## 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/qnaxol24-100)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-100/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-100/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-100/bundle-manifest.json)

## Bibliographic details
- Session: OL 24.100
- Location: Course conducted online
- Dates: March 28, 2024 - May 16, 2024 (5 weeks)
- Delivery method: Online Training
- Primary language: Spanish
- Status: Deadline passed

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### Target audience and qualifications
- Intended for officials worldwide responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).
- Participants are expected to have a degree in economics or statistics; or equivalent experience.
- Access requirements: a computer with a reliable Internet connection and a Google Chrome web browser are essential.

### Course logistics and identifiers
- Session No.: OL 24.100
- Location: Course conducted online
- Date: March 28, 2024 - May 16, 2024 (5 weeks) New dates
- Delivery Method: Online Training
- Primary Language: Spanish
- Presented by: Statistics Department

### Course description (scope and methods)
- The course prepares participants to compile QNA and/or HFIEA by providing a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets.
- Coverage includes both theoretical and practical compilation issues.
- Introduces benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.
- Participants will learn to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy.

### Course objectives (competencies on completion)
- Recognize the role, scope, and uses of QNA and HFIEAs.
- Describe the compilation framework for the QNA and the different compilation methods for HFIEAs (including composite leading indicators).
- Review available data sources for compiling QNA by the income, expenditure and production approaches, 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.
- Compile benchmarked series using the recommended techniques.
- Apply basic techniques for filling data gaps.
- Identify good seasonal adjustment practices and apply basic seasonal adjustment techniques to time series.
- Formulate a balanced revisions policy taking account of how related real-time database can be used to assess the reliability of the QNA/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)
- [Tax Regional Workshop on Strategic Management](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/taxce26-43)
- [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/qnaxol24-100_