The regression output of the following three models is the same:
- probit depvar i.ntype covariate1 i.covariate2 i.covariate3, cl(cluster_var)
- probit depvar typeB typeC typeD covariate1 i.covariate2 i.covariate3, cl(cluster_var)
- probit depvar i.typeB i.typeC i.typeD covariate1 i.covariate2 i.covariate3, cl(cluster_var)
Why are the average marginal effects different? What is the correct way to treat this variable if I am interested in average marginal effects?
Additionally, later in my analysis, I will need to include complete interaction effects between "type" and a continuous variable in my dataset ("employment"), and I will need to view these marginal effects, as well.
Thanks in advance!
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