Hi all,

I'm working with a panel data set which contains many missing values for demographic variable (e.g. mortality rates, life expectancy, etc). Some of them will be modeled as outcome variables. As it is well know, they are not missing at random, mostly concentrating around poor and non-democratic countries. Thus I am assuming I have to model the missing process or at least provide some information such as the mean of the missing data should lower or higher for a particular set of countries. I have seen that I can provide some prior for the imputation procedure in your software but I not sure whether this is an explicit model of the non-ignorable process. Any suggestions?

Congratulations on your amazing software!

Help and advice really appreciated,

Antonio.