

This paper proposes a method for estimating a farmer's stochastic discount factor that is independent of his or her risk preferences, and shows that that stochastic discount factor is appropriate for calculating a farmer's willingness to pay for a crop insurance product. An empirical example illustrates how production and price data might be combined with returns data to permit econometric estimation of the stochastic discount factor, and the implications of those illustrative results are briefly discussed. Copyright 2007, Oxford University Press.

Suggested Citation

  • Robert G. Chambers, 2007. "Valuing Agricultural Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 596-606.
    • Handle: RePEc:oup:ajagec:v:89:y:2007:i:3:p:596-606
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2007.00987.x
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    Citations

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    Cited by:

    1. Robert G. Chambers & Daniel C. Voica, 2017. "“Decoupled” Farm Program Payments are Really Decoupled: The Theory," American Journal of Agricultural Economics, John Wiley & Sons, vol. 99(3), pages 773-782, April.
    2. Pigeon, Mathieu & Frahan, Bruno Henry de & Denuit, Michel, 2012. "Actuarial evaluation of the EU proposed farm income stabilisation tool," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122485, European Association of Agricultural Economists.
    3. Liu, Xuan & Duan, Jun & van Kooten, G. Cornelis, 2015. "An Evaluation of the Effects of Changes in the AgriStability Program on Producers’ Crop Activities: A Farm Modeling Approach," Working Papers 201654, University of Victoria, Resource Economics and Policy.
    4. Assa, Hirbod & Sharifi, Hossein & Lyons, Andrew, 2021. "An examination of the role of price insurance products in stimulating investment in agriculture supply chains for sustained productivity," European Journal of Operational Research, Elsevier, vol. 288(3), pages 918-934.
    5. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    6. Xuan Liu & Jun Duan & G. Cornelis van Kooten, 2018. "The impact of changes in the AgriStability program on crop activities: A farm modeling approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(3), pages 650-667, June.
    7. Kemeny, Gabor & Varga, Tibor & Fogarasi, Jozsef & Nemes, Attila, 2013. "The effects of weather risks on micro-regional agricultural insurance premiums in Hungary," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 115(1), pages 1-8, February.
    8. Daniel C. Voica & Troy G. Schmitz, 2022. "Trading risk for ambiguity: Production versus health under pesticide application," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(4), pages 1327-1342, August.
    9. Pigeon, Mathieu & Henry de Frahan, Bruno & Denuit, Michel, 2012. "Evaluation of the EU proposed Farm Income Stabilisation Tool," LIDAM Discussion Papers ISBA 2012026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.

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