This is perhaps a very simple problem (hope so), but ...anyway:
I am fitting a multinomial logit model. The response variable has
four values. The very idea is to compare different groups. The qualitative
variables included in the model and the group -variable are coded into
The values of the response variable are labour market states and
the question in the study is to compare the effects of different
The basic syntax is (in UNIX -environment):
proc catmod data=data1;
direct var1 var2 var3 ... group;
model x=var1 var2 var3 ... group;
So I get the model as parameter estimates etc. I also get a data set
(data2), which contains the predicted probabilities (as frequencies)
for each combination of the regressor values.
If I want to present results which tell the model-based probabilities
among different groups _when the effects of other variables are being
held constant_, how should I simulate/estimate/calculate those "clean"