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Amount and time exert independent influences on intertemporal choice

Author

Listed:
  • Dianna R. Amasino

    (Duke University
    Duke University)

  • Nicolette J. Sullivan

    (Duke University)

  • Rachel E. Kranton

    (Duke University)

  • Scott A. Huettel

    (Duke University
    Duke University)

Abstract

Intertemporal choices involve trade-offs between the value of rewards and the delay before those rewards are experienced. Canonical intertemporal choice models such as hyperbolic discounting assume that reward amount and time until delivery are integrated within each option prior to comparison1,2. An alternative view posits that intertemporal choice reflects attribute-wise processes in which amount and time attributes are compared separately3–6. Here, we use multi-attribute drift diffusion modelling (DDM) to show that attribute-wise comparison represents the choice process better than option-wise comparison for intertemporal choice in a young adult population. We find that, while accumulation rates for amount and time information are uncorrelated, the difference between those rates predicts individual differences in patience. Moreover, patient individuals incorporate amount earlier than time into the decision process. Using eye tracking, we link these modelling results to attention, showing that patience results from a rapid, attribute-wise process that prioritizes amount over time information. Thus, we find converging evidence that distinct evaluation processes for amount and time determine intertemporal financial choices. Because intertemporal decisions in the lab have been linked to failures of patience ranging from insufficient saving to addiction7–13, understanding individual differences in the choice process is important for developing more effective interventions.

Suggested Citation

  • Dianna R. Amasino & Nicolette J. Sullivan & Rachel E. Kranton & Scott A. Huettel, 2019. "Amount and time exert independent influences on intertemporal choice," Nature Human Behaviour, Nature, vol. 3(4), pages 383-392, April.
  • Handle: RePEc:nat:nathum:v:3:y:2019:i:4:d:10.1038_s41562-019-0537-2
    DOI: 10.1038/s41562-019-0537-2
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    Citations

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    Cited by:

    1. Xiaozhi Yang & Ian Krajbich, 2021. "Webcam-based online eye-tracking for behavioral research," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1485-1505, November.
    2. Adriani, Fabrizio & Sonderegger, Silvia, 2020. "Optimal similarity judgments in intertemporal choice (and beyond)," Journal of Economic Theory, Elsevier, vol. 190(C).
    3. Yan-Bang Zhou & Qiang Li & Hong-Zhi Liu, 2021. "Visual attention and time preference reversals," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(4), pages 1010-1038, July.
    4. repec:cup:judgdm:v:14:y:2019:i:4:p:381-394 is not listed on IDEAS
    5. Arkady Konovalov & Ian Krajbich, 2019. "Revealed strength of preference: Inference from response times," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 381-394, July.
    6. Fischbacher, Urs & Hausfeld, Jan & Renerte, Baiba, 2022. "Strategic incentives undermine gaze as a signal of prosocial motives," Games and Economic Behavior, Elsevier, vol. 136(C), pages 63-91.
    7. Amasino, Dianna R. & Dolgin, Jack & Huettel, Scott A., 2023. "Eyes on the account size: Interactions between attention and budget in consumer choice," Journal of Economic Psychology, Elsevier, vol. 97(C).
    8. Carrasco-Garcés, Moisés & Vásquez-Lavín, Felipe & Ponce Oliva, Roberto D. & Diaz Pincheira, Francisco & Barrientos, Manuel, 2021. "Estimating the implicit discount rate for new technology adoption of wood-burning stoves," Energy Policy, Elsevier, vol. 156(C).
    9. Hirmas, Alejandro & Engelmann, Jan B., 2023. "Impulsiveness moderates the effects of exogenous attention on the sensitivity to gains and losses in risky lotteries," Journal of Economic Psychology, Elsevier, vol. 95(C).
    10. repec:cup:judgdm:v:16:y:2021:i:4:p:1010-1038 is not listed on IDEAS
    11. Mel W Khaw & Luminita Stevens & Michael Woodford, 2021. "Individual differences in the perception of probability," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-25, April.
    12. Stephanie M. Smith & Ian Krajbich & Ryan Webb, 2019. "Estimating the dynamic role of attention via random utility," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 97-111, August.
    13. repec:cup:judgdm:v:16:y:2021:i:6:p:1485-1505 is not listed on IDEAS

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