Title of article
Unit root log periodogram regression
Author/Authors
Phillips، نويسنده , , Peter C.B.، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2007
Pages
21
From page
104
To page
124
Abstract
Log periodogram (LP) regression is shown to be consistent and to have a mixed normal limit distribution when the memory parameter d = 1 . Gaussian errors are not required. The proof relies on a new result showing that asymptotically infinite collections of discrete Fourier transforms (dftʹs) of a short memory process at the fundamental frequencies in the vicinity of the origin can be treated as asymptotically independent normal variates, provided one does not include too many dftʹs in the collection.
Keywords
Semiparametric estimation , Unit root , Long memory parameter , Asymptotic independence , Log periodogram regression , Nonstationarity , Discrete Fourier Transform , Fractional integration
Journal title
Journal of Econometrics
Serial Year
2007
Journal title
Journal of Econometrics
Record number
1559158
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