The British Academy for Training and Development offers this course covering technologies applicable to fixed and non-fixed data lists. The course includes an introduction to the single and double-sided error element models. The course includes hypothesis testing, fixed effects, random effects, specification, and serial correlation as well as a discussion to correct them.

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:

• Estimating regression models of data organized in the list and dealing with violations of basic assumptions for regression analysis.
• Apply unit root testing techniques and co-integration if the root of the unit is in the data list.
• 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.

• Fixed data lists:
• One-sided error component models.
• Double sided error component models side.
• Testing hypotheses.
• Contrast and serial correlation.
• Regression models that have nothing to do with anything.
• Fixed data lists:
• Unit root tests.
• Non- fixed estimation of the time series.
• Joint integration tests.