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Compilation Basics for Macroeconomic Statistics (CBMSx)

Macroeconomic Statistics

This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF’s Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.

Read More Topic : Macroeconomic Statistics

    Target Audience

    Officials who compile macroeconomic and financial statistics in national statistical organizations, ministries of finance, economy, or planning, or in central banks.

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    Qualifications

    Some knowledge of economics and statistics is helpful. Access to a computer with a reliable Internet connection and a Google Chrome web browser and basic Microsoft Excel skills are essential.

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    Course Objectives

    Upon completion of this course, using the basic concepts and principles in the compilation and dissemination of macroeconomic and financial statistics, participants should be able to:

    • Differentiate institutional units and sectors.
    • Apply the concept of residence.
    • Record stocks and flows in an integrated manner.
    • Apply appropriate accounting rules.
    • Classify financial instruments.
    • Summarize the requirements and recommendations of the IMF’s Data Standards Initiatives.
    • Evaluate macroeconomic inter-linkages.
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    Upcoming Offering

    Start date End date Location Delivery Method Session No. Primary & (Interpretation) language Apply
    May 1, 2024 April 15, 2025 Course conducted online Online Training OL 24.133 English Apply online by April 1, 2025
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    Videos

    CBMSx Promotional Video

    This online course, presented by the IMF's Statistics Department reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics.
    Speaker: Ethan Weisman
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