## 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/2026/qnaxol26-191)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-191/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-191/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-191/bundle-manifest.json)

## 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

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### 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

- [Online Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Apply Now](https://www-ins.imf.org/TAS/signon.aspx?pkey=OL26.191E)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-191_