1999
DOI: 10.1016/s0304-4076(98)00080-3
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Non-stationary log-periodogram regression

Abstract: We study asymptotic properties of the log-periodogram semiparametric estimate of the memory parameter d for non-stationary (d* ) time series with Gaussian increments, extending the results of Robinson (1995) for stationary and invertible Gaussian processes. We generalize the de"nition of the memory parameter d for non-stationary processes in terms of the (successively) di!erentiated series. We obtain that the log-periodogram estimate is asymptotically normal for d3 [ , ) and still consistent for d3[ , 1). We … Show more

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Cited by 226 publications
(143 citation statements)
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References 16 publications
(55 reference statements)
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“…the log-periodogram estimator introduced by Geweke and Porter-Hudak (1983). It remains consistent for d close to one and is distributed asymptotically normal for d < 0.75, see Velasco (1999).…”
Section: Estimating the Order Of Fractional Integrationmentioning
confidence: 95%
“…the log-periodogram estimator introduced by Geweke and Porter-Hudak (1983). It remains consistent for d close to one and is distributed asymptotically normal for d < 0.75, see Velasco (1999).…”
Section: Estimating the Order Of Fractional Integrationmentioning
confidence: 95%
“…As mentioned above, Shimotsu's (2006) semiparametric estimator provides power rate consistent estimators of d 1 for the case where the DGP contains a linear or a quadratic trend whereas Velasco's (1999) estimator is invariant to a linear (and possibly higher order) time trend.…”
Section: Slowly Evolving Deterministic Componentmentioning
confidence: 99%
“…Among them, the estimators proposed by Abadir et al (2005), Shimotsu (2006) and Velasco (1999) provide convenient choices since they also cover the case where deterministic components are present, as we do in section 3.…”
Section: De…nitionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Tapering is a major benefit when dealing with possibly over-differentiated (non-invertible) or non-stationary series (see Hurvich and Chen [15], see also Velasco [24]). Our GOF procedure may apply in those cases but we shall restrict our attention to invertible and stationary processes, which imply in particular 0 ≤ d < 1/2.…”
Section: Taperingmentioning
confidence: 99%