Revenue Forecasting and Analysis
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- Revenue Forecasting and Analysis
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Bibliographic details
- Session: OL 24.214
- Location: Course conducted online New location
- Dates: May 1, 2024 - April 15, 2025 (50 weeks)
- Delivery method: Online Training
- Primary language: French
- Status: Deadline passed
Program overview and logistics
- Session No.: OL 24.214
- Location: Course conducted online New location
- Date: May 1, 2024 - April 15, 2025 (50 weeks)
- Delivery Method: Online Training
- Primary Language: French
- 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.
Qualifications and technical prerequisites
- Educational background: degree in economics or tax accountancy (ideally with some background in econometrics).
- Skills: basic to intermediate understanding of tax policy; proficiency in Microsoft Excel.
- Technical requirements: access to a computer with a reliable Internet connection and a Google Chrome web browser is essential.
Course description and emphasis
- Presented by the Fiscal Affairs Department.
- Focus: technical and institutional aspects of revenue forecasting and tax policy analysis.
- Coverage: quantitative methods required to forecast and evaluate the revenue implications of changes in major taxes, namely:
- personal income taxes,
- corporate income taxes,
- value added taxes,
- excise taxes,
- international trade taxes.
- Institutional focus: necessity of establishing a strong institutional framework to support the revenue forecasting process.
- Pedagogy: builds on both conceptual and practical approaches and employs hands-on activities to support learning.
- Practical components: quizzes and quantitative exercises with real fiscal data.
Course objectives (upon completion)
- 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.
References