Quarterly Gross Domestic Product and Seasonal Adjustment
Source details
- Canonical URL
- Quarterly Gross Domestic Product and Seasonal Adjustment
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Bibliographic details
- Session: SA 23.43
- Location: New Delhi, India
- Dates: December 11-15, 2023 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed
Training program and target audience
- Training Program presented by the IMF's Statistics Department.
- Target Audience: Officials responsible for compiling and using intensely national accounts statistics (NAS).
- Qualifications: Participants should have a degree in economics, statistics, or the equivalent.
- Deadline passed.
Course description
- The course aims at providing a thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts (QNA) statistics.
- Introduces benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.
- Discusses how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA.
Course objectives
Upon completion of the course, participants should be able to:
- Recognize the role, scope, uses, and compilation frameworks for QNA
- Review available data sources for compiling QNA.
- Explain the use of volume measures and the basic relation between value, quantity, and prices.
- Apply basic techniques for compiling benchmarked series and filling data gaps.
- Apply basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.
- Describe a balanced revisions policy taking into consideration how a related real-time database can be used to assess the reliability of the QNA and HFIEA estimates.