This chapter studies inequality of opportunity in education in India and the key factors contributing these disparities. Using the ex-ante approach and machine learning algorithms, it analyses years of schooling as the outcome variable drawing from Periodic Labour Force Survey (PLFS) data. Input variables include gender, social group, parents’ education and occupation, and geographic region. The results reveal significant educational gap between rural and urban areas, as well as across gender and social groups. Gini coefficient of 0.22 indicate significant educational inequality, with about one-third of it stemming from circumstances beyond an individual’s control. Among all, parental education and geographical location emerge as the primary factors contributing to educational inequality. The study highlight the need for targeted policies to improve educational schools in underserved region, support marginalized communities, and promote gender equality.

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Inequality of Opportunity in Education

  • Balwant Singh Mehta,
  • Ravi Srivastava,
  • Siddharth Dhote

摘要

This chapter studies inequality of opportunity in education in India and the key factors contributing these disparities. Using the ex-ante approach and machine learning algorithms, it analyses years of schooling as the outcome variable drawing from Periodic Labour Force Survey (PLFS) data. Input variables include gender, social group, parents’ education and occupation, and geographic region. The results reveal significant educational gap between rural and urban areas, as well as across gender and social groups. Gini coefficient of 0.22 indicate significant educational inequality, with about one-third of it stemming from circumstances beyond an individual’s control. Among all, parental education and geographical location emerge as the primary factors contributing to educational inequality. The study highlight the need for targeted policies to improve educational schools in underserved region, support marginalized communities, and promote gender equality.