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Trends and Cycles in Macro Series: The Case of US Real GDP

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  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana

Abstract

In this paper we propose a new modelling framework for the analysis of macro series that includes both stochastic trends and stochastic cycles in addition to deterministic terms such as linear and non-linear trends. We examine four US macro series, namely annual and quarterly real GDP and GDP per capita. The results indicate that the behaviour of US GDP can be captured accurately by a model incorporating both stochastic trends and stochastic cycles that allows for some degree of persistence in the data. Both appear to be mean-reverting, although the stochastic trend is nonstationary whilst the cyclical component is stationary, with cycles repeating themselves every 6 – 10 years.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana, 2017. "Trends and Cycles in Macro Series: The Case of US Real GDP," CESifo Working Paper Series 6728, CESifo.
    • Handle: RePEc:ces:ceswps:_6728
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    More about this item

    Keywords

    GDP; GDP per capita; trends; cycles; long memory; fractional integration;
    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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