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st: conditional logit (clogit) where number of choices=number of dummyindicators
From |
John Fulton <[email protected]> |
To |
statalist <[email protected]> |
Subject |
st: conditional logit (clogit) where number of choices=number of dummyindicators |
Date |
Wed, 20 Dec 2006 18:27:58 -0500 |
Hi. I am running a clogit as McFadden's choice model with c choices,1
record per choice within each chooser's "group." I created c dummies
to interact with characterisics of choosers, but stata always drops one
dummy due to collinearity.
My question is: what exactly is the cause of collinearity here?
My guess is that the c choices just also happens to be equal to the
number of records within each group, so that it is more a matter of
degrees of freedom than it is collinearity. That is, once stata has
considered c-1 choices, the cth choice - and it always is the last one -
is determined.
This is somewhat confusing because standard practice in ols regressions
without intercepts is to include dummies for all c categories of an
indicator, rather than the more typical case of c-1 dummies in
regressions with intercepts. Since conditional logit intercepts drop
out, I thought c dummies would be called for.
What do you think?
Thanks,
John.
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