{
  "title": "Quarterly National Accounts/High Frequency Indicators of Economic Activity",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-191",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/qnaxol26-191",
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  "summary": "Quarterly National Accounts/High Frequency Indicators of Economic Activity Training Program Qualifications Knowledge of economics and statistics or equivalent experience is helpful.",
  "publishDate": "2026-02-24",
  "sections": [
    {
      "heading": "Target audience",
      "content": "- Designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs) according to the recommendations of the System of National Accounts.\n- Intended for users who want to use QNA and HFIEAs to better understand the role of high-frequency data in analyzing current economic developments."
    },
    {
      "heading": "Course description — substantive coverage",
      "content": "- Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).\n- Presents concepts, data sources, and compilation techniques covering both theoretical and practical compilation issues.\n- Introduces benchmarking and seasonal adjustment techniques, as well as volume estimates.\n- Explains the application of these techniques to time series data.\n- Discusses how to identify and assess available data sources and how to use real-time series databases to assess data quality.\n- Covers implementation of a suitable revisions policy for compiling QNA and HFIEAs."
    },
    {
      "heading": "Course objectives — learning outcomes",
      "content": "- Recognize the role, scope, uses, and compilation frameworks for QNA and HFIEAs.\n- Review available data sources for compiling QNA 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- 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": [
    "Designed for anyone interested in learning how to compile and disseminate Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs) according to the recommendations of the System of National Accounts.",
    "Intended for users who want to use QNA and HFIEAs to better understand the role of high-frequency data in analyzing current economic developments.",
    "Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).",
    "Presents concepts, data sources, and compilation techniques covering both theoretical and practical compilation issues.",
    "Introduces benchmarking and seasonal adjustment techniques, as well as volume estimates.",
    "Explains the application of these techniques to time series data.",
    "Discusses how to identify and assess available data sources and how to use real-time series databases to assess data quality.",
    "Covers implementation of a suitable revisions policy for compiling QNA and HFIEAs.",
    "Recognize the role, scope, uses, and compilation frameworks for QNA and HFIEAs.",
    "Review available data sources for compiling QNA 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.",
    "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": "2026-09-29T19:07:37.866Z"
}