{
  "title": "Consumer Price Index-Advanced",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2026/cpi-act26-17",
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  "summary": "Consumer Price Index-Advanced Training Program Target Audience Compilers of consumer price indexes (CPIs).",
  "publishDate": "2026-04-01",
  "sections": [
    {
      "heading": "Training Program",
      "content": "- Target Audience: Compilers of consumer price indexes (CPIs).\n- Qualifications: Participants are expected to have a degree in economics or statistics; or equivalent experience.\n- Session No.: CT 26.17\n- Location: Shenzhen, China\n- Date: September 14-24, 2026 (2 weeks)\n- Delivery Method: In-person Training\n- Primary Language: English\n- Status: Deadline passed"
    },
    {
      "heading": "Course Description",
      "content": "- Purpose: Broaden participants' understanding of the concepts, methods, and challenges of compiling CPIs.\n- Theoretical foundations: Overview of index number theory and practical implications of choosing the index number formula at lower and higher levels of aggregation.\n- Weights: Sources and methods for developing/validating weights.\n- Sampling and scope: Practical applications of methods used for sampling areas, items, outlets, and varieties.\n- Data sources and technology: Discussion of new and emerging data sources as well as new collection technologies.\n- Frontier issues: Coverage of how to better measure the digital economy.\n- National accounts linkages: Linkages to the 2025 SNA, including the related principles of scope, coverage, and valuation.\n- Alignment with international guidance: The course follows the principles and recommendations of the CPI Manual (2020).\n- Specific technical topics covered:\n  - calculating elementary and upper-level indexes;\n  - methods for handling temporarily and permanently missing prices;\n  - introducing new outlets, items, and varieties;\n  - adjusting prices for quality changes;\n  - chaining and linking indexes with updated weighting structures;\n  - meeting data users' needs to ensure relevancy."
    },
    {
      "heading": "Course Objectives",
      "content": "- Apply recommended index calculation methods.\n- Apply methods for dealing with index compilation challenges such as unavailable items, quality change, and keeping an index up to date.\n- Assess how well a CPI meets international guidelines for best practice."
    }
  ],
  "bullets": [
    "Target Audience: Compilers of consumer price indexes (CPIs).",
    "Qualifications: Participants are expected to have a degree in economics or statistics; or equivalent experience.",
    "Session No.: CT 26.17",
    "Location: Shenzhen, China",
    "Date: September 14-24, 2026 (2 weeks)",
    "Delivery Method: In-person Training",
    "Primary Language: English",
    "Status: Deadline passed",
    "Purpose: Broaden participants' understanding of the concepts, methods, and challenges of compiling CPIs.",
    "Theoretical foundations: Overview of index number theory and practical implications of choosing the index number formula at lower and higher levels of aggregation.",
    "Weights: Sources and methods for developing/validating weights.",
    "Sampling and scope: Practical applications of methods used for sampling areas, items, outlets, and varieties.",
    "Data sources and technology: Discussion of new and emerging data sources as well as new collection technologies.",
    "Frontier issues: Coverage of how to better measure the digital economy.",
    "National accounts linkages: Linkages to the 2025 SNA, including the related principles of scope, coverage, and valuation.",
    "Alignment with international guidance: The course follows the principles and recommendations of the CPI Manual (2020).",
    "Specific technical topics covered:",
    "Apply recommended index calculation methods.",
    "Apply methods for dealing with index compilation challenges such as unavailable items, quality change, and keeping an index up to date.",
    "Assess how well a CPI meets international guidelines for best practice."
  ],
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  },
  "generatedAtUtc": "2026-09-29T17:06:07.531Z"
}