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.