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Time, Risk, Precommitment, and Adverse Selection in Competitive Insurance Markets

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  • Mark V. Pauly

Abstract

This informal paper explores models of competitive insurance market equilibrium when individuals of initially similar apparent risk experience divergence in risk levels over time. The information structure is modeled in three alternative ways: all insurers and insureds know risk at any point in time, current insurer and insured know risk, and only the individual knows risk. Insurers always know the average risk. It is shown that some models lead to “backloading” of premiums in which initial premiums are less than initial period expected expense, and that other models lead to “frontloading” of premiums and policy provisions of “guaranteed renewability.” Finally, it is shown that guaranteed renewability greatly reduces the possibility of adverse selection.

Suggested Citation

  • Mark V. Pauly, 2003. "Time, Risk, Precommitment, and Adverse Selection in Competitive Insurance Markets," CESifo Working Paper Series 1068, CESifo.
  • Handle: RePEc:ces:ceswps:_1068
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp1068.pdf
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    References listed on IDEAS

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    1. Bradley Herring & Mark Pauly, 2003. "Incentive-Compatible Guaranteed Renewable Health Insurance," NBER Working Papers 9888, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Mark V. Pauly & Yuhui Zeng, 2004. "Adverse Selection and the Challenges to Stand-Alone Prescription Drug Insurance," NBER Chapters, in: Frontiers in Health Policy Research, Volume 7, pages 55-74, National Bureau of Economic Research, Inc.
    2. Ruo Jia & Zenan Wu, 2019. "Insurer commitment and dynamic pricing pattern," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 87-135, March.
    3. Ruo Jia & Zenan Wu, 2019. "Insurer commitment and dynamic pricing pattern," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 87-135, March.

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