{
  "title": "Public Sector Debt Statistics Workshop for Low- and Lower-Middle Income Countries",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/courses/psds",
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  "summary": "Basic concepts, accounting principles, and detailed classifications are discussed in the context of methodology harmonized with government finance statistics and the system of national accounts.",
  "publishDate": "2021-10-29",
  "sections": [
    {
      "heading": "Overview",
      "content": "- Conducted by the IMF Statistics Department.\n- Deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and with practical aspects of compiling public sector debt data.\n- Discusses basic concepts, accounting principles, and detailed classifications harmonized with government finance statistics and the system of national accounts.\n- Examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics.\n- Addresses reporting debt data to the IMF and the World Bank.\n- The course is organized around a series of case studies."
    },
    {
      "heading": "Target audience",
      "content": "- Officials whose main responsibility is compiling public sector debt statistics."
    },
    {
      "heading": "Qualifications",
      "content": "- Participants should have a degree in economics or statistics or equivalent experience."
    },
    {
      "heading": "Course objectives",
      "content": "- Explain the basic concepts, definitions, and accounting principles in the integrated GFS framework.\n- Classify basic government flows and stock positions according to GFSM 2014.\n- Apply the general principles to classify an entity in the public sector and in relevant subsectors, such as the general government and public corporations."
    },
    {
      "heading": "Methodology and instructional elements",
      "content": "- Emphasis on both conceptual guidance (Public Sector Debt Statistics Guide) and hands-on compilation techniques.\n- Use of case studies to apply concepts, classifications, valuation, and compilation methods to practical examples.\n- Coverage of sources and methods for compiling public sector debt statistics and procedures for reporting to multilateral institutions."
    }
  ],
  "bullets": [
    "Conducted by the IMF Statistics Department.",
    "Deals with the conceptual framework of public sector debt statistics as presented in the Public Sector Debt Statistics Guide and with practical aspects of compiling public sector debt data.",
    "Discusses basic concepts, accounting principles, and detailed classifications harmonized with government finance statistics and the system of national accounts.",
    "Examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics.",
    "Addresses reporting debt data to the IMF and the World Bank.",
    "The course is organized around a series of case studies.",
    "Officials whose main responsibility is compiling public sector debt statistics.",
    "Participants should have a degree in economics or statistics or equivalent experience.",
    "Explain the basic concepts, definitions, and accounting principles in the integrated GFS framework.",
    "Classify basic government flows and stock positions according to GFSM 2014.",
    "Apply the general principles to classify an entity in the public sector and in relevant subsectors, such as the general government and public corporations.",
    "Emphasis on both conceptual guidance (Public Sector Debt Statistics Guide) and hands-on compilation techniques.",
    "Use of case studies to apply concepts, classifications, valuation, and compilation methods to practical examples.",
    "Coverage of sources and methods for compiling public sector debt statistics and procedures for reporting to multilateral institutions."
  ],
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  "generatedAtUtc": "2026-09-29T16:40:37.422Z"
}