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Between-Group Adverse Selection: Evidence from Group Critical Illness Insurance

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  • Eling, Martin
  • Jia, Ruo
  • Yao, Yi

Abstract

This paper demonstrates the presence of adverse selection in the group insurance market for policies that allow no individual choice. As a “conventional wisdom,” group insurance mitigates adverse selection, since individual choice is minimized and group losses have less variability than individual losses. We complement this “conventional wisdom” by analyzing a group insurance scenario in which individual choice is excluded, and find that there is still adverse selection at the level of group, i.e. between-group adverse selection. Between-group adverse selection, however, disappears over time if the group renews with the same insurer for certain periods. Our results thus indicate that addressing adverse selection via group insurance is not necessarily effective enough to mitigate adverse selection, but that experience rating and underwriting based on the information that insurers learn over time are important.

Suggested Citation

  • Eling, Martin & Jia, Ruo & Yao, Yi, 2014. "Between-Group Adverse Selection: Evidence from Group Critical Illness Insurance," Working Papers on Finance 1403, University of St. Gallen, School of Finance, revised Oct 2014.
  • Handle: RePEc:usg:sfwpfi:2014:03
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    Cited by:

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    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. Cheung, Ka Chun & Phillip Yam, Sheung Chi & Yuen, Fei Lung & Zhang, Yiying, 2020. "Concave distortion risk minimizing reinsurance design under adverse selection," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 155-165.
    4. Martin Eling & Ruo Jia & Jieyu Lin & Casey Rothschild, 2022. "Technology heterogeneity and market structure," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 427-448, June.
    5. Chen, Bingzheng & Feng, Frank Y. & Powers, Michael R. & Qiu, Joseph, 2019. "Risk-revealing contracts for government-sponsored microinsurance," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    6. 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.
    7. Yi Yao & Joan Schmit & Julie Shi, 2019. "Promoting sustainability for micro health insurance: a risk-adjusted subsidy approach for maternal healthcare service," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 382-409, July.
    8. Patricia H. Born & E. Tice Sirmans, 2020. "Restrictive Rating and Adverse Selection in Health Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 919-933, December.
    9. Yu Yan & Michael Faure, 2021. "Government interventions in microinsurance: evidence from China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 440-467, July.

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    Keywords

    Adverse Selection; Information Asymmetry; Learning Over Time; Group Insurance; Critical Illness Insurance;
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