Gender Effect in Explaining Mobility Patterns in the Labor Market: a Case Study of Turkey

Abstract

This paper examines the importance of gender for different job mobility patterns using an extensive household survey data from zmir, the third largest city in Turkey. The determinants of job-to-job and job-to-nonemployment transitions are analyzed with the help of a multinomial logit estimation method. The results indicate that there is a distinction regarding the probability of job mobility patterns based on gender. It is more likely for women to be engaged in job-to-nonemployment transition, whereas men tend to change jobs more often. Although gender plays a significant role in job mobility patterns, traditionally imposed social constraints associated with childcare and household duties provide us with mixed results considering the behavior of women in the job market. On the other hand, having highly paid and secure jobs decreases the probability of both patterns of job mobility.