Re: st: Grouping income variables- RECODE COMMAND

[Richard Williams <richardwilliams.ndu@gmail.com>]

The latest incarnation of my intro to MI is at

http://www3.nd.edu/~rwilliam/xsoc63993/l13.pdf

I explicitly warn people that they need to read a 
lot more if they want to do anything that is at all complicated.

Wisconsin has a nice online discussion of multiple imputation:

http://www.ssc.wisc.edu/sscc/pubs/stata_mi_intro.htm

What Antonio wants may be more advanced than what 
it covers. If so, it does include several 
references, so maybe one of them will provide some help.

At 11:25 AM 2/4/2014, Maarten Buis wrote:
> Multiple imputation is in principle very easy, but in practice getting
> the right imputation model is a very finicky process. So this is
> something where I do not feel comfortable giving you advise without
> seeing the data and discussing in detail (face to face) what your
> analysis plan is. Your best chance is to find a local expert and meet
> her or him (and be prepared to pay, because you will be asking a lot
> from her or him).
>
> -- Maarten
>
>
> On Tue, Feb 4, 2014 at 4:52 PM, Antonio Rodriguez Andres
> <Antonio.Andres@emu.edu.tr> wrote:
> > Maarten
> >
> > If the graph is telling that the probability of missingnes is not
> > independent of the depression score. Clearly, we need to use imputation.
> > I have read here and there are different imputation methods
> >
> > http://www.stata.com/support/faqs/statistics/clustering-and-mi-impute/
> >
> >  I try to use strategy 1 but I am not sure 
> about the Stata syntax to ımpute
> > the values of household income.
> >
> > Should I use the strategy 3 ? I am not familiar with these methods. Can you
> > give me any clue?
> >
> > mi set wide
> > mi register imputed hinctnt
> > mi impute regress hinctnt dprt i.cntry
> > mi estimate: xtmixed dprt  age age2 gender married separated divorced
> > widowed eduyrs ichldhm ihealth iuemp5yr iuemp12m rgdp06 [pw=dweight]  ||
> > cntry: gender, mle
> >
> > Antonio
> >
> > -----Original Message-----
> > From: owner-statalist@hsphsun2.harvard.edu
> > [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Maarten Buis
> > Sent: Tuesday, February 04, 2014 4:47 PM
> > To: statalist@hsphsun2.harvard.edu
> > Subject: Re: st: Grouping income variables- RECODE COMMAND
> >
> > On Tue, Feb 4, 2014 at 3:19 PM, Antonio Rodriguez Andres wrote:
> >> Thank you for detailed response. One of the reviewers was concerned
> >> about the missing values in our income Variable. The variable dprt is
> >> the depression score across individuals taking values from 0 to 24.
> >> How can I observe that the missingnes Is independent of the depression
> >> score?
> >
> > Say, union in my example is wage in yours and grade in my example is
> > depression in yours.
> >
> > *------------------ begin example ------------------ sysuse nlsw88, clear
> > gen byte miss = missing(union)
> >
> > logit miss grade
> > predict pr
> >
> > logit mis i.grade
> > testparm i.grade
> >
> > collapse (mean) miss pr, by(grade)
> >
> > twoway line miss pr grade
> > *------------------- end example -------------------
> > * (For more on examples I sent to the Statalist see:
> > * http://www.maartenbuis.nl/example_faq )
> >
> > Hope this helps,
> > Maarten
> >
> > ---------------------------------
> > Maarten L. Buis
> > WZB
> > Reichpietschufer 50
> > 10785 Berlin
> > Germany
> >
> > http://www.maartenbuis.nl
> > ---------------------------------
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> >
> >
> >
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>
>
>
> --
> ---------------------------------
> Maarten L. Buis
> WZB
> Reichpietschufer 50
> 10785 Berlin
> Germany
>
> http://www.maartenbuis.nl
> ---------------------------------
>
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-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME:   (574)289-5227
EMAIL:  Richard.A.Williams.5@ND.Edu
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