IDEAS home Printed from https://ideas.repec.org/a/bla/randje/v47y2016i2p394-432.html
   My bibliography  Save this article

An empirical study of observational learning

Author

Listed:
  • Peter W. Newberry

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter W. Newberry, 2016. "An empirical study of observational learning," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 394-432, May.
    • Handle: RePEc:bla:randje:v:47:y:2016:i:2:p:394-432
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/rand.2016.47.issue-2
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Guofang Huang & Hong Luo & Jing Xia, 2019. "Invest in Information or Wing It? A Model of Dynamic Pricing with Seller Learning," Management Science, INFORMS, vol. 65(12), pages 5556-5583, December.
    2. Limin Fang, 2022. "The Effects of Online Review Platforms on Restaurant Revenue, Consumer Learning, and Welfare," Management Science, INFORMS, vol. 68(11), pages 8116-8143, November.
    3. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2024. "Information Cascades and Social Learning," Journal of Economic Literature, American Economic Association, vol. 62(3), pages 1040-1093, September.
    4. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
    5. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
    6. Erdem Dogukan Yilmaz & Ivana Naumovska & Milan Miric, 2023. "Does imitation increase or decrease demand for an original product? Understanding the opposing effects of discovery and substitution," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 639-671, March.
    7. McMullen, Jeffery S. & Ding, Amy Wenxuan & Li, Shibo, 2021. "From cultural entrepreneurship to economic entrepreneurship in cultural industries: The role of digital serialization," Journal of Business Venturing, Elsevier, vol. 36(6).
    8. Andrew Weinbach & Phillip Kamau Njoroge & Robert Salvino & Arch Woodside, 2024. "Strategic behavior, artistic integrity, and tradeoffs in popular music," Contemporary Economic Policy, Western Economic Association International, vol. 42(3), pages 483-497, July.
    9. Joel Waldfogel, 2017. "How Digitization Has Created a Golden Age of Music, Movies, Books, and Television," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 195-214, Summer.

    More about this item

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. An empirical study of observational learning (RAND 2016) in ReplicationWiki

    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:bla:randje:v:47:y:2016:i:2:p:394-432. 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/randdus.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.