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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2010
Data sources: EconStor
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Are Policy Counterfactuals Based on Structural VARs Reliable?

Authors: Benati, Luca;

Are Policy Counterfactuals Based on Structural VARs Reliable?

Abstract

Based on standard New Keynesian models I show that policy counterfactuals based on the theoretical structural VAR representations of the models fail to reliably capture the impact of changes in the parameters of the Taylor rule on the (reduced-form) properties of the economy. Based on estimated models for the Great Inflation and the most recent period, I show that, as a practical matter, the problem appears to be non-negligible. These results imply that the outcomes of SVAR-based policy counterfactuals should be regarded with caution, as their informativeness for the specific issue at hand – e.g., understanding the role played by monetary policy in exacerbating the Great Depression, causing the Great Inflation, or fostering the Great Moderation – is, in principle, open to question. Finally, I argue that SVAR-based policy counterfactuals suffer from a crucial logical shortcoming: given that their reliability crucially depends on unknown structural characteristics of the underlying data generation process, such reliability cannot simply be assumed, and can instead only be ascertained with a reasonable degree of confidence by estimating structural (DSGE) models.

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Keywords

Dynamisches Gleichgewicht, Konjunktur, VAR-Modell, Geldpolitik, ddc:330, Taylor-Regel, Lucas Critique, monetary policy, structural VARs, Great Depression, Neoklassische Synthese, Taylor rules, DSGE Models, Great Depression, Great Inflation, Great Moderation, Lucas Critique, monetary policy, policy counterfactuals, structural VARs, Taylor rules, Great Inflation, policy counterfactuals, E30, DSGE Models, Great Moderation, Neue klassische Makroökonomik, E32

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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!
10
Average
Average
Top 10%
bronze