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Gender Wage Gap: Some Recent Evidences from India

Author

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  • Somasree Poddar

    (Lady Brabourne College)

  • Ishita Mukhopadhyay

    (University of Calcutta)

Abstract

Gender wage inequality is a chronic socioeconomic malice in developed as well as in developing countries. This paper describes the outcomes of our study on the estimation of gender wage gap in the Indian labour market, using the 68th Round NSSO employment–unemployment data. The study uses Blinder–Oaxaca decomposition technique and Heckman two-step methodology, for removal of selectivity bias in the sample data, to measure the components of total gender wage gap, viz. (1) occupational segregation (explained by economic rationale) and (2) direct discrimination (not explained by economic rationale). The analysis indicates that the maximum direct discrimination is for job-related factors, such as industry type which are controlled by employers. The majority of the Indian employers today are men, which may be the reason for the insensitivity to the chronic direct discrimination against women in workplaces. The study also indicates that most of the explained gender wage gap is due to lower skill and experience amongst women. The findings suggest that besides labour law reforms for ensuring gender neutrality in workplaces, focused government policies for promoting women entrepreneurship and skill development of women are urgently required for reducing the gender wage gap in India.

Suggested Citation

  • Somasree Poddar & Ishita Mukhopadhyay, 2019. "Gender Wage Gap: Some Recent Evidences from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(1), pages 121-151, March.
    • Handle: RePEc:spr:jqecon:v:17:y:2019:i:1:d:10.1007_s40953-018-0124-9
    DOI: 10.1007/s40953-018-0124-9
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    Cited by:

    1. Shiba Shankar Pattayat & Jajati Keshari Parida & Kirtti Ranjan Paltasingh, 2023. "Gender Wage Gap among Rural Non-farm Sector Employees in India: Evidence from Nationally Representative Survey," Review of Development and Change, , vol. 28(1), pages 22-44, June.
    2. Chen, Yutong, 2024. "Does the gig economy discriminate against women? Evidence from physicians in China," Journal of Development Economics, Elsevier, vol. 169(C).
    3. Pallavi Gupta & Satyanarayan Kothe, 2021. "Interpreting the Caste-based Earning Gaps in the Indian Labour Market: Theil and Oaxaca Decomposition Analysis," Papers 2110.06822, arXiv.org.

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    More about this item

    Keywords

    Gender wage gap; Discrimination; Blinder–Oaxaca decomposition; India;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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