# Re: st: Re: Weighted number of observations

 From Toyoto Iwata To statalist@hsphsun2.harvard.edu Subject Re: st: Re: Weighted number of observations Date Tue, 03 Aug 2004 16:29:11 +0900

```Dear Friedrich Huebler

> . tabstat foreign [aw=weight], stat(sum)
>
> variable | sum
> -------------+----------
> foreign | 50950
> ------------------------

Perhaps I miss the point, but,

.gen eachmean = foreign*weight

.gen sumeachmean = sum(eachmean)  /* I don't know the mean of this. */

. list sumeachmean in l

+----------+
| sumeac~n |
|----------|
74. |    50950 |
+----------+

This seems to agree with the definition of the aweight.

aweights, or analytic weights, are weights that are inversely
proportional to the variance of an observation; i.e.,
the variance of the j-th observation is assumed to be sigma^2/w_j,
where w_j are the weights.
Typically, the observations represent averages and the weights are
the number of elements that gave rise to the average.

> The Stata User's Guide states in section 14.1.6: "For most Stata
> commands, the recorded scale of aweights is irrelevant; Stata
> internally rescales them to sum to N, the number of observations in
> your data, when it uses them." It would be useful if the Stata
> documentation could make clear which commands don't use aweights in
> this manner.
>
> Friedrich Huebler

sincerely,

Toyoto

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