This course offered by the British Academy for Training and Development provides participants with appropriate modeling techniques for time series data when the unit root is in the data (for example: non-fixed data). Most economists face a problem in economic time series applications. An initial understanding of the common technical characteristics of time series data will be achieved. The concept of stability will also be defined along with discussion of its impact.

Target audience of this course:

Researchers and analysts in any of the following economic fields: development economics, general financial policies, taxes policies, social and health economics, financial markets, as well as international trade and finance.

Course Objectives:

After completing the course, students will be able to learn the following:

• Understanding and applying non-fixed time series analysis.
• Know the concept of dormancy and root unit testing.
• Application of advanced techniques in standard economic in joint integration processes and error correction models, especially in a multivariate context.
• Participants will be tested for an open book on the last day of the course. They will be awarded the certificate upon successful completion of this course.

• Overview of non-linear common integration.
• Data generation processes.
• Fixed and non-fixed time series.
• Error correction models.
• Common integration in uniform equations.
• Multivariate integration.
• Response function and contrast analysis.
• Joint integration methodology (Johannesburg)
• Self-regression vector model