UnitLevel 6Postgraduate

BEX6510 Foundations of econometrics

Faculty of Business and Economics

BEX6510 Foundations of econometrics is a level 6, 0-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2026. It has no prerequisites.

Credit points
0
Offered in 2026
Not offered
Assessment
Exam 50%
and 3 other tasks
Workload
144 hours
per semester

This is the 2026 handbook entry. See the 2027 entry.

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Requisites

Before BEX6510

After BEX6510

No unit lists BEX6510 as a prerequisite in the 2026 handbook.

Enrolment rules

You must be enrolled in course 0029 or 3194.

Equivalent units

The same content under another code. Only one of them counts.

Overview

This unit provides a rigorous treatment of core methods of econometric estimation and inference in a single and also multiple equation settings. While you 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 you 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.

Offerings in 2026

The 2026 handbook lists no offerings for BEX6510.

Assessment

  • Exercise
    35%
  • Presentation
    5%
  • Quiz / Test
    10%
  • Examination
    50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    ensure PhD candidates master the core elements of econometrics to be able to generalise and apply these principles to research questions

  2. 2

    encourage and train PhD students to grind through complex scholarly journal articles and harvest the elements needed to conduct research

  3. 3

    train PhD students in developing a habit of using clear notation and clear arguments in research work.

Workload and teaching

  • Workshops36 hours
  • Teaching approachActive learning

 Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

Learning resources

Technology resources

There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.

Common questions

What are the prerequisites for BEX6510?

BEX6510 has no prerequisites, but enrolment rules apply.

When is BEX6510 offered?

BEX6510 has no offerings listed in the 2026 handbook.

How much work is BEX6510?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does BEX6510 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.

More details

Credit points
0
Level
6
Study level
Postgraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
HDR
EFTSL
0
Student contribution
SCA Band 4
Study abroad
Not available