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Individual prediction of automobile bodily injury claims liabilities

Author

Listed:
  • Mercedes Ayuso(universitat de Barcelona)
  • Miguel Santolino(Universitat de Barcelona)

    (Universitat de Barcelona)

Abstract

Most motor bodily injury (BI) claims are settled by negotiation, with fewer than 5% of cases going to court. A well-defined negotiation strategy is thus very useful for insurance companies. In this paper we assume that the monetary compensation awarded in court is the upper amount to be offered by the insurer in the negotiation process. Using a real database, a log-linear model is implemented to estimate the maximal offer. Non-spherical disturbances are detected. Correlation occurs when various claims are settled in the same judicial verdict. Groupwise heteroscedasticity is due to the influence of the forensic valuation on the final compensation amount.

Suggested Citation

  • Mercedes Ayuso(universitat de Barcelona) & Miguel Santolino(Universitat de Barcelona), 2009. "Individual prediction of automobile bodily injury claims liabilities," Working Papers in Economics 220, Universitat de Barcelona. Espai de Recerca en Economia.
  • Handle: RePEc:bar:bedcje:2009220
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    References listed on IDEAS

    as
    1. Ayuso, Mercedes & Santolino, Miguel, 2007. "Predicting automobile claims bodily injury severity with sequential ordered logit models," Insurance: Mathematics and Economics, Elsevier, vol. 41(1), pages 71-83, July.
    2. Nelson, William Jr., 2002. "Equity or intention: it is the thought that counts," Journal of Economic Behavior & Organization, Elsevier, vol. 48(4), pages 423-430, August.
    3. David S. Loughran, 2005. "Deterring Fraud: The Role of General Damage Awards in Automobile Insurance Settlements," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(4), pages 551-575.
    4. Crocker, Keith J & Tennyson, Sharon, 2002. "Insurance Fraud and Optimal Claims Settlement Strategies," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 469-507, October.
    5. Viaene, Stijn & Ayuso, Mercedes & Guillen, Montserrat & Van Gheel, Dirk & Dedene, Guido, 2007. "Strategies for detecting fraudulent claims in the automobile insurance industry," European Journal of Operational Research, Elsevier, vol. 176(1), pages 565-583, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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