EViews Training in Kenya | Econometric Modelling Course Nairobi | Tobit Research Consulting
Statistical Software Training · Course 03

EViews Training in Kenya — Econometric Modelling

EViews (Econometric Views) is the leading software for time-series analysis, forecasting, and econometric modelling. Our expert-led training programme takes you from the basics of the EViews environment through to advanced panel data analysis, VAR models, cointegration, and the Error Correction Model — giving you the tools to conduct rigorous quantitative research independently.

3 Modules 15 Hours Total Certificate Awarded Online & Physical Ksh 5,000 / Module

Course Details

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3 ModulesBeginner · Intermediate · Advanced
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5 Hours / Module15 hours total programme
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Online or PhysicalBased on your preference
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Flexible TimingMon–Fri 9am–6pm · Sat 9am–5pm
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SoftwareEViews installed at Ksh 2,000
Ksh 5,000
per module · per individual
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Certificate awarded on completion

3
Training Modules
15hrs
Total Duration
5,000+
Students Trained
🏅
Certificate Awarded
Overview

What is EViews & Why is it Essential for Research?

EViews — short for Econometric Views — is a modern statistical and econometric software package developed for time-series analysis, cross-sectional analysis, and panel data modelling. It is widely used for general statistical analysis, econometric analyses, time series estimation, and forecasting.

What makes EViews unique is its object-oriented interface combined with a full command language — giving researchers the power of a programming environment with the accessibility of a menu-driven interface. Users can quickly and efficiently manage their data, perform econometric and statistical analysis, generate forecasts or model simulations, and produce high-quality graphs and tables for publication.

For postgraduate researchers in economics, finance, and public policy in Kenya, EViews is particularly valuable because of its unmatched suite of time-series tools — including unit root testing, cointegration, VAR models, and the Error Correction Model (ECM) — all within a single, easy-to-navigate environment.

Why EViews for your research: The easiest econometric platform for time-series and panel data. Pre-built executable commands mean you do not need deep programming knowledge to run complex models — making it the preferred choice for Masters and PhD students working with macroeconomic, financial, and longitudinal datasets.
Key Applications
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Time-Series & Macroeconomic Analysis

GDP, inflation, exchange rates, interest rates — EViews handles time-series data with powerful unit root tests, ARIMA models, and forecasting tools used in economics dissertations.

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Cointegration & Long-Run Relationships

Test whether economic variables move together in the long run using Johansen cointegration and the Engle-Granger approach — essential for finance and monetary economics research.

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Panel Data Econometrics

Analyse data across multiple entities over time. With EViews, you can easily run fixed or random effects models, conduct unit root tests, and implement dynamic panel data models.

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Forecasting & Simulation

Generate short- and long-term forecasts using VAR models and ARIMA — widely required in finance, policy analysis, and corporate research reports.

Training Objectives

What You Will Achieve

The goal of this course is to increase the knowledge and requisite skills of participants on the use of EViews, enabling them to work independently on their own data and provide a solid foundation for advanced data analysis work.

01

Perform a wide range of data management tasks in EViews — including importing, exporting, cleaning, transforming, and organising datasets for analysis.

02

Apply EViews confidently to academic research projects — generating statistically sound results for Masters and PhD dissertations across economics, finance, and social sciences.

03

Use EViews for the analysis of cross-sectional, time-series, and panel datasets — covering all three major data structures required in postgraduate quantitative research.

04

Produce professional-quality outputs for corporate reports, grant proposals, and policy papers — including publication-ready tables, charts, and forecasting models.

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Practical-Based Training

Every concept is taught through live hands-on exercises using real cross-sectional, time-series, and panel datasets — not theory alone.

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Take-Away Assignments

Each module includes a structured take-away assignment to reinforce your learning and apply the techniques directly to your own research data.

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Certificate on Completion

Upon successfully completing the training, you will be awarded a certificate from Tobit Research Consulting to recognise your achievement.

Your Journey

The Three-Module Learning Path

Each module builds progressively — from the EViews environment and basics, through time-series techniques, to advanced panel data and diagnostic testing used in PhD-level research.

01
Beginner

Introduction to EViews

EViews workfiles, data import, transformation, descriptive statistics, graphs, normality tests, and introductory regression and correlation analysis.

02
Intermediate

Intermediate EViews

Time-series analysis — Vector Autoregression (VAR), unit root tests, cointegration, the Error Correction Model (ECM), and Granger causality testing.

03
Advanced

Advanced EViews

Panel data analysis, advanced diagnostic tests (multicollinearity, heteroscedasticity, autocorrelation), and advanced panel regression models.

Course Content

Detailed Module Content

Every topic is covered hands-on in a live session. Each module is Ksh 5,000 per individual and runs for 5 hours. Modules can be booked individually or as a complete programme.

