IDEAS home Printed from https://ideas.repec.org/p/red/sed016/515.html
   My bibliography  Save this paper

Accounting for Low Take-up Rates and High Rejection Rates in the U.S. Long-Term Care Insurance Market

Author

Listed:
  • Tatyana Koreshkova

    (Concordia University)

  • Karen Kopecky

    (Federal Reserve Bank of Atlanta)

  • R. Anton Braun

    (Federal Reserve Bank of Atlanta)

Abstract

A protracted stay in a nursing home towards the end of life is one of the biggest risks faced by individuals. The annual cost of a nursing home stay in 2010 was $84,000. At age of 50, the probability of a nursing home stay ranges from 50 to 59 percent and among those who have a stay, 20 percent spend more 3 years. Yet, only about 10 percent of U.S. retirees purchase private long-term-care (LTC) insurance. Previous research has emphasized that Medicaid crowds out the demand for private LTC insurance. However, rejection rates are also high. Nearly 40 percent of the potential pool of purchasers would be rejected if they applied for private LTC insurance using current screening guidelines. We explore the possibility that high rejection rates are due to adverse selection. We propose a model which features agents who have private information about their risk exposure, a private LTC insurer and a government who provides public insurance (Medicaid). Our model accounts for low coverage rates and high rejection rates of private LTC insurance and is used to consider welfare-enhancing reforms of private and public provision of LTC insurance.

Suggested Citation

  • Tatyana Koreshkova & Karen Kopecky & R. Anton Braun, 2016. "Accounting for Low Take-up Rates and High Rejection Rates in the U.S. Long-Term Care Insurance Market," 2016 Meeting Papers 515, Society for Economic Dynamics.
  • Handle: RePEc:red:sed016:515
    as

    Download full text from publisher

    File URL: https://economicdynamics.org/meetpapers/2016/paper_515.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Benjamin Lester & Ali Shourideh & Venky Venkateswaran & Ariel Zetlin-Jones, 2019. "Screening and Adverse Selection in Frictional Markets," Journal of Political Economy, University of Chicago Press, vol. 127(1), pages 338-377.
    2. Karen A. Kopecky & Tatyana Koreshkova, 2014. "The Impact of Medical and Nursing Home Expenses on Savings," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(3), pages 29-72, July.
    3. R. Anton Braun & Karen A. Kopecky & Tatyana Koreshkova, 2017. "Old, Sick, Alone, and Poor: A Welfare Analysis of Old-Age Social Insurance Programmes," Review of Economic Studies, Oxford University Press, vol. 84(2), pages 580-612.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:red:sed016:515. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann). General contact details of provider: http://edirc.repec.org/data/sedddea.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.