## Quarterly National Accounts/High Frequency Indicators of Economic Activity

## Source details

**Canonical URL:** [Quarterly National Accounts/High Frequency Indicators of Economic Activity](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-208)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-208/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-208/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-208/bundle-manifest.json)

## Bibliographic details
- Session: OL 24.208
- Location: Course conducted online
- Dates: May 1, 2024 - April 15, 2025 (50 weeks)
- Delivery method: Online Training
- Primary language: English
- Status: Deadline passed

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### Program identifiers and logistics
- Session No.: OL 24.208
- Deadline: Deadline passed
- Location: Course conducted online
- Date: May 1, 2024 - April 15, 2025 (50 weeks)
- Delivery Method: Online Training
- Primary Language: English
- Qualifications: Knowledge of economics and statistics or equivalent experience is helpful.
- Technical requirements: Access to a computer with a reliable Internet connection and a Google Chrome web browser are essential.

### Target audience
- This introductory online course is designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts and High-Frequency Indicators of Economic Activity, according to the recommendations of the System of National Accounts, and using them to better understand the role of high-frequency data in analyzing current economic developments.

### Course description
- Presented by the Statistics Department.
- Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).
- Presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues.
- Introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.
- Discusses how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.

### Course objectives
- 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.

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## References

- [Online Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Executive Training 2 on Fiscal Policy Considerations (FPA)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fpcce26-16)
- [Institutional Sector Accounts-Advanced - Blended (ISA-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2027/isa-ahq27-02)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-208_