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Weighted Dependent Variable - Linear Regression
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Monthly data by quarter
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Gregory-Hansen Cointegration Test
Hello Trubador,
Thanks very much for your code.
I'm using EViews 9 and I got the following error message:
"Near singular matrix error. Regressors may be perfectly collinear in "DO_ GHC.LS Y C (@TREND>9-2) G"
I've tested for different values of scalar Model (2 to 4); the same error message appears.
Please find attached my data and the program.
Many thanks!
Thanks very much for your code.
I'm using EViews 9 and I got the following error message:
"Near singular matrix error. Regressors may be perfectly collinear in "DO_ GHC.LS Y C (@TREND>9-2) G"
I've tested for different values of scalar Model (2 to 4); the same error message appears.
Please find attached my data and the program.
Many thanks!
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Gregory-Hansen Cointegration Test
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Gregory-Hansen Cointegration Test
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Monthly data by quarter
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Override/exclude in a model
Hi!
I sidetracked from this issue and am faced with it again.
So, I managed to exclude the series from my model. It solves.
But, do you have to rerun the model to use override?
If the excluded series is called series1, what should the override be called? I assume the override will be the trajectory series I want.
Would appreciate more explanation on this as the object reference to do this is confusing me.
I sidetracked from this issue and am faced with it again.
So, I managed to exclude the series from my model. It solves.
But, do you have to rerun the model to use override?
If the excluded series is called series1, what should the override be called? I assume the override will be the trajectory series I want.
Would appreciate more explanation on this as the object reference to do this is confusing me.
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Override/exclude in a model
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determining dynamic factors
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determining dynamic factors
Hi,
I am trying to implement a dynamic factor model to choose the dynamic factors based on Bai and Ng (2007) criterion. for which, I need the residual co variance of the VAR in the static factors. So does that mean, we have to run a VAR on all the static factors taken together? If so what is the dependent variable? or, should we be running a VAR on factors one by one and then use the make resid option within Eviews?
Thanks in advance, any help will be appreciated.
I am trying to implement a dynamic factor model to choose the dynamic factors based on Bai and Ng (2007) criterion. for which, I need the residual co variance of the VAR in the static factors. So does that mean, we have to run a VAR on all the static factors taken together? If so what is the dependent variable? or, should we be running a VAR on factors one by one and then use the make resid option within Eviews?
Thanks in advance, any help will be appreciated.
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determining dynamic factors
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Panel data cointegration
Hi,
I am estimating causality between 4 variables in panel data and part of the process includes testing for cointegration. When I test for Johansen-Fisher cointegration through Quick>Group Statistics>Johansen Cointegration Test, I get different results from when I set-up a VAR with my 4 variables and then go to View>Cointegration test.
Is there a reason for which this is happening and if so, which output should I follow?
I am using EviewS 9. The two different outputs are attached.
Thank you for your help.
I am estimating causality between 4 variables in panel data and part of the process includes testing for cointegration. When I test for Johansen-Fisher cointegration through Quick>Group Statistics>Johansen Cointegration Test, I get different results from when I set-up a VAR with my 4 variables and then go to View>Cointegration test.
Is there a reason for which this is happening and if so, which output should I follow?
I am using EviewS 9. The two different outputs are attached.
Thank you for your help.
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Panel data cointegration
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Panel data cointegration
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Gregory-Hansen Cointegration Test
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State space number of iterations
Hi,
I still have the problem but I wasn't getting good results so I decided to move to another model, specifically the one presented in this paper: https://www.imf.org/external/pubs/ft/wp/2015/wp15144.pdf, which is similar to the one I was trying to estimate. I have one question though: some of the state equations include contemporaneous values of other state variables (see for example equation 2 and 3, page 7) and expectations (equations 16 and 17, page 9) so this would imply including leading values. Is it possible to estimate this model in Eviews? Is there a way around these issues?
Thank you.
I still have the problem but I wasn't getting good results so I decided to move to another model, specifically the one presented in this paper: https://www.imf.org/external/pubs/ft/wp/2015/wp15144.pdf, which is similar to the one I was trying to estimate. I have one question though: some of the state equations include contemporaneous values of other state variables (see for example equation 2 and 3, page 7) and expectations (equations 16 and 17, page 9) so this would imply including leading values. Is it possible to estimate this model in Eviews? Is there a way around these issues?
Thank you.
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Monthly data by quarter
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Gregory-Hansen Cointegration Test
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ardl command - error message
Hi there,
I'm getting the following error message : "Equation or VAR specification is incomplete in "EQUATION
REERNFA_AU.ARDL(DEPLAGS=3, REGLAGS=3, FIXED) REERLN_AU NFA_AU TOTLN_AU"
When running the command: equation reernfa_au.ardl(deplags=3, reglags=3, fixed) reerln_au nfa_au totln_au
I've tried different things (i.e. declaring the equation before running the command) to no avail.
I'm using EViews 9.
Best regards.
I'm getting the following error message : "Equation or VAR specification is incomplete in "EQUATION
REERNFA_AU.ARDL(DEPLAGS=3, REGLAGS=3, FIXED) REERLN_AU NFA_AU TOTLN_AU"
When running the command: equation reernfa_au.ardl(deplags=3, reglags=3, fixed) reerln_au nfa_au totln_au
I've tried different things (i.e. declaring the equation before running the command) to no avail.
I'm using EViews 9.
Best regards.
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ardl command - error message
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