TARGET GROUP | Officials whose main responsibility is compiling international investment position and/or external debt statistics, as well as Coordinated Portfolio Investment Survey (CPIS) or Coordinated Direct Investment Survey (CDIS) data. Participants should have a degree in economics, statistics, or equivalent experience.
DESCRIPTION | This two-week course, presented by the IMF’s Statistics Department, provides training on the methodology for compiling and disseminating cross-border position statistics, including the international investment position and memoranda and supplementary position data items following BPM6; external debt statistics (EDS), including currency composition, remaining maturity, and debt service schedule; the CPIS, including sectoral data; and the CDIS. The course consists of a series of lectures, discussions, and practical exercises. Lectures and class discussions focus on general concepts and compilation practices, while exercises provide participants with an opportunity to put knowledge learned into practice. Participants will have the opportunity to discuss problems encountered in their work in compiling cross-border position statistics in their countries. The course will be based on the BPM6, the 2013 External Debt Statistics: Guide for Compilers and Users, the 2010 CPIS Guide, and the 2015 CDIS Guide. The course will draw on the G-20 Data Gaps Initiatives, as relevant.
Upon completion of this course, participants should be able to:
• Compile IIP, EDS, CPIS, and/or CDIS––as well as the memorandum and supplementary items of the IIP and tables on external debt statistics––according to the conceptual framework for cross-border position statistics
• Identify potential new data sources for the compilation of the cross-border position statistics
• Apply compilation techniques and best dissemination practices related to cross-border position statistics (IIP, EDS, CPIS, and CDIS)
• Extract lessons from the experiences of other compilers, and discuss the analytical use of cross border position statistics
• Identify possible data gaps related to cross-border position statistics in participating countries, with the G-20 data gaps initiatives as reference