Fractional integration and business cycle features
Bertrand Candelon () and
Luis Gil-Alana ()
Empirical Economics, 2004, vol. 29, issue 2, 343-359
We show in this article that fractionally integrated univariate models for GDP lead to a better replication of the main business cycle characteristics. We firstly show that the business cycle features are clearly affected by the degree of integration as well as by the other short run (AR, MA, etc.) components of the series. Then, we model the real GDP in the UK and the US by means of fractionally ARIMA (ARFIMA) model, and show that the time series can be specified in terms of this type of model with orders of integration higher than one but smaller than two. Comparing the ARFIMA specifications with those based on ARIMA models, we show via simulations that the former better describe the business cycles features of the data. Copyright Springer-Verlag 2004
Keywords: Long memory; business cycles; fractional integration (search for similar items in EconPapers)
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Working Paper: Fractional Integration and Business Cycles Features (2004)
Working Paper: Fractional integration and business cycle features (2001)
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Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund
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