IDEAS home Printed from https://ideas.repec.org/p/ags/aaea18/273879.html
   My bibliography  Save this paper

Risk Preferences and the Participation Pattern of Rainfall Index Insurance

Author

Listed:
  • Goodrich, Brittney K.
  • Yu, Jisang

Abstract

No abstract is available for this item.

Suggested Citation

  • Goodrich, Brittney K. & Yu, Jisang, 2018. "Risk Preferences and the Participation Pattern of Rainfall Index Insurance," 2018 Annual Meeting, August 5-7, Washington, D.C. 273879, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea18:273879
    DOI: 10.22004/ag.econ.273879
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273879/files/Abstracts_18_05_22_10_02_56_76__131_204_52_141_0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273879?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. Bruce A. Babcock, 2015. "Using Cumulative Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1371-1384.
    2. Petraud, Jean & Boucher, Stephen & Carter, Michael, 2015. "Competing theories of risk preferences and the demand for crop insurance: Experimental evidence from Peru," 2015 Conference, August 9-14, 2015, Milan, Italy 211383, International Association of Agricultural Economists.
    3. Daniel J. Clarke, 2016. "A Theory of Rational Demand for Index Insurance," American Economic Journal: Microeconomics, American Economic Association, vol. 8(1), pages 283-306, February.
    4. Christian Hennig & Tim F. Liao, 2013. "How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(3), pages 309-369, May.
    5. Richard E. Just & Linda Calvin & John Quiggin, 1999. "Adverse Selection in Crop Insurance: Actuarial and Asymmetric Information Incentives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 834-849.
    6. Babcock, Bruce, 2015. "Using Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," 2015 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2015, Boston, Massachusetts 189682, Agricultural and Applied Economics Association.
    7. Elabed, Ghada & Carter, Michael R., 2015. "Compound-risk aversion, ambiguity and the willingness to pay for microinsurance," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 150-166.
    8. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-430, June.
    9. 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.
    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. Brittney Goodrich & Jisang Yu & Monte Vandeveer, 2020. "Participation patterns of the rainfall index insurance for pasture, rangeland and forage programme," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 29-51, January.
    2. Hongli Feng & Xiaodong Du & David A. Hennessy, 2020. "Depressed demand for crop insurance contracts, and a rationale based on third generation Prospect Theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 59-73, January.
    3. Sarah Janzen & Nicholas Magnan & Conner Mullally & Soye Shin & I. Bailey Palmer & Judith Oduol & Karl Hughes, 2021. "Can Experiential Games and Improved Risk Coverage Raise Demand for Index Insurance? Evidence from Kenya," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 338-361, January.
    4. Kelly A. Davidson & Brittney K. Goodrich, 2023. "Nudge to insure: Can informational nudges change enrollment decisions in pasture, rangeland, and forage rainfall index insurance?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 534-554, March.
    5. Che, Yuyuan & Feng, Hongli & Hennessy, David A., 2017. "The Geography and Psychology of Participation in U.S. Federal Crop Insurance Programs," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259190, Agricultural and Applied Economics Association.
    6. Stigler, Matthieu M. & Lobell, David, 2020. "Suitability of index insurance: new insights from satellite data," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304663, Agricultural and Applied Economics Association.
    7. Matthieu Stigler & David Lobell, 2020. "On the benefits of index insurance in US agriculture: a large-scale analysis using satellite data," Papers 2011.12544, arXiv.org, revised Nov 2021.
    8. Davidson, Kelly A. & Goodrich, Brittney K., 2020. "Nudge to Insure: Can Informational Nudges Increase Enrollment in Pasture, Rangeland and Forage Rainfall Index Insurance?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304550, Agricultural and Applied Economics Association.
    9. Jisang Yu & Daniel A. Sumner, 2018. "Effects of subsidized crop insurance on crop choices," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 533-545, July.
    10. Gómez-Limón, José A. & Granado-Díaz, Rubén, 2023. "Assessing the demand for hydrological drought insurance in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 276(C).
    11. Shin, Soye & Magnan, Nicholas & Mullally, Conner & Janzen, Sarah, 2022. "Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 82-104.
    12. Eric Le Fur & J. François Outreville, 2021. "Real Options and Reduction of Basic Risk of Index‐Based Climate Agricultural Insurance," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1658-1671, December.
    13. 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.
    14. Nathan D. DeLay & Brady Brewer & Allen Featherstone & David Boussios, 2023. "The impact of crop insurance on farm financial outcomes," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 579-601, March.
    15. Xiaodong Du & Hongli Feng & David A. Hennessy, 2017. "Rationality of Choices in Subsidized Crop Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 732-756.
    16. Bulut, Harun, 2016. "U.S. Farmers’ Insurance Choices under Expected Utility Theory and Cumulative Prospect Theory," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236019, Agricultural and Applied Economics Association.
    17. 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.
    18. Bontemps, Christophe & Bougherara, Douadia & Nauges, Céline, 2020. "Do Risk Preferences Really Matter? The Case of Pesticide Use in Agriculture," TSE Working Papers 20-1095, Toulouse School of Economics (TSE).
    19. Ranjan Kumar Ghosh & Shweta Gupta & Vartika Singh & Patrick S. Ward, 2021. "Demand for Crop Insurance in Developing Countries: New Evidence from India," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 293-320, February.
    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

    Food and Agricultural Policy Analysis; Risk and Uncertainty; Ag Finance and Farm Management;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaea18:273879. 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.