{
  "title": "Statistical Forum on Inclusive Growth – Leaving Nothing Out and Nobody Behind",
  "publication": "IMF News, December 2, 2016",
  "sourceUrl": "https://www.imf.org/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind",
  "canonical": "https://www.imf.org/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind",
  "overlayPath": "/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/index.md",
  "summary": "Event: Fourth IMF Statistical Forum on Statistics for Inclusive Growth.",
  "publishDate": "2016-12-02",
  "sections": [
    {
      "heading": "Forum overview and purpose",
      "content": "- Event: Fourth IMF Statistical Forum on Statistics for Inclusive Growth.\n- Location and dates: Held at the IMF headquarters in Washington DC on November 17 and 18.\n- Publication date on IMF site: December 2, 2016.\n- Objective: Discuss how statistics can contribute to policies aimed at achieving inclusive growth and the increasing demand for such statistics among statisticians, academics, experts, and policymakers."
    },
    {
      "heading": "What is inclusive growth?",
      "content": "- Inclusive growth described as multidimensional, involving:\n  - income and wealth distribution within economies;\n  - segmented data by gender, social groups, and geographical area;\n  - measures that capture developments in a more globalized and digitized world economy.\n- Key point: A clear definition of inclusive growth is required to guide compilation of statistics and to develop informative indicators.\n- Notable speaker: Ravi Kanbur, Professor of Economics at Cornell University, emphasized that statistics have a political component and that methodological choices (e.g., survey framing, global poverty line construction) can have major policy implications, including for defining Sustainable Development Goals (SDGs) indicators."
    },
    {
      "heading": "Going beyond GDP",
      "content": "- Drivers creating pressure on GDP-based measures:\n  - increased attention to distributional and environmental issues;\n  - role of the informal economy;\n  - rapid technological developments.\n- Discussed approaches:\n  - supplement GDP with alternative metrics combining education, health, and living standard factors to better capture welfare dynamics;\n  - enhance existing GDP-framework metrics where possible.\n- Specific measurement challenges noted:\n  - new forms of intermediation services (for example, AirBnB and Uber) and Internet-based consumer benefits widen perceived gaps between GDP, productivity, and welfare;\n  - better measurement of volumes and prices of digital services could improve alignment between output, productivity, and welfare."
    },
    {
      "heading": "Combining statistics",
      "content": "- Integration needs:\n  - additional statistics on prices, the labor force, and bilateral trade to better measure impacts such as offshoring.\n- Use of multiple data sources:\n  - IMF’s Financial Access Survey shows an increase of access to financial services over the past years, with uneven coverage globally;\n  - complementary survey data of individuals and firms provide information on segments lacking access and barriers they face.\n- Data types emphasized: micro-level data, Big Data, technological innovation, and administrative data can help meet massive compilation challenges for SDG indicators."
    },
    {
      "heading": "The way forward — conclusions and recommendations",
      "content": "- Consensus points from roundtable led by IMF Deputy Managing Director Tao Zhang:\n  - Inclusiveness is difficult to capture in a single metric due to multiple dimensions.\n  - Recommend a structured framework with a limited set of clearly defined indicators.\n  - International organizations should play an important role in establishing and promoting data standards and coordinating efforts across countries.\n  - Emphasize the need to supplement, improve, and combine existing statistics with new and more granular data.\n  - Encourage active roles for national and international organizations in developing necessary data and coordinating cross-country efforts.\n  - Caution: while leveraging new data sources, maintain focus on traditional statistics.\n\nSource: IMF News — Statistical Forum on Inclusive Growth–Leaving Nothing Out and Nobody Behind (December 2, 2016).\n\n---\n\n\n References\n\n- https://www.imf.org/en/News/country-focus\n- PRESS CENTER\n- IMF Research\n- The Fourth IMF Statistical Forum\n- IMF Data\n- Financial Access Survey\n- https://www.imf.org/en/home\n\nSource: https://www.imf.org/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind"
    }
  ],
  "bullets": [
    "[Markdown version](/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/index.md)",
    "[Structured JSON version](/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/index.json)",
    "[Bundle manifest](/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/bundle-manifest.json)",
    "Published: December 2, 2016",
    "Event: Fourth IMF Statistical Forum on Statistics for Inclusive Growth.",
    "Location and dates: Held at the IMF headquarters in Washington DC on November 17 and 18.",
    "Publication date on IMF site: December 2, 2016.",
    "Objective: Discuss how statistics can contribute to policies aimed at achieving inclusive growth and the increasing demand for such statistics among statisticians, academics, experts, and policymakers.",
    "Inclusive growth described as multidimensional, involving:",
    "Key point: A clear definition of inclusive growth is required to guide compilation of statistics and to develop informative indicators.",
    "Notable speaker: Ravi Kanbur, Professor of Economics at Cornell University, emphasized that statistics have a political component and that methodological choices (e.g., survey framing, global poverty line construction) can have major policy implications, including for defining Sustainable Development Goals (SDGs) indicators.",
    "Drivers creating pressure on GDP-based measures:",
    "Discussed approaches:",
    "Specific measurement challenges noted:",
    "Integration needs:",
    "Use of multiple data sources:",
    "Data types emphasized: micro-level data, Big Data, technological innovation, and administrative data can help meet massive compilation challenges for SDG indicators.",
    "Consensus points from roundtable led by IMF Deputy Managing Director Tao Zhang:",
    "[https://www.imf.org/en/News/country-focus](https://www.imf.org/en/News/country-focus)",
    "[PRESS CENTER](http://presscenter.imf.org/)",
    "[IMF Research](https://www.imf.org/en/news/search)",
    "[The Fourth IMF Statistical Forum](http://www.imf.org/external/np/seminars/eng/2016/statsforum/)",
    "[IMF Data](http://www.imf.org/external/data.htm)",
    "[Financial Access Survey](http://data.imf.org/FAS)",
    "[https://www.imf.org/en/home](https://www.imf.org/en/home)"
  ],
  "alternates": {
    "markdown": "/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/index.md",
    "json": "/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/index.json",
    "bundleManifest": "/en/news/articles/2016/12/02/statistical-forum-on-inclusive-growth-leaving-nothing-out-and-nobody-behind/bundle-manifest.json"
  },
  "generatedAtUtc": "2026-09-25T20:24:46.923Z"
}