Introduction
Provides participants with a comprehensive introduction to the EViews software, which is widely used for econometric analysis and forecasting. Throughout the course, participants will learn the fundamental concepts and techniques necessary to effectively utilize EViews for data analysis and modeling.
Duration
5 Days
Who Should Attend?
- Researchers and analysts.
- Policy analysts and policymakers.
- Econometricians and statisticians.
- Financial Analysts.
- Students and Academics.
Provides participants with a comprehensive introduction to the EViews software, which is widely used for econometric analysis and forecasting. Throughout the course, participants will learn the fundamental concepts and techniques necessary to effectively utilize EViews for data analysis and modeling.
Duration
5 Days
Who Should Attend?
- Researchers and analysts.
- Policy analysts and policymakers.
- Econometricians and statisticians.
- Financial Analysts.
- Students and Academics.
Course Level:
Course Objectives
- Familiarize participants with the EViews software: The course introduces participants to the EViews interface, workspace, and various tools available within the software. Participants will become comfortable navigating through EViews and accessing its features.
- Understand data management in EViews: Participants will learn how to import different types of data into EViews, manipulate and clean data, and organize datasets effectively. They will also explore data transformation techniques and handle missing data.
- Learn essential statistical and econometric techniques: The course covers fundamental statistical concepts and econometric methods used in data analysis. Participants will gain knowledge about descriptive statistics, hypothesis testing, regression analysis, time series analysis, and panel data analysis.
- Build and estimate econometric models: Participants will learn how to construct and estimate econometric models using EViews. They will understand the steps involved in model specification, estimation, and evaluation. The course covers various regression models, such as ordinary least squares (OLS), generalized least squares (GLS), and instrumental variable (IV) regression.
- Perform diagnostic tests and interpret results: Participants will acquire skills in conducting diagnostic tests to assess the validity and reliability of their econometric models. They will learn how to interpret the results of these tests and make informed decisions based on the diagnostic outcomes.
- Develop forecasting models: The course provides participants with the knowledge and tools to build forecasting models using EViews. They will learn different forecasting techniques and evaluate the accuracy of their forecasts.
- Generate informative graphs and reports: Participants will explore the graphical capabilities of EViews to create visually appealing and informative graphs. They will also learn how to generate reports and export results for further analysis or presentation.
Course outline
Module 1: Introduction to E-views
- Overview of EViews interface and workspace
- Data management and import/export capabilities
- Basic commands and operations in EViews
Module 2:Data handling and manipulation
- Importing and managing different types of data (e.g., time series, cross-sectional)
- Data cleaning, transformation, and aggregation
- Handling missing data and outliers
Module 3:Exploratory data analysis
- Descriptive statistics and graphical analysis
- Time series decomposition and visualization
- Correlation and covariance analysis
Module 4:Econometric modeling
- Introduction to Regression Analysis in EViews
- Model specification and estimation
- Hypothesis testing and model diagnostics
Module 5:Time series analysis
- Autocorrelation and stationarity analysis
- ARMA and ARIMA modeling
- Forecasting techniques
Module 6:Panel data analysis
- Panel data modeling and estimation
- Fixed effects and random effects models
- Panel data diagnostics and testing
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
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 PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
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:
- Email: [email protected]
- Phone: +254715 077 817
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]
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