Özet:

Wages in the labor market are determined by many factors. The objective of this paper is to examine the determinants of monthly wages for full-time workers in Turkey using data from the 2014-2018 Household Labor Force Survey. The final sample included 149,991 full-time workers. The monthly wage was the dependent variable. Individual (including gender, age, marital status, education and work experience), and labor market indicators (including occupation, firm size, position status, social security registration, and weekly working hours) were the independent variables. Hierarchical regression analysis revealed that individual variables were the most significant predictors of monthly wages. They accounted for 17.4 percent of the variance in wages. Moreover; 9.4% of the variance in wages were explained by labor market variables. All predictors together explained 53.6% percent of the variance in wages. Another finding was that monthly wages showed a relatively strong correlation with education, occupation, and firm you. Finally, there were significant gender differences in wages, with female managers earning 8.8 percent more than their male counterparts. The difference was 4.5 percent in favor of women in the full sample.

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