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Optimal cost reimbursement of health insurers to reduce risk selection

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  • Mathias Kifmann
  • Normann Lorenz

Abstract

In the absence of a perfect risk adjustment scheme, reimbursing health insurers' costs can reduce risk selection in community‐rated health insurance markets. In this paper, we develop a model in which insurers determine the cost efficiency of health care and have incentives for risk selection. We derive the optimal cost reimbursement function, which balances the incentives for cost efficiency and risk selection. For health cost data from a Swiss health insurer, we find that an optimal cost reimbursement scheme should reimburse costs only up to a threshold. Copyright © 2010 John Wiley & Sons, Ltd.

Suggested Citation

  • Mathias Kifmann & Normann Lorenz, 2011. "Optimal cost reimbursement of health insurers to reduce risk selection," Health Economics, John Wiley & Sons, Ltd., vol. 20(5), pages 532-552, May.
  • Handle: RePEc:wly:hlthec:v:20:y:2011:i:5:p:532-552
    DOI: 10.1002/hec.1614
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    References listed on IDEAS

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    6. 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.
    7. Glazer, Jacob & McGuire, Thomas G., 2002. "Setting health plan premiums to ensure efficient quality in health care: minimum variance optimal risk adjustment," Journal of Public Economics, Elsevier, vol. 84(2), pages 153-173, May.
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    Cited by:

    1. Bijlsma, M. & Boone, Jan & Zwart, G.T.J., 2015. "Community Rating in Health Insurance : Trade-Off Between Coverage and Selection," Other publications TiSEM f95e5efa-523c-48e2-9ea1-f, Tilburg University, School of Economics and Management.
    2. Colleen Carey, 2017. "Technological Change and Risk Adjustment: Benefit Design Incentives in Medicare Part D," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 38-73, February.
    3. Mathias Kifmann & Normann Lorenz, 2004. "Der optimale "Risikopool" zur Vermeidung von Risikoselektion," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 73(4), pages 539-554.
    4. Dosis, Anastasios, 2019. "Optimal ex post risk adjustment in markets with adverse selection," Journal of Mathematical Economics, Elsevier, vol. 85(C), pages 52-59.
    5. Geruso, Michael & McGuire, Thomas G., 2016. "Tradeoffs in the design of health plan payment systems: Fit, power and balance," Journal of Health Economics, Elsevier, vol. 47(C), pages 1-19.
    6. Martina Grunow & Robert Nuscheler, 2014. "Public And Private Health Insurance In Germany: The Ignored Risk Selection Problem," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 670-687, June.

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    More about this item

    JEL classification:

    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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