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Privacy, Driving Data and Automobile Insurance: An Economic Analysis

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Listed:
  • Aidan Hollis
  • Jason Strauss

Abstract

With new technologies that enable insurers to electronically monitor vehicles and drivers, insurers should be able to price automobile insurance more accurately, creating individualized prices for consumers. The welfare effects of lower prices are straightforward, but we also consider that consumers have heterogeneous valuations of privacy that they may lose if they adopt the monitoring technologies. We examine the voluntary market adoption of these monitoring technologies and its effect on equilibrium prices and welfare. We find a welfare effect equal to the loss in privacy, but conclude that the overall effect is ambiguous without considering moral hazard.

Suggested Citation

  • Aidan Hollis & Jason Strauss, "undated". "Privacy, Driving Data and Automobile Insurance: An Economic Analysis," Working Papers 2008-13, Department of Economics, University of Calgary, revised 14 Feb 2008.
    • Handle: RePEc:clg:wpaper:2008-13
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    References listed on IDEAS

    as
    1. Lilia Filipova & Peter Welzel, 2005. "Reducing Asymmetric Information in Insurance Markets: Cars with Black Boxes," Discussion Paper Series 270, Universitaet Augsburg, Institute for Economics.
    2. Crocker, Keith J & Snow, Arthur, 1986. "The Efficiency Effects of Categorical Discrimination in the Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 321-344, April.
    3. Posner, Richard A, 1981. "The Economics of Privacy," American Economic Review, American Economic Association, vol. 71(2), pages 405-409, May.
      • Posner, Richard A., 1980. "The Economics of Privacy," Working Papers 16, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    4. repec:clg:wpaper:2007-18 is not listed on IDEAS
    5. Kai-Lung Hui & I.P.L. Png, 2005. "The Economics of Privacy," Industrial Organization 0505007, University Library of Munich, Germany, revised 29 Aug 2005.
    6. Wilson, Charles, 1977. "A model of insurance markets with incomplete information," Journal of Economic Theory, Elsevier, vol. 16(2), pages 167-207, December.
    7. Stigler, George J., 1980. "An Introduction to Privacy in Economics and Politics," Working Papers 10, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
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    Citations

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    Cited by:

    1. Adam Śliwiński & Łukasz Kuryłowicz, 2021. "Usage‐based insurance and its acceptance: An empirical approach," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(1), pages 71-91, March.
    2. Gemmo, Irina & Browne, Mark J. & Gründl, Helmut, 2017. "Transparency aversion and insurance market equilibria," ICIR Working Paper Series 25/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    3. Emer Owens & Barry Sheehan & Martin Mullins & Martin Cunneen & Juliane Ressel & German Castignani, 2022. "Explainable Artificial Intelligence (XAI) in Insurance," Risks, MDPI, vol. 10(12), pages 1-50, December.
    4. Adam Sliwinski & Lukasz Kurylowicz, 2021. "The Value of Privacy - Empirical Research, Using Drivers as an Example," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 936-953.

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    More about this item

    Keywords

    Insurance markets; Asymmetric information; Privacy;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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