Cointegrating regression OK but EC term insignificant
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Petros
- Posts: 12
- Joined: Mon Aug 25, 2014 2:20 am
Cointegrating regression OK but EC term insignificant
Hi all,
My cointegrating regression passes Johansen test, I get very good t-stats with correct signs and stationarity of residuals is verified at the 93% confidence level. However, in the regression of first differences the error correction term (the lagged residual of the cointegrating regression) is clearly statistically insignificant and wrong sign. I am not sure how to interpret this. Any suggestions of what this means or what econometric/estimation problem may be due to?
Your help will be greatly appreciated.
Thanks.
Petros
My cointegrating regression passes Johansen test, I get very good t-stats with correct signs and stationarity of residuals is verified at the 93% confidence level. However, in the regression of first differences the error correction term (the lagged residual of the cointegrating regression) is clearly statistically insignificant and wrong sign. I am not sure how to interpret this. Any suggestions of what this means or what econometric/estimation problem may be due to?
Your help will be greatly appreciated.
Thanks.
Petros
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TomDoan
- Posts: 7825
- Joined: Wed Nov 01, 2006 4:36 pm
Re: Cointegrating regression OK but EC term insignificant
Did you estimate both of the error correction equations? It's quite possible for one of the two variables to have a zero loading on the cointegrating vector.
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Petros
- Posts: 12
- Joined: Mon Aug 25, 2014 2:20 am
Re: Cointegrating regression OK but EC term insignificant
Tom thanks for the reply. Pardon my ignorance but I don't understand which is the other error correction equation you are referring to.
Petros
Petros
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TomDoan
- Posts: 7825
- Joined: Wed Nov 01, 2006 4:36 pm
Re: Cointegrating regression OK but EC term insignificant
You're looking at one equation out of a VECM. The loading is probably significant in the other equation. For instance, if
then the two variables are cointegrated, but all the adjustment is done by x2. If you run a ECM on x1, you'll get a zero coefficient on the cointegrating vector.
then the two variables are cointegrated, but all the adjustment is done by x2. If you run a ECM on x1, you'll get a zero coefficient on the cointegrating vector.