Mod1

Introduction to Basics of EViews

Data management · Transformation · Descriptive statistics · Normality tests · Regression & correlation

Ksh 5,000
5 hours

Basic Features & Data Management

Introduction to the EViews interface and workfiles
Opening data files
EViews Workfiles (.wf1)
Foreign files (Excel, CSV, text)
Importing and exporting values between EViews and Excel
Creating and managing series (variables)
Labelling and formatting series

Transformation of Data / Generating New Variables

Natural log transformations
Lag variables
First differences and growth rates
Generating new variables from existing series

Descriptive / Summary Statistics

Frequency tables
Graphs and visual plots
Charts and time-series line graphs
Group statistics and descriptive summaries

Residual Test for Normality

Graphical test — through Histograms
Jarque-Bera test for normality

Regression & Correlation

Formulation of hypothesis
Beta Coefficients and interpretation
Interpretation of R-Values
Interpretation of t-Statistics
R-squared and Adjusted R-squared
F-statistic and overall model significance
Mod2

Intermediate EViews — Time Series Analysis

VAR · Unit root tests · Cointegration · Error Correction Model · Granger causality

Ksh 5,000
5 hours

Vector Autoregression (VAR)

Introduction to multivariate time-series modelling
Setting up and estimating a VAR model
Lag selection criteria (AIC, SIC, HQ)
Impulse Response Functions (IRF)
Variance Decomposition

Test of Stationarity — Unit Root Tests

Why stationarity matters in time-series research
Augmented Dickey-Fuller (ADF) test
Phillips-Perron (PP) test
Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test
Interpretation of unit root test results
Order of integration — I(0), I(1), I(2)

Cointegration Analysis

Concept of cointegration and long-run relationships
Engle-Granger two-step cointegration test
Johansen cointegration test
Trace and Maximum Eigenvalue statistics
Interpreting the cointegration rank

Error Correction Model (ECM)

Short-run vs long-run dynamics
Building and estimating the ECM
Speed of adjustment coefficient interpretation
VECM (Vector Error Correction Model)

Granger Causality

Concept of Granger causality in economics research
Running the Granger causality test in EViews
Interpreting directional causality between variables
Pairwise vs block causality
Mod3

Advanced EViews — Panel Data Analysis

Panel data · Diagnostic tests · Panel regression models · Fixed & random effects

Ksh 5,000
5 hours

Panel Data Analysis

Introduction to panel data structure in EViews
Creating and managing panel workfiles
Balanced vs unbalanced panels
Panel descriptive statistics

Diagnostic Tests

Multicollinearity tests
Correlation matrix
Variance Inflation Factor (VIF)
Serial correlation / Autocorrelation test
Heteroscedasticity tests
Panel unit root tests (Levin-Lin-Chu, Im-Pesaran-Shin)

Panel Regression Models

Pooled OLS regression
Fixed Effects Model (FEM)
Random Effects Model (REM)
Hausman test — choosing between FEM and REM
Interpretation of Within, Between, and Overall R-squared
Driscoll-Kraay standard errors for robust panel estimation
Software Capabilities

Key EViews Capabilities You Will Master

EViews is one of the most complete econometric software environments available. Here are the core analytical areas covered across all three modules.

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Data Management

Open EViews workfiles, import from Excel and CSV, transform variables, generate lags and logs, and export results directly to Word, Excel, or PowerPoint for your thesis.

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Descriptive Statistics & Graphs

Frequency tables, summary statistics, time-series plots, histograms, and Jarque-Bera normality tests — all the descriptive tools required for Chapter Four of your dissertation.

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Unit Root & Stationarity Testing

ADF, Phillips-Perron, and KPSS unit root tests presented in clean, easy-to-interpret tables — one of EViews’ strongest capabilities compared to other software.

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Cointegration & ECM

Johansen and Engle-Granger cointegration testing, followed by Vector Error Correction Model (VECM) estimation — the gold standard for long-run economics research.

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Forecasting with VAR & ARIMA

Build VAR models for multivariate forecasting and ARIMA models for univariate time-series prediction — essential tools for economics and finance dissertations.

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Panel Data Econometrics

Fixed effects, random effects, Hausman test, and robust panel regression — required for any research using multi-country, multi-firm, or longitudinal panel datasets.

In Practice

Common EViews Commands You Will Learn

Our training is entirely practical. You will work with real EViews commands on real datasets — directly applicable to your own thesis or research project.

Data Import & Transformation
' Open EViews workfile open mydata.wf1 ' Import from Excel read(t=xls) mydata.xlsx ' Generate log transformation series lgdp = log(gdp) series linfl = log(inflation) ' Generate lag variable series lgdp_1 = lgdp(-1) ' First difference series dlgdp = d(lgdp) ' Descriptive statistics lgdp.stats
Unit Root & Stationarity
' ADF unit root test (level) lgdp.uroot(adf, trend, const) ' ADF test (first difference) dlgdp.uroot(adf, const) ' Phillips-Perron test lgdp.uroot(pp, trend, const) ' KPSS test lgdp.uroot(kpss, trend) ' Jarque-Bera normality freeze(jb_test) lgdp.hist ' View residuals histogram eq01.resids
Cointegration & ECM
' Johansen cointegration test coint(method=johansen) lgdp linfl lexch ' Estimate VECM var vec01 vec01.append @ec lgdp linfl lexch ' Granger causality test cause(4) lgdp linfl ' VAR model setup var var01.ls 1 4 lgdp linfl lexch ' Impulse Response Function var01.impulse(10,se=a) lgdp ' Variance decomposition var01.decomp(10) lgdp
Panel Data Regression
' Panel workfile setup create(u) paneldata 1 50 ' Pooled OLS equation eq_pool.ls y c x1 x2 x3 ' Fixed Effects regression equation eq_fe.ls y c x1 x2 x3 eq_fe.options effects=fixed ' Random Effects regression equation eq_re.ls y c x1 x2 x3 eq_re.options effects=random ' Hausman test (FE vs RE) hausman eq_fe eq_re
Is This For You?

