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Heterogeneity in Risky Choice Behavior in a Broad Population
Open accessAbstract
We analyze risk preferences using an experiment with real incentives in a representative sample of 1,422 Dutch respondents. Our econometric model incorporates four structural parameters that vary with observed and unobserved characteristics: utility curvature, loss aversion, preferences toward the timing of uncertainty resolution, and the propensity to choose randomly rather than on the basis of preferences. We find that all four parameters contribute to explaining choice behavior. The structural parameters are significantly associated with socioeconomic variables, but it is essential to incorporate unobserved heterogeneity in each of them to match the rich variety of choice patterns in the data. (JEL D12, D81)
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“These are in contrast to results of our human experiment (SI Appendix, Tables S5 and S6) and prior studies where rationality score and preference have been shown to differ across demographic groups (22, 28, 61).”
From The emergence of economic rationality of GPT (2023) · cites this paper as [61]
Citations
Cites
Prospect 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. J., & Tversky, A. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511609220.014 · Cited by 32,720
Theory of games and economic behavior
Garcia, S. R., & Miller, S. J. (2019) · American Mathematical Society eBooks · doi:10.1090/mbk/121/32 · Cited by 16,777
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
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784
Risk Aversion and Incentive Effects
Holt, C. A., & Laury, S. K. (2002) · American Economic Review · doi:10.1257/000282802762024700 · Cited by 5,893
Gender Differences in Preferences
Croson, R., & Gneezy, U. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.2.448 · Cited by 5,694
Risk Aversion in the Small and in the Large
Pratt, J. W. (1964) · Econometrica · doi:10.2307/1913738 · Cited by 4,976
Risk Aversion in the Small and in the Large
Pratt, J. W. (1976) · Econometrica · doi:10.2307/1912743 · Cited by 4,702
Allais, M. (1953) · Econometrica · doi:10.2307/1907921 · Cited by 4,054
Epstein, L. G., & Zin, S. E. (1989) · Econometrica · doi:10.2307/1913778 · Cited by 4,046
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 3,982
Discrete Choice Methods with Simulation
Train, K. E. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511753930 · Cited by 3,973
Myopic Loss Aversion and the Equity Premium Puzzle
Benartzi, S., & Thaler, R. H. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118511 · Cited by 2,487
Aspects of the Theory of Risk-Bearing.
Ożga, S. A., & Arrow, K. J. (1966) · Economica · doi:10.2307/2552628 · Cited by 1,915
Developments in Non-Expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk
Starmer, C. (2000) · Journal of Economic Literature · doi:10.1257/jel.38.2.332 · Cited by 1,885
Myopic Loss Aversion and the Equity Premium Puzzle
Benartzi, S., & Thaler, R. H. (1993) · National Bureau of Economic Research · doi:10.3386/w4369 · Cited by 1,803
Temporal Resolution of Uncertainty and Dynamic Choice Theory
Kreps, D. M., & Porteus, E. L. (1978) · Econometrica · doi:10.2307/1913656 · Cited by 1,753
Attitudes Toward Risk: Experimental Measurement in Rural India
Binswanger, H. P. D. (1980) · American Journal of Agricultural Economics · doi:10.2307/1240194 · Cited by 1,645
Eliciting Risk and Time Preferences
Andersen, S., Harrison, G. W., Lau, M. I., & Rutström, E. E. (2008) · Econometrica · doi:10.1111/j.1468-0262.2008.00848.x · Cited by 1,238
Investigating Generalizations of Expected Utility Theory Using Experimental Data
Hey, J. D., & Orme, C. D. (1994) · Econometrica · doi:10.2307/2951750 · Cited by 1,100
Estimating Individual Discount Rates in Denmark: A Field Experiment
Harrison, G. W., Lau, M. I., & Williams, M. B. (2002) · American Economic Review · doi:10.1257/000282802762024674 · Cited by 970
Psychological Expected Utility Theory and Anticipatory Feelings
Caplin, A., & Leahy, J. V. (2001) · The Quarterly Journal of Economics · doi:10.1162/003355301556347 · Cited by 809
The Predictive Utility of Generalized Expected Utility Theories
Harless, D. W., & Camerer, C. F. (1994) · Econometrica · doi:10.2307/2951749 · Cited by 720
Gender Differences in Risk Aversion and Ambiguity Aversion
