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RFAx

Revenue Forecasting and Analysis (RFAx)

Deadline passed

Session No.: OL 23.235

Location: Course conducted online

Date: September 1, 2023 - April 15, 2024 (32 weeks)

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.

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    Qualifications

    The training is designed for participants who have basic to intermediate understanding of tax policy. Participants are expected to have a degree in economics or tax accountancy (ideally with some background in econometrics) and should be proficient in Microsoft Excel. Access to a computer with a reliable Internet connection and a Google Chrome web browser is essential.

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    Course Description

    This online course, presented by the Fiscal Affairs Department, focuses on the technical and institutional aspects of revenue forecasting and tax policy analysis. It provides an overview of the quantitative methods that are 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, and international trade taxes. The course also 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 to support learning, which includes quizzes and quantitative exercises with real fiscal data.

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    Course Objectives

    Upon completion of this 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.
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