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Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael Jansson
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This paper derives asymptotic power envelopes for tests of the unit root hypothesis in a zero-mean AR(1) model. The power envelopes are derived using the limits of experiments approach and are semiparametric in the sense that the underlying error distribution is treated as an unknown infinite-dimensional nuisance parameter. Adaptation is shown to be possible when the error distribution is known to be symmetric and to be impossible when the error distribution is unrestricted. In the latter case, two conceptually distinct approaches to nuisance parameter elimination are employed in the derivation of the semiparametric power bounds. One of these bounds, derived under an invariance restriction, is shown by example to be sharp, while the other, derived under a similarity restriction, is conjectured not to be globally attainable. Copyright 2008 The Econometric Society.
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Article provided by Econometric Society in its journal Econometrica .
Volume (Year): 76 (2008)
Issue (Month): 5 (09)
Pages: 1103-1142
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Handle: RePEc:ecm:emetrp:v:76:y:2008:i:5:p:1103-1142Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/ More information through EDIRC
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Michael Jansson & Morten Ørregaard Nielsen, 2009.
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"A class of Simple Semiparametrically Efficient Rank-Based Unit Root Tests ,"
ECARES Working Papers
2009_001, Université Libre de Bruxelles, Ecares.
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Other versions: Mathias D. Cattaneo & Richard K. Crump & Michael Jansson, 2007.
"Optimal Inference for Instrumental Variables Regression with non-Gaussian Errors ,"
CREATES Research Papers
2007-11, School of Economics and Management, University of Aarhus.
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Joseph P. Romano & Azeem M. Shaikh & Michael Wolf, 2009.
"Hypothesis testing in econometrics ,"
IEW - Working Papers
iewwp444, Institute for Empirical Research in Economics - IEW.
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