## Virtual : Quarterly National Accounts

## Source details

**Canonical URL:** [Virtual : Quarterly National Accounts](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2021/qnace21-23v)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ce/2021/qnace21-23v/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ce/2021/qnace21-23v/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ce/2021/qnace21-23v/bundle-manifest.json)

## Bibliographic details
- Session: CE 21.23V
- Location: Kuwait City, Kuwait
- Dates: February 1-4, 2021 (1 week)
- Delivery method: Virtual Training
- Primary language: English
- Interpretation language: Arabic
- Status: Deadline passed

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### 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 (Statistics Department, IMF)
- Purpose: Provide a thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts statistics.
- Basis: The course is based on the IMF Quarterly National Accounts Manual (2017 Edition).
- Orientation: Designed for national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA).
- Main instructional components:
  - Lectures, workshops, and small group discussions.
- Main topical coverage:
  - 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.
  - Revision policy and dissemination practices.

### Course objectives — learning outcomes upon completion
- 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

- [Virtual 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)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2021/qnace21-23v_