## 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/2026/qnaxol26-193)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-193/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-193/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-193/bundle-manifest.json)

## Bibliographic details
- Session: OL 26.193
- Location: Course conducted online
- Dates: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery method: Online Training
- Primary language: French
- Status: Apply online by April 1, 2027

---

### Overview
- Training Program that prepares participants to compile quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).
- Emphasis on concepts, source data, and compilation techniques covering theoretical and practical issues.
- Introduces benchmarking, seasonal adjustment techniques, and volume estimates; explains application of these techniques to time series data.
- Teaches identification and assessment of available data sources, use of related real-time series databases to assess quality, and implementation of a suitable revisions policy.

### Target Audience and Qualifications
- Target Audience:
  - Officials worldwide who are responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).
- Qualifications:
  - Participants are expected to have a degree in economics or statistics; or equivalent experience.

### Course Content and Key Skills Taught
- Compilation frameworks and methods:
  - 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).
- Data sources and compilation approaches:
  - Review available data sources for compiling QNA by the income, expenditure and production approaches, and HFIEAs.
- Volume measures and chain-linking:
  - Explain the use of volume measures and the basic relation between value, quantity, and price; detect and address issues such as the need for updated weights; recognize the loss of additivity for chain-linked volume estimates.
- Benchmarking and gap-filling:
  - Compile benchmarked series using the recommended techniques.
  - Apply basic techniques for filling data gaps.
- Seasonal adjustment:
  - Identify good seasonal adjustment practices and apply basic seasonal adjustment techniques to time series.
- Revisions policy and real-time databases:
  - Formulate a balanced revisions policy taking account of how related real-time databases can be used to assess the reliability of the QNA/HFIEA estimates.

---


## References

- [Online Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Apply Now](https://www-ins.imf.org/TAS/signon.aspx?pkey=OL26.193F)
- [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/ol/2026/qnaxol26-193_