IDEAS home Printed from https://ideas.repec.org/p/ags/aaea99/21699.html
   My bibliography  Save this paper

Premium Rates For Yield Guarantee And Income Protection Crop Insurance For Georgia And South Carolina Peaches

Author

Listed:
  • Miller, Stephen E.
  • Kahl, Kandice H.
  • Rathwell, P. James

Abstract

We estimate actuarially sound premium rates for individual yield guarantee and income protection crop insurance products for Georgia and South Carolina peaches. In most cases, the premium rate for an income protection product equals or exceeds the premium rate for an individual yield guarantee product for a given coverage level and average farm yield. Although the premium rates for the two products differ in a statistical sense, they do not appear to differ in an economic sense except at high coverage levels for growers with very high yields.

Suggested Citation

  • Miller, Stephen E. & Kahl, Kandice H. & Rathwell, P. James, 1999. "Premium Rates For Yield Guarantee And Income Protection Crop Insurance For Georgia And South Carolina Peaches," 1999 Annual meeting, August 8-11, Nashville, TN 21699, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea99:21699
    DOI: 10.22004/ag.econ.21699
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21699/files/sp99mi02.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.21699?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. David M. Prescott & Thanasis Stengos, 1987. "Bootstrapping Confidence Intervals: An Application to Forecasting the Supply of Pork," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 69(2), pages 266-273.
    2. James P. Houck, 1965. "The Relationship of Direct Price Flexibilities to Direct Price Elasticities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 789-792.
    3. Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
    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. Miller, Stephen E. & Kahl, Kandice H. & Rathwell, P. James, 2000. "Revenue Insurance For Georgia And South Carolina Peaches," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(1), pages 1-10, April.
    2. Zanini, Fabio C. & Irwin, Scott H. & Schnitkey, Gary D. & Sherrick, Bruce J., 2000. "Estimating Farm-Level Yield Distributions For Corn And Soybeans In Illinois," 2000 Annual meeting, July 30-August 2, Tampa, FL 21720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. 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.
    4. Mario Cunha, 2010. "Modelling the Cyclical Behaviour of Wine Production in the Douro Region Using a Time-Varying Parameters Approach," Working Papers 2010.1, International Network for Economic Research - INFER.
    5. Sean Pascoe & Peggy Schrobback & Eriko Hoshino & Robert Curtotti, 2023. "Impact of changes in imports and farmed salmon on wild-caught fish prices in Australia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 335-359.
    6. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    7. Cooper, Joseph & Delbecq, Benoît, 2014. "A multi-region approach to assessing fiscal and farm level consequences of government support for farm risk management," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(3), pages 1-23, December.
    8. Borrell, Brent, 1991. "How a change in Brazil's sugar policies would affect the world sugar market," Policy Research Working Paper Series 642, The World Bank.
    9. 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).
    10. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2012. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward-Trending Yields," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-10, December.
    11. Okunade, Albert A. & Cochran, Mark J., 1991. "Functional Forms and Farm-Level Demand for Pecans by Variety," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 23(2), pages 95-102, December.
    12. Jesse Tack & David Ubilava, 2013. "The effect of El Niño Southern Oscillation on U.S. corn production and downside risk," Climatic Change, Springer, vol. 121(4), pages 689-700, December.
    13. Vedenov, Dmitry V., 2002. "Estimating Returns Under Standard Reinsurance Agreement," 2002 Annual meeting, July 28-31, Long Beach, CA 19720, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Giancarlo Moschini & Vissa Anuradha, 1993. "Flexible Specification of Mixed Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 1-9.
    15. Yong Liu & A. Ford Ramsey, 2023. "Incorporating historical weather information in crop insurance rating," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 546-575, March.
    16. Paulson, Nicholas D. & Babcock, Bruce A., 2008. "Get a Grip: Should Area Revenue Coverage Be Offered Through the Farm Bill or as a Crop Insurance Program?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(2), pages 1-17.
    17. Park, Eunchun & Brorsen, B. Wade & Harri, Ardian, 2016. "Using Bayesian Spatial Smoothing and Extreme Value Theory to Develop Area-Yield Crop Insurance Rating," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235754, Agricultural and Applied Economics Association.
    18. Nadolnyak, Denis A. & Novak, James L. & Vedenov, Dmitry V. & Paz, Joel O. & Fraisse, Clyde W. & Hoogenboom, Gerrit, 2007. "Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34858, Southern Agricultural Economics Association.
    19. Cooper, Joseph C., 2008. "A Revenue-Based Alternative to the Counter-Cyclical Payment Program," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6197, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Richards, Timothy J. & Manfredo, Mark R., 2003. "Infrequent Shocks and Rating Revenue Insurance: A Contingent Claims Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(2), pages 1-19, August.

    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:aaea99:21699. 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.