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Re: st: Obtaining predictions with margeff & gologit2
From 
 
Richard Williams <[email protected]> 
To 
 
[email protected],        "[email protected]" <[email protected]> 
Subject 
 
Re: st: Obtaining predictions with margeff & gologit2 
Date 
 
Sun, 21 Apr 2013 10:37:07 -0500 
Unfortunately gologit2 does not support factor variables. But, if you 
are careful you can use the -margins- command to get predicted 
probabilities. For example, the following gives you adjusted 
predictions for whites:
webuse nhanes2f,clear
gologit2 health age black orace
margins, at(black = 0 orace=0) predict(outcome(#1))
margins, at(black = 0 orace=0) predict(outcome(#2))
margins, at(black = 0 orace=0) predict(outcome(#3))
margins, at(black = 0 orace=0) predict(outcome(#4))
margins, at(black = 0 orace=0) predict(outcome(#5))
If you prefer to use means for age and other variables, you could add 
the -atmeans- option.
At 01:20 PM 4/19/2013, Tiainen Ossi wrote:
Hello,
I'm using the gologit2 generalized logistic regression/ partial 
proportional odds model for ordinal dependent variables. The 
dependent variable describes firm size and is a categorical variable 
with three groups, small, medium and large. Independent variables 
are three dummies that describe categorical firm types + some 
control variables.
I used margeff to get the average marginal effect coefficients (see 
output below), but i'm having difficulties in understanding how I 
could get the predicted probabilities for the three dummies in a 
convenient way. For mlogit the 'margins' command gives the 
probabilities directly, so is there some way to obtain them with 
gologit2 or must I use the predict command and calculate the 
probabilities by hand for each dummy?
If I use predict, how can I get the base probability level that the 
three coefficients below are compared to? What about if I use 
marginal effects at mean instead of average marginal effects?
Thank you for your assistance in advance!
Best regards,
Ossi Tiainen
. margeff, dummies(Iprsv* \ Ipscl* \ Icountry* \ Inace*)
Average partial effects after gologit2
y  =3D Pr(size04)
--------------------------------------------------------------------------------
  variable  |      Coef.   Std. Err.      z    P>|z|     [95% Conf. 
Interval=]
---------------+-----------------------------------------------------------------------+---=-----
Small        |
Iprsvinn_1 |  -.1368403   .0136474   -10.03   0.000    -.1635887   -.1100918
Iprsvinn_2 |  -.0130166   .0185622    -0.70   0.483    -.0493979    .0233646
Iprsvinn_3 |  -.0665578   .0193864    -3.43   0.001    -.1045544   -.0285611
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-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME:   (574)289-5227
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