<>
*************
clear*
input byte( id time b1 i1)
1 1 1 3
1 2 1 4
1 3 0 2
2 1 0 5
2 2 1 6
2 3 0 4
3 1 0 2
3 2 1 3
3 3 1 1
end
compress
list, noobs sepby(id) // in 1/20
bys id (time): /*
*/ gen byte select= b1[1]==0 & b1[2]==1
list if select, sepby(id)
*************
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Dmitriy
Krichevskiy
Gesendet: Mittwoch, 14. Oktober 2009 22:10
An: statalist
Betreff: st: Logical condition
Dear Listers,
I have a large panel dataset for which I was hoping to analyze a
particular subset of agents. More specifically:
id time b1 i1
1 1 1 3
1 2 1 4
1 3 0 2
2 1 0 5
2 2 1 6
2 3 0 4
3 1 0 2
3 2 1 3
3 3 1 1
I want to select only those agents from above example who have
switched their b1 status from 0 to 1 in the first two periods (agents
2 and 3 above). I want to see what happened to their b1 status since
then, more specifically I want to see how future change in status of
b1 (back to 0) has reflected on other variables (agent 2 here changes
back to 0, and he now has a value of 4 in i1 variable whereas he
started with i1=5 before his b1 status has changed). Unfortunately
every condition I try to set up drops all observations since b1=0 and
b1=1 are mutually exclusive even though I am looking at different time
periods.
I hope the above makes sense; and, as always, thanks for your help.
Dmitriy
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