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Do noisy data exacerbate cyclical volatility?

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Abstract

How does the additional uncertainty associated with noisy economic data affect business cycle fluctuations? I use a simple variant of the neoclassical growth model to show that the answer depends crucially on the assumed expectation-formation capabilities of agents. Under efficient signal extracting, noisy economic indicators dampen cyclical volatility. The opposite occurs when agents follow a simple bounded rational strategy.

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  • Antulio N. Bomfim, 1999. "Do noisy data exacerbate cyclical volatility?," Finance and Economics Discussion Series 1999-50, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:1999-50
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    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-1311, July.
    2. Kenneth Kasa, 2000. "Forecasting the Forecasts of Others in the Frequency Domain," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(4), pages 726-756, October.
    3. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
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    Keywords

    Economic indicators; Business cycles; Rational expectations (Economic theory);
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