Search found 34 matches
- Fri Feb 12, 2016 10:31 am
- Forum: Programming
- Topic: Check existence of page
- Replies: 2
- Views: 3582
Re: Check existence of page
Seems obvious now that you say it, but it wasn't in the list I was looking at (evidently the wrong one). But anyway, thanks!
- Fri Feb 12, 2016 3:24 am
- Forum: Programming
- Topic: Check existence of page
- Replies: 2
- Views: 3582
Check existence of page
Hi, I am creating a script in which additional pages will be created for working with various frequencies. The only page the user needs to supply is a page with the daily frequency. However, if there is a page with the name "W" already, it will create "W1". How do I check the exi...
- Mon Jun 23, 2014 1:34 am
- Forum: Programming
- Topic: Problem with strings and variables
- Replies: 1
- Views: 3274
Re: Problem with strings and variables
I think I got it now. The last part of the example code is replaced by string exclude for !i=1 to @wcount(%variable) %temp = @word(%variable, !i) + "(" + @addquotes(%smpl) + ")" exclude = @wunion(exclude, %temp) next model.exclude {exclude} which seems to work the way I want it to.
- Mon Jun 23, 2014 12:22 am
- Forum: Programming
- Topic: Problem with strings and variables
- Replies: 1
- Views: 3274
Problem with strings and variables
Hi! I have a program which is based on a prompt where the user provides a number of inputs. I'm now extending it and having some problems with one part. The program is for forecasting purposes, and what I would like to have is the user provide a list of variables and a sample for which these variabl...
- Wed Aug 07, 2013 3:02 am
- Forum: Add-in Support
- Topic: Bayesian VAR
- Replies: 63
- Views: 208319
Re: Bayesian VAR
Just to have this confirmed: the impulse responses are not accumulated, correct?
- Mon Aug 05, 2013 3:48 am
- Forum: Add-in Support
- Topic: Bayesian VAR
- Replies: 63
- Views: 208319
Re: Bayesian VAR
the number of df is defined to be v>m+1, not v>=m+1. I know your reference is Brandt & Freeman (2006), but I can't find it in there. They say that "v>0" which doesn't make much sense either... The Inverse-Wishart (or Wishart) distribution has finite expectations and can be invertible ...
- Fri Aug 02, 2013 7:37 am
- Forum: Add-in Support
- Topic: Bayesian VAR
- Replies: 63
- Views: 208319
Re: Bayesian VAR
Another question: Why is the prior degrees of freedom (v) equal to the number of endogenous variables (m) plus 1? In "Numerical Methods for Estimation and Inference in Bayesian VAR-models" (1997) by Kadiyala & Karlsson the number of df is defined to be v>m+1, not v>=m+1. I know your re...
- Mon Jul 29, 2013 4:59 am
- Forum: Add-in Support
- Topic: Bayesian VAR
- Replies: 63
- Views: 208319
Re: Bayesian VAR
I found it! In the szmodel.prg file, {%temp1} = @transpose({%X})*{%Y}+{%temp1} should simply be changed to {%temp1} = @transpose({%X})*{%Y} and, correspondingly, for the covariance matrix matrix {%St} = ({%S0} + @inner({%Y},{%Y}) + {%temp} - @transpose({%Bh})*{%hstar1}*{%Bh} ) should be changed to m...
- Thu Jul 25, 2013 12:36 am
- Forum: Add-in Support
- Topic: Bayesian VAR
- Replies: 63
- Views: 208319
Re: Bayesian VAR
Hi,
If I'd like to use the Sims-Zha Normal-Wishart prior, but change the prior expectation of the AR(1) coefficients to 0 instead of 1, where would I make this change? I can't really seem to figure out where it is exactly... Thanks in advance!
If I'd like to use the Sims-Zha Normal-Wishart prior, but change the prior expectation of the AR(1) coefficients to 0 instead of 1, where would I make this change? I can't really seem to figure out where it is exactly... Thanks in advance!
- Wed Jun 05, 2013 6:11 am
- Forum: Programming
- Topic: Impulse Response Functions
- Replies: 4
- Views: 7840
Re: Impulse Response Functions
It turns out that what I was missing was that the coefficient matrix needed to be transposed first. Now it yields the same output as Eviews!
- Tue Jun 04, 2013 8:14 am
- Forum: Programming
- Topic: Impulse Response Functions
- Replies: 4
- Views: 7840
Re: Impulse Response Functions
I tested with letting the P matrix be the identity matrix to get the same as the built-in function with one unit innovations. I realized that the assignment of values to the final table was not entirely correct as some matrices needed to be transposed first for the assignment to be correct. I'm assu...
- Tue Jun 04, 2013 5:47 am
- Forum: Programming
- Topic: Impulse Response Functions
- Replies: 4
- Views: 7840
Re: Impulse Response Functions
Hi again, I have been working on this a while now, it's making me a little crazy. My code yields the same output for the first time period as I get when using the built-in function, but for some reason after that it's different. I have been looking at Helmut Lütkepohl's New Introduction to Multiple ...
- Wed Apr 24, 2013 12:41 pm
- Forum: Programming
- Topic: Impulse Response Functions
- Replies: 4
- Views: 7840
Impulse Response Functions
Hi, I'm trying to program the impulse response functions using the Cholesky factorization, but I'm somewhat stuck. I need them for VARs with restrictions (i.e. estimated in a system object). Here's what I have to start with: Edit: See next post I always thought it was the Cholesky decomposition (i.e...
- Sat Feb 23, 2013 9:11 am
- Forum: Programming
- Topic: VAR without intercept
- Replies: 1
- Views: 3638
VAR without intercept
Hi, How do I estimate a VAR model without an intercept? In the following code, all three models are equivalent. create u 100 rndseed 1 series y=nrnd series x=nrnd var v1.ls 1 2 x y var v2.ls 1 2 x y @ var v3.ls 1 2 x y @ c Nothing following the endogenous variables or @ followed by nothing would be ...
- Fri Nov 16, 2012 12:31 am
- Forum: Programming
- Topic: Transformation of series - returns NAs
- Replies: 2
- Views: 4126
Re: Transformation of series - returns NAs
Thanks, Gareth. I was suspecting that the NAs were a result of the type of calculation you described. I'll use my way around it then, but at least now I know for sure that there is nothing else causing the missing observations.