Borghans, L., Golsteyn, B., Heckman, J. J., & Meijers, H. (2009) · Journal of the European Economic Association · doi:10.1162/jeea.2009.7.2-3.649 · Cited by 657
Dohmen, T., Falk, A., Huffman, D., Sunde, U., Schupp, J., & Wagner, G. G. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.807408 · Cited by 652
Elicitation using multiple price list formats
Andersen, S., Harrison, G. W., Lau, M. I., & Rutström, E. E. (2006) · Experimental Economics · doi:10.1007/s10683-006-7055-6 · Cited by 636
Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment
Fehr, E., & Goette, L. F. (2007) · American Economic Review · doi:10.1257/aer.97.1.298 · Cited by 581
Individual-level loss aversion in riskless and risky choices
Gächter, S., Johnson, E. J., & Herrmann, A. P. (2021) · Theory and Decision · doi:10.1007/s11238-021-09839-8 · Cited by 533
Köbberling, V., & Wakker, P. P. (2004) · Journal of Economic Theory · doi:10.1016/j.jet.2004.03.009 · Cited by 496
Eliciting von Neumann-Morgenstern Utilities When Probabilities Are Distorted or Unknown
Wakker, P. P., & Deneffe, D. (1996) · Management Science · doi:10.1287/mnsc.42.8.1131 · Cited by 477
Estimating Risk Attitudes in Denmark: A Field Experiment*
Harrison, G. W., Lau, M. I., & Rutström, E. E. (2007) · Scandinavian Journal of Economics · doi:10.1111/j.1467-9442.2007.00496.x · Cited by 461
Estimating Risk Attitudes using Lotteries: A Large Sample Approach
Donkers, B., Melenberg, B., & van Soest, A. (2001) · Journal of Risk and Uncertainty · doi:10.1023/a:1011109625844 · Cited by 438
Expected utility theory and prospect theory: one wedding and a decent funeral
Harrison, G. W., & Rutström, E. E. (2008) · Experimental Economics · doi:10.1007/s10683-008-9203-7 · Cited by 431
Individual-Level Loss Aversion in Riskless and Risky ChoicesPreprint
Gachter, S., Johnson, E. J., & Herrmann, A. P. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.1010597 · Cited by 367
Consistency and Heterogeneity of Individual Behavior under Uncertainty
Choi, S., Fisman, R. J., Gale, D. M., & Kariv, S. (2007) · American Economic Review · doi:10.1257/aer.97.5.1921 · Cited by 355
Understanding Pensions: Cognitive Function, Numerical Ability and Retirement Saving*
Banks, J., & Oldfield, Z. (2007) · Fiscal Studies · doi:10.1111/j.1475-5890.2007.00052.x · Cited by 345
Bellemare, C., Kröger, S., & van Soest, A. (2008) · Econometrica · doi:10.1111/j.1468-0262.2008.00860.x · Cited by 338
Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility
Bleichrodt, H., Prades, J. L. P., & Wakker, P. P. (2001) · Management Science · doi:10.1287/mnsc.47.11.1498.10248 · Cited by 335
Incorporating a stochastic element into decision theories
Loomes, G., & Sugden, R. (1995) · European Economic Review · doi:10.1016/0014-2921(94)00071-7 · Cited by 325
Narrow Bracketing and Dominated Choices
Rabin, M., & Weizsäcker, G. (2009) · American Economic Review · doi:10.1257/aer.99.4.1508 · Cited by 270
Experimental economics : rethinking the rules
Bardsley, N., Cubitt, R., Loomes, G., Moffatt, P. G., Starmer, C., & Sugden, R. (2010) · Economics Books · doi:10.82444/warw.33664753 · Cited by 250
A Microeconometric Test of Alternative Stochastic Theories of Risky Choice
Loomes, G., Moffatt, P. G., & Sugden, R. (2002) · Journal of Risk and Uncertainty · doi:10.1023/a:1014094209265 · Cited by 230
Decisions, Error and Heterogeneity
Ballinger, T. P., & Wilcox, N. T. (1997) · The Economic Journal · doi:10.1111/j.1468-0297.1997.tb00009.x · Cited by 204
Who is 'Behavioral'? Cognitive Ability and Anomalous PreferencesPreprint
Benjamin, D. J., Brown, S. A., & Shapiro, J. M. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.675264 · Cited by 198
A parameter-free analysis of the utility of money for the general population under prospect theory
Booij, A. S., & van de Kuilen, G. (2009) · Journal of Economic Psychology · doi:10.1016/j.joep.2009.05.004 · Cited by 191
Abdellaoui, M., Barrios, C., & Wakker, P. P. (2006) · Journal of Econometrics · doi:10.1016/j.jeconom.2006.05.025 · Cited by 169
Preference Heterogeneity in Experiments: Comparing the Field and Laboratory
Andersen, S., Harrison, G. W., Lau, M. I., & Rutström, E. E. (2007) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2009.09.006 · Cited by 165
Mixture models of choice under risk
Conte, A., Hey, J. D., & Moffatt, P. G. (2009) · Journal of Econometrics · doi:10.1016/j.jeconom.2009.10.011 · Cited by 147
