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Re: st: RE: RE: calculating standard deviation of age at death from period life tables
From
Steve Samuels <[email protected]>
To
[email protected]
Subject
Re: st: RE: RE: calculating standard deviation of age at death from period life tables
Date
Mon, 8 Mar 2010 12:42:23 -0500
Tony is on the right track. This requires a life-table solution. The
SD for age at death in period (or "current") life tables is that of
the ages at death for a synthetic cohort whose age-specific death
rates are those observed for the period, in this case 2004. This
calculation requires information about the numbers at risk in each age
during the year, not just about the numbers who died at each age.
I've not constructed a period life table in Stata, but see:
http://data.princeton.edu/eco572/periodlt.html
http://www.stata.com/statalist/archive/2004-02/msg00127.html
Getting from these results to the SD will take some work: from the
table probabilities estimate the mean at death m; then estimate the
mean of (age -m)^2
-Steve
On Mon, Mar 8, 2010 at 11:57 AM, Lachenbruch, Peter
<[email protected]> wrote:
> Am I missing something? Doesn't the Greenwood formula give this to you, and isn't it in the ltable command?
>
> -----Original Message-----
> From: [email protected] [mailto:[email protected]] On Behalf Of Martin Weiss
> Either use frequency weights (first example) or -expand- to the required
> number:
>
>
> I want to calculate the standard deviation of age at death from period
> life tables:
> So I know how many people died at age x, where x runs from 0,1,2...110:
> For example, in 2004 in the US people 2000 died at age 0, 1900 at age 1,
> 600 at age 2, etc.
>
> What I think is the right way of calculating is:
>
> To generate a new variable that contains 2000 times 0, 1900 times 1,
> 600 times 2 etc...
> But I don't know how I can generate this new variable in Stata most
> efficiently...
> Thanks a lot for any hint!
> Regards,
> Johannes
>
> --
>
>
Steve Samuels
[email protected]
18 Cantine's Island
Saugerties NY 12477
USA
845-246-0774
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