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Approximating Time Varying Structural Models With Time Invariant Structures

Fabio Canova (), Filippo Ferroni () and Christian Matthes ()

No 15-10, Working Paper from Federal Reserve Bank of Richmond

Abstract: The paper studies how parameter variation affects the decision rules of a DSGE model and structural inference. We provide diagnostics to detect parameter variations and to ascertain whether they are exogenous or endogenous. Identifi cation and inferential distortions when a constant parameter model is incorrectly assumed are examined. Likelihood and VAR-based estimates of the structural dynamics when parameter variations are neglected are compared. Time variations in the financial frictions of Gertler and Karadi's (2010) model are studied.

JEL-codes: C10 E27 E32 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dge and nep-mac
Date: 2015-10-23
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Related works:
Working Paper: Approximating time varying structural models with time invariant structures (2016) Downloads
Working Paper: Approximating time varying structural models with time invariant structures (2016) Downloads
Working Paper: Approximating time varying structural models with time invariant structures (2015) Downloads
Working Paper: Approximating time varying structural models with time invariant structures (2015) Downloads
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