Multi-Dimensional Skills and Gender Differences in Stem Majors

A-Tier
Journal: Economic Journal
Year: 2023
Volume: 133
Issue: 651
Pages: 1217-1247

Score contribution per author:

4.022 = (α=2.01 / 1 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper studies the relationship between pre-college skills and gender differences in STEM majors. I use longitudinal data to estimate a generalised Roy model of initial major choices and subsequent graduation outcomes. I recover students’ latent math ability, non-cognitive skills and math self-efficacy. High–math-ability women have lower math self-efficacy than men. Mathematical ability and self-efficacy shape the likelihood of STEM enrolment. A lack of math self-efficacy drives women’s drop out from STEM majors. I find large returns to STEM enrolment for high–math-ability women. Well-focused math self-efficacy interventions could improve women’s STEM graduation rates and labour market outcomes.

Technical Details

RePEc Handle
repec:oup:econjl:v:133:y:2023:i:651:p:1217-1247.
Journal Field
General
Author Count
1
Added to Database
2026-01-29