LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (December 1997, week 5)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Tue, 30 Dec 1997 20:53:52 -0600
Reply-To:     Jeff Shive <Jeffery.A.Shive@VANDERBILT.EDU>
Sender:       "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From:         Jeff Shive <Jeffery.A.Shive@VANDERBILT.EDU>
Subject:      multinomial...probabilities
Content-type: text/plain; charset="us-ascii"


This is perhaps a very simple problem (hope so), but ...anyway:

I am fitting a multinomial logit model. The response variable has four values. The very idea is to compare different groups. The qualitative variables included in the model and the group -variable are coded into dummies.

The values of the response variable are labour market states and the question in the study is to compare the effects of different group-membership.

The basic syntax is (in UNIX -environment):

proc catmod data=data1; weight count; direct var1 var2 var3 ... group; response logits/out=data2; model x=var1 var2 var3 ... group; /ml pred=freq; run;

So I get the model as parameter estimates etc. I also get a data set (data2), which contains the predicted probabilities (as frequencies) for each combination of the regressor values.

If I want to present results which tell the model-based probabilities among different groups _when the effects of other variables are being held constant_, how should I simulate/estimate/calculate those "clean" probabilities.


regards, Jukka Halme

Back to: Top of message | Previous page | Main SAS-L page