Dear Riccardo, Thank you! I really neglected filter() up to the moment!
Dear Artur, After Riccardo's note we are simply bounded to make something
interesting. Oleh
P.S. May I make use this opportunity and ask Riccardo a somewhat silly question: With the
file you sent me I failed to reproduce Table 17.8 in Greene, 7-th, case Logit F.E.(C)^b,
using felogit It should be the same Chamberlain’s estimator.
2 січня 2016, 18:49:59, від "Riccardo (Jack) Lucchetti" <
r.lucchetti(a)univpm.it >:
On Fri, 1 Jan 2016, oleg_komashko(a)ukr.net wrote:
I think it's a good idea You can download it at
http://ricardo.ecn.wfu.edu/gretl/staging_fnfiles/lagreg.zip I'm not
sure, it seems less general but more easy to use It's intended mostly
for intermediate level courses Also I almost finished functions for
automated mean and median lags computing Oleh
1 січня 2016, 13:39:01, від "Artur Tarassow" < artur.tarassow(a)googlemail.com
>:
Actually the dynMultipl-Package needs some revision. I already started
to update the package and hopefully will upload it soon.
None of my business, really, but if you two guys could cooperate for
putting together a nice package for ARDL/ECM, that would be _very_ nice.
By the way: I've noticed that people tend to overlook the filter()
function, which can do amazing things for you ;-)
<hansl>
open AWM --quiet
series y = ln(YER)
series c = ln(PCR)
series w = ln(WLN/PCD)
ols c const time y(0 to -4) w(0 to -2) c(-1 to -2)
ycoef = $coeff[3:7]
wcoef = $coeff[8:10]
ARcoef = $coeff[11:12]
scalar horizon = 20
matrix shock = ones(horizon + 1, 2)
shock[2:,1] = 0
multy = filter(shock, ycoef, ARcoef)
multw = filter(shock, wcoef, ARcoef)
sim_y = quantile(filter(1 | mnormal(horizon, 1000), ycoef, ARcoef)', 0.5)'
print multy multw sim_y
</hansl>
I'm sure you two guys need no pedantic explanation of the above
-------------------------------------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/servizi/hpp/lucchetti
-------------------------------------------------------
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