IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/18947.html
   My bibliography  Save this paper

Fraud in the Workplace? Evidence from a Dependent Verification Program

Author

Listed:
  • Michael Geruso
  • Harvey S. Rosen

Abstract

Many employers have implemented dependent verification (DV) programs, which aim to reduce employee benefits costs by ensuring that ineligible persons are not enrolled in their health plan as dependents. We evaluate a DV program using a panel of health plan enrollment data from a large, single-site employer. We find that dependents were 2.7 percentage points less likely to be reenrolled in the year that DV was introduced, indicating that this fraction of dependents was ineligibly enrolled prior to the program's introduction. We show that these dependents were actually ineligible, rather than merely discouraged from re-enrollment by compliance costs.

Suggested Citation

  • Michael Geruso & Harvey S. Rosen, 2013. "Fraud in the Workplace? Evidence from a Dependent Verification Program," NBER Working Papers 18947, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:18947
    Note: HE PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w18947.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. David M. Cutler & Richard J. Zeckhauser, 1998. "Adverse Selection in Health Insurance," NBER Chapters, in: Frontiers in Health Policy Research, Volume 1, pages 1-32, National Bureau of Economic Research, Inc.
    2. Altman, Daniel & Cutler, David M & Zeckhauser, Richard J, 1998. "Adverse Selection and Adverse Retention," American Economic Review, American Economic Association, vol. 88(2), pages 122-126, May.
    3. Hotz, V. Joseph & Scholz, John Karl, 2008. "Can Administrative Data on Child Support Be Used to Improve the EITC? Evidence From Wisconsin," National Tax Journal, National Tax Association;National Tax Journal, vol. 61(2), pages 189-203, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:pri:cepsud:232rosen is not listed on IDEAS
    2. David Bardey & Jean‐Charles Rochet, 2010. "Competition Among Health Plans: A Two‐Sided Market Approach," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(2), pages 435-451, June.
    3. Altman, Daniel & Cutler, David & Zeckhauser, Richard, 2003. "Enrollee mix, treatment intensity, and cost in competing indemnity and HMO plans," Journal of Health Economics, Elsevier, vol. 22(1), pages 23-45, January.
    4. Karen Eggleston & Anupa Bir, 2009. "Measuring Selection Incentives in Managed Care: Evidence From the Massachusetts State Employee Insurance Program," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(1), pages 159-175, March.
    5. Darius Erlangga & Shehzad Ali & Karen Bloor, 2019. "The impact of public health insurance on healthcare utilisation in Indonesia: evidence from panel data," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 603-613, May.
    6. Marcus C. Christiansen & Martin Eling & Jan-Philipp Schmidt & Lorenz Zirkelbach, 2016. "Who is Changing Health Insurance Coverage? Empirical Evidence on Policyholder Dynamics," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(2), pages 269-300, June.
    7. Baicker, Katherine & Chernew, Michael E. & Robbins, Jacob A., 2013. "The spillover effects of Medicare managed care: Medicare Advantage and hospital utilization," Journal of Health Economics, Elsevier, vol. 32(6), pages 1289-1300.
    8. Bührer, Christian & Fetzer, Stefan & Hagist, Christian, 2020. "Adverse selection in the German Health Insurance System – the case of civil servants," Health Policy, Elsevier, vol. 124(8), pages 888-894.
    9. Cutler, David & Lincoln, Bryan & Zeckhauser, Richard, 2010. "Selection stories: Understanding movement across health plans," Journal of Health Economics, Elsevier, vol. 29(6), pages 821-838, December.
    10. Cutler, David M. & Zeckhauser, Richard J., 2000. "The anatomy of health insurance," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.),Handbook of Health Economics, edition 1, volume 1, chapter 11, pages 563-643, Elsevier.
    11. K. P. M. Winssen & R. C. Kleef & W. P. M. M. Ven, 2017. "A voluntary deductible in health insurance: the more years you opt for it, the lower your premium?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(2), pages 209-226, March.
    12. Thomas Buchmueller & John Dinardo, 2002. "Did Community Rating Induce an Adverse Selection Death Spiral? Evidence from New York, Pennsylvania, and Connecticut," American Economic Review, American Economic Association, vol. 92(1), pages 280-294, March.
    13. Cardon, James H. & Showalter, Mark H., 2007. "Insurance choice and tax-preferred health savings accounts," Journal of Health Economics, Elsevier, vol. 26(2), pages 373-399, March.
    14. Karolin Becker & Peter Zweifel, 2008. "Age and Choice in Health Insurance," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 1(1), pages 27-40, January.
    15. H. E. Frech & Michael P. Smith, 2015. "Anatomy of a Slow-Motion Health Insurance Death Spiral," North American Actuarial Journal, Taylor & Francis Journals, vol. 19(1), pages 60-72, January.
    16. Thomas G. McGuire & Jacob Glazer, 2000. "Optimal Risk Adjustment in Markets with Adverse Selection: An Application to Managed Care," American Economic Review, American Economic Association, vol. 90(4), pages 1055-1071, September.
    17. Siadat, Banafsheh & Stolpe, Michael, 2005. "Reforming health care finance: What can Germany learn from other countries?," Kiel Economic Policy Papers 5, Kiel Institute for the World Economy (IfW).
    18. Frank, Richard G. & Glazer, Jacob & McGuire, Thomas G., 2000. "Measuring adverse selection in managed health care," Journal of Health Economics, Elsevier, vol. 19(6), pages 829-854, November.
    19. Michael Hoy & Michael Ruse, 2005. "Regulating Genetic Information in Insurance Markets," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(2), pages 211-237, September.
    20. Alan C. Monheit & Thomas M. Selden, 2000. "Cross‐subsidization in the market for employment‐related health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 9(8), pages 699-714, December.
    21. Belli, Paolo, 2001. "How adverse selection affects the health insurance market," Policy Research Working Paper Series 2574, The World Bank.

    More about this item

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

    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:nbr:nberwo:18947. 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: (). General contact details of provider: http://edirc.repec.org/data/nberrus.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.