Dear Professor,there are 5 shocks in my model,and I’d like to use Bayesian estimation to estimiate parameters.Now I have collected data of 5 observed variables. But there are two observed variables with missing data.
My questions are:
whether I can still use observed variables with missing values
whether I can use exogenous variables as observed variables
I would appreciate your help very much!
In fact, the aging shock is introduced into my model, and the aging shock will lead to a decrease in the young labor force. The labor supply in this case refers to the decrease in the working-age population, so I am wondering whether the working-age population can be used as the observation variable. Hope to get your advice.Thank you in advance.
model1.mod (2.2 KB)
Thank you for your reply, Professor.Attached is the model code.“lt” represents the labor supply shock caused by aging , following the AR (1) process.Next I intend to do Bayesian estimation. Now I have the working-age population. Can I use the working-age population as the observed variable of “lt”? Thank you again for your repeated help!
Normally that should be feasible. But only you can judge whether the model concept lt in equilibrium coincides with the working age population (appropriately detrended).