st: RE: RE: Looping 2x over same list

["Nick Cox" <n.j.cox@durham.ac.uk>]

One facet of this is working with x-y and y-x dyads. Only last week there was some discussion of a related problem, if not the same problem: 

http://www.stata.com/statalist/archive/2010-03/msg01633.html

Nick 
n.j.cox@durham.ac.uk 

Kieran McCaul

I don't know if this will help, but if you merge all the recipients with all the donors and then:

sort recipient donor
by recipient: gen total=_N

All records where total = 1 will be recipients who receive aid from one donor only.  Those with total>1 will be recipients who receive aid from multiple donors.

Christopher O'Keefe

I'm attempting to create a dataset that assesses overlap in recipients
across multilateral aid institutions (donors).  I have created
separate datasets of recipients (by institution) and now I want to
compare overlap across pairs of institutions.  So far, I have
attempted to do this by looping over the values of a macro called
donor, once for each part of the dyad.  Of course, this results in
dyads x-y, y-x, and x-x.  I want to figure out how to get rid of the
y-x dyads (and x-x dyads too, but those are easy enough to get rid of
without losing important data).

In some respects this is similar to the problems here and here (in
section 3).  What is different is that I'm looping over the same list
to merge files, create variables, save files, and append everything
into the final dataset.  Does anyone have any insight into how I can
stop producing the y-x dyads (or how to exclude them when I append
these files into a single dataset?). (Code is below). Thanks so much
for your help.

Code:
foreach d of local donor {
    foreach e of local donor {
        foreach p of local ten_yr {
            use `d'_ten`p'_comp.dta, clear
            merge recipient using `e'_ten`p'_comp.dta
            gen shar_recip = 1 if _merge == 3
            replace shar_recip = 0 if _merge != 3
            collapse (sum) shar_recip
            local n = r(N)
            gen shar_recip_b = shar_recip/`n'
            *gen shar_recip_10 = shar_recip/10
            gen dyad = "`d'-`e'"
            save `d'_`e'_ten`p', replace
        }
    }
}

clear
tempfile base
gen shar_recip = .
gen dyad = ""
save `base'


use `base', clear
foreach d of local donor {
    foreach e of local donor {
        foreach p of local ten_yr {
            capture append using `d'_`e'_ten`p'
            drop if dyad == "`d'-`d'"
        }
    }
}


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