[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ags/aaea06/21369.html
   My bibliography  Save this paper

Producers' Yield and Yield Risk: Perceptions versus Reality and Crop Insurance Use

Author

Listed:
  • Egelkraut, Thorsten M.
  • Garcia, Philip
  • Pennings, Joost M.E.
  • Sherrick, Bruce J.
Abstract
Using survey data from 258 Illinois corn farmers, we investigate the relationship between subjective and objective yield measures and their effect on the use of crop insurance. Our findings show that producers view themselves as better than average with respect to yields and in terms of their variability, and that over- and underconfidence also influence their use of crop insurance. The effects are not symmetric, overconfidence is primarily reflected in the larger-than-average yield, while underconfidence emerges mainly in the larger-than-average variability. Crop insurance use is further affected by risk preferences and county yield variability.

Suggested Citation

  • Egelkraut, Thorsten M. & Garcia, Philip & Pennings, Joost M.E. & Sherrick, Bruce J., 2006. "Producers' Yield and Yield Risk: Perceptions versus Reality and Crop Insurance Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21369, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea06:21369
    DOI: 10.22004/ag.econ.21369
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21369/files/sp06ga02.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.21369?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
    ---><---

    References listed on IDEAS

    as
    1. LaFrance, Jeffrey T. & Shimshack, Jason & Wu, Steven Y., 2000. "Subsidized Crop Insurance And The Extensive Margin," CUDARE Working Papers 25018, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Dermot J. Hayes & Sergio H. Lence & Chuck Mason, 2003. "Could the government manage its exposure to crop reinsurance risk?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 63(2), pages 127-142, November.
    3. Bruce J. Sherrick & Fabio C. Zanini & Gary D. Schnitkey & Scott H. Irwin, 2004. "Crop Insurance Valuation under Alternative Yield Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 406-419.
    4. Olivier Mahul & Brian D. Wright, 2003. "Designing Optimal Crop Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 580-589.
    5. 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.
    6. Keith H. Coble & Thomas O. Knight & Rulon D. Pope & Jeffery R. Williams, 1996. "Modeling Farm-Level Crop Insurance Demand with Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 439-447.
    7. Pease, James W., 1992. "A Comparison Of Subjective And Historical Crop Yield Probability Distributions," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(2), pages 1-10, December.
    8. Egelkraut, Thorsten M. & Sherrick, Bruce J. & Garcia, Philip & Pennings, Joost M.E., 2006. "Farmers' Subjective Perceptions of Yield and Yield Risk," 2006 Conference, April 17-18, 2006, St. Louis, Missouri 18991, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    9. Joost M.E. Pennings & Philip Garcia, 2001. "Measuring Producers' Risk Preferences: A Global Risk-Attitude Construct," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 993-1009.
    10. Olivier Mahul & Brian Davern Wright, 2003. "Designing optimal crop revenue insurance," Post-Print hal-01954721, HAL.
    11. David A. Bessler, 1980. "Aggregated Personalistic Beliefs on Yields of Selected Crops Estimated Using ARIMA Processes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(4), pages 666-674.
    12. Shiva S. Makki & Agapi Somwaru, 2001. "Farmers' Participation in Crop Insurance Markets: Creating the Right Incentives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 662-667.
    13. 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.
    14. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    15. Richard C. Ready & Ståle Navrud & RW. Richard Dubourg, 2001. "How Do Respondents with Uncertain Willingness to Pay Answer Contingent Valuation Questions?," Land Economics, University of Wisconsin Press, vol. 77(3), pages 315-326.
    16. Patricia Champ & Richard Bishop, 2001. "Donation Payment Mechanisms and Contingent Valuation: An Empirical Study of Hypothetical Bias," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(4), pages 383-402, August.
    17. Bruce J. Sherrick & Peter J. Barry & Paul N. Ellinger & Gary D. Schnitkey, 2004. "Factors Influencing Farmers' Crop Insurance Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 103-114.
    18. Pease, James W., 1992. "A Comparison of Subjective and Historical Crop Yield Probability Distributions," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(2), pages 23-32, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anderson, John D. & Barnett, Barry J. & Coble, Keith H., 2009. "Impacts of the SURE Standing Disaster Assistance Program on Producer Risk Management and Crop Insurance Programs," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49304, Agricultural and Applied Economics Association.
    2. Riley, John Michael & Anderson, John D., 2009. "Producer Perceptions of Corn, Soybean and Cotton Price Risk," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46865, Southern Agricultural Economics Association.
    3. 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.

