IDEAS home Printed from https://ideas.repec.org/a/wri/journl/v40y2017i2p90-107.html
   My bibliography  Save this article

The Power of Suggestion: Automatic Enrollment and Employee Health Insurance Coverage Take-Up Rates

Author

Listed:
  • Nour Kattih
  • Fady Mansour
  • Franklin G. Mixon, Jr.

Abstract

This study investigates the impact of automatic enrollment on employersponsored health insurance coverage take-up rates. To do so, we apply a propensity score matching technique that utilizes the Inverse Probability of Treatment Weighting method in order to balance control and treatment groups, to a large dataset provided by the Kaiser Family Foundation and Health Research Educational Trust (HRET) Survey of Employer Health Benefits that encompasses more than 3,500 companies. Our results suggest that automatic enrollment increases health insurance coverage take-up rates by 4.5 percentage points. Stated differently, our results suggest that if all eligible firms opted to use automatic enrollment, 8.7 million more individuals would retain private health insurance coverage (through their employers).

Suggested Citation

  • Nour Kattih & Fady Mansour & Franklin G. Mixon, Jr., 2021. "The Power of Suggestion: Automatic Enrollment and Employee Health Insurance Coverage Take-Up Rates," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 44(1), pages 90-107.
  • Handle: RePEc:wri:journl:v:40:y:2017:i:2:p:90-107
    as

    Download full text from publisher

    File URL: http://www.insuranceissues.org/PDFs/441KMM.pdf
    Download Restriction: no
    ---><---

    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:wri:journl:v:40:y:2017:i:2:p:90-107. 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: James Barrese (email available below). General contact details of provider: .

    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.