Thanks to Thomas, Roger and Spencer on your reply!
I am trying to replicate/validate the results from the "black box"
Econometrics software Eviews, compared to R and EViews uses the Almon
approach. I will try the code kindly offered by Thomas.
I would be interested in the way to apply the B-spline expansion in lm()
Thanks!
Francisco
>From: Roger Koenker <roger at ysidro.econ.uiuc.edu>
>To: Thomas Lumley <tlumley at u.washington.edu>
>CC: r-help <r-help at stat.math.ethz.ch>
>Subject: Re: [R] Polynomial lags
>Date: Tue, 21 Oct 2003 09:57:10 -0500 (CDT)
>
>For what it is worth, I would have thought that expressing
>the lag coefficients in a B-spline expansion would be preferable
>to going back to Almon approach. This would give a relatively
>simple lm() application.
>
>
>url: www.econ.uiuc.edu/~roger/my.html Roger Koenker
>email rkoenker at uiuc.edu Department of Economics
>vox: 217-333-4558 University of Illinois
>fax: 217-244-6678 Champaign, IL 61820
>
>On Tue, 21 Oct 2003, Thomas Lumley wrote:
>
> > On Tue, 21 Oct 2003, Spencer Graves wrote:
> >
> > > Have you checked "www.r-project.org" -> search ->
"R site search"? I
> > > just got 15 hits for "polynomial lag". If you
haven't already tried
> > > this, I'd guess that some of these hits (though certainly not
all)
>might
> > > help you.
> > >
> >
> > Only one of these is about polynomial distributed lag models, and
it's
>an
> > apparently unsuccessful request for information.
> >
> > I have code
> > http://faculty.washington.edu/tlumley/pdl.R
> > and documentation
> > http://faculty.washington.edu/tlumley/pdlglm.html
> > for a version for generalised linear models.
> >
> > Note that I have not used this for some years, so it may run into
>problems
> > with changes in R. Also note that it is just a generalised linear
model
> > -- it doesn't do anything about residual autocorrelation (which
isn't a
> > problem in the application I was working on).
> >
> >
> > -thomas
> >
> > ______________________________________________
> > R-help at stat.math.ethz.ch mailing list
> > https://www.stat.math.ethz.ch/mailman/listinfo/r-help
> >
>
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