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# Re: st: question about weights in histograms

 From "Austin Nichols" To statalist@hsphsun2.harvard.edu Subject Re: st: question about weights in histograms Date Wed, 10 Oct 2007 12:44:27 -0400

```Or, better, multiply the weight by the reciprocal of the smallest
increment ("units" in -codebook- output) and use that as a frequency
weight, which should give you identical point estimates to -svy-
output:

use hhinc mars using cpsmar07
g double wt=round(marsupwt*100)
hist hhinc [fw=wt], xscale(log) percent

On 10/10/07, Steven Joel Hirsch Samuels <sjhsamuels@earthlink.net> wrote:
> Round the weights to the nearest integer and use these as frequency
> weights.  -histogram- is not a survey command and so is unaffected by
> -svyset-.   The results will be nearly identical to  what you would
> get if you estimated  the per cent in each category using -svy:
> proportion-.  By the way, in most complex surveys the weights have
> been trimmed to reduce total error: bias^2 + se^2.  So you cannot
> expect 'unbiased' estimates even with the original weights.
>
> -Steve
>
> On Oct 10, 2007, at 12:02 PM, Scott Cunningham wrote:
>
> > I am using 5% Census and March CPS data (United States) to construct
> > histograms.  These data include probability weights.  I know that
> > histogram can adjust for frequency weights, but apparently not
> > explicitly for probability weights that are not integers.  If I
> > -svyset- the data using the perweight, will -histogram- construct
> > unbiased estimates of the population?  Here is my code
> >
> > . svyset [perweight=perwt]
> > . histogram tax, by(white, col(1)) percent
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