{
  "title": "Virtual : Residential Property Price Indices (RPPI)",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v",
  "overlayPath": "/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/index.md",
  "summary": "Virtual : Residential Property Price Indices Training Program Target Audience Mid-level to senior officials and compilers responsible for, or planning to introduce or develop residential property price indexes (RPPI).",
  "publishDate": "2023-03-13",
  "sections": [
    {
      "heading": "Target audience and qualifications",
      "content": "- Target audience: Mid-level to senior officials and compilers responsible for, or planning to introduce or develop residential property price indexes (RPPI).\n- Qualifications: Participants are expected to have a degree in economics or statistics, or equivalent experience."
    },
    {
      "heading": "Course description",
      "content": "- Reviews data sources and methods for compiling RPPIs and outlines strategic issues for country-specific application.\n- Emphasis on evaluating alternative data sources for compiling RPPIs 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- Discusses trade-offs involved in selecting data sources and strategies for longer-run development of data sources.\n- Methodological emphasis on 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 covered:\n  - stratification,\n  - hedonic regression.\n- Interactive workshops address mix-adjustment topics.\n- Highlights the interconnection between data source and methodological issues.\n- 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": "Upon completion of the course, participants should be able to:\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."
    },
    {
      "heading": "Additional note",
      "content": "- The International Monetary Fund (IMF) offers online training to government officials and the public.\n- Example training listing: Financial Development and Financial Inclusion (FDFI) — English (French, Portuguese) | November 16, 2026 - December 11, 2026 | Blended Training | Ebene, Mauritius."
    }
  ],
  "bullets": [
    "Target audience: Mid-level to senior officials and compilers responsible for, or planning to introduce or develop residential property price indexes (RPPI).",
    "Qualifications: Participants are expected to have a degree in economics or statistics, or equivalent experience.",
    "Reviews data sources and methods for compiling RPPIs and outlines strategic issues for country-specific application.",
    "Emphasis on evaluating alternative 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 emphasis on the quality-mix problem: a change in the mix of properties transacted each period can bias measures of change in average prices.",
    "Main mix-adjustment methods covered:",
    "Interactive workshops address mix-adjustment topics.",
    "Highlights the interconnection between data source and methodological issues.",
    "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.",
    "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.",
    "The International Monetary Fund (IMF) offers online training to government officials and the public.",
    "Example training listing: Financial Development and Financial Inclusion (FDFI) — English (French, Portuguese) | November 16, 2026 - December 11, 2026 | Blended Training | Ebene, Mauritius."
  ],
  "alternates": {
    "markdown": "/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/index.md",
    "json": "/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/index.json",
    "bundleManifest": "/en/capacity-development/training/icdtc/schedule/st/2021/rppist21-27v/bundle-manifest.json"
  },
  "generatedAtUtc": "2026-09-29T20:26:58.926Z"
}