Module HMB-3317:
Econometrics
Econometrics 2024-25
HMB-3317
2024-25
Bangor Business School
Module - Semester 1
20 credits
Module Organiser:
Debbie Gilliland
Overview
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).
Assessment Strategy
-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.
Learning Outcomes
- 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.
Assessment method
Exam (Centrally Scheduled)
Assessment type
Crynodol
Description
Centrally timetabled Formal Examination.
Weighting
60%
Assessment method
Coursework
Assessment type
Crynodol
Description
Assignment
Weighting
40%