The Choice of Time Interval in Seasonal Adjustment: Characterization and Tools
Giancarlo Bruno () and
Edoardo Otranto ()
No 21, ISAE Working Papers from ISTAT - Italian National Institute of Statistics - (Rome, ITALY)
A typical problem of the seasonal adjustment procedures arises when the observed series is subject to structural breaks. In fact, using the full time interval, the seasonal adjusted series can differ from the "true" seasonal adjusted series, with unclear evidence showed by the usual diagnostic tests. Often the researcher has to decide where cut-off the observed series to obtain a homogeneous span; this is generally performed by a simple visual inspection studies of the graph of the series. In this paper we propose a statistical criterion based on a distance measure between filters, evaluating its performance with Monte Carlo experiments.
Keywords: Linear filters; Structural break; Distance. (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
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