{
  "title": "Government Finance Statistics - Advanced",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2024/gfs-ahq24-09",
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  "summary": "Government Finance Statistics - Advanced Training Program Target Audience Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues, such as those described below.",
  "publishDate": "2024-08-06",
  "sections": [
    {
      "heading": "Session details and delivery",
      "content": "- Session No.: HQ 24.09\n- Location: Washington, D.C., United States\n- Date: May 13-24, 2024 (2 weeks)\n- Deadline passed\n- Delivery Method: In-person Training\n- Primary Language: French"
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target Audience: Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues.\n- Qualifications:\n  - Participants are expected to have a degree in economics, public financial management or statistics or the equivalent.\n  - It is strongly recommended that applicants have completed the online Government Finance Statistics (GFSx) or the Government Finance Stat"
    },
    {
      "heading": "Course description and scope",
      "content": "- Presented by the Statistics Department.\n- Focus: conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014), with an emphasis on new concepts introduced in GFSM 2014.\n- Requirement: participants are familiar with the basic GFS framework and classification system.\n- Emphasis: the integrated GFS framework, addressing complex cross-cutting GFS issues.\n- Specific topics addressed:\n  - social protection\n  - government employee pension liabilities\n  - standardized guarantee schemes\n  - contracts\n  - leases\n  - licenses\n  - public-private partnerships\n  - public sector balance sheets\n- Additional coverage:\n  - coverage of the public sector, with special attention to borderline and complex cases\n  - internal and intersectoral data consistency\n  - coordination between data-producing agencies\n  - data presentation and communication with users\n- Format: lectures and discussions"
    },
    {
      "heading": "Course objectives",
      "content": "- Upon completion of the course, participants should be able to:\n  - Explain the new concepts introduced in the GFSM 2014.\n  - Apply the general principles in GFSM 2014 to complex cross-cutting GFS issues in the integrated framework, such as social protection, government employee pension liabilities, standardized guarantee schemes, social protection, government employee pension liabilities, standardized guarantee schemes, contracts, leases, licenses, public-private partnerships, and public sector balance sheets."
    }
  ],
  "bullets": [
    "Session No.: HQ 24.09",
    "Location: Washington, D.C., United States",
    "Date: May 13-24, 2024 (2 weeks)",
    "Deadline passed",
    "Delivery Method: In-person Training",
    "Primary Language: French",
    "Target Audience: Officials whose main responsibility, for at least three years, has been compiling and disseminating GFS and who are regularly faced with complex GFS methodological and compilation issues.",
    "Qualifications:",
    "Presented by the Statistics Department.",
    "Focus: conceptual framework of government finance statistics (GFS) as presented in the Government Finance Statistics Manual 2014 (GFSM 2014), with an emphasis on new concepts introduced in GFSM 2014.",
    "Requirement: participants are familiar with the basic GFS framework and classification system.",
    "Emphasis: the integrated GFS framework, addressing complex cross-cutting GFS issues.",
    "Specific topics addressed:",
    "Additional coverage:",
    "Format: lectures and discussions",
    "Upon completion of the course, participants should be able to:"
  ],
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  },
  "generatedAtUtc": "2026-09-29T17:08:26.582Z"
}
