Training Program

Connect with IMF Institute

Public Sector Debt Statistics

Deadline passed

Session No.: SA 24.07

Location: New Delhi, India

Date: January 15-19, 2024 (1 week)

Delivery Method: In-person Training

Primary Language: English

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

This course, conducted by the IMF SARTTAC 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.

Course Objectives

Upon completion of the course, 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.

Apply Now - Application deadline approaching:

IMF offers online training to government officials and the public. Click Learn more to find our current offerings.

Macroeconometric Forecasting and Analysis (MFA)

English | March 23, 2026 - April 3, 2026 | In-person Training | Vienna, Austria

Apply online by December 7, 2025

National Accounts Statistics - Advanced (NAS-A)

English | January 19-30, 2026 | In-person Training | New Delhi, India

Apply online by December 8, 2025

Central Bank Digital Currencies: Principles and Policy Considerations (CBDC)

English | March 23-27, 2026 | In-person Training | Singapore, Singapore

Apply online by December 8, 2025

Reforming Fuel Subsidies (RFS)

English (Arabic) | February 8-12, 2026 | In-person Training | Kuwait City, Kuwait

Apply online by December 11, 2025