IDEAS home Printed from https://ideas.repec.org/a/kap/jrisku/v70y2025i2d10.1007_s11166-024-09445-3.html
   My bibliography  Save this article

Fast and slow dynamic decision making under ambiguity

Author

Listed:
  • Rocco Caferra

    (Unitelma Sapienza University of Rome, Department of Law and Economics)

  • John Hey

    (University of Bari, Department of Economics, Management and Business Law)

  • Andrea Morone

    (Department of Economics, University of York)

Abstract

Different people think in different ways, and their behaviour can be analysed in different ways. In this paper, we analyse the correlation between the type of behaviour and the time taken to reach a decision in a dynamic context and under ambiguity with different monetary incentives, linking the results with fast and slow thinking processes. Four different types of dynamic decision-makers are identified: Resolute, Myopic, Sophisticated, and Expected Utility (EU). The different types use different methods to solve dynamic problems: A Resolute decision-maker (DM) decides right at the beginning his or her strategy, a Myopic DM simplifies the problem by ignoring part of it, a Sophisticated DM works by backward induction, and an EU DM either works by backward induction or by using the Strategy Method. We use data from (Caferra et al., 2023) where subjects were asked to solve a two-stage dynamic allocation problem. In that experiment, there were two treatments, incentivised and unincentivised. We found that their type matters: EU subjects take more time to solve the ambiguity, showing a relationship between dynamic consistency and ambiguity-neutrality with a deliberative thinking process. We also found that subjects in the non-incentivised treatment take less time, indicating that monetary incentives matter. The gap between the probabilities at each stage appears to be a good predictor of uncertainty for uncertainty averse subjects: the higher is the gap, the clearer is the most probable event and the lower is the time subjects spend to solve the decision problem.

