{
  "title": "Leveraging Non-traditional Data for Macroeconomic Nowcasting: The Case of Morocco",
  "publication": "IMF Working Papers, June 5, 2026",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2026/06/05/leveraging-non-traditional-data-for-macroeconomic-nowcasting-the-case-of-morocco-576047",
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  "summary": "Making informed policy decisions is contingent upon the availability of reliable and timely data. The use of non-traditional data has been shown to be a powerful tool for enabling policymakers to conduct robust nowcasting—the practice of estimating the current period’s economic indicator(s), ahead o",
  "sections": [
    {
      "heading": "Overview and objectives",
      "content": "- Author: Dina M Hamed\n- Date: June 5, 2026\n- Purpose: Showcase how non-traditional data can complement official statistics and be incorporated into nowcasting models to provide early estimates of key macroeconomic variables in Morocco.\n- Non-traditional data types highlighted:\n  - Indices extracted from satellite imagery\n  - Google Trends\n  - Flight tracking information\n- Targeted applications:\n  - Agricultural gross value added (Agriculture GVA)\n  - Tourism revenues\n  - Unemployment rate"
    },
    {
      "heading": "Key findings and empirical results",
      "content": "- Non-traditional data substantially improves nowcasting models by:\n  - Enhancing predictive accuracy\n  - Enabling rapid generation of nowcast estimates prior to the release of official data\n- The approach is applied specifically to:\n  - Agricultural gross value added\n  - Tourism revenues\n  - The unemployment rate\n- Demonstrated benefit: timely signals from high-frequency and alternative data sources provide robust estimates of current-period economic indicators ahead of official releases."
    },
    {
      "heading": "Methodological emphasis",
      "content": "- Nowcasting framework: integration of a wide range of macroeconomic and high-frequency data into models to estimate current-period economic indicators ahead of official releases.\n- Data transformation and analysis techniques referenced in subject/keywords:\n  - Econometric analysis\n  - Time series analysis\n  - Machine learning\n  - Data transformation"
    },
    {
      "heading": "Policy relevance and implications",
      "content": "- For policymakers: leveraging non-traditional data provides earlier and more accurate indicators of economic activity, supporting more informed and timely policy decisions.\n- Practical implication: complementing official statistics with satellite imagery indices, Google Trends, and flight tracking can improve monitoring of sectoral activity (agriculture, tourism) and labor market conditions (unemployment).\n\n---\n\n Content in this bundle\n\n- Working Paper\n  - Working Paper (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Working Paper (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2026/06/05/leveraging-non-traditional-data-for-macroeconomic-nowcasting-the-case-of-morocco-576047"
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    "Authors: Dina M Hamed",
    "Published: June 5, 2026",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9798229047173.001",
    "Author: Dina M Hamed",
    "Date: June 5, 2026",
    "Purpose: Showcase how non-traditional data can complement official statistics and be incorporated into nowcasting models to provide early estimates of key macroeconomic variables in Morocco.",
    "Non-traditional data types highlighted:",
    "Targeted applications:",
    "Non-traditional data substantially improves nowcasting models by:",
    "The approach is applied specifically to:",
    "Demonstrated benefit: timely signals from high-frequency and alternative data sources provide robust estimates of current-period economic indicators ahead of official releases.",
    "Nowcasting framework: integration of a wide range of macroeconomic and high-frequency data into models to estimate current-period economic indicators ahead of official releases.",
    "Data transformation and analysis techniques referenced in subject/keywords:",
    "For policymakers: leveraging non-traditional data provides earlier and more accurate indicators of economic activity, supporting more informed and timely policy decisions.",
    "Practical implication: complementing official statistics with satellite imagery indices, Google Trends, and flight tracking can improve monitoring of sectoral activity (agriculture, tourism) and labor market conditions (unemployment).",
    "**Working Paper**"
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