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Gender Pay Gap in India: A Reality and the Way Forward—An Empirical Approach Using Quantile Regression Technique

Author

Listed:
  • Pooja Sengupta
  • Roma Puri
Abstract
There is a growing body of empirical work on gender studies that mostly focus on the gender-wise representation of individuals in different sectors. One such study is the wage gap attributed to gender. In this article, we have tried to focus on a detailed study of the gender wage gap in the Indian context. The study was carried out on the most recent Employment–Unemployment Survey carried out by NSS for the year 2012. The study was based on the personal characteristics as well as the characteristics of the job undertaken by the employees. Ordinary least square regression and linear quartile regression model were used for analysis. In our study we have come up with a few interesting determinants of wage inequality based mostly on the personal traits. For women, personal characteristic like age was highly significant determinant of wage whereas in case of men more industry specific determinants were significant. JEL Classifications: C01, C10, J16, J31

Suggested Citation

  • Pooja Sengupta & Roma Puri, 2022. "Gender Pay Gap in India: A Reality and the Way Forward—An Empirical Approach Using Quantile Regression Technique," Studies in Microeconomics, , vol. 10(1), pages 50-81, June.
    • Handle: RePEc:sae:miceco:v:10:y:2022:i:1:p:50-81
    DOI: 10.1177/2321022221995674
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Wage inequality; ordinary least square regression; quantile regression; glass ceiling; sticky floor; Oaxaca & Blinder decomposition;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - 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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