Measurement error in general equilibrium: the aggregate effects of noisy economic indicators
成果类型:
Article
署名作者:
Bomfim, AN
署名单位:
Federal Reserve System - USA; Federal Reserve System Board of Governors
刊物名称:
JOURNAL OF MONETARY ECONOMICS
ISSN/ISSBN:
0304-3932
DOI:
10.1016/S0304-3932(01)00083-6
发表日期:
2001
页码:
585-603
关键词:
cyclical volatility
Signal extraction
bounded rationality
production externalities
摘要:
I analyze the business cycle implications of noisy economic indicators in the context of a dynamic general equilibrium model. Two main results emerge. First, measurement error in preliminary data releases can have a quantitatively important effect on economic fluctuations. For instance, under efficient signal-extraction, the introduction of accurate economic indicators would make aggregate output 10-30 percent more volatile than suggested by the post-war experience of the U.S. economy. Second, the sign - but not the magnitude - of the measurement error effect depends crucially on the signal processing capabilities of agents. In particular, if agents take the noisy data at face value, significant improvement in the quality of key economic indicators would lead to considerably less cyclical volatility. (C) 2001 Elsevier Science B.V. All rights reserved.
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