Van Den Hout, A;
Tan, W;
(2019)
Flexible parametric multi-state modelling of employment history.
Statistical Modelling: an international journal
, 19
(3)
pp. 323-338.
10.1177/1471082X19836299.
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Abstract
A multi-state model is used to describe employment history. Transitionspecific rates are defined using generalised 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
| Type: | Article |
|---|---|
| Title: | Flexible parametric multi-state modelling of employment history |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/1471082X19836299 |
| Publisher version: | https://doi.org/10.1177/1471082X19836299 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | demography; frailty model; generalised gamma distribution; Gompertz distribution; Markov process; survival analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10068121 |
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