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Deductible Contracts Against Fraudulent Claims: Evidence From Automobile Insurance

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  • Georges Dionne
  • Robert Gagné
Abstract
Insurance fraud is now recognized as a significant resourceallocation problem in many markets. The object of this study is to verify how straight deductible contracts may affect the equilibrium level of falsification in automobile insurance. This type of contract is observed in many markets, even if it is not optimal under costly state falsification. A higher deductible may create incentives to fraud or cheat, particularly when the insured anticipates that the claim has a small probability of being audited. To verify this proposition, we estimate a loss equation for which one of the determinants is the amount of the deductible, using a data set of claims filed for damages following an automobile accident with twenty insurance companies in Quebec in 1992. Because we have access only to reported losses, a higher deductible also implies a lower probability of reporting small losses. To isolate the fraud effect related to the presence of a deductible in the contract, we jointly estimate a loss equation and a threshold equation. The threshold is the amount over which an insured decides to report a given loss. It can be interpreted as a personal deductible, and it is not observable. Our results indicate, among other things, that with an appropriate correction for selectivity the amount of the deductible is a significant determinant of the reported loss, at least when no other vehicle is involved in the accident; in other words, when the presence of witnesses is less likely. © 2001 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Georges Dionne & Robert Gagné, 2001. "Deductible Contracts Against Fraudulent Claims: Evidence From Automobile Insurance," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 290-301, May.
    • Handle: RePEc:tpr:restat:v:83:y:2001:i:2:p:290-301
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    References listed on IDEAS

    as
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