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Re: st: Picking Groups with Complete Data on Variable X


From   Robson Glasscock <glasscockrc@vcu.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Picking Groups with Complete Data on Variable X
Date   Sat, 10 Dec 2011 13:46:42 -0500

Here is an example:

/* begin code */

clear
webuse pig


/* Modify dataset to contain two missing values.
One is in id==3 and one in id==10 */
replace weight= . if _n==23
replace weight= . if _n==87

/*Create a variable that will equal 1 if
weight is missing, otherwise 0 */
gen nonmissing=0
replace nonmissing=1 if weight != .

/* Identify groups with a missing value for weight */
bysort id: egen min_nonmiss=min(nonmissing)

/* Display the id's with missing values for weight in any year */
tab id if  min_nonmiss==0

/* Drop every observation for groups with missing values */
drop if min_nonmiss==0

/* end code */

best,
Robson Glasscock

On Sat, Dec 10, 2011 at 1:09 PM, micdepo mic <micdepo@gmail.com> wrote:
> Hello,
>
>
> I would like to extract from a panel dataset only the individuals that
> have complete data on a variable X.
>
> Say I start with:
>
>  egen group = group(id_number)
>
>
> Then, I would like to keep only the groups that have nonempty values
> on variable X for all years t=0 to t=T.
>
>
> Would you please help me with this?
>
> Thanks so much!
> *
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