The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Individual laboratory-measured discount rates predict field behavior
Open accessAbstract
We estimate discount rates of 555 subjects using a laboratory task and find that these individual discount rates predict inter-individual variation in field behaviors (e.g., exercise, BMI, smoking). The correlation between the discount rate and each field behavior is small: none exceeds 0.28 and many are near 0. However, the discount rate has at least as much predictive power as any variable in our dataset (e.g., sex, age, education). The correlation between the discount rate and field behavior rises when field behaviors are aggregated: these correlations range from 0.09–0.38. We present a model that explains why specific intertemporal choice behaviors are only weakly correlated with discount rates, even though discount rates robustly predict aggregates of intertemporal decisions.
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
Golden eggs and hyperbolic discounting
Laibson, D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555253 · Cited by 6,122
Self-citationOn the Concept of Health Capital and the Demand for Health
Grossman, M. (1972) · Journal of Political Economy · doi:10.1086/259880 · Cited by 5,951
Mental Rotations, a Group Test of Three-Dimensional Spatial Visualization
Vandenberg, S. G., & Kuse, A. R. (1978) · Perceptual and Motor Skills · doi:10.2466/pms.1978.47.2.599 · Cited by 2,620
Barsky, R. B., Juster, F. T., Kimball, M. S., & Shapiro, M. D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555280 · Cited by 2,400
Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls.
Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.128.1.78 · Cited by 2,171
One Hundred Years of Social Psychology Quantitatively Described
Richard, F. D., Bond, C. F., & Stokes-Zoota, J. J. (2003) · Review of General Psychology · doi:10.1037/1089-2680.7.4.331 · Cited by 1,558 · cited 2×
“Your story matters Citation Chabris, Christopher F., David Laibson, Carrie L. Morris, Jonathon P. Schuldt, and Dmitry Taubinsky.”
Impulsivity and cigarette smoking: delay discounting in current, never, and ex-smokers
Bickel, W. K., Odum, A. L., & Madden, G. J. (1999) · Psychopharmacology · doi:10.1007/pl00005490 · Cited by 1,433
SUBJECTIVE PROBABILITY AND DELAY
Rachlin, H., Raineri, A., & Cross, D. (1991) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1991.55-233 · Cited by 1,341
Discounting of Delayed Rewards: A Life-Span Comparison
Green, L., Fry, A. F., & Myerson, J. (1994) · Psychological Science · doi:10.1111/j.1467-9280.1994.tb00610.x · Cited by 1,165
Neural mechanisms of general fluid intelligence
Gray, J. R., Chabris, C. F., & Braver, T. S. (2003) · Nature Neuroscience · doi:10.1038/nn1014 · Cited by 1,080
Self-citation
Cited by
Golden eggs and hyperbolic discounting
Laibson, D. (1997) · The Quarterly Journal of Economics · doi:10.1162/003355397555253 · Cited by 6,122
Self-citationGlobal Evidence on Economic Preferences*
Falk, A., Becker, A., Dohmen, T., Enke, B., Huffman, D., & Sunde, U. (2018) · The Quarterly Journal of Economics · doi:10.1093/qje/qjy013 · Cited by 1,724
Steep discounting of delayed monetary and food rewards in obesity: a meta-analysis
Amlung, M., Petker, T., Jackson, J., Balodis, I., & MacKillop, J. (2016) · Psychological Medicine · doi:10.1017/s0033291716000866 · Cited by 274
The Financial Costs of Sadness
Lerner, J. S., Li, Y., & Weber, E. U. (2013) · Psychological Science · doi:10.1177/0956797612450302 · Cited by 247
Prosociality predicts health behaviors during the COVID-19 pandemic
Campos-Mercade, P., Meier, A. N., Schneider, F. H., & Wengström, E. (2021) · Journal of Public Economics · doi:10.1016/j.jpubeco.2021.104367 · Cited by 242
Metadata
- Authors
- Chabris, C. F., Laibson, D., Morris, C. L., Schuldt, J. P., & Taubinsky, D.
- Venue
- Journal of Risk and Uncertainty
- Published
- 2008-10-16
- Volume
- 37
- Issue
- 2-3
- Pages
- 237-269
- ISSN
- 0895-5646 (ISSN-L)
- 1573-0476
- OpenAlex
- W2890560787
- Cited by
- 416
- References
- 16
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Individual laboratory-measured discount rates predict field behavior. https://app.cochat.ai/papers/10.1007/s11166-008-9053-x
- The paper
- Chabris, C. F., Laibson, D., Morris, C. L., Schuldt, J. P., & Taubinsky, D. (2008). Individual laboratory-measured discount rates predict field behavior. Journal of Risk and Uncertainty. https://doi.org/10.1007/s11166-008-9053-x
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.
