This study investigates the determinants of NEET status among Turkish youth aged 15–29, focusing on individual and family-related factors using 2010–2023 HLFS data. Employing a probit model, the analysis identifies significant influences of parental education, employment, and household income on NEET probability. A nuanced relationship emerges, with medium levels of parental education reducing NEET risk. Maternal education, particularly at the tertiary level, exerts a more pronounced influence compared to paternal education, underscoring the role of maternal engagement. Gender disparities are evident, with females disproportionately represented in the NEET category, largely due to caregiving responsibilities and societal norms. Family economic stability, measured through "decent work" status of parents, reduces NEET risk, while income displays a U-shaped relationship with NEET probability. The COVID-19 pandemic significantly increased NEET rates across all categories, disproportionately affecting females and low-educated youth. While post-pandemic recovery has been observed, gender and educational disparities persist.
Primary Language | English |
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Subjects | Labor Economics, Microeconomics (Other) |
Journal Section | Research Article |
Authors | |
Publication Date | March 27, 2025 |
Submission Date | January 14, 2025 |
Acceptance Date | February 18, 2025 |
Published in Issue | Year 2025 Volume: 26 Issue: 1 |
This work is licensed under Creative Commons Attribution-NonCommercial 4.0 International License since 2023.