Re: st: control a variable in stata

[Nick Cox <njcoxstata@gmail.com>]

I agree with the main message, but as so often happens, you are

1. stressing secondary assumptions, namely assumptions about the
stochastic part of a model

2. in some danger of confusing marginal distributions and conditional
distributions.

-poisson- does not depend on the marginal distribution of the response
being Poisson  any more than regression depends on being Gaussian.

Nick

On Sat, Apr 21, 2012 at 8:33 PM, Nora Reich <nhmreich@googlemail.com> wrote:
> As far as I know, -poisson- is for skewed distributions, and salary
> distribution in general often fulfills this requirement, but salary of
> NBA players might show a different distribution. The distribution can
> be checked, e.g. with the command
>
> -histogram salary-
>
> (for more information type -help histogram-).
>
> Andy, I would compare the assumptions and requirements of different
> estimation strategies (OLS, poisson) and find out which fits better
> with the data.
>
> I would also check which estimations strategies are used by similar
> papers, and why.
>
> Apart from -poisson- and -regress-, I cannot think of any at the
> moment that have to be considered for your salary-estimations.
> However, if there was something like a "minimum wage" for NBA players,
> i.e. salary is censored,  -tobit- would be an alternative.
>

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/