NumFirms: gives the number of firms for each sector
IP1 until IP67: deflators
IPUsado: the number of the deflator used for each sector
In another dataset (main dataset), I have some variables ordered by
Sector, Firm, Year
I would like to build a column containing all the deflators used in
order to merge it with my main dataset.
A simplified subset of my dataset of IPS would look like:
NumFirms IP1 IP2 ... IP67 IPUsado
2 1 1 1 2
4 1.23 1.12 1.08 1
3 1.45 1.23 1.12 67
. 1.50 1.34 1.16 2
. 1.53 1.43 1.23 1
I need to create a new variable which would look like:
IP
1
1.12
1.23 this is the IP2 used for the first firm of the first
1.34 sector
1.43
1
1.12
1.23 this is the IP2 used for the second firm of the first
1.34 sector
1.43
1
1.23
1.45 this is the IP1 used for the first firm of the
1.50 second sector
1.53
...
1
1.23
1.45 this is the IP1 used for the last(3rd) firm of the
1.50 last sector
1.53
Should anyone find another possibility to accomplish that aim, I would be
very glad to learn it.
I had already succeeded in creating the variable by using the following
approach. It is really a na�ve one but faster than a nested sequence of fors
as Mr Winter has warned me.
____________________________________________________________________________
clear
set more off
local deflator="C:\DATA\RJ\def_96.dta" /*the name of the file containing the
deflators*/
local num_anos=5 /*number of years*/
use `deflator'
local q=0
foreach var of varlist _all {
use `deflator'
local q=`q'+1
keep `var'
ren `var' var1
save ip`q'.dta, replace}
use "C:\DATA\RJ\Concatena_Oficial.dta", clear /*dataset which contains
IPUsado and NumF*/
gen parmer=_n
local varMer=NumFirms[1]*`num_anos' /*para nao ter missing na primeira*/
local IPF1=IPUsado[1]
sort parmer
save "C:\DATA\RJ\Col_IP_oficial.dta", replace
su NumFirms, meanonly
local Tot_set=r(N)
set obs `varMer'
cd C:\DATA
merge using ip`IPF1'.dta
drop _merge parmer
ren var1 var2
local step1=var2[1]
local step2=var2[2]
local step3=var2[3]
local step4=var2[4]
local step5=var2[5]
egen var1=fill( `step1' `step2' `step3' `step4' `step5' `step1' `step2'
`step3' `step4' `step5')
drop var2
forvalues sector=2 3 to `Tot_set' {
local Tot_Firm=NumFirms[`sector']
local IP=IPUsado[`sector']
forvalues firm=1 2 to `Tot_Firm' {
append using"c:\Data\ip`IP'.dta"
}
}
____________________________________________________________________
I am new to Stata, and I am meaning to use it as much as possible,
thanks again for the attention,
Euler
Ps.:A matlab code to achieve the same result would be sth like:
Super=[];
for i=1:size(NumFirms,1)
Super=[Super; repmat(IPA(:,IPUsado(i,1)),NumFirms(i,1),1)];
end
clear i
but I do not feel like changing packages every time I need to solve a problem.
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