Module ASB-3317:
Econometrics

Module Facts

Run by Bangor Business School

20 Credits or 10 ECTS Credits

Semester 1

Organiser: Dr Chrysovalantis Vasilakis

Overall aims and purpose

The course introduces students to regression analysis, the pitfalls that empirical researchers confront when using these tools, and the methods they use to overcome them. Throughout there is a strong focus on trying to establish cause and effect, rather than just associations.

Course content

• The linear regression model; • Ordinary least squares; • Goodness of fit and the explanatory power of a regression model; • Endogeneity; • Dynamic regression model:distributed lag and autoregressive models; • Non-stationarity and testing unit roots; • Instrumental variables; • Regression analysis using discrete choice data; • Regression analysis using panel data.

Assessment Criteria

threshold

Satisfactory standard: 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.

excellent

Excellent standard: 70+: An outstanding performance, exceptionally able. 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.

good

Average Standard: 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.

High Standard: 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.

Learning outcomes

  1. Demonstrate a critical awareness of the implicit assumptions and the limitations underlying empirical models.

  2. Understand and interpret surveys, reports and academic literature that contain a basic econometrics component.

  3. Demonstrate a solid theoretical and practical grounding in econometrics.

Assessment Methods

Type Name Description Weight
Assignment 40
Exam S1 2.5hrs 60

Teaching and Learning Strategy

Hours
Lecture

Lectures: 3 hours of lectures each week.

30
Practical classes and workshops

Computer workshops: 1 hour each week.

10
Private study 160

Pre- and Co-requisite Modules

Courses including this module

Compulsory in courses:

Optional in courses: