Training Program
Quarterly National Accounts - Advanced (QNA-A)
This course offers an opportunity for thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts (QNA) statistics. The course is based on the IMF Quarterly National Accounts Manual (2017 Edition) and oriented to national accounts compilers from countries that are improving, developing, or planning to develop QNA. The course covers both theoretical and practical compilation issues, specifically the following main topics:
- The scope and role of QNA.
- Data sources for compiling quarterly GDP estimates (using production, expenditure, and income approaches).
- Editing procedures and dealing with indicators.
- Benchmarking techniques for combining quarterly indicators with annual estimates.
- Seasonal adjustment.
- Price and volume measures.
- Chain-linking techniques for compiling QNA time series.
- Early estimates of quarterly GDP.
- Revision policy and dissemination practices.
Target Audience
Officials responsible for compiling national accounts statistics.
Qualifications
Participants are expected to have a degree in economics or statistics; or equivalent experience.
Course Objectives
Upon completion of this course, participants should be able to:
- Describe the QNA in terms of its compilation, scope, role, and international standards and best practices.
- Describe data requirements for and methods of compiling the different sets of QNA statistics, especially GDP and its valuation.
- Illustrate the relation of the QNA to other aggregates within the SNA.
- Draw up a simple framework to compile basic national accounts series, from collection and development of source data to application of simple statistical methods to derive aggregates.
- Gain practical experience dealing with specific issues relating to the compilation and use of quarterly data.
- Describe the analytical uses of quarterly information on GDP, other potential analytical uses, and some advanced techniques to assess economic activity more accurately.
Upcoming Offering
| Start date | End date | Location | Delivery Method | Session No. | Primary & (Interpretation) language | Apply |
|---|---|---|---|---|---|---|
| February 2, 2026 | February 13, 2026 | Washington, D.C., United States | Blended Training | HQ 26.05 | English | Deadline passed |
| March 16, 2026 | March 27, 2026 | Singapore, Singapore | In-person Training | ST 26.09 | English | Apply online by January 10, 2026 |
Financial Sector Surveillance (FSS)
English | March 16-27, 2026 | In-person Training | Vienna, Austria
Apply online by December 14, 2025
Macroeconometric Forecasting and Analysis (MFA)
English | March 23, 2026 - April 3, 2026 | In-person Training | Vienna, Austria
Apply online by December 15, 2025
Medium-Term Debt Management Strategy (MTDSx)
Russian | September 1, 2025 - December 31, 2025 | Online Training | Course conducted online
Apply online by December 15, 2025
Model-Based Monetary Policy Analysis and Forecasting (MPAFx)
English | September 1, 2025 - December 31, 2025 | Online Training | Course conducted online
Apply online by December 15, 2025
Introduction to Financial Programming and Policies
English | September 1, 2025 - December 31, 2025 | Online Training | Course conducted online
Apply online by December 15, 2025