Image from Google Jackets

The Gender Minority Gaps in Confidence and Self-Evaluation / Billur Aksoy, Christine L. Exley, Judd B. Kessler.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w32061.Publication details: Cambridge, Mass. National Bureau of Economic Research 2024.Description: 1 online resource: illustrations (black and white)Subject(s): Other classification:
  • C91
  • D91
  • J16
Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: A rich literature explores gender differences between men and women, but an increasing share of the population identifies their gender in some other way. Analyzing data on roughly 10,000 students and 1,500 adults, we find that such gender minorities are less confident and provide less favorable self-evaluations than equally performing men on a math and science test. We find that these "gender minority gaps" are robust, are as large as--or larger than--gender gaps between men and women, and are domain specific. Administrative data reveals that our confidence and self-evaluation measures are highly predictive of academic performance.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Status Date due Barcode Item holds
Working Paper Biblioteca Digital Colección NBER nber w32061 (Browse shelf(Opens below)) Not For Loan
Total holds: 0

January 2024.

A rich literature explores gender differences between men and women, but an increasing share of the population identifies their gender in some other way. Analyzing data on roughly 10,000 students and 1,500 adults, we find that such gender minorities are less confident and provide less favorable self-evaluations than equally performing men on a math and science test. We find that these "gender minority gaps" are robust, are as large as--or larger than--gender gaps between men and women, and are domain specific. Administrative data reveals that our confidence and self-evaluation measures are highly predictive of academic performance.

Hardcopy version available to institutional subscribers

System requirements: Adobe [Acrobat] Reader required for PDF files.

Mode of access: World Wide Web.

Print version record

There are no comments on this title.

to post a comment.

Powered by Koha