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Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach

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  • Shaik, Saleem
  • Coble, Keith H.
  • Knight, Thomas O.
  • Baquet, Alan E.
  • Patrick, George F.

Abstract

A multinomial logit is utilized to model the choice of whether to purchase yield or revenue insurance using subjectively elicited survey data. Our results indicate that the demand for crop insurance is inelastic (-0.40), consistent with most earlier yield elasticity estimates, but the elasticity for choices between yield and revenue insurance is found to be relatively more elastic (-0.88).

Suggested Citation

  • Shaik, Saleem & Coble, Keith H. & Knight, Thomas O. & Baquet, Alan E. & Patrick, George F., 2008. "Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(3), pages 1-10, December.
    • Handle: RePEc:ags:joaaec:47256
    DOI: 10.22004/ag.econ.47256
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    1. James S. Eales & Brian K. Engel & Robert J. Hauser & Sarahelen R. Thompson, 1990. "Grain Price Expectations of Illinois Farmers and Grain Merchandisers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 701-708.
    2. Norris, Patricia E. & Kramer, Randall A., 1990. "The Elicitation of Subjective Probabilities with Applications in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(02-03), pages 1-21, December.
    3. Shaik, Saleem & Atwood, Joseph A., 2003. "Demand for Optional Units in Crop Insurance," 2003 Annual meeting, July 27-30, Montreal, Canada 21890, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Barry K. Goodwin, 1993. "An Empirical Analysis of the Demand for Multiple Peril Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 425-434.
    5. Teresa Serra & Barry K. Goodwin & Allen M. Featherstone, 2003. "Modeling changes in the U.S. demand for crop insurance during the 1990s," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 63(2), pages 109-125, November.
    6. Joseph W. Glauber, 2004. "Crop Insurance Reconsidered," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1179-1195.
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    Cited by:

    1. Adhikari, Shyam, 2015. "Optimal Coverage Level and Producer Participation in Supplemental Coverage Option in Yield and Revenue Protection Crop Insurance," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205053, Agricultural and Applied Economics Association.
    2. Sommarat Chantarat & Sirikarn Lertamphainont & Krislert Samphantharak, 2016. "Floods and Farmers: Evidence from the Field in Thailand," PIER Discussion Papers 40., Puey Ungphakorn Institute for Economic Research, revised Aug 2016.
    3. Ibrahima Sall & Russell Tronstad, 2021. "Simultaneous Analysis of Insurance Participation and Acreage Response from Subsidized Crop Insurance for Cotton," JRFM, MDPI, vol. 14(11), pages 1-20, November.
    4. Chantarat, Sommarat & Oum, Sothea & Samphantharak, Krislert & Sann, Vathana, 2019. "Natural Disasters, Preferences, and Behaviors: Evidence from the 2011 Mega Flood in Cambodia," Journal of Asian Economics, Elsevier, vol. 63(C), pages 44-74.
    5. Castañeda-Vera, Alba & Garrido, Alberto, 2017. "Evaluation of risk management tools for stabilising farm income under CAP 2014-2020," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(01), June.
    6. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    7. 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.
    8. Petrolia, Daniel R., 2016. "Risk preferences, risk perceptions, and risky food," Food Policy, Elsevier, vol. 64(C), pages 37-48.
    9. 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.
    10. Giuseppe Timpanaro & Gaetano Chinnici & Roberta Selvaggi & Giulio Cascone & Vera Teresa Foti & Alessandro Scuderi, 2023. "Farmer?s adoption of agricultural insurance for Mediterranean crops as an innovative behavior," Economia agro-alimentare, FrancoAngeli Editore, vol. 25(2), pages 155-188.
    11. Wyatt Thompson & Joe Dewbre & Patrick Westfhoff & Kateryna Schroeder & Simone Pieralli & Ignacio Perez Dominguez, 2017. "Introducing medium-and long-term productivity responses in Aglink-Cosimo," JRC Research Reports JRC105738, Joint Research Centre (Seville site).
    12. ODonoghue, Erik & Tulman, Sarah, 2016. "The Demand for Crop Insurance: Elasticity and the Effect of Yield Shocks," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235623, Agricultural and Applied Economics Association.
    13. Tiwari, Sweta & Coble, Keith & Harri, Ardian & Barnett, Barry, 2017. "Hedging the Price Risk of Crop Revenue Insurance Through the Options Market," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 253081, Southern Agricultural Economics Association.
    14. 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.
    15. KASHIWAGI Yuzuka & TODO Yasuyuki, 2022. "Trade Disruption and Risk Perception," Discussion papers 22086, Research Institute of Economy, Trade and Industry (RIETI).
    16. 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.
    17. 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.
    18. Rong Kong & Calum G. Turvey & Guangwen He & Jiujie Ma & Patrick Meagher, 2011. "Factors influencing Shaanxi and Gansu farmers' willingness to purchase weather insurance," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(4), pages 423-440, November.
    19. Daniel R. Petrolia & Craig E. Landry & Keith H. Coble, 2013. "Risk Preferences, Risk Perceptions, and Flood Insurance," Land Economics, University of Wisconsin Press, vol. 89(2), pages 227-245.
    20. 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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    More about this item

    Keywords

    Agribusiness; Crop Production/Industries; Demand and Price Analysis;
    All these keywords.

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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