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Do insurers respond to risk adjustment? A long-term, nationwide analysis from Switzerland

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  • Viktor von Wyl
  • Konstantin Beck

Abstract

Community rating in social health insurance calls for risk adjustment in order to eliminate incentives for risk selection. Swiss risk adjustment is known to be insufficient, and substantial risk selection incentives remain. This study develops five indicators to monitor residual risk selection. Three indicators target activities of conglomerates of insurers (with the same ownership), which steer enrollees into specific carriers based on applicants’ risk profiles. As a proxy for their market power, those indicators estimate the amount of premium-, health care cost-, and risk-adjustment transfer variability that is attributable to conglomerates. Two additional indicators, derived from linear regression, describe the amount of residual cost differences between insurers that are not covered by risk adjustment. All indicators measuring conglomerate-based risk selection activities showed increases between 1996 and 2009, paralleling the establishment of new conglomerates. At their maxima in 2009, the indicator values imply that 56 % of the net risk adjustment volume, 34 % of premium variability, and 51 % cost variability in the market were attributable to conglomerates. From 2010 onwards, all indicators decreased, coinciding with a pre-announced risk adjustment reform implemented in 2012. Likewise, the regression-based indicators suggest that the volume and variance of residual cost differences between insurers that are not equaled out by risk adjustment have decreased markedly since 2009 as a result of the latest reform. Our analysis demonstrates that risk-selection, especially by conglomerates, is a real phenomenon in Switzerland. However, insurers seem to have reduced risk selection activities to optimize their losses and gains from the latest risk adjustment reform. Copyright Springer-Verlag Berlin Heidelberg 2016

Suggested Citation

  • Viktor von Wyl & Konstantin Beck, 2016. "Do insurers respond to risk adjustment? A long-term, nationwide analysis from Switzerland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(2), pages 171-183, March.
  • Handle: RePEc:spr:eujhec:v:17:y:2016:i:2:p:171-183
    DOI: 10.1007/s10198-015-0669-x
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    References listed on IDEAS

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    1. Stam, Pieter J.A. & van Vliet, René C.J.A. & van de Ven, Wynand P.M.M., 2010. "A limited-sample benchmark approach to assess and improve the performance of risk equalization models," Journal of Health Economics, Elsevier, vol. 29(3), pages 426-437, May.
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    5. Yujing Shen & Randall P. Ellis, 2002. "How profitable is risk selection? A comparison of four risk adjustment models," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 165-174, March.
    6. Thomson, Sarah & Busse, Reinhard & Crivelli, Luca & van de Ven, Wynand & Van de Voorde, Carine, 2013. "Statutory health insurance competition in Europe: A four-country comparison," Health Policy, Elsevier, vol. 109(3), pages 209-225.
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    Cited by:

    1. Christian Philipp Rudolf Schmid, 2017. "Unobserved health care expenditures: How important is censoring in register data?," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1807-1812, December.
    2. Rudy Douven & Lukas Kauer & Sylvia Demme & Francesco Paolucci & Wynand Ven & Jürgen Wasem & Xiaoxi Zhao, 2022. "Should administrative costs in health insurance be included in the risk-equalization? An analysis of five countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1437-1453, December.
    3. Frank Eijkenaar & René C. J. A. Vliet, 2018. "Improving risk equalization using information on physiotherapy diagnoses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(2), pages 203-211, March.
    4. Eijkenaar, Frank & van Vliet, René C.J.A., 2017. "Improving risk equalization for individuals with persistently high costs: Experiences from the Netherlands," Health Policy, Elsevier, vol. 121(11), pages 1169-1176.

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    More about this item

    Keywords

    Social health insurance; Cream skimming; Risk adjustment; Switzerland; I13; I18;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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