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dc.contributor.authorMaih, Junior
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2014
dc.identifier.issn1892-2198
dc.identifier.urihttp://hdl.handle.net/11250/2364565
dc.description.abstractIn 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 exible 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.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartofseriesCAMP Working Papers Series;10/2014
dc.subjectMarkov switchingnb_NO
dc.subjectSylvester equationnb_NO
dc.subjectNewton algorithmnb_NO
dc.subjectperturbationnb_NO
dc.subjectmatrix polynomialnb_NO
dc.titleEfficient Perturbation Methods for Solving Regime-Switching DSGE Modelsnb_NO
dc.typeWorking papernb_NO
dc.source.pagenumber51nb_NO


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