An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment
Abstract
The ARIMA model based methodology of programs TRAMO and SEATS for seasonal adjustment and trend cycle estimation was applied to the exports, imports, and balance of trade Japanese series in Maravall (2002). The programs were used in an automatic mode, and the results analyzed. The present paper contains an extension of the work. First, some improvements in the automatic modelling procedure are illustrated, and the models for the seasonally adjusted series and its trend cycle component are discussed (in particular, their order of integration). It is further shown how the SEATS output can be of help in model selection. Finally, the important problem of the choice between direct and indirect adjustment of an aggregate is addressed. It is concluded that, because aggregation has a strong effect on the spectral shape of the series, and because seasonal adjustment is a non linear transformation of the original series, direct adjustment is preferable, even at the cost of destroying identities between the original series.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal Computational Statistics & Data Analysis.
Volume (Year): 50 (2006)
Issue (Month): 9 (May)
Pages: 2167-2190
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Web page: http://www.elsevier.com/locate/csda
Related research
Keywords:Other versions of this item:
- Agustín Maravall, 2005. "An application of the Tramo Seats automatic procedure; direct versus indirect adjustment," Banco de España Working Papers 0524, Banco de España.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Aguilera, Ana M. & Escabias, Manuel & Valderrama, Mariano J., 2008. "Forecasting binary longitudinal data by a functional PC-ARIMA model," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3187-3197, February.
- repec:ner:carlos:info:hdl:10016/11809 is not listed on IDEAS
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- V. Eldon Ball & Carlos San Juan Mesonada & Camilo A. Ulloa, 2011. "Agricultural productivity in the United States: catching-up and the business cycle," Economics Working Papers we1116, Universidad Carlos III, Departamento de Economía.
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