Dear all,
There were some questions about non convergence with mlogit in this forum.
Strangely, I am having this non convergenence problem with logit in the imputation model.
No matter what variables I drop, even when I am only having one binary variable to impute, there will be no convergence with logit which I don't understand why!
I have panel data with refereshment samples.
This is the code I am using:
I can give some data if needed (I am not putting it now since it is confidential).
Any ideas why is this happening please?
Thank you!
There were some questions about non convergence with mlogit in this forum.
Strangely, I am having this non convergenence problem with logit in the imputation model.
No matter what variables I drop, even when I am only having one binary variable to impute, there will be no convergence with logit which I don't understand why!
I have panel data with refereshment samples.
This is the code I am using:
Code:
mi impute chained (regress) Y1* Y2* (logit) X1* = X2* X3* , add(20) augment noisily showcommand rseed (12345687)
Any ideas why is this happening please?
Thank you!
