Dear guys,
I have a simple question. I'll want to say if the tstatistics reported in Fully Modified OLS and Canonical Cointegrating Regression (Eviews 7) are valid.
tstatistics in FMOLS and CCR estimations
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 EViews Developer
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Re: tstatistics in FMOLS and CCR estimations
They are, under the appropriate assumptions.

 Posts: 2
 Joined: Wed Oct 27, 2010 5:11 pm
Re: tstatistics in FMOLS and CCR estimations
I would like to ask some technical questions about estimating CCR on Eviews 7, I am new to cointegration methods, so my questions mught look silly.
This is my output: LY is my dependent var and LLY is exogen. variable:
Dependent Variable: LY
Method: Canonical Cointegrating Regression (CCR)
Date: 10/28/10 Time: 19:12
Sample (adjusted): 1972 2006
Included observations: 35 after adjustments
Cointegrating equation deterministics: C
Longrun covariance estimate (Prewhitening with lags = 2, Bartlett kernel,
Andrews bandwidth = 2.3903)
Variable Coefficient Std. Error tStatistic Prob.
LLY 0.028093 0.002599 10.80882 0.0000
C 24.76078 0.139754 177.1738 0.0000
Rsquared 0.940371 Mean dependent var 26.35429
Adjusted Rsquared 0.938564 S.D. dependent var 0.323531
S.E. of regression 0.080191 Sum squared resid 0.212211
DurbinWatson stat 0.272007 Longrun variance 0.024146
My queations are as followings:
1. can I have more than 1 exon. var?
2. is the coeff. here same as β hat in CCR equation?
3. what is bandwith? is it same as lag lenght?
4. does CCR produce H(0,1) and H(0, q)? if does, how i can do that?
5. can i test Park's J and G tests? if yes, how?
Thank you very much.
This is my output: LY is my dependent var and LLY is exogen. variable:
Dependent Variable: LY
Method: Canonical Cointegrating Regression (CCR)
Date: 10/28/10 Time: 19:12
Sample (adjusted): 1972 2006
Included observations: 35 after adjustments
Cointegrating equation deterministics: C
Longrun covariance estimate (Prewhitening with lags = 2, Bartlett kernel,
Andrews bandwidth = 2.3903)
Variable Coefficient Std. Error tStatistic Prob.
LLY 0.028093 0.002599 10.80882 0.0000
C 24.76078 0.139754 177.1738 0.0000
Rsquared 0.940371 Mean dependent var 26.35429
Adjusted Rsquared 0.938564 S.D. dependent var 0.323531
S.E. of regression 0.080191 Sum squared resid 0.212211
DurbinWatson stat 0.272007 Longrun variance 0.024146
My queations are as followings:
1. can I have more than 1 exon. var?
2. is the coeff. here same as β hat in CCR equation?
3. what is bandwith? is it same as lag lenght?
4. does CCR produce H(0,1) and H(0, q)? if does, how i can do that?
5. can i test Park's J and G tests? if yes, how?
Thank you very much.

 EViews Developer
 Posts: 2642
 Joined: Wed Oct 15, 2008 9:17 am
Re: tstatistics in FMOLS and CCR estimations
1. You can have more than one cointegrating and more than one deterministic regressor. Deterministic regressors not in the trend specification combo cause some problems for inference.
2. Not sure what you mean.
3. No, it's the bandwidth for the kernel estimator of the longrun variance. See the Appendix in EViews UGII for details.
4. See the section on testing in the chapter for a description of how to do the Park test.
5. No.
2. Not sure what you mean.
3. No, it's the bandwidth for the kernel estimator of the longrun variance. See the Appendix in EViews UGII for details.
4. See the section on testing in the chapter for a description of how to do the Park test.
5. No.

 Posts: 2
 Joined: Wed Oct 27, 2010 5:11 pm
Re: tstatistics in FMOLS and CCR estimations
Thank you very much.
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