Training Program
Quarterly Gross Domestic Product and Seasonal Adjustment
Deadline passed
Session No.: SA 23.43
Location: New Delhi, India
Date: December 11-15, 2023 (1 week)
Delivery Method: In-person Training
Primary Language: English
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.
Course Description
This course, presented by the IMF's Statistics Department, aims at providing a thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts (QNA) statistics. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. The course also discussed 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.
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