Who Should Attend EViews Training?

EViews is particularly suited to researchers and students working with economic time-series and longitudinal panel data. Here is who benefits most from our training programme.

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Economics Masters & PhD Students

If your dissertation involves GDP, inflation, exchange rates, interest rates, or any macroeconomic time-series variable, EViews is your essential tool. Our training covers every technique required for Chapters 4 and 5.

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Finance Researchers

Stock prices, bond yields, exchange rate volatility — EViews’ time-series and cointegration tools are the industry standard for financial econometrics dissertations and thesis work.

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Policy Analysts & Government Researchers

Generate economic forecasts, model policy impacts, and run simulations. EViews is widely used by central banks, government agencies, and development organisations for policy analysis.

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Development & Public Policy Researchers

Analysing poverty, health, education, or agriculture data across countries and time periods? EViews panel data tools handle multi-country longitudinal datasets with ease.

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SPSS or Stata Users Adding EViews Skills

Already know another statistical tool but need EViews specifically for time-series or cointegration? You can enrol in Module 2 alone (Ksh 5,000) and get exactly what you need.

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Corporate & Business Analysts

Need to produce forecasts or economic models for corporate reports? Our training teaches you to generate professional-quality EViews output ready for publication and boardroom presentations.

Before You Begin

Course Requirements

Here is what you need to know before booking your EViews training session.

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EViews Software Installation

EViews software will be installed for you at a cost of Ksh 2,000. We take care of the setup so you can focus entirely on learning.

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Course Manual Provided

An EViews software manual will be provided in soft copy. Students will also be encouraged to access hard copy manuals for reference during and after training.

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Bring Your Own Laptop

Participants attending physical training are expected to bring their own laptop. For online training, you will need a laptop or desktop computer with stable internet access.

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Flexible Schedule

Training runs Monday to Friday from 9am to 6pm, and Saturdays from 9am to 5pm. The time schedule is fully flexible — it depends entirely on your availability and is agreed in advance.

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Certificate of Completion

Upon successful completion of the EViews training programme, every student will be awarded a certificate by Tobit Research Consulting. This certificate recognises your skills in econometric modelling and can be included in your academic or professional portfolio.

Questions Answered

Frequently Asked Questions

Everything you need to know before enrolling in EViews training.

What is the difference between EViews and Stata for time-series analysis?
EViews is purpose-built for time-series and forecasting — it has a more complete and intuitive set of tools for unit root testing, cointegration, VAR models, and ARIMA forecasting than Stata. Stata is more commonly used for panel data and cross-sectional research. If your research uses macroeconomic time-series variables (GDP, inflation, exchange rates), EViews is the recommended tool.
Can I book only one module — for example, just the intermediate time-series module?
Yes. Each module is independently bookable at Ksh 5,000 per individual. If you already have basic EViews knowledge and need only the time-series analysis techniques (VAR, cointegration, ECM, Granger causality), you can book Module 2 alone.
Do I need prior econometrics or statistics knowledge to attend?
Module 1 is designed for beginners — no prior econometrics knowledge is required. A basic understanding of research and data is helpful but not mandatory. For Module 2 and 3, it is recommended (though not required) that you have completed Module 1 or have equivalent experience with basic regression and data management.
How much does EViews software cost and will it work on my computer?
EViews software will be installed for you at a cost of Ksh 2,000 as part of the course requirements. EViews is available for both Windows and MacOS and does not require a high-performance computer — it runs comfortably on any standard laptop or desktop.
Is EViews used in Masters and PhD dissertations in Kenya?
Yes. EViews is widely used and accepted in Masters and PhD dissertations across Kenyan universities, particularly in economics, finance, business, and development studies departments. It is especially required for research using time-series data, cointegration testing, and panel data regression.
Will I receive a certificate after completing the training?
Yes. Upon successful completion of the EViews training, you will be awarded a certificate by Tobit Research Consulting. This can be included in your academic portfolio or professional CV as evidence of your econometric modelling skills.
Can I use my own research data during the training?
Absolutely — and we encourage it. Bringing your own research dataset makes the training directly applicable to your thesis or dissertation. If you do not have a dataset yet, we will use representative example datasets covering macroeconomic and financial variables throughout the session.
Ready to Begin?

Book Your EViews Training Session

Fill in our booking form or contact us directly by phone or WhatsApp. Our team is available Monday to Saturday to confirm your slot and answer any questions.

Get In Touch

Have Questions? Contact Us Directly

We are happy to help you decide which module to start with or discuss how EViews fits your specific research needs.

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