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Re: st: weighted cumulative sum
bys id (year): gen exper1=pr[_n-3]/3+pr[_n-2]/2+pr[_n-1]
and you could extend this to more periods (say n>3),
but you will have exper1 missing for the first n periods
within each panel defined by id.
see also -tsset- and [U] 11.4.3 Time-series varlists
On 2/28/06, Arik <firstname.lastname@example.org> wrote:
> I have a panel data of firms and the number of units
> of products they sell each year. I am trying to
> generate some measures of production experience.
> One measure I have simply produces a cumulative sum of
> the number of products sold up to the previous year:
> by id: gen experience1=sum(products[_n-1])
> I am now trying to produce more sophisticated measures
> that will discount the experience by some given rate
> (by, say, dividing the experience by its age). The
> idea is that last year's experience is more valuable
> than the experience of the year before it and so on.
> For example, if I have the following dataset
> year 1 - 30 products
> year 2 - 20 products
> year 3 - 10 products
> year 4 - 10 products
> year 5 - 20 products
> Right now, my experience measure for year 4 is
> 30+20+10=60. I am looking for a command that will give
> me the following value: (30/3)+(20/2)+(10/1)=30
> Any idea how can this be done?
> Arik Lifschitz
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