IDEAS home Printed from https://ideas.repec.org/a/taf/jeduce/v52y2021i2p156-172.html
   My bibliography  Save this article

What do economic education scholars study? Insights from machine learning

Author

Listed:
  • Jose M. Fernandez
  • Erin A. Yetter
  • Kim Holder

Abstract

The authors of this article use text mining techniques to uncover hidden or latent topics in economic education. The common use of JEL codes only identifies the academic setting for each paper but does not identify the underlying economic concept the paper addresses. An unsupervised machine learning algorithm called Latent Dirichlet Allocation is utilized to identify 15 hidden topics in economic education scholarly work. The text mining model identifies economic education topics by finding correlations in word usage across different documents. The authors show that these newly identified research topics explain more variation in citation counts than the commonly adopted JEL codes. Moreover, specific journals display preferences for certain topics within economic education research.

Suggested Citation

  • Jose M. Fernandez & Erin A. Yetter & Kim Holder, 2021. "What do economic education scholars study? Insights from machine learning," The Journal of Economic Education, Taylor & Francis Journals, vol. 52(2), pages 156-172, March.
    • Handle: RePEc:taf:jeduce:v:52:y:2021:i:2:p:156-172
    DOI: 10.1080/00220485.2021.1887027
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220485.2021.1887027
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00220485.2021.1887027?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 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. M. Scott Niederjohn & Kim Holder, 2024. "An Educational Note Using Rules of the Game in the Built Environment: Teaching Institutions and Incentives with Economic Mysteries," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 39(Spring 20), pages 59-76.
    2. Heikkilä, Jussi T. S., 2022. "Journal of Economic Literature codes classification system (JEL)," EconStor Preprints 261388, ZBW - Leibniz Information Centre for Economics.
    3. Fabio Arico & Alvin Birdi & Avi J. Cohen & Caroline Elliott & Tisha Emerson & Gail Hoyt & Cloda Jenkins & Ashley Lait & Jennifer Murdock & Christian Spielmann, 2024. "Teaching-Track Economists in Canada, the United Kingdom, and the United States," AEA Papers and Proceedings, American Economic Association, vol. 114, pages 305-313, May.

    More about this item

    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:taf:jeduce:v:52:y:2021:i:2:p:156-172. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/VECE20 .

    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.