Wage inequality in Bangladesh, 2000–2010: an unconditional quantile regression decomposition

Mohammad Jahangir Alam, Thomas Kloepfer and Shinji Kaneko

Asia-Pacific Journal of Accounting & Economics, 2021, vol. 28, issue 4, 507-524

Abstract: This paper reports on an investigation into changes in wage inequality in Bangladesh between 2000 and 2010, based on gender, marital status, education, job industry, job sector, location, etc. The 2000 and 2010 Labour Force Surveys conducted by the Bangladesh Bureau of Statistics (BBS) provided the data used. Oaxaca–Blinder’s (1973) decomposition and regression of the (recentered) influence function (RIF) model of Firpo–Fortin–Lemieux (FFL)’s (2007) decomposition were used to identify the important factors that caused wage inequality in Bangladesh. Both methods showed that the coefficient effect is the main contributor to the overall increase in wage inequality.

Date: 2021
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DOI: 10.1080/16081625.2019.1600420

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