## 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/qnaxol26-192)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-192/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-192/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-192/bundle-manifest.json)

## Bibliographic details
- Session: OL 26.192
- Location: Course conducted online
- Dates: May 1, 2026 - April 15, 2027 (50 weeks)
- Delivery method: Online Training
- Primary language: Spanish
- Status: Apply online by April 1, 2027

---

### Overview and delivery
- Training Program title: Quarterly National Accounts/High Frequency Indicators of Economic Activity (QNAx).
- Session No.: OL 26.192.
- Location: Course conducted online.
- Date: May 1, 2026 - April 15, 2027 (50 weeks).
- Delivery Method: Online Training.
- Primary Language: Spanish.
- 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.

### Course description and scope
- The course 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.
- Coverage:
  - Theoretical and practical compilation issues.
  - Benchmarking techniques.
  - Seasonal adjustment techniques.
  - Volume estimates and their application to time series data.
  - Identification and assessment of available data sources for compiling QNA and HFIEAs.
  - Use of related real-time series databases to assess the quality of QNA and HFIEAs.
  - Formulation and implementation of a suitable revisions policy.

### Compilation methods and technical topics
- Compilation frameworks and methods:
  - Role, scope, and uses of QNA and HFIEAs.
  - Compilation framework for the QNA.
  - Different compilation methods for HFIEAs, including composite leading indicators.
- Data approaches:
  - Review of available data sources for compiling QNA by the income, expenditure and production approaches, and HFIEAs.
- Volume and price measures:
  - Use of volume measures and the basic relation between value, quantity, and price — including how to detect and address issues such as the need for updated weights and recognizing the loss of additivity for chain-linked volume estimates.
- Practical compilation techniques:
  - Compile benchmarked series using the recommended techniques.
  - Apply basic techniques for filling data gaps.

### Revisions, quality assessment, 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.
- Use of real-time series databases to evaluate and improve estimate quality.

### Learning outcomes (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.
- 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=OL26.192S)
- [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/ol/2026/qnaxol26-192_