IDEAS home Printed from https://ideas.repec.org/a/wly/econjl/v125y2015i582p184-202.html

A Testable Theory of Imperfect Perception

Author

Listed:
  • Andrew Caplin
  • Daniel Martin

Abstract

We provide a characterisation of choice behaviour generated by a Bayesian expected utility maximiser. The observable signature of this standard model is the impossibility of raising utility by switching wholesale from one action to another. We provide applications to robustness, to the recovery of utility from choice data and to model classification.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Andrew Caplin & Daniel Martin, 2015. "A Testable Theory of Imperfect Perception," Economic Journal, Royal Economic Society, vol. 125(582), pages 184-202, February.
    • Handle: RePEc:wly:econjl:v:125:y:2015:i:582:p:184-202
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/ecoj.2015.125.issue-582
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

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

    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:wly:econjl:v:125:y:2015:i:582:p:184-202. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.