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Region and Crop Specific Models of the Demand for Federal Crop Insurance

Author

Listed:
  • Barry J. Barnett
  • Jerry R. Skees

Abstract

A specification search process is used to examine whether or not there are significant crop and region specific differences in factors that explain Federal Crop Insurance Program participation. Estimates of the price elasticity of demand for federal crop insurance are of particular importance.

Suggested Citation

  • Barry J. Barnett & Jerry R. Skees, 1995. "Region and Crop Specific Models of the Demand for Federal Crop Insurance," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 18(2), pages 47-65.
    • Handle: RePEc:wri:journl:v:18:y:1995:i:2:p:47-65
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    Cited by:

    1. 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.
    2. Franz Sinabell & Thomas Url, 2006. "Versicherungen als effizientes Mittel zur Risikotragung von Naturgefahren," WIFO Studies, WIFO, number 28181, April.
    3. Myyrä, Sami, 2016. "Latent farmer groups in yield insurance markets and implications for policy measures," 156th Seminar, October 4, 2016, Wageningen, The Netherlands 249986, European Association of Agricultural Economists.
    4. Tack, Jesse B., 2013. "The Effect of Climate on Crop Insurance Premium Rates and Producer Subsidies," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149817, Agricultural and Applied Economics Association.
    5. Manoj Athavale & Stephen M. Avila, 2011. "An Analysis of the Demand for Earthquake Insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 14(2), pages 233-246, September.
    6. Tatyana Deryugina & Barrett Kirwan, 2018. "Does The Samaritan'S Dilemma Matter? Evidence From U.S. Agriculture," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 983-1006, April.
    7. Shaik, Saleem & Coble, Keith H. & Knight, Thomas O., 2005. "Revenue Crop Insurance Demand," 2005 Annual meeting, July 24-27, Providence, RI 19319, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Akter, Sonia & Brouwer, Roy & Chowdhury, Saria & Aziz, Salina, 2008. "Determinants of Participation in a Catastrophe Insurance Programme: Empirical Evidence from a Developing Country," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 5984, Australian Agricultural and Resource Economics Society.
    9. Landry, Craig E. & Kriesel, Warren, 2000. "Modeling The Decision To Buy Flood Insurance: An Empirical Analysis For Coastal Areas," 2000 Annual meeting, July 30-August 2, Tampa, FL 21880, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Shyam Adhikari & Eric J. Belasco & Thomas O. Knight, 2010. "Spatial producer heterogeneity in crop insurance product decisions within major corn producing states," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 66-78, May.
    11. Abiodun Elijah Obayelu & V.O. Okoruwa & O.I.Y. Ajani, 2009. "Cross‐sectional analysis of food demand in the North Central, Nigeria," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 1(2), pages 173-193, January.
    12. Erwann Michel-Kerjan & Paul Raschky & Howard Kunreuther, 2015. "Corporate Demand for Insurance: New Evidence From the U.S. Terrorism and Property Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(3), pages 505-530, September.
    13. Jesse Tack & Keith Coble & Barry Barnett, 2018. "Warming temperatures will likely induce higher premium rates and government outlays for the U.S. crop insurance program," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 635-647, September.

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