--- Renuka Metcalfe <[email protected]> wrote:
> I am using a cross-section data. I am looking at the
> impact of "x" on "Y", runing an OLS. I ran something
> like
>
> .regress Y x1, x2, x3
>
> Some of my coefficients are very large. For example,
> 648.
> I cannot log the dependent variable, since some of the
> some workplaces had minus "Y".
>
> I guess I could divide "Y" by 1000. But I not certain
> if this would be correct.
dividing by 1000 is certainly less dramatic than taking
the log. Actually you can say you change nothing at all
except that you get an model that is easier to estimate
and easier to interpret.
Say your dependent variable is income in euros. If you
divide by a 1000 you get income in 1000s of euros.
Whether you say that an extra level of education leads
to 500 euros more income or .5 thousand euros income
makes no difference, it is the same thing.
Hope this helps,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
___________________________________________________________
Yahoo! Answers - Got a question? Someone out there knows the answer. Try it
now.
http://uk.answers.yahoo.com/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/