Factors Affecting Youth Unemployment: Empirical Assessment in the European Union Countries

Abstract This article aims to assess the influence of factors on youth unemployment in the European Union. The study evaluates several significant factors: GDP growth, education of young people, migration of young people, and average wages. Using multiple regression analysis, the study aims to investigate the relationship between these factors and youth unemployment. The results show that none of the chosen factors have a statistically significant impact on youth unemployment. This may be due to the fact that the chosen factors can have a lagged effect, which was not tested in this study. Additionally, the results revealed that, when solving the problem of autocorrelation, an included lagged youth unemployment variable has a statistically significant effect on youth unemployment.

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Publication Details

Journal
Management of Organizations Systematic Research
Published
2025-06-01
DOI
https://doi.org/10.2478/mosr-2025-0006
Primary Topic
Unemployment and Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Factors Affecting Youth Unemployment: Empirical Assessment in the European Union Countries

Akvilė Aleksandravičienė, Anastasiia Puha, Tetiana Koroi
Management of Organizations Systematic Research
Unemployment and Economic Growth
article

Factors Affecting Youth Unemployment: Empirical Assessment in the European Union Countries

Akvilė Aleksandravičienė, Anastasiia Puha, Tetiana Koroi
article en

Abstract

Abstract This article aims to assess the influence of factors on youth unemployment in the European Union. The study evaluates several significant factors: GDP growth, education of young people, migration of young people, and average wages. Using multiple regression analysis, the study aims to investigate the relationship between these factors and youth unemployment. The results show that none of the chosen factors have a statistically significant impact on youth unemployment. This may be due to the fact that the chosen factors can have a lagged effect, which was not tested in this study. Additionally, the results revealed that, when solving the problem of autocorrelation, an included lagged youth unemployment variable has a statistically significant effect on youth unemployment.

Management of Organizations Systematic ResearchVol. 93(1)
Vytautas Magnus University (LT)
Decent work and economic growth
Openalex Percentile: Top 16%
Unemployment and Economic Growth
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