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From |
Oliver Jones <ojones@wiwi.uni-bielefeld.de> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Multiple imputation with panel data |

Date |
Fri, 06 Jul 2012 01:42:50 +0200 |

Hi Veronica,

But as Lence said, others might come up with something more helpful... Best Oliver Am 06.07.2012 00:42, schrieb Lance Erickson:

Veronica, Perhaps I'm misunderstanding your problem, but if you have wide format data and there are no values for any of the observations in 2007 for one of the variables in the imputation model, with data like... Id x2003 x2007 y2003 y2007 1 5 . 8 9 2 4 . 3 3 3 3 . 8 5 then I don't think that multiple imputation is an option for you. My understanding of MI is more intuitive than technical but I believe that to impute values for a given variable, there has to be some information about how the variable is distributed. But if, in the example above, x2007 is all missing then there is no existing information that can inform the estimation of missing values. In other words, MI can't create data that you don't have. (Even though I think people sometimes seem to prefer listwise deletion to MI because it feels like that's exactly what MI is doing.) It can only give you estimates of what the data might be based on existing values and their relationship of those existing values to other variables in the imputation model. There are many others on Statalist that are substantially better credentialed than I to answer your question but that's my take. Best, Lance -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Veronica Galassi Sent: Thursday, July 05, 2012 1:00 PM To: statalist@hsphsun2.harvard.edu Subject: Re: st: Multiple imputation with panel data Hi Oliver, Thank you for your kind reply! I am not quite sure whether I got your hint or not...maybe my explanation was just not clear enough, sorry about that!!! I think my case is slightly different from what you were describing because I am not interested in the missing data between 2003 and 2007. In that case, as you said, I would just fit a line. What I am trying to impute are the missing data inside the year 2003 and 2007 respectively. And things are made even more complicated by the fact that for the main explanatory variable of my model I have got only observations for the year 2003 but not for 2007. That's why I was thinking about multiple imputation! But maybe you are right, I just have too many missing data. Best, Veronica On Thu, 05 Jul 2012 19:27:47 +0200, Oliver Jones<ojones@wiwi.uni-bielefeld.de> wrote:Hi Veronica, I have just one hint: Maybe two observations are just not enough to dotheimputation. Just think about it, I give a number, e.g. 3.145 percent, for 2003 and a number, e.g 5.0 percent, for 2007 and ask you what are the values for the years inbetween.Can you imagine some fancy method two figure it out? I would suspect, under the assumption you don't have any other information, that there is no best solution. Maybe you could just draw a line between the years. Best Oliver * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/-- VERONICA GALASSI MSc Development Economics University of Sussex Mobile: +44 78 5563 0276 14 Auckland Drive, BN2 4JS, Brighton, UK E-mail: v.galassi@sussex.ac.uk * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

-- Universität Bielefeld Fakultät für Wirtschaftswissenschaften Lehrstuhl für Ökonometrie und Statistik - - Raum / room: V9-108 Tel / phone: +49 (0)521 106 4895 - - http://www.wiwi.uni-bielefeld.de/oekonometrie.html --- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Multiple imputation with panel data***From:*Veronica Galassi <V.Galassi@sussex.ac.uk>

**References**:**st: Multiple imputation with panel data***From:*Oliver Jones <ojones@wiwi.uni-bielefeld.de>

**Re: st: Multiple imputation with panel data***From:*Veronica Galassi <V.Galassi@sussex.ac.uk>

**RE: st: Multiple imputation with panel data***From:*Lance Erickson <lance_erickson@byu.edu>

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