Pooled Mean Group estimation and singular matrix

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hk976
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Joined: Tue Feb 16, 2016 6:09 pm

Pooled Mean Group estimation and singular matrix

Postby hk976 » Tue Jun 07, 2016 6:48 am

Hello,
I am doing PMG estimation with my panel data and i divide the sample data into 3 sub-samples.
However, i can run a regression for the first period and get the result but not the two other periods. I got the error of near singular Matrix.
I tried VECM or VAR, but it did not happen, though. Could you help me out please?
FYI, I do not have any dummy variable. My variables are bond rate, GDP growth rate, real exchange rate, current account-to-GDP ratio, and debt-to-GDP ratio.
Thank you for consideration.

Sam

EViews Gareth
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Re: Pooled Mean Group estimation and singular matrix

Postby EViews Gareth » Tue Jun 07, 2016 7:21 am

We'd need to see the workfile.

hk976
Posts: 14
Joined: Tue Feb 16, 2016 6:09 pm

Re: Pooled Mean Group estimation and singular matrix

Postby hk976 » Wed Jun 08, 2016 12:53 am

Attached is the file concerned.
Equation specification is
spread gdp rex debt ca (spread is dependent variable and others are independent ones)
and there are three periods: 2000Q1 - 2008Q2, 2008Q3 - 2012Q2, and 2012Q3 - 2015Q4
PMG estimation of the last two periods shows singular matrix error sign.
Thank you for consideration

Sam
Attachments
hk976.WF1
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EViews Gareth
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Re: Pooled Mean Group estimation and singular matrix

Postby EViews Gareth » Wed Jun 08, 2016 12:56 am

That workfile appears to be corrupted. Make sure your copy of EViews is up to date.

hk976
Posts: 14
Joined: Tue Feb 16, 2016 6:09 pm

Re: Pooled Mean Group estimation and singular matrix

Postby hk976 » Fri Jun 10, 2016 12:54 am

Could you try this again?
I am using up-to-date student version of eviews 9.5.
If it is not working, let me send you my excel file to your personal email.
Thank you so much
Attachments
Sam.WF1
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startz
Non-normality and collinearity are NOT problems!
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Joined: Wed Sep 17, 2008 2:25 pm

Re: Pooled Mean Group estimation and singular matrix

Postby startz » Fri Jun 10, 2016 6:14 am

Can you give the details of the estimation command?

EViews Gareth
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Re: Pooled Mean Group estimation and singular matrix

Postby EViews Gareth » Fri Jun 10, 2016 6:34 am

I don't think you have enough observations to run with the default 4 lags in those latter samples. You'll need to reduce the number of lags (or use longer samples).

hk976
Posts: 14
Joined: Tue Feb 16, 2016 6:09 pm

Re: Pooled Mean Group estimation and singular matrix

Postby hk976 » Fri Jun 10, 2016 12:00 pm

This is the estimation command: spread gdp rex debt ca
I have 9 countries (panel data) but still is it not enough data?
And, is that why the error pops up?? It does not seem related to "singular matrix".
Thank you for consideration

EViews Gareth
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Re: Pooled Mean Group estimation and singular matrix

Postby EViews Gareth » Fri Jun 10, 2016 12:04 pm

No, you don't have enough observations, and not having enough observations will always result in a singular matrix.

startz
Non-normality and collinearity are NOT problems!
Posts: 3797
Joined: Wed Sep 17, 2008 2:25 pm

Re: Pooled Mean Group estimation and singular matrix

Postby startz » Fri Jun 10, 2016 12:43 pm

Note that pmg automatically inserts lags. That's why it's easy to run out of observations.

hk976
Posts: 14
Joined: Tue Feb 16, 2016 6:09 pm

Re: Pooled Mean Group estimation and singular matrix

Postby hk976 » Sat Jun 11, 2016 5:42 am

I divided the 9 countries into two panel groups (4 countries vs 5 countries)
I got the estimation results of all three periods of the first group.
However, I got the result of only first period of the second group the error pops up for the other two periods although I set the lag at the minimum and the second group has more observations than the first one.
I guess it is not just about the observations. (btw, I checked the correlation between variables and all are below 0.5)

EViews Gareth
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Re: Pooled Mean Group estimation and singular matrix

Postby EViews Gareth » Sat Jun 11, 2016 5:55 am

It is almost certainly due to number of observations.


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