Revenue Forecasting and Analysis
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- Revenue Forecasting and Analysis
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Bibliographic details
- Session: OL 25.204
- Location: Course conducted online
- Dates: May 1, 2025 - April 15, 2026 (50 weeks)
- Delivery method: Online Training
- Primary language: Spanish
- Status: Deadline passed
Overview
- Training Program title: Revenue Forecasting and Analysis (RFAx)
- Session No.: OL 25.204
- Deadline passed
- Delivery Method: Online Training
- Primary Language: Spanish
Target audience
- 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.
Logistics and schedule
- Location: Course conducted online
- Date: May 1, 2025 - April 15, 2026 (50 weeks)
- Participants must have access to a computer with a reliable Internet connection and a Google Chrome web browser.
Qualifications and prerequisites
- Designed for participants with basic to intermediate understanding of tax policy.
- Expected educational background: a degree in economics or tax accountancy (ideally with some background in econometrics).
- Proficiency required: Microsoft Excel.
Course description
- Presented by the Fiscal Affairs Department.
- Focuses on the technical and institutional aspects of revenue forecasting and tax policy analysis.
- Provides an overview of quantitative methods required to forecast and evaluate revenue implications of changes in major taxes, namely:
- personal income taxes,
- corporate income taxes,
- value added taxes,
- excise taxes,
- international trade taxes.
- Emphasizes establishing a strong institutional framework to support the revenue forecasting process.
- Employs both conceptual and practical approaches with hands-on activities that include quizzes and quantitative exercises with real fiscal data.
Course objectives
Upon completion of the course, participants should be able to:
- 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.