IDEAS home Printed from https://ideas.repec.org/a/bla/rmgtin/v28y2025i3p398-426.html
   My bibliography  Save this article

To hire or not to hire? Underwriter staffing analysis for AMERICAN Insurance Company

Author

Listed:
  • Kevin Pan
  • Rustin Yerkes
  • Charles Carson

Abstract

This teaching case examines a critical staffing decision faced by the underwriting division of AMERICAN Insurance Company (“AMERICAN”), a multi‐line, multi‐state property and casualty (“P&C”) carrier. Following significant policy growth and recent implementation of a new core technology platform designed to enhance underwriting efficiency, Mr. Edward Lloyd, head of underwriting, must determine whether to hire additional underwriting staff. Students need to make a data‐driven recommendation to help Mr. Lloyd make a decision. The case requires students to integrate foundational knowledge of P&C insurance carrier operations with practical considerations such as training lags and productivity gains from automation. Students will perform time‐series analyses of realistic staffing and policy data using Excel to evaluate trends in policy growth and underwriting productivity. Designed for use in risk management, insurance, and business analytics courses, this case gives students hands‐on experience with data visualization, regression analysis, and strategic decision‐making integrated with insurance carrier functions.

Suggested Citation

  • Kevin Pan & Rustin Yerkes & Charles Carson, 2025. "To hire or not to hire? Underwriter staffing analysis for AMERICAN Insurance Company," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 28(3), pages 398-426, September.
    • Handle: RePEc:bla:rmgtin:v:28:y:2025:i:3:p:398-426
    DOI: 10.1111/rmir.70015
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rmir.70015
    Download Restriction: no
    File URL: https://libkey.io/10.1111/rmir.70015?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

    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:bla:rmgtin:v:28:y:2025:i:3:p:398-426. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1098-1616 .

    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.