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A Time-Frequency Analysis of the Coherences of the US Business

Author

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  • Christian Richter
  • Andrew Hughes Hallett

    (Economics Loughborough University)

Abstract

The dating of a possible European business cycle has been inconclusive. At this stage, there is no consensus on the existence of such a cycle, or of its periodicity and amplitude, or of the relationship of individual member countries to that cycle. Yet cyclical convergence is the key consideration for countries that wish to be members of the currency union. The confusion over whether and to what degree the UK is converging on the cycles of her European partners, or whether her cycle is more in line with the US, is an example of this lack of consensus. We show that countries will vary in the components and characteristics that make up their output cycles, as well as in the state of their cycle at any point of time. Next, we show how to decompose a business cycle in a time-frequency framework. This allows us to decompose movements in output, both at the European level and in member countries, into their component cycles and allows those component cycles to vary in importance and cyclical characteristics over time. It also allows us to determine if the inconclusive convergence results so far have appeared because member countries have some cycles in common, but diverge at other frequencies

Suggested Citation

  • Christian Richter & Andrew Hughes Hallett, 2005. "A Time-Frequency Analysis of the Coherences of the US Business," Computing in Economics and Finance 2005 45, Society for Computational Economics.
  • Handle: RePEc:sce:scecf5:45
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    Cited by:

    1. repec:spo:wpmain:info:hdl:2441/1461 is not listed on IDEAS
    2. Matthieu Lemoine, 2006. "Annex A5 : A model of the stochastic convergence between euro area business cycles," SciencePo Working papers Main hal-00972793, HAL.
    3. repec:hal:spmain:info:hdl:2441/1461 is not listed on IDEAS
    4. Andrew Hughes Hallett & Christian Richter, 2011. "Is there clustering among the Eurozone economies? Evidence from how the EU's New Member States are converging," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 14(2), pages 127-150.
    5. Jitka Poměnková & Svatopluk Kapounek & Roman Maršálek, 2011. "Comparison of methodological approaches to identify economic activity regularities in transition economy," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(7), pages 283-292.
    6. Matthieu Lemoine, 2005. "A model of the stochastic convergence between business cycles," Documents de Travail de l'OFCE 2005-05, Observatoire Francais des Conjonctures Economiques (OFCE).
    7. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2011. "Synchronization of Economic Sentiment Cycles in the Euro Area: a time-frequency analysis," CEF.UP Working Papers 1105, Universidade do Porto, Faculdade de Economia do Porto.

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    More about this item

    Keywords

    Time-Frequency Analysis; Coherence; Growth Rates; Business Cycle;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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