EViews — Advanced Time Series Econometrics Course

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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

June 2024

Code Date Duration Location Fee Action
EAT02 24 Jun 2024 - 28 Jun 2024 5 days Nakuru, Kenya KES 75,000 | $1,100 Register
EAT02 24 Jun 2024 - 28 Jun 2024 5 days Pretoria, South Africa $2,400 Register
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June 2024

24 Jun - 28 Jun 2024
5 days
KES 75,000 $1,100
24 Jun - 28 Jun 2024
5 days
I Want To See More Dates...
I Want To See More Dates...


This is an applied course that focuses on hands-on experience in estimation, interpretation and evaluation of economic relationships. It aims at reconciling economic theory with practice thereby empowering delegates with analytical skills and a hands-on approach to the decision-making processes.


5 days


This course is best for researchers and analysts in any of the following fields of economic application is required: financial markets, socio-economics and health, development economics, public finance and tax policy or international trade and finance.

Course Level:


At the end of the course the learners will be able to have knowledge on:

  • Introduction to the concepts of regression (ordinary least squares estimation) and statistical inference.

  • Violations of the classical linear regression model that are often encountered in applied econometric work and the consequences of these violations

  • Practical ways of detecting (diagnostic testing) and solving these problems.

  • Various applications of regression analysis, such as forecasting and policy simulation

  • Practical implications of employing non-stationary data in the estimation

  • Detection of unit roots in the underlying data-generating processes

  • Concepts of residual-based co-integration and error-correction modeling.


  1. Principles and methodology of econometric analysis

  2. Introductory statistics

  3. Basics of regression analysis

  4. Single equation estimation

  5. Violations of the classical assumptions

  6. Regressions including dummy variables

  7. Non-stationarity and unit root testing

  8. Residual-based (Engle-Granger) co-integration

  9. Error correction models

  10. Simulation (forecasting and policy analysis)

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Course Administration Details:


The instructor-led training are delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Institute(IRES) certificate certified by the National Industrial Training Authority (NITA).


The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected] / [email protected]


This training can also be customized to suit the needs of your institution upon request. You can have it delivered at our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817 0r +250 789 621 067

Mob: +254 792516000+254 792516010   +250 789 621 067 or mail [email protected] / [email protected]


Payment should be transferred to IRES account through the bank before the course start date

Send proof of payment to [email protected] / [email protected]

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