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Inequality of Opportunity in Education

In: Predicting Inequality of Opportunity and Poverty in India Using Machine Learning

Author

Listed:
  • Balwant Singh Mehta

    (Institute for Human Development)

  • Ravi Srivastava

    (Institute for Human Development)

  • Siddharth Dhote

    (Institute for Human Development)

Abstract

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.

Suggested Citation

  • Balwant Singh Mehta & Ravi Srivastava & Siddharth Dhote, 2025. "Inequality of Opportunity in Education," India Studies in Business and Economics, in: Predicting Inequality of Opportunity and Poverty in India Using Machine Learning, chapter 0, pages 111-133, Springer.
    • Handle: RePEc:spr:isbchp:978-981-96-2544-4_5
    DOI: 10.1007/978-981-96-2544-4_5
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