IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00752291.html
   My bibliography  Save this paper

Cumulative Discrete Choice

Author

Listed:
  • Itzhak Gilboa

    (TAU - Tel Aviv University)

  • Amit Pazgal

Abstract

We present a discrete choice model in which a consumer's impression of each alternative is based on her memory of past experience with this choice, and is stochastically updated whenever the alternative is chosen. The consumer remembers a cumulative utility index per alternative, and, when an alternative is chosen, the index is updated by the addition of a random variable, interpreted as instantaneous utility. We prove that the frequencies of choice converge, with probability 1, to limit frequencies, which can be computed from the model's parameters.

Suggested Citation

  • Itzhak Gilboa & Amit Pazgal, 2001. "Cumulative Discrete Choice," Post-Print hal-00752291, HAL.
    • Handle: RePEc:hal:journl:hal-00752291
    DOI: 10.1023/A:1011134718403
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Guerdjikova, Ani, 2006. "Portfolio Choice and Asset Prices in an Economy Populated by Case-Based Decision Makers," Working Papers 06-13, Cornell University, Center for Analytic Economics.
    2. Noah Gans & George Knox & Rachel Croson, 2007. "Simple Models of Discrete Choice and Their Performance in Bandit Experiments," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 383-408, December.
    3. Guerdjikova, Ani, 2008. "Case-based learning with different similarity functions," Games and Economic Behavior, Elsevier, vol. 63(1), pages 107-132, May.
    4. Noah Gans, 2002. "Customer Loyalty and Supplier Quality Competition," Management Science, INFORMS, vol. 48(2), pages 207-221, February.
    5. Balbontin, Camila & Hensher, David A. & Collins, Andrew T., 2019. "How to better represent preferences in choice models: The contributions to preference heterogeneity attributable to the presence of process heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 218-248.
    6. Maltz, Amnon, 2016. "Experience based dynamic choice: A revealed preference approach," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 1-13.

    More about this item

    Keywords

    cumulative discrete choice;

    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:hal:journl:hal-00752291. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.