Age dependant rewards
Dear Friends,
How can I add productivity loss (job salary lost) that depends on age of the peple in markov model. People should incur productivity loss till 65 years old (retirement age). Cohort runs till the age of 84 years old.
Thank you,
Best Regards,
Masnoon
Comments
There are several steps needed to achieve this.
startAge = 50
age = startAge + _stage (for an annual cycle)
It is unclear how you would want to handle a Dead state where salary is lost for all years after death.
Andrew
Hi Andrew,
How to handle a Dead state when calculating indirect costs associated with premature death is my question. I have a table of age specific weekly pay. Is there a function or formula I can use to calculate salary lost for all years after death with different weekly pay at every age bracket. The formula I used is not working " tWeeklypay[age]*52*(100-age)*(1-tUnemploymentRate[age])". I want the weekly pay to vary at different.
Many thanks for your help.
Best regards,
Bing
Sorry, a typo - I mean "I want the weekly pay to vary at different age". Thanks. Bing
You could create a Dead state that is not actually a terminal node absorbing state. Instead, make it a label node with a single branch that sends the cohort back to the same Dead state.
You could then accumulate the lost salary for all years from death to age 65 in that Dead state.
Many thanks Andrew for your reply.
Just one more question. How can we set in Treeage that only certain percentage of cohort is employed (e.g. 70% are working in cohort, rest are unemployed). Those who are working only have productivity losses before they reach age of retirement.
Thanks again!
Best Regards,
Masnoon
I can't really say where it is best to do that in the model, but you could have different states (alive and dead) for employed vs. unemployed.
Alternatively, and maybe more easily, you could just add a parameter for employed_pct and multiply the wages by that employment_pct to reduce the overall impact for unemployment.
Thanks a lot Andrew!
Thank you so much, Andrew. It works very well:-)
Happy to help.
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