Training Program
Public Sector Debt Statistics Workshop for Low- and Lower-Middle Income Countries (PSDS)

This course, conducted by the IMF Statistics Department, deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and on the practical aspects of compiling public sector debt data. Basic concepts, accounting principles, and detailed classifications are discussed in the context of methodology harmonized with government finance statistics and the system of national accounts. The course examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics. It also deals with reporting debt data to the IMF and the World Bank. The course is organized around a series of case studies.
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 Objectives
Upon completion of the course, participants should be able to:
-Explain the basic concepts, definitions, and accounting principles in the integrated GFS framework.
-Classify basic government flows and stock positions according to GFSM 2014.
-Apply the general principles to classify an entity in the public sector and in relevant subsectors, such as the general government and public corporations.
-Explain the basic concepts, definitions, and accounting principles in the integrated GFS framework.
-Classify basic government flows and stock positions according to GFSM 2014.
-Apply the general principles to classify an entity in the public sector and in relevant subsectors, such as the general government and public corporations.
IMF offers online training to government officials and the public. Click Learn more to find our current offerings.
Financial Sector Surveillance (FSS)
English | May 4-15, 2026 | In-person Training | Singapore, Singapore
Apply online by January 23, 2026
Balance of Payments and International Investment Position Statistics - Intermediate (BPIIPS-M)
English | April 13-24, 2026 | In-person Training | Dalian, China
Apply online by January 23, 2026
Strengthening International Tax Administration
English | March 23-27, 2026 | In-person Training | New Delhi, India
Apply online by January 23, 2026
Big Data for Macroeconomic Statistics (BDMS)
English | April 13-17, 2026 | In-person Training | Shenzhen, China
Apply online by January 24, 2026
Managing Fiscal Risks - A Hands-On Approach (UAMFR)
English (Russian) | April 27, 2026 - May 1, 2026 | In-person Training | Vienna, Austria
Apply online by January 25, 2026


