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Power Properties of Nonlinearity Tests for Time Series with Markov Regimes Author info | Abstract | Publisher info | Download info | Related research | Statistics Zacharias Psaradakis (Birkbeck College, University of London)
Nicola Spagnolo (Brunel University)
This paper examines the relative performance of some popular nonlinearity tests when applied to time series generated by Markov switching autoregressive models. The nonlinearity tests considered include RESET-type tests, the Keenan test, the Tsay test, the McLeod--Li test, the BDS test, the White dynamic information matrix test, and the neural network test. Applications to economic time series are also considered.
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Article provided by Berkeley Electronic Press in its journal Studies in Nonlinear Dynamics & Econometrics .
Volume (Year): 6 (2002)
Issue (Month): 3 ()
Pages: 1091-1091
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Keywords: Markov chain Monte Carlo simulation nonlinearity tests regime switching References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Peter Tillmann, 2003.
"Cointegration and Regime-Switching Risk Premia in the U.S. Term Structure of Interest Rates ,"
Bonn Econ Discussion Papers
bgse27_2003, University of Bonn, Germany.
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Other versions: PeterTillmann, 2004.
"Cointegration and Regime-Switching Risk Premia in the U.S. Term Structure of Interest Rates ,"
Computing in Economics and Finance 2004
53, Society for Computational Economics.
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Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004.
"On Markov error-correction models, with an application to stock prices and dividends ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.
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