High-Frequency Indicators and Monthly Indicators of Economic Growth
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Bibliographic details
- Session: SA 24.17
- Location: New Delhi, India
- Dates: March 18-22, 2024 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Status: Deadline passed
Course overview
- Training Program offering on high-frequency indicators (HFIs) and monthly indicators of economic activity.
- Session No.: SA 24.17
- Location: New Delhi, India
- Date: March 18-22, 2024 (1 week)
- Delivery Method: In-person Training
- Primary Language: English
- Deadline passed
- Target Audience: Officials responsible for compiling short-term or monthly economic indicators in central banks and statistical offices.
- Qualifications: Participants should have a degree in economics or statistics or equivalent experience.
Course description and scope
- Focus: identification and assessment of elementary indicators and techniques for combining them into a single index of economic activity (IEA) to track national trends.
- Rationale: Indexes of economic activity bring together a range of elementary indicators to give timely general measures of economic activity that complement annual and quarterly GDP estimates, which are more comprehensive but usually only available after substantial lags.
- Emphasis: practical issues with the compilation of high frequency indicators (HFIs) and their relation with the System of National Accounts (SNA).
Topics covered
- Scope and role of HFIs of economic activity and their relation with the SNA.
- Overview of data sources—both traditional and non-traditional.
- Assessment and selection of component series.
- Introduction to benchmarking principles.
- Introduction to seasonal adjustment.
- Dissemination, revision analysis, and relations with users.
Course objectives (learning outcomes)
Upon completion of the course, participants should be able to:
- Explain the nature and potential uses of high frequency statistics on economic activity as well as their relation and consistency within the system of national accounts.
- Develop a simple framework to compile an index of economic activity, from collection of source data to implementation of simple statistical methods and index compilation techniques.
- Exploit useful short-term information contained in the IEA by applying some analytical tools, deriving tables, and statistical procedures.