Intergenerational education mobility: A machine learning perspective

نویسندگان

چکیده

By exploiting XGBoost and SHAP algorithms, this paper aims to reveal the importance of understanding nexus among parental characteristics for intergenerational mobility in educational attainment, especially from statistical learning perspective. Consistent with previous findings, both parents’ income head’s education are positively correlated child’s income. We also show strong low- high-income families. However, there exists a negative relationship between head middle-income Unlike conventional wisdom, we find that highly educated parents tends negatively associate opposite happens poorly parents. Moreover, white black children, their will adversely affect education, but effect turns out be positive children other races. Our hence suggests consideration ethnicity family wealth conjunction when making effectiveness facilitation policies.

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ژورنال

عنوان ژورنال: World journal of vocational education and training

سال: 2023

ISSN: ['2690-280X']

DOI: https://doi.org/10.18488/119.v5i1.3268