IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v96y2023ics0167487023000120.html

Conditionality of adaptiveness: Investigating the relationship between numeracy and adaptive behavior

Author

Listed:
  • Mondal, Supratik
  • Traczyk, Jakub

Abstract

Recent studies have illustrated that individuals with higher numeracy are more likely to make adaptive choices than individuals with lower numeracy. Highly numerate individuals can consistently make normatively superior choices by maximizing expected value (EV) in meaningful choice problems (high-payoff condition). However, in trivial problems (low-payoff condition), they can also adaptively change their strategy to make good enough choices and not follow a normatively superior strategy. Upon inspection of choice problems used in earlier studies, it was revealed that payoff was not the only varying factor between the two payoff conditions. Therefore, it is unclear whether payoff conditions alone can provide sufficient context for adaptive modulation in decision strategy. In two pre-registered studies (N = 343), we tested numerate individuals’ adaptiveness under high- and low-payoff conditions addressing the limitations of earlier studies. Results revealed that the presence of two payoff conditions together did not initiate adaptive strategy selection, regardless of participants’ numeracy. Instead, numerate individuals, compared to less numerate individuals, consistently made more EV-consistent choices in both payoff conditions. We identified that the change in EV consistency across payoff conditions was influenced more by the absolute difference than the relative difference in the expected reward.

Suggested Citation

  • Mondal, Supratik & Traczyk, Jakub, 2023. "Conditionality of adaptiveness: Investigating the relationship between numeracy and adaptive behavior," Journal of Economic Psychology, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:joepsy:v:96:y:2023:i:c:s0167487023000120
    DOI: 10.1016/j.joep.2023.102611
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167487023000120
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joep.2023.102611?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Tang, Ning, 2021. "Cognitive abilities, self-efficacy, and financial behavior," Journal of Economic Psychology, Elsevier, vol. 87(C).
    2. Saima Ghazal & Edward T. Cokely & Rocio Garcia-Retamero, 2014. "Predicting biases in very highly educated samples: Numeracy and metacognition," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(1), pages 15-34, January.
    3. Grohmann, Antonia & Kouwenberg, Roy & Menkhoff, Lukas, 2015. "Childhood roots of financial literacy," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 114-133.
    4. Edward T. Cokely & Colleen M. Kelley, 2009. "Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(1), pages 20-33, February.
    5. Rocio Garcia-Retamero & Allen Andrade & Joseph Sharit & Jorge G. Ruiz, 2015. "Is Patients’ Numeracy Related to Physical and Mental Health?," Medical Decision Making, , vol. 35(4), pages 501-511, May.
    6. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    7. 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.
    8. Milton Friedman & L. J. Savage, 1952. "The Expected-Utility Hypothesis and the Measurability of Utility," Journal of Political Economy, University of Chicago Press, vol. 60(6), pages 463-463.
    9. Michalis Drouvelis & Johannes Lohse, 2020. "Cognitive abilities and risk taking: the role of preferences," Discussion Papers 20-02, Department of Economics, University of Birmingham.
    10. Ellen Peters & Irwin P. Levin, 2008. "Dissecting the risky-choice framing effect: Numeracy as an individual-difference factor in weighting risky and riskless options," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3(6), pages 435-448, August.
    11. Blair R. K. Shevlin & Stephanie M. Smith & Jan Hausfeld & Ian Krajbich, 2022. "High-value decisions are fast and accurate, inconsistent with diminishing value sensitivity," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(6), pages 2101508119-, February.
    12. Edward T. Cokely & Mirta Galesic & Eric Schulz & Saima Ghazal & Rocio Garcia-Retamero, 2012. "Measuring risk literacy: The Berlin Numeracy Test," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 7(1), pages 25-47, January.
    13. Jakub Traczyk & Agata Sobkow & Kamil Fulawka & Jakub Kus & Dafina Petrova & Rocio Garcia-Retamero, 2018. "Numerate decision makers don't use more effortful strategies unless it pays: A process tracing investigation of skilled and adaptive strategy selection in risky decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(4), pages 372-381, July.
    14. Lau Lilleholt, 2019. "Cognitive ability and risk aversion: A systematic review and meta analysis," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(3), pages 234-279, May.
    15. Barrafrem, Kinga & Västfjäll, Daniel & Tinghög, Gustav, 2021. "The arithmetic of outcome editing in financial and social domains," Journal of Economic Psychology, Elsevier, vol. 86(C).
    16. Matthew Rabin & Georg Weizsacker, 2009. "Narrow Bracketing and Dominated Choices," American Economic Review, American Economic Association, vol. 99(4), pages 1508-1543, September.
    17. Estrada-Mejia, Catalina & de Vries, Marieke & Zeelenberg, Marcel, 2016. "Numeracy and wealth," Journal of Economic Psychology, Elsevier, vol. 54(C), pages 53-63.
    18. Carlos Alós-Ferrer & Michele Garagnani, 2022. "Strength of preference and decisions under risk," Journal of Risk and Uncertainty, Springer, vol. 64(3), pages 309-329, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lohse, Johannes & Rahal, Rima-Maria & Schulte-Mecklenbeck, Michael & Sofianos, Andis & Wollbrant, Conny, 2024. "Investigations of decision processes at the intersection of psychology and economics," Journal of Economic Psychology, Elsevier, vol. 103(C).

