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The risk elicitation puzzle revisited: Across-methods (in)consistency?

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  • Felix Holzmeister

    (University of Innsbruck)

  • Matthias Stefan

    (University of Innsbruck)

Abstract

With the rise of experimental research in the social sciences, numerous methods to elicit and classify people’s risk attitudes in the laboratory have evolved. However, evidence suggests that attitudes towards risk may vary considerably when measured with different methods. Based on a within-subject experimental design using four widespread risk preference elicitation tasks, we find that the different methods indeed give rise to considerably varying estimates of individual and aggregate level risk preferences. Conducting simulation exercises to obtain benchmarks for subjects’ behavior, we find that the observed heterogeneity in risk preference estimates across methods is qualitatively similar to the heterogeneity arising from independent random draws from the choice distributions observed in the experiment. Our study, however, provides evidence that subjects are surprisingly well aware of the variation in the riskiness of their choices. We argue that this calls into question the common interpretation of variation in revealed risk preferences as being inconsistent.

Suggested Citation

  • Felix Holzmeister & Matthias Stefan, 2021. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 593-616, June.
  • Handle: RePEc:kap:expeco:v:24:y:2021:i:2:d:10.1007_s10683-020-09674-8
    DOI: 10.1007/s10683-020-09674-8
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    Cited by:

    1. Felix Holzmeister & Christoph Huber & Stefan Palan, 2022. "A critical perspective on the conceptualization of risk in behavioral and experimental finance," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 30, pages 408-413, Edward Elgar Publishing.
    2. Kopsacheilis, Orestis & Goerg, Sebastian J., 2023. "Order Effects in Eliciting Preferences," IZA Discussion Papers 16343, Institute of Labor Economics (IZA).
    3. Antonio, Filippin & Marco, Mantovani, 2019. "Risk Aversion and Information Aggregation in Asset Markets," Working Papers 404, University of Milano-Bicocca, Department of Economics, revised Apr 2019.
    4. Balcombe, Kelvin & Fraser, Iain, 2024. "A Note on an Alternative Approach to Experimental Design of Lottery Prospects," MPRA Paper 119743, University Library of Munich, Germany.
    5. Irene Mussio & Maximiliano Sosa Andrés & Abdul H Kidwai, 2023. "Higher order risk attitudes in the time of COVID-19: an experimental study," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 163-182.
    6. Rafaï, Ismaël & Blayac, Thierry & Dubois, Dimitri & Duchêne, Sébastien & Nguyen-Van, Phu & Ventelou, Bruno & Willinger, Marc, 2023. "Stated preferences outperform elicited preferences for predicting reported compliance with COVID-19 prophylactic measures," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    7. Villacis, Alexis H., 2023. "Inconsistent choices over prospect theory lottery games: Evidence from field experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    8. Jacob K Goeree & Bernardo Garcia-Pola, 2023. "A Non-Parametric Test of Risk Aversion," Papers 2308.02083, arXiv.org.
    9. Evan M. Calford & Gregory DeAngelo, 2023. "Ambiguity and enforcement," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 304-338, April.
    10. Antonio Filippin & Marco Mantovani, 2023. "Risk aversion and information aggregation in binary‐asset markets," Quantitative Economics, Econometric Society, vol. 14(2), pages 753-798, May.
    11. Nienke F. S. Dijkstra & Henning Tiemeier & Bernd Figner & Patrick J. F. Groenen, 2022. "A Censored Mixture Model for Modeling Risk Taking," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1103-1129, September.
    12. Martin Holmén & Felix Holzmeister & Michael Kirchler & Matthias Stefan & Erik Wengström, 2023. "Economic Preferences and Personality Traits Among Finance Professionals and the General Population," The Economic Journal, Royal Economic Society, vol. 133(656), pages 2949-2977.
    13. Brice Corgnet & Roberto Hernán González, 2023. "On The Appeal Of Complexity," Working Papers 2312, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    14. repec:jdm:journl:v:17:y:2022:i:4:p:883-936 is not listed on IDEAS
    15. Irene Maria Buso & Daniela Di Cagno & Vittorio Larocca & Lorenzo Spadoni, 2022. "Gli effetti della modalita' di comunicazione del rischio sulle scelte di investimento finanziario: i risultati di un esperimento (Risk communication and investment decisions: An experimental analysis)," Moneta e Credito, Economia civile, vol. 75(297), pages 61-75.
    16. Fidanoski, Filip & Johnson, Timothy, 2023. "A z-Tree implementation of the Dynamic Experiments for Estimating Preferences [DEEP] method," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    17. repec:cup:judgdm:v:17:y:2022:i:4:p:883-936 is not listed on IDEAS

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    More about this item

    Keywords

    Risk preference elicitation; Inconsistent behavior; Risk attitudes;
    All these keywords.

    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

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