units

ETX6510

Faculty of Business and Economics

Postgraduate - Unit

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

LevelPostgraduate
FacultyFaculty of Business and Economics
OfferedClayton Second semester 2014 (Day)
Coordinator(s)Dr Bonsoo Koo

Synopsis

This unit provides a rigorous treatment of core methods of econometric estimation and inference in a single and also multiple equation settings. While students are encouraged to look at every problem from several views (informal, algebraic, geometric, etc.), a large emphasis is placed on constructing formal arguments, and the importance of clear notation, definitions, assumptions and deductive arguments is emphasised. Formal lectures and references to graduate level textbooks are provided, and students are also assigned and encouraged to read some classic journal articles. This unit is designed for PhD students who intend to write a thesis in econometrics or business statistics. It is not intended for PhD students in other disciplines who need to learn some quantitative techniques for the empirical section of their dissertations, although students from other departments who are interested in more advanced methods may wish to take this unit.

Outcomes

The learning goals associated with this unit are to:

  1. ensure PhD candidates master the core elements of econometrics to be able to generalise and apply these principles to research questions
  2. encourage and train PhD students to grind through complex scholarly journal articles and harvest the elements needed to conduct research
  3. train PhD students in developing a habit of using clear notation and clear arguments in research work.

Assessment

Within semester assessment: 40%
Examination: 60%

Chief examiner(s)

Workload requirements

Minimum total expected workload equals 144 hours per semester

Prerequisites

Students must be enrolled in either the 3194 Master of Philosophy or the 0029 Doctor of Philosophy and have successfully completed ETX6500 Foundations of Statistical Inference to enrol in this unit.