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Re: st: control a variable in stata

From   Nick Cox <>
Subject   Re: st: control a variable in stata
Date   Sat, 21 Apr 2012 21:29:24 +0100

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

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


On Sat, Apr 21, 2012 at 8:33 PM, Nora Reich <> 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.

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