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Cognitive Uncertainty in Intertemporal Choice

Author

Listed:
  • Benjamin Enke
  • Thomas Graeber

Abstract

This paper studies the relevance of cognitive uncertainty – subjective uncertainty over one's utility-maximizing action – for understanding and predicting intertemporal choice. The main idea is that when people are cognitively noisy, such as when a decision is complex, they implicitly treat different time delays to some degree alike. By experimentally measuring and manipulating cognitive uncertainty, we document three economic implications of this idea. First, cognitive uncertainty explains various core empirical regularities, such as why people often appear very impatient, why per-period impatience is smaller over long than over short horizons, why discounting is often hyperbolic even when the present is not involved, and why choices frequently violate transitivity. Second, impatience is context-dependent: discounting is substantially more hyperbolic when the decision environment is more complex. Third, cognitive uncertainty matters for choice architecture: people who are nervous about making mistakes are twice as likely to follow expert advice to be more patient.

Suggested Citation

  • Benjamin Enke & Thomas Graeber, 2021. "Cognitive Uncertainty in Intertemporal Choice," NBER Working Papers 29577, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29577
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    File URL: http://www.nber.org/papers/w29577.pdf
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    Citations

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    Cited by:

    1. Ignacio Palacios-Huerta & David C. Parkes & Richard Steinberg, 2024. "Combinatorial Auctions in Practice," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 517-553, June.
    2. Gärtner, Florian & Semmler, Darwin & Bannier, Christina E., 2023. "What could possibly go wrong? Predictable misallocation in simple debt repayment experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 28-43.
    3. Mel Win Khaw & Ziang Li & Michael Woodford, 2022. "Cognitive Imprecision and Stake-Dependent Risk Attitudes," CESifo Working Paper Series 9923, CESifo.
    4. Henkel, Luca, 2024. "Experimental evidence on the relationship between perceived ambiguity and likelihood insensitivity," Games and Economic Behavior, Elsevier, vol. 145(C), pages 312-338.
    5. D'Acunto, Francesco & Hoang, Daniel & Paloviita, Maritta & Weber, Michael, 2023. "Cognitive constraints and economic incentives," Bank of Finland Research Discussion Papers 9/2023, Bank of Finland.
    6. Sara Arts & Qiyan Ong & Jianying Qiu, 2024. "Measuring decision confidence," Experimental Economics, Springer;Economic Science Association, vol. 27(3), pages 582-603, July.
    7. Burdea, Valeria & Woon, Jonathan, 2022. "Online belief elicitation methods," Journal of Economic Psychology, Elsevier, vol. 90(C).
    8. Lata Gangadharan & Philip J. Grossman & Nina Xue, 2022. "Stepping Stone: Identifying self-image concerns from motivated beliefs: Does it matter how and whom you ask?," Monash Economics Working Papers 2022-05, Monash University, Department of Economics.
    9. Herold, Florian & Netzer, Nick, 2023. "Second-best probability weighting," Games and Economic Behavior, Elsevier, vol. 138(C), pages 112-125.
    10. Feld, Brian & Nagy, AbdelRahman & Osman, Adam, 2022. "What do jobseekers want? Comparing methods to estimate reservation wages and the value of job attributes," Journal of Development Economics, Elsevier, vol. 159(C).

    More about this item

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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