{
  "title": "Compilation of the Residential Property Price Index",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32",
  "overlayPath": "/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32/index.md",
  "summary": "Compilation of the Residential Property Price Index Training Program Target Audience Mid-level to senior officials and compilers responsible for, or planning to introduce or develop, residential property price indices (RPPIs).",
  "publishDate": "2026-06-02",
  "sections": [
    {
      "heading": "Course description — scope and methodological emphasis",
      "content": "- Identifies the key uses of RPPIs.\n- Reviews data sources and methods for compiling RPPIs.\n- Outlines strategic issues for country-specific application.\n- Emphasizes evaluation of alternative data sources in terms of:\n  - coverage,\n  - timeliness,\n  - richness for supporting a quality-mix methodology,\n  - suitability of a price measure,\n  - weighting.\n- Considers trade-offs involved in selecting data sources and strategies for longer-run development of data sources.\n- Methodological component emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.\n- Mix-adjustment methods highlighted:\n  - stratification,\n  - hedonic regression.\n- Interactive workshops address stratification and hedonic regression topics.\n- Follows the principles of the 2013 Handbook on RPPIs.\n- Highlights interdependence of data source choices and methodological approaches."
    },
    {
      "heading": "Course objectives — competencies on completion",
      "content": "- Explain the nature and uses of RPPIs.\n- Identify the strengths and weaknesses of possible data sources for RPPIs.\n- Select the most appropriate method for RPPI compilation based on the availability of data.\n- Apply different methods for compiling RPPIs.\n- Make recommendations, where necessary, for the further development of data sources."
    }
  ],
  "bullets": [
    "Identifies the key uses of RPPIs.",
    "Reviews data sources and methods for compiling RPPIs.",
    "Outlines strategic issues for country-specific application.",
    "Emphasizes evaluation of alternative data sources in terms of:",
    "Considers trade-offs involved in selecting data sources and strategies for longer-run development of data sources.",
    "Methodological component emphasizes the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.",
    "Mix-adjustment methods highlighted:",
    "Interactive workshops address stratification and hedonic regression topics.",
    "Follows the principles of the 2013 Handbook on RPPIs.",
    "Highlights interdependence of data source choices and methodological approaches.",
    "Explain the nature and uses of RPPIs.",
    "Identify the strengths and weaknesses of possible data sources for RPPIs.",
    "Select the most appropriate method for RPPI compilation based on the availability of data.",
    "Apply different methods for compiling RPPIs.",
    "Make recommendations, where necessary, for the further development of data sources."
  ],
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    "bundleManifest": "/en/capacity-development/training/icdtc/schedule/sa/2026/rppisa26-32/bundle-manifest.json"
  },
  "generatedAtUtc": "2026-09-29T20:15:26.125Z"
}