IDEAS home Printed from https://ideas.repec.org/a/taf/uaajxx/v22y2018i3p426-457.html
   My bibliography  Save this article

Exploring the Optimal Design of an Employer-Sponsored Sickness-Disability Compensation Insurance Plan When Sickness Presenteeism Is Penalized

Author

Listed:
  • Colin M. Ramsay
  • Victor I. Oguledo
  • Annika Krutto

Abstract

We explore the impact of presenteeism, absenteeism, and shirking on the optimal design of an employer-sponsored sickness-disability compensation insurance plan when the employer penalizes sickness presenteeism. We assume an employee's health follows a simple multistate model with a “severely ill” sickness state. To combat absenteeism, the employer randomly verifies an employee's claim of sickness. However, to combat presenteeism, we also introduce the new concept of a presenteeism penalty whereby employees who are found to be at work in the “severely ill” sickness state are sent home and receive a penalized sick pay that is lower than the normal sick pay. Thus sick employees must decide whether to stay at home and receive a sick pay or go to work sick and run the risk of being sent home and penalized. We further assume (1) employees are risk-averse utility maximizers, (2) each employee has a strategy for staying home or working while sick that maximizes his or her lifetime expected discounted utility, and (3) an employee's strategy is unknown to the employer. The primary plan design factors that affect an employee's lifetime expected discounted utility and the employer's discounted expected accounting profits over an employee's working lifetime are the sick pay, the presenteeism penalty, and two health check probabilities. Volterra integral equations are used to derive expressions for an employee's lifetime expected discounted utility and the employer's expected discounted accounting profits over an employee's lifetime under various employee strategies. Laplace transforms are used to derive asymptotic expressions for the solutions to these integral equations. These asymptotic solutions are used to explore the impact of these factors on the optimal sickness compensation insurance plan design.

Suggested Citation

  • Colin M. Ramsay & Victor I. Oguledo & Annika Krutto, 2018. "Exploring the Optimal Design of an Employer-Sponsored Sickness-Disability Compensation Insurance Plan When Sickness Presenteeism Is Penalized," North American Actuarial Journal, Taylor & Francis Journals, vol. 22(3), pages 426-457, July.
  • Handle: RePEc:taf:uaajxx:v:22:y:2018:i:3:p:426-457
    DOI: 10.1080/10920277.2018.1435287
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10920277.2018.1435287
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10920277.2018.1435287?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:uaajxx:v:22:y:2018:i:3:p:426-457. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uaaj .

    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.