does nothing different from
regress return country
so perhaps you mean
xi : regress return i.country
The latter model just fits
the means of return for each country.
It is essentially an alternative to
-anova-.
Adding the -nocons- option just
forces the mean for the first country,
or more generally the category omitted,
to 0 and leaves the other predictions
unchanged. I can't think of a scientific
or statistical reason to do that, but
that may be failure of imagination
or just plain ignorance on my part.
More generally, the rationale for
forcing through the origin is usually
something like a law of physics
which tells you that the relationship
really should start there. Doesn't
sound like your case.
Nick
[email protected]
Yvonne Capstick
> I have two categories: "return" and "country", where return
> is "numeric" and
> "country" is a three letter code corresponding to the
> country. I know that I
> can use the "xi" function to create dummy variables and run
> the regressions
> all in one step, i.e.
>
> xi : regress return country
>
> To avoid the dummy variable trap, it automatically omits the
> first group of
> "country". I know that I can use the "char" function to
> specify omitting
> another group, e.g.
>
> char country[omit] "ita"
>
> would omit the group "ita".
>
> However, I haven't found a way to omit no groups - i.e.
> include all the
> dummy variables, and avoid the dummy variable trap by specifying
> "noconstant" in the regression. If I try:
>
> xi: regress return country, noconstant
>
> it will omit the constant but still omit the first group of
> "country". Any
> advice would be appreciated.
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