## 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/2025/qnaxol25-200)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2025/qnaxol25-200/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2025/qnaxol25-200/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2025/qnaxol25-200/bundle-manifest.json)

## Bibliographic details
- Session: OL 25.200
- Location: Course conducted online
- Dates: May 1, 2025 - April 15, 2026 (50 weeks)
- Delivery method: Online Training
- Primary language: Spanish
- Status: Deadline passed

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### Target audience & qualifications
- Target audience: officials worldwide 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.
  - Access to a computer with a reliable Internet connection and a Google Chrome web browser are essential.

### Course logistics
- Session No.: OL 25.200
- Location: Course conducted online
- Date: May 1, 2025 - April 15, 2026 (50 weeks)
- Delivery Method: Online Training
- Primary Language: Spanish
- Status: Deadline passed

### Course description
- Presented by the Statistics Department.
- Prepares participants to compile QNA and/or HFIEA by providing a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets.
- Covers both theoretical and practical compilation issues.
- Introduces benchmarking, seasonal adjustment techniques, and volume estimates; explains the application of these techniques to time series data.
- Teaches participants to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy.

### Course objectives
Upon completion of the course, participants should be able to:
- 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).
- Review available data sources for compiling QNA by the income, expenditure and production approaches, and HFIEAs.
- Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.
- Compile benchmarked series using the recommended techniques. Apply basic techniques for filling data gaps.
- Identify good seasonal adjustment practices and apply basic seasonal adjustment techniques to time series.
- Formulate a balanced revisions policy taking account of how related real-time database 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)
- [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/2025/qnaxol25-200_