Panel Estimates of Male and Female Job Turnover Behavior: Can Female Nonquitters be Identified?
利用全国纵向调查数据，估计比例风险模型，探究雇主识别女性非自愿离职者是否比男性更难。发现整体样本中女性因未观测因素更可能流动，但聚焦较新出生队列时，女性非自愿离职者不再难识别。
Using National Longitudinal Survey data, the authors estimate proportional hazard models in order to learn whether it is more difficult for employers to identify female nonquitters than male nonquitters. They find that women may be a higher risk than men in the overall sample because they are more likely to be "movers" for unobserved reasons. When the authors focus on a relatively recent birth cohort, however, they find that it is no longer difficult to identify female nonquitters. Unobserved heterogeneity becomes an insignificant factor among women and virtually all determinants of turnover are observable at the time of hire. Copyright 1992 by University of Chicago Press.