Abstract A multistate model is used to describe employment history. Transition-specific rates are defined using generalized gamma distributions and Gompertz distributions. This flexible parametric modelling of the rate of change is combined with latent classes for unobserved propensity to change jobs. The propensity is described by two latent classes which can be interpreted as consisting of movers and stayers. The modelling is illustrated by analysing longitudinal data from the German Life History Study.

中文翻译：

---

就业历史的灵活参数多态建模

摘要 一个多状态模型用于描述就业历史。特定于转换的速率是使用广义伽马分布和 Gompertz 分布定义的。这种对变化率的灵活参数化建模与潜在类别相结合，用于未观察到的换工作倾向。倾向由两个潜在类别描述，可以解释为由移动者和停留者组成。该模型通过分析德国生活史研究的纵向数据来说明。