December 1999

Measurement Error in General Equilibrium: The Aggregate Effects of Noisy Economic Indicators

Antulio N. Bomfim

Abstract:

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 to 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 improvements in the quality of key economic indicators would lead to considerably less cyclical volatility.

Full paper (235 KB Postscript)

Keywords: Cyclical volatility, signal extraction bounded rationality, production externalities

PDF: Full Paper

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