An Analysis of Wage Determinants and Gender Wage Inequality in the Daily Labor Market of Bangladesh: A Quantile Regression Approach

This study investigates wage determination and gender-based wage disparities in Bangladesh's daily labor market using HIES 2010 and 2016 datasets and OLS and Quantile Regression methods. Results reveal a substantial gender wage gap, with females earning 22.9% less than males in 2010, increasing to 62.2% in 2016. The gap lessens across quantiles, indicating a sticky floor effect in both years. Various determinants, including human capital and social factors, affect wages differently. Policy implications underscore the need for equal pay advocacy, shared familial responsibilities, and targeted interventions to rectify gender-based wage disparities. The study offers nuanced insights crucial for fostering an equitable daily labor market in Bangladesh.