Decoding girls’ STEM high school choices: Ability, confidence, stereotypes

The underrepresentation of females in STEM fields hinders productivity and perpetuates labor market inequalities. In countries where children are tracked into educational trajectories from high school (as in Italy, 8th grade), it is crucial to understand what drives gendered pathways before educational segregation starts. Collecting experimental and survey data from Italian 8th graders, we find that perceived advantageous comparisons with peers in math ability and counter-stereotypical beliefs increase the likelihood that girls enroll in a math-intensive track during high school. Policy initiatives improving girls’ expectations about their relative math performance may thus encourage female students to pursue STEM tracks.

Authors

Publication Details

Journal
Journal of Policy Modeling
Published
2026-04-01
DOI
https://doi.org/10.1016/j.jpolmod.2026.107046
Primary Topic
Gender Roles and Identity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Decoding girls’ STEM high school choices: Ability, confidence, stereotypes

Matteo Ploner, M. Vittoria Levati, Dominique Cappelletti
Journal of Policy Modeling
Gender Roles and Identity Studies
article

Decoding girls’ STEM high school choices: Ability, confidence, stereotypes

Matteo Ploner, M. Vittoria Levati, Dominique Cappelletti
article en

Abstract

The underrepresentation of females in STEM fields hinders productivity and perpetuates labor market inequalities. In countries where children are tracked into educational trajectories from high school (as in Italy, 8th grade), it is crucial to understand what drives gendered pathways before educational segregation starts. Collecting experimental and survey data from Italian 8th graders, we find that perceived advantageous comparisons with peers in math ability and counter-stereotypical beliefs increase the likelihood that girls enroll in a math-intensive track during high school. Policy initiatives improving girls’ expectations about their relative math performance may thus encourage female students to pursue STEM tracks.

Journal of Policy Modeling
Università degli Studi di Verona
Gender equality
Openalex Percentile: Top 23%
Gender Roles and Identity Studies
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