Re: st: mixlogit intercepts and correlation with other random coefficients

[Arne Risa Hole <arnehole@gmail.com>]

AS

Firstly, note that the Statalist FAQ requests that posters use their
full name. See below for some responses to your questions.

> 1. Does -mixlogit- include an intercept term? A thread
> (http://statalist.1588530.n2.nabble.com/intercept-in-mixedlogit-td5140304.html)
> suggests that it does not. However, upon explicitly including a vector
> of 1s to estimate an intercept term, I receive the following error
> (NB: I am using Stata 12.1):
>
> "Some variables are collinear - check your model specification
> r(498);"
>
> I am able to use the official -mlogit- command with a vector of 1s
> (and option "noconstant") without this issue. And, I can run the
> following without an explicit intercept term without any issues:
>
> mixlogit value sw ne co, group(chid) id(subject) rand(es eswatt scwatt
> scpp) ln(2) corr nrep(500) cluster(subject)
>
> 'value' is the choice variable, and is '1' if the subject chose the
> alternative and '0' otherwise.
>
> If I add the vector of 1s to either the collection of variables with
> fixed coefficients or that with random coefficients, I receive the
> error cited above. Am I overlooking an obvious source of collinearity?

No, -mixlogit- does not include an intercept term, you have to
generate the alternative specific constants yourself and include them
in the model. Note that the constants in these models are *not*
vectors of 1s but dummy variables which equal one for the alternative
the constant represents and zero otherwise.

> 2. If mixlogit does not include an intercept term, then what is the
> best way to include it in mixlogit aside from including a vector of
> 1s?

See above.

> 3. Is there a way to allow a random intercept that is uncorrelated
> with the other random coefficients while allowing an arbitrary
> correlation structure on the latter?

Not straightforwardly, but one way of doing it is to impose zero
constraints on appropriately selected elements of the L matrix
(remember that when the -corr- option is specified -mixlogit-
estimates the elements of the lower-triangular matrix L, where the
covariance matrix for the random coefficients is given by V = LL').

Arne
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