## Quarterly National Accounts - Advanced

## Source details

**Canonical URL:** [Quarterly National Accounts - Advanced](https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2026/qna-ahq26-05)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/hq/2026/qna-ahq26-05/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/hq/2026/qna-ahq26-05/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/hq/2026/qna-ahq26-05/bundle-manifest.json)

## Bibliographic details
- Session: HQ 26.05
- Location: Washington, D.C., United States
- Dates: February 2-13, 2026 (2 weeks)
- Delivery method: Blended Training
- Primary language: English
- Status: Deadline passed

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### Training program and target audience
- Training Program: Targeted at officials responsible for compiling national accounts statistics.
- Qualifications: Participants are expected to have a degree in economics or statistics; or equivalent experience.

### Course description
- Presented by: Statistics Department.
- Course duration: Two-week course.
- Basis: The course is based on the IMF Quarterly National Accounts Manual (2017 Edition).
- Orientation: Oriented to national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA).
- Teaching methods: Lectures, workshops, and small group discussions.
- Main topics covered:
  - The scope and role of QNA.
  - Data sources for compiling quarterly GDP estimates (using production, expenditure and income approaches).
  - Editing procedures and dealing with indicators.
  - Benchmarking techniques for combining quarterly indicators with annual estimates.
  - Seasonal adjustments.
  - Price and volume measures.
  - Chain-linking techniques for compiling QNA time series.
  - Early estimates of quarterly GDP.
  - Other specific QNA issues.
  - Revision policy and dissemination practices.

### Course objectives
Upon completion of the course, participants should be able to:
- Describe the QNA in terms of its compilation, scope, role, and international standards and best practices.
- Describe data requirements for and methods of compiling the different sets of QNA statistics, especially GDP and its valuation.
- Illustrate the relation of the QNA to other aggregates within the SNA. Draw up a simple framework to compile basic national accounts series, from collection and development of source data to application of simple statistical methods to derive aggregates.
- Gain practical experience dealing with specific issues relating to the compilation and use of quarterly data.
- Describe the analytical uses of quarterly information on GDP, other potential analytical uses, and some advanced techniques to assess economic activity more accurately.

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## References

- [Blended Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [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)
- [Macroeconomic Management in Resource Rich Countries (MRC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/mrcce26-44)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2026/qna-ahq26-05_