IDEAS home Printed from https://ideas.repec.org/p/ags/aaea90/271048.html
   My bibliography  Save this paper

Effects of Disaster Assistance on Multiple Peril Crop Insurance Purchases by Iowa Crop Farmers

Author

Listed:
  • Edelman, Mark A.
  • Schmiesing, Brian H.
  • Khajasteh, Khosrow

Abstract

Logit regression was used to used to explain 1989 Multiple Peril Crop Insurance CMPCI) purchase decisions by Iowa crop farmers. The primary explanatory factor was whether MPCI had been purchased in 1988. Disaster payments and expectations that government would pass future disaster legislation were also found to reduce MPCI purchases.

Suggested Citation

  • Edelman, Mark A. & Schmiesing, Brian H. & Khajasteh, Khosrow, 1990. "Effects of Disaster Assistance on Multiple Peril Crop Insurance Purchases by Iowa Crop Farmers," 1990 Annual meeting, August 5-8, Vancouver, Canada 271048, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea90:271048
    DOI: 10.22004/ag.econ.271048
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/271048/files/aaea-1990-143.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/271048/files/aaea-1990-143.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.271048?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. Robert P. King & George E. Oamek, 1983. "Risk Management by Colorado Dryland Wheat Farmers and the Elimination of the Disaster Assistance Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(2), pages 247-255.
    2. Jeffery R. Williams, 1988. "A Stochastic Dominance Analysis of Tillage and Crop Insurance Practices in a Semiarid Region," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(1), pages 112-120.
    3. Jerry R. Skees & Michael R. Reed, 1986. "Rate Making for Farm-Level Crop Insurance: Implications for Adverse Selection," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 653-659.
    4. Zering, Kelly D. & McCorkle, C.O., Jr. & Moore, Charles V., 1987. "The Utility Of Multiple Peril Crop Insurance For Irrigated, Multiple-Crop Agriculture," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(1), pages 1-10, July.
    5. Leatham, David J. & McCarl, Bruce A. & Richardson, James W., 1987. "Implications of Crop Insurance for Farmers and Lenders," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 19(2), pages 113-120, December.
    6. Carl H. Nelson & Edna T. Loehman, 1987. "Further Toward a Theory of Agricultural Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(3), pages 523-531.
    7. Dismukes, Robert & Allen, P. Geoffrey & Morzuch, Bernard J., 1989. "Participation In Multiple-Peril Crop Insurance: Risk Assessments And Risk Preferences Of Cranberry Growers," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 18(2), pages 1-9, October.
    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. Black, Dawn L. & Dorfman, Jeffrey H., 2000. "Identifying Farmer Characteristics Related To Crop Insurance Purchase Decisions," 2000 Annual meeting, July 30-August 2, Tampa, FL 21831, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Ashok Mishra & Barry Goodwin, 2006. "Revenue insurance purchase decisions of farmers," Applied Economics, Taylor & Francis Journals, vol. 38(2), pages 149-159.

    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. Olivier Mahul, 1998. "Vers une redéfinition du rôle de l’assurance agricole dans la gestion des risques sur récoltes," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 49, pages 33-58.
    2. Mahul, Olivier, 1998. "Vers une redéfinition du rôle de l’assurance agricole dans la gestion des risques sur récoltes," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 49.
    3. Olivier Mahul, 1998. "Vers une redéfinition du rôle de l’assurance agricole dans la gestion des risques sur récoltes," Post-Print hal-01200910, HAL.
    4. Zhang, Li, 2008. "Three essays on agricultural risk and insurance," ISU General Staff Papers 2008010108000016857, Iowa State University, Department of Economics.
    5. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(1), pages 1-18, April.
    6. Gong, Xuche & Feng, Hongli & Hennessy, David A., 2018. "Systemic Risk, Geography and Area Insurance," 2018 Annual Meeting, August 5-7, Washington, D.C. 274479, Agricultural and Applied Economics Association.
    7. Jindřich Špička, 2010. "Asymmetric information in managing agricultural production risk," Ekonomika a Management, Prague University of Economics and Business, vol. 2010(2).
    8. 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.
    9. N. Becker, 1999. "A comparative analysis of water price support versus drought compensation scheme," Agricultural Economics, International Association of Agricultural Economists, vol. 21(1), pages 81-92, August.
    10. Glauber, Joseph W. & Harwood, Joy L. & Skees, Jerry R., 1993. "An Alternative for Reducing Federal Crop Insurance Program Losses," Agricultural Economic Reports 308267, United States Department of Agriculture, Economic Research Service.
    11. Jeffrey LaFrance & Rulon Pope & Jesse Tack, 2011. "Risk Response in Agriculture," NBER Chapters, in: The Intended and Unintended Effects of US Agricultural and Biotechnology Policies, pages 143-186, National Bureau of Economic Research, Inc.
    12. Olivier Mahul, 1997. "The design of an optimal area yield crop insurance contract," Post-Print hal-01952129, HAL.
    13. Just, Richard E. & Calvin, Linda, 1994. "An Empirical Assessment of the Public Cost of Adverse Selection in U.S. Crop Insurance," Working Papers 197807, University of Maryland, Department of Agricultural and Resource Economics.
    14. Just, Richard E. & Calvin, Linda, 1993. "An Empirical Assessment of Adverse Selection in U.S. Crop Insurance," Working Papers 197827, University of Maryland, Department of Agricultural and Resource Economics.
    15. Just, Richard E. & Calvin, Linda, 1994. "Adverse Selection in U.S. Crop Insurance: The Relationship of Farm Characteristics to Expected Indemnities," Working Papers 197808, University of Maryland, Department of Agricultural and Resource Economics.
    16. Knight, Thomas O. & Coble, Keith H., 1999. "Actuarial Effects of Unit Structure in the U.S. Actual Production History Crop Insurance Program," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(3), pages 519-535, December.
    17. Lee, Hyunok & Blank, Steven C., 2004. "A Statistical Profile of Horticultural Crop Farm Industries in California," Research Reports 11931, University of California, Davis, Giannini Foundation.
    18. Francis Tsiboe & Jesse Tack, 2022. "Utilizing Topographic and Soil Features to Improve Rating for Farm‐Level Insurance Products," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 52-69, January.
    19. Yangxuan Liu & Michael R. Langemeier & Ian M. Small & Laura Joseph & William E. Fry & Jean B. Ristaino & Amanda Saville & Benjamin M. Gramig & Paul V. Preckel, 2018. "A Risk Analysis of Precision Agriculture Technology to Manage Tomato Late Blight," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    20. Makki, Shiva S. & Somwaru, Agapi, 2002. "Asymmetric Information In Cotton Insurance Markets: Evidence From Texas," 2002 Annual meeting, July 28-31, Long Beach, CA 19827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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:aaea90:271048. 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.