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Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach
Author(s) -
FUJIWARA IPPEI,
HIROSE YASUO,
SHINTANI MOTOTSUGU
Publication year - 2011
Publication title -
journal of money, credit and banking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.763
H-Index - 108
eISSN - 1538-4616
pISSN - 0022-2879
DOI - 10.1111/j.1538-4616.2010.00363.x
Subject(s) - dynamic stochastic general equilibrium , bayesian probability , aggregate (composite) , econometrics , economics , bayesian vector autoregression , bayes estimator , computer science , keynesian economics , monetary policy , materials science , artificial intelligence , composite material
We examine whether the news shocks, as explored in Beaudry and Portier (2004), can be a major source of aggregate fluctuations. For this purpose, we extend a standard dynamic stochastic general equilibrium model of Christiano, Eichenbaum, and Evans (2005) and Smets and Wouters (2003, 2007) by allowing news shocks on the total factor productivity (TFP), and estimate the model using Bayesian methods. Estimation results on the U.S. and Japanese economies suggest that (i) news shocks play a relatively more important role in the United States than in Japan, (ii) a news shock with a longer forecast horizon has larger effects on nominal variables, and (iii) the overall effect of the TFP on hours worked becomes ambiguous in the presence of news shocks.