The Problem is that Robinson's LWE is only valid for stationary data. It depends on
the approximation of the spectrum of an ARFIMA-process and only the spectrum of an
stationary time series make sense. --> see Robinson's paper (1995, Semiparametric
Gaussian Estimation of Long-range Dependance). So you have to force the time series to be
stationary - of course integer differencing is an harsh way to achieve it, but it is
necessary as long as you don't use Shimotsu's LWE. You only have to add 1 to your
estimate for getting the differencing parameter. For the GPH-Estimator it is the same
issue...
I am always interested in discussing the properties of long-range time series ;-)
cheers
Date: Tue, 10 Aug 2010 15:19:11 +0300
From: talhayalta(a)gmail.com
To: gretl-users(a)lists.wfu.edu
Subject: Re: [Gretl-users] LW estimator and the GPH test
> don't forget to difference the time series because the tests in gretl are
> only valid for stationary data.
Does it really make sense to first difference the data to test for
fractional integration?
T
--
“Remember not only to say the right thing in the right place, but far
more difficult still, to leave unsaid the wrong thing at the tempting
moment.” - Benjamin Franklin (1706-1790)
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