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An Analysis Of Spanish Accidents In Automobile Insurance: The Use Of The Probit Model And Theoretical Potential Of Other Econometric Tools

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Listed:
  • Jose Antonio Ordaz

    (Universidad Pablo de Olavide, Spain)

  • Maria del Carmen Melgar

    (Universidad Pablo de Olavide, Spain)

  • M. Kazim Khan

    (Kent State University in Ohio, United States)

Abstract

Automobile insurance is one of the main pillars of the entire insurance industry in the developed economies. Knowing as much as possible about the factors related to the accidents is an essential issue for the insurance companies so that they may improve their levels of efficiency. Therefore, in this paper we focus on studying the most relevant variables that help explain the registration of claims in the automobile insurance sector. For this purpose, we fit a probit model specification using a database from a Spanish insurance company. Our research points out the significance of certain variables, such as the policyholders’ driving experience, their region of residence as well as their levels of insurance coverage, towards the likelihood of registering an insurance claim. However, probit analysis represents only one of the multiple perspectives which we can consider to examine the question of accidents and their reporting. Very briefly, we also discuss the utility of zero-inflated count data models to study the number of accidents declared by policyholders. Finally, we point out the possibilities that thinned models could offer for this type of research.

Suggested Citation

  • Jose Antonio Ordaz & Maria del Carmen Melgar & M. Kazim Khan, 2011. "An Analysis Of Spanish Accidents In Automobile Insurance: The Use Of The Probit Model And Theoretical Potential Of Other Econometric Tools," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 6(3), pages 117-134, September.
    • Handle: RePEc:pes:ierequ:v:6:y:2011:i:3:p:117-134
    DOI: 10.12775/EQUIL2011.024
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    References listed on IDEAS

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    4. Maria del Carmen Melgar & Jose Antonio Ordaz, 2010. "The Utility Of Zero-Inflated Models In The Estimation Of The Number Of Accidents In The Automobile Insurance Industry," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 5(2), pages 181-194, December.
    5. Boyer, Marcel & Dionne, Georges, 1989. "An Empirical Analysis of Moral Hazard and Experience Rating," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 128-134, February.
    6. Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
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    Cited by:

    1. Marian Reiff & Erik Šoltés & Silvia Komara & Tatiana Šoltésová & Silvia Zelinová, 2022. "Segmentation and estimation of claim severity in motor third-party liability insurance through contrast analysis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(3), pages 803-842, September.

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    More about this item

    Keywords

    Automobile insurance; claims; probit model; zero-inflated models; thinned models;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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