Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 264

The DOI matches its Crossref record.

Assessing Punitive Damages (With Notes on Cognition and Valuation in Law)

Open access
Sunstein, Cass R., Kahneman, Daniel, Schkade, David·1998·The Yale Law Journal

Abstract

A. Two GoalsThis Article has two goals.The first is to investigate the sources of arbitrariness and unpredictability in punitive damage awards.On the basis of responses from 899 jury-eligible citizens, we estimate the results of deliberations consisting of all white juries, all African-American juries, all female juries, all male juries, all wealthy juries, all poor juries, and juries of widely diverse degrees of age and education.Our principal conclusions, stated briefly,' are that at least in the personal injury cases studied here, people's moral judgments are remarkably widely shared, but that people have a great deal of difficulty in mapping such judgments onto an unbounded scale of dollars.Shared moral judgments but erratic, unpredictable, and arbitrary awards, possibly even meaningless awards, are a potential product of this difficulty.Since participants in law are frequently asked to map their judgments onto an unbounded dollar scale, this problem relates not only to punitive damage reform but also to a number of other positive and normative questions now faced by the legal system, including the law governing awards for pain and suffering, libel, sexual harassment and other civil rights violations, intentional infliction of emotional distress, administrative penalties, and contingent valuation.In addition to identifying serious problems in current practices and suggesting possible reforms, our study points in the direction of a large and potentially fruitful research agenda.Our second goal involves what might be called the behavioral analysis of law.In the past three decades, a great deal of progress has come from the application of a certain understanding of economics to legal problems.Within economics and psychology, but outside law, that understanding has been under sustained attack.Within social science generally, the attack has produced insights that supplement, and sometimes undermine, those versions of economics that have undergirded economic analysis of law.These insights very much bear on law.Our study is thus an effort to contribute to the behavioral analysis of law, a field at its inception but showing signs of considerable growth. 2 Our findings also help show what might be missing, impractical, or 1.A technical version of the survey and study, accompanied with more detailed statistical analysis, is reported in Daniel Kahneman, David Schkade, & Cass R. Sunstein, Shared Outrage and Erratic Awards: The Psychology of Punitive Damages, 16 J.RISK & UNCERTAINTY (forthcoming Apr.1998).This Article provides a nontechnical summary of our findings and develops, as the technical paper does not, the implications of our findings for law and legal reform.2.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/797417

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 264

Metadata

Authors
Sunstein, C. R., Kahneman, D., & Schkade, D.
Venue
The Yale Law Journal
Publisher
JSTOR
Published
1998-05
Volume
107
Issue
7
Pages
2071
ISSN
0044-0094 (ISSN-L)
OpenAlex
W1641607344
Cited by
264
References
0
FWCI
63.83
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Assessing Punitive Damages (With Notes on Cognition and Valuation in Law). https://app.cochat.ai/papers/10.2307/797417
The paper
Sunstein, C. R., Kahneman, D., & Schkade, D. (1998). Assessing Punitive Damages (With Notes on Cognition and Valuation in Law). The Yale Law Journal. https://doi.org/10.2307/797417

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.