## Quarterly National Accounts Advanced (QNA-A)

## Source details

**Canonical URL:** [Quarterly National Accounts Advanced (QNA-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/qna-ast26-09)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/st/2026/qna-ast26-09/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/st/2026/qna-ast26-09/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/st/2026/qna-ast26-09/bundle-manifest.json)

## Bibliographic details
- Session: ST 26.09
- Location: Singapore, Singapore
- Dates: March 16-27, 2026 (2 weeks)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed

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### Overview
- Training Program offered by the Statistics Department aimed at national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA).
- Course basis: IMF Quarterly National Accounts Manual (2017 Edition).

### Target audience and qualifications
- Target Audience:
  - Officials responsible for compiling national accounts statistics.
- Qualifications:
  - Participants are expected to have a degree in economics or statistics; or equivalent experience.

### Course description — main topics
- 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.
- Instructional methods: lectures, workshops, and small group discussions.

### Course objectives
- 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.

---


## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Sovereign Risk and Debt Sustainability Framework for Market Access Countries (SRDSF-MAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/srdsf-macst26-22)
- [IMF Data Standards Initiatives](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/dsixol26-241)
- [Cash and Debt Management](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/dcmat26-31)
- [Taxation and Domestic Revenue Mobilization](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/tdrmce26-34)
- [Central Bank Balance Sheet and Policy Solvency (CBBST)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/cbbstsa26-35)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2026/qna-ast26-09_