Quarterly National Accounts/High Frequency Indicators of Economic Activity
Source details
- Canonical URL
- Quarterly National Accounts/High Frequency Indicators of Economic Activity
Other formats
Bibliographic details
- Session: OL 26.191
- Location: Course conducted online
- Dates: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery method: Online Training
- Primary language: English
- Status: Apply online by April 1, 2027 Deadline extended
Target audience
- Designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs) according to the recommendations of the System of National Accounts.
- Intended for users who want to use QNA and HFIEAs to better understand the role of high-frequency data in analyzing current economic developments.
Course description — substantive coverage
- Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).
- Presents concepts, data sources, and compilation techniques covering both theoretical and practical compilation issues.
- Introduces benchmarking and seasonal adjustment techniques, as well as volume estimates.
- Explains the application of these techniques to time series data.
- Discusses how to identify and assess available data sources and how to use real-time series databases to assess data quality.
- Covers implementation of a suitable revisions policy for compiling QNA and HFIEAs.
Course objectives — learning outcomes
- Recognize the role, scope, uses, and compilation frameworks for QNA and HFIEAs.
- Review available data sources for compiling QNA and HFIEAs.
- Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.
- Apply basic techniques for compiling benchmarked series and filling data gaps.
- Apply basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.
- Describe a balanced revisions policy taking into consideration how a related real-time database can be used to assess the reliability of the QNA and HFIEA estimates.
References