Narrowing the Gender Wage Gap Among Computer Science Professionals: What Differentiates the Earnings of Asian and White Workers?

Autor/inn/en	Sassler, Sharon; Sorresso, Gabrielle
Titel	Narrowing the Gender Wage Gap Among Computer Science Professionals: What Differentiates the Earnings of Asian and White Workers? Gefälligkeitsübersetzung: Verringerung des geschlechtsspezifischen Lohngefälles unter Informatikern: Was unterscheidet das Einkommen asiatischer und weißer Arbeitnehmer?
Quelle	In: RSF : the Russell Sage Foundation journal of the social sciences, 12 (2026) 3, S. 98-123 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	2377-8261
DOI	10.7758/rsf.2026.12.3.05
Schlagwörter	Eheschließung; Frau; Eltern; Einkommensunterschied; Erwerbstätiger; Informatiker; Informationstechnischer Beruf; Auswirkung; Geschlechtsspezifik; Ethnische Gruppe; Asiat; Weißer; China; Herkunftsland; Indien; USA
Abstract	"Increasing women's representation in science, technology, engineering, and mathematics (STEM) is often seen as a way to reduce the gender wage gap. Asians are overrepresented in STEM, and previous studies found a smaller gender wage gap among Asians compared with Whites, but this research overlooked ethnic heterogeneity among Asians. This study uses 2009-2022 American Community Survey (ACS) data to exam ine gender differences in income for computer science (CS) professionals. We show that the gender wage gap is roughly twice as large among Indians as among Chinese and White CS workers, even after controlling for family and human capital characteristics. Indian women experience larger marriage and parenthood penal ties than do White and Chinese women. They are also more likely than White and Chinese women to be married to another CS professional, which negatively impacts earnings. Our findings on how household dy namics shape the gender wage gap contribute to the literature revealing that this gap is a family wage gap in disguise." The study refers to the period 2009-2022 (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/4