Surajeet Chakravarty
Ambiguity and Accident Law
Chakravarty, Surajeet; Kelsey, David
Abstract
Environmental accidents often involve ambiguous risks, i.e. the relevant probabilities are unknown. This paper studies how liability rules are a¤ected by ambiguity. The injurer and the victim choose a level of care, which is observable, and an unobservable action. Both actions may a¤ect the size and/or likelihood of loss. We analyse the welfare implications of tort rules. First, we show that with ambiguity, negligence is likely to perform better than strict liability. Second, we propose a tort rule of negligence and punitive damages, which gives the e¢ cient levels of both care and unobserved actions.
Citation
Chakravarty, S., & Kelsey, D. (2017). Ambiguity and Accident Law. Journal of Public Economic Theory, 19(1), 97-120. https://doi.org/10.1111/jpet.12160
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 5, 2015 |
Online Publication Date | Mar 16, 2016 |
Publication Date | 2017-02 |
Deposit Date | Jun 22, 2020 |
Publicly Available Date | Jun 23, 2020 |
Journal | Journal of Public Econoimc Theory |
Print ISSN | 1097-3923 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 19 |
Issue | 1 |
Pages | 97-120 |
DOI | https://doi.org/10.1111/jpet.12160 |
Keywords | Tort; punitive damages; ambiguity; accident law; liability; environmental damage JEL Classi…cation: D81; K13 |
Public URL | https://nottingham-repository.worktribe.com/output/4700308 |
Publisher URL | https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpet.12160 |
Files
Ambiguity And Accident Law
(258 Kb)
PDF
You might also like
Contests with Ambiguity
(2018)
Journal Article
Randomization and dynamic consistency
(2015)
Journal Article
Sharing ambiguous risks
(2014)
Journal Article
Optimism and pessimism in games
(2014)
Journal Article
Dragon Slaying with Ambiguity: Theory and Experiments
(2016)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search