Search found 7 matches
- Thu Oct 25, 2018 5:24 am
- Forum: VARs (Vector Autoregression Models)
- Topic: AD-AS SVAR
- Replies: 22
- Views: 35443
Re: AD-AS SVAR
Hi Tom, I was wondering if you could help me with setting this model up for a bivariate VAR. Would the following code do it, and can I then use the "factor" option in the cvmodel command to conduct innovation accounting (IRFs, FEVDs and historical decomps)? Thanks in advance! system(model=...
- Wed Jun 01, 2016 3:59 am
- Forum: Other Time Series Analysis
- Topic: VAR with time-varying parameters and stochastic volatility
- Replies: 51
- Views: 183102
Re: VAR with time-varying parameters and stochastic volatili
a basic question on the code; is it robust to different number of endogenous variables (in my case, four) and adding dummies as exogenous variables (in my case, the exogenous part would be a n x 4 matrix rather than a n x 1 vector).
thanks in advance!
thanks in advance!
- Tue Apr 05, 2016 10:05 am
- Forum: Panel Data
- Topic: Panel VAR with analytical extensions
- Replies: 2
- Views: 7623
Re: Panel VAR with analytical extensions
Hi, I would like to estimate a panel VAR which has 60 observations for 3 variables across 5 groups. I think I have found the code here to do the usual Eakin-Newey-Rosen type basic estimation of this. However, I would then like to get IRFs for each group and each variable, as well as the aggregate m...
- Thu Mar 24, 2016 1:26 pm
- Forum: Panel Data
- Topic: Panel VAR with analytical extensions
- Replies: 2
- Views: 7623
Panel VAR with analytical extensions
Hi, I would like to estimate a panel VAR which has 60 observations for 3 variables across 5 groups. I think I have found the code here to do the usual Eakin-Newey-Rosen type basic estimation of this. However, I would then like to get IRFs for each group and each variable, as well as the aggregate mo...
- Mon Nov 02, 2015 10:53 am
- Forum: VARs (Vector Autoregression Models)
- Topic: VECM results vs other programmes
- Replies: 10
- Views: 11837
Re: VECM results vs other programmes
thanks. actually, managed to get the same results for the unconditional forecasts. i don't think it matters where the constants are in the VECM for the forecast. however, wondering why i can't produce conditional forecasts as expected. i.e., if i assume i know the path for rcc_log and uncert from 20...
- Mon Nov 02, 2015 6:03 am
- Forum: VARs (Vector Autoregression Models)
- Topic: VECM results vs other programmes
- Replies: 10
- Views: 11837
Re: VECM results vs other programmes
Thanks Tom! i have modified the code slightly (below); this now gives me IRFs which are close to what the other programme gives. however, IRFs are not exactly the same, and the forecasts for the variable i'm interested in (i_log) look very different. not sure why this is, could be that the constants...
- Fri Oct 30, 2015 9:19 am
- Forum: VARs (Vector Autoregression Models)
- Topic: VECM results vs other programmes
- Replies: 10
- Views: 11837
VECM results vs other programmes
Hi, for some reason, I cannot replicate the results for a simple VECM i get from another econometric package (EViews), and i was wondering if you could tell me why. the model is an unrestricted VECM with one cointegrating vector and 1 lag. is there something in the way the VECM is set up in Rats tha...