Bangor Business School
Module - Semester 1
The course will cover the linear regression model (LRM), ordinary least squares, goodness of fit and the explanatory power of a regression model, hypothesis testing, model diagnostics, Heteroskedasticity, Multicollinearity, Dummy Variables, Autocorrelation, measurement error, simultaneity bias, endogeneity, Instrumental variables, Maximum Likelihood Estimation, Panel data (Static and Dynamic Models).
-threshold -D- to D+ (40-49%): No major omissions or inaccuracies in the deployment of information/skills. Some grasp of theoretical/conceptual/practical elements. Integration of theory/practice/information present intermittently in pursuit of the assessed work's objectives.
-satisfactory-C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.
-good -B- to B+ (60-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills.
-excellent -A- to A* (70%+): Outstanding Performance. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.
- Appropriately apply econometric techniques in the assessment of financial and banking issues.
- Collect and critically evaluate data from primary and secondary resources.
- Demonstrate a critical awareness of the merits and pitfalls of the implicit assumptions and the limitations underlying empirical models.
- Demonstrate a thorough awareness of theoretical and practical aspects of econometrics.
- Demonstrate team work skills in analysing a contemporary econometric issue.
- Demonstrate the ability to assess and interpret surveys, reports and academic literature that apply advanced econometrics.
Exam (Centrally Scheduled)
Centrally timetabled Formal Examination.