Seasonal Adjustment (SA) aims at estimating and removing seasonal and typical calendar effects from time series so that the seasonal and calendar fluctuations disappear from the series. A seasonally adjusted series is therefore a raw series from which the seasonality and the calendar effects have been removed.
SA is necessary to improve comparability over time (to compare for example the first quarter to the fourth quarter) and over space of time series (to compare for example European and national economies). High quality SA data play a crucial role in short term analysis and forecasting, policy and decision making.
Several activities are currently under development in order to achieve a higher degree of harmonization of the Eurostat and ESS practices on SA. They concern mainly:
- Definition of detailed guidelines on SA
- Maintenance and development of reliable tools for SA (at ESS level) incorporating the most common procedures (Tramo Seats and X12Arima)
- Fostering the exchange of practices among NSIs
- Organisation of training on SA