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Re: st: create a variable using the first value in time-series data by group
From
Sergiy Radyakin <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: create a variable using the first value in time-series data by group
Date
Mon, 10 Jun 2013 22:00:45 -0400
Once you have the first value figured out, something like this would
populate the rest:
clear
input id year x
1 2000 0.7
1 2001 .
1 2002 .
1 2003 .
2 2000 0.9
2 2001 .
2 2002 .
2 2003 .
end
bysort id (year): replace x=x[1]
list, sepby(id)
+----------------+
| id year x |
|----------------|
1. | 1 2000 .7 |
2. | 1 2001 .7 |
3. | 1 2002 .7 |
4. | 1 2003 .7 |
|----------------|
5. | 2 2000 .9 |
6. | 2 2001 .9 |
7. | 2 2002 .9 |
8. | 2 2003 .9 |
+----------------+
Sergiy
On Mon, Jun 10, 2013 at 9:33 PM, PKCHEN UMD <[email protected]> wrote:
> Hello Statalist,
> I have a time-series cross sections dyad-year dataset. I run the
> regression and create the prediction variable for each observation. I
> want to take the prediction of the first year of each dyad and times
> 1.3. There is one number for the beginning year of every dyad. Then I
> want to compare the rest of years of prediction with the beginning
> year. My goal is to create a dummy variable that is 1 if any yearly
> prediction for that dayd is more than 1.3*the beginning year
> prediction.
>
> I manage to create a variable that contains the 1.3*the first year
> prediction using by dyad: gen. But I can only tell stata to fill in
> the value of the beginning. The rest of yearly observations are coded
> as missing. Is there a command that can autofill the missing value
> with the first year prediction I create? Or is there a more succinct
> way to create the dummy variable I want?
>
> Thank you very much!
>
> --
> Ping-Kuei Chen
> *
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