{
  "title": "Quarterly Gross Domestic Product and Seasonal Adjustment",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2023/gdpsa23-43",
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  "summary": "Back to top Qualifications Participants should have a degree in economics, statistics, or the equivalent.",
  "publishDate": "2024-01-11",
  "sections": [
    {
      "heading": "Training program and target audience",
      "content": "- Training Program presented by the IMF's Statistics Department.\n- Target Audience: Officials responsible for compiling and using intensely national accounts statistics (NAS).\n- Qualifications: Participants should have a degree in economics, statistics, or the equivalent.\n- Deadline passed."
    },
    {
      "heading": "Course description",
      "content": "- The course aims at providing a thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts (QNA) statistics.\n- Introduces benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.\n- Discusses how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA."
    },
    {
      "heading": "Course objectives",
      "content": "Upon completion of the course, participants should be able to:\n- Recognize the role, scope, uses, and compilation frameworks for QNA\n- Review available data sources for compiling QNA.\n- Explain the use of volume measures and the basic relation between value, quantity, and prices.\n- Apply basic techniques for compiling benchmarked series and filling data gaps.\n- Apply basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.\n- Describe a balanced revisions policy taking into consideration how a related real-time database can be used to assess the reliability of the QNA and HFIEA estimates."
    }
  ],
  "bullets": [
    "Training Program presented by the IMF's Statistics Department.",
    "Target Audience: Officials responsible for compiling and using intensely national accounts statistics (NAS).",
    "Qualifications: Participants should have a degree in economics, statistics, or the equivalent.",
    "Deadline passed.",
    "The course aims at providing a thorough understanding of concepts, sources of data, and compilation techniques for producing quarterly national accounts (QNA) statistics.",
    "Introduces benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.",
    "Discusses how to identify and assess available data sources, use real-time series databases to assess the quality, and implement a suitable revisions policy for compiling QNA.",
    "Recognize the role, scope, uses, and compilation frameworks for QNA",
    "Review available data sources for compiling QNA.",
    "Explain the use of volume measures and the basic relation between value, quantity, and prices.",
    "Apply basic techniques for compiling benchmarked series and filling data gaps.",
    "Apply basic seasonal adjustment techniques to time series, based on good seasonal adjustment practices.",
    "Describe a balanced revisions policy taking into consideration how a related real-time database can be used to assess the reliability of the QNA and HFIEA estimates."
  ],
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  "generatedAtUtc": "2026-09-29T19:55:01.220Z"
}