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| From | "Antonio Rodriguez Andres" <Antonio.Andres@emu.edu.tr> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | RE: st: Grouping income variables- RECODE COMMAND |
| Date | Tue, 4 Feb 2014 17:52:35 +0200 |
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 --------------------------------- * * 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/ * * 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/