Seasonal fractional components in macroeconomic time series
Seasonal fractional models are shown in this article to be alternative credible ways of modelling the seasonal component in macroeconomic time series. A testing procedure that allows one to test different orders of integration at zero and at each of the seasonal frequencies is described. This procedure is then applied to the Italian consumption and income series, the results being very sensitive to the way of modelling the I(0) disturbances.
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Volume (Year): 36 (2004)
Issue (Month): 12 ()
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- Dickey, David A & Pantula, Sastry G, 2002. "Determining the Order of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 18-24, January. Full references (including those not matched with items on IDEAS)
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