{
  "title": "Quarterly National Accounts - Advanced",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/hq/2026/qna-ahq26-05",
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  "summary": "Quarterly National Accounts - Advanced Training Program Target Audience Officials responsible for compiling national accounts statistics.",
  "publishDate": "2025-09-08",
  "sections": [
    {
      "heading": "Training program and target audience",
      "content": "- Training Program: Targeted at officials responsible for compiling national accounts statistics.\n- Qualifications: Participants are expected to have a degree in economics or statistics; or equivalent experience."
    },
    {
      "heading": "Course description",
      "content": "- Presented by: Statistics Department.\n- Course duration: Two-week course.\n- Basis: The course is based on the IMF Quarterly National Accounts Manual (2017 Edition).\n- Orientation: Oriented to national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA).\n- Teaching methods: Lectures, workshops, and small group discussions.\n- Main topics covered:\n  - The scope and role of QNA.\n  - Data sources for compiling quarterly GDP estimates (using production, expenditure and income approaches).\n  - Editing procedures and dealing with indicators.\n  - Benchmarking techniques for combining quarterly indicators with annual estimates.\n  - Seasonal adjustments.\n  - Price and volume measures.\n  - Chain-linking techniques for compiling QNA time series.\n  - Early estimates of quarterly GDP.\n  - Other specific QNA issues.\n  - Revision policy and dissemination practices."
    },
    {
      "heading": "Course objectives",
      "content": "Upon completion of the course, participants should be able to:\n- Describe the QNA in terms of its compilation, scope, role, and international standards and best practices.\n- Describe data requirements for and methods of compiling the different sets of QNA statistics, especially GDP and its valuation.\n- Illustrate the relation of the QNA to other aggregates within the SNA. Draw up a simple framework to compile basic national accounts series, from collection and development of source data to application of simple statistical methods to derive aggregates.\n- Gain practical experience dealing with specific issues relating to the compilation and use of quarterly data.\n- Describe the analytical uses of quarterly information on GDP, other potential analytical uses, and some advanced techniques to assess economic activity more accurately."
    }
  ],
  "bullets": [
    "Training Program: Targeted at officials responsible for compiling national accounts statistics.",
    "Qualifications: Participants are expected to have a degree in economics or statistics; or equivalent experience.",
    "Presented by: Statistics Department.",
    "Course duration: Two-week course.",
    "Basis: The course is based on the IMF Quarterly National Accounts Manual (2017 Edition).",
    "Orientation: Oriented to national accounts compilers from countries that are improving, developing, or planning to develop quarterly national accounts (QNA).",
    "Teaching methods: Lectures, workshops, and small group discussions.",
    "Main topics covered:",
    "Describe the QNA in terms of its compilation, scope, role, and international standards and best practices.",
    "Describe data requirements for and methods of compiling the different sets of QNA statistics, especially GDP and its valuation.",
    "Illustrate the relation of the QNA to other aggregates within the SNA. Draw up a simple framework to compile basic national accounts series, from collection and development of source data to application of simple statistical methods to derive aggregates.",
    "Gain practical experience dealing with specific issues relating to the compilation and use of quarterly data.",
    "Describe the analytical uses of quarterly information on GDP, other potential analytical uses, and some advanced techniques to assess economic activity more accurately."
  ],
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  },
  "generatedAtUtc": "2026-09-29T17:09:24.612Z"
}