st: glm - predicted values for different x values

[Joachim Wagner <wagner@uni-lueneburg.de>]

Dear All:

How can I compute predicted values for different x values after estimating 
a model with glm, family(bin) and link(logit)?

A little background:
My endogenous variable is a percentage variable that is by definition 
limited between zero and one hundred, and about half of the observations 
have a value zero. Therefore, I estimate the empirical model using the 
fractional logit estimator introduced by Papke and Wooldridge in 1996 by 
using the command

glm y x1 x2 x3 x4 x5, fam(bin) link(logit) cluster(z).

To understand how important the statistically significant effects of x1 - 
x5 are from an economic point of view, I want to compute the predicted 
values for different sets of values for these x variables.

I know how to do this for other non-linear estimators like probit (there is 
a FAQ on this, by the way), but I have no idea how to proceed with glm. Any 
help is highly appreciated!

Sincerely yours,

Joachim

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