Tax Policy Analysis And Tax Revenue Training Course

INTRODUCTION

Tax analysis and revenue forecasting are now being given their due prominence as governments carry out developments of their tax systems to boost revenues, enhance the equity and efficiency of taxes, and stimulate economic expansion. This course covers the economic footings of tax policy, revenue forecasting and statistical methods to provide participants with the ability to execute effective tax reforms. The course encompasses a comprehensive array of taxes such as value-added tax, personal and commercial income tax, excises, property tax, trade taxes and taxes on natural resources. The usage of macroeconomic models, micro-simulation models and typical taxpayer models are also included in this program.

The course also focuses on the technical and official aspects of revenue forecasting and tax policy analysis, where it delivers an outline of the quantitative approaches that are required to forecast and assess the revenue implications of variations in major taxes like personal income taxes, commercial income taxes, value-added taxes, excise taxes, and international trade taxes. The course also highlights the need for establishing a robust institutional framework to sustain the revenue forecasting process. The theory of taxation is essential to corporations because governments can subsidise this money back into the economy in the shape of corporate loans or other funding programs.

However, economies cannot benefit from this if the businesses that contribute to them do not understand tax policies and tax revenue mechanisms properly. Companies can also be impacted directly and indirectly if they fail to file their tax returns properly, and this course can be beneficial to avoid such situations. This training course will empower you with both conceptual and practical approaches and employs hands-on activities to support learning, which includes quizzes and quantitative exercises with real fiscal data.

COURSE OBJECTIVES

The participants shall be able to:

• Describe the role of tax policy and revenue forecasting in the budget-making process.
• Identify good practices relating to the institutional framework that supports the tax policy and revenue forecasting process.
• Identify data requirements for each method of tax policy and revenue forecasting.
• Apply macro-based models for tax policy and forecasting tax revenue.
• Apply input-output models and microsimulation techniques to analyse tax policy and the distributional implications from indirect and direct taxes.
• Recognise the strengths and limitations of different models.

DURATION

10 Days

WHO SHOULD ATTEND

• Tax agents
• Tax advisors
• Tax auditors
• Legal counsel and lawyers
• Tax advisers
• General tax practitioners
• Tax practitioners in advisory firms
• Beginners in tax commercial and trade industries
• Government officials from revenue authorities and finance ministries
• In-house tax directors/managers
• Tax regulation bodies
• Financial analysts

COURSE OUTLINE

     MODULE 1: TAX ANALYSIS

• Principles of taxation and tax reform
• The economic impact of taxes and subsidies
• Consumption TAX and expenditure taxes
• Taxes on international trade
• Taxation of income
• International tax harmonisation

MODULE 2: DIFFERENT TYPES OF TAX POLICIES

• Wealth and asset taxation
• Property and real estate taxes
• Taxation of natural resources
• Taxation of financial sectors
• Inflation and taxation
• Taxation of e-commerce
• Taxation of MNCs and BEPS

MODULE 3: TAX ADMINISTRATION & COMPLIANCE

• Tax administration and tax compliance
• Tax reform and implementation challenges
• Fiscal policy and fiscal architecture
• Natural resource taxation
• Tax incidence analysis
• Learning about taxes through experiments
• Natural resource taxation
• Tax incidence analysis
• Learning about taxes through experiments

MODULE 4: REVENUE FORECASTING

• Value-added and excise taxes
• Trade taxes
• Personal income taxes
• Corporate income taxes
• Taxes on natural resources
• Property taxes

MODULE 5: COMPUTER APPLICATIONS

• Introduction to computers and computerisation
• The impact of technology
• Microcomputers in revenue forecasting
• Cloud computing technology
• Private cloud computing system
• The power of collaboration
• Challenges
• Integration
• Performance
• Security

MODULE 6: EMPIRICAL TECHNIQUES AND MODELS

• Micro-simulation models
• Typical taxpayer model
• Macroeconomic models
• GDP-based forecasting models
• Regression analysis
• Sampling techniques
• Consumer expenditure surveys
• Receipts model

MODULE 7: RISK MANAGEMENT, COMPETITION & INCENTIVES

• Risk management of tax compliance
• Transfer pricing and international dispute resolution
• Tax competition and investment incentives
• Outline of tax agreements for double tax avoidance

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