{
  "title": "Virtual: Module 1 Compiling Annual GDP Estimates in FCS Using Limited Source Data",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gdpce26-22",
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  "summary": "Back to top Qualifications proficiency in Excel is required.",
  "publishDate": "2026-02-20",
  "sections": [
    {
      "heading": "Training program overview",
      "content": "- Training Program: Virtual: Module 1 Compiling Annual GDP Estimates in FCS Using Limited Source Data\n- Session No.: CE 26.22 V\n- Deadline: Deadline passed\n- Location: Kuwait City, Kuwait\n- Date: September 20-24, 2026 (1 week) New dates\n- Delivery Method: Virtual Training"
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target Audience: compilers of national accounts statistics.\n- Qualifications: proficiency in Excel is required."
    },
    {
      "heading": "Course objectives",
      "content": "- Build knowledge to compile a new national benchmark using scarce source data."
    },
    {
      "heading": "Course description and methodological focus",
      "content": "- The course will concentrate on statistical methods already tested in FCS to establish a new GDP benchmark when comprehensive and reliable source data are lacking.\n- The proposed method uses the supply and uses tables framework, offering a thorough analytical approach to identify and fill data gaps while enhancing the quality and consistency of GDP estimates."
    },
    {
      "heading": "Language and interpretation",
      "content": "- Primary Language: English\n- Interpretation Language: Arabic"
    }
  ],
  "bullets": [
    "Training Program: Virtual: Module 1 Compiling Annual GDP Estimates in FCS Using Limited Source Data",
    "Session No.: CE 26.22 V",
    "Deadline: Deadline passed",
    "Location: Kuwait City, Kuwait",
    "Date: September 20-24, 2026 (1 week) New dates",
    "Delivery Method: Virtual Training",
    "Target Audience: compilers of national accounts statistics.",
    "Qualifications: proficiency in Excel is required.",
    "Build knowledge to compile a new national benchmark using scarce source data.",
    "The course will concentrate on statistical methods already tested in FCS to establish a new GDP benchmark when comprehensive and reliable source data are lacking.",
    "The proposed method uses the supply and uses tables framework, offering a thorough analytical approach to identify and fill data gaps while enhancing the quality and consistency of GDP estimates.",
    "Primary Language: English",
    "Interpretation Language: Arabic"
  ],
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  },
  "generatedAtUtc": "2026-09-29T17:01:39.682Z"
}