Training Calendar

Introduction to EViews (Dubai)

Sofitel, Downtown Dubai 1 day (22nd November 2018 - 23rd January 2019) EViews Introductory
Delivered by: Dr. Samer Kherfi, American University of Sharjah
Programming, Regression analysis, Statistics
Overview

This one-day introductory course provides an introduction to EViews and some of its most popular functions, including: programming, handling graphs, univariate regression and misspecification analysis.

All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 10 software.

Agenda

Agenda
Learning Ratio
Pre-course reading
Post-course reading
Daily start/end time

Course 1: EViews Basics

Session 1

  • Introduction:
    • The notions of “workfile” and “object” in EViews.
    • Data handling and databases in EViews.

    Session 2

  • Introduction ll:
    • Brief introduction to programming and series transformations in EViews.
    • Data description: creating, editing, freezing and exporting graphs.
    • Descriptive statistics and tests.

    Session 3

  • CLRM I:
    • Preliminary theory for univariate regression: the Classical Linear Regression Model (CLRM), the CLRM assumptions, OLS estimation and regression statistics.

    Session 4

  • CLRM II:
    • Misspecification analysis: theory revision and diagnostic tests in EViews, stability tests and solutions to the misspecification problems
    • The General-to-Specific (GETS) approach.

    Learning Ratio

    • 90% practical; 10% theory.

    Pre-course Reading

    • EViews Help Files.

    Post-course Reading

    • EViews Help Files.

    Daily Timetable (subject to minor changes)

    (Subject to minor changes):

    Registration and Introduction to the course     08:45-09:10
    Session 1     09:20-10:50
    Tea/coffee break     10:50-11:10
    Session 2     11:10-12:40
    Lunch     12:40-13:40
    Session 3     13:40-15:10
    Tea/coffee break     15:10-15:30
    Session 4     15:30-17:00
Prerequisites
  • No prior knowledge of EViews required.
  • Basic regression and statistics knowledge.

For full Training Courses Terms & Conditions please click here.

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
    1-Day Course (22/11/2018 - 22/11/2018)
    1-Day Course (23/01/2019 - 23/01/2019)

All prices exclude VAT or local taxes where applicable.

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