Dear Clarify Support, I would be very grateful if you could offer advice on the following problem. I cannot figure out how to get clarify to return expected values for a simple model with an interaction term. I am modeling government responsiveness (continuous, [0,1]) as a function of a competitive electoral environment (a dummy, 1=competitive) and literacy (continuous, [0,1]). Each observation is a municipality. I expect both variables to have a positive effect on responsiveness; but I also expect literacy to have a greater effect when coupled with electoral competition, so I interact the two variables. The Clarify documentation explains how to hold this interaction term at its median, while simulating other values of interest. But I need to manipulate the interaction term itself. I'm trying to produce two variables: one is the expected value of responsiveness when competition=0, and another when competition=1. For the first variable, the setx command provides an easy solution: local a=1 while `a'<=99 { setx competition 0 literacy p`a' interaction 0 simqi .... genev .... -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.hmdc.harvard.edu/?info=clarify