System reduction and the accuracy of solutions of DSGE models: a note

  • Many algorithms that provide approximate solutions for dynamic stochastic general equilibrium (DSGE) models employ the generalized Schur factorization since it allows for a flexible formulation of the model and exempts the researcher from identifying equations that give raise to infinite eigenvalues. We show, by means of an example, that the policy functions obtained by this approach may differ from those obtained from the solution of a properly reduced system. As a consequence, simulation results may depend on the numeric values of parameters that are theoretically irrelevant. The source of this inaccuracy are ill-conditioned matrices as they emerge, e.g., in models with strong habits. Therefore, researchers should always cross-check their results and test the accuracy of the solution.

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Metadaten
Author:Christopher HeibergerGND, Torben Klarl, Alfred MaußnerGND
URN:urn:nbn:de:bvb:384-opus4-710988
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71098
Series (Serial Number):Volkswirtschaftliche Diskussionsreihe (320)
Publisher:Volkswirtschaftliches Institut, Universität Augsburg
Place of publication:Augsburg
Type:Working Paper
Language:English
Year of first Publication:2012
Publishing Institution:Universität Augsburg
Release Date:2020/02/21
Tag:JEL: C32, C63, E37
Pagenumber:20
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Volkswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Volkswirtschaftslehre / Lehrstuhl für Empirische Makroökonomik (Maußner)
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Journals:Volkswirtschaftliche Diskussionsreihe
Licence (German):Deutsches Urheberrecht