Training Calendar

Programming with EViews

Online 2 days (14th December 2020 - 15th December 2020) EViews Introductory

Overview

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

EViews is a great statistical package. From its drop down menu one can easily run simple OLS regressions, conduct hypothesis testing, obtain misspecification tests, estimate non-linear least squares, estimate simultaneous equation models, test for unit roots and cointegration, estimate long-memory models and time varying conditional variance specifications, run VARs, VECMs and Bayesian VARS, obtain impulse responses from structural VARs and estimate mixed frequency models (MIDAS).

This course is for economists, econometricians and applied researchers who want to go even further in Eviews by coding something that is not implemented in the existing routines such as long memory GARCH models or Value at Risk. In addition, one may wish to make life easier and to ask EViews to perform some repetitive tasks. This is where EViews Programming starts. The goal of this training course is to make life easier, namely to do things with only a small investment instead of learning a completely new language.

Agenda

Two days of online instruction for four hours per day.
Two hours each morning, followed by two hours each afternoon.
Hour-long Q&A session at the end of each day to address queries.

Day 1

Session 1: Introduction to EViews, reading files, transforming data.

  • The basic structure of a program (reading files, transforming data, saving; elements, performing tasks).
  • Comparison with OLS menu command.

Session 2: Generating set of commands, functions, Matrix and vectors, graphs, tables.

    Day 2

    Session 1: Pseudo random number generators (normal and Student's t)For-next loops and if-then-else;

      Session 2: Monte Carlo simulations

Prerequisites

  • No prior knowledge of EViews is assumed
  • An introductory knowledge of linear regression is beneficial but it is not necessary
  • All costs exclude local taxes, where applicable.
  • 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 enrollment).
  • Additional discounts are available for multiple registrations.
  • 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 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.

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

  •  CommercialAcademicStudent
    2-Day Course (14 - 15 December 2020) (14/12/2020 - 15/12/2020)

All prices exclude VAT or local taxes where applicable.

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