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Re: st: sum over variables for determinate observations


From   Roberto Ferrer <[email protected]>
To   Stata Help <[email protected]>
Subject   Re: st: sum over variables for determinate observations
Date   Sun, 26 Jan 2014 13:13:02 -0430

You're right, -collapse- works:

*----------- begin code --------------

clear all
set more off

input ///
str20 provname    provcode    str2 lic    str1 atecosec   str1
atecosec2002    numcontrib
AGRIGENTO              84                       AG           A
        A                     100
AGRIGENTO              84                       AG           A
        B                      50
AGRIGENTO              84                       AG           B
        C                      12
AGRIGENTO              84                       AG           C
        D                      79
AGRIGENTO              84                       AG           O
        P                      34
AGRIGENTO              84                       AG           P
        Q                       0
AGRIGENTO              84                       AG           Z
        Z                       1
ALESSANDRIA            6                        AL           A
        A                      29
ALESSANDRIA            6                        AL           A
        B                      12
ALESSANDRIA            6                        AL           B
        C                       0
ALESSANDRIA            6                        AL           C
        D                       5
end

list, sepby(provname)

collapse (sum) numcontrib, by(provname atecosec)

list, sepby(provname)

*------------------- end code ------------------------

On Sun, Jan 26, 2014 at 11:06 AM, Marie-Luise Schmitz
<[email protected]> wrote:
> Dear Stata Users,
>
> I have a data set that looks like this:
>
> province_name    province_code_107    license_number    ateco_section    ateco_section2002    numero_contribuenti...
> AGRIGENTO              84                       AG           A                 A                     100
> AGRIGENTO              84                       AG           A                 B                      50
> AGRIGENTO              84                       AG           B                 C                      12
> AGRIGENTO              84                       AG           C                 D                      79
> AGRIGENTO              84                       AG           O                 P                      34
> AGRIGENTO              84                       AG           P                 Q                       0
> AGRIGENTO              84                       AG           Z                 Z                       1
> ALESSANDRIA            6                        AL           A                 A                      29
> ALESSANDRIA            6                        AL           A                 B                      12
> ALESSANDRIA            6                        AL           B                 C                       0
> ALESSANDRIA            6                        AL           C                 D                       5
>
> It contains numerous numeric variables following the variable numero_contribuenti.
> The variable ateco_section is a redefined version of the variable ateco_section2002 and shows sectors of economic activity. For instance, A = agriculture, B = fishery, etc.
> In the redefined variable ateco_section, sectors A and B are summarzied by A.
> However, the problem is that I want only one entry for sector A for each province that is, for numeric variables as numero_contribuenti I want the sum of previous A and B, hence:
>
> province_name    province_code_107    license_number    ateco_section       numero_contribuenti     .........
> AGRIGENTO               84                       AG         A                         150
> AGRIGENTO               84                       AG         B                          12
>
>
> I want to apply that to each province.
> I guess this problem may be solved with collapse (sum) but I am totally lost.
> Any help is highly appreciated.
>
> Marie-Luise
>
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