Public Sector Debt Statistics - Fundamental
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- Public Sector Debt Statistics - Fundamental
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Bibliographic details
- Session: JV 25.23
- Location: Vienna, Austria
- Dates: August 4-8, 2025 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Interpretation language: Russian
- Status: Deadline passed
Target audience and qualifications
- Target Audience:
- Public sector officials whose main responsibility is compiling and disseminating public sector debt statistics.
- Qualifications:
- Participants are expected to have a degree in economics, public financial management, statistics, or equivalent experience.
Course scope and methodology
- Conceptual and practical focus:
- Focuses on the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics: Guide for Compilers and Users 2011 (PSDSG 2011).
- Covers practical aspects of public sector debt data compilation.
- Methodological alignment:
- Methodology harmonized with the Government Finance Statistics Manual 2014 (GFSM 2014) and the System of National Accounts (SNA 2008).
- Major topic areas:
- Coverage and accounting rules of the public sector debt statistics framework.
- Valuation and classification of public sector debt positions.
- Selected methodological issues.
- Sources and methods used for compiling the statistics.
- Debt data reporting to the IMF and World Bank.
- Pedagogical approach:
- Course is organized around a series of case studies.
Course objectives and competencies
Upon completion of the course, participants should be able to:
- Define gross and net debt and explain the basic concepts and accounting principles for the compilation of public sector debt statistics.
- Classify public sector debt positions according to the PSDSG 2011 classifications.
- Apply general principles to classify an entity in the public sector, as well as in the relevant subsectors of the public sector, such as the general government and public corporations.
- Report quarterly public sector debt statistics covering—at a minimum—the central government, to the IMF and World Bank.
- Meet data users’ needs to ensure relevancy.