Non-Markovian Regime Switching with Endogenous States and Time-Varying State Strengths

Michael Dueker

No 34, Econometric Society 2004 Latin American Meetings from Econometric Society

Abstract: This article presents a non-Markovian regime switching model in which the regime states depend on the sign of an autoregressive latent variable. The magnitude of the latent variable indexes the `strength' of the state or how deeply the system is embedded in the current regime. The autoregressive nature of this non-Markovian regime switching implies time-varying state transition probabilities, even in the absence of an exogenous covariate. Furthermore, with time-varying regime strengths, the expected duration of a regime is time-varying. In this framework, it is natural to allow the autoregressive latent variable to be endogenous so that regimes are determined jointly with the observed data. We apply the model to GDP growth, as in Hamilton (1989), Albert and Chib (1993) and Filardo and Gordon (1998) to illustrate the relation of the regimes to NBER-dated recessions and the time-varying expected durations of regimes

Keywords: Regime switching; Markov Chain Monte Carlo (search for similar items in EconPapers)
JEL-codes: C22 C25 F42 (search for similar items in EconPapers)
Date: 2004-08-11
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (12)

Published in The B.E. Journal of Macroeconomics, 2011, vol. 11, issue 1.

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Related works:
Working Paper: Non-Markovian Regime Switching with Endogenous States and Time-Varying State Strengths (2004)
Working Paper: Non-Markovian regime switching with endogenous states and time-varying state strengths (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:ecm:latm04:34

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