Purpose- To analyze the gender wage gap in Turkey and examine the differences by regions.
Methodology- Descriptive statistics, regression analyses by using household labor force survey of TURKSTAT of 2015 and Oaxaca decomposition analysis.
Findings- We use monthly salary as dependent variable; age of employee, years of schooling, experience, gender as independent variables to estimate the standard mincer wage equation (1974), then model is expanded by adding new variables such as firm size, regional dummies and occupations. By using expanded model, we run Oaxaca decomposition method to calculate the effect of gender discrimination and differences in human capital and occupational characteristics in wages.
Conclusion- We find significant effect of human capital variables on monthly salary, and there are significant differences in wages with respect to regions, gender and occupational characteristics. According to the Oaxaca decomposition method, despite the fact that women's human capital is better than men's, it is not enough to finish the wage inequality.
Primary Language | Turkish |
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Journal Section | Articles |
Authors | |
Publication Date | September 1, 2018 |
Published in Issue | Year 2018 |
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