Flexible parametric multistate modelling of employment history. (June 2019)

• Record Type: Journal Article
• Authors: Hout, Ardo van den; Tan, Wenhui
• Other Names: Gampe Jutta guest-editor.; Camarda Carlo Giovanni guest-editor.
• Is Part Of: Statistical modelling. Volume 19:Number 3(2019)
• Page Start: 323
• Page End: 338
• Publication Date: 2019-06
• Subjects: demography -- frailty model -- generalized gamma distribution -- Gompertz distribution -- Markov process -- survival analysis; Linear models (Statistics) -- Periodicals; Mathematical models -- Periodicals; Modèles linéaires (Statistique) -- Périodiques; Modèles mathématiques -- Périodiques; Modèle statistique; Modèle linéaire; Modélisation statistique; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 519.5011
• DOI: 10.1177/1471082X19836299
• Languages: English
• ISSNs: 1471-082X

Abstract

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.