Agreed.
Michael Blasnik
[email protected]
----- Original Message -----
From: "Richard Williams" <[email protected]>
To: <[email protected]>
Sent: Friday, July 30, 2004 2:12 PM
Subject: Re: st: Re: Weighted number of observations
> At 01:58 PM 7/30/2004 -0400, Michael Blasnik wrote:
> >This behavior does seem a little unexpected, but the result shown does
match
> >what summarize would show for r(sum) after a weighted summarize
command --
> >the weights are not normalized so the result is inflated by the mean of
the
> >weight . One work-around is to divide the weight by it's mean (either by
> >transforming the variable or just calculating it's mean)...for example:
> >
> >sum weight
> >scalar meanw=r(mean)
> >tabstat foreign [aw=weight/meanw], stat(sum)
>
> Usually, though, this weighting adjustment is automatically done for you
> with aweights, isn't it? What is the logic for not doing the adjustment
> with the tabstat sum? There may well be a good reason, but I have no idea
> what it is.
>
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
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