{
  "title": "Macroeconometric Forecasting (MFx)",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/courses/mfx",
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  "summary": "Macroeconometric Forecasting (MFx) Training Program Course Macroeconometric Forecasting (MFx) This course, presented by the Institute for Capacity Development, is designed to reinforce the macroeconomic forecasting and modeling skills of participants and their use of modern econometric techniques.",
  "publishDate": "2020-10-23",
  "sections": [
    {
      "heading": "Course overview",
      "content": "- Presented by the Institute for Capacity Development, the course is designed to reinforce the macroeconomic forecasting and modeling skills of participants and their use of modern econometric techniques.\n- Lectures cover underlying theory and demonstrations show how to conduct empirical analyses using EViews.\n- The course focuses on 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; and\n  - forecast uncertainty and policy analysis.\n- Topic: General Macroeconomics."
    },
    {
      "heading": "Target audience and language",
      "content": "- All government officials are welcome to register.\n- Particularly relevant for officials involved in developing forecasts that are used to design and implement macroeconomic policy.\n- The course is offered in English."
    },
    {
      "heading": "Qualifications and technical requirements",
      "content": "- 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.\n- Demonstrations and applications are conducted using EViews – a popular software for estimating and simulating forecasting models in Windows.\n- Temporary licenses for EViews are made available for the duration of the course."
    },
    {
      "heading": "Course 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": [
    "Presented by the Institute for Capacity Development, the course is designed to reinforce the macroeconomic forecasting and modeling skills of participants and their use of modern econometric techniques.",
    "Lectures cover underlying theory and demonstrations show how to conduct empirical analyses using EViews.",
    "The course focuses on four aspects of empirical model building and forecasting:",
    "Topic: General Macroeconomics.",
    "All government officials are welcome to register.",
    "Particularly relevant for officials involved in developing forecasts that are used to design and implement macroeconomic policy.",
    "The course is offered in English.",
    "Participants are expected to have a background in undergraduate statistics and basic econometrics.",
    "Access to a computer with a reliable Internet connection and a Google Chrome web browser is essential.",
    "Demonstrations and applications are conducted using EViews – a popular software for estimating and simulating forecasting models in Windows.",
    "Temporary licenses for EViews are made available for the duration of the course.",
    "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": "2026-09-29T16:39:10.080Z"
}