Search found 7 matches
- Tue May 27, 2014 4:44 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: Waggoner-Zha (2003) Gibbs sampler for a near-VAR
- Replies: 1
- Views: 4791
Waggoner-Zha (2003) Gibbs sampler for a near-VAR
I have another question regarding the choice of the optimal sampling method for a structural VAR with a near-VAR structure, i.e. where one or a block of variables is treated as exogenous. The RATS program montenearsvar shows how to implement a Metropolis-within-Gibbs sampler for this kind of models,...
- Fri Dec 06, 2013 10:15 am
- Forum: Examples and Sample Code
- Topic: Cushman & Zha JME 1997
- Replies: 19
- Views: 88012
Re: Cushman & Zha JME 1997
Dear Tom, sorry I have to bring up this topic once again. After another reading of the Cushman & Zha paper, I stumbled across the following passage on page 437: To avoid potentially unreasonable restrictions, the non-Canadian block y 2 is simply kept in its reduced form with normalization in the...
- Wed Oct 30, 2013 8:40 am
- Forum: Examples and Sample Code
- Topic: Cushman & Zha JME 1997
- Replies: 19
- Views: 88012
Re: Cushman & Zha JME 1997
Dear Tom, is there a RATS implementation of the rank condition for global identification developed by Rubio-Ramírez, Waggoner and Zha (RES 2010)? I tried to check this condition for the model that we are discussing here (Cushman and Zha JME 1997), but I always get matrices M j with different ranks b...
- Tue Apr 16, 2013 11:26 am
- Forum: RATS Procedures
- Topic: MCFEVDTABLE—Confidence bands for FEVD
- Replies: 5
- Views: 41806
Re: MCFEVDTABLE (Confidence bands for FEVD)
Thank you, now it works indeed. Should I be worried if my variance decomposition by variable does not add up to 100.0 for most of the variables and time horizons? For some of the longer horizons I even get values below 90.0... Of course the error bands are large enough to still allow for the 100.0 t...
- Tue Aug 14, 2012 6:31 am
- Forum: VARs (Vector Autoregression Models)
- Topic: Near-SVAR with Monte Carlo integration
- Replies: 4
- Views: 8880
Re: Near-SVAR with Monte Carlo integration
Maybe my question was not clear-cut enough... I would like to know how to proceed in order to obtain impulse responses from a structural VAR estimated with Random walk MH or Independence chain MH, in the vein of examples 6.4 and 6.5 of the RATS Handbook for Bayesian Econometrics. I know I have to us...
- Fri Aug 10, 2012 10:49 am
- Forum: VARs (Vector Autoregression Models)
- Topic: Near-SVAR with Monte Carlo integration
- Replies: 4
- Views: 8880
Re: Near-SVAR with Monte Carlo integration
Hello, I have acquired and studied both the VAR and the Bayesian Econometrics course material. However, I am still puzzled by the question of how to calculate the impulse responses for an SVAR using Metropolis-within-Gibbs (or Metropolis-Hastings, as it is usually called in the course material). Fro...
- Mon Jul 02, 2012 1:39 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: Near-SVAR with Monte Carlo integration
- Replies: 4
- Views: 8880
Near-SVAR with Monte Carlo integration
Hello, I am trying to set up a 7 variable near-VAR, where 3 (foreign) variables are assumed to stay unaffected by the other 4 (domestic) variables. Using the MonteSUR program, I am able to estimate the resulting impulse responses with a Cholesky factorization; however, I would prefer to apply a more...