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Limit theory for moderate deviations from a unit root

Limit theory for moderate deviations from a unit root
Limit theory for moderate deviations from a unit root
An asymptotic theory is given for autoregressive time series with a root of the form , which represents moderate deviations from unity when is a deterministic sequence increasing to infinity at a rate slower than n, so that as . For , the results provide a rate of convergence and asymptotic normality for the first order serial correlation, partially bridging the and n convergence rates for the stationary () and conventional local to unity () cases. For the serial correlation coefficient is shown to have a convergence rate and a Cauchy limit distribution without assuming Gaussian errors, so an invariance principle applies when . This result links moderate deviation asymptotics to earlier results on the explosive autoregression proved under Gaussian errors for , where the convergence rate of the serial correlation coefficient is and no invariance principle applies.
0304-4076
115-130
Phillips, Peter Charles Bonest
f67573a4-fc30-484c-ad74-4bbc797d7243
Magdalinos, Tassos
ded74727-1ed4-417d-842f-00ea86a3bc31
Phillips, Peter Charles Bonest
f67573a4-fc30-484c-ad74-4bbc797d7243
Magdalinos, Tassos
ded74727-1ed4-417d-842f-00ea86a3bc31

Phillips, Peter Charles Bonest and Magdalinos, Tassos (2007) Limit theory for moderate deviations from a unit root. Journal of Econometrics, 136 (1), 115-130. (doi:10.1016/j.jeconom.2005.08.002).

Record type: Article

Abstract

An asymptotic theory is given for autoregressive time series with a root of the form , which represents moderate deviations from unity when is a deterministic sequence increasing to infinity at a rate slower than n, so that as . For , the results provide a rate of convergence and asymptotic normality for the first order serial correlation, partially bridging the and n convergence rates for the stationary () and conventional local to unity () cases. For the serial correlation coefficient is shown to have a convergence rate and a Cauchy limit distribution without assuming Gaussian errors, so an invariance principle applies when . This result links moderate deviation asymptotics to earlier results on the explosive autoregression proved under Gaussian errors for , where the convergence rate of the serial correlation coefficient is and no invariance principle applies.

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More information

Published date: 1 January 2007
Additional Information: Copyright © 2005 Elsevier B.V. All rights reserved.

Identifiers

Local EPrints ID: 472215
URI: http://eprints.soton.ac.uk/id/eprint/472215
ISSN: 0304-4076
PURE UUID: 84a5a31e-9618-46cb-bf7c-dea6f2d3e397
ORCID for Peter Charles Bonest Phillips: ORCID iD orcid.org/0000-0003-2341-0451

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Date deposited: 29 Nov 2022 17:49
Last modified: 16 Mar 2024 22:40

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