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| From | Frank D Lopresti <fl2@nyu.edu> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: Re:using a flag variable for missing values in a regression |
| Date | Wed, 27 Mar 2013 09:28:14 -0400 |
I a working with a student who's prof said in a memo "Note: when creating new variables, missing values should be coded as some arbitrary numerical value (e.g., 0) so that cases aren’t dropped in the regression . You can also generate a missing flag for each variable, coded 1 for missing and 0 otherwise, and then include the flags in tandem with the variables for unbiased estimates." Is this a valid method for dealing with missing data I've missed? * * 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/