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S. Thorat, S. Madheswaran and B.P. Vani: Scheduled Castes in the Indian Labour Market: Employment Discrimination and its Impact on Poverty

Author

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  • Kaibalyapati Mishra

    (Institute for Social and Economic Change)

Abstract

"Scheduled Castes in the Indian Labour Market: Employment Discrimination and its Impact on Poverty" by S. Thorat, S. Madheswaran and B.P. Vani offers a comprehensive examination of the employment discrimination faced by scheduled castes (SCs) in India. The book analyses the disparities in unemployment rates, wages and occupational opportunities between SCs and higher castes, providing a deeper understanding of the socioeconomic implications of discrimination. It explores various theories of discrimination, ranging from neoclassical perspectives to identity-based norms, and examines different measurement methods to quantify the impact of discrimination on wage differentials. The findings of the book highlight the persistent inequalities rooted in the caste system and the urgent need for targeted policies to address them. By emphasising the importance of reducing employment gaps and wage disparities, the book underscores the significance of dismantling discriminatory practices for promoting social inclusion and economic progress in India.

Suggested Citation

  • Kaibalyapati Mishra, 2023. "S. Thorat, S. Madheswaran and B.P. Vani: Scheduled Castes in the Indian Labour Market: Employment Discrimination and its Impact on Poverty," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 66(2), pages 639-644, June.
    • Handle: RePEc:spr:ijlaec:v:66:y:2023:i:2:d:10.1007_s41027-023-00443-8
    DOI: 10.1007/s41027-023-00443-8
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    References listed on IDEAS

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    1. Akerlof George A & Kranton Rachel, 2010. "Identity Economics," The Economists' Voice, De Gruyter, vol. 7(2), pages 1-3, June.
    2. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
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