Determinants of Voluntary Job-to-Job Mobility
This paper explores both observable and unobservable variables that would affect employed workers’ decisions on job change. A survey was conducted through one-to-one interviews, and the sample consists of 965 full-time employed workers. The logistic regression models are employed to analyze the two...
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sg-smu-ink.soe_research-16852019-05-20T03:53:12Z Determinants of Voluntary Job-to-Job Mobility XING, Xiaolin YANG, Zhenlin This paper explores both observable and unobservable variables that would affect employed workers’ decisions on job change. A survey was conducted through one-to-one interviews, and the sample consists of 965 full-time employed workers. The logistic regression models are employed to analyze the two binary measures of job-to-job mobility: i) whether an individual is considering a job change, and ii) whether an individual is actively looking for another job. We find that age, job satisfaction, satisfaction with working environment or job security, and firm size are among the major factors determining workers’ job-to-job mobility. Younger workers and workers in smaller firms are more mobile. Workers with lower level of job satisfaction are more likely to consider a change in employment and to actively look for other jobs, and so are workers with lower level of satisfaction with their working environment or job security. We also find that men are more likely to consider a change in job than women, but when actually looking for another job is concerned, men and women do not differ. Furthermore, monthly income and working sector contribute significantly to looking for other jobs but not to considering job change. 2003-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/686 https://ink.library.smu.edu.sg/context/soe_research/article/1685/viewcontent/Jobtojob.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Econometrics Labor Economics |
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Econometrics Labor Economics XING, Xiaolin YANG, Zhenlin Determinants of Voluntary Job-to-Job Mobility |
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This paper explores both observable and unobservable variables that would affect employed workers’ decisions on job change. A survey was conducted through one-to-one interviews, and the sample consists of 965 full-time employed workers. The logistic regression models are employed to analyze the two binary measures of job-to-job mobility: i) whether an individual is considering a job change, and ii) whether an individual is actively looking for another job. We find that age, job satisfaction, satisfaction with working environment or job security, and firm size are among the major factors determining workers’ job-to-job mobility. Younger workers and workers in smaller firms are more mobile. Workers with lower level of job satisfaction are more likely to consider a change in employment and to actively look for other jobs, and so are workers with lower level of satisfaction with their working environment or job security. We also find that men are more likely to consider a change in job than women, but when actually looking for another job is concerned, men and women do not differ. Furthermore, monthly income and working sector contribute significantly to looking for other jobs but not to considering job change. |
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text |
author |
XING, Xiaolin YANG, Zhenlin |
author_facet |
XING, Xiaolin YANG, Zhenlin |
author_sort |
XING, Xiaolin |
title |
Determinants of Voluntary Job-to-Job Mobility |
title_short |
Determinants of Voluntary Job-to-Job Mobility |
title_full |
Determinants of Voluntary Job-to-Job Mobility |
title_fullStr |
Determinants of Voluntary Job-to-Job Mobility |
title_full_unstemmed |
Determinants of Voluntary Job-to-Job Mobility |
title_sort |
determinants of voluntary job-to-job mobility |
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Institutional Knowledge at Singapore Management University |
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2003 |
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https://ink.library.smu.edu.sg/soe_research/686 https://ink.library.smu.edu.sg/context/soe_research/article/1685/viewcontent/Jobtojob.pdf |
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