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Identification of Technology Shocks in Structural Vars

Bibliographic Data

ID9711562
AuthorsPatrick Fève (0009-0006-4064-7775, Toulouse School of Economics University of Toulouse, GREMAQ, IDEI, IUF and Banque de France Université du Québec à Montréal, CIRPÉE and CIREQ), Alain Guay (Toulouse School of Economics University of Toulouse, GREMAQ, IDEI, IUF and Banque de France Université du Québec à Montréal, CIRPÉE and CIREQ)
Year2010
Volume120
Issue549
Pages1284-1318
Publication date2010-12-01
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-0297.2009.02328.x
OpenAlexW2240845094
LanguageEN
Citations received4
References cited26

The usefulness of SVARs for developing empirically plausible models is actually subject to controversies in macroeconomics. We propose a two-step SVARs-based procedure which consistently estimates the effect of permanent technology shocks on aggregate variables. Simulation experiments from a standard business cycle model and a sticky prices model show that our approach outperforms standard SVARs. The two-step procedure, when applied to actual data, predicts a significant short-run decrease of hours after a technology improvement followed by a hump-shaped positive response. Additionally, the rate of inflation and the nominal interest rate displays a significant decrease after this shock. Copyright (C) The Author(s). Journal compilation (C) Royal Economic Society 2009

Aggregate (composite · Business cycle · Dynamic stochastic general equilibrium · Econometrics · Economics · Identification (biology · Inflation (cosmology · Interest rate · Macroeconomics · Monetary policy · Nominal interest rate · Real interest rate · Shock (circulatory · Technology shock · Economic Growth and Productivity · Economic Policies and Impacts · Monetary Policy and Economic Impact

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Citations per year0.19
Citation span2005 - 2015 (11)
Highly citedNo

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