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Monitoring and Privacy in Automobile Insurance Markets with Moral Hazard



This paper considers moral hazard insurance markets when voluntary monitoring technologies are available and insureds may choose the precision of monitoring. Also privacy costs incurred thereby are taken into account. Two alternative contract schemes are compared in terms of welfare: (i) monitoring conditional on the loss with only the insurance indemnities based on the monitoring data, and (ii) unrestricted monitoring with both the premiums and the indemnities depending on the data. With any contract scheme some monitoring will be optimal unless the privacy costs increase too fast in relation to the precision of the monitoring signal. In the benchmark situation (without privacy costs) relying completely on both signals (monitoring and the outcome) informative of effort (ii) maximizes welfare. In the presence of privacy costs, the contract with conditional monitoring (i) might dominate the contract which fully includes the outcome and the monitoring signal into the sharing rule (ii). Apart from the direct effect of restricting privacy costs only to the state of loss, there are also an additional indirect incentive and a risk-sharing effect with this contract. Letting the individuals choose the precision of the monitoring technology at the time they reveal the data (ex post) is inefficient with either contract scheme.

Suggested Citation

  • Lilia Filipova, 2007. "Monitoring and Privacy in Automobile Insurance Markets with Moral Hazard," Discussion Paper Series 293, Universitaet Augsburg, Institute for Economics.
  • Handle: RePEc:aug:augsbe:0293

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    References listed on IDEAS

    1. Rogerson, William P, 1985. "The First-Order Approach to Principal-Agent Problems," Econometrica, Econometric Society, vol. 53(6), pages 1357-1367, November.
    2. Frøystein Gjesdal, 1982. "Information and Incentives: The Agency Information Problem," Review of Economic Studies, Oxford University Press, vol. 49(3), pages 373-390.
    3. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2004. "Separating Moral Hazard from Adverse Selection in Automobile Insurance: Longitudinal Evidence from France," Cahiers de recherche 0420, CIRPEE.
    4. Singh, Nirvikar, 1985. "Monitoring and Hierarchies: The Marginal Value of Information in a Principal-Agent Model," Journal of Political Economy, University of Chicago Press, vol. 93(3), pages 599-609, June.
    5. Jewitt, Ian, 1988. "Justifying the First-Order Approach to Principal-Agent Problems," Econometrica, Econometric Society, vol. 56(5), pages 1177-1190, September.
    6. Grossman, Sanford J & Hart, Oliver D, 1983. "An Analysis of the Principal-Agent Problem," Econometrica, Econometric Society, vol. 51(1), pages 7-45, January.
    7. Demougin, Dominique & Fluet, Claude, 2001. "Monitoring versus incentives," European Economic Review, Elsevier, vol. 45(9), pages 1741-1764, October.
    8. Kim, Son Ku, 1995. "Efficiency of an Information System in an Agency Model," Econometrica, Econometric Society, vol. 63(1), pages 89-102, January.
    9. Dionne, G. & Maurice, M. & Pinquet, J. & Vanasse, C., 2001. "The Role of Memory in Long-Term Contracting with Moral Hazard: Empirical Evidence in Automobile Insurance," Ecole des Hautes Etudes Commerciales de Montreal- 01-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    10. Steven Shavell, 1979. "On Moral Hazard and Insurance," The Quarterly Journal of Economics, Oxford University Press, vol. 93(4), pages 541-562.
    11. Steven Shavell, 1979. "Risk Sharing and Incentives in the Principal and Agent Relationship," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 55-73, Spring.
    12. Ronald A. Dye, 1986. "Optimal Monitoring Policies in Agencies," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 339-350, Autumn.
    13. Son Ku Kim & Yoon S. Suh, 1992. "Conditional Monitoring Policy Under Moral Hazard," Management Science, INFORMS, vol. 38(8), pages 1106-1120, August.
    14. repec:bla:joares:v:23:y:1985:i:2:p:633-647 is not listed on IDEAS
    15. Harris, Milton & Raviv, Artur, 1979. "Optimal incentive contracts with imperfect information," Journal of Economic Theory, Elsevier, vol. 20(2), pages 231-259, April.
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    More about this item


    moral hazard; conditional monitoring; value of information; privacy;

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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