| ID | 165370 |
| Title Proper | Male–Female Wage Gap and Informal Employment in Bangladesh |
| Other Title Information | A Quantile Regression Approach |
| Language | ENG |
| Author | Rahman, Mustafizur |
| Summary / Abstract (Note) | This article undertakes an examination of Bangladesh’s latest available Quarterly Labour Force Survey 2015–2016 data to draw in-depth insights on gender wage gap and wage discrimination in Bangladesh labour market. The mean wage decomposition shows that on average a woman in Bangladesh earns 12.2 per cent lower wage than a man, and about half of the wage gap can be explained by labour market discrimination against women. Quantile counterfactual decomposition shows that women are subject to higher wage penalty at the lower deciles of the wage distribution with the wage gap varying between 8.3 per cent and 19.4 per cent at different deciles. We have found that at lower deciles, a significant part of the gender wage gap is on account of the relatively larger presence of informal employment. Conditional quantile estimates further reveal that formally employed female workers earn higher wage than their male counterparts at the first decile but suffer from wage penalty at the top deciles. |
| `In' analytical Note | South Asia Economic Journal Vol. 20, No.1; Mar 2019: p.106-123 |
| Journal Source | South Asia Economic Journal 2019-06 20, 1 |
| Key Words | Quantile Regression ; Quantile Decomposition ; Gender Wage Gap ; Informal Employment ; Oaxaca–Blinder Decomposition |