Van den Hout, Tan 2019

Statistical Modelling 19 (3) (2019), 323–338

Flexible parametric multistate modelling of employment history

Ardo van den Hout
Department of Statistical Science,
University College London,
London,
UK.
e-mail: ardo.vandenhout@ucl.ac.uk

Wenhui Tan
Department of Statistical Science,
University College London,
London,
UK.

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.

Keywords:

demography; frailty model; generalized gamma distribution; Gompertz distribution; Markov process; survival analysis.

Downloads:

Example data and code in zipped archive.

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