Public Sector Debt Statistics

Source details

Canonical URL

Public Sector Debt Statistics

Other formats

• Markdown version
• Structured JSON version
• Bundle manifest

Bibliographic details

• Session: SA 24.07
• Location: New Delhi, India
• Dates: January 15-19, 2024 (1 week)
• Delivery method: In-person Training
• Primary language: English
• Status: Deadline passed

Program overview and logistics

• Training program title: Public Sector Debt Statistics.
• Session No.: SA 24.07.
• Location: New Delhi, India.
• Date: January 15-19, 2024 (1 week).
• Delivery Method: In-person Training.
• Primary Language: English.
• Status: Deadline passed.
• Organized by: IMF SARTTAC.

Target audience and qualifications

• Target Audience:
  • Officials whose main responsibility is compiling public sector debt statistics.
• Qualifications:
  • Participants should have a degree in economics or statistics or equivalent experience.

Course description and methodology

• The course deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and with practical aspects of compiling public sector debt data.
• Coverage includes:
  • Basic concepts, accounting principles, and detailed classifications.
  • Methodology harmonized with government finance statistics and the system of national accounts.
  • Coverage and accounting rules for public sector debt.
  • Valuation and classification of debt instruments.
  • Important methodological issues and the sources and methods used for compiling the statistics.
  • Reporting debt data to the IMF and the World Bank.
• Pedagogical approach:
  • The course is organized around a series of case studies.

Course objectives (learning outcomes)

Participants should be able to:

• Define gross and net debt and explain the basic concepts and accounting principles that apply to compilation of public sector debt statistics.
• Classify public sector debt positions according to the Public Sector Debt Statistics Guide classifications.
• Apply the general principles to classify an entity in the public sector and in relevant subsectors of the public sector, such as the general government and public corporations.
• Report to the IMF and the World Bank quarterly public sector debt statistics covering at a minimum the central government.

References

• In-person Training
• Fiscal Policy Analysis (FPA)
• Vulnerability Diagnostics (VDS)
• Macro-relevant Environment and Climate Change Statistics (CCS)
• Investor Relations and Sovereign Bond Issuance (LCBM)
• Fintech Market Development and Policy Implications (FINTECH)