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A Two-Stage Model Of The Demand For Specialty Crop Insurance

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  • Knox, Lyle
  • Richards, Timothy J.

Abstract

Legislators are considering raising catastrophic (CAT 50% coverage) crop insurance premiums. However, estimates of a two-stage coverage-choice and participation model using county-level data from California grape growers show that the demand for CAT insurance is price-elastic, therefore, premium increases will worsen the financial performance of the grape-insurance program.

Suggested Citation

  • Knox, Lyle & Richards, Timothy J., 1999. "A Two-Stage Model Of The Demand For Specialty Crop Insurance," 1999 Annual meeting, August 8-11, Nashville, TN 21681, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea99:21681
    DOI: 10.22004/ag.econ.21681
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    Cited by:

    1. Lee, Dong Won & Diersen, Matthew A. & Janssen, Larry & Gustafson, Cole R., 2006. "Premium Subsidy Changes and Demand for Crop Insurance," 2006 Agricultural and Rural Finance Markets in Transition, October 2-3, 2006, Washington, DC 133086, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    2. Jing Yi & Henry L. Bryant & James W. Richardson, 2020. "How do premium subsidies affect crop insurance demand at different coverage levels: the case of corn," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 5-28, January.
    3. Salazar, Cesar & Jaime, Marcela & Pinto, Cristian & Acuna, Andres, 2019. "Interaction between crop insurance and technology adoption decisions: The case of wheat farmers in Chile," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    4. Robert Aidoo & James Osei Mensah & Prosper Wie & Dadson Awunyo-vitor, 2014. "Prospects of Crop Insurance as a Risk Management Tool among Arable Crop Farmers in Ghana," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(3), pages 341-354, March.
    5. Yi, Jing & Richardson, James & Bryant, Henry, 2016. "How Do Premium Subsidies Affect Crop Insurance Demand at Different Coverage Levels: the Case of Corn," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236249, Agricultural and Applied Economics Association.
    6. Olen, Beau & Wu, Junjie, 2013. "Supply of Insurance for Specialty Crops and its Effect on Yield and Acreage," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150787, Agricultural and Applied Economics Association.
    7. Diao Panpan & Zhang Zhonggen, 2015. "Premium Rate Design and Risk Regionalization for the Policy-Based Wheat Insurance of Henan Province in China," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 9(2), pages 203-229, July.
    8. Anne Corcos & François Pannequin & Claude Montmarquette, 2017. "Leaving the market or reducing the coverage? A model-based experimental analysis of the demand for insurance," Experimental Economics, Springer;Economic Science Association, vol. 20(4), pages 836-859, December.
    9. Birthal, Pratap S. & Hazrana, Jaweriah & Negi, Digvijay S. & Mishra, Ashok K., 2022. "Assessing benefits of crop insurance vis-a-vis irrigation in Indian agriculture," Food Policy, Elsevier, vol. 112(C).
    10. M J Bhende, 2012. "Agricultural Insurance in India: Problems and Prospects," Working Papers id:4840, eSocialSciences.
    11. Mbonane, Nobuhle Duduzile, 2018. "An analysis of farmers’ preferences for crop insurance: a case of maize farmers in Swaziland," Research Theses 334771, Collaborative Masters Program in Agricultural and Applied Economics.
    12. Richards, Timothy J. & Manfredo, Mark R., 2003. "Infrequent Shocks and Rating Revenue Insurance: A Contingent Claims Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-19, August.
    13. Woodard, Joshua, 2016. "Estimation of Insurance Deductible Demand under Endogenous Premium Rates," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236151, Agricultural and Applied Economics Association.

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