Virtual : Quarterly National Accounts (QNA)
Deadline passed
Session No.: CE 21.23V
Location: Kuwait City, Kuwait
Date: February 1-4, 2021 (1 week)
Delivery Method: Virtual Training
Primary Language: English
Interpretation Language: Arabic
Target Audience
Officials responsible for compiling national accounts statistics.
Qualifications
Participants are expected to have a degree in economics or statistics, or the equivalent.
Course Description
This course, presented by the Statistics Department, offers an opportunity for thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts 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 quarterly national accounts (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 (mainly using production and expenditure approaches); editing procedures and dealing with indicators; benchmarking techniques for combining quarterly indicators with annual estimates; seasonal adjustments; price and volume measures; chain-linking techniques for compiling QNA time series; early estimates of quarterly GDP; other specific QNA issues; and revision policy and dissemination practices.The course consists of lectures, workshops, and small group discussions.
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.
External Debt Statistics (EDSx)
French | March 28, 2024 - May 9, 2024 | Online Training | Course conducted online
Apply online by April 25, 2024
External Debt Statistics (EDSx)
Spanish | March 28, 2024 - May 9, 2024 | Online Training | Course conducted online
Apply online by April 25, 2024
Virtual: Building Institutions to Fight Corruption (BIFC)
English (French, Portuguese) | June 3-7, 2024 | Virtual Training | Ebene, Mauritius
Apply online by April 26, 2024
Government Finance Statistics (GFS)
English (French, Portuguese) | June 10-28, 2024 | Hybrid Training | Ebene, Mauritius
Apply online by April 26, 2024
Central Bank Digital Currencies: Principles and Policy Considerations (CBDC)
English | July 22-26, 2024 | In-person Training | Vienna, Austria
Apply online by April 28, 2024