Getting Started in Logit and Ordered Logit Regression - Data and ...
Getting Started in Logit and Ordered Logit Regression - Data and ...
Getting Started in Logit and Ordered Logit Regression - Data and ...
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. prvalue<br />
ologit: Predictions for y_ord<strong>in</strong>al<br />
Confidence <strong>in</strong>tervals by delta method<br />
Predicted probabilities: us<strong>in</strong>g prvalue<br />
After run<strong>in</strong>g ologit (or logit) you can use the comm<strong>and</strong> prvalue to estimate the probabilities for<br />
each event.<br />
Prvalue is a user-written comm<strong>and</strong>, if you do not have it type f<strong>in</strong>dit spost , select<br />
spost9_ado from http://www.<strong>in</strong>diana.edu/~jslsoc/stata <strong>and</strong> click on “(click<br />
here to <strong>in</strong>stall)”<br />
If you type prvalue without any option you will get the probabilities for each category when all<br />
<strong>in</strong>dependent values are set to their mean values.<br />
95% Conf. Interval<br />
Pr(y=Disagree|x): 0.3627 [ 0.3159, 0.4094]<br />
Pr(y=Neutral|x): 0.2643 [ 0.2197, 0.3090]<br />
Pr(y=Agree|x): 0.3730 [ 0.3262, 0.4198]<br />
x1 x2 x3 x4 x5 x6 x7<br />
x= 2.0020408 -8.914e-10 -1.620e-10 -1.212e-10 2.539e-09 -9.744e-10 -6.040e-10<br />
You can also estimate probabilities for a particular profile (type help prvalue for more details).<br />
. prvalue , x(x1=1 x2=3 x3=0 x4=-1 x5=2 x6=2 x6=9 x7=4)<br />
ologit: Predictions for y_ord<strong>in</strong>al<br />
Confidence <strong>in</strong>tervals by delta method<br />
95% Conf. Interval<br />
Pr(y=Disagree|x): 0.0029 [-0.0033, 0.0090]<br />
Pr(y=Neutral|x): 0.0055 [-0.0061, 0.0172]<br />
Pr(y=Agree|x): 0.9916 [ 0.9738, 1.0094]<br />
x1 x2 x3 x4 x5 x6 x7<br />
x= 1 3 0 -1 2 9 4<br />
For more <strong>in</strong>fo go to: http://www.ats.ucla.edu/stat/stata/dae/probit.htm<br />
PU/DSS/OTR
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