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Macroeconomic Statistics

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).

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    Participants should have a degree in economics, statistics, or the equivalent.

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    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.

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    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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