You say you want to avoid loops. I don't
know why, as the alternative is to type
out every command.
Also, this looks like 21 variables to me.
I can't comment on how efficient your
code is without seeing it.
As I understand your problem, I would
tackle it something like this:
qui forval v = 1/10 {
local V : di %02.0f `v'
gen int`V' = .
gen slope`V' = .
forval m = 1/12 {
regress y`V' x`V' if month == `m'
replace int`V' = _b[_cons] if month == `m'
replace slope`V' = _b[x`V'] if month == `m'
}
}
egen tag = tag(month)
list int* slope* if tag
(See also my answer to your other question.)
Nick
[email protected]
Subhankar Nayak
> I want to avoid loops in the following analysis and will
> appreciate it if
> anyone can suggest an alternative..
> I have a very simple dataset...
>
> 11 variables: (month), (y01-y10), and (x01-x10) for
> 1000 months
> So, it is a 1000*11 dataset...
>
> What I want to do is: each month, I regress (y01-y10) on
> (x01-x10) and store
> the intercept and slope...
> I need these intercept and slopes for later analysis...
>
> What I am doing now is a while loop based on month: carry the
> regressions on
> a monthly basis and store the results.
> This seems a very inefficient way of handling this. It is
> taking time too,
> because I have to do many similar analyses later on.
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