    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. Nicolas Eber & Patrick Roger & Tristan Roger, 2024. "Finance and intelligence: An overview of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 503-554, April.
    2. Sobkow, Agata & Olszewska, Angelika & Traczyk, Jakub, 2020. "Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection," Intelligence, Elsevier, vol. 80(C).
    3. Ellen Peters & Brittany Shoots-Reinhard, 2022. "Numeracy and the Motivational Mind: The Power of Numeric Self-efficacy," Medical Decision Making, , vol. 42(6), pages 729-740, August.
    4. Jakub Traczyk & Agata Sobkow & Kamil Fulawka & Jakub Kus & Dafina Petrova & Rocio Garcia-Retamero, 2018. "Numerate decision makers don't use more effortful strategies unless it pays: A process tracing investigation of skilled and adaptive strategy selection in risky decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(4), pages 372-381, July.
    5. Philip W. S. Newall, 2016. "Downside financial risk is misunderstood," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(5), pages 416-423, September.
    6. Lau Lilleholt, 2019. "Cognitive ability and risk aversion: A systematic review and meta analysis," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(3), pages 234-279, May.
    7. Philip Millroth & HÃ¥kan Nilsson & Peter Juslin, 2019. "The decision paradoxes motivating Prospect Theory: The prevalence of the paradoxes increases with numerical ability," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 513-533, July.
    8. Ray Saadaoui Mallek & Mohamed Albaity, 2019. "Individual differences and cognitive reflection across gender and nationality the case of the United Arab Emirates," Cogent Economics & Finance, Taylor & Francis Journals, vol. 7(1), pages 1567965-156, January.
    9. Carvalho, Leandro S. & Prina, Silvia & Sydnor, Justin, 2016. "The effect of saving on risk attitudes and intertemporal choices," Journal of Development Economics, Elsevier, vol. 120(C), pages 41-52.
    10. Simon Gächter & Eric J. Johnson & Andreas Herrmann, 2022. "Individual-level loss aversion in riskless and risky choices," Theory and Decision, Springer, vol. 92(3), pages 599-624, April.
    11. Zheng, Jiakun, 2020. "Optimal insurance design under narrow framing," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 596-607.
    12. Lucks, Konstantin, 2016. "The Impact of Self-Control on Investment Decisions," MPRA Paper 73099, University Library of Munich, Germany.
    13. Jiakun Zheng & Ling Zhou, 2025. "Too risky to hedge: An experiment on narrow bracketing," Post-Print hal-05063379, HAL.
    14. Jan Hausfeld & Sven Resnjanskij, 2017. "Risky Decisions and the Opportunity Costs of Time," TWI Research Paper Series 108, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    15. Nikola Erceg & Zvonimir Galić & Mitja RužojÄ ić, 2020. "A reflection on cognitive reflection – testing convergent/divergent validity of two measures of cognitive reflection," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(5), pages 741-755, September.
    16. Saima Ghazal & Edward T. Cokely & Rocio Garcia-Retamero, 2014. "Predicting biases in very highly educated samples: Numeracy and metacognition," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(1), pages 15-34, January.
    17. Hwang, In Do, 2021. "Prospect theory and insurance demand: Empirical evidence on the role of loss aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    18. Callis, Zoe & Gerrans, Paul & Walker, Dana L. & Gignac, Gilles E., 2023. "The association between intelligence and financial literacy: A conceptual and meta-analytic review," Intelligence, Elsevier, vol. 100(C).
    19. Skagerlund, Kenny & Lind, Thérèse & Strömbäck, Camilla & Tinghög, Gustav & Västfjäll, Daniel, 2018. "Financial literacy and the role of numeracy–How individuals’ attitude and affinity with numbers influence financial literacy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 18-25.
    20. Lohse, Johannes & Rahal, Rima-Maria & Schulte-Mecklenbeck, Michael & Sofianos, Andis & Wollbrant, Conny, 2024. "Investigations of decision processes at the intersection of psychology and economics," Journal of Economic Psychology, Elsevier, vol. 103(C).

    More about this item

    Keywords

    ;
    ;
    ;

    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:eee:joepsy:v:96:y:2023:i:c:s0167487023000120. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joep .

    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.