This is the repository for the English version of the Future Elderly Model, originally developed at the Leonard D. Schaeffer Center for Health Policy and Microsimulation.
This shows that prevalence of employment drops to very low over time (4% by end of sim). This is too low to be accounted for by people living longer and having more retired people, so I need to figure out why this is.
Maybe this would be a good place to try out a 2 step model, where 50-65 year olds have one model which decides between employed and inactive, and another model for the 65+ which includes retired. Think I'm going to make this an issue in itself.
For the 2 step model, we need a working_age_workstat predictor that uses the sample aged 50-64, and a retirement age model for 65+. Try this first with all 3 outcomes available to both models and see if this keeps more people in employment.
Maybe this would be a good place to try out a 2 step model, where 50-65 year olds have one model which decides between employed and inactive, and another model for the 65+ which includes retired. Think I'm going to make this an issue in itself.
_Originally posted by @ld-archer in https://github.com/ld-archer/E_FEM/issues/80#issuecomment-1441862196_
For the 2 step model, we need a working_age_workstat predictor that uses the sample aged 50-64, and a retirement age model for 65+. Try this first with all 3 outcomes available to both models and see if this keeps more people in employment.