Decomposing Gender Wage Differentials Using Quantile Regression: Evidence from the Lebanese Banking Sector
Abdallah Dah and
Ali Fakih ()
International Advances in Economic Research, 2016, vol. 22, issue 2, No 4, 185 pages
Abstract This paper investigates gender pay inequality in the labor market of a developing country. Our empirical investigation uses data derived from a sample of employees in the Lebanese banking sector for the years 2008 and 2014. Using Blinder-Oaxaca decomposition, the results reveal that the unexplained component of the gender wage gap, attributed to discrimination, represents a substantial share of the total gap. A surprising result is that the contribution of human capital to the gender wage gap is negative, suggesting that wage discrimination is the main explanation for the gap. Utilizing the Machado-Mata methodology to decompose the wage gap across the entire wage distribution, our findings indicate that the unexplained component of the raw gender wage gap is more pronounced at the low and middle ranges of the distribution. However, the explained component dominates at the top of the distribution, suggesting that earnings gaps are fully explained by observed characteristics.
Keywords: Gender wage inequality; Wage decomposition; Quantile regression; Lebanon; J16; J31; J71; C21 (search for similar items in EconPapers)
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