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Economic Rationality under Cognitive Load

Author

Listed:
  • Andreas C Drichoutis
  • Rodolfo M Nayga

Abstract

Economic analysis assumes that consumer behaviour can be rationalised by a utility function. Previous research has shown that some consistency of choices with economic rationality can be captured by permanent cognitive ability. No other known study however has examined how a temporary load in subjects’ working memory can affect economic rationality. Using two controlled laboratory experiments, we exogenously vary cognitive load by asking subjects to memorise a number while they undertake an induced budget allocation task (Choi et al., 2007a, b). Using a number of manipulation checks, we verify that cognitive load has adverse effects on subjects’ performance in reasoning tasks. However, we find no effect in any of the goodness-of-fit measures that measure consistency of subjects’ choices with the Generalized Axiom of Revealed Preference (GARP), despite having a sample size large enough to detect even small differences between treatments with 80% power. We also find no effect on first-order stochastic dominance and risk preferences. Our finding suggests that economic rationality can be attained even when subjects are placed under temporary working memory load, despite the fact that the load has adverse effects in reasoning tasks.

Suggested Citation

  • Andreas C Drichoutis & Rodolfo M Nayga, 2020. "Economic Rationality under Cognitive Load," The Economic Journal, Royal Economic Society, vol. 130(632), pages 2382-2409.
  • Handle: RePEc:oup:econjl:v:130:y:2020:i:632:p:2382-2409.
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    File URL: http://hdl.handle.net/10.1093/ej/ueaa052
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    Cited by:

    1. E. Cettolin & P. S. Dalton & W. J. Kop & W. Zhang, 2020. "Cortisol meets GARP: the effect of stress on economic rationality," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 554-574, June.
    2. Schauf, Andrew & Oh, Poong, 2021. "Adaptation strategies and collective dynamics of extraction in networked commons of bistable resources," SocArXiv wmtqk, Center for Open Science.
    3. repec:osf:socarx:wmtqk_v1 is not listed on IDEAS
    4. Hui-Kuan Chung & Nick Doren & Lasse Mononen & Mia Lu & Marcus Grueschow & Helen Hayward Könnecke & Alexander Jetter & Boris B. Quednow & Nick Netzer & Philippe N. Tobler, 2025. "Improving rationality by increasing attention," ECON - Working Papers 476, Department of Economics - University of Zurich.
    5. Lasse Mononen, 2023. "Computing and comparing measures of rationality," ECON - Working Papers 437, Department of Economics - University of Zurich.
    6. Ball, Sheryl & Katz, Benjamin & Li, Flora & Smith, Alec, 2023. "The effect of cognitive load on economic decision-making: a replication attempt," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 226-242.
    7. 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.
    8. Deck, Cary & Jahedi, Salar & Sheremeta, Roman, 2021. "On the consistency of cognitive load," European Economic Review, Elsevier, vol. 134(C).
    9. Zhang, Wanqing, 2025. "Influence of stress, perceived control, and intrinsic motivation on individual economic decision-making," Other publications TiSEM 7a3c490f-d92c-47cf-92fb-9, Tilburg University, School of Economics and Management.
    10. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    11. Duffy, Sean & Gussman, Steven & Smith, John, 2021. "Visual judgments of length in the economics laboratory: Are there brains in stochastic choice?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    12. Drichoutis, Andreas C. & Nayga, Rodolfo M., 2022. "Game form recognition in preference elicitation, cognitive abilities, and cognitive load," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 49-65.
    13. Bulla-Holthaus, Natalia & Kairies-Schwarz, Nadja & Mussio, Irene, 2025. "The effects of cognitive load and mindfulness meditation on decisions related to risk and time," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 118(C).
    14. Schauf, Andrew & Oh, Poong, 2022. "Effects of uniform-allocation constraints in networked common-pool resource extraction games," SocArXiv kqfds_v1, Center for Open Science.
    15. Aaron Staples & Bridget K. Behe & Patricia Huddleston & Trey Malone, 2022. "What you see is what you get, and what you don't goes unsold: Choice overload and purchasing heuristics in a horticulture lab experiment," Agribusiness, John Wiley & Sons, Ltd., vol. 38(3), pages 620-635, July.
    16. Anja Achtziger & Carlos Alós-Ferrer & Alexander Ritschel, 2020. "Cognitive load in economic decisions," ECON - Working Papers 354, Department of Economics - University of Zurich.
    17. Adam Dominiak & Peter Duersch, 2024. "Choice under uncertainty and cognitive load," Journal of Risk and Uncertainty, Springer, vol. 68(2), pages 133-161, April.

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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