{
  "title": "Residential Property Price Indices",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247",
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  "summary": "Users of the RPPI will also find the course beneficial.",
  "publishDate": "2025-09-04",
  "sections": [
    {
      "heading": "Training program and logistics",
      "content": "- Session No.: OL 25.247\n- Deadline: Deadline passed\n- Location: Course conducted online\n- Date: September 1, 2025 - April 15, 2026 (33 weeks)\n- Delivery Method: Online Training\n- Primary Language: English\n- Target audience:\n  - Primarily mid-level to senior officials responsible for compiling, or planning to develop, the RPPI.\n  - Users of the RPPI will also find the course beneficial.\n- Qualifications:\n  - Participants are expected to have a degree in economics or statistics; or equivalent experience."
    },
    {
      "heading": "Course description and methodological focus",
      "content": "- Presented by the Statistics Department.\n- Presents concepts, data sources and compilation methods used for the production of the Residential Property Price Index (RPPIs).\n- Emphasis on evaluating data sources for compiling RPPIs in terms of:\n  - coverage,\n  - timeliness,\n  - richness in terms of supporting an appropriate compilation method,\n  - suitability of the price measure,\n  - weighting.\n- Discusses trade-offs involved in selecting data sources and strategies for longer-run development of data sources.\n- Methodological component emphasizes the property-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.\n- Mix-adjustment methods taught:\n  - Stratification,\n  - Hedonic regression.\n- Course includes interactive workshops on mix-adjustment topics.\n- The course follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank."
    },
    {
      "heading": "Course objectives",
      "content": "- Better understand the aim, scope and role of the RPPIs in analyzing developments in the property market.\n- Learn to identify and assess relevant data sources for the RPPI.\n- Explore best practice for the compilation of a price index for the residential property."
    }
  ],
  "bullets": [
    "Session No.: OL 25.247",
    "Deadline: Deadline passed",
    "Location: Course conducted online",
    "Date: September 1, 2025 - April 15, 2026 (33 weeks)",
    "Delivery Method: Online Training",
    "Primary Language: English",
    "Target audience:",
    "Qualifications:",
    "Presented by the Statistics Department.",
    "Presents concepts, data sources and compilation methods used for the production of the Residential Property Price Index (RPPIs).",
    "Emphasis on evaluating data sources for compiling RPPIs in terms of:",
    "Discusses trade-offs involved in selecting data sources and strategies for longer-run development of data sources.",
    "Methodological component emphasizes the property-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.",
    "Mix-adjustment methods taught:",
    "Course includes interactive workshops on mix-adjustment topics.",
    "The course follows the principles of the 2013 Handbook on RPPIs published by Eurostat, International Labor Organization (ILO), IMF, Organization for Economic Co-operation and Development (OECD), United Nations Economic Commission for Europe (UNECE), and the World Bank.",
    "Better understand the aim, scope and role of the RPPIs in analyzing developments in the property market.",
    "Learn to identify and assess relevant data sources for the RPPI.",
    "Explore best practice for the compilation of a price index for the residential property."
  ],
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    "bundleManifest": "/en/capacity-development/training/icdtc/schedule/ol/2025/rppixol25-247/bundle-manifest.json"
  },
  "generatedAtUtc": "2026-09-29T18:49:37.361Z"
}