Course Overview:
This course offered at IRES is designed to provide participants with a comprehensive understanding of time series econometrics using EViews. Participants will learn the fundamental concepts and methodologies involved in time series analysis, including stationarity, autoregressive and moving average models, cointegration, and forecasting techniques. The course emphasizes practical applications and hands-on experience with EViews, allowing participants to analyze real-world time series data, conduct diagnostic tests, and build econometric models for effective forecasting and policy analysis.
Course Duration:
5 Days
Target Audience:
- Economists
- Financial analysts
- Statisticians
- Researchers
- Data scientists
- Professionals involved in economic forecasting and financial modeling
Personal Impact:
- Develop expertise in time series econometric modeling using EViews.
- Gain practical skills in analyzing and interpreting time series data.
- Enhance your ability to conduct robust forecasting and policy analysis.
Organizational Impact:
- Improve organizational forecasting capabilities using advanced time series techniques.
- Apply time series econometrics to assess economic trends and inform decision-making.
- Strengthen analytical skills within the organization through effective model-building techniques.
Course Level:
Course Objectives:
By the end of this course, participants will be able to:
- Understand the key principles of time series analysis and econometrics.
- Conduct unit root tests and check for stationarity in time series data.
- Estimate and interpret autoregressive integrated moving average (ARIMA) models.
- Analyze cointegration relationships and build error correction models.
- Use EViews to develop and forecast time series models effectively.
Course Outline:
Module 1: Introduction to Time Series Analysis and EViews
- Overview of time series data and its characteristics
- Introduction to EViews and its capabilities for time series analysis
- Importing and managing time series data in EViews
- Practical Exercise: Data management and visualization in EViews
Module 2: Stationarity and Unit Root Testing
- Understanding stationarity and non-stationarity
- Conducting unit root tests (Dickey-Fuller, Augmented Dickey-Fuller)
- Interpreting the results of unit root tests
- Case Study: Analyzing stationarity in economic time series data
Module 3: ARIMA Modeling
- Introduction to ARIMA (Autoregressive Integrated Moving Average) models
- Identifying ARIMA models using ACF and PACF
- Estimating and diagnosing ARIMA models in EViews
- Practical Exercise: Building an ARIMA model for forecasting
Module 4: Cointegration and Error Correction Models
- Introduction to cointegration and its significance in time series analysis
- Conducting cointegration tests (Johansen, Engle-Granger)
- Building and interpreting error correction models (ECM)
- Case Study: Application of cointegration analysis in economic research
Module 5: Forecasting and Model Evaluation
- Techniques for forecasting with time series models
- Evaluating forecast accuracy and model performance
- Practical Exercise: Forecasting and assessing model accuracy in EViews
- Real-life Project: Developing a time series forecasting model using real-world data
Related Courses
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.
- 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]
Click here to register for this course.
Register NowCustomized Schedule is available for all courses irrespective of dates on the Calendar. Please get in touch with us for details.
Do you need more information on our courses? Talk to us.
