{
  "title": "External Debt Statistics",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2024/edsst24-05",
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  "summary": "External Debt Statistics Training Program Target Audience Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.",
  "publishDate": "2024-03-13",
  "sections": [
    {
      "heading": "Training program and target audience",
      "content": "- Training Program: External Debt Statistics (EDS)\n- Session No.: ST 24.05\n- Delivery Method: Blended Training\n- Primary Language: English\n- Location: Singapore, Singapore\n- Date: March 4-13, 2024 (2 weeks)\n- Deadline: Deadline passed\n- Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics."
    },
    {
      "heading": "Qualifications for participants",
      "content": "- Expected educational background: degree in economics, statistics, or equivalent experience.\n- Required technical background: basic knowledge of international accounts concepts.\n- Work experience: minimum of one year of experience in compiling external debt statistics (EDS) or IIP statistics."
    },
    {
      "heading": "Course description and content",
      "content": "- Presented by the IMF Statistics Department.\n- Objective: Provide a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide).\n- Instructional format: Series of lectures, practical exercises, and case studies.\n- Coverage includes:\n  - Recent developments in the global financial market (e.g., process of disintermediation, moving away from traditional cross-border investment vehicles, etc.) and their effect on EDS compilation.\n  - Implementation of the 2013 EDS Guide and ensuring consistency and comparability among external debt statistics and other macroeconomic statistics, namely balance of payments, IIP, government finance statistics, and national accounts.\n  - Data dissemination and requirements of the World Bank’s Quarterly External Debt Statistics (QEDS) database.\n  - Practical compilation guidance on data sources and techniques for compiling EDS, as well as analysis of these data, taking into account relevant developments in the global financial market."
    },
    {
      "heading": "Course objectives (learning outcomes)",
      "content": "Upon completion of the course, participants should be able to:\n- Describe recent developments that affect EDS.\n- Apply the conceptual framework for the compilation of EDS following the 2013 EDS Guide.\n- Identify data gaps and set up a strategy for improving the EDS compilation.\n- Describe linkages of EDS with other macroeconomic datasets."
    }
  ],
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    "Training Program: External Debt Statistics (EDS)",
    "Session No.: ST 24.05",
    "Delivery Method: Blended Training",
    "Primary Language: English",
    "Location: Singapore, Singapore",
    "Date: March 4-13, 2024 (2 weeks)",
    "Deadline: Deadline passed",
    "Target Audience: Officials whose main responsibility is the compilation of external debt and/or international investment position (IIP) statistics.",
    "Expected educational background: degree in economics, statistics, or equivalent experience.",
    "Required technical background: basic knowledge of international accounts concepts.",
    "Work experience: minimum of one year of experience in compiling external debt statistics (EDS) or IIP statistics.",
    "Presented by the IMF Statistics Department.",
    "Objective: Provide a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide).",
    "Instructional format: Series of lectures, practical exercises, and case studies.",
    "Coverage includes:",
    "Describe recent developments that affect EDS.",
    "Apply the conceptual framework for the compilation of EDS following the 2013 EDS Guide.",
    "Identify data gaps and set up a strategy for improving the EDS compilation.",
    "Describe linkages of EDS with other macroeconomic datasets."
  ],
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  "generatedAtUtc": "2026-09-29T20:37:51.769Z"
}