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S-shaped narrow framing, skewness and the demand for insurance

Author

Listed:
  • Chi, Yichun
  • Zheng, Jiakun
  • Zhuang, Shengchao

Abstract

The existing literature in insurance economics has shown that narrow framing can explain why people buy too little insurance compared to what standard theory predicts. However, there is also ample evidence suggesting people sometimes buy too much insurance. In this paper, we assume S-shaped narrow framing, i.e., the local utility function for evaluating the net insurance payoff is convex in the loss domain but concave in the gain domain, and show that it can reconcile with both insurance puzzles simultaneously. Especially, we show the policyholder under S-shaped narrow framing is more likely to underinsure more negatively skewed risks of loss but to overinsure less negatively skewed risks of loss when only coinsurance is offered. We further characterize the optimal insurance scheme under S-shaped narrow framing while incentive compatibility is satisfied. It contains a straight deductible when the net insurance payoff is negative but partial insurance when the net insurance payoff is positive.

Suggested Citation

  • Chi, Yichun & Zheng, Jiakun & Zhuang, Shengchao, 2022. "S-shaped narrow framing, skewness and the demand for insurance," Insurance: Mathematics and Economics, Elsevier, vol. 105(C), pages 279-292.
  • Handle: RePEc:eee:insuma:v:105:y:2022:i:c:p:279-292
    DOI: 10.1016/j.insmatheco.2022.04.005
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    Cited by:

    1. Jiakun Zheng & Yanyin Li, 2024. "The role of loss aversion in shaping environmental relocation decisions," Post-Print hal-04991151, HAL.
    2. Liyuan Cui & Wenyuan Li, 2025. "Demand for catastrophe insurance under the path-dependent effects," Papers 2508.15355, arXiv.org.
    3. Jiakun Zheng & Yanyin Li, 2024. "The role of loss aversion in shaping environmental relocation decisions," Economics Bulletin, AccessEcon, vol. 44(4), pages 1263-1270.
    4. Liang, Xiaoqing & Jiang, Wenjun & Zhang, Yiying, 2023. "Optimal insurance design under mean-variance preference with narrow framing," Insurance: Mathematics and Economics, Elsevier, vol. 112(C), pages 59-79.
    5. Chi, Yichun & Hu, Tao & Zhao, Zhengtang & Zheng, Jiakun, 2024. "Optimal insurance design under asymmetric Nash bargaining," Insurance: Mathematics and Economics, Elsevier, vol. 119(C), pages 194-209.
    6. Boonen, Tim J. & Han, Xia, 2024. "Optimal insurance with mean-deviation measures," Insurance: Mathematics and Economics, Elsevier, vol. 118(C), pages 1-24.
    7. Jiakun Zheng & Ling Zhou, 2025. "Too risky to hedge: An experiment on narrow bracketing," Post-Print hal-05063379, HAL.
    8. Tim J. Boonen & Xia Han, 2023. "Optimal insurance with mean-deviation measures," Papers 2312.01813, arXiv.org.

    More about this item

    Keywords

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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