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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Missing data in panel analysis |

Date |
Thu, 7 Mar 2013 17:36:52 +0000 |

(previous was sent prematurely) I doubt that there can be a general answer here that is correct across all possibilities. I didn't have an iPhone in 1987, so "No" rather than missing could be a reasonable answer. In any case, dropping an entire variable is not the only option. You could -drop- the first record for each panel. Please use full real names on Statalist. Nick On Thu, Mar 7, 2013 at 5:21 PM, ARDE DE <wsbbarde@gmail.com> wrote: > In my panel analysis I have the following problem with missings: > > Assume that all individuals are observed throughout all time periods > t_1, t_2, ..., t_T, for a certain set of variables. But a new variable > is added at t_2 (and being answered for t_2, t_3, ..., by all > individuals). Assume that this new variable did not make sense in t_1 > (e.g. do you have an iphone asked in 1987...) So, this variable is > missing only for t_1. > How can I deal with that problem? > On the one hand I have missings in my matrix of regressors and cannot > perform the usual inversions etc. On the other hand, it would be > inefficient to drop the entire new variable. * * 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: Missing data in panel analysis***From:*ARDE DE <wsbbarde@gmail.com>

**Re: st: Missing data in panel analysis***From:*Nick Cox <njcoxstata@gmail.com>

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