Duration

5 days

Application deadline

22 August 2025

Objective

The course is designed to enable all participants to tackle advanced topics which are beyond the scope of the companion introductory course “Elementary seasonal adjustment of economic data with JDemetra+”. Working almost exclusively with the seasonal adjustment software package JDemetra+, the course is intended to encourage discussions and an exchange of experiences between participants.

Content

• X-11 seasonal adjustment: recap of companion introductory course
• Outliers: anomaly detection, seasonal breaks
• Calendar effects: creation and customisation of user-defined regression variables
• Composite time series: direct vs. indirect seasonal adjustment
• Revision policies: overview of strategies, controlled current adjustment
• ARIMA model-based seasonal adjustment: model decomposition, quality diagnostics
• JDemetra+: additional tools, access via R
• Daily data: potential issues, overview of seasonal adjustment approaches

Target group

The course is aimed at economists and statisticians from central banks who are interested in studying advanced topics in seasonal adjustment and in the efficient application of JDemetra+. Prior knowledge and/or experience of time series analysis in general and seasonal adjustment in particular are highly recommended.

Please note:

A nomination is required in order to participate in our in-person courses.