This online course is designed for officials worldwide who are responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).
Participants are expected to have a degree in economics or statistics; or equivalent experience. Access to a computer with a reliable Internet connection and a Google Chrome web browser are essential.
Cancelled
Session No.: AT 23.16V
Location: Ebene, Mauritius
Date: March 6-17, 2023 (2 weeks)
Delivery Method: Virtual Training
Primary Language: English
Interpretation Language: French
This course, presented by the Statistics Department, prepares participants to compile QNA and/or HFIEA by providing them with a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets. The course covers both theoretical and practical compilation issues. It introduces participants to benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data. Participants will learn how to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy.
Upon completion of the course, participants should be able to:
English | July 6-17, 2026 | In-person Training | Vienna, Austria
Apply online by March 22, 2026
English | April 13-16, 2026 | In-person Training | Thimphu, Bhutan
Apply online by March 23, 2026
