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Online Course: EViews Essentials

Online Course: EViews Essentials

Course Overview

This is a web based training course, which is delivered and offers the same content as our public attendance classroom courses, with more convenience and without the travelling costs. Our web based courses are interactive but you attend at from a location of your choice, whether it is your home, office or remote location.

Our web based training course FAQ's can be viewed here.

The course is designed as an introduction to the popular econometric software, EViews. The focus will be on exposing participants to basic modules and structures of EViews that will help users to fully harness the capabilities of the software. With hands-on examples, discussions and in-class exercises, the course will introduce important concepts such as workfiles, objects, databases, graphical and data management capabilities and basic single-equation analysis. After this course, participants will be well prepared to pursue further learning leading to more advanced econometric analyses in areas such as time-series, panel data and other more sophisticated analyses.

Those interested in our EViews Fundamentals course may also consider the extension topics forming our EViews Programming course

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Course Agenda

Day 1

Session 1: Introduction to EViews

  • The EViews window
  • Managing Add-ins
  • Saving the work
  • Help menus
  • The command line

Session 2: Basic data handling

  • Common data objects
  • Workfile range and sample
  • Importing and exporting data
  • The series object and working with series
  • Random number generators
  • Workfile basics and command line

Session 3: Working with data

  • Descriptive statistics and tests
  • Tabulating data
  • Correlogram
  • Series adjustments
  • Key mathematical and statistical functions (probability distributions, density functions, absolute values and logarithms)

Session 4: Practice session

  • Working with EViews
  • Loading andverifying data
  • Manipulating data and random numbers
  • Working with the command window and program file

Day 2

Session 5: Introduction to OLS regression

  • Preparing the data for analysis
  • Estimating a regression model
  • Examining and interpreting the output
  • Further calibrations to the model

Session 6: Frequency conversions

  • High-low conversions
  • Low-high conversions
  • Missing data treatment

Session 7: Graph objects

  • Creating bar charts, pie charts and line plots
  • Customising and annotating graphs
  • Automatically updated graphs
  • Exercises

Session 8: Revision session

  • Re-cap
  • Programming primer session
  • Regression exercises

Learning ratio

This course has a learning ratio of approximately 75% practical to 25% theory.

Pre-course reading

  • Gujarati, D.N., (2003). Basic Econometrics, International Edition, 4th Edition, McGraw.
  • Studenmund, A. H., (2011). Using Econometrics: A Practical Guide, 6th Edition, Pearson.
  • Hill, R.C., Griffiths, W.E., Lim, G.C., (2008). Principles of Econometrics, 3rd Edition, Wiley.

Supplementary reading

  • Tsay, R.S., (2005). Analysis of Financial Time Series, 2nd Edition, Wiley.
  • Taylor, S., (2005). Asset Price Dynamics, Volatility, and Prediction, Princeton.

Prerequisites

Basic statistical analysis and / or regression analysis.

Terms and 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 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 1-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
    2-day EViews Essentials Online Course (21/08/2017 - 22/08/2017)

All prices exclude VAT or local taxes where applicable.

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