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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. 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.).
    3. 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.
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    Keywords

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