IDEAS home Printed from https://ideas.repec.org/p/ags/aaea19/290741.html

Somebody's Watching Me! Impacts of the Spot Check List Program in U.S. Crop Insurance

Author

Listed:
  • Park, Sungkwol
  • Rejesus, Roderick M.
  • Zheng, Xiaoyong
  • Goodwin, Barry K.

Abstract

The “Spot Check List” (SCL) is an important tool developed to help detect and deter fraud, waste, and abuse in the U.S. crop insurance program. This article examines whether the SCL program affects the extent of crop insurance losses and provides insights into the effectiveness of this program. Using proprietary, county‐level SCL data and panel data econometric procedures (which control for both observable and unobservable confounding factors), we find evidence that counties with more producers included in the SCL tend to have better actuarial performance (i.e., lower indemnity payment amounts) after these producers are informed about their listing on the SCL. In addition, the county‐level SCL effects tend to last for a couple more years beyond the initial year these SCL producers were informed of their listing. These results indicate that the SCL procedure has a notable impact on crop insurance losses and is a valuable tool for maintaining integrity of the program.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Park, Sungkwol & Rejesus, Roderick M. & Zheng, Xiaoyong & Goodwin, Barry K., "undated". "Somebody's Watching Me! Impacts of the Spot Check List Program in U.S. Crop Insurance," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290741, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea19:290741
    DOI: 10.22004/ag.econ.290741
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/290741/files/Abstracts_19_05_14_13_18_51_34__152_7_224_13_0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.290741?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
    ---><---

    Other versions of this item:

    More about this item

    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:aaea19:290741. 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.