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Gender-Based Wage Discrimination in Indian Urban Labour Market: An Assessment

Author

Listed:
  • Balakarushna Padhi

    (Jawaharlal Nehru University)

  • Udaya S. Mishra

    (Centre for Development Studies)

  • Urmi Pattanayak

    (North Orissa University)

Abstract

This study attempts at verifying the pattern of the wage gap between gender in India’s urban labour market using NSS 50th (1993–1994), 61st (2004–2005), and 68th (2011–2012) Employment and Unemployment Surveys. The wage gap between sexes in the urban labour market is verified among the regular and casual workers over a period of two decades (1993–1994 to 2011–2012). Using Blinder–Oaxaca decomposition as well as Recentered Influence Function (RIF) quintile decomposition analysis, it is observed that there is a male bias in wages in both the categories, namely, regular and casual workers. Female workers are also at a disadvantaged position via-a-vis male counterparts, and there is considerable disparity exists with regards to employment and earning standard between sexes. The decomposition exercise shows that the role of the discrimination component effect is larger than that of the endowment component across the regular and casual workers. Controlling for characteristic homogeneity, it is observed that female workers have a systematic wage disadvantage against their male counterparts in the urban labour market of India.

Suggested Citation

  • Balakarushna Padhi & Udaya S. Mishra & Urmi Pattanayak, 2019. "Gender-Based Wage Discrimination in Indian Urban Labour Market: An Assessment," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(3), pages 361-388, September.
    • Handle: RePEc:spr:ijlaec:v:62:y:2019:i:3:d:10.1007_s41027-019-00175-8
    DOI: 10.1007/s41027-019-00175-8
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    References listed on IDEAS

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    Cited by:

    1. Satinder Singh & J. K. Parida & I. C. Awasthi, 0. "Employability and Earning Differentials Among Technically and Vocationally Trained Youth in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 0, pages 1-24.
    2. Satinder Singh & Jatinder Singh, 2022. "Employment Scenario in Indian Punjab: Some Disquieting Features," Journal of Development Policy and Practice, , vol. 7(2), pages 158-179, July.
    3. Satinder Singh & J. K. Parida & I. C. Awasthi, 2020. "Employability and Earning Differentials Among Technically and Vocationally Trained Youth in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(2), pages 363-386, June.
    4. Mohamed Saalim & Sobin George, 2021. "Determinants of Wage Differentials Among In-Migrant Workers: Insights from a Primary Study Conducted in Kozhikode District, Kerala, India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(4), pages 981-997, December.
    5. Gupta, Pallavi & Kothe, Satyanarayan, 2021. "Gender Discrimination and the Biased Indian Labour Market: Evidence from the National Sample Survey," MPRA Paper 110205, University Library of Munich, Germany.
    6. Satinder Singh & Jajati K. Parida, 2022. "Employment and Earning Differentials Among Vocationally Trained Youth: Evidence from field studies in Punjab and Haryana in India," Millennial Asia, , vol. 13(1), pages 142-172, April.
    7. Jajati K. Parida & Merry Elizabeth John & Justin Sunny, 2020. "Construction labour migrants and wage inequality in Kerala," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(2), pages 414-442, December.
    8. Mohanty, Smrutirekha, 2021. "A distributional analysis of the gender wage gap among technical degree and diploma holders in urban India," International Journal of Educational Development, Elsevier, vol. 80(C).

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