clear
input firm year y x
1 1980 20 23
1 1981 22 34
1 1982 20 19
1 1984 22 34
1 1985 20 19
1 1986 28 34
1 1987 30 19
2 1980 15 23
2 1981 55 34
2 1982 29 19
2 1983 15 23
2 1984 55 34
2 1985 29 19
2 1986 28 34
2 1987 30 19
end
fillin firm year
tsset firm year
sort firm year
g double d=.
qui forv i=3/`=_N-2' {
loc f=`i'-2
loc l=`i'+2
if firm[`f']==firm[`i'] & firm[`l']==firm[`i'] {
reg y year in `f'/`l' if firm==firm[`i']
predict double ye if e(sample), resid
reg x year in `f'/`l' if firm==firm[`i']
predict double xe if e(sample), resid
reg ye xe
replace d=_b[xe] in `l'
drop ye xe
}
}
li, noo sepby(firm)
On Thu, May 8, 2008 at 1:21 PM, Erasmo Giambona <[email protected]> wrote:
> Hi Austin,
>
> Thanks very much. Your code really gets me very very close to what I
> want to achieve.
>
> Here are some additional clarifications that you required. Yes, I am
> only interested in saving the estimated coefs d of reg ye xe. If there
> are missing data in the 5 year window, I would still like to get the
> estimates with whatever data is available. If there are gaps, for
> instance for a company I have data for the window 1980-1984 and
> 1990-1994, then I would like to get estimates for the first window and
> independently for the second window.
>
> I noticed that you code calculates d based on observations from -2 to +2.
> For instance, d=.15129763 for 1982 is based on data from 1980-1984.
> What I would really like to achieve is for instance that d for 1984 is
> based on the data from 1980-1984.
>
> Hope you can provide some additional hints on how I could obtain what I need.
> Thanks very much,
> Erasmo
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