At 01:07 PM 6/6/2005 -0400, Zhu, Carolyn wrote:
Hi Statalister,
We estimated a gologit model where the depedent variable has 4 categories
from best to worst. We compared coefficients from the generalized ordered
logit model with the three binary logit models. We had thought these
results might be similar. But they are very different (e.g., some
coefficients are twice as large) and tell a very different stody. We are
puzzled as to what might be going on and wondering if the experts on the
list would tell us what we might be doing wrong.
First, are you sure you did the binary logits right? I suggest using the
brant command that is part of the spost package of J. Scott Long, e.g. do
something like
ologit y x1 x2
brant, detail
gologit y x1 x2
Second, you can try my gologit2 program, which does everything gologit does
and a lot more. (See especially the -autofit- option). From within Stata,
type
net from http://www.nd.edu/~rwilliam/stata
If things still look weird, I'd be interested in seeing your output. My
experience is that -brant, detail- and -gologit- tend to produce very
similar results. (And if you have any feedback on gologit2, please let me
know - I'll probably send it to ssc soon unless somebody tells me they have
found horrible mistakes!)
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
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