Efficient Perturbation Methods for Solving Regime-Switching DSGE Models
Junior Maih
No No 10/2014, Working Papers from Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School
Abstract:
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 (search for similar items in EconPapers)
Pages: 49 pages
Date: 2014-12
New Economics Papers: this item is included in nep-cmp, nep-dge and nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://www.bi.edu/globalassets/forskning/camp/wor ... ing_camp_10-2014.pdf (application/pdf)
Related works:
Working Paper: Efficient perturbation methods for solving regime-switching DSGE models (2015)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bny:wpaper:0028
Access Statistics for this paper
More papers in Working Papers from Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School Contact information at EDIRC.
Bibliographic data for series maintained by Helene Olsen ().