IDEAS home Printed from https://ideas.repec.org/a/spr/joecth/v80y2025i4d10.1007_s00199-025-01655-3.html
   My bibliography  Save this article

Restricted dynamic consistency

Author

Listed:
  • Lorenzo Stanca

    (Collegio Carlo Alberto and University of Turin)

Abstract

Dynamic consistency is a key behavioral property in dynamic economic models, making it possible to use tractable dynamic programming techniques. However, when combined with the separation of time and risk preferences, it can lead to unrealistic predictions that contradict empirical evidence. This paper demonstrates that dynamic consistency can be relaxed to hold over a much smaller domain of consumption programs while maintaining sufficient richness for practical applications and allowing the separation of risk aversion from intertemporal substitution. As an application, I introduce a new model of dynamic preferences, the Epstein–Zin–Selden–Stux preferences. These preferences are recursive only within a restricted domain. Recent experimental results by Meissner and Pfeiffer (J Econ Theory 200:105379, 2022), which Epstein–Zin preferences cannot rationalize, find a natural explanation through this new model. Finally, I consider an application of this new model to a consumption-investment problem.

Suggested Citation

  • Lorenzo Stanca, 2025. "Restricted dynamic consistency," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 80(4), pages 1203-1231, December.
  • Handle: RePEc:spr:joecth:v:80:y:2025:i:4:d:10.1007_s00199-025-01655-3
    DOI: 10.1007/s00199-025-01655-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00199-025-01655-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00199-025-01655-3?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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:spr:joecth:v:80:y:2025:i:4:d:10.1007_s00199-025-01655-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.