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Does Education Produce Identical Labour Market Outcomes for All? A Study on India

Author

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  • Anjan Ray Chaudhury

    (Anjan Ray Chaudhury is at the Department of Economics, Durgapur Government College, West Bengal, India, email: anjanr96@gmail.com)

  • Madhabendra Sinha

    (Madhabendra Sinha (corresponding author) is at the Department of Humanities and Social Sciences, National Institute of Technology Durgapur, West Bengal, India, email: madhabendras@gmail.com)

Abstract

According to the neoclassical economists, discrimination exists in the labour market if employers treat two equally qualified and skilled persons differently based on gender, race, age, disability, religion, caste, etc. In this article, we attempt to look at discrimination in the Indian labour market by applying the multinomial probit model of regression to the National Sample Survey Office data set. By taking years of schooling (as an indicator of skill and ability) as an independent variable in the model, we find that identically educated persons from different caste and gender groups are not equally likely to achieve similar occupational status, indicating the existence of discrimination in the Indian labour market. JEL Classifications: I31, C31

Suggested Citation

  • Anjan Ray Chaudhury & Madhabendra Sinha, 2020. "Does Education Produce Identical Labour Market Outcomes for All? A Study on India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(3), pages 309-331, August.
    • Handle: RePEc:sae:mareco:v:14:y:2020:i:3:p:309-331
    DOI: 10.1177/0973801020920095
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    References listed on IDEAS

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    More about this item

    Keywords

    Labour Market Discrimination; Intersectional Approach; Occupational Status; Gender;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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