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Age and Gender Effects on Auto Liability Insurance Payouts

Author

Listed:
  • Helen I. Doerpinghaus
  • Joan T. Schmit
  • Jason Jia‐Hsing Yeh

Abstract

We examine the relationship between claimant demographic characteristics (specifically, gender, age, and marital status) and the relative size of automobile third‐party settlements. We present three possible theories to explain differences in payouts associated with gender and age: variations in risk attitudes, variations in negotiating costs, and discrimination. Results of empirical testing are consistent with differences in settlement amounts, particularly with respect to gender. These differences are examined and discussed along with suggestions for future research.

Suggested Citation

  • Helen I. Doerpinghaus & Joan T. Schmit & Jason Jia‐Hsing Yeh, 2008. "Age and Gender Effects on Auto Liability Insurance Payouts," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(3), pages 527-550, September.
    • Handle: RePEc:bla:jrinsu:v:75:y:2008:i:3:p:527-550
    DOI: 10.1111/j.1539-6975.2008.00273.x
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    References listed on IDEAS

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    Cited by:

    1. Ha van Dung, 2014. "Short-term precaution, insurance and saving mechanisms in rural Vietnam," Working Papers CIE 82, Paderborn University, CIE Center for International Economics.
    2. Mercedes Ayuso & Lluís Bermúdez & Miguel Santolino, 2011. "“Influence of the claimant’s behavioural features on motor compensation outcomes”," IREA Working Papers 201108, University of Barcelona, Research Institute of Applied Economics, revised Jun 2011.
    3. Xiao Lin & Mark J. Browne & Annette Hofmann, 2022. "Race discrimination in the adjudication of claims: Evidence from earthquake insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 553-580, September.
    4. Miguel Santolino & Jean-Philippe Boucher, 2009. "Modelling the disability severity score in motor insurance claims: an application to the Spanish case," IREA Working Papers 200902, University of Barcelona, Research Institute of Applied Economics, revised Jan 2009.
    5. Eman Nabrawi & Abdullah Alanazi, 2023. "Fraud Detection in Healthcare Insurance Claims Using Machine Learning," Risks, MDPI, vol. 11(9), pages 1-11, September.
    6. Ayuso, Mercedes & Bermúdez, Lluís & Santolino, Miguel, 2015. "The dynamics of one-sided incomplete information in motor disputes," International Review of Law and Economics, Elsevier, vol. 41(C), pages 77-85.
    7. Mary Kelly & Anne Kleffner & Maureen Tomlinson, 2010. "First‐Party Versus Third‐Party Compensation for Automobile Accidents: Evidence From Canada," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 13(1), pages 21-44, March.

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