IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/47256.html

Crop Revenue and Yield Insurance Demand: A Subjective Probability Approach

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/47256/files/jaae-40-03-757.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.47256?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Di Falco, Salvatore & Capitanio, Fabian & Adinolfi, Felice, 2011. "Natural Vs Financial Insurance in the Management of Weather Risk Exposure in the Italian Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114325, European Association of Agricultural Economists.
    2. Claassen, Roger & Lubowski, Ruben N. & Roberts, Michael J., 2005. "Extent, Location, and Characteristics of Land Cropped Due to Insurance Subsidies," 2005 Annual meeting, July 24-27, Providence, RI 19546, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. 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.
    4. Geoffroy Enjolras & Patrick Sentis, 2008. "The main determinants of insurance purchase. An empirical study on crop insurance policies in France," Working Papers 08-06, LAMETA, Universtiy of Montpellier, revised Apr 2008.
    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. Chen, Shu-Ling & Miranda, Mario J., 2006. "Modeling Yield Distribution In High Risk Counties: Application To Texas Upland Cotton," 2006 Annual meeting, July 23-26, Long Beach, CA 21392, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Mingyu Hu & Fujin Yi & Hong Zhou & Feier Yan, 2024. "The More the Better? Reconsidering the Welfare Effect of Crop Insurance Premium Subsidy," Agriculture, MDPI, vol. 14(11), pages 1-19, November.
    8. Dimitre NIKOLOV & Minka CHOPEVA, 2016. "Assessment Of Factors Influencing Farm Insurance In Bulgaria Through Probability Statistical Methods," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 13(1), pages 3-12.
    9. Ming Wang & Tao Ye & Peijun Shi, 2016. "Factors Affecting Farmers’ Crop Insurance Participation in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 479-492, September.
    10. Smith, Vincent H. & Glauber, Joseph W. & Dismukes, Robert, 2016. "Rent Dispersion in the US Agricultural Insurance Industry," IFPRI discussion papers 1532, International Food Policy Research Institute (IFPRI).
    11. Lubowski, Ruben N. & Bucholtz, Shawn & Claassen, Roger & Roberts, Michael J. & Cooper, Joseph C. & Gueorguieva, Anna & Johansson, Robert C., 2006. "Environmental Effects Of Agricultural Land-Use Change: The Role Of Economics And Policy," Economic Research Report 33591, United States Department of Agriculture, Economic Research Service.
    12. Sloggy, Matthew R. & Hrozencik, R. Aaron & Manning, Dale T. & Goemans, Chris G. & Claassen, Roger L., 2025. "Insurance and extraction incentives in a common pool resource: Evidence from groundwater use in the high plains," Journal of Environmental Economics and Management, Elsevier, vol. 130(C).
    13. Joshua D. Woodard & Jing Yi, 2020. "Estimation of Insurance Deductible Demand Under Endogenous Premium Rates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 477-500, June.
    14. Raja Chakir & Julien Hardelin, 2010. "Crop Insurance and Pesticides in French agriculture: an empirical analysis of multiple risks management," Working Papers hal-00753733, HAL.
    15. Ubilava, David & Barnett, Barry J. & Coble, Keith H. & Harri, Ardian, 2011. "The SURE Program and Its Interaction with Other Federal Farm Programs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(3), pages 1-19.
    16. Richard KOENIG & Marielle BRUNETTE, 2023. "Subjective barriers and determinants to crop insurance adoption," Working Papers of BETA 2023-25, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    17. Nathan D. DeLay & Cory G. Walters, 2025. "Mapping agents: A spatial economic analysis of agent location in the Federal Crop Insurance Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(4), pages 1152-1182, August.
    18. Yiling Deng & Ian A. Munn & Haibo Yao, 2021. "Attributes‐based conjoint analysis of landowner preferences for standing timber insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 421-444, December.
    19. 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.
    20. Fabio G., Santeramo & Ilaria, Russo & Emilia, Lamonaca, 2022. "Italian subsidised crop insurance: what the role of policy changes," MPRA Paper 115299, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:47256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.