--- On Sun, 14/2/10, Erasmo Giambona wrote:
> I ran the regressions with both RHS and LHS untransformed
> using both OLS and GLM with link(log). With the OLS the
> coeff on X is 0.006 while with the GLM the coefficient is
> 0.700. I find a bit hard to intepret the GLM coefficient.
Consider the example below:
*--------------- begin example -----------------
sysuse nlsw88, clear
gen byte baseline =1
reg wage grade
glm wage grade baseline, ///
link(log) eform nocons
*--------------- end example --------------------
The -regress- results are interpreted as follows:
People without education can expect a wage of
-1.96 dollars an hour (substantively we know that
people hardly ever pay for the privelege to work,
so this is a sign of bad model fit), and they get
74 cents an hour more of every additional year of
education.
The -glm- results are interpreted as follows:
People without education can expect a wage of
2.25 dollars an hour, and for every additional
year of education they can expect an increase
of 9.7%.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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