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A calendar month comprises four weeks (28 days) plus extra one, two or three days
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səhifə | 9/15 | tarix | 06.03.2018 | ölçüsü | 521 b. | | #44921 |
| A calendar month comprises four weeks (28 days) plus extra one, two or three days Rarely an issue in quarterly data, since quarters have 90, 91 or 92 days
Trading Days
Moving Holidays = The impact on the series of holidays whose exact timing shifts from year to year Examples of moving holidays: - Easter
- Chinese New Year - where the exact date is determined by the cycles of the moon
- Ramadan
Moving Holidays
Working Days and Seasonality
Sudden Changes Outliers - Extreme values with identifiable causes (strikes or extreme weather conditions)
- Part of irregular component
Trend breaks (level shifts) - The trend component suddenly increases or decreases in value
- Often caused by changes in definitions (tax rate, reclassification)
Seasonal breaks - The seasonal pattern changes, e.g. due to a structural change caused by a crisis or administrative issues such as timing of invoicing
Pre-conditions for Seasonal Adjustment Good quality of raw data - Strange values to be checked (zeros or outliers)
- Revision of errors with new acquired data
Length of time series 36/12 or 16/4 - At least 36 observations for monthly series and 16 observations for quarterly series needed
Consistent time series - To provide data according to a base year
- Use of comparable definitions and classifications
- Remove non-comparable changes
Solid structure - Presence of seasonality, moderate volatility
- No major breaks in seasonal behaviour
Seasonal Adjustment Process with Demetra+
Anu Peltola Economic Statistics Section, UNECE
Overview Seasonal adjustment process: Prepare and check Define and adjust Analyse and refine Document and publish
Prepare and check
Open Demetra+ The program can be downloaded at: http://circa.europa.eu/irc/dsis/eurosam/info/data/demetra.htm Can be used free of charge
Prepare a source file Many types of files are suitable Excel file either horizontal or vertical
Import data You can copy and paste - But you will have to do this every time
Dynamic updates possible - Next time you do not have to import again
Check the original series The quality of seasonal adjustment depends on the quality of the raw data. - accuracy,
- length of time series (36/16),
- quality of production methods and
- consistency of time series
Demetra+ provides many visual tools, i.e. to test the presence of seasonality
Check the original series Is seasonality present in the original series?
Define and adjust
Select an approach Choose to process only one time series or multiple series Select the approach (X12 or T/S) - Working instructions for beginning seasonal adjustment with Demetra+ written for TRAMO/SEATS
- More instructions for the use of X-12-ARIMA in the Demetra+ Manuals
Prepare calendars Demetra+ includes some predefined holidays, but not national holiday calendars of all countries - Collect a time series of your national holidays
Prepare the calendar by - Selecting from the pre-specified holidays
- Defining exact dates
- Setting a validity period
Select regressors = Define the specification Start the analysis with the default specifications - choose first either four (RSA4) or five (RSA5)
Seasonally adjust To launch adjustment - double click on the series or
- select from the main menu:
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