Panel Estimates of Males and Female Job Turnover Behavior: Can Female Nonquitters Be Identified?

National Longitudinal Surveys of Labor Market Experience data are used to estimate proportional hazard models in order to learn whether it is more difficult for employers to identify female nonquitters than male nonquitters. The models are first estimated using only variables that employers can obse...

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Bibliographic Details
Published in:Journal of labor economics 1992-04, Vol.10 (2), p.156
Main Authors: Light, Audrey, Ureta, Manuelita
Format: Article
Language:English
Subjects:
Economic models
Employee turnover
Labor economics
Men
Probability
Statistical analysis
Women
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Summary:National Longitudinal Surveys of Labor Market Experience data are used to estimate proportional hazard models in order to learn whether it is more difficult for employers to identify female nonquitters than male nonquitters. The models are first estimated using only variables that employers can observe at the time of hire, such as race and employment history; then, the models are reestimated after adding controls for the presence of young children and changes in marital status. It is found that women may be a higher risk than men in the overall sample because they are more likely to be "movers" for unobserved reasons. It is also shown that nonquitters can be identified equally well among men and women when the applicant pool consists of workers born in (or, presumably, after) the early 1950s.
ISSN:0734-306X
1537-5307