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Testing models of complexity aversion

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  • Georgalos, Konstantinos
  • Nabil, Nathan

Abstract

In this study we aim to test behavioural models of complexity aversion. In this framework, complexity is defined as a function of the number of outcomes in a lottery. Using Bayesian inference techniques, we re-analyse data from a lottery-choice experiment. We quantitatively specify and estimate adaptive toolbox models of cognition, which we rigorously test against popular expectation-based models; modified to account for complexity aversion. We find that for the majority of the subjects, a toolbox model performs best both in-sample, and with regards to its predictive capacity out-of-sample, suggesting that individuals resort to heuristics in the presense of extreme complexity.

Suggested Citation

  • Georgalos, Konstantinos & Nabil, Nathan, 2025. "Testing models of complexity aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 116(C).
    • Handle: RePEc:eee:soceco:v:116:y:2025:i:c:s2214804325000217
    DOI: 10.1016/j.socec.2025.102354
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    1. B. Douglas Bernheim & Charles Sprenger, 2020. "On the Empirical Validity of Cumulative Prospect Theory: Experimental Evidence of Rank‐Independent Probability Weighting," Econometrica, Econometric Society, vol. 88(4), pages 1363-1409, July.
    2. Wakker, Peter P., 2023. "A criticism of Bernheim & Sprenger's (2020) tests of rank dependence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    3. Kelvin Balcombe & Iain Fraser, 2015. "Parametric preference functionals under risk in the gain domain: A Bayesian analysis," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 161-187, April.
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Stefan Zeisberger, 2022. "Do people care about loss probabilities?," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 185-213, October.
    6. Oberholzer, Yvonne & Olschewski, Sebastian & Scheibehenne, Benjamin, 2024. "Complexity aversion in risky choices and valuations: Moderators and possible causes," Journal of Economic Psychology, Elsevier, vol. 100(C).
    7. Aurélien Baillon & Han Bleichrodt & Vitalie Spinu, 2020. "Searching for the Reference Point," Management Science, INFORMS, vol. 66(1), pages 93-112, January.
    8. Alison Hubbard Ashton & Robert H. Ashton, 1985. "Aggregating Subjective Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 31(12), pages 1499-1508, December.
    9. Huck, Steffen & Weizsacker, Georg, 1999. "Risk, complexity, and deviations from expected-value maximization: Results of a lottery choice experiment," Journal of Economic Psychology, Elsevier, vol. 20(6), pages 699-715, December.
    10. Dale O. Stahl, 2018. "An Empirical Evaluation of the Toolbox Model of Lottery Choices," The Review of Economics and Statistics, MIT Press, vol. 100(3), pages 528-534, July.
    11. Alina Ferecatu & Ayse Önçüler, 2016. "Heterogeneous risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 1-28, August.
    12. Viscusi, W Kip, 1989. "Prospective Reference Theory: Toward an Explanation of the Paradoxes," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 235-263, September.
    13. Stefania Sitzia & Daniel Zizzo, 2011. "Does product complexity matter for competition in experimental retail markets?," Theory and Decision, Springer, vol. 70(1), pages 65-82, January.
    14. Enrico Diecidue & Moshe Levy & Jeroen Ven, 2015. "No aspiration to win? An experimental test of the aspiration level model," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 245-266, December.
    15. Benjamin Enke & Cassidy Shubatt, 2023. "Quantifying Lottery Choice Complexity," CESifo Working Paper Series 10644, CESifo.
    16. Michael H. Birnbaum, 2005. "Three New Tests of Independence That Differentiate Models of Risky Decision Making," Management Science, INFORMS, vol. 51(9), pages 1346-1358, September.
    17. Giorgio Coricelli & Enrico Diecidue & Francesco D. Zaffuto, 2018. "Evidence for multiple strategies in choice under risk," Journal of Risk and Uncertainty, Springer, vol. 56(2), pages 193-210, April.
    18. Alam, Jessica & Georgalos, Konstantinos & Rolls, Harrison, 2022. "Risk preferences, gender effects and Bayesian econometrics," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 168-183.
    19. Peter Moffatt & Stefania Sitzia & Daniel Zizzo, 2015. "Heterogeneity in preferences towards complexity," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 147-170, October.
    20. Benjamin Enke & Cassidy Shubatt, 2023. "Quantifying Lottery Choice Complexity," NBER Working Papers 31677, National Bureau of Economic Research, Inc.
    21. Drew Fudenberg & Indira Puri, 2022. "Simplicity and Probability Weighting in Choice under Risk," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 421-425, May.
    22. Spyros Makridakis & Robert L. Winkler, 1983. "Averages of Forecasts: Some Empirical Results," Management Science, INFORMS, vol. 29(9), pages 987-996, September.
    23. Benjamin Enke & Thomas Graeber, 2023. "Cognitive Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(4), pages 2021-2067.
    24. Venkatraman, Vinod & Payne, John W. & Huettel, Scott A., 2014. "An overall probability of winning heuristic for complex risky decisions: Choice and eye fixation evidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 73-87.
    25. Konstantinos Georgalos & Nathan Nabil, 2023. "Testing Models of Complexity Aversion," Working Papers 400814269, Lancaster University Management School, Economics Department.
    26. Lisheng He & Pantelis P. Analytis & Sudeep Bhatia, 2022. "The Wisdom of Model Crowds," Management Science, INFORMS, vol. 68(5), pages 3635-3659, May.
    27. Ulrich Schmidt & Christian Seidl, 2014. "Reconsidering the common ratio effect: the roles of compound independence, reduction, and coalescing," Theory and Decision, Springer, vol. 77(3), pages 323-339, October.
    28. Michael H. Birnbaum & Ulrich Schmidt & Miriam D. Schneider, 2017. "Testing independence conditions in the presence of errors and splitting effects," Journal of Risk and Uncertainty, Springer, vol. 54(1), pages 61-85, February.
    29. John Payne, 2005. "It is Whether You Win or Lose: The Importance of the Overall Probabilities of Winning or Losing in Risky Choice," Journal of Risk and Uncertainty, Springer, vol. 30(1), pages 5-19, January.
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    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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