Training Calendar

How to Write your Dissertation with EViews

Online 2 days (3rd August 2020 - 4th August 2020) Stata Introductory
Econometrics, Statistics, Summer School

The aim of this course is to provide participants with an in-depth understanding of how a good MSc dissertation should look, and how to easily use Eviews to obtain any required econometrics.

Participants will receive a free temporary EViews license, as well as a recording of the training session, that will be live for 30 days.

The course is meant for any MSc student writing their MSc dissertation, who needs guidance on the best structure, and most suitable econometric methods to apply. No previous knowledge of EViews is required.

  • How to structure your dissertation
  • Abstract and introduction in depth discussion and examples
  • How to get a smart literature review: discussion of successful examples
  • Build, estimate and forecast from linear regression, time series and panel data models using EViews
  • Understand and critically present and discuss your results

Day 1

Session 1

  • How to structure your dissertation, look into your data visualization, testing and how to present the data set.
  • What makes a good abstract?
  • How to run preliminary tests in Eviews and how to interpret them.
  • Writing the introduction : key points you must cover.

Session 2

  • What makes a good literature review? Examples.
  • Fitting econometric linear regression models in Eviews : how to estimate the models, run post estimation diagnostic tests, and interpret your results.

Day 2

Session 1

  • Time series models in Eviews: estimation , post estimation diagnostic tests and interpretation.
  • Extending your model to include variance GARCH effect: GARCH, EGARCH, TARCH, APARCH: estimation and post diagnostic tests in Eviews.
  • Do we really need a GARCH?
  • The ARCH test.
  • The ARMA-GARCH framework.

Session 2

  • Panel data models in Eviews: estimation, post estimation diagnostic tests and interpretation, fixed effect or random effect?
  • The Hausmann test and how to justify your modelling choice.
  • How to write good conclusions and convince your reader of your findings.
  • Q&A session

Basic knowledge of linear regression is helpful but not necessary. An introductory level of STATA is not assumed.

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.
  • Delegates are provided with temporary licences for the principal software package(s) used in the delivery of the course. It is essential that these temporary training licenses are installed on your computers prior to the start of the course.
  • Payment of course fees required prior to the course start date.
  • Registration closes 1 calendar day prior to the start of the course.
    • 100% fee returned for cancellations made more than 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.

The number of attendees is restricted. Please register early to guarantee your place.

  •  CommercialAcademicStudent
    3 - 4 August 2020 (03/08/2020 - 04/08/2020)

All prices exclude VAT or local taxes where applicable.

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