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st: gologit2 and mlogit coefficients do not agree
From
"Rauscher, Garth" <[email protected]>
To
[email protected]
Subject
st: gologit2 and mlogit coefficients do not agree
Date
Sun, 12 Feb 2012 18:54:16 -0600
Dear listservers,
I am unable to reproduce the coefficients that I obtain from mlogit when I
attempt to run the same model in gologit2. As a simplified example of the
problem, my dependent variable (Y) has 3 categories (0,1,2) and I have a
single binary independent variable X (0,1). Mlogit gave me the same result
I obtained when I ran separate logistic regressions comparing Y=1 and Y=2
separately with Y=0, but gologit2 did not. My results are below. At first
I thought that gologit2 might be giving the inverse of mlogit but that is
not the case. I like the flexibility of gologit2 but am not sure how to
interpret it's results.
Thanks for listening, Garth
. mlogit y x , rrr baseoutcome(2)
Multinomial logistic Number of obs = 730
LR chi2(2) = 25.52
Prob > chi2 = 0.0000
Log likelihood = -754.39125 Pseudo R2 = 0.0166
-------------------------------------------------------
y | RRR Std. Err. z P>|z|
-------------+-----------------------------------------
0 x | .3853242 .1040091 -3.53 0.000
1 x | .3950005 .0858599 -4.27 0.000
2 | (base outcome)
-------------------------------------------------------
. gologit2 y x, npl or
Generalized Ordered Logit Number of obs = 730
LR chi2(2) = 25.52
Prob > chi2 = 0.0000
Log likelihood = -754.39125 Pseudo R2 = 0.0166
-------------------------------------------------------
y | Odds Ratio Std. Err. z P>|z|
-------------+-----------------------------------------
0 x | 1.822296 .4744057 2.31 0.021
1 x | 2.554348 .4826326 4.96 0.000
-------------------------------------------------------
Garth H Rauscher
Associate Professor of Epidemiology
UIC School of Public health
(312)413-4317
[email protected]
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