st: Mixed logit estimation with mixlogit

[Tunga Kantarcı <tungakantarci@gmail.com>]

Hello,

I have a random utility model where the coefficients are treated
random. That is, U = alfa + beta * X + U is a random utility model
where alfa and beta are treated as "random" coefficients which depend
on "observed" and "unobserved" characteristics. This leads to a mixed
logit model that needs to be estimated using maximum simulated
likelihood. I have read Arne Risa Hole's "Fitting mixed logit models
using maximum simulated likelihood" in The Stata Journal, 2007, 7 (3),
388-401. It seemed to me that the mixlogit package can handle my
estimation. However, a first question I have is the following: In the
article, the random coefficient is treated "unobserved". In my model,
the random coefficient (beta above) depends on observed as well as
unobserved characteristics. It looks like I cannot specify that the
random coefficient depends on observed characteristics in the mixlogit
syntax.

Would it be possible to specify that my random coefficients depend on
observed and unobserved characteristics prior and still make use of
the mixlogit procedure?

Thanks,
Tunga
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