Summary information

Study title

The social-origin gap in university graduation by gender and immigrant status. A cohort analysis for Switzerland.

Creator

Combet, Benita
Oesch, Daniel

Study number / PID

10.7802/2277 (GESIS)

10.7802/2277 (DOI)

Data access

Information not available

Series

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Abstract

A large literature shows that families with more resources are able to provide better learning environments and make more ambitious educational choices for their children. At the end of compulsory education, the result is a social-origin gap in school-track attendance and learning outcomes. Our paper analyses whether this gap further widens thereafter for children with comparable school achievement, and whether the gap varies by gender and migrant status. We examine graduation rates from higher education by combining a cohort study from Switzerland with a reweighting method to match students on their school track, grades, reading literacy and place of residence at the end of compulsory school. The one observed feature that sets them apart is their parents’ socio-economic status. When analysing their graduation rates 14 years later at the age of 30, we find a large social-origin gap. The rate of university completion at age 30 is 20 percentage points higher among students from the highest socio-economic status quartile than among students from the lowest quartile, even though their school abilities were comparable at age 16. This gap appears to be somewhat smaller among women than men, and among natives than migrants, but differences are not statistically significant. For men and women, migrants and natives alike, abundant parental resources strongly increase the likelihood of university graduation in Switzerland.

Topics

Not available

Methodology

Data collection period

Not available

Country

Switzerland

Time dimension

Not available

Analysis unit

Not available

Universe

Sampling procedure

Not available

Kind of data

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Data collection mode

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Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2021

Terms of data access

Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.

Related publications

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