Feminización y diferencias salariales en Uruguay en el período 1986-1997
Maximo Rossi () and
Additional contact information
Cecilia González: Departamento de Economía, Facultad de Ciencias Sociales, Universidad de la República
No 407, Documentos de Trabajo (working papers) from Department of Economics - dECON
In this paper we contrast the Concentration Hypothesis developed by Bergmann (1971 and 1974) for the 1986-1997 period. This “hypothesis” maintain that women concentration in a few occupations caused by discrimination, produce a decrease in wages of all individuals in these occupations. Also, we make the Macpherson and Hirsch (1995) decomposition of wages differences to obtain the share of discrimination and no-discrimination components in the wage difference obtained. The results show that female concentration affects all individuals in one occupation, but women are the most affected since female wages decreased more than male wages in the “female” occupations. The wage differential decomposition shows that gender difference was decreased in the period. However, is the non discriminatory component which contributes to a less difference, whereas the discriminatory component increases during the period. In special, the feminization is the part of the wage differential that rises.
Keywords: wage differentials; labor discrimination (search for similar items in EconPapers)
JEL-codes: J31 J71 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-lab
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://cienciassociales.edu.uy/departamentodeecono ... 13/archivos/0407.pdf (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:ude:wpaper:0407
Access Statistics for this paper
More papers in Documentos de Trabajo (working papers) from Department of Economics - dECON Contact information at EDIRC.
Series data maintained by Andrea Doneschi ().