Dear Grelt list members,

I run a random effects probit regression and was wondering, why the output displays p-values, though the –p-values option was not selected. When I estimate the model as a pooled (panel) probit, then Gretl displays the slopes, which corresponds to the command description.

Is there another option (accessor variable, etc.) which enables one to retrieve the average marginal effects – averaged over each entity and instead of evaluating the effects at the average of the independent variables? I ask because I am using some binary independent variables, and evaluating the marginal effects at some value in between would not make much sense for these variables.

FYI the LR test that tests Ho: rho=0 is rejected with a p-value   0.000173

Thanks in advance.

Jan