The gender wage gap in India: a quantile regression analysis of discrimination and the sticky floor effects
摘要
This study investigates the gender wage gap in India, using data from the 2011–2012 Indian Human Development Survey (IHDS), focusing on differences across regular and casual employment sectors. Through quantile regression and Oaxaca–Blinder decomposition, the analysis reveals a pronounced gender wage gap in both sectors, with a “sticky floor” effect evident at lower quantiles and a notable reduction in discrimination towards higher quantiles. The unexplained component attributed to discrimination is significantly higher in regular employment compared to casual employment. Additionally, a “marital penalty” exists for women, contrasting with a “marital premium” for men. The study also identifies substantial caste-based wage disparities that vary by employment type and region, particularly impacting casual workers in urban markets. Regional analysis shows that the gender pay gap is highest in Central India for regular employment and Northern India for casual employment, while Northeast India exhibits the smallest gender pay gap in both sectors. These findings highlight the need for targeted policy interventions to address gender and caste-based wage inequities, with particular attention to the lower end of the wage distribution.