Hello everyone,
I am currently trying to get a VAR model to work, however when I try it I get the error message "Insufficient number of observations to estimate ## coefficients per equation in VAR." Can anyone please tell me why this is happening? The file is attached, so if anyone does have some spare time to help me I would appreciate it.
A little bit more information about what I am trying to do:
I am trying to construct a VAR model, with the change_in_GINI being the dependent variable and all the rest being independent. The lag should be 4. I am currently using EViews 8.
Thank you very much in advance!
Trying to make a VAR model work but constantly getting error
Moderators: EViews Gareth, EViews Moderator
Trying to make a VAR model work but constantly getting error
- Attachments
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- vvv data.WF1
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startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Trying to make a VAR model work but constantly getting e
You have 14 observations. Each variable in the VAR uses one parameter per lag. If you have four lags and four variables, for example, that means 16 parameters.
Re: Trying to make a VAR model work but constantly getting e
Thank you for your quick reply. What do you recommend I do? The lag should be 4. Shall I gather more data or eliminate some of the variables? One more thing, when I run the VAR (with 1 lag) I only get 14 observation, why is this? I thought since I have 14 years of data and 7 variables, I have to have 98 observations not 14.
Thank you again!
Thank you again!
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Trying to make a VAR model work but constantly getting e
Gather more data.Thank you for your quick reply. What do you recommend I do? The lag should be 4. Shall I gather more data or eliminate some of the variables? One more thing, when I run the VAR (with 1 lag) I only get 14 observation, why is this? I thought since I have 14 years of data and 7 variables, I have to have 98 observations not 14.
Thank you again!
A VAR is just a collection of regressions. So you have 14 observations in each regression.
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