See also
SJ-7-2 dm0030 . . . . . . . . . . Stata tip 44: Get a handle on your sample
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. Jann
Q2/07 SJ 7(2):266--267 (no commands)
tip on how to keep track of the observations that make
up your estimation sample
which is accessible to all at
<http://www.stata-journal.com/sjpdf.html?articlenum=dm0030>
Nick
On Wed, Jan 2, 2013 at 5:19 PM, Jacobs, David
<jacobs.184@sociology.osu.edu> wrote:
> The easiest way to deal with this is to run a regression; then in subsequent commends use -, if e(sample)- thereafter. If you need a more permanent approach (since -e(sample)- is recomputed after each run) use -generate presence=e(sample), which will produce a dummy coded one for all cases in the prior regression model and zero otherwise.
Claude Francoeur
> The dataset I am using contains several missing values. What would be the proper command(s) to analyse the data actually used in my regression. For example, I would like to produce descriptive tables to see how the subset that is used to perfom the regression is distributed among countries and industries.
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