Quarterly National Accounts and High Frequency Indicators of Economic Activity

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Canonical URL: Quarterly National Accounts and High Frequency Indicators of Economic Activity

Session No.: OL 23.07
Deadline: Deadline passed
Location: Course conducted online
Date: February 13, 2023 - March 31, 2023 (9 weeks) New dates
Delivery Method: Online Training
Primary Language: English
Target Audience:
- Introductory online course for anyone interested in compiling and disseminating Quarterly National Accounts and High-Frequency Indicators of Economic Activity, according to the recommendations of the System of National Accounts.
- Emphasis on using HFIEAs to analyze current economic developments.
Qualifications:
- 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.

Presented by the Statistics Department.
Teaches compilation of timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).
Covers concepts, data sources, and compilation techniques for producing QNA and HFIEAs, including both theoretical and practical compilation issues.
Introduces and explains:
- Benchmarking techniques.
- Seasonal adjustment techniques.
- Volume estimates and their application to time series data.
Discusses how to:
- Identify and assess available data sources.
- Use real-time series databases to assess quality.
- Implement a suitable revisions policy for compiling QNA and HFIEAs.

Volume measures and the basic relation between value, quantity, and price.
Detection and treatment of issues such as:
- The need for updated weights.
- Recognizing the loss of additivity for chain-linked volume estimates.
Techniques for compiling benchmarked series and filling data gaps.
Application of basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.
Description of a balanced revisions policy and use of a related real-time database to assess reliability of QNA and HFIEA estimates.

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—including 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.