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Re: st: Obtaining Predicted Probabilities using gologit

From   Nick Winter <>
Subject   Re: st: Obtaining Predicted Probabilities using gologit
Date   Wed, 14 Jun 2006 09:40:35 -0400

my -oprobpr- might be of service here (although it doesn't work, I think, after gologit. But you could hack into it potentially).

Also check out -adjust-


At 06:12 PM 6/13/2006, you wrote:

At 11:46 AM 6/13/2006, Lisa Powell wrote:

I am running a gologit model and want to assess the magnitude of the association between one of my independent variables and my outcome variable using the predict option similar to a probit/logit model. I specifically want to set my independent variable to a given value to test varying scenarios for this association. Below is the syntax I used after my gologit model statement:

When I ran this I received the following error statement:

predict xb1, equation(mleq1) xb at [promo=1];
option at not allowed
I've never seen the "at" option on predict before; it would probably work if you change it to

if promo==1

But, If you use gologit2 (which you can download from SSC) you can save yourself about 15 steps here. gologit2's predict command can compute the probabilities directly, e.g.

gologit2 y promo
predict prob1 prob2 prob3 prob4 prob5 if promo==1

This assumes there are cases where promo really does equal 1.

Here is a more complicated trick.

clonevar newpromo = promo
gologit2 y newpromo x2 x3 x4 x5
replace newpromo = 1
predict prob1 prob2 prob3 prob4 prob5 if e(sample)

This is useful if, say, you want to see what the predicted value for each case would be if promo equaled 1 instead of whatever it does equal.

There are lots of other ways of achieving similar results.

Richard Williams, Notre Dame Dept of Sociology
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