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st: RE: How to 'predict' residual by region? Seasonal adjustment?


From   "Kieran McCaul" <kamccaul@meddent.uwa.edu.au>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: How to 'predict' residual by region? Seasonal adjustment?
Date   Fri, 8 Aug 2008 05:56:35 +0800

You need modify the code that Richard suggested earlier.


gen r == .
levelsof region_code, local(levels)
foreach levl of local levels {
        reg migration t4 t2 t3 if region_code == `levl'
        predict x, resid
        replace r = x if region_code == `levl'
        drop x
}


______________________________________________
Kieran McCaul MPH PhD
WA Centre for Health & Ageing (M573)
University of Western Australia
Level 6, Ainslie House
48 Murray St
Perth 6000
Phone: (08) 9224-2140
Phone: -61-8-9224-2140
email: kamccaul@meddent.uwa.edu.au
http://myprofile.cos.com/mccaul 
_______________________________________________


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Galina An
Sent: Friday, 8 August 2008 5:07 AM
To: statalist@hsphsun2.harvard.edu
Subject: st: How to 'predict' residual by region? Seasonal adjustment?

Dear stata users,
I have another related question. I need to 'predict' residual by region.

When I run the following code it only uses the coefficients from the 
last regression to predict residuals:

by region: reg  migration t2 t3 t4
predict  r,  resid

if I try to do the loop, it says that r is already defined:

levelsof region_code, local(levels)
foreach levl of local levels {
        reg migration t4 t2 t3 if region_code == `levl'
       predict r, resid
}

Also, does anybody know a good seasonal adjustment procedure in Stata?
Thank you!

-- 
Galina An
Assistant Professor
Economics Department
Kenyon College

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