{
  "title": "Residential Property Price Index (RPPI) — Training Program",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/courses/rppi",
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  "summary": "Residential Property Price Index Training Program Residential Property Price Index (RPPI) This course identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application.",
  "publishDate": "2025-07-29",
  "sections": [
    {
      "heading": "Topic and scope",
      "content": "- Topic: Macroeconomic Statistics\n- The course identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application.\n- Emphasis on evaluating alternative data sources in terms of:\n  - coverage\n  - timeliness\n  - richness in terms of supporting a quality-mix methodology\n  - suitability of a price measure\n  - weighting\n- Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources.\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": "Target audience and qualifications",
      "content": "- Target audience:\n  - Mid-level to senior officials and compilers responsible for, or planning to introduce or develop, a residential property price index (RPPI).\n- Qualifications:\n  - Participants are expected to have a degree in economics or statistics; or equivalent experience."
    },
    {
      "heading": "Methodological focus",
      "content": "- Core methodological problem:\n  - The quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.\n- Main mix-adjustment methods emphasized:\n  - Stratification\n  - Hedonic regression\n- Interactivity:\n  - Interactive workshops address stratification and hedonic regression topics.\n- Integration of issues:\n  - The course highlights how data source and methodological issues are intertwined."
    },
    {
      "heading": "Learning outcomes (course objectives)",
      "content": "- Upon completion of this course, participants should be able to:\n  - 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": [
    "Topic: Macroeconomic Statistics",
    "The course identifies the key uses of RPPIs; reviews data sources and methods for compiling RPPIs; and outlines strategic issues for country-specific application.",
    "Emphasis on evaluating alternative data sources in terms of:",
    "Trade-offs involved in selecting data sources are considered, as are strategies for longer-run development of data sources.",
    "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.",
    "Target audience:",
    "Qualifications:",
    "Core methodological problem:",
    "Main mix-adjustment methods emphasized:",
    "Interactivity:",
    "Integration of issues:",
    "Upon completion of this course, participants should be able to:"
  ],
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  "generatedAtUtc": "2026-09-29T16:40:51.441Z"
}