IDEAS home Printed from https://ideas.repec.org/p/ags/aaea25/361061.html
   My bibliography  Save this paper

Combing Spatial and Time Series Information to Rate Crop Insurance

Author

Listed:
  • Zhang, Yuan
  • Brorsen, B. Wade

Abstract

This study estimated crop yield distribution using Bayesian spatial-temporal models for Oklahoma hay and Iowa corn, focusing on the influence of historical data spans on model performance. Both data sets had strong spatial patterns with yields increasing from south-to-north for Iowa corn and increasing from west-to-east for Oklahoma hay. The out-of-sample fit for the spatial models did not exceed the models that ignored spatial information. For the spatial-temporal models, time spans at or near the longest available provided the best fit. When trend was modeled separately, time spans of fifteen years provided the best fit. The results show that spatial information did not serve as a substitute for long time-series of data in modeling crop yield distributions.

Suggested Citation

  • Zhang, Yuan & Brorsen, B. Wade, 2025. "Combing Spatial and Time Series Information to Rate Crop Insurance," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 361061, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea25:361061
    DOI: 10.22004/ag.econ.361061
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/361061/files/75291_94153_105300_AAEA_paper_YZ_and_BWB_2025.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.361061?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
    ---><---

    More about this item

    Keywords

    ;

    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:aaea25:361061. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.