Revenue Forecasting and Analysis
link Origem: www.edx.org
list 4 sequencias
assignment Nível: Intermediário
chat_bubble_outline Idioma : Inglês
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Informações principais

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Sobre o conteúdo

Revenue forecasting refers to the use of analytical techniques to produce estimates of future financial inflows for the government. It is of crucial importance to policymakers, as it helps them devise sound public polices and plan spending programs based on these projected revenues. While governments derive revenues from various sources, taxes typically are the main funding mechanism. Therefore, this course focuses on the forecasting and analysis of tax revenue.

We first pinpoint places where data can be accessed and guide you on how to assess the quality of your data. We then move to general forecasting techniques. We apply these techniques to forecast major tax revenue items such as: value added taxes, import duties, excises, personal income tax and corporate income tax. The course also provides an introduction to techniques that can be used to estimate the revenue effects of policy changes and their distributional impact.

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Pré-requisito

Some knowledge of taxation and/or economics is helpful. Basic Microsoft Excel skills and access to a computer with a reliable Internet connection are essential.

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Programa de estudos

Upon completion of this course, participants should be able to:

1. Analyze fundamental principles and trends in tax revenue analysis.

2. Explain the key features of an effective institutional framework for revenue forecasting.

3. Identify data requirements and recognize potential data issues.

4. Produce revenue forecasts using different methods.

5. Recognize the strengths and limitations of different forecasting methods.

6. Quantify the revenue impact of tax policy changes, using input-output tables and micro-simulation models.

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Instrutores

Sébastien Leduc
Economist
International Monetary Fund

Dinar Prihardini
Economist
International Monetary Fund

Fabien Gonguet
Economist
International Monetary Fund

Aqib Aslam
Deputy Division Chief
International Monetary Fund

Sebastian Beer
Economist
International Monetary Fund

Li Liu
Senior Economist
International Monetary Fund

assistant

Plataforma

Edx

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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