{
  "title": "Nowcasting (NWC)",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06",
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  "summary": "Nowcasting Training Program Target Audience Junior and middle-level officials from ministries of finance, central banks, and other interested public institutions.",
  "publishDate": "2025-12-04",
  "sections": [
    {
      "heading": "Training Program and Logistics",
      "content": "- Session No.: SA 26.06\n- Location: New Delhi, India\n- Date: February 16-27, 2026 (2 weeks)\n- Delivery Method: In-person Training\n- Primary Language: English\n- Target Audience:\n  - Junior and middle-level officials from ministries of finance, central banks, and other interested public institutions."
    },
    {
      "heading": "Invitation and Qualifications",
      "content": "- Participants are expected to have:\n  - An advanced degree in economics or equivalent experience.\n  - A basic understanding of time-series econometrics.\n  - Comfort using EViews (econometric software package).\n- Recommended prior coursework:\n  - Macroeconomic Forecasting and Analysis (MFA)\n  - Macroeconomic Diagnostic (MDS)\n  - These may be face-to-face or online."
    },
    {
      "heading": "Course Description",
      "content": "- Presented by the Institute for Capacity Development.\n- Provides participants with cutting-edge nowcasting tools to incorporate high-frequency economic indicators into the forecasting process.\n- Integrates training into technical assistance on data compilation and dissemination.\n- Each topic is complemented by hands-on workshops and assignments to illuminate steps required to formulate a nowcasting model and generate a nowcast."
    },
    {
      "heading": "Course Objectives",
      "content": "Upon completion of this course, participants should be able to:\n- Understand and be proficient in the steps required to manage time-series data in EViews, estimate an OLS regression and calculate its associated forecasts in EViews.\n- Formulate several useful statistical procedures in EViews, including:\n  - Consolidation of time series from higher to lower frequencies;\n  - Interpolation techniques;\n  - Seasonal adjustment;\n  - Use of leading indicators.\n- Identify appropriate high-frequency indicators useful for the nowcasting macroeconomic variables and prepare them for use in a nowcasting exercise.\n- Formulate and estimate a nowcasting regression using several approaches, including Bridge, MIDAS, and U-MIDAS estimators.\n- Generate a nowcast from the base regression and consolidate competing forecasts using combination forecasts.\n- Evaluate the accuracy of the nowcast using several forecasting performance indicators.\n- Apply the nowcasting tools to their own country data and interpret the nowcast appropriately in policy making settings."
    }
  ],
  "bullets": [
    "Session No.: SA 26.06",
    "Location: New Delhi, India",
    "Date: February 16-27, 2026 (2 weeks)",
    "Delivery Method: In-person Training",
    "Primary Language: English",
    "Target Audience:",
    "Participants are expected to have:",
    "Recommended prior coursework:",
    "Presented by the Institute for Capacity Development.",
    "Provides participants with cutting-edge nowcasting tools to incorporate high-frequency economic indicators into the forecasting process.",
    "Integrates training into technical assistance on data compilation and dissemination.",
    "Each topic is complemented by hands-on workshops and assignments to illuminate steps required to formulate a nowcasting model and generate a nowcast.",
    "Understand and be proficient in the steps required to manage time-series data in EViews, estimate an OLS regression and calculate its associated forecasts in EViews.",
    "Formulate several useful statistical procedures in EViews, including:",
    "Identify appropriate high-frequency indicators useful for the nowcasting macroeconomic variables and prepare them for use in a nowcasting exercise.",
    "Formulate and estimate a nowcasting regression using several approaches, including Bridge, MIDAS, and U-MIDAS estimators.",
    "Generate a nowcast from the base regression and consolidate competing forecasts using combination forecasts.",
    "Evaluate the accuracy of the nowcast using several forecasting performance indicators.",
    "Apply the nowcasting tools to their own country data and interpret the nowcast appropriately in policy making settings."
  ],
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  },
  "generatedAtUtc": "2026-09-29T20:14:42.885Z"
}