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VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
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DTSTAMP:20260506T224437Z
DTSTART;VALUE=DATE:20241007
DTEND;VALUE=DATE:20241011
SUMMARY:Elementary seasonal adjustment of economic data with JDemetra+
TRANSP:TRANSPARENT
UID:2024_10_07_elementary_seasonal_adjustment_of_economic_data_917806
DESCRIPTION:Deadline for application\n\n16 August 2024\n\nObjective\n\nTh
 e course is designed to enable all participants to understand the basic 
 principles of the X-11 filter-based and ARIMA model-based approaches to 
 seasonal adjustment\, to work with the JDemetra+ seasonal adjustment sof
 tware package\, which includes both approaches\, and to interpret the re
 sults in economic terms.\n\nContents\n\nFocusing on the X-11 seasonal ad
 justment approach\, the course primarily covers the following topics.\nS
 easonality: definition\, aim of seasonal adjustment\nJDemetra+: time ser
 ies software for official statistics\, capabilities\nData pre-treatment:
  modelling of outliers and calendar effects\, regARIMA models\nX-11 appr
 oach: basic principles\, automatic routines\, user customisation\nQualit
 y control: graphical tools\, seasonality tests\nARIMA model-based approa
 ch: basic principles\n\nTarget group\n\nThe course is aimed at economist
 s and statisticians from central banks who are interested in seasonal ad
 justment and\, in particular\, in the application of JDemetra+. Prior kn
 owledge and/or experience of time series analysis in general and seasona
 l adjustment in particular are welcome but are not a prerequisite for pa
 rticipation.
LOCATION:Frankfurt/Main
CONTACT:Deutsche Bundesbank – CIC\, tzk@bundesbank.de\, +49 69 9566-36605
 
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