Efficient Liability Rules for Multi-Party Accidents With Moral Hazard
Eberhard Feess () and
Ulrich Hege
Journal of Institutional and Theoretical Economics (JITE), 1998, vol. 154, issue 2, 422-450
Abstract:
The economic analysis of tort law is extended to multi-party accidents with unobservable actions. Due to the requirement of no punitive damages, the problem resembles a team production problem. It is shown that asymmetry in the agents' impact on the stochastic damage function can be exploited to improve ex ante incentives. This implies departures from the proportional rule, based on the statistical information contained in the circumstances of the accident. If a noisy monitoring technology is introduced, then monitoring can add enough stochastic identifiability among injurers to restore efficiency.
JEL-codes: D82 G22 K13 K32 (search for similar items in EconPapers)
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.ingentaconnect.com/content/mohr/jite/1998/00000154/00000002/art00004 (text/html)
Fulltext access is included for subscribers to the printed version.
Related works:
Working Paper: Efficient Liability Rules for Multi-Party Accidents with Moral Hazard (1998)
Working Paper: Efficient liability rules for multi-party accidents with moral hazard (1998) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mhr:jinste:urn:sici:0932-4569(199806)154:2_422:elrfma_2.0.tx_2-i
Ordering information: This journal article can be ordered from
Mohr Siebeck GmbH & Co. KG, P.O.Box 2040, 72010 Tübingen, Germany
Access Statistics for this article
Journal of Institutional and Theoretical Economics (JITE) is currently edited by Gerd Mühlheußer and Bayer, Ralph-C
More articles in Journal of Institutional and Theoretical Economics (JITE) from Mohr Siebeck, Tübingen
Bibliographic data for series maintained by Thomas Wolpert ().