Quarterly National Accounts/High Frequency Indicators of Economic Activity
Source details
- Canonical URL
- Quarterly National Accounts/High Frequency Indicators of Economic Activity
Other formats
Bibliographic details
- Session: OL 24.209
- Location: Course conducted online
- Dates: June 1, 2024 - April 15, 2025 (45 weeks)
- Delivery method: Online Training
- Primary language: French
- Status: Deadline passed
Logistics and Access
- Session No.: OL 24.209
- Location: Course conducted online
- Date: June 1, 2024 - April 15, 2025 (45 weeks)
- Delivery Method: Online Training
- Primary Language: French
- Status: Deadline passed
- Qualifications / technical requirements:
- Knowledge of economics and statistics or equivalent experience is helpful.
- Access to a computer with a reliable Internet connection and a Google Chrome web browser are essential.
Purpose and Target Audience
- This introductory online course is designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts and High-Frequency Indicators of Economic Activity, according to the recommendations of the System of National Accounts.
- Emphasis on using QNA and HFIEAs to better understand the role of high-frequency data in analyzing current economic developments.
Course Content and Scope
- Presented by the Statistics Department.
- Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).
- Topics covered:
- Concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues.
- Benchmarking techniques.
- Seasonal adjustment techniques.
- Volume estimates and their application to time series data.
- Identifying and assessing available data sources.
- Use of real-time series databases to assess data quality.
- Implementing a suitable revisions policy for compiling QNA and HFIEAs.
Skills and Competencies (Course Objectives)
- Upon completion of the course, participants should be able to:
- Recognize the role, scope, uses, and compilation frameworks for QNA and HFIEAs.
- Review available data sources for compiling QNA and HFIEAs.
- Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.
- 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.
Related IMF Training Context
- IMF offers online training to government officials and the public. Click Learn more to find current offerings.
References