## Cancelled - Quarterly National Accounts (QNA)

## Source details

**Canonical URL:** [Cancelled - Quarterly National Accounts (QNA)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2020/qnact20-02)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ct/2020/qnact20-02/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ct/2020/qnact20-02/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ct/2020/qnact20-02/bundle-manifest.json)

## Bibliographic details
- Session: CT 20.02
- Location: Shenzhen, China
- Dates: February 24-28, 2020 (1 week)
- Primary language: English

---

### 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 the equivalent.

### Course description and scope
- Presented by the Statistics Department.
- Based on the IMF Quarterly National Accounts Manual (2017 Edition).
- Oriented to national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA).
- The course covers both theoretical and practical compilation issues, specifically the following main topics:
  - the scope and role of QNA;
  - data sources for compiling quarterly GDP estimates (mainly using production and expenditure 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; and
  - revision policy and dissemination practices.
- Course format: 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

- [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/ct/2020/qnact20-02_
