In this paper we propose a method to derive the spectral representation in the case of a particular class of nonlinear models: Markov Switching ARMA models. The procedure simply relies on the application of the Riesz-Fisher Theorem which describes the spectral density as the Fourier transform of the autocovariance functions. We explicitly show the analytical structure of the spectral density in the simple Markov Switching AR(1). Finally, a monetary policy application of a Markov Switching VAR(4) is presented
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Alexei Onatski & Noah Williams, 2003.
"Modeling Model Uncertainty,"
NBER Working Papers
9566, National Bureau of Economic Research, Inc.
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Otrok, Christopher, 2001.
"Spectral Welfare Cost Functions,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(2), pages 345-67, May.