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Tax Analysis And Forecasting

TRAINING DATES: 22nd September –26th September 2025
COUNTRY: Kenya-Mombasa

Overview

Various reasons exist why revenues are forecasted in the first place. Tax revenue forecasting plays a central role in annual budget formulation. It provides policy makers and fiscal planners with the data needed to guide borrowing, use accumulated reserves, or specify monetary measures to balance the budget. It also informs what fiscal actions are sustainable and hence how to balance fiscal policy to address the problems in the balance of payments and hence foreign debt.  (1) First, the budgeting process requires a realistic path of revenues for planning purposes and ascertaining the available resource envelop which can later be distributed to the various expenditure items. (2) Revenue forecasts also provide an assessment of the extent to which the government can borrow and later on its ability to repay in a given fiscal year. (3) Revenue forecasts are also important in managing the cashflows of government–to ascertain the amount of expected resources before taking expenditure decisions.

Objectives of the course

  • Introduction to tax analysis
  • Basic econometrics for tax forecasting
  • Tax analysis using input-output / Social Accounting Matrices
  • Corporate Tax Micro simulation module
  • Income Tax Micro simulation module
  • Value added tax Micro simulation module
  • Excise Tax Microsimulation module

Tariffs analysis using SAMs

Course Content

Session/DayLecture Topic Lab session
Module 1
Introduction to tax policy analysis
-Estimating elasticities
-Estimating bouyancies
-Adjustment of tax calculations to account for policy changes

-Estimating elasticities and bouyancies

-Examine in sample accuracy of these methods

Module 2
Revenue Data Properties
-Timeseries Properties of the Data
-Stationarity of Revenue Time Series Data
-Visualization of the Data through Plotting
-Advanced Unit root tests for stationarity
-Stationarity and Spurious Regressions
-Structural Breaks
-Data Transformation

Lab

-Examining revenue data through visualization

-Unit root tests

-Identifying structural breaks

Module 3
Methods of Revenue Forecasting
-Moving Average Forecast
-Holt Forecasting Method
-Winter Forecasting Method
-Decomposition Method
-AR, MA, ARIMA and SARIMA forecasting methods

Moving Average Forecast

Holt Forecasting Method

Winter Forecasting Method

Decomposition Method

-AR, MA, ARIMA and SARIMA forecasting methods

Module 4
Microsimulation Models
-Corporate Tax Micro simulation module
-Income Tax Micro simulation module
-Value added tax Micro simulation module
-Excise Tax Microsimulation module

Tax Revenue Microsimulation Modelling

Developing an income tax microsimulation model step-by step

Module 5
Tax Analysis using SAM
-Tariffs or import duties
-Excise duties
-Sales or value added taxes

Using a social accounting Matrix to analyze various taxes