Gender pay gap trends across <i>STEM</i> fields: an empirical analysis

Purpose This paper analyses the gender pay gap (GPG) in science, technology, engineering, and mathematics (STEM) in Portugal over the past decade, utilising official national earnings data. Design/methodology/approach A decomposition method is applied to estimate the explained and unexplained components of the GPG both at the mean and across the distribution quartiles of national earnings. This methodology can also be applied to other sectors or countries, providing robust statistical and econometric results relating to the GPG. Findings The results show that the GPG varies heterogeneously across STEM fields. In occupations relating to Information and Communication Technologies (ICT), which are included in STEM, the GPG has been widening in recent years, in contrast to the overall trend in the labour force. Originality/value The GPG in STEM is under-researched, with existing literature indicating a structural gap in these occupations. Understanding this GPG is essential for its reduction and for maximising human capital, which is vital for social and economic growth. This article aims to contribute to the discussion on this topic and offers potential policy recommendations.

Authors

Institutions

Publication Details

Journal
International Journal of Sociology and Social Policy
Published
2025-10-11
DOI
https://doi.org/10.1108/ijssp-02-2025-0090
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender pay gap trends across STEM fields: an empirical analysis

Amélia Bastos, Isabel Proença, Sara Falcão Casaca, João Cruz
International Journal of Sociology and Social Policy
Career Development and Diversity
article

Gender pay gap trends across STEM fields: an empirical analysis

Amélia Bastos, Isabel Proença, Sara Falcão Casaca, João Cruz
article en

Abstract

Purpose This paper analyses the gender pay gap (GPG) in science, technology, engineering, and mathematics (STEM) in Portugal over the past decade, utilising official national earnings data. Design/methodology/approach A decomposition method is applied to estimate the explained and unexplained components of the GPG both at the mean and across the distribution quartiles of national earnings. This methodology can also be applied to other sectors or countries, providing robust statistical and econometric results relating to the GPG. Findings The results show that the GPG varies heterogeneously across STEM fields. In occupations relating to Information and Communication Technologies (ICT), which are included in STEM, the GPG has been widening in recent years, in contrast to the overall trend in the labour force. Originality/value The GPG in STEM is under-researched, with existing literature indicating a structural gap in these occupations. Understanding this GPG is essential for its reduction and for maximising human capital, which is vital for social and economic growth. This article aims to contribute to the discussion on this topic and offers potential policy recommendations.

International Journal of Sociology and Social PolicyVol. 46(3-4)
Instituto Superior de Gestão (PT)
Openalex Percentile: Top 72%
Career Development and Diversity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.