{
  "title": "Revenue Forecasting and Analysis",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/courses/rfax",
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  "summary": "Revenue Forecasting and Analysis Training Program Course Revenue Forecasting and Analysis (RFAx) This online course focuses on the technical and institutional aspects of revenue forecasting and tax policy analysis.",
  "publishDate": "2025-07-19",
  "sections": [
    {
      "heading": "Course overview",
      "content": "- The Training Program Course, Revenue Forecasting and Analysis (RFAx), is an online course that focuses on the technical and institutional aspects of revenue forecasting and tax policy analysis.\n- The course provides an overview of the quantitative methods required to forecast and evaluate the revenue implications of changes in major taxes: personal income taxes, corporate income taxes, value added taxes, excise taxes, and international trade taxes.\n- The course emphasizes the necessity of establishing a strong institutional framework to support the revenue forecasting process.\n- The course builds on both conceptual and practical approaches and employs hands-on activities, which include quizzes and quantitative exercises with real fiscal data."
    },
    {
      "heading": "Target audience and qualifications",
      "content": "- Target audience:\n  - Government officials working in ministries of finance or in revenue administrations who are charged with conducting revenue forecasts and/or assessing the revenue or distributional impact of tax policy changes.\n- Qualifications:\n  - Designed for participants who have basic to intermediate understanding of tax policy.\n  - Participants are expected to have a degree in economics or tax accountancy (ideally with some background in econometrics).\n  - Participants should be proficient in Microsoft Excel."
    },
    {
      "heading": "Technical content and methods taught",
      "content": "- Quantitative methods covered:\n  - Macro-based models to forecast tax revenue.\n  - Input-output models to analyze indirect taxes.\n  - Micro-simulation techniques to analyze direct taxes and distributional implications.\n- Data and institutional topics:\n  - Identification of data requirements for each method of revenue forecasting.\n  - Good practices relating to the institutional framework that supports the revenue forecasting process.\n- Model evaluation:\n  - Recognition of the strengths and limitations of different models."
    },
    {
      "heading": "Course objectives (learning outcomes)",
      "content": "Upon completion of the course, participants should be able to:\n- Describe the role of revenue forecasting in the budget-making process.\n- Identify good practices relating to the institutional framework that supports the revenue forecasting process.\n- Identify data requirements for each method of revenue forecasting.\n- Apply macro-based models to forecast tax revenue.\n- Apply input-output models and micro-simulation techniques to analyze the revenue and distributional implications from indirect and direct taxes.\n- Recognize the strengths and limitations of different models."
    }
  ],
  "bullets": [
    "The Training Program Course, Revenue Forecasting and Analysis (RFAx), is an online course that focuses on the technical and institutional aspects of revenue forecasting and tax policy analysis.",
    "The course provides an overview of the quantitative methods required to forecast and evaluate the revenue implications of changes in major taxes: personal income taxes, corporate income taxes, value added taxes, excise taxes, and international trade taxes.",
    "The course emphasizes the necessity of establishing a strong institutional framework to support the revenue forecasting process.",
    "The course builds on both conceptual and practical approaches and employs hands-on activities, which include quizzes and quantitative exercises with real fiscal data.",
    "Target audience:",
    "Qualifications:",
    "Quantitative methods covered:",
    "Data and institutional topics:",
    "Model evaluation:",
    "Describe the role of revenue forecasting in the budget-making process.",
    "Identify good practices relating to the institutional framework that supports the revenue forecasting process.",
    "Identify data requirements for each method of revenue forecasting.",
    "Apply macro-based models to forecast tax revenue.",
    "Apply input-output models and micro-simulation techniques to analyze the revenue and distributional implications from indirect and direct taxes.",
    "Recognize the strengths and limitations of different models."
  ],
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  "generatedAtUtc": "2026-09-29T16:40:45.171Z"
}