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Trust in insurance: The importance of experiences

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  • Christophe Courbage
  • Christina Nicolas

Abstract

This paper investigates the predictors of trust in insurance and the importance of experiences in a cross‐country setting using a recent insurance industry survey conducted in seven industrialized countries. Preliminary data analysis reveals a very high prevalence of bad experiences with insurance whereby more than 50% of respondents acknowledge having had a bad experience with insurance. Our main findings show that experiences with insurance are one of the most important factors influencing trust in insurance, with the negative effect of a bad experience being more pronounced than the positive effect of a good experience. We also find that trust in insurance is higher among females, younger and less educated individuals, while being lower among individuals with higher insurance literacy. Additionally, access to insurance information through the internet is associated with lower trust in insurance, while higher trust is observed among individuals using newspapers and magazines.

Suggested Citation

  • Christophe Courbage & Christina Nicolas, 2021. "Trust in insurance: The importance of experiences," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 263-291, June.
  • Handle: RePEc:bla:jrinsu:v:88:y:2021:i:2:p:263-291
    DOI: 10.1111/jori.12324
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    References listed on IDEAS

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    Cited by:

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    3. Chih-Te Yang & Yensen Ni & Mu-Hsiang Yu & Yuhsin Chen & Paoyu Huang, 2023. "Decoding the Profitability of Insurance Products: A Novel Approach to Evaluating Non-Participating and Participating Insurance Policies," Mathematics, MDPI, vol. 11(13), pages 1-16, June.
    4. Michel Fuino & Andrey Ugarte Montero & Joël Wagner, 2022. "On the drivers of potential customers' interest in long‐term care insurance: Evidence from Switzerland," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(3), pages 271-302, September.
    5. You-Shyang Chen & Chien-Ku Lin & Yu-Sheng Lin & Su-Fen Chen & Huei-Hua Tsao, 2022. "Identification of Potential Valid Clients for a Sustainable Insurance Policy Using an Advanced Mixed Classification Model," Sustainability, MDPI, vol. 14(7), pages 1-22, March.
    6. Lynn Conell‐Price & Carolyn Kousky & Howard Kunreuther, 2022. "Encouraging resiliency through autoenrollment in supplemental flood insurance coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 1109-1137, December.

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