multi- collinearity

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Afsaneh
Posts: 11
Joined: Sun Jun 22, 2014 6:59 am

multi- collinearity

Postby Afsaneh » Mon Jan 05, 2015 4:26 pm

Hi,
I'm estimating a regression with 10 independent variables. When I run the regression I get a message "near singular matrix". I reviewed other posts on this message and I realized it shows multi collinearity and I need to check VIF test. But how can I do that? Because I need to estimate regression first and then run VIF test! However, as I said Eviews 8 prevent to estimate the equation with getting that message"near singular matrix". Also, i read in one post dropping the colineared variable is a big mistake, then after finding collineared variables how can I fix this problem? I would greatly appreciate any help.

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: multi- collinearity

Postby startz » Mon Jan 05, 2015 7:11 pm

The odds are very strong that you've made a mistake in specifying the regression. You might post your EViews workfile and the exact command you use to see if anyone can spot something.

Afsaneh
Posts: 11
Joined: Sun Jun 22, 2014 6:59 am

Re: multi- collinearity

Postby Afsaneh » Tue Jan 06, 2015 3:22 pm

I attached the workfile. I simply used this command: r c bm dy ep inf svar pres ms gby tb ts , r as a dependant and 10 others as independent. This command works if I eliminate gby that I guess, it might be correlated with 2 others.
Attachments
malaysia.wf1
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Last edited by Afsaneh on Tue Jan 06, 2015 3:46 pm, edited 1 time in total.

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: multi- collinearity

Postby startz » Tue Jan 06, 2015 3:40 pm

Yeah, GBY=TB+TS. So GBY is redundant.

Afsaneh
Posts: 11
Joined: Sun Jun 22, 2014 6:59 am

Re: multi- collinearity

Postby Afsaneh » Tue Jan 06, 2015 3:49 pm

But how could I do FVI test before deleting gby?

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: multi- collinearity

Postby startz » Tue Jan 06, 2015 3:51 pm

I guess you can't. But why would you want to? The near perfect multicollinearity message means you have a logically redundant variable (with very rare exception).


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