EViews — Econometric Analysis of Panel Data Training Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

May 2025

Date Duration Location Standard Fee Action
19 May - 23 May 5 days Half-day KES 55,000 | $ 595 Individual Group

June 2025

Date Duration Location Standard Fee Action
16 Jun - 20 Jun 5 days Half-day KES 55,000 | $ 595 Individual Group

July 2025

Date Duration Location Standard Fee Action
14 Jul - 18 Jul 5 days Half-day KES 55,000 | $ 595 Individual Group

August 2025

Date Duration Location Standard Fee Action
18 Aug - 22 Aug 5 days Half-day KES 55,000 | $ 595 Individual Group

September 2025

Date Duration Location Standard Fee Action
15 Sep - 19 Sep 5 days Half-day KES 55,000 | $ 595 Individual Group

October 2025

Date Duration Location Standard Fee Action
20 Oct - 24 Oct 5 days Half-day KES 55,000 | $ 595 Individual Group

November 2025

Date Duration Location Standard Fee Action
17 Nov - 21 Nov 5 days Half-day KES 55,000 | $ 595 Individual Group

December 2025

Date Duration Location Standard Fee Action
15 Dec - 19 Dec 5 days Half-day KES 55,000 | $ 595 Individual Group

Course Overview:
This course offered at IRES is designed to equip participants with the tools and techniques needed to conduct econometric analysis of panel data using EViews. Panel data, which combines time series and cross-sectional dimensions, is a powerful tool for analyzing the behavior of entities over time. The course covers a range of topics, including fixed and random effects models, dynamic panel data models, and testing for heterogeneity and autocorrelation. Participants will learn how to use EViews to manage and analyze panel data, interpret model outputs, and apply these techniques to real-world data.

Course Duration:
5 Days

Target Audience:

  • Economists
  • Financial analysts
  • Policy analysts
  • Researchers
  • Statisticians
  • Data scientists and professionals involved in panel data analysis

Personal Impact:

  • Develop expertise in econometric modeling of panel data using EViews.
  • Enhance your ability to work with complex datasets that involve both time series and cross-sectional components.
  • Gain practical experience in analyzing and interpreting panel data results.

Organizational Impact:

  • Improve the organization’s ability to analyze longitudinal data for better decision-making.
  • Apply panel data techniques to evaluate performance, trends, and policy impacts.
  • Utilize econometric models to improve business forecasting and strategic planning.

Course Level:

Course Objectives:
By the end of this course, participants will be able to:

  • Understand the structure and key principles of panel data econometrics.
  • Estimate and interpret fixed and random effects models using EViews.
  • Build and estimate dynamic panel models, including system GMM.
  • Test for heterogeneity, autocorrelation, and other issues in panel data.
  • Apply panel data econometrics to real-world economic, financial, and policy-related datasets.

Course Outline:

Module 1: Introduction to Panel Data and EViews

  • Overview of panel data and its structure
  • Introduction to EViews for panel data analysis
  • Importing, managing, and organizing panel data in EViews
  • Practical Exercise: Data management for panel data in EViews

Module 2: Fixed Effects and Random Effects Models

  • Understanding fixed and random effects models
  • Estimating and interpreting fixed effects models in EViews
  • Estimating random effects models and running the Hausman test
  • Case Study: Application of fixed and random effects models using firm-level data

Module 3: Dynamic Panel Data Models

  • Introduction to dynamic panel data models
  • Using difference and system GMM for dynamic modeling
  • Dealing with endogeneity and autocorrelation in dynamic models
  • Practical Exercise: Estimating dynamic panel models using EViews

Module 4: Diagnostic Tests for Panel Data Models

  • Testing for heterogeneity, autocorrelation, and heteroscedasticity in panel data
  • Conducting diagnostic tests in EViews
  • Interpreting model outputs and refining models
  • Case Study: Conducting diagnostic testing and model refinement for economic data

Module 5: Advanced Applications of Panel Data Analysis

  • Advanced topics in panel data econometrics, such as cointegration and causality tests
  • Practical Exercise: Advanced panel data modeling in EViews
  • Real-life Project: Developing and interpreting a panel data model using your organization’s data

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Course Administration Details:

Methodology

These instructor-led training sessions are delivered using a blended learning approach and include presentations, guided practical exercises, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience as professionals and trainers in these fields. All facilitation and course materials are offered in English. Participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Venue

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and Airport Transfer are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]


Course Registration

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