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RE: st: Grouping income variables- RECODE COMMAND


From   "Antonio Rodriguez Andres" <[email protected]>
To   <[email protected]>
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: [email protected]
[mailto:[email protected]] On Behalf Of Maarten Buis
Sent: Tuesday, February 04, 2014 4:47 PM
To: [email protected]
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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