Hello Statalist,
I am a new user of Stata and I am wondering if I can
do what I think whith Stata.
I have a panel dataset with 74 countries between
1960-1990 and a variable (sulfur dioxid emissions per
capita, say x). My dataset looks like :
year countrycode x
1960 1 .
. . .
. . .
1990 . .
1960 74 .
. . .
. . .
1990 . .
I want to analyse in terms of stationarity all the
pairs (difference of emissions between country i and
j): xi-xj (in fact 2701 pairs). With the following
program, I succeed to compute all the pairs:
sort year
by year: gen freq=_N
expand freq
sort year countrycode
by year countrycode: gen num=_n
by year: gen pair_id=countrycode[freq*num]
by year: gen x2=x[freq*num]
drop if countrycode== pair_id
drop if countrycode>pair_id
by year: gen dist=x-x2
sort countrycode pair_id year
But, I obtain a unique variable named dist. My dataset
now looks like :
year countrycode x pair_id dist
1960 1 . 2 x1-x2
. . . .
. . . .
1990 . .
1960 1 . 3 x1-x3
. . . .
. . .
1990 . .
I want to test unit root (use of dickey-fuller test)
on all the 2701 pairs. I don't know if it is possible
to do this with the variable dist or if i have to
obtain 2701 variables (each corresponding to a pair)
and then use the syntax "foreach". So, I need your
help !
I try to compute all the pair-variables with the
following program:
forvalues i=1/74 {
forvalues j=2/74 {
if (`i'~=`j' & `i'<`j') {
gen paire`i'`j'=dist if countrycode==`i' &
pair_id==`j'
}
}
}
but I obtain a variable paireij with 83731
observations, with only 31 non missing observations. I
would like to take into account only the non-missing
observations and obtain the following dataset :
year pair12 pair13 . . pair7374
1960 x1-x2 x1-x3 x73- x74
. . .
. . . .
1990 . . .
Is it possible to do this with Stata and must I create
this dataset on Excel and then input it on Stata ?
Thank you very much for all idea you give me.
Best Regards.
Myriam Nourry
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