Suggested Citation

  • Rocco Caferra & John Hey & Andrea Morone, 2025. "Fast and slow dynamic decision making under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 70(2), pages 89-104, April.
  • Handle: RePEc:kap:jrisku:v:70:y:2025:i:2:d:10.1007_s11166-024-09445-3
    DOI: 10.1007/s11166-024-09445-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11166-024-09445-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11166-024-09445-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rocco Caferra & John D. Hey & Andrea Morone & Marco Santorsola, 2023. "Dynamic inconsistency under ambiguity: An experiment," Journal of Risk and Uncertainty, Springer, vol. 67(3), pages 215-238, December.
    2. Peter Moffatt, 2005. "Stochastic Choice and the Allocation of Cognitive Effort," Experimental Economics, Springer;Economic Science Association, vol. 8(4), pages 369-388, December.
    3. John D. Hey & Gianna Lotito, 2018. "Naive, resolute or sophisticated? A study of dynamic decision making," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 11, pages 275-299, World Scientific Publishing Co. Pte. Ltd..
    4. Morone, Andrea & Caferra, Rocco, 2024. "The Ambiguity Box: A new tool to generate ambiguity in the lab," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 113(C).
    5. Ghirardato, Paolo & Maccheroni, Fabio & Marinacci, Massimo, 2004. "Differentiating ambiguity and ambiguity attitude," Journal of Economic Theory, Elsevier, vol. 118(2), pages 133-173, October.
    6. John D. Hey & Gianna Lotito & Anna Maffioletti, 2018. "The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 8, pages 189-219, World Scientific Publishing Co. Pte. Ltd..
    7. Michael Kirchler & David Andersson & Caroline Bonn & Magnus Johannesson & Erik Ø. Sørensen & Matthias Stefan & Gustav Tinghög & Daniel Västfjäll, 2017. "The effect of fast and slow decisions on risk taking," Journal of Risk and Uncertainty, Springer, vol. 54(1), pages 37-59, February.
    8. Carlos Alós-Ferrer & Johannes Buckenmaier, 2021. "Cognitive sophistication and deliberation times," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 558-592, June.
    9. Anna Conte & Gianmarco Santis & John D. Hey & Ivan Soraperra, 2023. "The determinants of decision time in an ambiguous context," Journal of Risk and Uncertainty, Springer, vol. 67(3), pages 271-297, December.
    10. Daniel Read, 2005. "Monetary incentives, what are they good for?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(2), pages 265-276.
    11. Peter J. Hammond, 1976. "Changing Tastes and Coherent Dynamic Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(1), pages 159-173.
    12. Wilcox, Nathaniel T, 1993. "Lottery Choice: Incentives, Complexity and Decision Time," Economic Journal, Royal Economic Society, vol. 103(421), pages 1397-1417, November.
    13. John D. Hey & Luca Panaccione, 2018. "Dynamic decision making: what do people do?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 10, pages 235-273, World Scientific Publishing Co. Pte. Ltd..
    14. Krähmer, Daniel & Stone, Rebecca, 2005. "Regret in Dynamic Decision Problems," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 71, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amit Kothiyal & Vitalie Spinu & Peter Wakker, 2014. "An experimental test of prospect theory for predicting choice under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 1-17, February.
    2. Anna Conte & Gianmarco Santis & John D. Hey & Ivan Soraperra, 2023. "The determinants of decision time in an ambiguous context," Journal of Risk and Uncertainty, Springer, vol. 67(3), pages 271-297, December.
    3. Morone, Andrea & Caferra, Rocco, 2024. "The Ambiguity Box: A new tool to generate ambiguity in the lab," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 113(C).
    4. Pan, Jinrui & Webb, Craig S. & Zank, Horst, 2015. "An extension of quasi-hyperbolic discounting to continuous time," Games and Economic Behavior, Elsevier, vol. 89(C), pages 43-55.
    5. Rocco Caferra & John D. Hey & Andrea Morone & Marco Santorsola, 2023. "Dynamic inconsistency under ambiguity: An experiment," Journal of Risk and Uncertainty, Springer, vol. 67(3), pages 215-238, December.
    6. Georgalos, Konstantinos, 2021. "Dynamic decision making under ambiguity: An experimental investigation," Games and Economic Behavior, Elsevier, vol. 127(C), pages 28-46.
    7. Konstantinos Georgalos, 2016. "Dynamic decision making under ambiguity," Working Papers 112111041, Lancaster University Management School, Economics Department.
    8. Chen, An & Hentschel, Felix & Steffensen, Mogens, 2021. "On retirement time decision making," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 107-129.
    9. Maria J. Ruiz Martos, 2018. "Sequential Common Consequence Effect and Incentives," ThE Papers 18/04, Department of Economic Theory and Economic History of the University of Granada..
    10. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    11. Jinrui Pan & Craig Webb & Horst Zank, 2013. "Discounting the Subjective Present and Future," Economics Discussion Paper Series 1305, Economics, The University of Manchester.
    12. Ubeda, Paloma, 2014. "The consistency of fairness rules: An experimental study," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 88-100.
    13. Anna Conte & John D. Hey, 2018. "Assessing multiple prior models of behaviour under ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 7, pages 169-188, World Scientific Publishing Co. Pte. Ltd..
    14. Guido Baltussen & G. Post & Martijn Assem & Peter Wakker, 2012. "Random incentive systems in a dynamic choice experiment," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 418-443, September.
    15. Cary Frydman & Ian Krajbich, 2022. "Using Response Times to Infer Others’ Private Information: An Application to Information Cascades," Management Science, INFORMS, vol. 68(4), pages 2970-2986, April.
    16. Daniel Navarro-Martinez & Graham Loomes & Andrea Isoni & David Butler & Larbi Alaoui, 2018. "Boundedly rational expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 57(3), pages 199-223, December.
    17. Carlos Alós-Ferrer & Ernst Fehr & Nick Netzer, 2021. "Time Will Tell: Recovering Preferences When Choices Are Noisy," Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1828-1877.
    18. Zhihua Li & Julia Müller & Peter P. Wakker & Tong V. Wang, 2018. "The Rich Domain of Ambiguity Explored," Management Science, INFORMS, vol. 64(7), pages 3227-3240, July.
    19. Matthew Ryan, 2018. "Uncertainty and binary stochastic choice," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 629-662, May.
    20. Daniel R. Burghart & Thomas Epper & Ernst Fehr, 2020. "The uncertainty triangle – Uncovering heterogeneity in attitudes towards uncertainty," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 125-156, April.

    More about this item

    Keywords

    Decision time; Choice under uncertainty; Ambiguity; Risk; Dynamic inconsistency; Ambiguity box; Sequential choice; Myopic; Resolute; Sophisticated; Expected Utility; Dual-decision process; Probability gap;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jrisku:v:70:y:2025:i:2:d:10.1007_s11166-024-09445-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.