Decomposing Gender Wage Differentials Using Quantile Regression

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dc.contributor.author Dah, Abdallah en_US
dc.contributor.author Fakih, Ali en_US
dc.date.accessioned 2016-05-19T07:36:21Z en_US
dc.date.available 2016-05-19T07:36:21Z en_US
dc.date.copyright 2016 en_US
dc.date.issued 2016-05-19
dc.identifier.issn 1083-0898 en_US
dc.identifier.uri http://hdl.handle.net/10725/3837 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.title Decomposing Gender Wage Differentials Using Quantile Regression en_US
dc.type Article en_US
dc.description.version Published en_US
dc.title.subtitle Evidence from the Lebanese Banking Sector en_US
dc.author.school SOB en_US
dc.author.idnumber 198929040 en_US
dc.author.idnumber 201105198 en_US
dc.author.department Department of Economics (ECON) en_US
dc.description.embargo N/A en_US
dc.relation.journal International Advances in Economic Research en_US
dc.article.pages 171-185 en_US
dc.keywords Gender wage inequality en_US
dc.keywords Wage decomposition en_US
dc.keywords Quantile regression en_US
dc.keywords Lebanon en_US
dc.identifier.doi http://dx.doi.org/10.1007/s11294-016-9574-z en_US
dc.identifier.ctation Dah, A., & Fakih, A. (2016). Decomposing Gender Wage Differentials Using Quantile Regression: Evidence from the Lebanese Banking Sector. International Advances in Economic Research, 1-15. en_US
dc.author.email aadah@lau.edu.lb en_US
dc.author.email AFakih@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://link.springer.com/article/10.1007/s11294-016-9574-z en_US
dc.orcid.id https://orcid.org/0000-0002-8562-3308 en_US
dc.orcid.id https://orcid.org/0000-0001-9133-5508 en_US

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