Evidence map›Paper›PMID 41234252›Full record

ArticleFrontiers in sociology2025

The dynamic impact of higher education on youth employment opportunities and quality: an empirical analysis based on age-period-cohort models.

Longyin Chen, Jiru Guo, Wenting Li, Guyue Wang

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Article in Frontiers in sociology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Longyin ChenGraduate School, Xi'an Physical Education University, Xi'an, China.
Jiru GuoCountry School of Economics and Management, Shanghai University of Sport, Shanghai, China.
Wenting LiSchool of Media and Art, Tianjin University of Sport, Tianjin, China.
Guyue WangSchool of Physical Education, Xi'an Physical Education University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Education serves as a crucial mechanism influencing individuals' labor income and social mobility in modern society, and whether one has attained higher education has become a key determinant in the allocation of competitive opportunities within the labor market. However, the impact of this determinant on youth employment is inherently dynamic, shaped both by micro-level life course trajectories and by macro-level processes of social transformation. Methods: Drawing on eight waves of data from the China Social Survey (CSS) covering 2006-2021, this study applies a Hierarchical Age-Period-Cohort Cross-Classified Random Effects Model (HAPC-CCREM) to assess how higher education influences young people's employment outcomes in the labor market. The analysis considers two dimensions of employment performance-opportunities and quality-while also mapping dynamic trends across age, period, and cohort. Results: Higher education has a significant impact on all three dimensions of youth employment. Age: For higher-education youth, both employment opportunities and quality follow an inverted U-shaped curve, whereas for non-higher-education youth both indicators increase gradually. Period: Employment opportunities for both groups have undergone cyclical declines since 2006, but the decrease has been less steep for higher-education graduates, who have consistently outperformed their non-higher-education peers. In terms of employment quality, higher-education graduates show a fluctuating upward trend, while non-graduates maintain relatively stable levels. Cohort: Among higher-education cohorts, the effect on both employment opportunities and quality displays a "gradual rise-sharp decline" trajectory, whereas among non-higher-education cohorts, the pattern is one of "moderate fluctuations-mild improvement." Conclusion: While higher education significantly enhances youth employment opportunities and job quality, its returns decline in the later stages across all three temporal dimensions and are increasingly constrained by credential inflation and labor market structural transformations. This underscores the urgency of aligning higher education with the evolving labor market and implementing targeted employment policies.

Indexed as

CSSdynamic trendsemployment opportunitiesemployment qualityHAPChigher education

Identifiers

PMID41234252
PMCPMC12606442

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.