Loomes, G. (2005) · Experimental Economics · doi:10.1007/s10683-005-5372-9 · Cited by 144
Customer-Specific Taste Parameters and Mixed Logit
Revelt, D., & Train, K. E. (1999) · Cited by 125
Spence, M., & Zeckhauser, R. (1972) · Econometrica · doi:10.2307/1909418 · Cited by 122
Hope: An empirical study of attitude toward the timing of uncertainty resolution
Chew, S. H., & Ho, J. L. Y. (1994) · Journal of Risk and Uncertainty · doi:10.1007/bf01064045 · Cited by 115
Discounting in judgments of delay and probability
Rachlin, H. C., Brown, J. C., & Cross, D. V. (2000) · Journal of Behavioral Decision Making · doi:10.1002/(sici)1099-0771(200004/06)13:2 · Cited by 104
Anxiety and Decision Making with Delayed Resolution of Uncertainty
Wu, G. (1999) · Theory and Decision · doi:10.1023/a:1004990410083 · Cited by 103
Random incentive systems in a dynamic choice experiment
Baltussen, G., Post, G. T., van den Assem, M. J., & Wakker, P. P. (2011) · Experimental Economics · doi:10.1007/s10683-011-9306-4 · Cited by 100
Risk tolerance in the present and the future: an experimental study
NOUSSAIR, C. N., & Wu, P. C. (2006) · Managerial and Decision Economics · doi:10.1002/mde.1278 · Cited by 97
Stochastic Choice and the Allocation of Cognitive Effort
Moffatt, P. G. (2005) · Experimental Economics · doi:10.1007/s10683-005-5375-6 · Cited by 93
Experimental Testing of Intrinsic Preferences for NonInstrumental Information
Eliaz, K., & Schotter, A. (2007) · American Economic Review · doi:10.1257/aer.97.2.166 · Cited by 72
Violations of Cumulative Prospect Theory in Mixed Gambles with Moderate Probabilities
Baltussen, G., Post, T., & Vliet, P. V. A. D. T. (2006) · Management Science · doi:10.1287/mnsc.1050.0544 · Cited by 71
Investment, resolution of risk, and the role of affect
van Winden, F. A. A. M., Krawczyk, M. W., & Hopfensitz, A. (2011) · Journal of Economic Psychology · doi:10.1016/j.joep.2011.07.007 · Cited by 69
Decision making under risk in Deal or No Deal
de Roos, N., & Sarafidis, Y. (2009) · Journal of Applied Econometrics · doi:10.1002/jae.1110 · Cited by 67
The Resolution of Uncertainty: An Experimental Study
Ahlbrecht, M., & Weber, M. (1996) · Cited by 41
Selection and Mode Effects in Risk Preference Elicitation ExperimentsPreprint
von Gaudecker, H., van Soest, A., & Wengström, E. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1092421 · Cited by 19
Self-citationAllais for All : Revisiting the Paradox
Huck, S. W., & Müller, W. (2007) · Research portal (Tilburg University) · Cited by 9
Investment, Resolution of Risk, and the Role of AffectPreprint
van Winden, F. A. A. M., Krawczyk, M. W., & Hopfensitz, A. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1568751 · Cited by 8
Starmer, C., & Bardsley, N. (2005) · Experimental Economics · doi:10.1007/s10683-005-5366-7 · Cited by 3
Selection and Mode Effects in Risk Preference Elicitation Experiments
von Gaudecker, H., van Soest, A., & Wengström, E. (2008) · MADOC (University of Mannheim) · Cited by 1
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- Ahlbrecht Martin, 1996, Journal of institutional and Theoretical Economics, 152, 593
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Metadata
- Authors
- von Gaudecker, H.-M., van Soest, A., & Wengström, E.
- Affiliations
- Department of Economics, Universität Mannheim, L7 3-5, 68131 Mannheim, Germany.
- Netspar, Tilburg University, P.O. Box 90153, NL-5000 LE Tilburg, Netherlands.
- University of Copenhagen (DK)
- ORCID
- Wengström, Erik
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2011-04-01
- Volume
- 101
- Issue
- 2
- Pages
- 664-694
- ISSN
- 0002-8282 (ISSN-L)
- 1944-7981
- OpenAlex
- W1505758174
- Cited by
- 349
- References
- 68
- Citations by year
- 2026: 18 · 2025: 18 · 2024: 17 · 2023: 26 · 2022: 30 · 2021: 20 · 2020: 29 · 2019: 22 · 2018: 27 · 2017: 30 · 2016: 17 · 2015: 17 · 2014: 25 · 2013: 23 · 2012: 24
- FWCI
- 13.42
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- Locations
- American Economic Review (publishedVersion)
- Research portal (Tilburg University) (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Keywords
- decision making under risk, risk preferences, preference heterogeneity, loss aversion, utility curvature, random choice, unobserved heterogeneity
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