This paper examines the sources of the gender wage gap in the Turkish labor market by using matched employer-employee data and the standard wage regression estimations as well as the Oaxaca decomposition method. The extensive number of variables in the data set enables a thorough quantitative analysis of the role of various individual- as well as firm-related factors leading to wage differentials between men and women, namely human capital endowments including job tenure, occupational and industrial segregation, private/public sector location, coverage of the workplace under collective labor bargaining, and firm size. It also examines the extent of gender-based industry and occupational segregation within the confines of data set and computes the Duncan & Duncan segregation index. We find that a large portion of the gender wage gap is attributable to women's considerably lower levels of work experience and job tenure. Other important variables that lead to pay differentials are women's lower concentration in jobs covered by collective labor bargaining and a substantial degree of occupational and industrial segregation. The differential rates of return to many of the wage determinant variables are also found to be significant in the formation of the gender wage gap. Copyright 2007 The Authors; Journal compilation 2007 CEIS, Fondazione Giacomo Brodolini and Blackwell Publishing Ltd..

This paper presents an empirical estimation of the correlation between wages and regional unemployment rates in Turkey, more specifically it explores the role of regional unemployment rates in wage determination. The analysis builds upon a series of recent empirical studies on the wage-unemployment relationship, now commonly known as 'the wage curve', a downward sloping curve in wage-unemployment space. The existing studies are for most part in advanced market economies, while this paper presents one of the few attempts at a wage curve analysis within the context of a developing market economy. A cross-sectional estimation of micro level individual wage data for the Turkish labour market in 1994, suggest a statistically significant negative correlation between wages and regional unemployment rates. Separate regressions for men and women, however, show a wage curve to exist only in the male labour market. The study also presents the results on other variables of wage determination such as returns to schooling, returns to age, job tenure, gender, industrial and occupational affiliation of the worker, economic sector and union status.

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.

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