IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v60y2017icp53-70.html

No need for more time: Intertemporal allocation decisions under time pressure

Author

Listed:
  • Lindner, Florian
  • Rose, Julia

Abstract

Time preferences drive decisions in many economic contexts. For understanding the underlying decision process, it is key to identify what affects these preferences in different situations. To shed light on how people make intertemporal allocation choices, we analyze the stability of time preferences under time pressure. Conducting a laboratory study with 144 subjects using convex time budgets, we elicit time preferences with and without time pressure in a within-subject design. We find preferences to be stable across conditions for aggregate estimates of present-bias and utility function curvature. For standard discounting, we find subjects to be significantly less impatient under time pressure. All results hold across specifications and different sub-samples. Individual-level analyses confirm aggregate findings.

Suggested Citation

  • Lindner, Florian & Rose, Julia, 2017. "No need for more time: Intertemporal allocation decisions under time pressure," Journal of Economic Psychology, Elsevier, vol. 60(C), pages 53-70.
    • Handle: RePEc:eee:joepsy:v:60:y:2017:i:c:p:53-70
    DOI: 10.1016/j.joep.2016.12.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167487016304652
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joep.2016.12.004?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Golsteyn, Bart H. H. & Schildberg-Hörisch, Hannah, 2017. "Challenges in research on preferences and personality traits: Measurement, stability, and inference," DICE Discussion Papers 263, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. Cao, Qian & Li, Jianbiao & Niu, Xiaofei, 2022. "Tempus fugit: The impact of time constraint on investor behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 67-81.
    3. Fisher, Geoffrey, 2021. "A multiattribute attentional drift diffusion model," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 167-182.
    4. Leonidas Spiliopoulos & Andreas Ortmann, 2018. "The BCD of response time analysis in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 383-433, June.
    5. Dilmaghani, Maryam, 2020. "Gender differences in performance under time constraint: Evidence from chess tournaments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 89(C).
    6. D. Pennesi, 2016. "Deciding fast and slow," Working Papers wp1082, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Niu, Xiaofei & Li, Jianbiao, 2019. "How Time Constraint Affects the Disposition Effect?," EconStor Preprints 194618, ZBW - Leibniz Information Centre for Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:60:y:2017:i:c:p:53-70. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.