Dear Friends,
Is anyone have a piece of RATS code to do the nonlinear Granger causality test proposed by Joakim Skalin and Timo Teravirta, "Another Look at Swedish Business Cycles, 1861-1988", Journal of Applied Econometrics, Vol. 14, No. 4,
1999, pp. 359-378.
Thank you very much
Search found 4 matches
- Mon Mar 05, 2012 11:02 pm
- Forum: Structural Breaks and Switching Models
- Topic: NonLinear Granger Causality Test
- Replies: 1
- Views: 6985
- Sun Sep 25, 2011 3:12 am
- Forum: Examples and Sample Code
- Topic: Papell-Prodan(2006) Unit Root Tests with Breaks
- Replies: 2
- Views: 12403
Re: Papell-Prodan(2006) Unit Root Tests with Breaks
Dear Tom,
When I run the pp2006 code,I got the following:
## SX11. Identifier %%SHIFTS is Not Recognizable. Incorrect Option Field or Parameter Order?
>>>>(%minent) %%shifts(<<<<
for your information, I am using RATS 8.0. May I know Why this output? Tks.
When I run the pp2006 code,I got the following:
## SX11. Identifier %%SHIFTS is Not Recognizable. Incorrect Option Field or Parameter Order?
>>>>(%minent) %%shifts(<<<<
for your information, I am using RATS 8.0. May I know Why this output? Tks.
- Wed Feb 23, 2011 4:15 am
- Forum: General Econometrics
- Topic: CKLS Model for Interest Rates
- Replies: 2
- Views: 8417
Re: CKLS Model for Interest Rates
Dear Tom,
I have been reading on how to forecast based on NLLS models or GMM from the user guide. It was told that we need to group before do any forecasting. But I still cannot understand it. Can you kindly show to us step by step how to do it using the CKLS model as example.
I have been reading on how to forecast based on NLLS models or GMM from the user guide. It was told that we need to group before do any forecasting. But I still cannot understand it. Can you kindly show to us step by step how to do it using the CKLS model as example.
- Mon Jan 10, 2011 12:49 am
- Forum: State Space Models/DSGE
- Topic: Kalman Filter
- Replies: 1
- Views: 7694
Kalman Filter
Dear Friends, I have some questions need your help. For example, we need to estimate a model Y(t)= B(t)*X(t)+v and assume B(t) follow simple transitional process B(t)=aB(t-1)+u and assume the parameter A to be 1. As to my understanding, we should use the following code: compute sv=0.1**2,seta=0.02*...