State Space Models with Endogenous Regime Switching
Yoosoon Chang (),
Fei Tan () and
Xin Wei ()
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Yoosoon Chang: Indiana University
Fei Tan: Richard A. Chaifetz School of Business, Saint Louis University
Xin Wei: Indiana University
No 2018-012, CAEPR Working Papers from Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington
This article studies the estimation of state space models whose parameters are switching endogenously between two regimes, depending on whether an autoregressive latent factor crosses some threshold level. Endogeneity stems from the sustained impacts of transition innovations on the latent factor, absent from which our model reduces to one with exogenous regime switching. Due to the flexible form of state space representation, this class of models is broad, including classical regression models and the popular dynamic stochastic general equilibrium (DSGE) models as special cases. We develop a computationally efficient filtering algorithm to estimate the nonlinear model. The algorithm is shown to be accurate in approximating both the likelihood function and filtered state variables. We also apply the filter to estimate a small-scale DSGE model with threshold-type switching in monetary policy rule, and that the Bayes factor decisively favors the endogenous switching version of the DSGE model over the fixed regime case. Overall, our approach provides a greater scope for understanding the complex interaction between regime switching and measured economic behavior.
Keywords: state space model, regime switching; endogeneity, filtering, DSGE model (search for similar items in EconPapers)
JEL-codes: C13 C32 E52 (search for similar items in EconPapers)
Pages: 26 pages
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Persistent link: https://EconPapers.repec.org/RePEc:inu:caeprp:2018012
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