{
  "title": "Macroeconometric Forecasting (MFx)",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ol/2026/mfxol26-175",
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  "summary": "Macroeconometric Forecasting Training Program Target Audience All government officials are welcome to register.",
  "publishDate": "2026-02-17",
  "sections": [
    {
      "heading": "Session and logistics",
      "content": "- Session No.: OL 26.175\n- Deadline: Deadline passed\n- Location: Course conducted online\n- Date: May 1, 2026 - August 31, 2026 (17 weeks)\n- Delivery Method: Online Training\n- Primary Language: English\n- Software: Demonstrations and applications are conducted using EViews\n- Licenses: Temporary licenses for EViews are made available for the duration of the course"
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target Audience: All government officials are welcome to register; particularly relevant for officials involved in developing forecasts that are used to design and implement macroeconomic policy\n- Language: The course is offered in English\n- Qualifications:\n  - Participants are expected to have a background in undergraduate statistics and basic econometrics\n  - Access to a computer with a reliable Internet connection and a Google Chrome web browser is essential"
    },
    {
      "heading": "Course description and core content",
      "content": "- Presenting institution: Institute for Capacity Development\n- Aim: To reinforce macroeconomic forecasting and modeling skills and the use of modern econometric techniques\n- Instructional approach:\n  - Lectures discuss the underlying theory\n  - Demonstrations show how to conduct empirical analyses using EViews\n- Focus areas (four aspects of empirical model building and forecasting):\n  - Data and model properties, such as stationarity/non-stationarity and co-integration\n  - Dynamic specifications, especially the use of error correction models\n  - Model evaluation, design, and simulation\n  - Forecast uncertainty and policy analysis"
    },
    {
      "heading": "Learning objectives",
      "content": "Upon completion of the course, participants should be able to:\n- Forecast time series and multiple equation models using EViews.\n- Assess the statistical characteristics of time series and apply appropriate methods for forecasting.\n- Construct a macroeconometric model using ARMA, VAR, and VECM methods.\n- Use a variety of statistical techniques to evaluate the performance of a forecasting model."
    }
  ],
  "bullets": [
    "Session No.: OL 26.175",
    "Deadline: Deadline passed",
    "Location: Course conducted online",
    "Date: May 1, 2026 - August 31, 2026 (17 weeks)",
    "Delivery Method: Online Training",
    "Primary Language: English",
    "Software: Demonstrations and applications are conducted using EViews",
    "Licenses: Temporary licenses for EViews are made available for the duration of the course",
    "Target Audience: All government officials are welcome to register; particularly relevant for officials involved in developing forecasts that are used to design and implement macroeconomic policy",
    "Language: The course is offered in English",
    "Qualifications:",
    "Presenting institution: Institute for Capacity Development",
    "Aim: To reinforce macroeconomic forecasting and modeling skills and the use of modern econometric techniques",
    "Instructional approach:",
    "Focus areas (four aspects of empirical model building and forecasting):",
    "Forecast time series and multiple equation models using EViews.",
    "Assess the statistical characteristics of time series and apply appropriate methods for forecasting.",
    "Construct a macroeconometric model using ARMA, VAR, and VECM methods.",
    "Use a variety of statistical techniques to evaluate the performance of a forecasting model."
  ],
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  "generatedAtUtc": "2026-09-29T19:04:38.249Z"
}