Do you have more than one regime change for any country?
If not, you might try:
gen regimeyear_temp= year*regimechange [will = 0 if no change that
year or the year if there is a change]
egen regimeyear=max(regimeyear_temp), by(country)
replace regimeyear=1945 if regimeyear==0 [catches all those with no change]
This would also work if you had multiple changes but only needed to
mark year of the last regime change.
Cheers,
Angeli
On 9/12/06, Michael Blasnik <[email protected]> wrote:
This may work:
by country: gen regimeyear=year if _n==1 | regimechange==1
by country: replace regimeyear=regimeyear[_n-1] if regimeyear==.
M Blasnik
----- Original Message -----
From: "Michael Horowitz" <[email protected]>
To: <[email protected]>
Sent: Tuesday, September 12, 2006 2:42 PM
Subject: st: Help Creating a Lagged Variable
> To whom it may concern:
>
> I have data set up in country-year format, where there is one observation
> per country per year. There is also a regime change variable that is a 0
> if no regime change occurred in that year and a 1 otherwise. The dataset
> runs from 1945-2002.
>
> I am interested in creating a lagged variable for each country for each
> year that will take on the value of the start year for the dataset if
> no regime change has occurred for that country since the beginning of the
> dataset and the year of the regime change if a regime change has occurred.
<snip>
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