Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 506

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Theories of Fairness and Reciprocity: Evidence and Economic Applications

Fehr, Ernst·2008·Advances in Economics and Econometrics: Theory and Applications: Eighth World Congress Vol I

Abstract

Most economic models are based on the self-interest hypothesis that assumes that all people are exclusively motivated by their material self-interest.In recent years experimental economists have gathered overwhelming evidence that systematically refutes the self-interest hypothesis and suggests that many people are strongly motivated by concerns for fairness and reciprocity.Moreover, several theoretical papers have been written showing that the observed phenomena can be explained in a rigorous and tractable manner.These theories in turn induced a new wave of experimental research offering additional exciting insights into the nature of preferences and into the relative performance of competing theories of fairness.The purpose of this paper is to review these recent developments, to point out open questions, and to suggest avenues for future research.

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 · 10.1017/ccol0521818729.007

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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

Cites

Show all 8 references

Cited by

See all 506

Metadata

Authors
Fehr, E.
Venue
Advances in Economics and Econometrics: Theory and Applications: Eighth World Congress Vol I
Published
2008-12-12
Pages
208-257
OpenAlex
W3123027183
Cited by
506
References
8
FWCI
198.57
Type
book chapter
Language
en
Open access
closed

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: Theories of Fairness and Reciprocity: Evidence and Economic Applications. https://app.cochat.ai/papers/10.1017/ccol0521818729.007
The paper
Fehr, E. (2008). Theories of Fairness and Reciprocity: Evidence and Economic Applications. Advances in Economics and Econometrics: Theory and Applications: Eighth World Congress Vol I. https://doi.org/10.1017/ccol0521818729.007

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.