Faculty of Business and Management Sciences · Business Administration (English) · Undergraduate
Course Objective
Econometrics II builds upon the foundation established in Econometrics I and covers more advanced econometric techniques and their applications. This course comprises essential topics, including model specification and functional form selection, multicollinearity, serial correlation, heteroskedasticity, time-series models, dummy dependent variable techniques, and simultaneous equations. Students will learn how to diagnose and address common econometric problems, apply appropriate estimation methods, and interpret the results of their analyses. The course emphasizes both theoretical understanding and practical application through project work.
Course Content
This course covers model specification and choice of functional form, multicollinearity, serial correlation, heteroskedasticity, time series models, dummy dependent variable techniques, and simultaneous equations.
Course Learning Outcomes
- Knows how to select appropriate functional forms in model setup
- Detect serial correlation in time series data and take it into account in model setup
- Can detect and correct heteroskedasticity in regression models
- Can detect and correct multicollinearity in regression models
- Can set up dummy variable models
- Can analyze time series data
- Be able to apply simultaneous equation modeling techniques
- Develop skills to conduct independent econometric research and present findings effectively
- Gain practical experience using econometric software to analyze real-world data