{
  "title": "Quarterly National Accounts/High Frequency Indicators of Economic Activity",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-210",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2024/qnaxol24-210",
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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": "2025-10-23",
  "sections": [
    {
      "heading": "Session and Logistics",
      "content": "- Session No.: OL 24.210\n- Location: Course conducted online\n- Date: June 1, 2024 - April 15, 2025 (45 weeks)\n- Delivery Method: Online Training\n- Primary Language: Spanish\n- Deadline: Deadline passed"
    },
    {
      "heading": "Qualifications and Technical Requirements",
      "content": "- Knowledge of economics and statistics or equivalent experience is helpful.\n- Access to a computer with a reliable Internet connection and a Google Chrome web browser are essential."
    },
    {
      "heading": "Target Audience",
      "content": "- The course is introductory and 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- The course targets users who wish to use high-frequency data to analyze current economic developments."
    },
    {
      "heading": "Course Description: Scope and Content",
      "content": "- The course is presented by the Statistics Department.\n- Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).\n- Presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues.\n- Introduces benchmarking and 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 quality, and implement a suitable revisions policy for compiling QNA and HFIEAs."
    },
    {
      "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 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": [
    "Session No.: OL 24.210",
    "Location: Course conducted online",
    "Date: June 1, 2024 - April 15, 2025 (45 weeks)",
    "Delivery Method: Online Training",
    "Primary Language: Spanish",
    "Deadline: Deadline passed",
    "Knowledge of economics and statistics or equivalent experience is helpful.",
    "Access to a computer with a reliable Internet connection and a Google Chrome web browser are essential.",
    "The course is introductory and 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.",
    "The course targets users who wish to use high-frequency data to analyze current economic developments.",
    "The course is presented by the Statistics Department.",
    "Teaches how to compile timely and high-quality Quarterly National Accounts (QNA) and High-Frequency Indicators of Economic Activity (HFIEAs).",
    "Presents the concepts, data sources, and compilation techniques needed for producing QNA and HFIEAs, covering both theoretical and practical compilation issues.",
    "Introduces benchmarking and 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 quality, and implement 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": "2026-09-29T18:28:39.692Z"
}