Virtual : Quarterly Gross Domestic Product
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- Canonical URL
- Virtual : Quarterly Gross Domestic Product
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Bibliographic details
- Session: SA 21.49V
- Location: Dhaka, Bangladesh
- Dates: October 10-14, 2021 (1 week)
- Delivery method: Virtual Training
- Primary language: English
Course description
- The one-week customized training and technical assistance will be presented by an expert from the International Monetary Fund's Statistics Department.
- The course will be based on the System of National Accounts 2008 (SNA 2008) and the Quarterly National Accounts Manual, 2017.
- The course will feature interactive lectures and hands-on exercises that will enable participants to operationalize what they learn.
Topics covered
- The scope, role and strategic issues of quarterly national accounts.
- Data sources for the production and expenditure approach.
- Strategies for selecting quarterly indicators.
- Establishing a quarterly processing system.
- Benchmarking techniques and software;.
- Seasonal adjustment.
- Price and volume measures.
- Chain-linking quarterly national accounts.
- Inventory valuation methods.
- Revision policy.
- Economic analysis of quarterly national accounts.
Course objectives
- Discuss general and specific aspects of the quarterly national accounts framework as embodied in the SNA 2008 and the Quarterly National Accounts Manual, 2017.
- Describe data sources that are typically used to estimate the quarterly national accounts using both the production and expenditure approach.
- Select quarterly indicators using conceptual and empirical methods.
- Benchmark quarterly indicators to annual estimates using the xlpbm EXCEL add-on.
- Describe the conceptual and technical process of seasonal adjustment and work through an example.
- Use price indicies and volume measures to extrapolate quarterly estimates.
- Ensure quarterly estimates of inventory change are recorded as "value of physical change" using appropriate inventory valuation methods.
- Perform economic analysis of quarterly national accounts, and it's role in the business cycle.
References