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Can regime-switching models reproduce the business cycle features of US aggregate consumption, investment and output? Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael P. Clements (Department of Economics, University of Warwick, UK)
Hans-Martin Krolzig (Department of Economics, University of Oxford, UK)
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The ability of Markov-switching (MS) autoregressive models to replicate selected classical business cycle features found in US post-war consumption, investment and output is compared to that of linear models. Univariate MS models appear to offer more dynamically parsimonious representations, but generally are unable to reproduce features missed by linear models. In the multivariate models, some cointegration restrictions were found to have a crucial impact, and the ability of models that imposed cointegration to reproduce business cycle features was enhanced by Markov switching. Copyright © 2004 John Wiley & Sons, Ltd.
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Article provided by John Wiley & Sons, Ltd. in its journal International Journal of Finance & Economics .
Volume (Year): 9 (2004)
Issue (Month): 1 ()
Pages: 1-14
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Handle: RePEc:ijf:ijfiec:v:9:y:2004:i:1:p:1-14Contact details of provider: Web page: http://www.interscience.wiley.com/jpages/1076-9307/
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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.: Canova, Fabio, 1998.
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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.)
David N. DeJong & Hariharan Dharmarajan & Roman Liesenfeld & Jean-Francois Richard, 2008.
"Exploiting Non-Linearities in GDP Growth for Forecasting and Anticipating Regime Changes ,"
Working Papers
367, University of Pittsburgh, Department of Economics, revised Sep 2008.
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James Morley & Jeremy M. Piger, 2005.
"The importance of nonlinearity in reproducing business cycle features ,"
Working Papers
2004-032, Federal Reserve Bank of St. Louis.
[Downloadable!]
James Morley & Jeremy Piger & Pao-Lin Tien, 2009.
"Reproducing Business Cycle Features: How Important Is Nonlinearity Versus Multivariate Information? ,"
Wesleyan Economics Working Papers
2009-003, Wesleyan University, Department of Economics.
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