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This study aims to analyze gender differences in wages, social support, and job satisfaction in the public sector. From the 5th Korean Working Conditions Survey data, 2046 subjects were selected as public sector workers. This study analyzed gender differences in the relationships by stepwise regression analysis and mediation model. The results showed that wages were directly affected by education level, followed by work experience and working hours. Also, there were significant gender difference relationships, and males’ wages increased faster than females as education level increased. The social support of females is higher than that of males regardless of wages or educational level, and it is more influenced by the level of education than that of wages. However, there was no gender difference in the regression equation of social support and wage on job satisfaction. Bridging gender gaps in the workplace is a crucial component of inclusive and sustainable growth. This study substantially contributes to the existing knowledge of gender differences, such as regression analysis and new findings.

Gender Differences in Wage, Social Support, and Job Satisfaction of Public Sector Employees