The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences
Open accessAbstract
Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to leverage the strengths of both approaches by proposing a new survey module on risk aversion, time discounting, trust, altruism, positive and negative reciprocity, in which survey items are selected based on ability to predict choices in corresponding, incentivized experiments. The methodology and results provided in the paper can also potentially provide a model for researchers who have specific requirements and want to design their own modules. This paper was accepted by Yan Chen, behavioral economics and decision analysis. Funding: The project received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7-2007-2013) [Grant 209214]. A. Falk and T. Dohmen acknowledge funding from the Deutsche Forschungsgemeinschaft (German Research Foundation) [Grant CRC TR 224 (Project A01)] and Germany’s Excellence Strategy [Grant EXC 2126/1-390838866]. Supplemental Material: Data and the online appendices are available at https://doi.org/10.1287/mnsc.2022.4455 .
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
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
z-Tree: Zurich toolbox for ready-made economic experiments
Fischbacher, U. (2007) · Experimental Economics · doi:10.1007/s10683-006-9159-4 · Cited by 9,510
The proof and measurement of association between two things
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412159 · Cited by 8,039
Risk Aversion and Incentive Effects
Holt, C. A., & Laury, S. K. (2002) · American Economic Review · doi:10.1257/000282802762024700 · Cited by 5,939
Trust, Reciprocity, and Social History
Berg, J., Dickhaut, J., & McCabe, K. (1995) · Games and Economic Behavior · doi:10.1006/game.1995.1027 · Cited by 5,548
An experimental analysis of ultimatum bargaining
Güth, W., Schmittberger, R., & Schwarze, B. (1982) · Journal of Economic Behavior & Organization · doi:10.1016/0167-2681(82)90011-7 · Cited by 4,816
INDIVIDUAL RISK ATTITUDES: MEASUREMENT, DETERMINANTS, AND BEHAVIORAL CONSEQUENCES
Dohmen, T., Falk, A., Huffman, D., Sunde, U., Schupp, J., & Wagner, G. G. (2011) · Journal of the European Economic Association · doi:10.1111/j.1542-4774.2011.01015.x · Cited by 3,896
Self-citationA domain‐specific risk‐attitude scale: measuring risk perceptions and risk behaviors
Weber, E. U., Blais, A., & Betz, N. E. (2002) · Journal of Behavioral Decision Making · doi:10.1002/bdm.414 · Cited by 2,936
Subject pool recruitment procedures: organizing experiments with ORSEE
Greiner, B. (2015) · Journal of the Economic Science Association · doi:10.1007/s40881-015-0004-4 · Cited by 2,276
Cited by
Sustainable finance literacy and the determinants of sustainable investing
Filippini, M., Leippold, M., & Wekhof, T. (2024) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2024.107167 · Cited by 144
Will Artificial Intelligence Get in the Way of Achieving Gender Equality?
Carvajal, D., Franco, C., & Isaksson, S. (2024) · doi:10.2139/ssrn.4759218 · Cited by 32
Narratives about the Macroeconomy
Andre, P., Haaland, I., Roth, C., Wiederholt, M., & Wohlfart, J. (2026) · Review of Economic Studies · doi:10.1093/restud/rdag014 · Cited by 12
Falling and failing (to learn): Evidence from a nation-wide cybersecurity field experiment with SMEs
Gonzalez-Jimenez, D., Capozza, F., Dirkmaat, T., van de Veer, E., van Druten, A., & Baillon, A. (2025) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2024.106868 · Cited by 1
Metadata
- Authors
- Falk, A., Becker, A., Dohmen, T., Huffman, D., & Sunde, U.
- Venue
- Management Science
- Published
- 2023-04
- Volume
- 69
- Issue
- 4
- Pages
- 1935-1950
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W4299136050
- Cited by
- 477
- References
- 46
- FWCI
- 49.47
- 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: The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences. https://app.cochat.ai/papers/10.1287/mnsc.2022.4455
- The paper
- Falk, A., Becker, A., Dohmen, T., Huffman, D., & Sunde, U. (2023). The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences. Management Science. https://doi.org/10.1287/mnsc.2022.4455
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.