Efficient Perturbation Methods for Solving Regime-Switching DSGE Models

51 Pages Posted: 4 May 2015

Date Written: January 16, 2015


In an environment where economic structures break, variances change, distributions shift, conventional policies weaken and past events tend to reoccur, economic agents have to form expectations over different regimes. This makes the regime-switching dynamic stochastic general equilibrium (RS-DSGE) model the natural framework for analyzing the dynamics of macroeconomic variables. We present efficient solution methods for solving this class of models, allowing for the transition probabilities to be endogenous and for agents to react to anticipated events. The solution algorithms derived use a perturbation strategy which, unlike what has been proposed in the literature, does not rely on the partitioning of the switching parameters. These algorithms are all implemented in RISE, a flexible object-oriented toolbox that can easily integrate alternative solution methods. We show that our algorithms replicate various examples found in the literature. Among those is a switching RBC model for which we present a third-order perturbation solution.

Keywords: DSGE, Markov switching, Sylvester equation, Newton algorithm, perturbation, matrix polynomial

JEL Classification: C6, E3, G1.

Suggested Citation

Maih, Junior, Efficient Perturbation Methods for Solving Regime-Switching DSGE Models (January 16, 2015). Norges Bank Working Paper 1 | 2015, Available at SSRN: https://ssrn.com/abstract=2602453 or http://dx.doi.org/10.2139/ssrn.2602453

Junior Maih (Contact Author)

Norges Bank ( email )

P.O. Box 1179
Oslo, N-0107

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