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

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  • Mohammad Jahangir Alam
  • Thomas Kloepfer
  • Shinji Kaneko

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.

Suggested Citation

  • Mohammad Jahangir Alam & Thomas Kloepfer & Shinji Kaneko, 2021. "Wage inequality in Bangladesh, 2000–2010: an unconditional quantile regression decomposition," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 28(4), pages 507-524, July.
    • Handle: RePEc:taf:raaexx:v:28:y:2021:i:4:p:507-524
    DOI: 10.1080/16081625.2019.1600420
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