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 24.210
- Location: Course conducted online
- Dates: June 1, 2024 - April 15, 2025 (45 weeks)
- Delivery method: Online Training
- Primary language: Spanish
- Status: Deadline passed
Session and Logistics
- Session No.: OL 24.210
- Location: Course conducted online
- Date: June 1, 2024 - April 15, 2025 (45 weeks)
- Delivery Method: Online Training
- Primary Language: Spanish
- Deadline: Deadline passed
Qualifications and 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.
Target Audience
- The course is introductory and designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs), according to the recommendations of the System of National Accounts.
- The course targets users who wish to use high-frequency data to analyze current economic developments.
Course Description: Scope and Content
- The course is 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).
- Presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues.
- Introduces benchmarking and 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 quality, and implement a suitable revisions policy for compiling QNA and HFIEAs.
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.