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Measuring business cycles with business-cycle models

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  • Gregory, Allan W.
  • Smith, Gregor W.

Abstract

Business cycles may be defined or measured by parametrizing detrending filters to maximize the ability of a business-cycle model to match the moments of the remaining cycles. Thus a theory can be used to guide cycle measurement. We present two applications to U.S. postwar data. In the first application the cycles are measured with a standard, real business cycle model. In the second, they are measured using information on capacity utilization and unemployment rates. Simulation methods are used to describe the properties of the GMM estimators and to allow exact inference.
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Suggested Citation

  • Gregory, Allan W. & Smith, Gregor W., 1996. "Measuring business cycles with business-cycle models," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1007-1025.
    • Handle: RePEc:eee:dyncon:v:20:y:1996:i:6-7:p:1007-1025
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    Cited by:

    1. Pascal Jacquinot, 2001. "L’inflation sous-jacente en France, en Allemagne et Royaume-Uni," Économie et Prévision, Programme National Persée, vol. 147(1), pages 171-185.
    2. Schenk-Hoppé Klaus Reiner, 2001. "Economic Growth and Business Cycles: A Critical Comment on Detrending Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(1), pages 1-13, April.
    3. Leo Butler, 1996. "The Bank of Canada's New Quarterly Porjection Model Part 4 : A Semi- Structural Method to Estimate Potential Output : Combining Economic Theory with a Time-Series Filter," Technical Reports 77, Bank of Canada.
    4. Smith, Gregor W. & Zin, Stanley E., 1997. "Real business-cycle realizations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 243-280, December.
    5. Nikolaos Antonakakis & Ioannis Chatziantoniou & George Filis, 2016. "Business Cycle Spillovers in the European Union: What is the Message Transmitted to the Core?," Manchester School, University of Manchester, vol. 84(4), pages 437-481, July.
    6. Klaus Reiner Schenk-Hopp�, "undated". "Economic Growth and Business Cycles: A Critical Comment on Detrending Time Series (Revised Version)," IEW - Working Papers 054, Institute for Empirical Research in Economics - University of Zurich.
    7. Gorodnichenko, Yuriy & Ng, Serena, 2010. "Estimation of DSGE models when the data are persistent," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 325-340, April.

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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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