Guerra, Alice and Hlobil, Tobias M. (2015): Tailoring Negligence Standards to Accident Records. Published in: Journal of Legal Studies , Vol. 47, No. 2 (June 2018): pp. 325-348.
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Abstract
Traditional economic models of accident law are static and assume homogeneous individuals under perfect information. This paper relaxes these assumptions and presents a dynamic unilateral accident model in which potential injurers differ in their probability of accident. Information about individual risk-type is hidden from the social planner and from each potential injurer. We ask how negligence standards should be optimally tailored to individual risk-type when this is imperfectly observable. We argue that information about past accident experiences helps to efficiently define negligence standards, narrowing the distance between first-best standards perfectly tailored to individual risk-type and third-best averaged standards. We finally show that negligence standards refined on the basis of past accident experiences and of individual risk-type do not undermine private incentives to undertake due care.
Item Type: | MPRA Paper |
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Original Title: | Tailoring Negligence Standards to Accident Records |
Language: | English |
Keywords: | accident law, individualized negligence standards, negligence, bayesian updating rule |
Subjects: | K - Law and Economics > K1 - Basic Areas of Law > K10 - General K - Law and Economics > K1 - Basic Areas of Law > K13 - Tort Law and Product Liability ; Forensic Economics |
Item ID: | 66281 |
Depositing User: | Tobias Hlobil |
Date Deposited: | 27 Aug 2015 06:53 |
Last Modified: | 29 Sep 2019 21:14 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/66281 |