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
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.
Integrity signals
Registry
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.
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
RETRACTED: Procrastination, Deadlines, and Performance: Self-Control by Precommitment
Ariely, D., & Wertenbroch, K. (2002) · Psychological Science · doi:10.1111/1467-9280.00441 · Cited by 1,266
RetractedProspect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Prospect theory: An analysis of decision under risk
Kahneman, D., & Tversky, A. (1988) · Decision, Probability and Utility · doi:10.1017/cbo9780511609220.014 · Cited by 32,474
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Filders, R. (1992) · International Journal of Forecasting · doi:10.1016/0169-2070(92)90130-2 · Cited by 16,165
A BEHAVIORAL MODEL OF RATIONAL CHOICE
Simon, H. A. (1955) · The Quarterly Journal of Economics · doi:10.2307/1884852 · Cited by 15,877
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
A Theory of Fairness, Competition, and Cooperation
Fehr, E., & Schmidt, K. M. (1999) · The Quarterly Journal of Economics · doi:10.1162/003355399556151 · Cited by 11,264
Cited by
Golden eggs and hyperbolic discounting
Laibson, D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555253 · Cited by 6,122
Salience and Taxation: Theory and Evidence
Chetty, R., Looney, A., & Kroft, K. (2009) · American Economic Review · doi:10.1257/aer.99.4.1145 · Cited by 2,742
What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?
Levitt, S. D., & List, J. A. (2007) · Journal of Economic Perspectives · doi:10.1257/jep.21.2.153 · Cited by 2,668
Testing for Altruism and Social Pressure in Charitable Giving
DellaVigna, S., List, J. A., & Malmendier, U. (2012) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr050 · Cited by 1,080
Self-citationExponential Growth Bias and Household Finance
STANGO, V., & ZINMAN, J. (2009) · The Journal of Finance · doi:10.1111/j.1540-6261.2009.01518.x · Cited by 828
Metadata
- Authors
- DellaVigna, S.
- Venue
- Journal of Economic Literature
- Publisher
- American Economic Association
- 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.