{
  "title": "Quarterly National Accounts/High Frequency Indicators of Economic Activity",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-100",
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  "summary": "Quarterly National Accounts/High Frequency Indicators of Economic Activity Training Program Target Audience This online course is designed for officials worldwide who are responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).",
  "publishDate": "2025-02-10",
  "sections": [
    {
      "heading": "Target audience and qualifications",
      "content": "- Intended for officials worldwide responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).\n- Participants are expected to have a degree in economics or statistics; or equivalent experience.\n- Access requirements: a computer with a reliable Internet connection and a Google Chrome web browser are essential."
    },
    {
      "heading": "Course logistics and identifiers",
      "content": "- Session No.: OL 24.100\n- Location: Course conducted online\n- Date: March 28, 2024 - May 16, 2024 (5 weeks) New dates\n- Delivery Method: Online Training\n- Primary Language: Spanish\n- Presented by: Statistics Department"
    },
    {
      "heading": "Course description (scope and methods)",
      "content": "- The course prepares participants to compile QNA and/or HFIEA by providing a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets.\n- Coverage includes both theoretical and practical compilation issues.\n- Introduces benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.\n- Participants will learn to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy."
    },
    {
      "heading": "Course objectives (competencies on completion)",
      "content": "- Recognize the role, scope, and uses of QNA and HFIEAs.\n- Describe the compilation framework for the QNA and the different compilation methods for HFIEAs (including composite leading indicators).\n- Review available data sources for compiling QNA by the income, expenditure and production approaches, and HFIEAs.\n- Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.\n- Compile benchmarked series using the recommended techniques.\n- Apply basic techniques for filling data gaps.\n- Identify good seasonal adjustment practices and apply basic seasonal adjustment techniques to time series.\n- Formulate a balanced revisions policy taking account of how related real-time database can be used to assess the reliability of the QNA/HFIEA estimates."
    }
  ],
  "bullets": [
    "Intended for officials worldwide responsible for compiling quarterly national accounts (QNA) and/or high frequency indicators of economic activity (HFIEA).",
    "Participants are expected to have a degree in economics or statistics; or equivalent experience.",
    "Access requirements: a computer with a reliable Internet connection and a Google Chrome web browser are essential.",
    "Session No.: OL 24.100",
    "Location: Course conducted online",
    "Date: March 28, 2024 - May 16, 2024 (5 weeks) New dates",
    "Delivery Method: Online Training",
    "Primary Language: Spanish",
    "Presented by: Statistics Department",
    "The course prepares participants to compile QNA and/or HFIEA by providing a thorough understanding of the concepts, source data, and compilation techniques used for producing these datasets.",
    "Coverage includes both theoretical and practical compilation issues.",
    "Introduces benchmarking, seasonal adjustment techniques, as well as volume estimates; and explains the application of these techniques to time series data.",
    "Participants will learn to identify and assess available data sources for compiling QNA and HFIEAs; use related real-time series databases to assess the quality of QNA and HFIEAs; and implement a suitable revisions policy.",
    "Recognize the role, scope, and uses of QNA and HFIEAs.",
    "Describe the compilation framework for the QNA and the different compilation methods for HFIEAs (including composite leading indicators).",
    "Review available data sources for compiling QNA by the income, expenditure and production approaches, and HFIEAs.",
    "Explain the use of volume measures and the basic relation between value, quantity, and price—expanding on how to detect and address issues such as the need for updated weights; and recognizing the loss of additivity for chain-linked volume estimates.",
    "Compile benchmarked series using the recommended techniques.",
    "Apply basic techniques for filling data gaps.",
    "Identify good seasonal adjustment practices and apply basic seasonal adjustment techniques to time series.",
    "Formulate a balanced revisions policy taking account of how related real-time database can be used to assess the reliability of the QNA/HFIEA estimates."
  ],
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  "generatedAtUtc": "2026-09-29T18:28:10.062Z"
}