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Stationarity Testing With Covariates

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Author Info
Jansson, Michael

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Abstract

Two new stationarity tests are proposed. Both tests can be viewed as generalizations of existing stationarity tests and dominate these in terms of local asymptotic power. Improvements are achieved by accommodating stationary covariates. A Monte Carlo investigation of the small sample properties of the tests is conducted, and an empirical illustration from international finance is provided.

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File URL: http://journals.cambridge.org/abstract_S0266466604201037
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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 20 (2004)
Issue (Month): 01 (February)
Pages: 56-94
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:etheor:v:20:y:2004:i:01:p:56-94_20

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  1. Ulrich Müller & Mark W. Watson, 2009. "Low-Frequency Robust Cointegration Testing," NBER Working Papers 15292, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Jushan Bai & Serena Ng, 2001. "A New Look at Panel Testing of Stationarity and the PPP Hypothesis," Boston College Working Papers in Economics 518, Boston College Department of Economics. [Downloadable!]
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  3. Eiji Kurozumi & Yoichi Arai, 2006. "Test for the null hypothesis of cointegration with reduced size distortion," Hi-Stat Discussion Paper Series d06-190, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
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This page was last updated on 2009-10-28.


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