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Overview
| This course gives participants a detailed understanding of what a time series is, what the process of seasonal adjustment is, how seasonal adjustment is approached in the ABS, what the issues and problems are which may arise during seasonal adjustment and how to address these. It includes the more complex time series adjustments such as trading day and Easter corrections.
The course includes a variety of data analysis exercises using SEASABS, the standard seasonal adjustment software package developed and used in the ABS, and can serve as an effective introduction to it. |  |
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| Structure of Sessions | Workshop | |
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| Duration | 2 days
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| Who should attend | It will suit people who scrutinise Time Series ABS data closely and people who seasonally adjust their own data.
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| Course outcomes | On completion you'll be able to:
- Describe the components of a time series
- Understand the seasonal adjustment process used in the ABS
- Understand the problems and issues which may arise during seasonal adjustment
- Work with the Time Series Analysis section to address seasonal adjustment issues with your data
- Interpret time series estimates in an appropriate way
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| Course contents | Day 1:
- What is a time series?
- What are stock and flow series?
- Time series components and decomposition models
- Filters and associated issues
- Principles of ARIMA modelling
- Prior corrections
- Outliers, trend breaks, seasonal breaks
Day 2:
- Trading day corrections
- Moving holiday corrections
- Annual Seasonal Reanalysis
- Interpreting time series estimates
- Revisions
- Aggregation
- Quality measures
- Consistency
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| Cost | $1,040 (inc GST) per person, from 1 July 2013, $1,080 (inc GST) per person
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| When is this course run? | For scheduled training courses see the ABS Training Calendar. We can also run the course in your organisation if you have sufficient numbers. | |
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| Further information & registrations | Please get in touch with the ABS Training Contact in your State/Territory.
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This page first published 16 August 2011, last updated 28 March 2013
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