IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

The effect of gender and race on student performance in principles of economics: the importance of personality type

Listed author(s):
  • Mary O'Malley Borg
  • Harriet Stranahan
Registered author(s):

    Do women and minorities perform more poorly in economics courses than their white male counterparts? There are a number of studies that indicate that they do (Siegfried, 1979; Ferber, et al., 1983; Lumsden and Scott, 1987; Gohmann and Specter, 1989; Watts and Lynch, 1989; Anderson, et al., 1994). In addition, there are some studies that indicate that students' personality types adversely affect their performance in economics courses, as well (Borg and Shapiro, 1996; Zeigert, 2000). However, no one has yet studied how a student's personality type combines with race and gender to affect performance in economics courses. To explore this issue, this study tests for the statistical significance of a number of interaction effects between race and gender and the Kiersey-Bates temperament types in an ordered probit model explaining a student's grade in Principles of Macroeconomics. It is concluded that race and gender do matter in a student's performance in Principles of Macroeconomics, but not in a simple, direct way. Race and gender combine with temperament type to form more subtle, interactive effects on a student's probability of success in economics. In our particular sample of 119 students at the University of North Florida, female NF and NT students and non-white NT students performed more poorly in Principles of Macroeconomics than their counterparts who did not have these gender/temperament or race/temperament combinations.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal Applied Economics.

    Volume (Year): 34 (2002)
    Issue (Month): 5 ()
    Pages: 589-598

    in new window

    Handle: RePEc:taf:applec:v:34:y:2002:i:5:p:589-598
    DOI: 10.1080/00036840110039249
    Contact details of provider: Web page:

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:34:y:2002:i:5:p:589-598. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.