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Solution Strategies of Dynamic Stochastic General Equilibrium (DSGE) Models

Authors: Alali, Walid Y.;

Solution Strategies of Dynamic Stochastic General Equilibrium (DSGE) Models

Abstract

DSGE models are the main tool for analysing various questions in problems of monetary, business cycle theory and fiscal policy problems, growth and other fields in international macroeconomics and macroeconomics. Many macroeconomic publications use the DSGE framework. A consensus has been reached on the methodology for using such kind of model. The resolution of DSGE models remains an area of ongoing interest. This paper provides an overview of the available solution techniques. Linear approximation methods and perturbation methods have been explored in detail. Solving strategies such as the eigenvalue auto-decomposition of Blanchard and Kahn (1980) or the method of indefinite coefficients are explained. A Bayesian estimate is drawn shortly. The evaluation methods are briefly described. Finally, the paper provides some useful resources for practical implementation.

Country
Germany
Keywords

Multiple Variables, C68 - Computable General Equilibrium Models, DSGE models, practical implementation, perturbation methods, C88 - Other Computer Software, ddc:330, C63 - Computational Techniques, Simulation Modeling, Blanchard-Kahn conditions, solution strategies, C3 - Multiple or Simultaneous Equation Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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