Search found 15 matches
- Tue Aug 09, 2011 1:01 am
- Forum: Examples and Sample Code
- Topic: Mountford & Uhlig JAE 2009 replication files
- Replies: 19
- Views: 106086
Re: Mountford & Uhlig JAE 2009 replication files
Thanks for your code. However, I have a question that why simplex algorithm is needed to be performed after genetic algorithm? I am curious that why the genetic algorithm cannot be used alone for obtaining the minimum point since genetic algorithm itself is the optimization tool like simplex algorit...
- Wed Apr 06, 2011 7:56 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: About forcedfactor.src
- Replies: 3
- Views: 6547
Re: About forcedfactor.src
Thanks for TomDoan's reply. Now my question is, why PI is needed to found? As I understand, forcedfactor.src is used to find out the decomposition factor F of sigma given that first r columns of F is A: (n x r), as the code requires. However, the code intends to find out F given the first columns of...
- Wed Apr 06, 2011 8:13 am
- Forum: VARs (Vector Autoregression Models)
- Topic: About forcedfactor.src
- Replies: 3
- Views: 6547
About forcedfactor.src
Hi all, I used forcedfactor.src in WINRATS to get the decomposition factor of covariance matrix recently. I would like to know how the code is written based on theory. I looked at the code by myself but I do not have much idea why and how the code is written like this and SVD decomposition is involv...
- Mon Jun 22, 2009 9:31 am
- Forum: VARs (Vector Autoregression Models)
- Topic: Check stationarity of VAR
- Replies: 9
- Views: 73456
Check stationarity of VAR
I would like to implement a code to check whether the VAR is stationary or not. Given the VAR, A(L)y_t = e_t If the VAR is stationary, then det(A(z)) = 0 has all roots that lie outside unit circle. However, if one of the roots lies inside the unit circel, then the VAR is said to be non-stationary. I...
- Sun Jun 14, 2009 11:04 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: Identifying VARs with sign restrictions
- Replies: 103
- Views: 149863
Re: Identifying VARs with sign restrictions
Here's the code that I modified from this post. I also downloaded Forcefactor.src and installed it in WINRAT in order to run the program file. * * Replication File for Uhlig (2005), "What are the effects of monetary policy on output? * Results from an agnostic identification procedure." Jo...
- Tue Jun 09, 2009 4:54 am
- Forum: VARs (Vector Autoregression Models)
- Topic: How to set up the Jeffreys Prior for VECM?
- Replies: 5
- Views: 8559
Re: How to set up the Jeffreys Prior for VECM?
If I choose not to transform VECM into VAR, how can I set the Jeffreys Prior for VECM given the cointegrating vector has to be estimated ? The Jeffreys Prior can be set easily for VECM by using the commands introduced in P.497-498 in User Guide if the cointegrating vector is fixed. In this case, xx ...
- Sun May 31, 2009 11:51 am
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
Re: About procedure @shortandlong
As I understand from footnote 10, it is regarding to the shocks recuperated from LONG-run restrictions, eps_head_1 to eps_head_3. That means we impose the pattern matrix of long-run multiplier to be lower triangular, based on my understanding of footnote 10. To recuperate eps_2, as Beaudry & Por...
- Sat May 30, 2009 11:00 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
Re: About procedure @shortandlong
Here is my situation: I tried to replicate Beaudry and Portier (2006), "Stock Prices, News and Economic Flucutations". For two-variable case, I have no problem by imposing Cholesky Decomposition for short-run restriction and Blanchard-Quah Decomposition for long-run restriction. However, f...
- Sat May 30, 2009 3:01 am
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
Re: About procedure @shortandlong
"you can use one or the other for defining a factorization, but not both."
I am not quite sure what the above statement clearly. Could you give some specific example how to use one or the other for defining a factorization.
Sorry about that...
I am not quite sure what the above statement clearly. Could you give some specific example how to use one or the other for defining a factorization.
Sorry about that...
- Fri May 29, 2009 1:33 am
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
Re: About procedure @shortandlong
compute alphaperp=%perp(%vecmalpha) compute betaperp =%perp(beta) compute masums=betaperp*inv(tr(alphaperp)*%varlagsums*betaperp)*tr(alphaperp) I have tried to use the above command to get the long-run multiplier for just-identified VECM. However, when I attempt to solve for the decomposition factor...
- Thu May 28, 2009 3:56 am
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
Re: About procedure @shortandlong
Thanks, Tom... I understand. At the same time, I would like to know why vec(B) = perp(R)*theta and why theta = inv(tr(perp(R))*perp(R))*tr(perp(R))*vec(B)? I guess how theta = inv(tr(perp(R))*perp(R))*tr(perp(R))*vec(B) is evolved can be related to ordinary least square method that we could get beta...
- Tue May 26, 2009 9:44 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
Re: About procedure @shortandlong
Thanks, Tom.... Furthermore, I also have one question about this procedure. I would like to know how the matrix "R" is compute and how R*vec(B) = 0 is evolved. In User's Guide, R*vec(B) = 0 is mentioned but there is no theoretical explanation about that. Is there any technical reference th...
- Tue May 26, 2009 3:12 am
- Forum: VARs (Vector Autoregression Models)
- Topic: How to set up the Jeffreys Prior for VECM?
- Replies: 5
- Views: 8559
How to set up the Jeffreys Prior for VECM?
In RATS User's Guide, Jeffreys Prior is introduced for VAR (P.493) for computation of Impulse Response. However, how can I set up the Jeffreys Prior for VECM? For me, I first transformed the VECM to VAR, and then set up the Jeffreys Prior for the transformed VAR. Is it appropriate to do that? If not...
- Sun Apr 26, 2009 10:42 am
- Forum: VARs (Vector Autoregression Models)
- Topic: About procedure @shortandlong
- Replies: 13
- Views: 17911
About procedure @shortandlong
In RATS, the procedure @shortandlong is used to evaluate the impact factor matrix based on short-run and long-run restrictions of Structural VAR. I would like to know that whether it can be also used to evaluate the impact factor matrix based on Structural VECM (error-correction model).
- Thu Apr 09, 2009 11:45 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: About Calculation of Long-Run matrix of Structural VECM
- Replies: 0
- Views: 5693
About Calculation of Long-Run matrix of Structural VECM
I have a question about the calculation of long-run matrix of Structural VECM. In RATS, it is easy to get the long-run matrix by using %VARLAGSUMS or %MODELLAGSUMS during the estimation of Structural VAR. However, if structural VECM is being estimated, only %VARLAGSUMS can be used. I have two questi...