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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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