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From |
Maarten Buis <maartenlbuis@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Re:using a flag variable for missing values in a regression |

Date |
Wed, 27 Mar 2013 14:41:04 +0100 |

On Wed, Mar 27, 2013 at 2:28 PM, Frank D Lopresti wrote: > 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? In general, this is not a valid way of dealing with missing values. Here is an explanation of what happens when you use this method: <http://www.stata.com/statalist/archive/2006-09/msg00117.html> However, there is an exception where this method can be useful, which is explained here: <http://www.stata.com/statalist/archive/2011-07/msg00456.html> Hope this helps, Maarten --------------------------------- Maarten L. Buis WZB Reichpietschufer 50 10785 Berlin Germany http://www.maartenbuis.nl --------------------------------- * * 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/

**Follow-Ups**:**Re: st: Re:using a flag variable for missing values in a regression***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: Re:using a flag variable for missing values in a regression***From:*Frank D Lopresti <fl2@nyu.edu>

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