    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. Umarov, Alisher & Sherrick, Bruce J., 2005. "Farmers' Subjective Yield Distributions: Calibration and Implications for Crop Insurance Valuation," 2005 Annual meeting, July 24-27, Providence, RI 19396, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Heidelbach, Olaf, 2007. "Efficiency of selected risk management instruments: An empirical analysis of risk reduction in Kazakhstani crop production," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 40, number 92323.
    3. Ashok Mishra & Barry Goodwin, 2006. "Revenue insurance purchase decisions of farmers," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 149-159.
    4. 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).
    5. Clop-Gallart, M. Merce & Juarez-Rubio, Francisco, 2008. "Shape Persistence in Elicited Subjective Crop Yield Probability Density Functions," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44128, European Association of Agricultural Economists.
    6. Rogna, Marco & Schamel, Günter & Weissensteiner, Alex, 2019. "Choosing Between Hail Insurance and Anti-Hail Nets: A Simple Model and a Simulation among Apples Producers in South Tyrol," 2019: Trading for Good - Agricultural Trade in the Context of Climate Change Adaptation and Mitigation... Symposium, June 23-25, 2019, Seville, Spain 312593, International Agricultural Trade Research Consortium.
    7. 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.
    8. Fabio G Santeramo, 2019. "I Learn, You Learn, We Gain Experience in Crop Insurance Markets," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(2), pages 284-304, June.
    9. Phelippe-Guinvarc'h, Martial V. & Cordier, Jean E., 2006. "A private management strategy for the crop yield insurer: A theoretical approach and tests," Insurance: Mathematics and Economics, Elsevier, vol. 39(1), pages 35-46, August.
    10. Enjolras, Geoffroy & Sentis, P., 2008. "The Main Determinants of Insurance Purchase: An Empirical Study on Crop Insurance Policies in France," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44395, European Association of Agricultural Economists.
    11. Marco Rogna & Günter Schamel & Alex Weissensteiner, 2023. "Modelling the switch from hail insurance to antihail nets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(1), pages 118-136, January.
    12. Anderson, John D. & Barnett, Barry J. & Coble, Keith H., 2009. "Impacts of the SURE Standing Disaster Assistance Program on Producer Risk Management and Crop Insurance Programs," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49304, Agricultural and Applied Economics Association.
    13. Ghahremanzadeh, Mohammad & Mohammadrezaei, Rassul & Dashti, Ghader & Ainollahi, Moharram, 2018. "Designing a whole-farm revenue insurance for agricultural crops in Zanjan province of Iran," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(02), January.
    14. Vigani, Mauro & Khafagy, Amr & Berry, Robert, 2024. "Public spending for agricultural risk management: Land use, regional welfare and intra-subsidy substitution," Food Policy, Elsevier, vol. 123(C).
    15. Bokusheva, Raushan, 2004. "Crop insurance in transition: a qualitative and quantitative assessment of insurance products," IAMO Discussion Papers 76, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    16. Hongyun Han & Ye Jiang, 2019. "Systemic Risks of Climate Events and Households’ Participation in Mariculture Mutual Insurance: A Case Study of Shrimp Producers in Zhejiang Province," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    17. Chakir, Raja & Hardelin, Julien, 2014. "Crop Insurance and pesticide use in French agriculture: an empirical analysis," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 95(1).
    18. 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.
    19. Chunli, Wan & Dongli, Wu, 2021. "Nonparametric Estimation of Farmers’ Willingness to Accept: Implication for Calculating Crop Insurance Amount," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329428, Asian Society of Agricultural Economists (ASAE).
    20. Tor N. Tolhurst & Alan P. Ker, 2015. "On Technological Change in Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 137-158.

    More about this item

    Keywords

    Risk and Uncertainty;

    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:aaea06:21369. 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/aaeaaea.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.