Ok!! thank you so much!!!
Now I have a problem with the last line...
tcount += (Dsim > D)
error: unknown variable name in command..
2013/6/17 Artur Tarassow <artur.tarassow(a)googlemail.com>
It should be simply
set horizon 60
2013/6/17 Gabriela Nodari <gabriela.nodari(a)gmail.com>
> right!! thanks..
>
> Now the problem is with
>
> set horizon = 60
>
> error message: syntax error in command line...
>
>
> 2013/6/17 Artur Tarassow <artur.tarassow(a)googlemail.com>
>
>> You should delete the space in "var p y -- silent". So it should be
"var
>> p y --silent" instead.
>>
>> Artur
>>
>>
>> 2013/6/17 Gabriela Nodari <gabriela.nodari(a)gmail.com>
>>
>>> Dear all,
>>>
>>> I have run the varsimul() function and it works well!
>>>
>>> Now I am having some problems to estimate the var with simulated data..
>>>
>>> The code I am running is the following:
>>>
>>> scalar p = 6
>>> list y = 8 13 12 1 2 3
>>>
>>> var p y -- silent
>>> matrix Ac = $compan[1:6,]
>>> matrix U = $uhat.+$coeff[1,]
>>> matrix y0 = {var1, var2, var3, var4, var5, var6}[1:6,]
>>>
>>> list y1 = 8 13 12 1 2
>>> list x = 3
>>>
>>> var p y1; x
>>> matrix Ac1 = $compan[1:5,]
>>> matrix U1 = $uhat.+$coeff[1,]
>>> matrix y01 = {var1, var2, var3, var4, var5}[1:6,]
>>>
>>> loop (n. of replics)
>>> matrix Usim = resample(U)
>>> matrix Ysim = varsimul(Ac, Usim, y0)
>>> matrix Usim1 = resample(U1)
>>> matrix Ysim1 = vasimul(Ac1,Usim1,y01)
>>>
>>> series frs = Ysim[,1]
>>> series ips= Ysim[,2]
>>> ...
>>> series baas=Ysim[,6]
>>>
>>> var p frs ips ... baas
>>> ....
>>>
>>> Here I get error: invalid option '--' var p frs...
>>>
>>> I guess it is because I cannot enter these series in the var command..
>>>
>>>
>>> Could someone help me? How can I estimate the var with the simulated
>>> data?
>>>
>>> Thanks in advance..
>>> Gabriela
>>>
>>>
>>>
>>> 2013/6/14 Gabriela Nodari <gabriela.nodari(a)gmail.com>
>>>
>>>> Thank you very much! I will give a look to the varsimul function!!
>>>> On 14/06/2013 8:40 PM, "Allin Cottrell"
<cottrell(a)wfu.edu> wrote:
>>>>
>>>>> On Fri, 14 Jun 2013, Gabriela Nodari wrote:
>>>>>
>>>>> > I would like to obtain simulated data by bootstrapping the
>>>>> residuals of a
>>>>> > VAR model. I have gave a look to the gretl guide, and I found
>>>>> something
>>>>> > related to resampling and bootstrapping (section 7.4) [...]
>>>>>
>>>>> Check out the varsimul() function. Here's a simple example of
>>>>> use:
>>>>>
>>>>> <hansl>
>>>>> open data9-7
>>>>> var 4 PRIME UNEMP --silent
>>>>> matrix A = $compan[1:2,]
>>>>> # residuals + const
>>>>> matrix U = $uhat .+ $coeff[1,]
>>>>> # initial values
>>>>> matrix y0 = {PRIME, UNEMP}[1:4,]
>>>>> # simulate the VAR
>>>>> matrix X = varsimul(A, U, y0)
>>>>> # check that we got back the original data
>>>>> # (to within machine precision)
>>>>> eval X - {PRIME, UNEMP}
>>>>> # now resample U
>>>>> matrix Us = resample(U)
>>>>> matrix Xs = varsimul(A, Us, y0)
>>>>> # look at the simulated data
>>>>> print Xs
>>>>> </hansl>
>>>>>
>>>>> Use "set seed" if you want to be able to replicate the
>>>>> resampling. Put the last few lines in a loop for multiple
>>>>> simulations.
>>>>>
>>>>> Allin Cottrell
>>>>>
>>>>>
>>>>> _______________________________________________
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>>>>> Gretl-users(a)lists.wfu.edu
>>>>>
http://lists.wfu.edu/mailman/listinfo/gretl-users
>>>>>
>>>>
>>>
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>>>
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>>
>>
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