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Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data

In many societies, educational attainment determines social inequality in terms of life chances, and at the same time there is a strong link between social origin and educational success. Therefore, analysis of educational mobility patterns is a central concern for sociologists. In the context of so...

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Autores principales: Nennstiel, Richard, Becker, Rolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203400/
https://www.ncbi.nlm.nih.gov/pubmed/37229282
http://dx.doi.org/10.3389/fsoc.2023.1172553
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author Nennstiel, Richard
Becker, Rolf
author_facet Nennstiel, Richard
Becker, Rolf
author_sort Nennstiel, Richard
collection PubMed
description In many societies, educational attainment determines social inequality in terms of life chances, and at the same time there is a strong link between social origin and educational success. Therefore, analysis of educational mobility patterns is a central concern for sociologists. In the context of societal changes, such as trend of modernization, educational expansion and significantly increased female participation in education, we use administrative data from different sources (N = 556,112) to examine the extent to which absolute and relative intergenerational educational mobility has changed in Switzerland for women and men from the 1951–1990 birth cohorts. We show that there is significantly more upward than downward mobility, while a large proportion of individuals are laterally mobile. By looking at absolute mobility patterns by cohort and gender separately, we extend previous research and show that the decreasing absolute mobility rates are due to the changing educational composition of the parental generations. Following on from previous studies, we reveal that the observed trend toward less relative social mobility continues in the youngest cohorts. It is also worth noting that, while the father's educational attainment has a higher predictive power for children's education in all cohorts, the impact of the mother's education approaches that of the father. Overall, the mobility patterns of men and women converge very strongly over the cohort sequence. Beyond these substantive points, our study demonstrates the potential of using administrative data for social stratification research.
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spelling pubmed-102034002023-05-24 Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data Nennstiel, Richard Becker, Rolf Front Sociol Sociology In many societies, educational attainment determines social inequality in terms of life chances, and at the same time there is a strong link between social origin and educational success. Therefore, analysis of educational mobility patterns is a central concern for sociologists. In the context of societal changes, such as trend of modernization, educational expansion and significantly increased female participation in education, we use administrative data from different sources (N = 556,112) to examine the extent to which absolute and relative intergenerational educational mobility has changed in Switzerland for women and men from the 1951–1990 birth cohorts. We show that there is significantly more upward than downward mobility, while a large proportion of individuals are laterally mobile. By looking at absolute mobility patterns by cohort and gender separately, we extend previous research and show that the decreasing absolute mobility rates are due to the changing educational composition of the parental generations. Following on from previous studies, we reveal that the observed trend toward less relative social mobility continues in the youngest cohorts. It is also worth noting that, while the father's educational attainment has a higher predictive power for children's education in all cohorts, the impact of the mother's education approaches that of the father. Overall, the mobility patterns of men and women converge very strongly over the cohort sequence. Beyond these substantive points, our study demonstrates the potential of using administrative data for social stratification research. Frontiers Media S.A. 2023-05-09 /pmc/articles/PMC10203400/ /pubmed/37229282 http://dx.doi.org/10.3389/fsoc.2023.1172553 Text en Copyright © 2023 Nennstiel and Becker. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Sociology
Nennstiel, Richard
Becker, Rolf
Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data
title Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data
title_full Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data
title_fullStr Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data
title_full_unstemmed Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data
title_short Gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from Switzerland using administrative data
title_sort gendered intergenerational educational mobility patterns converge in the cohort sequence: evidence from switzerland using administrative data
topic Sociology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203400/
https://www.ncbi.nlm.nih.gov/pubmed/37229282
http://dx.doi.org/10.3389/fsoc.2023.1172553
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