Training Calendar

Regression analysis with EViews (Online Course - EST Time)

Online Half day (8th April 2019 - 8th April 2019) EViews Introductory
Delivered by: Dr Malvina Marchese, Cass Business School (City, University of London)
Econometrics, Regression analysis, Statistics


Our web based Regression Analysis with EViews course provides a complete and comprehensive discussion of linear and non-linear, simple and multiple, regression models with EViews. Regression modelling is the building block of any econometric and statistical research and as such, it is of extreme importance. The course is ideal for participants who wish to obtain a deep yet practical understanding of such powerful tool and apply it to empirical questions arising from economics, finance, health economics, and social science in general.

The course runs from 10.00am - 2.00pm (EST Time)


The course provides a comprehensive introduction to regression modelling in EViews, the powerful and user friendly econometric software. Taking a “learning-by-doing” approach, we aim to explain you the most advanced uses of regression analysis relying on plenty of examples and a constant stream of challenging exercises. Participants leave with a sounded know-how of regression modelling, a precise understanding of its uses and limitations and the courage to independently solve their own empirical questions. We aim to provide a clear understanding of how to use EViews to make the data speak and to obtain the best linear regression algorithm for any research question.

The course is intentionally flexible. The agenda emerges dynamically and depends on the group’s prior background and knowledge of regression analysis and basic EViews. By the end of the course, all participants will feel comfortable undertaking the following tasks:

  • Eyeballing the data and pre testing the regression specification
  • Setting up the model: specification and parameter estimation
  • Diagnostic tests: verifying the reliability of the regression output
  • Efficiency improvements, coefficients stability, linearity vs non-linearity
  • Choosing the best set of regressors: who is afraid of multicollinearity?
  • Dummy variables and the dummy variable trap
  • Forecasting with regressions models

Learning Ratio

80% practical; 20% theory

Principal texts for pre-course reading:

Adkins L.C , Hill R.C - Using EViews for principle of Econometrics (Appendix C)

Principal texts for post-course reading:

Adkins L.C , Hill R.C - Using EViews for principle of Econometrics (Chapter 2 to 8 included)

No prior knowledge of EViews is needed, however the online course “Getting started with EViews” is strongly recommended. No pre requisite in regression modelling is required.

Basic knowledge of hypothesis testing is required (the pre course reading will suffice for this) .

Terms & Conditions

  • Student registrations: Attendees must provide proof of full time student status at the time of booking to qualify for student registration rate (valid student ID card or authorised letter of enrolment).
  • Additional discounts are available for multiple registrations.
  • Cost includes course materials that will be posted to you prior to the start of the course.
  • Delegates are provided with temporary licences for the software(s) used in the course and will be instructed to download and install the software prior to the start of the course.
  • Payment of course fees required prior to the course start date.
  • Registration closes 5-calendar days prior to the start of the course.

    • 100% fee returned for cancellations made over 28-calendar days prior to start of the course.
    • 50% fee returned for cancellations made 14-calendar days prior to the start of the course.
    • No fee returned for cancellations made less than 14-calendar days prior to the start of the course.
  •  CommercialAcademicStudent
    Online - 8 April 2019 (08/04/2019 - 08/04/2019)

All prices exclude VAT or local taxes where applicable.

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