## Advanced Government Finance Statistics (GFS-A)

## Source details

**Canonical URL:** [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2023/gfs-asa23-37)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/sa/2023/gfs-asa23-37/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/sa/2023/gfs-asa23-37/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/sa/2023/gfs-asa23-37/bundle-manifest.json)

## Bibliographic details
- Session: SA 23.37
- Location: New Delhi, India
- Dates: October 16-20, 2023 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed

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### Course overview and logistics
- Session No.: SA 23.37
- Location: New Delhi, India
- Date: October 16-20, 2023 (1 week)
- Delivery Method: In-person Training
- Primary Language: English
- Status: Deadline passed

### Target audience, qualifications, and prerequisites
- Target audience:
  - Officials who have responsibility for compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues.
- Qualifications:
  - Participants are expected to be educated to degree level and have significant practical experience in the compilation of GFS.
- Pre-requisites:
  - Participants should already have a solid understanding of the GFSM 2014 framework.

### Course description and format
- Focus:
  - Conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014).
- Required participant background:
  - Familiarity with the basic GFS framework and classification system.
  - Experience in compiling GFS from national source data.
- Emphases:
  - Integrated GFS framework and complex cross-cutting GFS issues pertinent to improving data quality.
  - Coverage of the public sector, with special attention to borderline and complex cases.
- Format:
  - Lectures and exercises.
  - Participants will be requested to propose topics related to methodological concepts that they have found problematic in compiling GFS.

### Course objectives and learning outcomes
- Upon completion, participants should be able to:
  - Apply the general principles in GFSM 2014 to complex cross-cutting GFS issues in the integrated framework.

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## References

- [In-person 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)
- [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/sa/2023/gfs-asa23-37_