Decomposition of gender wage differentials in Iran: an empirical study based on household survey data
Seyed Moaven Razavi and
Nader Habibi ()
Journal of Developing Areas, 2014, vol. 48, issue 2, 185-204
Abstract:
In this study we investigate the magnitude of wage discrimination against women in the Iranian labor market by decomposing the male-female wage differential into differences in human capital and wage discrimination. We use the Oaxaca decomposition model in our econometric investigation. In our empirical analysis we use Iranís Household Expenditure and Household Survey (HEIS) data for years 2002 and 2005. Our descriptive analysis suggested a generally low participation of women in labor market in both years. The Oaxaca decomposition model results suggest that in both, public and private, sectors a significant share of wage differentials is attributable to discrimination. Furthermore the gender difference in the quality of labor force (human capital) is estimated to be approximately equal and in some cases even superior for women. Oaxaca decomposition for separate skill categories suggests that wage discrimination for specialists and scientists category is relatively smaller than for less skilled employees.
Keywords: Wage Discrimination; Wage; Iran; Labor; Oaxaca Decomposition; and Gender Discrimination (search for similar items in EconPapers)
JEL-codes: J16 J31 J71 O15 (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://muse.jhu.edu/journals/journal_of_developing_areas/v048/48.2.razavi.html
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jda:journl:vol.48:year:2014:issue2:pp185-204
Access Statistics for this article
More articles in Journal of Developing Areas from Tennessee State University, College of Business Contact information at EDIRC.
Bibliographic data for series maintained by Abu N.M. Wahid ().