Thank you so much for your innovative suggestions - they look very
promising. I will try them out right away...
Best regards
Morten
2009/9/24 Martin Weiss <[email protected]>:
>
> <>
>
> Check this very carefully:
>
>
> *************
> clear*
> set obs 102
> set seed 12345
>
> gen id=_n
>
> forv i=1/48{
> gen byte w`i'=runiform()<0.5
> }
>
> reshape long w, i(id) j(week)
> l in 1/40, noobs
>
> tsset id week
>
> bysort id (week): gen byte success= /*
> */ (L3.w==0)*(L2.w==0)*(L.w==0)*(w==0)
>
> bysort id (week): gen byte successtime= /*
> */ cond((_n<4), 0, success*(L3.week))
>
> l in 1/40, noobs
> *************
>
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: [email protected]
> [mailto:[email protected]] Im Auftrag von Morten Vejs
> Willert
> Gesendet: Donnerstag, 24. September 2009 14:12
> An: [email protected]
> Betreff: st: identifying spells in panel data
>
> In relation to performing a cox regression, I am looking for a way to
> identify spells in a dataset containing longitudinal panel data of 48
> week-by-week registrations on absenteeism from work.
>
> The dataset is in wide format. For each participant(=id) there are 48
> variables (one per week) containing either the value 0 (=working) or
> the value 1 (=absent from work). The week-by-week variables are named
> consecutively w1, w2, w3, ... w48, as illustrated below:
>
> id w1 w2 w3 w4 w5 w6 ..... w48
> 1 1 1 1 0 0 0 0
> 2 1 0 0 0 0 0 0
> 3 1 1 1 1 1 0 0
> 4 0 0 0 0 0 0 0
> ...
> 102 1 1 1 1 0 0 0
>
>
> I am interested in determining when a participant has had a spell of
> four consecutive weeks working - so in my dataset I want to identify
> spells of 4 consecutive 0's, when combing through the variable w1 to
> w48 - and I want to generate two new variables: 'success' describing
> if the participant has had such a spell (values 0 or1), and
> 'successtime' denoting the first week of the identified spells (values
> 1 to 45).
>
> I have tried to use the command -spell- to achieve this, but with no
> success. Does anyone have a solution to this problem?
>
>
> Best regards
> Morten Vejs Willert
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