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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
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
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