Error correction model.

Questions and discussions on Time Series Analysis

Error correction model.

Postby Yangyang » Mon Apr 08, 2013 8:44 am

Hi

I have tried ECM model, GDP as the dependent variable, and Unemployment rate as the independent model.
However, the residuals is not stationary, actually, it has a clear upward trend.
One suggestion is that include a linear trend in the equilibrium relation to control the error.
How can i add the linear trend in RATS.

Thank you so much!

Yang
Yangyang
 
Posts: 13
Joined: Wed Mar 13, 2013 5:17 am

Re: Error correction model.

Postby TomDoan » Mon Apr 08, 2013 12:36 pm

Yangyang wrote:Hi

I have tried ECM model, GDP as the dependent variable, and Unemployment rate as the independent model.
However, the residuals is not stationary, actually, it has a clear upward trend.
One suggestion is that include a linear trend in the equilibrium relation to control the error.
How can i add the linear trend in RATS.

Thank you so much!

Yang


First of all, are you sure that (log??) GDP and the UR are cointegrated? I'm not sure I've ever seen anyone come to that conclusion. If they aren't then there is no "equilibrium relation" to fix.
TomDoan
 
Posts: 2720
Joined: Wed Nov 01, 2006 5:36 pm

Re: Error correction model.

Postby Yangyang » Tue Apr 09, 2013 7:07 pm

Hi

Thank you for your explanation!

I did the co-integration test between GDP and Unemployment rate in log.
The error term from the regression shows no stationary, actually there is
a upward trend in the error term.

I took the first difference, and then did the co-integration regression. But my
supervisor suggested me to add a linear trend to control the stationarity of the
error.
The problem is that i can not make sure if the error is stationary or not
after i add the linear trend.
Thank you!
Yangyang
 
Posts: 13
Joined: Wed Mar 13, 2013 5:17 am

Re: Error correction model.

Postby TomDoan » Tue Apr 09, 2013 7:40 pm

Yangyang wrote:Hi

Thank you for your explanation!

I did the co-integration test between GDP and Unemployment rate in log.
The error term from the regression shows no stationary, actually there is
a upward trend in the error term.

I took the first difference, and then did the co-integration regression. But my
supervisor suggested me to add a linear trend to control the stationarity of the
error.
The problem is that i can not make sure if the error is stationary or not
after i add the linear trend.
Thank you!


That certainly sounds like they're not cointegrated. Do you actually have an economic model for what's going on? It sounds like you're treating these models as generic X and Y rather than GDP and unemployment.
TomDoan
 
Posts: 2720
Joined: Wed Nov 01, 2006 5:36 pm

Re: Error correction model.

Postby Yangyang » Wed Apr 10, 2013 3:57 am

I use the Error correction model to capture the relationship between GDP and unemployment rate.
they are obviously not co-integrated in log, one way is to run cointegration regression in differences, which i did.
However, my supervisor told me it might be wrong if i run the cointegration regression in difference, he suggested
me to add one linear trend in the model to control the error.
Is that accessible?
Thank you!
Yangyang
 
Posts: 13
Joined: Wed Mar 13, 2013 5:17 am

Re: Error correction model.

Postby TomDoan » Thu Apr 11, 2013 2:06 pm

You might want to read through the thread at

viewtopic.php?f=6&t=1524

Several other people had the same general problem as you --- trying to let the time series behavior of the data lead the analysis rather than the economics.
TomDoan
 
Posts: 2720
Joined: Wed Nov 01, 2006 5:36 pm

Re: Error correction model.

Postby Yangyang » Fri Apr 12, 2013 5:48 am

Hello,

Thank you for your kind advice!

Yang
Yangyang
 
Posts: 13
Joined: Wed Mar 13, 2013 5:17 am

Re: Error correction model.

Postby Yangyang » Fri May 17, 2013 6:39 pm

Hello

I have a question about the ECM.
I run the co-integration regression between GDP and unemployment rate, the equilibrium error from that is not stationary. Can i still run the error correction model? Experiences told us non-stationary data may lead to spurious regression.

Thank you for your time!

Best Regards!
Yang
Yangyang
 
Posts: 13
Joined: Wed Mar 13, 2013 5:17 am

Re: Error correction model.

Postby TomDoan » Fri May 17, 2013 8:17 pm

You can, but it won't really make any sense. If you run a regression with a stationary variable as the dependent variable and a non-stationary variable as an explanatory variable, the coefficient on the non-stationary variable has to converge to zero asymptotically.

Why are you talking about the "equilibrium error", when there is no equilibrium to start?
TomDoan
 
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Joined: Wed Nov 01, 2006 5:36 pm


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