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Georges Dionne
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Journal Articles
Publisher: Journals Gateway
The Review of Economics and Statistics (2011) 93 (1): 218–227.
Published: 01 February 2011
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Road safety policies often use incentive mechanisms based on traffic violations to promote safe driving—for example, fines, experience rating, and point-record driver's licenses. We analyze the effectiveness of these mechanisms in promoting safe driving. We derive their theoretical properties with respect to contract time and accumulated demerit points. These properties are tested empirically with data from the Quebec public insurance plan. We find evidence of moral hazard, which means that drivers who accumulate demerit points become more careful because they are at risk of losing their license. An insurance rating scheme introduced in 1992 reduced the frequency of traffic violations by 15%. We use this result to derive monetary equivalents for traffic violations and license suspensions.
Journal Articles
Publisher: Journals Gateway
The Review of Economics and Statistics (2001) 83 (2): 290–301.
Published: 01 May 2001
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Insurance fraud is now recognized as a significant resource-allocation 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.