Seminars and Courses

Although IHS EViews provides its own EViews training options, the following EViews related products and services may be of interest to members of the EViews community. Note that the descriptions and links for third–party products, semiars and courses are strictly informative and provided by the third–party service provider. This is not an endorsement by IHS EViews.

Timberlake Consultants 

An Introduction to EViews | Free Webinar
20th September 2023 (1:00 - 2:00 pm, London time)
London, UK

Online introduction to EViews software provides a complete overview of the basic features of EViews and is ideal for the new or beginner-level user who wants to have a head-start and learn how to use EViews efficiently for a range of econometric questions.

For further details visit or e-mail

Economic Modelling and Forecasting using EViews | EViews Summer School
25th – 29th September 2023 (online, London time)
London, UK

Brief overview: The 2023 EViews Summer School comprises a series of five 1-day courses running consecutivel. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 13 software. This edition features many new econometric methodologies which have been introduced in EViews 13.

For further details visit or e-mail


EViews Introduction:
20th – 21st July 2023
28th – 29th September 2023

This two day training covers the basic concepts of econometrics and time series analysis...

This course introduces the basic statistical tools that are commonly used in econometris. The focus lies on linear regression analysis in the context of time series.

At the same time EViews is introduced. EViews is the number-one software for time series analysis. It is easy to learn and easy to use. Thus it will support you in finding the right econometric models and make the most out of them.

  • Basic features of EViews
  • Answering economic problems with statistical tools
  • Perform simple linear regression
  • Validate the assumptions of statistical methods
  • Set up and interpret time series models in EViews

Requirements: Basic statistical knowledge is usefull but not required. No knowledge of EViews is required.

For further details visit or e-mail

EViews Modelling: Complex Models:
3rd – 4th August 2023
9th – 10th October 2023

This two-day-course is an advanced training for the analysis of economic time series data. We start with a recap of basic time series analysis and dynamic models in form of linear regression and ARIMA – models.

As a generalisation of that multivariate regression models and systems of equations are discussed. Vector–-Autoregressive (VAR) and Vector–Error–Correction–Models (VEC) are part of the training as a special case of systems of equations.

Final part of the training describes ways to model volatility of time series in form of Autoregressive Conditional Heteroscedasticity–models (ARCH, GARCH).

  • AR, MA and ARIMA models
  • ARDL – Dynamic regression models
  • Systems of Equations
  • VAR – and VEC – models
  • ARCH – and GARCH – models

Requirements: Participants should have a basic understanding of hypothesis testing, regression analysis and time series analysis in general.

For further details visit or e-mail

EViews – Scripting:
31st August 2023
5th October 2023

This one day course is all about the EViews scripting language. Starting with simple functions (data import, object declaration, ...) the participant becomes familiar with the typical syntax of the EViews scripting language.

The next step is to discuss the typical aspects of a programming language: loops, conditional statements, vectors and matrices. The training will cover database–access as well as graph customization and many real world examples.

  • Automatic data import
  • Overview over objects and commands
  • Loops and conditional statements
  • Database access
  • Vectors and matrices
  • Graph customization

For further details visit or e–mail

Requirements: Participants should be used to work with EViews and have a basic unterstanding of EViews workfiles and objects (e.g. series, equations). Basic programming experience is useful but not required.

Cambridge Econometrics

Introductory Econometrics
Dates on demand

Designed for people with a basic knowledge of statistics but probably very little econometrics, and introduces topics in both time series and microeconometrics. Includes: introduction to economic modelling; introduction to statistical concepts and data analysis; OLS properties, assumptions and violations; applied micro and time series examples.

Instructor: Ben Gardiner .

For further details email

Dates on demand

Aimed at intermediate level (some background knowledge / previous econometrics training). Includes: data analysis techniques; policy analysis; dealing with endogeneity; limited / censored dependent variables; introduction to panel techniques.

Instructor: Ben Gardiner.

For further details email

Time Series Econometrics
Dates on demand

Aimed at intermediate level (some background knowledge / previous econometrics training). Includes: data analysis techniques; univariate modelling; structural modelling; single-equation cointegration; multiple-equation cointegration.

Instructor: Ben Gardiner.

For further details email

Panel Data Econometrics
Dates on demand

Combines elements from both Microeconometrics and Time Series Econometrics to cover a more advanced set of topics, finishing up by looking at leading-edge developments in the field. Includes: panel data analysis; Unobserved effects panel data estimation; dynamic panel estimation; time series panel estimation.

Instructor: Ben Gardiner.

For further details email