Search found 18 matches
- Tue Jul 07, 2015 7:58 am
- Forum: Data: Reading, Writing, Transforming
- Topic: variables transformation
- Replies: 2
- Views: 6551
Re: variables transformation
Great Thanks!
- Sat Jul 04, 2015 7:22 am
- Forum: Data: Reading, Writing, Transforming
- Topic: variables transformation
- Replies: 2
- Views: 6551
variables transformation
Dear Tom Looks like RATS do not accept "/" as exponent. There is, if I do: display 9**(0.5) it gives me 3, but if I do display 9**(1/2) it gives me 1 I actually needed a formula like: set interm = inter**(1/12) to calculate monthly interest from the yearly value, but it does not work If I ...
- Thu Jun 25, 2015 6:17 pm
- Forum: Looking for Code?
- Topic: Sticky Prices - Jadresic (1999)
- Replies: 6
- Views: 8325
Re: Sticky Prices - Jadresic (1999)
Tom as I said it is working, but I am having a strange message (error message?) before getting the results, as follows. Is it a problem? ## NL6. NONLIN Parameter LAMBDA(1) Has Not Been Initialized. Trying 0 ## NL6. NONLIN Parameter LAMBDA(2) Has Not Been Initialized. Trying 0 ## NL6. NONLIN Paramete...
- Wed Jun 03, 2015 5:07 pm
- Forum: Looking for Code?
- Topic: Sticky Prices - Jadresic (1999)
- Replies: 6
- Views: 8325
Re: Sticky Prices - Jadresic (1999)
Thanks Tom. It did work!
- Tue Jun 02, 2015 5:29 pm
- Forum: Looking for Code?
- Topic: Sticky Prices - Jadresic (1999)
- Replies: 6
- Views: 8325
Re: Sticky Prices - Jadresic (1999)
Dear Tom First of all, thanks to responding my question on Jadresic's paper. I am trying to run the codes you've sent me, but i am having trouble on the following: compute n=8 dec vect[series] fmhat(n) do i=1,n filter(type=lagging,span=i) mhat / fmhat(i) end do i * After passing the "filter(...
- Mon Jun 01, 2015 5:24 pm
- Forum: Looking for Code?
- Topic: Sticky Prices - Jadresic (1999)
- Replies: 6
- Views: 8325
Sticky Prices - Jadresic (1999)
Does anyone have Jadresic RATS' code used in the 1999 article "Sticky Prices: an empirical assessment of alternative models?"
- Mon Nov 25, 2013 7:32 am
- Forum: Looking for Code?
- Topic: Heino Bohn Nielsen outlier detection
- Replies: 0
- Views: 3804
Heino Bohn Nielsen outlier detection
Dear Friend,
Does anyone has a procedure to additive outlier detection and modeling, based on Nielsen (2004) paper.
[Econometrics Journal (2004), vol 7, pp249-271].
thanks
Ricardo
Does anyone has a procedure to additive outlier detection and modeling, based on Nielsen (2004) paper.
[Econometrics Journal (2004), vol 7, pp249-271].
thanks
Ricardo
- Wed Mar 27, 2013 4:12 pm
- Forum: Help With Programming
- Topic: IRF minimum distance estimator
- Replies: 1
- Views: 6941
IRF minimum distance estimator
Hello Tom I am using a program based on something I’ve gotten on RATS forum for IRF minimum distance estimator. Program is running OK, but the CEEMETRIC statistic comes out with different values in successive runs. Also, there is message of no convergence in the output. Can you give some tips on how...
- Fri Aug 24, 2012 10:19 am
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Dear Sr, I am using NOLIN command with FIND, to do a Minimum Distance Estimation in the following way: nonlin(parmset=dsgeparms) b1 b2 nai delta1 delta2 gamma1 gamma2 gamma3 declare real ceemetric find(parmset=dsgeparms) minimum ceemetric dsge(a=a,f=f,model=loanmodel) y rm l rl eta @dlmirf(a=a,f=f*....
- Tue Aug 21, 2012 5:40 am
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Hello Tom
My estimation worked all right using find(parmset=dsgeparms), and I am getting the value function and
variables coefficients. A final question is: how can I get the coefficient estimate standard errors?
regards
Ricardo
My estimation worked all right using find(parmset=dsgeparms), and I am getting the value function and
variables coefficients. A final question is: how can I get the coefficient estimate standard errors?
regards
Ricardo
- Mon Aug 20, 2012 9:15 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Thanks Tom, It did work.
- Mon Aug 20, 2012 3:16 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Tom
When I do
find(parmset=dsgeparms) minimum ceemetric
it starts printing the last set of graphs indefinitely. That is, it prints the same graph (last graph) all over again.
Any idea of what is happening?
When I do
find(parmset=dsgeparms) minimum ceemetric
it starts printing the last set of graphs indefinitely. That is, it prints the same graph (last graph) all over again.
Any idea of what is happening?
- Mon Aug 20, 2012 10:26 am
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Hello Tom My minimum distance estimator model is working, but I would be very thankful you helping me with a couple of things: 1) The model sets up the parameters (b1=2.1887, b2=0.0142, nai=0.0010, and so on) to do a DSGE and calculate the minimum distance estimator. In the Huelsewig paper, however,...
- Thu Aug 02, 2012 4:08 pm
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Tom, I am running this model, but a couple of bugs have come up open data credsin3.xls calendar(q) 1995:1 data(format=xls,org=columns) 1995:1 2012:1 pibr dpib selic cred x11(multiplicative,adjusted=apibr) pibr x11(multiplicative,adjusted=adpib) dpib x11(multiplicative,adjusted=acred) cred set lpibr...
- Thu Aug 02, 2012 8:38 am
- Forum: VARs (Vector Autoregression Models)
- Topic: IRF minimum distance estimator
- Replies: 16
- Views: 23805
Re: IRF minimum distance estimator
Dear Tom
If you tell me how to produce the estimated IRF's to the rate shock [estimated(i,1)] and its corresponding
corresponding variances [estvar(i,1)] in the VAR model, I could plug in the program you've sent me.
regards
Ricardo
If you tell me how to produce the estimated IRF's to the rate shock [estimated(i,1)] and its corresponding
corresponding variances [estvar(i,1)] in the VAR model, I could plug in the program you've sent me.
regards
Ricardo