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Measurement error in general equilibrium: the aggregate effects of noisy economic indicators

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  • Antulio N. Bomfim
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    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.

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    Bibliographic Info

    Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 1999-54.

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    Date of creation: 1999
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    Handle: RePEc:fip:fedgfe:1999-54

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    Keywords: Economic indicators ; Business cycles;

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    1. 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.
    2. Edward C. Prescott, 1986. "Theory ahead of business cycle measurement," Staff Report 102, Federal Reserve Bank of Minneapolis.
    3. Robert G. King, 1995. "Quantitative theory and econometrics," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 53-105.
    4. Oh, S. & Waldman, M., 1990. "The Macroeconomic Effects Of False Announcements," Papers 17, California Los Angeles - Applied Econometrics.
    5. Susanto Basu & John G. Fernald, 1995. "Are Apparent Productive Spillovers a Figment of Specification Error?," NBER Working Papers 5073, National Bureau of Economic Research, Inc.
    6. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July.
    7. Marianne Baxter & Robert G. King, 1991. "Productive externalities and business cycles," Discussion Paper / Institute for Empirical Macroeconomics 53, Federal Reserve Bank of Minneapolis.
    8. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November.
    9. Cooper, Russell & John, Andrew, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, MIT Press, vol. 103(3), pages 441-63, August.
    10. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    11. repec:fth:coluec:431 is not listed on IDEAS
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