Module ETB-3317:
Econometrics
Econometrics 2024-25
ETB-3317
2024-25
Bangor Business School
Module - Semester 1
20 credits
Module Organiser:
Bruce Vanstone
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).
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 type
Crynodol
Description
Assignment
Weighting
40%
Assessment type
Crynodol
Description
Formal Examination
Weighting
60%