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The seasonal adjustment of quarterly service turnover indices

Author

Listed:
  • Barbara Iaconelli

    (Italian National Institute of Statistics)

  • Fabio Bacchini

    (Italian National Institute of Statistics)

  • Maria Giulia Ippoliti

    (Italian National Institute of Statistics)

  • Barbara Guardabascio

    (Italian National Institute of Statistics)

  • Roberto Iannaccone

    (Italian National Institute of Statistics)

Abstract

In the last years Istat has increased information in the short-term statistics domain for the ser- vice sector. Until 2010 quarterly service turnover indices were published only in unadjusted form. The time span available made the estimation of seasonally adjusted indicators feasible. However the change in the economic classification, that was relevant especially in the ser- vice sector, has raised significant methodological issues in the determination of the seasonal component, as for example the presence of seasonal level shift. Although Istat’ strategy for seasonal adjustment is based on TRAMO-SEATS procedure, in this work different diagnos- tics useful to provide empirical evidences on seasonal outliers detection are exploited. In more detail, the TRAMO-SEATS framework was integrated with X12-ARIMA diagnostic on seasonal outliers by applying the Demetra + procedure that combines TRAMO-SEATS and X12-ARIMA procedures in a unique framework.

Suggested Citation

  • Barbara Iaconelli & Fabio Bacchini & Maria Giulia Ippoliti & Barbara Guardabascio & Roberto Iannaccone, 2015. "The seasonal adjustment of quarterly service turnover indices," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(1), pages 55-78.
    • Handle: RePEc:isa:journl:v:17:y:2015:i:1:p:55-78
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    File URL: http://www.istat.it/it/files/2015/05/Art.3-Seasonal-adjustment-quarterly-service-turnover-indices.pdf
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    References listed on IDEAS

    as
    1. Findley, David F, et al, 1998. "New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 127-152, April.
    2. Fabio Bacchini & Giuseppe Busanello & Diego Chianella & Rosmarie D. Cinelli & Roberto Iannaccone & Valeria Quondamstefano, 2015. "Recent developments for quarterly service turnover indices," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(1), pages 21-53.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Seasonal adjustment; Demetra +; Service Turnover; Seasonal Break.;
    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
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • L80 - Industrial Organization - - Industry Studies: Services - - - General

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