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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: Analyse variables used in a regression |

Date |
Wed, 2 Jan 2013 18:30:07 +0000 |

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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Analyse variables used in a regression***From:*Claude Francoeur <claude.francoeur@hec.ca>

**st: RE: Analyse variables used in a regression***From:*"Jacobs, David" <jacobs.184@sociology.osu.edu>

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