
Deadline passed
Session No.: CE 25.19
Location: Kuwait City, Kuwait
Date: June 15-26, 2025 (2 weeks)
Delivery Method: In-person Training
Primary Language: English
Interpretation Language: Arabic
Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).
Participants are expected to have a degree in economics or statistics and at least two years of relevant compilation experience or should have completed the Compilation of Balance of Payments Statistics course.
This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims to provide a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application in addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants' familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6.
The course consists of a series of lectures and workshops analyzing country cases with a strong data component and is designed to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross-border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in the global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrate data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Upon completion of the course, participants should be able to:
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