Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,365

The DOI matches its Crossref record; 269 of the 269 references it cites were found in a registry or an index.

Psychology and Economics: Evidence from the Field

DellaVigna, Stefano·2009·Journal of Economic Literature

Abstract

The research in Psychology and Economics (a.k.a. Behavioral Economics) suggests that individuals deviate from the standard model in three respects: (1) nonstandard preferences, (2) nonstandard beliefs, and (3) nonstandard decision making. In this paper, I survey the empirical evidence from the field on these three classes of deviations. The evidence covers a number of applications, from consumption to finance, from crime to voting, from charitable giving to labor supply. In the class of nonstandard preferences, I discuss time preferences (self-control problems), risk preferences (reference dependence), and social preferences. On nonstandard beliefs, I present evidence on overconfidence, on the law of small numbers, and on projection bias. Regarding nonstandard decision making, I cover framing, limited attention, menu effects, persuasion and social pressure, and emotions. I also present evidence on how rational actors—firms, employers, CEOs, investors, and politicians—respond to the nonstandard behavior described in the survey. Finally, I briefly discuss under what conditions experience and market interactions limit the impact of the nonstandard features.

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 · 10.1257/jel.47.2.315

Cites

269 of 269 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

1 retracted

Show all 269 references

Cited by

See all 2,365

Metadata

Authors
DellaVigna, S.
Venue
Journal of Economic Literature
Published
2009-05-01
Volume
47
Issue
2
Pages
315-372
ISSN
0022-0515 (ISSN-L)
OpenAlex
W2097346962
Cited by
2,365
References
269
FWCI
78.80
Type
journal article
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: Psychology and Economics: Evidence from the Field. https://app.cochat.ai/papers/10.1257/jel.47.2.315
The paper
DellaVigna, S. (2009). Psychology and Economics: Evidence from the Field. Journal of Economic Literature. https://doi.org/10.1257/jel.47.2.315

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.