In addition, the position of the turning point on the quadratic of Y in
X1 given X2 and X3 can be derived easily. That may or may not have a
substantive interpretation.
Nick
[email protected]
Maarten buis
--- Antonio Silva <[email protected]> wrote:
> I ran a Poisson regression in which # of groups founded per year was
> the dependent variable. My independent variables of interest are X1
> and X1-squared.
For these non-linear effects in non-linear models I prefer to show
graphs, in this case of the predicted rate against X1. For these kinds
of graphs -adjust- is your friend, see the example below. The key trick
is to specify in the -adjust- command -by(X1)-, in this case
-by(ment)-, and not mentioning the square term. This way for each value
of X1/ment the mean of the square term is used in the computation,
which is the value of X1/ment squared.
*---------------------- begin example --------------------
// get data
net from http://www.stata-press.com/data/lf2/
net get rmcdvs
// start the analysis
use couart2, clear
gen ment2 = ment^2
poisson art fem mar kid5 phd ment ment2
adjust fem=0 mar=1 kid5=1 phd , by(ment) exp replace ci
twoway rarea lb ub ment || ///
line exp ment, ///
lpattern(solid) legend(off) ///
ytitle(rate)
*------------------------ end example ---------------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
*
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* http://www.stata.com/help.cgi?search
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