{
  "title": "The Use of DSGE Models in the Policy-Making Process - Advanced",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/ct/2019/dsge-act19-08",
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  "summary": "Back to top Qualifications Participants should have an advanced degree in economics or equivalent experience.",
  "publishDate": "2021-01-26",
  "sections": [
    {
      "heading": "Course overview and logistics",
      "content": "- Title: The Use of DSGE Models in the Policy-Making Process - Advanced\n- Invitation Session No.: CT 19.08\n- Location: Dalian, China\n- Date: September 2-6, 2019 (1 week)\n- Primary Language: English\n- Interpretation Language: Chinese\n- Presented by: the IMF's Institute for Capacity Development"
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target audience:\n  - Mid- to senior-level officials involved in developing forecasts that are used in the design and implementation of macroeconomic policy.\n- Qualifications:\n  - Participants should have an advanced degree in economics or equivalent experience.\n  - Participants should be comfortable using software for econometric applications such as EViews."
    },
    {
      "heading": "Course objectives and format",
      "content": "- Objective:\n  - Strengthen participants' macroeconomic forecasting and modeling skills through the application of modern econometric techniques.\n- Format and pedagogy:\n  - Lectures include discussion of underlying theory.\n  - Live presentations of empirical analyses on a personal computer.\n  - Hands-on learning by participants in a computer lab.\n  - Participants apply techniques to a case study country: estimate a model, evaluate it, and use the model for forecasting."
    },
    {
      "heading": "Core technical contents and emphases",
      "content": "- The course focuses on five aspects of empirical model building and forecasting:\n  - data and model properties, including stationarity, non-stationarity and cointegration;\n  - dynamic specification, including the use of error correction models;\n  - model evaluation and model design;\n  - forecast uncertainty, forecasting for policy, and policy analysis; and\n  - combination forecasts."
    }
  ],
  "bullets": [
    "Title: The Use of DSGE Models in the Policy-Making Process - Advanced",
    "Invitation Session No.: CT 19.08",
    "Location: Dalian, China",
    "Date: September 2-6, 2019 (1 week)",
    "Primary Language: English",
    "Interpretation Language: Chinese",
    "Presented by: the IMF's Institute for Capacity Development",
    "Target audience:",
    "Qualifications:",
    "Objective:",
    "Format and pedagogy:",
    "The course focuses on five aspects of empirical model building and forecasting:"
  ],
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  "generatedAtUtc": "2026-09-29T17:02:37.137Z"
}