Overview

This course will extend the students' understanding of econometrics. Techniques for dealing with various forms of data will be studied; including those applicable to panel data, binary data, data arising from experiments and time series data. Diagnostic testing will be covered, as well as strategies for dealing with problems such as heteroskedasticity, multicollinearity, autocorrelation, measurement error, simultaneity bias and endogeneity.

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. -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. -another level-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.

Learning Outcomes

• Appropriately apply econometric techniques in the assessment of economic, 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.