Econometrics (11227.1)

Please note these are the 2019 details for this unit
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Econometrics
Available teaching periods Delivery mode Location
View teaching periods On-campus
Online self-paced
 Bruce, Canberra
EFTSL Credit points Faculty
0.125 3 Faculty Of Business, Government & Law
Discipline Study level HECS Bands
Canberra School Of Politics, Economics And Society Level 2 - Undergraduate Intermediate Unit Band 4 2021 (Commenced After 1 Jan 2021)
Band 4 2021 (Commenced After 1 Jan Social Work_Exclude 0905)
Band 5 2021 (Commenced Before 1 Jan 2021)
This unit deals with econometric models and their application to problems in economics, finance and business. The unit builds on basic statistics concepts covered in an introductory statistics course. The focus is mainly on practical issues concerned with specifying, estimating and testing econometric models using a computer package. Topics covered in the unit include linear regression models (with one and multiple regressors), hypothesis testing, regression with limited dependent variable or time series regression and forecasting.

Learning outcomes

After successful completion of this unit, students will be able to:
1. Use econometric models and methods to analyse and interpret real data in finance and economics;
2. Manipulate econometric software to conduct empirical econometric analysis focused on solving a range of real world problems in finance and economics;
3. Identify the limitations of commonly used econometric models; and
4. Incorporate the outputs of various statistical and econometric models in reports to stakeholders, in ways that assist them to make decisions.


Graduate attributes

1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - communicate effectively
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - evaluate and adopt new technology


Prerequisites

11165 Quantitative Methods in Commerce

Corequisites

None.

Incompatible units

None.

Equivalent units

6541 Econometrics

Assumed knowledge

Students should have knowledge of basic statistics contained in the pre-requisite unit 'Quantitative Methods in Commerce'.
Availability for enrolment in 2026 is subject to change and may not be confirmed until closer to the teaching start date.
Year Location Teaching period Teaching start date Delivery mode Unit convener
2025 Bruce, Canberra Semester 2 28 July 2025 On-campus Dr Xiaodong Gong
2025 Bruce, Canberra Semester 2 28 July 2025 Online self-paced Dr Xiaodong Gong
2026 Bruce, Canberra Semester 2 10 August 2026 Online self-paced Dr Xiaodong Gong
2026 Bruce, Canberra Semester 2 10 August 2026 On-campus Dr Xiaodong Gong
Not available

Required texts

Main textbook:

Title: A Practical Guide to Using Econometrics, 7e

ISBN: 9781292154091

Author: Studenmund

Publisher: Pearson

Recommend reference:

Title: Introductory Econometrics (Asia-pacific 2nd edition)

ISBN: 9780170439534

Author: Wooldridge et al

Publisher: Cengage

 

Submission of assessment items

Special assessment requirements

Students who attempt all the compulsory assessment items, amass at least 50 percent of marks overall.

Use of AI is not permitted in this unit

The University's position is that artificial intelligence services must not be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an AI service may only be used if:

a) its use is authorised by the unit convener as part of the specified task; and

b) it is used in the way allowed in the assessment instructions and/or unit outline; and

c) its use is appropriately referenced, meaning that the students must reference the use of AI in their assessment in the same way as they reference other source material.

The use of AI has not been specified in the assessment instructions for the unit or in the unit outline and thus, AI is not a permissible resource.

Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.

Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.

UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.

Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Participation requirements

Active engagement in all online modules enhances your learning and is strongly advised. Unless specifically stated in the unit outline, there is no mandatory attendance requirement. However, you may elect to attend timetabled activities, as they allow you to ask 'real time' questions to develop your understanding for the relevant assessment tasks.

As per the University's policy students are expected to be available for all assessment items held during the semester, including the examination period.

Required IT skills

Computer literacy including Microsoft Office

Work placement, internships or practicums

N/A