IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Adverse selection in disability insurance; empirical evidence for Dutch firms

  • Anja Deelen


Registered author(s):

    In this paper, we analyse the employers' decision to opt out of the public disability insurance (DI) system. For the empirical analysis we use an extensive panel of Dutch employers for the period 2000-2002. We find that cross-subsidies employers pay or receive under the current public insurance system of experience rating contribute to the opting out decision. Since cross-subsidies are risk related, this is an indication for the presence of adverse selection: high risk (cross-subsidised) firms tend to remain publicly insured, while low risk (cross subsidising) firms tend to opt out. This finding is supported by the fact that risk related characteristics such as the sector of industry and the composition of the work force by age and gender contribute to the explanation of the opting-out decision. Adverse selection could be diminished by setting public premiums in such a way that they are more actuarial fair in the long run. As a result, the risk profile of firms opting out will become more similar to that of firms not opting out.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: no

    Paper provided by CPB Netherlands Bureau for Economic Policy Analysis in its series CPB Discussion Paper with number 46.

    in new window

    Date of creation: Jun 2005
    Date of revision:
    Handle: RePEc:cpb:discus:46
    Contact details of provider: Postal: Postbus 80510, 2508 GM Den Haag
    Phone: (070) 338 33 80
    Fax: (070) 338 33 50
    Web page:

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Patricia M. Anderson & Bruce D. Meyer, 1994. "The Effects of Unemployment Insurance Taxes and Benefits on Layoffs Using Firm and Individual Data," NBER Working Papers 4960, National Bureau of Economic Research, Inc.
    2. Robin Boadway & Manuel Leite-Monteiro & Maurice Marchand & Pierre Pestieau, 2006. "Social Insurance and Redistribution with Moral Hazard and Adverse Selection," Scandinavian Journal of Economics, Wiley Blackwell, vol. 108(2), pages 279-298, 07.
    3. Anderson, Patricia M & Meyer, Bruce D, 1993. "Unemployment Insurance in the United States: Layoff Incentives and Cross Subsidies," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages S70-95, January.
    4. Finkelstein, Amy, 2004. "The interaction of partial public insurance programs and residual private insurance markets: evidence from the US Medicare program," Journal of Health Economics, Elsevier, vol. 23(1), pages 1-24, January.
    5. Bovenberg, A.L. & Besseling, P.J. & de Mooij, R.A., 1998. "Premium differentiation in social insurance," Other publications TiSEM 9d5509a0-ed01-4e8d-8724-8, Tilburg University, School of Economics and Management.
    6. Pierre-André Chiappori & Bernard Salanié, 1997. "Testing for Asymmetric Information in Insurance Markets," Working Papers 97-11, Centre de Recherche en Economie et Statistique.
    7. Jaap H. Abbring & Pierre-Andre Chiappori, 2004. "Moral Hazard and Dynamic Insurance Data," 2004 Meeting Papers 316, Society for Economic Dynamics.
    8. P. Koning, 2005. "Estimating the Impact of Experience Rating on the Inflow into Disability Insurance in the Netherlands," Working Papers 05-07, Utrecht School of Economics.
    9. Boyer, Marcel & Dionne, Georges, 1989. "An Empirical Analysis of Moral Hazard and Experience Rating," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 128-34, February.
    10. Laurence J. Kotlikoff & Kent A. Smetters & Jan Walliser, 1998. "Opting Out of Social Security and Adverse Selection," NBER Working Papers 6430, National Bureau of Economic Research, Inc.
    11. Dionne, G. & Doherty, N. & Fombaron, N., 2000. "Adverse Selection in Insurance Markets," Ecole des Hautes Etudes Commerciales de Montreal- 00-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    12. Jaap H. Abbring & James J. Heckman & Pierre-André Chiappori & Jean Pinquet, 2003. "Adverse Selection and Moral Hazard In Insurance: Can Dynamic Data Help to Distinguish?," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 512-521, 04/05.
    13. repec:rus:hseeco:16303 is not listed on IDEAS
    14. repec:ema:worpap:2000-21 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:cpb:discus:46. 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: ()

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.