INDIVIDUAL AND FAMILY RELATED DETERMINANTS OF NEET PROBABILITY: AN EMPIRICAL STUDY FOR TÜRKİYE

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.

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Publication Details

Journal
Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Published
2025-03-26
DOI
https://doi.org/10.53443/anadoluibfd.1619992
Citations
3
Primary Topic
Intergenerational and Educational Inequality Studies
Type
article
Field-Weighted Citation Impact
12.60
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article

INDIVIDUAL AND FAMILY RELATED DETERMINANTS OF NEET PROBABILITY: AN EMPIRICAL STUDY FOR TÜRKİYE

Zeynep Elitaş
3 citations
Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Intergenerational and Educational Inequality Studies
12.60
article

INDIVIDUAL AND FAMILY RELATED DETERMINANTS OF NEET PROBABILITY: AN EMPIRICAL STUDY FOR TÜRKİYE

Zeynep Elitaş
article en
3 citations

Abstract

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.

Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi DergisiVol. 26(1)
Anadolu University (TR)
Openalex Percentile: Top 2%
Intergenerational and Educational Inequality Studies
12.60
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