Estimation of Large-Scale BVARs
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rangangupta
- Posts: 5
- Joined: Thu May 28, 2009 3:26 am
Estimation of Large-Scale BVARs
Hello,
I have been trying to estimate a large-scale BVAR comprising of 120 quarterly series. However, I keep on getting the following error message:
## I1. Expected Instruction - V65 Is Not Recognizable As One
>>>> v65 <<<<
Would really appreciate some help. I am attaching both the data and the code that I am using. In case other parts of the code require modification as well, please do make the appropriate changes as well.
Thanks
Rangan
I have been trying to estimate a large-scale BVAR comprising of 120 quarterly series. However, I keep on getting the following error message:
## I1. Expected Instruction - V65 Is Not Recognizable As One
>>>> v65 <<<<
Would really appreciate some help. I am attaching both the data and the code that I am using. In case other parts of the code require modification as well, please do make the appropriate changes as well.
Thanks
Rangan
- Attachments
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- BVAR_Large.xls
- Data File
- (227 KiB) Downloaded 721 times
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- PROGRAM_USHP_RATS_Forum.txt
- Program
- (2.73 KiB) Downloaded 1105 times
Re: Estimation of Large-Scale BVARs
Your input lines are way too long. Break them into more manageable pieces with something like:
$ is the continuation character. If you leave it off and just break a line, RATS assumes that the next line is the start of a new instruction, hence your message. RATS will also break the line itself once it gets too long (500+ characters).
Note also that that's far too many variables to sensibly handle with the amount of data that you have.
Code: Select all
variables v1 v2 v3 v4 v5 v6 v7 $ v8 v9 v10 v11 v12 v13 v14 $ v15 v16 v17 v18 v19 v20 v21 $
v22 ....Note also that that's far too many variables to sensibly handle with the amount of data that you have.
-
rangangupta
- Posts: 5
- Joined: Thu May 28, 2009 3:26 am
Re: Estimation of Large-Scale BVARs
Thanks a lot, will give it a go. I will use the monthly version of this data set.
Regards
Rangan
Regards
Rangan